From 2d54012635502a5f2dec0fb5e5f285636eebf927 Mon Sep 17 00:00:00 2001 From: =?UTF-8?q?=D0=95=D0=BB=D0=B5=D0=BD=D0=B0=20=D0=91=D0=B0=D0=BA=D0=B0?= =?UTF-8?q?=D0=BB=D1=8C=D1=81=D0=BA=D0=B0=D1=8F?= Date: Sun, 16 Feb 2025 22:17:42 +0400 Subject: [PATCH 1/6] =?UTF-8?q?=D1=82=D0=BE=20=D0=BB=D0=B8=20=D1=81=20?= =?UTF-8?q?=D0=B2=D0=B5=D1=82=D0=BA=D0=B0=D0=BC=D0=B8=20=D0=B7=D0=B0=D0=BF?= =?UTF-8?q?=D1=83=D1=82=D0=B0=D0=BB=D0=B0=D1=81=D1=8C,=20=D1=82=D0=BE=20?= =?UTF-8?q?=D0=BB=D0=B8=20=D1=87=D1=82=D0=BE=20-=20=D0=BD=D0=B5=D0=BF?= =?UTF-8?q?=D0=BE=D0=BD=D1=8F=D1=82=D0=BD=D0=BE.=20=D0=B2=D1=81=D1=82?= =?UTF-8?q?=D0=B0=D0=B2=D0=B8=D0=BB=D0=B0=20=D0=B2=D0=BE=D1=82=20=D0=B8?= =?UTF-8?q?=D0=B7=20tmp=20=D0=BF=D0=B0=D0=BF=D0=BA=D0=B8=20=D1=81=D0=B2?= =?UTF-8?q?=D0=BE=D0=B8=20=D0=BD=D0=B0=D1=80=D0=B0=D0=B1=D0=BE=D1=82=D0=BA?= =?UTF-8?q?=D0=B8=20=D0=B8=20=D0=BF=D1=80=D0=BE=D0=B4=D0=BE=D0=BB=D0=B6?= =?UTF-8?q?=D0=B0=D1=8E=20=D0=BB=D0=B0=D0=B1=D1=83=207?= MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit --- lab_7/csv/option4.csv | 5111 ++++++++++++++++++++++++++++++++++++++++ lab_7/lab_7.ipynb | 134 ++ lab_7/requirements.txt | Bin 0 -> 2670 bytes 3 files changed, 5245 insertions(+) create mode 100644 lab_7/csv/option4.csv create mode 100644 lab_7/lab_7.ipynb create mode 100644 lab_7/requirements.txt diff --git a/lab_7/csv/option4.csv b/lab_7/csv/option4.csv new file mode 100644 index 0000000..763aacc --- /dev/null +++ b/lab_7/csv/option4.csv @@ -0,0 +1,5111 @@ +id,gender,age,hypertension,heart_disease,ever_married,work_type,Residence_type,avg_glucose_level,bmi,smoking_status,stroke +9046,Male,67,0,1,Yes,Private,Urban,228.69,36.6,formerly smoked,1 +51676,Female,61,0,0,Yes,Self-employed,Rural,202.21,N/A,never smoked,1 +31112,Male,80,0,1,Yes,Private,Rural,105.92,32.5,never smoked,1 +60182,Female,49,0,0,Yes,Private,Urban,171.23,34.4,smokes,1 +1665,Female,79,1,0,Yes,Self-employed,Rural,174.12,24,never smoked,1 +56669,Male,81,0,0,Yes,Private,Urban,186.21,29,formerly smoked,1 +53882,Male,74,1,1,Yes,Private,Rural,70.09,27.4,never smoked,1 +10434,Female,69,0,0,No,Private,Urban,94.39,22.8,never smoked,1 +27419,Female,59,0,0,Yes,Private,Rural,76.15,N/A,Unknown,1 +60491,Female,78,0,0,Yes,Private,Urban,58.57,24.2,Unknown,1 +12109,Female,81,1,0,Yes,Private,Rural,80.43,29.7,never smoked,1 +12095,Female,61,0,1,Yes,Govt_job,Rural,120.46,36.8,smokes,1 +12175,Female,54,0,0,Yes,Private,Urban,104.51,27.3,smokes,1 +8213,Male,78,0,1,Yes,Private,Urban,219.84,N/A,Unknown,1 +5317,Female,79,0,1,Yes,Private,Urban,214.09,28.2,never smoked,1 +58202,Female,50,1,0,Yes,Self-employed,Rural,167.41,30.9,never smoked,1 +56112,Male,64,0,1,Yes,Private,Urban,191.61,37.5,smokes,1 +34120,Male,75,1,0,Yes,Private,Urban,221.29,25.8,smokes,1 +27458,Female,60,0,0,No,Private,Urban,89.22,37.8,never smoked,1 +25226,Male,57,0,1,No,Govt_job,Urban,217.08,N/A,Unknown,1 +70630,Female,71,0,0,Yes,Govt_job,Rural,193.94,22.4,smokes,1 +13861,Female,52,1,0,Yes,Self-employed,Urban,233.29,48.9,never smoked,1 +68794,Female,79,0,0,Yes,Self-employed,Urban,228.7,26.6,never smoked,1 +64778,Male,82,0,1,Yes,Private,Rural,208.3,32.5,Unknown,1 +4219,Male,71,0,0,Yes,Private,Urban,102.87,27.2,formerly smoked,1 +70822,Male,80,0,0,Yes,Self-employed,Rural,104.12,23.5,never smoked,1 +38047,Female,65,0,0,Yes,Private,Rural,100.98,28.2,formerly smoked,1 +61843,Male,58,0,0,Yes,Private,Rural,189.84,N/A,Unknown,1 +54827,Male,69,0,1,Yes,Self-employed,Urban,195.23,28.3,smokes,1 +69160,Male,59,0,0,Yes,Private,Rural,211.78,N/A,formerly smoked,1 +43717,Male,57,1,0,Yes,Private,Urban,212.08,44.2,smokes,1 +33879,Male,42,0,0,Yes,Private,Rural,83.41,25.4,Unknown,1 +39373,Female,82,1,0,Yes,Self-employed,Urban,196.92,22.2,never smoked,1 +54401,Male,80,0,1,Yes,Self-employed,Urban,252.72,30.5,formerly smoked,1 +14248,Male,48,0,0,No,Govt_job,Urban,84.2,29.7,never smoked,1 +712,Female,82,1,1,No,Private,Rural,84.03,26.5,formerly smoked,1 +47269,Male,74,0,0,Yes,Private,Rural,219.72,33.7,formerly smoked,1 +24977,Female,72,1,0,Yes,Private,Rural,74.63,23.1,formerly smoked,1 +47306,Male,58,0,0,No,Private,Rural,92.62,32,Unknown,1 +62602,Female,49,0,0,Yes,Private,Urban,60.91,29.9,never smoked,1 +4651,Male,78,0,0,Yes,Private,Rural,78.03,23.9,formerly smoked,1 +1261,Male,54,0,0,Yes,Private,Urban,71.22,28.5,never smoked,1 +61960,Male,82,0,1,Yes,Private,Urban,144.9,26.4,smokes,1 +1845,Female,63,0,0,Yes,Private,Urban,90.9,N/A,formerly smoked,1 +7937,Male,60,1,0,Yes,Govt_job,Urban,213.03,20.2,smokes,1 +19824,Male,76,1,0,Yes,Private,Rural,243.58,33.6,never smoked,1 +37937,Female,75,0,1,No,Self-employed,Urban,109.78,N/A,Unknown,1 +47472,Female,58,0,0,Yes,Private,Urban,107.26,38.6,formerly smoked,1 +35626,Male,81,0,0,Yes,Self-employed,Urban,99.33,33.7,never smoked,1 +36338,Female,39,1,0,Yes,Private,Rural,58.09,39.2,smokes,1 +18587,Female,76,0,0,No,Private,Urban,89.96,N/A,Unknown,1 +15102,Male,78,1,0,Yes,Private,Urban,75.32,N/A,formerly smoked,1 +59190,Female,79,0,1,Yes,Private,Rural,127.29,27.7,never smoked,1 +47167,Female,77,1,0,Yes,Self-employed,Urban,124.13,31.4,never smoked,1 +8752,Female,63,0,0,Yes,Govt_job,Urban,197.54,N/A,never smoked,1 +25831,Male,63,0,1,Yes,Private,Rural,196.71,36.5,formerly smoked,1 +38829,Female,82,0,0,Yes,Private,Rural,59.32,33.2,never smoked,1 +66400,Male,78,0,0,Yes,Private,Urban,237.75,N/A,formerly smoked,1 +58631,Male,73,1,0,Yes,Self-employed,Urban,194.99,32.8,never smoked,1 +5111,Female,54,1,0,Yes,Govt_job,Urban,180.93,27.7,never smoked,1 +10710,Female,56,0,0,Yes,Private,Urban,185.17,40.4,formerly smoked,1 +55927,Female,80,1,0,Yes,Private,Rural,74.9,22.2,never smoked,1 +65842,Female,67,1,0,Yes,Self-employed,Rural,61.94,25.3,smokes,1 +19557,Female,45,0,0,Yes,Private,Rural,93.72,30.2,formerly smoked,1 +7356,Male,75,0,0,Yes,Private,Urban,104.72,N/A,Unknown,1 +17013,Male,78,1,0,No,Private,Urban,113.01,24,never smoked,1 +17004,Female,70,0,0,Yes,Private,Urban,221.58,47.5,never smoked,1 +72366,Male,76,0,0,Yes,Private,Urban,104.47,20.3,Unknown,1 +6118,Male,59,0,0,Yes,Private,Urban,86.23,30,formerly smoked,1 +7371,Female,80,1,0,Yes,Self-employed,Rural,72.67,28.9,never smoked,1 +70676,Female,76,0,0,Yes,Govt_job,Rural,62.57,N/A,formerly smoked,1 +2326,Female,67,1,0,Yes,Private,Rural,179.12,28.1,formerly smoked,1 +27169,Female,66,1,0,Yes,Govt_job,Rural,116.55,31.1,formerly smoked,1 +50784,Male,63,0,0,Yes,Private,Rural,228.56,27.4,never smoked,1 +19773,Female,52,0,0,Yes,Private,Rural,96.59,26.4,never smoked,1 +66159,Female,80,0,1,Yes,Self-employed,Rural,66.72,21.7,formerly smoked,1 +36236,Male,80,1,0,Yes,Private,Urban,240.09,27,never smoked,1 +71673,Female,79,0,0,Yes,Private,Urban,110.85,24.1,formerly smoked,1 +45805,Female,51,0,0,Yes,Private,Urban,165.31,N/A,never smoked,1 +42117,Male,43,0,0,Yes,Self-employed,Urban,143.43,45.9,Unknown,1 +57419,Male,59,0,0,Yes,Private,Rural,96.16,44.1,Unknown,1 +26015,Female,66,0,0,Yes,Self-employed,Urban,101.45,N/A,Unknown,1 +26727,Female,79,0,0,No,Private,Rural,88.92,22.9,never smoked,1 +66638,Female,68,1,0,No,Self-employed,Urban,79.79,29.7,never smoked,1 +70042,Male,58,0,0,Yes,Private,Urban,71.2,N/A,Unknown,1 +32399,Male,54,0,0,Yes,Private,Rural,96.97,29.1,smokes,1 +3253,Male,61,0,1,Yes,Private,Rural,111.81,27.3,smokes,1 +71796,Female,70,0,1,Yes,Private,Rural,59.35,32.3,formerly smoked,1 +14499,Male,47,0,0,Yes,Private,Urban,86.94,41.1,formerly smoked,1 +49130,Male,74,0,0,Yes,Private,Urban,98.55,25.6,Unknown,1 +28291,Female,79,0,1,Yes,Private,Urban,226.98,29.8,never smoked,1 +51169,Male,81,0,0,Yes,Private,Urban,72.81,26.3,never smoked,1 +66315,Female,57,0,0,No,Self-employed,Urban,68.02,37.5,never smoked,1 +37726,Female,80,1,0,Yes,Self-employed,Urban,68.56,26.2,Unknown,1 +54385,Male,45,0,0,Yes,Private,Rural,64.14,29.4,never smoked,1 +2458,Female,78,0,0,Yes,Private,Rural,235.63,32.3,never smoked,1 +35512,Female,70,0,0,Yes,Self-employed,Rural,76.34,24.4,formerly smoked,1 +56841,Male,58,0,1,Yes,Private,Rural,240.59,31.4,smokes,1 +8154,Male,57,1,0,Yes,Govt_job,Urban,78.92,27.7,formerly smoked,1 +4639,Female,69,0,0,Yes,Govt_job,Urban,82.81,28,never smoked,1 +12363,Male,64,0,1,Yes,Govt_job,Urban,74.1,28.8,Unknown,1 +63973,Female,77,0,0,Yes,Govt_job,Rural,190.32,31.4,never smoked,1 +45277,Female,74,0,0,Yes,Private,Rural,231.61,34.6,formerly smoked,1 +4712,Female,81,0,1,Yes,Self-employed,Rural,78.7,19.4,Unknown,1 +33175,Female,57,0,0,Yes,Govt_job,Urban,110.52,28.5,Unknown,1 +2346,Male,58,0,0,Yes,Private,Urban,82.3,N/A,smokes,1 +42072,Female,50,1,0,Yes,Private,Rural,73.18,30.3,formerly smoked,1 +12062,Female,54,0,0,Yes,Self-employed,Rural,191.82,40.4,smokes,1 +30456,Female,79,0,0,Yes,Private,Rural,93.05,24.2,never smoked,1 +59125,Female,53,0,0,Yes,Govt_job,Urban,64.17,41.5,never smoked,1 +56546,Male,79,0,1,Yes,Private,Rural,129.98,22.6,formerly smoked,1 +48405,Male,80,0,1,Yes,Private,Urban,68.53,24.2,smokes,1 +36706,Female,76,0,0,Yes,Self-employed,Urban,106.41,N/A,formerly smoked,1 +41069,Female,45,0,0,Yes,Private,Rural,224.1,56.6,never smoked,1 +71639,Female,68,0,0,No,Govt_job,Urban,82.1,27.1,Unknown,1 +53401,Male,71,1,1,No,Govt_job,Rural,216.94,30.9,never smoked,1 +60744,Male,61,1,0,Yes,Self-employed,Rural,76.11,27.3,smokes,1 +7547,Male,74,0,0,Yes,Private,Urban,72.96,31.3,smokes,1 +31720,Female,38,0,0,No,Self-employed,Urban,82.28,24,formerly smoked,1 +5563,Female,77,0,0,Yes,Private,Urban,105.22,31,never smoked,1 +68798,Female,58,0,0,Yes,Private,Rural,59.86,28,formerly smoked,1 +72918,Female,53,1,0,Yes,Private,Urban,62.55,30.3,Unknown,1 +13491,Male,80,0,0,Yes,Private,Rural,259.63,31.7,smokes,1 +44033,Male,56,1,0,Yes,Private,Rural,249.31,35.8,never smoked,1 +14164,Female,72,0,0,Yes,Private,Urban,219.91,N/A,Unknown,1 +50522,Female,72,0,0,Yes,Govt_job,Urban,131.41,28.4,never smoked,1 +3352,Male,78,1,0,Yes,Self-employed,Urban,93.13,N/A,formerly smoked,1 +70943,Female,80,0,0,Yes,Private,Urban,73.54,24,Unknown,1 +37132,Male,82,0,0,Yes,Govt_job,Urban,200.59,29,formerly smoked,1 +48796,Female,75,0,0,Yes,Govt_job,Urban,62.48,N/A,Unknown,1 +53440,Female,73,1,0,Yes,Private,Rural,190.14,36.5,never smoked,1 +16817,Female,78,1,0,No,Private,Urban,130.54,20.1,never smoked,1 +69551,Male,69,1,0,No,Private,Rural,182.99,36.5,never smoked,1 +31563,Female,38,0,0,Yes,Private,Rural,101.45,N/A,formerly smoked,1 +20387,Female,68,1,0,Yes,Self-employed,Rural,206.09,26.7,never smoked,1 +71279,Female,71,0,0,Yes,Govt_job,Urban,263.32,38.7,never smoked,1 +55824,Male,76,0,0,Yes,Private,Urban,140.1,29.9,formerly smoked,1 +11762,Female,76,0,0,Yes,Private,Urban,207.28,34.9,Unknown,1 +29281,Male,76,1,0,Yes,Self-employed,Rural,194.37,27,formerly smoked,1 +30683,Female,75,0,0,Yes,Private,Rural,199.2,26.6,Unknown,1 +20439,Male,82,0,1,Yes,Govt_job,Rural,103.68,25,never smoked,1 +45965,Female,59,0,0,Yes,Private,Rural,116.44,23.8,smokes,1 +8045,Female,74,1,0,Yes,Private,Urban,70.28,21.8,never smoked,1 +37651,Female,69,1,1,No,Self-employed,Urban,72.17,36.8,never smoked,1 +17308,Female,72,1,0,Yes,Private,Urban,221.79,30,never smoked,1 +67981,Male,66,0,0,Yes,Private,Urban,151.16,27.5,formerly smoked,1 +41241,Male,65,0,0,Yes,Self-employed,Urban,68.43,N/A,formerly smoked,1 +62861,Female,78,0,0,Yes,Private,Urban,67.29,24.6,never smoked,1 +72081,Female,57,1,0,Yes,Govt_job,Rural,67.41,32.9,never smoked,1 +58978,Female,70,0,1,Yes,Private,Rural,239.07,26.1,never smoked,1 +11933,Female,79,0,0,Yes,Private,Rural,169.67,N/A,Unknown,1 +46703,Male,68,0,1,Yes,Private,Urban,223.83,31.9,formerly smoked,1 +32503,Female,80,0,0,Yes,Self-employed,Urban,76.57,34.1,never smoked,1 +12482,Male,68,0,0,Yes,Self-employed,Urban,77.82,27.5,smokes,1 +56939,Female,55,0,0,Yes,Self-employed,Rural,92.98,25.6,never smoked,1 +24669,Female,77,0,1,Yes,Private,Rural,231.56,36.9,never smoked,1 +43054,Female,50,0,0,Yes,Private,Rural,102.16,31.4,smokes,1 +59437,Female,57,0,0,Yes,Private,Urban,221.89,37.3,smokes,1 +66258,Female,71,0,0,Yes,Self-employed,Urban,195.71,34.1,formerly smoked,1 +34567,Female,81,1,0,Yes,Self-employed,Rural,74.02,25,never smoked,1 +50931,Female,76,0,0,Yes,Private,Urban,57.92,N/A,formerly smoked,1 +16590,Male,71,0,1,Yes,Private,Urban,81.76,N/A,smokes,1 +69768,Female,1.32,0,0,No,children,Urban,70.37,N/A,Unknown,1 +20426,Female,78,1,0,No,Private,Urban,203.87,45.7,never smoked,1 +3512,Female,70,1,0,Yes,Self-employed,Urban,89.13,34.2,formerly smoked,1 +42899,Male,78,0,0,Yes,Self-employed,Urban,133.19,23.6,formerly smoked,1 +63453,Female,56,0,0,Yes,Govt_job,Rural,162.23,27.3,Unknown,1 +43364,Male,79,1,0,Yes,Private,Rural,75.02,N/A,never smoked,1 +44993,Female,79,1,0,No,Govt_job,Urban,98.02,22.3,formerly smoked,1 +210,Male,81,0,0,Yes,Self-employed,Rural,91.54,31.4,never smoked,1 +28939,Male,64,0,0,Yes,Self-employed,Rural,111.98,N/A,formerly smoked,1 +60739,Female,79,1,1,No,Self-employed,Rural,60.94,N/A,never smoked,1 +67432,Female,60,0,0,Yes,Private,Urban,97.43,26.4,smokes,1 +2182,Female,80,1,0,Yes,Self-employed,Rural,91.02,32.9,formerly smoked,1 +40899,Female,78,0,0,Yes,Self-employed,Rural,60.67,N/A,formerly smoked,1 +14431,Male,72,1,0,Yes,Self-employed,Rural,185.49,37.1,never smoked,1 +62466,Female,80,0,0,Yes,Private,Urban,64.44,45,never smoked,1 +36841,Male,78,1,0,Yes,Self-employed,Rural,56.11,25.5,formerly smoked,1 +33486,Female,80,0,0,Yes,Govt_job,Urban,110.66,N/A,Unknown,1 +65105,Male,81,0,0,Yes,Private,Urban,213.22,26.1,Unknown,1 +54567,Female,46,0,0,Yes,Private,Urban,78.18,30.8,never smoked,1 +66204,Male,59,0,0,Yes,Private,Urban,111.04,32,formerly smoked,1 +39912,Female,32,0,0,Yes,Private,Rural,76.13,29.9,smokes,1 +8003,Female,77,0,0,No,Private,Urban,81.32,N/A,Unknown,1 +28378,Male,61,1,1,Yes,Private,Urban,112.24,37.4,smokes,1 +41081,Male,63,0,0,Yes,Private,Rural,137.3,31.7,formerly smoked,1 +16077,Male,63,0,1,Yes,Self-employed,Urban,116.69,34.5,formerly smoked,1 +67895,Female,82,1,1,Yes,Govt_job,Urban,215.94,27.9,formerly smoked,1 +30184,Male,82,0,0,Yes,Private,Rural,86.62,29.5,formerly smoked,1 +66955,Male,61,0,1,Yes,Private,Urban,209.86,N/A,Unknown,1 +24905,Female,65,0,0,Yes,Private,Urban,205.77,46,formerly smoked,1 +66071,Male,51,1,0,Yes,Private,Urban,112.16,42.5,formerly smoked,1 +36255,Male,59,0,0,Yes,Self-employed,Rural,118.03,35.5,smokes,1 +69112,Male,68,1,1,Yes,Private,Rural,271.74,31.1,smokes,1 +23410,Female,72,0,0,Yes,Private,Rural,97.92,26.9,smokes,1 +64373,Male,59,0,0,Yes,Private,Urban,200.62,35.8,formerly smoked,1 +58267,Male,70,1,0,Yes,Private,Rural,242.52,45.5,formerly smoked,1 +35684,Male,69,0,0,Yes,Private,Rural,93.81,28.5,Unknown,1 +18937,Male,79,0,0,Yes,Private,Rural,114.77,N/A,formerly smoked,1 +491,Female,74,0,0,Yes,Self-employed,Urban,74.96,26.6,never smoked,1 +54695,Male,74,0,0,Yes,Private,Urban,167.13,N/A,Unknown,1 +68627,Male,80,1,1,Yes,Private,Urban,175.29,31.5,formerly smoked,1 +8580,Female,77,0,0,Yes,Self-employed,Rural,90,32,never smoked,1 +28484,Female,78,0,0,Yes,Self-employed,Rural,109.47,30.8,never smoked,1 +62019,Male,54,0,0,Yes,Govt_job,Rural,87.85,31.1,smokes,1 +51314,Female,78,0,0,Yes,Private,Urban,106.74,33,formerly smoked,1 +37060,Female,81,0,0,Yes,Private,Rural,80.13,23.4,never smoked,1 +35578,Male,78,0,0,No,Self-employed,Urban,90.19,26.9,never smoked,1 +54921,Male,78,1,0,Yes,Self-employed,Rural,134.8,33.6,Unknown,1 +33454,Female,63,0,0,Yes,Govt_job,Rural,106.58,23.9,Unknown,1 +33943,Female,39,0,0,Yes,Private,Urban,83.24,26.3,never smoked,1 +62439,Female,51,0,0,Yes,Govt_job,Rural,103.43,27.3,formerly smoked,1 +31179,Male,63,0,0,Yes,Private,Urban,208.65,30.7,never smoked,1 +66866,Female,48,0,0,Yes,Private,Urban,74.11,20.5,never smoked,1 +2548,Female,81,0,0,Yes,Self-employed,Urban,95.84,21.5,never smoked,1 +68025,Female,79,0,1,No,Private,Urban,205.33,31,smokes,1 +2390,Male,78,0,0,Yes,Self-employed,Urban,116.1,27.1,never smoked,1 +29552,Female,55,1,1,Yes,Private,Urban,210.4,40,smokes,1 +25904,Female,76,1,1,Yes,Self-employed,Urban,199.86,N/A,smokes,1 +31421,Male,73,0,1,Yes,Govt_job,Rural,219.73,28.6,never smoked,1 +20463,Male,81,1,1,Yes,Private,Urban,250.89,28.1,smokes,1 +68023,Male,79,0,0,Yes,Private,Rural,72.73,28.4,never smoked,1 +12689,Female,63,0,0,Yes,Govt_job,Rural,205.35,42.2,formerly smoked,1 +54724,Female,81,0,0,No,Govt_job,Urban,70.3,25.8,smokes,1 +8899,Male,49,0,0,No,Private,Rural,104.86,31.9,smokes,1 +39186,Female,57,0,1,Yes,Private,Urban,216.58,31,Unknown,1 +32729,Female,81,0,0,Yes,Private,Rural,184.4,27.5,never smoked,1 +39105,Male,74,0,0,Yes,Self-employed,Rural,60.98,N/A,never smoked,1 +31154,Female,39,0,0,Yes,Self-employed,Urban,97.76,29.6,smokes,1 +69959,Female,80,1,0,No,Private,Urban,66.03,35.4,never smoked,1 +10552,Female,81,0,0,Yes,Self-employed,Rural,81.95,16.9,never smoked,1 +12917,Female,79,0,0,Yes,Private,Urban,97.73,21.5,smokes,1 +68356,Female,73,0,0,Yes,Self-employed,Urban,70.94,34.4,never smoked,1 +23368,Female,77,1,0,Yes,Self-employed,Urban,199.84,28,formerly smoked,1 +25974,Male,78,0,0,Yes,Self-employed,Urban,218.46,26.8,Unknown,1 +1210,Female,68,0,0,Yes,Private,Rural,211.06,39.3,Unknown,1 +28493,Male,57,0,0,Yes,Private,Urban,86.3,31.7,Unknown,1 +36857,Male,77,0,0,Yes,Self-employed,Rural,162.14,32.6,formerly smoked,1 +1836,Female,51,1,0,Yes,Private,Urban,88.2,28.4,never smoked,1 +32221,Male,60,0,1,Yes,Private,Urban,91.92,35.9,smokes,1 +10548,Male,66,0,0,Yes,Private,Rural,76.46,21.2,formerly smoked,1 +52282,Male,57,0,0,Yes,Private,Rural,197.28,34.5,formerly smoked,1 +45535,Male,68,0,0,Yes,Private,Rural,233.94,42.4,never smoked,1 +40460,Female,68,1,1,Yes,Private,Urban,247.51,40.5,formerly smoked,1 +17739,Male,57,0,0,Yes,Private,Rural,84.96,36.7,Unknown,1 +49669,Female,14,0,0,No,children,Rural,57.93,30.9,Unknown,1 +27153,Female,75,0,0,Yes,Self-employed,Rural,78.8,29.3,formerly smoked,1 +34060,Male,71,1,0,Yes,Self-employed,Rural,87.8,N/A,Unknown,1 +43424,Female,78,0,0,Yes,Private,Rural,78.81,19.6,Unknown,1 +30669,Male,3,0,0,No,children,Rural,95.12,18,Unknown,0 +30468,Male,58,1,0,Yes,Private,Urban,87.96,39.2,never smoked,0 +16523,Female,8,0,0,No,Private,Urban,110.89,17.6,Unknown,0 +56543,Female,70,0,0,Yes,Private,Rural,69.04,35.9,formerly smoked,0 +46136,Male,14,0,0,No,Never_worked,Rural,161.28,19.1,Unknown,0 +32257,Female,47,0,0,Yes,Private,Urban,210.95,50.1,Unknown,0 +52800,Female,52,0,0,Yes,Private,Urban,77.59,17.7,formerly smoked,0 +41413,Female,75,0,1,Yes,Self-employed,Rural,243.53,27,never smoked,0 +15266,Female,32,0,0,Yes,Private,Rural,77.67,32.3,smokes,0 +28674,Female,74,1,0,Yes,Self-employed,Urban,205.84,54.6,never smoked,0 +10460,Female,79,0,0,Yes,Govt_job,Urban,77.08,35,Unknown,0 +64908,Male,79,0,1,Yes,Private,Urban,57.08,22,formerly smoked,0 +63884,Female,37,0,0,Yes,Private,Rural,162.96,39.4,never smoked,0 +37893,Female,37,0,0,Yes,Private,Rural,73.5,26.1,formerly smoked,0 +67855,Female,40,0,0,Yes,Private,Rural,95.04,42.4,never smoked,0 +25774,Male,35,0,0,No,Private,Rural,85.37,33,never smoked,0 +19584,Female,20,0,0,No,Private,Urban,84.62,19.7,smokes,0 +24447,Female,42,0,0,Yes,Private,Rural,82.67,22.5,never smoked,0 +49589,Female,44,0,0,Yes,Govt_job,Urban,57.33,24.6,smokes,0 +17986,Female,79,0,1,Yes,Self-employed,Urban,67.84,25.2,smokes,0 +29217,Female,65,1,0,Yes,Private,Rural,75.7,41.8,Unknown,0 +72911,Female,57,1,0,Yes,Private,Rural,129.54,60.9,smokes,0 +47175,Female,49,0,0,Yes,Private,Rural,60.22,31.5,smokes,0 +4057,Male,71,0,0,Yes,Private,Urban,198.21,27.3,formerly smoked,0 +48588,Female,59,0,0,Yes,Private,Urban,109.82,23.7,never smoked,0 +70336,Female,25,0,0,Yes,Private,Urban,60.84,24.5,never smoked,0 +66767,Female,67,0,0,Yes,Govt_job,Rural,94.61,28.4,smokes,0 +45801,Female,38,0,0,No,Private,Rural,97.49,26.9,never smoked,0 +36275,Female,54,0,0,Yes,Private,Rural,206.72,26.7,never smoked,0 +11577,Female,70,0,0,Yes,Self-employed,Rural,214.45,31.2,never smoked,0 +67210,Male,27,0,0,Yes,Self-employed,Urban,82.9,25,Unknown,0 +29908,Female,47,0,0,Yes,Private,Urban,103.26,25.4,Unknown,0 +45222,Male,58,1,0,No,Private,Urban,55.78,27.5,smokes,0 +33759,Female,3,0,0,No,children,Urban,73.74,16,Unknown,0 +40311,Female,58,0,0,Yes,Private,Urban,149.75,27,Unknown,0 +26325,Male,14,0,0,No,Govt_job,Urban,82.34,31.6,Unknown,0 +65460,Female,32,0,0,Yes,Private,Rural,62.6,25.1,formerly smoked,0 +36811,Female,23,0,0,No,Private,Urban,94.09,30.9,never smoked,0 +71750,Female,55,0,0,Yes,Private,Urban,55.42,24.8,Unknown,0 +70970,Female,17,0,0,No,Self-employed,Urban,82.18,23.4,Unknown,0 +42203,Male,59,0,0,Yes,Private,Urban,117.92,29.4,smokes,0 +55680,Male,13,0,0,No,children,Urban,114.84,18.3,Unknown,0 +11014,Male,4,0,0,No,children,Rural,79.17,20,Unknown,0 +44338,Female,16,0,0,No,children,Rural,110.63,19.5,Unknown,0 +20980,Male,67,0,0,Yes,Private,Urban,190.7,36,formerly smoked,0 +34974,Female,22,0,0,No,Private,Rural,79.81,27.7,Unknown,0 +71379,Female,45,0,0,Yes,Govt_job,Urban,113.63,27.5,smokes,0 +58261,Female,66,0,0,Yes,Private,Rural,141.24,28.5,never smoked,0 +67318,Male,58,1,0,Yes,Govt_job,Rural,56.96,26.8,smokes,0 +28526,Male,69,0,0,Yes,Self-employed,Rural,203.04,33.6,never smoked,0 +8831,Female,58,0,0,Yes,Private,Rural,94.3,29.1,Unknown,0 +65199,Female,53,0,0,Yes,Self-employed,Urban,81.51,28.5,Unknown,0 +43454,Female,78,0,0,No,Self-employed,Urban,137.74,34.9,formerly smoked,0 +7282,Male,44,0,0,Yes,Private,Rural,81.84,25.1,never smoked,0 +18518,Male,66,0,0,Yes,Private,Rural,242.3,35.3,smokes,0 +41648,Male,27,0,0,Yes,Private,Rural,102.64,26.4,smokes,0 +49003,Male,43,0,0,Yes,Private,Urban,146.01,31.5,smokes,0 +16371,Female,13,0,0,No,children,Urban,75.42,40.1,Unknown,0 +42807,Male,51,0,0,Yes,Govt_job,Urban,220.49,43.1,Unknown,0 +40181,Female,30,0,0,Yes,Private,Urban,61.45,36.7,smokes,0 +66174,Male,46,0,0,Yes,Self-employed,Rural,88.19,29.3,formerly smoked,0 +45538,Female,43,0,0,Yes,Self-employed,Rural,115.22,21.2,Unknown,0 +6319,Female,79,0,0,Yes,Private,Urban,97.93,31.2,Unknown,0 +68249,Female,27,0,0,Yes,Private,Rural,85.6,21.4,Unknown,0 +55232,Female,38,0,0,Yes,Private,Rural,79.83,27.9,smokes,0 +11120,Female,78,1,0,Yes,Private,Urban,218.46,34.3,never smoked,0 +41940,Male,57,0,1,Yes,Private,Rural,62.2,31,formerly smoked,0 +72214,Male,61,0,0,Yes,Self-employed,Urban,69.15,27.7,formerly smoked,0 +37089,Female,37,1,0,Yes,Self-employed,Rural,127.71,36,never smoked,0 +68614,Female,48,0,0,Yes,Private,Rural,216.7,38.7,formerly smoked,0 +1686,Female,29,0,0,No,Private,Urban,71.89,27.6,never smoked,0 +22284,Male,22,0,0,No,Private,Rural,103.56,25.1,Unknown,0 +39038,Male,11,0,0,No,children,Rural,79.03,16.5,Unknown,0 +21956,Female,22,0,0,No,Private,Urban,69.94,22.8,Unknown,0 +52134,Male,53,0,0,Yes,Private,Rural,90.12,35.4,Unknown,0 +30171,Male,27,0,0,No,Govt_job,Urban,95.1,24.3,formerly smoked,0 +4480,Male,76,0,0,Yes,Private,Rural,234.58,34.3,formerly smoked,0 +2982,Female,57,1,0,Yes,Private,Rural,235.85,40.1,never smoked,0 +65535,Male,8,0,0,No,children,Rural,78.05,25.7,Unknown,0 +29865,Female,21,0,0,No,Private,Rural,89.44,21.9,smokes,0 +54918,Female,18,0,0,No,Private,Rural,111.38,38.4,smokes,0 +59368,Female,78,0,0,Yes,Private,Urban,243.5,26.1,never smoked,0 +65836,Female,78,1,0,Yes,Private,Urban,182.2,30.5,formerly smoked,0 +21130,Male,33,0,0,Yes,Self-employed,Urban,229.92,25.9,smokes,0 +1703,Female,52,0,0,Yes,Private,Urban,82.24,54.7,formerly smoked,0 +16934,Female,51,0,0,Yes,Self-employed,Rural,89.84,29.9,Unknown,0 +28799,Male,11,0,0,No,children,Rural,90.69,18.6,Unknown,0 +32689,Female,48,0,0,Yes,Private,Urban,84.38,27.1,Unknown,0 +56357,Female,82,0,1,No,Private,Urban,215.6,24.9,never smoked,0 +18051,Female,54,0,0,Yes,Govt_job,Rural,91.61,25.2,never smoked,0 +40840,Female,49,0,0,Yes,Private,Rural,138.16,19.4,never smoked,0 +10449,Female,24,0,0,Yes,Private,Urban,75.23,29,never smoked,0 +38805,Female,37,0,0,Yes,Private,Rural,75.18,48.2,formerly smoked,0 +31091,Male,34,0,1,Yes,Private,Urban,106.23,N/A,formerly smoked,0 +45053,Male,64,0,0,Yes,Govt_job,Urban,239.64,34.6,formerly smoked,0 +61837,Female,66,0,0,Yes,Self-employed,Urban,58.95,24.6,never smoked,0 +9487,Female,23,0,0,No,Private,Urban,99.92,25.8,never smoked,0 +49713,Male,68,0,0,Yes,Private,Rural,116.23,26.1,never smoked,0 +17608,Female,55,0,0,Yes,Govt_job,Urban,118.82,29,formerly smoked,0 +28102,Female,25,0,0,No,Private,Rural,66.3,27.2,never smoked,0 +1506,Female,48,0,0,No,Govt_job,Urban,101.41,20.7,smokes,0 +28333,Female,79,1,1,Yes,Self-employed,Urban,200.28,30,formerly smoked,0 +62608,Female,47,0,0,Yes,Private,Urban,136.8,37.3,never smoked,0 +40670,Female,20,0,0,No,Private,Rural,96.57,34.1,never smoked,0 +4630,Female,60,0,0,Yes,Private,Rural,66.42,23.6,never smoked,0 +21284,Female,32,0,0,Yes,Private,Urban,98.09,25.2,smokes,0 +49421,Female,66,1,0,Yes,Private,Rural,205.23,39.5,never smoked,0 +5973,Male,43,0,0,Yes,Private,Urban,86.78,23.5,smokes,0 +42996,Female,36,0,0,No,Govt_job,Rural,126.82,23.3,never smoked,0 +66333,Male,52,0,0,Yes,Self-employed,Urban,78.4,64.8,never smoked,0 +46785,Female,29,0,0,Yes,Private,Urban,63.69,28.1,smokes,0 +54312,Female,76,1,0,Yes,Self-employed,Urban,209.58,N/A,never smoked,0 +21408,Female,39,0,0,Yes,Self-employed,Rural,89.86,24.4,never smoked,0 +49916,Male,76,0,0,Yes,Private,Rural,110.99,29.8,formerly smoked,0 +7559,Female,0.64,0,0,No,children,Urban,83.82,24.9,Unknown,0 +71038,Male,34,0,0,Yes,Private,Urban,137.96,35.1,Unknown,0 +69037,Female,72,0,0,Yes,Private,Rural,210.78,32.3,formerly smoked,0 +58617,Female,43,0,0,Yes,Self-employed,Rural,118.89,43.6,never smoked,0 +69064,Female,57,0,0,No,Self-employed,Rural,72.55,21,never smoked,0 +9404,Female,44,0,0,Yes,Private,Rural,107.41,47.3,never smoked,0 +8171,Female,4,0,0,No,children,Rural,93.25,16.6,Unknown,0 +28286,Male,44,0,0,Yes,Private,Rural,74.91,37.5,never smoked,0 +43232,Female,18,0,0,No,Private,Urban,80.05,24.2,never smoked,0 +10159,Male,41,0,0,Yes,Private,Urban,99.8,31.6,never smoked,0 +34402,Female,23,0,0,Yes,Private,Rural,91.97,21.6,formerly smoked,0 +58282,Female,53,0,0,Yes,Govt_job,Rural,64.4,31,smokes,0 +64489,Male,56,0,0,Yes,Govt_job,Rural,73.02,31.1,never smoked,0 +22706,Female,0.88,0,0,No,children,Rural,88.11,15.5,Unknown,0 +71539,Male,25,0,0,No,Private,Urban,138.29,27.3,Unknown,0 +28637,Female,14,0,0,No,children,Rural,72.36,20.5,Unknown,0 +64553,Female,53,0,0,Yes,Private,Rural,68.76,35.6,formerly smoked,0 +31741,Male,4,0,0,No,children,Rural,106.22,16.7,Unknown,0 +69936,Female,39,0,0,Yes,Private,Urban,101.52,41.8,never smoked,0 +46527,Male,53,1,1,Yes,Govt_job,Rural,109.51,41.9,never smoked,0 +22537,Male,5,0,0,No,children,Rural,85.84,16.4,Unknown,0 +50611,Male,4,0,0,No,children,Rural,110.15,17.1,Unknown,0 +13547,Female,37,0,0,Yes,Private,Urban,91.72,29.2,never smoked,0 +63732,Male,70,1,0,Yes,Self-employed,Urban,251.6,27.1,never smoked,0 +9608,Male,24,0,0,No,Private,Urban,123.1,37.9,never smoked,0 +10504,Male,55,0,0,Yes,Govt_job,Rural,97.4,44.6,formerly smoked,0 +37090,Female,70,0,0,Yes,Private,Rural,68.34,22.8,formerly smoked,0 +60148,Male,34,0,0,Yes,Private,Urban,80.81,33.2,never smoked,0 +9637,Male,26,0,0,Yes,Private,Rural,120.31,22.3,smokes,0 +44862,Female,39,0,0,Yes,Private,Rural,83.51,26.4,never smoked,0 +52173,Male,38,0,0,No,Self-employed,Urban,74.09,39.6,never smoked,0 +5708,Female,20,0,0,No,Private,Urban,91.6,28.1,never smoked,0 +23462,Female,17,0,0,No,Private,Urban,87.52,39.2,never smoked,0 +2374,Male,60,1,0,Yes,Private,Rural,213.37,36,never smoked,0 +11091,Female,75,0,0,Yes,Self-employed,Rural,75.39,37.8,never smoked,0 +70374,Female,31,0,0,Yes,Private,Rural,122.41,40.3,smokes,0 +15528,Male,58,1,0,Yes,Private,Rural,223.36,41.5,formerly smoked,0 +65357,Female,5,0,0,No,children,Rural,84.59,17.7,Unknown,0 +49465,Female,13,0,0,No,children,Urban,70.16,21.2,never smoked,0 +31143,Female,22,0,0,No,Private,Rural,107.52,41.6,Unknown,0 +66972,Female,52,0,0,Yes,Govt_job,Urban,80.88,23.8,smokes,0 +55810,Female,61,0,0,Yes,Self-employed,Rural,93.48,23.7,Unknown,0 +37031,Female,78,0,1,Yes,Govt_job,Urban,70.21,24.8,never smoked,0 +34608,Male,57,0,0,Yes,Private,Rural,86.67,39,Unknown,0 +36007,Female,21,0,0,Yes,Private,Rural,101.37,37.9,never smoked,0 +14123,Female,22,0,0,Yes,Private,Rural,105.22,31.1,never smoked,0 +48298,Female,80,0,0,Yes,Private,Rural,70.31,23.2,Unknown,0 +54975,Male,7,0,0,No,Self-employed,Rural,64.06,18.9,Unknown,0 +27213,Male,64,1,0,Yes,Self-employed,Rural,178.29,36.1,never smoked,0 +44749,Female,64,0,0,No,Govt_job,Rural,81.6,36.3,smokes,0 +46468,Female,38,0,0,Yes,Self-employed,Urban,147.48,40.5,Unknown,0 +10913,Male,12,0,0,No,children,Urban,86.86,25.4,never smoked,0 +51983,Female,33,0,0,Yes,Private,Rural,71.16,46.5,smokes,0 +27029,Female,3,0,0,No,children,Urban,73.2,16.8,Unknown,0 +22320,Female,37,0,0,Yes,Private,Urban,203.81,46.6,never smoked,0 +45719,Female,22,0,0,No,Private,Rural,82,26.4,never smoked,0 +129,Female,24,0,0,No,Private,Urban,97.55,26.2,never smoked,0 +20351,Male,75,0,0,Yes,Govt_job,Urban,94.29,35.2,Unknown,0 +530,Female,12,0,0,No,children,Rural,75.22,20.9,Unknown,0 +55351,Male,63,0,0,Yes,Private,Urban,90.07,36.8,Unknown,0 +67431,Female,52,0,0,Yes,Private,Urban,73.73,34.4,formerly smoked,0 +20546,Female,68,0,0,Yes,Private,Urban,79.58,22.2,never smoked,0 +6107,Female,5,0,0,No,children,Urban,77.88,13.8,Unknown,0 +50305,Female,56,1,0,Yes,Private,Rural,205.26,40.3,never smoked,0 +52342,Female,43,0,0,Yes,Private,Rural,58.63,28.4,smokes,0 +59906,Female,40,0,0,Yes,Private,Rural,139.9,31.7,smokes,0 +59729,Male,53,0,0,Yes,Private,Urban,211.03,34.2,formerly smoked,0 +53144,Female,52,0,1,Yes,Private,Urban,72.79,54.7,never smoked,0 +3655,Male,31,0,0,Yes,Govt_job,Rural,91.65,24.6,formerly smoked,0 +11999,Female,63,0,0,Yes,Govt_job,Rural,79.92,N/A,smokes,0 +12985,Female,69,0,0,Yes,Self-employed,Rural,225.47,36.9,never smoked,0 +38119,Male,64,0,0,Yes,Govt_job,Urban,94.48,31.1,never smoked,0 +3355,Female,64,0,0,Yes,Private,Urban,82.34,31.9,never smoked,0 +22091,Female,62,0,0,Yes,Self-employed,Urban,180.63,31.8,formerly smoked,0 +5010,Female,2,0,0,No,children,Rural,92.48,18,Unknown,0 +67177,Male,53,0,0,Yes,Private,Rural,116.66,28.5,formerly smoked,0 +58600,Male,65,1,0,Yes,Private,Urban,112.09,29.5,never smoked,0 +56681,Female,22,0,0,No,Private,Urban,130.34,22,never smoked,0 +56716,Female,26,0,0,No,Private,Urban,82.59,29.4,never smoked,0 +65946,Male,53,0,0,Yes,Private,Rural,123.87,28.8,Unknown,0 +61350,Male,20,0,0,No,Govt_job,Rural,98.7,26.2,Unknown,0 +17291,Female,63,1,0,Yes,Self-employed,Rural,227.1,26.9,Unknown,0 +61465,Male,13,0,0,No,children,Rural,55.39,23.2,Unknown,0 +18108,Male,21,0,0,No,Govt_job,Urban,66.07,27.9,Unknown,0 +48368,Female,65,0,0,Yes,Self-employed,Rural,104.21,36.8,never smoked,0 +36471,Male,65,0,0,Yes,Private,Urban,145.15,28.9,Unknown,0 +15689,Male,42,0,0,Yes,Govt_job,Urban,68.19,31,never smoked,0 +8233,Male,72,0,1,Yes,Self-employed,Rural,97.53,29.4,smokes,0 +46436,Male,13,0,0,No,children,Urban,122.31,15.3,never smoked,0 +23221,Male,29,0,0,No,Private,Urban,83.51,37.1,never smoked,0 +31830,Male,59,0,0,Yes,Self-employed,Urban,86.46,30.5,Unknown,0 +15296,Female,42,0,0,Yes,Private,Rural,112.06,38.2,never smoked,0 +7351,Male,13,0,0,No,Private,Urban,92.14,23.2,never smoked,0 +66196,Male,75,0,1,No,Private,Rural,201.76,30.2,formerly smoked,0 +17718,Female,33,1,0,Yes,Private,Urban,74.44,45.2,smokes,0 +31164,Female,43,0,0,Yes,Private,Rural,95.93,21.8,Unknown,0 +48272,Female,11,0,0,No,children,Rural,87.51,24.4,Unknown,0 +2893,Female,7,0,0,No,children,Rural,72.35,17,Unknown,0 +34376,Female,16,0,0,No,children,Rural,113.47,19.5,Unknown,0 +18498,Female,44,0,0,No,Private,Rural,103.78,49.8,formerly smoked,0 +56735,Female,78,0,0,Yes,Self-employed,Rural,115.43,27.8,never smoked,0 +8595,Male,25,0,0,Yes,Private,Rural,95.59,25.1,never smoked,0 +621,Male,69,0,0,Yes,Private,Rural,101.52,26.8,smokes,0 +1307,Female,61,1,0,Yes,Private,Rural,170.05,60.2,smokes,0 +35846,Female,43,1,0,No,Self-employed,Rural,217.3,27.5,never smoked,0 +28645,Female,38,1,0,Yes,Private,Urban,196.01,28.1,never smoked,0 +5835,Male,68,0,0,Yes,Private,Urban,92.21,27.3,Unknown,0 +46474,Male,26,0,0,Yes,Private,Rural,100.09,27.4,never smoked,0 +69687,Female,18,0,0,No,Self-employed,Rural,93.88,22.2,never smoked,0 +2953,Female,43,0,0,Yes,Private,Rural,75.05,22.9,smokes,0 +11838,Female,43,0,0,Yes,Govt_job,Rural,70.08,26.6,never smoked,0 +9179,Female,32,0,0,No,Private,Urban,74.2,23,smokes,0 +38165,Female,81,0,0,No,Private,Rural,69.01,32.6,never smoked,0 +63050,Male,25,0,0,No,Private,Rural,96.17,22.1,Unknown,0 +22470,Male,61,0,0,Yes,Govt_job,Urban,184.15,N/A,Unknown,0 +71585,Female,66,0,0,Yes,Govt_job,Urban,87.24,22.5,formerly smoked,0 +15649,Male,54,1,0,Yes,Private,Rural,198.69,N/A,smokes,0 +11974,Male,11,0,0,No,children,Urban,82.58,25.5,Unknown,0 +3009,Female,53,0,0,Yes,Self-employed,Rural,96.88,31.4,Unknown,0 +32361,Female,78,0,1,Yes,Self-employed,Urban,73.32,26,Unknown,0 +41523,Male,9,0,0,No,children,Rural,94.59,20,Unknown,0 +53910,Female,48,0,0,Yes,Self-employed,Rural,132.08,31.6,smokes,0 +67548,Female,31,0,0,Yes,Private,Urban,98.99,31.2,never smoked,0 +50441,Male,20,0,0,No,Private,Rural,104.48,21.7,never smoked,0 +16927,Male,21,0,0,Yes,Private,Rural,98.01,24.2,Unknown,0 +28265,Female,42,0,0,Yes,Self-employed,Rural,79.14,25,formerly smoked,0 +33404,Male,35,0,0,Yes,Private,Urban,89.32,36.7,Unknown,0 +50965,Male,53,0,0,No,Private,Rural,65.24,28.9,Unknown,0 +21077,Male,60,0,0,Yes,Private,Rural,80.98,29.7,formerly smoked,0 +12982,Male,74,0,0,Yes,Self-employed,Urban,186.17,44.3,Unknown,0 +66570,Female,23,0,0,No,Private,Rural,69.24,51,never smoked,0 +29158,Female,55,0,0,Yes,Private,Rural,111.19,39.7,formerly smoked,0 +34299,Female,71,0,0,Yes,Private,Urban,93.28,34.7,never smoked,0 +54375,Male,5,0,0,No,children,Rural,122.19,35,Unknown,0 +37832,Female,14,0,0,No,children,Rural,129.53,21.3,never smoked,0 +21058,Female,15,0,0,No,children,Rural,114.53,29.1,Unknown,0 +7696,Female,66,0,0,No,Private,Urban,93.73,23.9,smokes,0 +34668,Female,56,0,0,Yes,Private,Urban,77.49,36,formerly smoked,0 +68483,Female,60,0,0,Yes,Private,Urban,65.38,41.2,formerly smoked,0 +6072,Female,57,0,0,Yes,Private,Urban,94.18,27.1,never smoked,0 +51112,Male,29,0,0,Yes,Self-employed,Urban,118.7,33.2,Unknown,0 +69673,Female,76,0,0,Yes,Govt_job,Urban,96.29,25.4,smokes,0 +71238,Male,52,1,0,Yes,Private,Rural,74.64,30.7,smokes,0 +63958,Female,42,0,0,Yes,Private,Urban,96.99,34.8,formerly smoked,0 +34511,Female,71,0,0,Yes,Private,Rural,100.61,19.2,Unknown,0 +24892,Male,64,0,0,Yes,Private,Rural,97.08,31.7,Unknown,0 +29496,Female,39,0,0,Yes,Private,Rural,84.79,35.7,never smoked,0 +19939,Female,46,0,0,Yes,Private,Rural,78.75,37.8,formerly smoked,0 +27832,Female,51,0,0,Yes,Private,Rural,82.93,29.7,smokes,0 +27757,Male,31,0,0,Yes,Private,Urban,88.78,35.8,smokes,0 +31279,Male,22,0,0,No,Private,Urban,122.1,23.6,smokes,0 +25099,Male,41,0,0,No,Govt_job,Rural,74.81,39.7,smokes,0 +67733,Female,28,0,0,Yes,Private,Urban,183.45,40.5,smokes,0 +9201,Female,44,0,0,Yes,Self-employed,Urban,114.94,21.4,never smoked,0 +33123,Female,68,0,0,Yes,Self-employed,Rural,104.38,40.8,formerly smoked,0 +21713,Male,49,0,0,Yes,Private,Urban,102.91,24.7,Unknown,0 +22622,Male,10,0,0,No,children,Rural,108.79,21,Unknown,0 +6726,Female,31,0,0,Yes,Private,Urban,73.31,45,never smoked,0 +17242,Male,67,0,0,Yes,Self-employed,Urban,68.52,26.2,never smoked,0 +16380,Male,40,0,0,Yes,Private,Rural,89.77,N/A,smokes,0 +9729,Male,70,0,0,Yes,Private,Urban,102.64,28.3,never smoked,0 +56974,Female,38,0,0,Yes,Govt_job,Urban,70.92,41.6,never smoked,0 +29933,Female,5,0,0,No,children,Rural,86.11,19,Unknown,0 +65574,Female,54,0,0,Yes,Private,Urban,129.16,32.4,never smoked,0 +17019,Female,30,0,0,Yes,Govt_job,Urban,113.85,34,never smoked,0 +41800,Female,23,0,0,Yes,Private,Rural,79.35,39.4,formerly smoked,0 +7621,Female,31,0,0,Yes,Private,Rural,80.79,28.7,Unknown,0 +6855,Male,72,1,0,Yes,Self-employed,Urban,114.01,31.8,formerly smoked,0 +5374,Male,23,0,0,No,Private,Rural,93.74,31.2,never smoked,0 +31564,Female,25,0,0,Yes,Private,Rural,90.65,20.9,Unknown,0 +26028,Male,51,0,0,Yes,Private,Urban,98.41,32.1,never smoked,0 +71808,Female,20,0,0,No,Private,Urban,127.18,31,Unknown,0 +56998,Female,12,0,0,No,children,Urban,138.06,23.1,Unknown,0 +14712,Male,57,0,0,Yes,Private,Urban,89.44,26.7,never smoked,0 +23094,Male,65,0,0,Yes,Self-employed,Urban,105.61,27.9,Unknown,0 +43134,Female,16,0,0,No,Private,Rural,155.43,27.3,never smoked,0 +40622,Female,43,0,0,Yes,Private,Rural,80.83,51.5,Unknown,0 +39383,Female,30,0,0,Yes,Private,Urban,80.19,20.4,never smoked,0 +63606,Male,29,0,0,Yes,Govt_job,Urban,60.34,29.6,formerly smoked,0 +46438,Female,54,0,0,Yes,Self-employed,Urban,79.3,30.6,formerly smoked,0 +65144,Female,57,0,0,Yes,Self-employed,Urban,98.44,33.6,Unknown,0 +545,Male,42,0,0,Yes,Private,Rural,210.48,71.9,never smoked,0 +36331,Male,18,0,0,No,Private,Rural,70.34,24.2,Unknown,0 +42359,Male,9,0,0,No,children,Urban,122.22,17.7,Unknown,0 +20751,Female,26,0,0,Yes,Private,Rural,75.29,22.6,smokes,0 +34641,Male,40,0,0,No,Private,Rural,100.35,28.1,never smoked,0 +15791,Male,77,0,0,Yes,Private,Urban,193.83,26.5,never smoked,0 +68241,Female,15,0,0,No,children,Urban,126.96,28.7,Unknown,0 +67780,Female,76,0,0,Yes,Private,Urban,183.34,39.5,formerly smoked,0 +68275,Male,52,0,0,Yes,Private,Urban,247.69,35.1,Unknown,0 +13129,Female,55,0,0,Yes,Self-employed,Rural,76.2,27.9,never smoked,0 +60902,Male,5,0,0,No,children,Rural,71.43,19.3,Unknown,0 +37629,Female,55,0,0,No,Private,Rural,93.36,28.4,never smoked,0 +58439,Male,36,0,0,No,Private,Urban,61.29,26.7,never smoked,0 +62936,Male,46,0,0,Yes,Private,Urban,103.62,40.9,Unknown,0 +29010,Male,5,0,0,No,children,Rural,100.52,17.2,Unknown,0 +36561,Female,39,0,0,Yes,Govt_job,Rural,191.47,28.3,never smoked,0 +44912,Male,12,0,0,No,children,Urban,67.06,16.1,Unknown,0 +59829,Male,67,0,1,Yes,Private,Urban,144.1,27.6,never smoked,0 +45238,Female,1.8,0,0,No,children,Urban,58.26,16.5,Unknown,0 +47811,Female,72,0,0,Yes,Self-employed,Urban,239.82,35.8,never smoked,0 +61511,Female,0.32,0,0,No,children,Rural,73.71,16.2,Unknown,0 +55424,Female,64,1,0,Yes,Private,Rural,88.53,24.6,never smoked,0 +36942,Male,27,0,0,No,Private,Urban,114.79,32,Unknown,0 +61697,Male,25,0,0,No,Private,Rural,113.8,35.3,formerly smoked,0 +55138,Female,81,0,0,No,Self-employed,Urban,71.91,19.2,Unknown,0 +39399,Female,32,0,0,No,Self-employed,Urban,65.3,40.4,never smoked,0 +17148,Male,57,0,0,Yes,Private,Urban,189.57,30.7,never smoked,0 +721,Female,52,1,0,Yes,Self-employed,Urban,114.25,24.3,formerly smoked,0 +40448,Male,54,0,0,Yes,Private,Urban,81.26,26.4,formerly smoked,0 +58007,Female,36,0,0,Yes,Private,Urban,87.88,34.7,smokes,0 +15095,Male,18,0,0,No,Private,Urban,112.17,31.7,Unknown,0 +11960,Male,45,0,0,Yes,Private,Rural,99.97,35.6,never smoked,0 +56179,Male,29,0,0,No,Private,Urban,207.58,22.8,smokes,0 +24592,Female,51,1,0,Yes,Private,Urban,109.16,28,smokes,0 +67744,Female,23,0,0,No,Private,Urban,74.46,35.6,formerly smoked,0 +8328,Female,54,0,0,Yes,Private,Rural,118.51,40.6,never smoked,0 +32437,Female,54,0,0,Yes,Self-employed,Urban,107.47,29.3,formerly smoked,0 +44315,Male,18,0,0,No,Self-employed,Rural,182.86,21,Unknown,0 +68245,Female,26,0,0,Yes,Private,Rural,59.17,20,Unknown,0 +25483,Male,72,0,0,Yes,Private,Rural,215.64,26.7,formerly smoked,0 +47732,Male,5,0,0,No,children,Rural,163.7,18.4,Unknown,0 +50118,Female,65,0,1,Yes,Private,Rural,196.36,34.5,formerly smoked,0 +55420,Female,42,0,0,No,Private,Rural,139.77,27.7,Unknown,0 +55709,Female,47,0,0,Yes,Self-employed,Urban,141.23,21.1,never smoked,0 +15311,Female,24,0,0,Yes,Private,Urban,89.99,24.4,formerly smoked,0 +53660,Male,57,0,0,Yes,Private,Urban,108.53,19.4,smokes,0 +56553,Male,51,0,0,Yes,Private,Urban,63.61,42.3,Unknown,0 +30480,Male,48,0,0,Yes,Private,Urban,85.54,32.2,smokes,0 +31988,Female,56,0,0,Yes,Private,Urban,100.83,26.8,never smoked,0 +59807,Female,30,0,0,Yes,Private,Urban,59.82,25.4,never smoked,0 +45585,Female,63,1,0,Yes,Private,Urban,105.95,23.5,smokes,0 +39639,Female,46,0,0,Yes,Private,Rural,188.11,50.2,smokes,0 +52063,Female,53,0,0,Yes,Self-employed,Urban,71.15,26.1,formerly smoked,0 +40639,Female,1.08,0,0,No,children,Rural,60.53,17.5,Unknown,0 +31090,Male,15,0,0,No,children,Rural,205.5,24.2,never smoked,0 +64174,Female,59,1,0,Yes,Private,Urban,204.86,30.8,never smoked,0 +8544,Female,24,0,0,No,Self-employed,Rural,115.03,23.4,never smoked,0 +27377,Male,53,0,0,Yes,Private,Rural,79.87,30.9,never smoked,0 +3361,Female,39,0,0,Yes,Govt_job,Rural,97.89,23.6,never smoked,0 +61408,Male,23,0,0,No,Never_worked,Urban,125.26,18.7,never smoked,0 +33552,Male,31,0,0,Yes,Private,Rural,114.32,27.7,smokes,0 +31364,Male,5,0,0,No,children,Urban,92.23,16.7,Unknown,0 +7446,Male,44,0,0,Yes,Private,Urban,83.51,31.2,never smoked,0 +9906,Female,1.8,0,0,No,children,Urban,102.34,17,Unknown,0 +65130,Male,40,0,0,Yes,Private,Rural,144.48,29.8,smokes,0 +27794,Male,7,0,0,No,children,Rural,88.39,19.7,Unknown,0 +48993,Female,56,0,0,Yes,Private,Rural,228.08,29.1,Unknown,0 +30753,Male,42,0,0,Yes,Govt_job,Urban,93.79,27.2,never smoked,0 +46809,Male,48,0,0,Yes,Private,Rural,147.14,22.3,Unknown,0 +22853,Male,82,0,0,No,Self-employed,Rural,106.43,27,smokes,0 +12465,Female,52,0,0,No,Private,Rural,88.04,42.1,never smoked,0 +64849,Female,42,0,0,Yes,Private,Urban,92.2,34.2,Unknown,0 +39659,Female,73,0,0,Yes,Govt_job,Urban,219.53,40.9,never smoked,0 +24183,Female,55,0,0,Yes,Govt_job,Rural,75.56,29.4,smokes,0 +71533,Male,50,0,0,Yes,Private,Urban,158.31,32.8,formerly smoked,0 +35565,Male,43,0,0,Yes,Private,Urban,111.43,21.9,smokes,0 +34558,Male,33,0,0,Yes,Private,Rural,219.97,39.6,never smoked,0 +42553,Female,80,0,0,Yes,Private,Rural,148.91,28.3,never smoked,0 +39601,Female,33,0,0,Yes,Private,Urban,69.4,47.8,never smoked,0 +46891,Female,74,0,0,Yes,Private,Rural,68.34,39.3,Unknown,0 +38987,Male,65,0,1,Yes,Self-employed,Urban,58.37,28,smokes,0 +21886,Female,40,0,0,Yes,Private,Urban,71.2,27.1,never smoked,0 +5353,Male,52,0,1,No,Private,Rural,101.5,31.2,smokes,0 +44300,Female,66,0,0,Yes,Govt_job,Urban,92.04,23.1,never smoked,0 +48144,Female,20,0,0,No,Govt_job,Rural,73,20.8,never smoked,0 +46218,Female,51,0,0,Yes,Self-employed,Urban,111.15,34.1,smokes,0 +39745,Female,60,0,0,Yes,Self-employed,Rural,58.65,30.1,never smoked,0 +13517,Male,59,0,0,Yes,Private,Urban,100.54,35.8,never smoked,0 +36355,Male,58,0,0,Yes,Govt_job,Rural,111.73,34.6,never smoked,0 +22678,Female,42,0,0,Yes,Govt_job,Urban,97.78,29.8,Unknown,0 +2532,Male,28,0,0,No,Private,Rural,85.79,26.7,Unknown,0 +52512,Male,57,0,0,Yes,Private,Rural,98.54,30.2,never smoked,0 +3579,Female,66,0,1,Yes,Private,Urban,94.62,29.7,formerly smoked,0 +3130,Female,56,0,0,Yes,Private,Rural,112.43,54.6,never smoked,0 +5545,Male,48,0,0,Yes,Self-employed,Urban,99.67,23.3,formerly smoked,0 +63693,Male,37,0,0,No,Private,Urban,67.39,35.6,Unknown,0 +34363,Female,27,0,0,Yes,Private,Urban,95.12,27,never smoked,0 +23650,Male,15,0,0,No,children,Rural,85.06,21.6,never smoked,0 +53515,Male,61,0,0,Yes,Private,Rural,214.05,29.4,formerly smoked,0 +33528,Female,80,0,1,Yes,Self-employed,Urban,79.09,22.8,never smoked,0 +23046,Female,43,0,0,Yes,Self-employed,Urban,98.09,17.3,never smoked,0 +11068,Male,53,0,0,Yes,Self-employed,Urban,76.36,29.8,Unknown,0 +62233,Female,70,0,0,No,Self-employed,Urban,98.42,36.4,formerly smoked,0 +7291,Female,58,0,0,No,Private,Urban,82.01,34.7,formerly smoked,0 +36814,Female,49,0,0,Yes,Private,Rural,56.11,28.7,smokes,0 +48265,Male,65,0,0,Yes,Govt_job,Rural,111.85,26.7,never smoked,0 +10139,Female,54,0,0,Yes,Self-employed,Urban,92.39,22.1,never smoked,0 +12662,Male,74,1,0,Yes,Self-employed,Urban,112.54,27.7,formerly smoked,0 +43174,Female,56,0,0,Yes,Private,Urban,63.71,40.5,formerly smoked,0 +72823,Female,79,0,0,Yes,Private,Urban,70.35,23,formerly smoked,0 +30567,Male,71,1,0,Yes,Private,Urban,94.65,25.3,formerly smoked,0 +41927,Female,28,0,0,Yes,Private,Rural,64.64,22.1,never smoked,0 +54866,Female,9,0,0,No,children,Rural,57.27,28,Unknown,0 +20364,Female,4,0,0,No,children,Urban,107.25,12,Unknown,0 +21117,Female,36,0,0,No,Self-employed,Rural,77.12,28.4,never smoked,0 +50491,Male,78,0,0,Yes,Self-employed,Urban,55.32,29.6,smokes,0 +61013,Male,52,0,0,No,Private,Rural,69.37,36.2,Unknown,0 +71010,Female,80,0,0,No,Self-employed,Urban,57.57,22.8,never smoked,0 +23551,Male,28,0,0,Yes,Private,Urban,87.43,55.7,Unknown,0 +10997,Female,38,0,0,Yes,Private,Rural,98.73,24.3,never smoked,0 +12738,Male,56,0,0,Yes,Private,Rural,81.18,26.9,never smoked,0 +57772,Female,75,0,0,Yes,Govt_job,Rural,56.23,25.3,never smoked,0 +16615,Male,76,1,0,Yes,Self-employed,Rural,69.61,35.3,never smoked,0 +62999,Male,10,0,0,No,children,Rural,59.49,18.3,Unknown,0 +68995,Female,48,1,0,No,Private,Rural,118.14,N/A,formerly smoked,0 +66184,Male,40,0,0,Yes,Govt_job,Rural,100.26,26,Unknown,0 +53010,Male,82,0,0,Yes,Self-employed,Rural,56.75,21,never smoked,0 +967,Male,61,0,1,Yes,Private,Urban,88.27,N/A,never smoked,0 +31145,Female,17,0,0,No,Private,Urban,67.81,55.7,never smoked,0 +54338,Female,58,0,0,Yes,Govt_job,Rural,77.46,27.6,never smoked,0 +22870,Male,12,0,0,No,children,Urban,76.26,20.5,never smoked,0 +13223,Female,53,0,0,Yes,Govt_job,Rural,86.39,30.2,never smoked,0 +57523,Female,26,0,0,Yes,Private,Urban,116.38,21.9,formerly smoked,0 +67932,Female,48,0,0,Yes,Private,Rural,75.74,28.8,smokes,0 +10255,Male,25,0,0,Yes,Private,Rural,92.14,36.2,Unknown,0 +68131,Female,27,0,0,No,Private,Rural,149.95,25.9,never smoked,0 +29873,Male,31,1,0,Yes,Govt_job,Urban,92.11,N/A,never smoked,0 +54182,Female,16,0,0,No,Private,Rural,74.98,21.4,never smoked,0 +61300,Male,20,0,0,No,Private,Urban,55.25,20.4,never smoked,0 +15274,Female,2,0,0,No,children,Rural,79.89,31.6,Unknown,0 +53016,Female,1.8,0,0,No,children,Urban,130.61,14.4,Unknown,0 +28848,Male,28,0,0,No,Private,Urban,94.26,23.7,Unknown,0 +27012,Male,32,0,0,No,Private,Urban,94.34,30.2,formerly smoked,0 +7745,Female,35,0,0,Yes,Private,Urban,109.03,19.5,formerly smoked,0 +20541,Female,52,1,0,Yes,Private,Rural,81.03,32.6,never smoked,0 +5892,Female,55,1,0,Yes,Private,Rural,99.82,34.2,never smoked,0 +66883,Female,42,0,0,Yes,Self-employed,Urban,140.08,43,never smoked,0 +43196,Female,52,0,0,Yes,Self-employed,Urban,59.54,42.2,Unknown,0 +12593,Female,18,0,0,No,Private,Urban,80.33,19.7,never smoked,0 +51514,Female,13,0,0,No,children,Urban,131.51,41.7,never smoked,0 +15553,Female,45,0,0,Yes,Private,Rural,89.21,21.6,formerly smoked,0 +45796,Female,29,0,0,Yes,Private,Rural,91.45,24.2,never smoked,0 +31840,Female,12,0,0,No,children,Rural,90.58,19.2,Unknown,0 +58767,Female,37,0,0,Yes,Private,Urban,91.45,25.8,Unknown,0 +14391,Female,30,0,0,Yes,Private,Rural,89.63,23.2,smokes,0 +22321,Female,44,0,0,Yes,Private,Urban,124.06,20.8,never smoked,0 +38184,Female,79,1,0,Yes,Private,Rural,99.47,28.4,never smoked,0 +13997,Male,38,0,0,Yes,Private,Urban,88.97,30.2,never smoked,0 +41673,Female,45,0,0,Yes,Private,Rural,80.93,23.1,never smoked,0 +27796,Female,66,0,0,Yes,Private,Urban,102.07,16.7,smokes,0 +18390,Female,19,0,0,No,Private,Rural,91.69,39.5,Unknown,0 +63409,Female,49,0,0,Yes,Private,Urban,63.71,33.8,smokes,0 +9752,Female,66,0,0,Yes,Govt_job,Rural,200.49,34.6,smokes,0 +72882,Male,47,0,0,Yes,Private,Rural,75.3,25,formerly smoked,0 +49744,Female,59,0,0,Yes,Private,Urban,240.71,43.9,formerly smoked,0 +49086,Female,23,0,0,No,Private,Urban,60.5,27.1,formerly smoked,0 +40866,Female,79,0,0,Yes,Self-employed,Rural,131.85,25.9,Unknown,0 +47523,Female,37,0,0,No,Self-employed,Rural,134.39,22.7,formerly smoked,0 +63561,Male,78,0,0,Yes,Private,Urban,56.18,27.1,never smoked,0 +51422,Female,70,1,0,Yes,Private,Rural,113.64,25.6,formerly smoked,0 +56870,Female,34,0,0,No,Private,Rural,156.57,28.4,Unknown,0 +3590,Female,28,1,0,No,Private,Rural,80.4,57.5,never smoked,0 +60665,Male,29,0,0,No,Private,Urban,59.26,35.8,smokes,0 +40791,Female,13,0,0,No,children,Rural,63.26,19.5,Unknown,0 +54304,Female,22,0,0,Yes,Private,Urban,86.24,31.2,never smoked,0 +22485,Male,56,0,0,Yes,Private,Urban,197.1,43.6,formerly smoked,0 +18430,Female,81,0,0,Yes,Self-employed,Urban,90.9,31.2,formerly smoked,0 +19234,Female,28,0,0,No,Private,Rural,84.59,23.5,Unknown,0 +52454,Male,9,0,0,No,children,Rural,121.8,18.7,Unknown,0 +13365,Male,50,0,0,Yes,Private,Rural,77.65,24.4,smokes,0 +60983,Male,70,0,0,Yes,Private,Urban,64.41,29.4,smokes,0 +14615,Female,30,0,0,No,Private,Urban,75.19,37,smokes,0 +50277,Female,51,0,0,Yes,Self-employed,Rural,67.97,29.4,smokes,0 +50811,Male,24,0,0,No,Private,Urban,119.34,38.5,never smoked,0 +16575,Male,17,0,0,No,Private,Rural,94.92,23.5,never smoked,0 +1246,Female,43,0,0,Yes,Govt_job,Rural,107.42,N/A,never smoked,0 +11176,Male,9,0,0,No,children,Rural,85.02,16.3,Unknown,0 +30712,Male,50,0,0,Yes,Private,Urban,103.51,35.9,never smoked,0 +31308,Female,49,0,0,Yes,Private,Urban,114.5,35.9,formerly smoked,0 +9612,Male,6,0,0,No,children,Urban,70.78,20.3,Unknown,0 +3325,Male,30,0,0,Yes,Self-employed,Rural,95.01,32.3,smokes,0 +52808,Male,73,0,0,Yes,Private,Urban,84.11,27.9,never smoked,0 +41513,Female,20,0,0,Yes,Private,Urban,74.02,22.3,never smoked,0 +36109,Male,42,0,0,Yes,Private,Urban,78.49,31.8,smokes,0 +53336,Female,79,0,0,Yes,Govt_job,Urban,74.22,29.7,Unknown,0 +56831,Female,55,0,0,Yes,Private,Urban,55.34,27.1,smokes,0 +52580,Female,27,0,0,No,Private,Rural,75.04,24.5,never smoked,0 +55592,Male,71,0,0,Yes,Private,Rural,109.73,28.9,never smoked,0 +33723,Female,9,0,0,No,children,Urban,95.81,N/A,Unknown,0 +26235,Male,23,0,0,No,Private,Rural,96.78,24.6,smokes,0 +16685,Female,71,1,0,Yes,Private,Urban,194.62,31.6,never smoked,0 +44583,Female,56,0,1,Yes,Private,Rural,70.02,32.3,never smoked,0 +25315,Male,31,0,0,Yes,Private,Urban,222.21,41.1,smokes,0 +58227,Female,64,0,0,Yes,Govt_job,Rural,62.41,30,never smoked,0 +60810,Male,46,0,0,Yes,Self-employed,Urban,55.83,26.4,never smoked,0 +34612,Male,55,0,0,Yes,Govt_job,Rural,65.12,30,never smoked,0 +8320,Male,2,0,0,No,children,Rural,73.62,20.8,Unknown,0 +25595,Female,58,1,0,Yes,Private,Urban,85.83,44,formerly smoked,0 +30550,Female,78,0,0,No,Private,Urban,103.86,30.6,Unknown,0 +49529,Female,1.16,0,0,No,children,Urban,60.98,17.2,Unknown,0 +13367,Female,35,0,0,Yes,Private,Rural,82.69,29.1,Unknown,0 +33585,Female,64,0,0,Yes,Private,Rural,250.2,27.4,Unknown,0 +49785,Female,18,0,0,No,Private,Rural,128.97,23.5,Unknown,0 +6886,Male,19,0,0,No,Private,Rural,84.31,31.8,never smoked,0 +38609,Male,47,0,0,Yes,Govt_job,Rural,74.8,23.5,never smoked,0 +22159,Female,54,1,0,No,Private,Urban,97.06,28.5,formerly smoked,0 +37413,Female,39,0,0,Yes,Private,Urban,77.54,32.7,Unknown,0 +4169,Female,37,0,0,No,Private,Rural,92.78,54.2,never smoked,0 +40055,Female,17,0,0,No,Private,Rural,173.43,25.6,smokes,0 +18888,Female,20,0,0,Yes,Private,Urban,79.08,41.2,never smoked,0 +45283,Female,31,0,0,Yes,Private,Urban,106.18,27,smokes,0 +42503,Female,56,0,0,Yes,Private,Rural,114.21,21.3,never smoked,0 +23645,Female,31,0,0,No,Private,Rural,91.08,34.3,never smoked,0 +62382,Male,82,0,0,Yes,Private,Urban,105.77,29.5,Unknown,0 +59521,Male,33,0,0,Yes,Private,Rural,74.88,31.6,smokes,0 +55386,Male,42,0,0,Yes,Private,Rural,123.15,26.1,smokes,0 +22685,Male,20,0,0,No,Private,Rural,184.25,27.5,never smoked,0 +46745,Male,22,0,0,Yes,Govt_job,Rural,117.69,26.5,never smoked,0 +72547,Male,61,0,0,Yes,Private,Rural,55.26,33.2,Unknown,0 +26973,Female,31,0,0,Yes,Private,Urban,106.51,40.2,never smoked,0 +41033,Female,31,0,0,Yes,Govt_job,Rural,55.27,32.5,formerly smoked,0 +5046,Male,17,0,0,No,Self-employed,Urban,98.42,23.4,Unknown,0 +71442,Female,30,0,0,Yes,Private,Rural,99.2,32.5,never smoked,0 +49624,Male,69,0,0,Yes,Private,Urban,98.92,23.9,formerly smoked,0 +10572,Female,63,0,0,Yes,Private,Rural,92.7,29.5,never smoked,0 +55847,Male,19,0,0,No,Private,Rural,106.7,24,never smoked,0 +42441,Male,7,0,0,No,children,Urban,152.81,17.7,Unknown,0 +28910,Female,51,0,0,Yes,Private,Urban,82.59,26.2,formerly smoked,0 +10381,Female,38,1,0,Yes,Self-employed,Urban,91,33.3,never smoked,0 +14387,Male,2,0,0,No,children,Urban,93.88,17.4,Unknown,0 +31956,Female,58,0,0,Yes,Private,Urban,76.99,29,never smoked,0 +17813,Female,69,0,1,Yes,Private,Rural,254.6,21.7,Unknown,0 +24665,Female,64,1,0,Yes,Private,Rural,93.99,37.8,formerly smoked,0 +13683,Female,31,0,0,Yes,Private,Urban,109.68,41.8,never smoked,0 +7387,Female,59,1,0,Yes,Private,Rural,92.04,24.2,never smoked,0 +57011,Female,54,0,0,Yes,Private,Rural,111.41,31.1,never smoked,0 +22384,Female,24,0,0,Yes,Private,Rural,97.92,23.1,never smoked,0 +24108,Male,19,0,0,No,Private,Urban,65.61,25.1,Unknown,0 +50053,Male,17,0,0,No,Private,Urban,62.37,41.3,never smoked,0 +69427,Female,29,0,0,No,Private,Urban,101.28,22.7,never smoked,0 +21688,Female,42,0,0,Yes,Private,Rural,88.31,24,smokes,0 +60777,Female,31,0,0,Yes,Govt_job,Rural,103.55,20.5,formerly smoked,0 +64732,Female,29,0,0,No,Private,Urban,60.26,20.4,never smoked,0 +42710,Female,23,0,0,No,Private,Urban,79.39,27.6,never smoked,0 +46683,Female,25,0,0,No,Private,Urban,122.01,27,smokes,0 +58909,Female,14,0,0,No,children,Rural,78.09,26.4,Unknown,0 +51125,Female,66,0,0,Yes,Private,Urban,89.7,34.9,smokes,0 +29077,Female,77,0,0,Yes,Private,Rural,95.1,35,never smoked,0 +4970,Male,79,0,0,Yes,Self-employed,Rural,112.64,28.5,formerly smoked,0 +58291,Female,52,0,0,Yes,Private,Rural,79.8,32.3,formerly smoked,0 +18616,Female,41,0,0,Yes,Private,Urban,82.2,23.9,Unknown,0 +99,Female,31,0,0,No,Private,Urban,108.89,52.3,Unknown,0 +55529,Male,39,0,0,Yes,Private,Rural,114.32,26.4,never smoked,0 +12204,Female,51,0,0,No,Govt_job,Rural,116.14,20.9,never smoked,0 +21397,Female,40,0,0,Yes,Govt_job,Urban,122.74,23.3,Unknown,0 +64633,Female,48,0,0,Yes,Private,Urban,94.04,32.7,never smoked,0 +23016,Male,55,0,0,Yes,Private,Rural,86.6,26.5,never smoked,0 +18412,Male,41,0,0,Yes,Private,Rural,82.32,27.9,Unknown,0 +67412,Female,39,0,0,Yes,Private,Rural,83.83,30.3,never smoked,0 +37545,Male,41,0,0,No,Govt_job,Urban,106.98,27.6,never smoked,0 +10324,Female,5,0,0,No,children,Urban,93.88,14.6,Unknown,0 +14491,Male,38,0,0,Yes,Govt_job,Urban,70.53,40.9,smokes,0 +64582,Male,40,1,0,Yes,Govt_job,Rural,212.01,28.4,never smoked,0 +25514,Male,12,0,0,No,children,Rural,65.88,23.7,Unknown,0 +7663,Male,20,0,0,No,Govt_job,Rural,106.97,27.9,formerly smoked,0 +66220,Male,53,0,0,Yes,Private,Urban,126.35,25.2,never smoked,0 +71793,Female,21,0,0,No,Private,Urban,129.16,34.4,Unknown,0 +25458,Female,70,1,0,Yes,Govt_job,Rural,88.66,36.7,formerly smoked,0 +69645,Male,61,0,0,Yes,Govt_job,Rural,112.95,22.2,formerly smoked,0 +53695,Male,70,0,0,Yes,Govt_job,Urban,81.59,27.2,never smoked,0 +26692,Female,38,0,0,Yes,Govt_job,Rural,76.82,27.3,never smoked,0 +33400,Male,59,0,0,Yes,Govt_job,Rural,73.75,27.3,smokes,0 +67078,Female,36,1,0,Yes,Private,Urban,91.56,42.2,never smoked,0 +32352,Female,31,0,0,Yes,Govt_job,Rural,104.55,26.4,never smoked,0 +22540,Female,65,0,0,Yes,Govt_job,Urban,84.84,39.4,Unknown,0 +26999,Male,61,1,1,Yes,Govt_job,Rural,86.06,34.8,never smoked,0 +65218,Male,2,0,0,No,children,Rural,109.1,20,Unknown,0 +30102,Male,52,0,0,Yes,Private,Rural,68.35,34.1,never smoked,0 +49521,Female,33,0,0,Yes,Private,Urban,121.04,31.4,Unknown,0 +54643,Male,5,0,0,No,children,Rural,160.83,17.8,Unknown,0 +29134,Female,32,0,0,Yes,Private,Rural,85.62,46.1,smokes,0 +68281,Female,54,0,0,Yes,Govt_job,Urban,74.23,28.1,formerly smoked,0 +40350,Female,51,0,0,No,Private,Urban,110.76,24.7,formerly smoked,0 +33410,Female,39,0,0,No,Govt_job,Urban,79.44,22.7,never smoked,0 +39375,Female,40,0,0,Yes,Private,Rural,119.52,34.6,never smoked,0 +2543,Female,19,0,0,Yes,Private,Rural,90.42,21.4,never smoked,0 +45289,Female,9,0,0,No,children,Urban,109.32,27.4,Unknown,0 +12106,Male,53,1,0,Yes,Govt_job,Rural,78.16,36.6,never smoked,0 +10792,Female,23,0,0,No,Private,Rural,79.13,32.9,formerly smoked,0 +19153,Female,19,0,0,No,Self-employed,Urban,84.06,24.7,never smoked,0 +47876,Male,1,0,0,No,children,Rural,89.3,21.4,Unknown,0 +25283,Female,48,0,0,Yes,Private,Urban,69.21,33.1,never smoked,0 +12270,Male,71,0,0,Yes,Govt_job,Rural,186.45,26.7,never smoked,0 +49949,Male,44,0,0,Yes,Private,Urban,58.47,24.4,never smoked,0 +50826,Female,53,0,0,Yes,Govt_job,Rural,189.49,25.8,Unknown,0 +28681,Female,70,1,0,Yes,Self-employed,Urban,99.6,34.3,formerly smoked,0 +41615,Female,1.4,0,0,No,children,Rural,126.18,18.1,Unknown,0 +14147,Male,49,0,0,Yes,Private,Urban,186.32,43.8,smokes,0 +41537,Female,17,0,0,No,Private,Rural,62.49,26.9,never smoked,0 +62332,Female,40,0,0,Yes,Private,Rural,74.51,36.6,never smoked,0 +25488,Female,46,0,0,Yes,Self-employed,Urban,94.63,24.9,never smoked,0 +45759,Female,32,0,0,Yes,Private,Rural,91.98,27.6,smokes,0 +71929,Male,2,0,0,No,children,Rural,56.77,20.9,Unknown,0 +14807,Female,40,0,0,Yes,Private,Urban,75.87,30.3,never smoked,0 +16110,Female,19,0,0,No,Private,Rural,77.19,37.4,smokes,0 +40970,Male,43,0,0,Yes,Private,Urban,135.75,35.9,smokes,0 +28933,Female,46,0,0,Yes,Private,Rural,100.15,50.3,smokes,0 +11709,Male,71,0,0,No,Private,Urban,95.08,31.5,never smoked,0 +37154,Female,31,0,0,Yes,Private,Urban,125.38,24.4,smokes,0 +16809,Male,41,0,0,Yes,Private,Urban,111.71,38.9,formerly smoked,0 +13907,Male,65,0,0,Yes,Self-employed,Rural,94.64,28.6,never smoked,0 +2314,Male,52,0,0,Yes,Private,Urban,226.7,N/A,smokes,0 +70380,Female,20,0,0,No,Private,Urban,112.96,27.5,never smoked,0 +63058,Female,77,0,1,Yes,Private,Rural,183.1,N/A,never smoked,0 +54071,Female,51,0,0,Yes,Private,Urban,105.36,43.7,Unknown,0 +67405,Female,37,0,0,Yes,Private,Urban,84.13,27,never smoked,0 +28024,Male,49,0,0,Yes,Private,Rural,102.47,29.3,formerly smoked,0 +11730,Female,62,1,0,Yes,Govt_job,Rural,77.04,34.7,never smoked,0 +2549,Female,17,0,0,No,Private,Rural,83.23,N/A,never smoked,0 +17245,Female,28,0,0,Yes,Private,Rural,87.01,39.9,never smoked,0 +70852,Male,80,0,0,Yes,Private,Rural,56.99,26.7,never smoked,0 +60957,Male,45,0,0,Yes,Private,Rural,73.01,24.8,formerly smoked,0 +19742,Female,37,0,0,Yes,Private,Urban,106.35,29.7,never smoked,0 +10782,Female,3,0,0,No,children,Rural,80.63,15.9,Unknown,0 +61742,Male,26,0,0,No,Private,Urban,103.61,31.4,never smoked,0 +4808,Female,71,0,0,Yes,Self-employed,Urban,91.35,N/A,formerly smoked,0 +13571,Male,58,0,0,Yes,Govt_job,Urban,194.04,27.8,never smoked,0 +49928,Female,59,0,0,Yes,Govt_job,Rural,111.99,35.5,formerly smoked,0 +52688,Male,74,1,0,Yes,Private,Rural,57.51,31.7,smokes,0 +24099,Male,17,0,0,No,Private,Rural,68.49,33.2,never smoked,0 +65698,Female,62,0,0,Yes,Private,Urban,60.2,27.7,formerly smoked,0 +47885,Male,37,0,0,Yes,Self-employed,Urban,160,31.9,formerly smoked,0 +13948,Female,19,0,0,No,Never_worked,Urban,86.96,25.8,never smoked,0 +17351,Female,59,0,0,Yes,Private,Rural,237.15,27.7,never smoked,0 +820,Female,59,1,0,Yes,Private,Rural,99.06,23.4,never smoked,0 +55721,Male,62,0,1,Yes,Self-employed,Urban,56.31,24.3,formerly smoked,0 +72310,Male,80,1,1,Yes,Self-employed,Urban,84.31,30.3,smokes,0 +24115,Female,54,0,0,Yes,Private,Rural,90.92,29.1,never smoked,0 +65766,Female,27,0,0,No,Private,Rural,104.33,20.1,never smoked,0 +42482,Female,4,0,0,No,children,Urban,62.61,21.2,Unknown,0 +25627,Male,81,1,0,Yes,Self-employed,Urban,231.19,31.6,formerly smoked,0 +7122,Female,41,0,0,No,Private,Rural,94.3,41.6,Unknown,0 +48755,Male,27,0,0,Yes,Private,Rural,104.48,36.4,smokes,0 +33551,Female,51,1,0,Yes,Private,Urban,72.62,30.5,never smoked,0 +62716,Female,59,0,0,Yes,Self-employed,Urban,81.64,32.8,Unknown,0 +68438,Female,51,0,0,Yes,Private,Rural,90.78,32.3,never smoked,0 +41148,Male,71,0,1,Yes,Private,Urban,70.71,30.1,never smoked,0 +14924,Male,48,0,0,Yes,Private,Urban,72.36,34.7,smokes,0 +47950,Female,49,0,0,Yes,Self-employed,Urban,59.76,29.7,Unknown,0 +8008,Female,35,0,0,No,Govt_job,Urban,83.76,N/A,smokes,0 +56089,Female,25,0,0,Yes,Private,Rural,63.64,31.3,formerly smoked,0 +9262,Female,31,0,0,Yes,Private,Rural,76.26,35.6,never smoked,0 +71896,Female,68,0,0,Yes,Private,Rural,82.06,35.2,formerly smoked,0 +38623,Male,39,0,0,No,Private,Urban,110.91,27.6,never smoked,0 +26503,Female,32,0,0,No,Private,Rural,77.16,35.2,smokes,0 +5475,Female,39,0,0,Yes,Private,Rural,69.58,28.1,Unknown,0 +15525,Female,63,0,0,Yes,Private,Urban,96.26,31.8,Unknown,0 +48748,Female,69,0,0,Yes,Private,Rural,87.27,23.3,smokes,0 +11745,Female,29,0,0,Yes,Private,Urban,65.36,28.8,formerly smoked,0 +17733,Female,1.72,0,0,No,children,Rural,109.51,19.5,Unknown,0 +71591,Female,58,0,0,Yes,Private,Urban,89.03,30,smokes,0 +11743,Female,32,0,0,Yes,Private,Urban,91.34,25.5,formerly smoked,0 +67864,Male,63,0,0,Yes,Private,Rural,57.82,28.8,formerly smoked,0 +34857,Male,57,0,0,Yes,Self-employed,Urban,81.15,40.2,formerly smoked,0 +34995,Female,77,0,0,Yes,Private,Rural,115.29,32.9,Unknown,0 +3606,Male,8,0,0,No,children,Urban,111.02,22.4,Unknown,0 +22952,Female,21,0,0,No,Govt_job,Urban,111.61,36.9,smokes,0 +32554,Female,16,0,0,No,children,Rural,109.02,19.8,Unknown,0 +45893,Female,8,0,0,No,children,Urban,106.51,12.3,Unknown,0 +72020,Male,71,0,1,Yes,Self-employed,Rural,207.32,32.4,smokes,0 +57879,Female,74,0,0,Yes,Private,Urban,87.11,24.8,never smoked,0 +53538,Female,7,0,0,No,children,Urban,61.68,16.4,Unknown,0 +17006,Male,19,0,0,No,Private,Rural,119.04,35.9,Unknown,0 +36638,Male,64,0,0,Yes,Private,Urban,86.05,23,Unknown,0 +41097,Female,23,1,0,No,Private,Urban,70.03,78,smokes,0 +36618,Male,75,0,1,Yes,Self-employed,Urban,207.64,30.5,formerly smoked,0 +37290,Male,80,0,0,Yes,Self-employed,Rural,236.84,26.8,never smoked,0 +54620,Male,40,0,0,Yes,Private,Urban,78.11,35.3,never smoked,0 +42108,Female,24,0,0,No,Govt_job,Rural,100.97,27.9,never smoked,0 +19681,Female,74,0,0,Yes,Self-employed,Urban,99.21,22.1,never smoked,0 +6988,Female,52,0,0,Yes,Self-employed,Urban,113.21,38.3,never smoked,0 +25287,Male,54,0,0,Yes,Private,Urban,92.95,41,never smoked,0 +224,Female,23,0,0,No,Private,Urban,110.16,N/A,never smoked,0 +56679,Male,19,0,0,No,Private,Rural,142.57,22.8,Unknown,0 +27146,Female,23,0,0,No,Private,Rural,92.87,30.1,never smoked,0 +16556,Male,13,0,0,No,Never_worked,Rural,111.48,20.8,Unknown,0 +5934,Female,51,0,0,Yes,Private,Urban,123,31.7,never smoked,0 +58999,Male,60,0,0,Yes,Govt_job,Urban,100.54,30.1,never smoked,0 +28261,Male,79,0,1,Yes,Self-employed,Urban,106.68,30.8,never smoked,0 +35222,Female,75,0,0,Yes,Private,Urban,86.4,42.6,never smoked,0 +44105,Female,69,1,0,Yes,Self-employed,Urban,61.81,37.1,Unknown,0 +65256,Female,57,0,0,Yes,Self-employed,Rural,128.28,34.2,never smoked,0 +62709,Female,47,0,0,Yes,Private,Rural,204.63,43.4,never smoked,0 +36698,Female,33,0,0,Yes,Private,Urban,89.98,18.7,smokes,0 +7273,Female,51,0,0,Yes,Self-employed,Urban,232.89,34,smokes,0 +20044,Female,47,0,0,Yes,Private,Rural,98.58,23.2,never smoked,0 +54769,Male,15,0,0,No,Private,Urban,57.94,41.7,Unknown,0 +57372,Male,1,0,0,No,children,Rural,123.21,15.1,Unknown,0 +30605,Female,20,0,0,No,Private,Urban,76.34,20.6,smokes,0 +13622,Male,6,0,0,No,children,Rural,92.98,18.9,Unknown,0 +12686,Male,50,0,0,No,Govt_job,Rural,92.81,26.6,never smoked,0 +39250,Male,31,0,0,Yes,Private,Urban,85.16,30.1,smokes,0 +2879,Female,15,0,0,No,Self-employed,Urban,90.1,32.1,never smoked,0 +59684,Female,3,0,0,No,children,Urban,65.15,15.1,Unknown,0 +48830,Male,30,0,0,Yes,Private,Urban,104.62,33.5,smokes,0 +56986,Male,17,0,0,No,Never_worked,Urban,113.25,23.4,never smoked,0 +47924,Male,24,0,0,No,Private,Urban,59.28,43.2,never smoked,0 +16402,Female,5,0,0,No,children,Urban,93.07,19.1,Unknown,0 +40889,Male,33,0,0,No,Private,Rural,77.42,26.1,Unknown,0 +4083,Female,30,0,0,No,Private,Rural,73.69,17.3,never smoked,0 +59336,Male,66,1,0,Yes,Private,Rural,74.9,32.1,never smoked,0 +5684,Male,40,0,0,No,Private,Urban,88.27,N/A,formerly smoked,0 +48843,Female,27,0,0,No,Private,Urban,58.39,30.4,never smoked,0 +5694,Male,21,0,0,No,Private,Rural,102.05,29.9,never smoked,0 +3673,Female,55,0,0,Yes,Private,Rural,112.47,32.8,smokes,0 +44481,Female,19,0,0,No,Private,Rural,72.84,22.7,never smoked,0 +10538,Male,75,1,1,Yes,Self-employed,Urban,195.03,28.7,formerly smoked,0 +9648,Female,71,0,1,Yes,Private,Urban,170.95,35.2,never smoked,0 +19101,Female,16,0,0,No,Private,Urban,87.98,22.4,never smoked,0 +31867,Female,49,0,0,No,Private,Rural,65.81,32.3,Unknown,0 +11973,Female,10,0,0,No,children,Urban,124.6,18.6,Unknown,0 +23633,Female,37,0,0,Yes,Private,Rural,83.65,42.1,smokes,0 +52549,Male,59,0,0,Yes,Govt_job,Rural,88.81,38,formerly smoked,0 +59178,Female,7,0,0,No,children,Urban,86.75,22.3,Unknown,0 +37349,Female,61,0,0,Yes,Private,Rural,123.36,33.4,never smoked,0 +44281,Male,34,0,0,No,Private,Rural,89.68,23.2,smokes,0 +55599,Female,9,0,0,No,children,Rural,69.87,18,Unknown,0 +45224,Female,46,0,0,Yes,Private,Rural,109.22,20.1,never smoked,0 +54747,Male,0.88,0,0,No,children,Rural,157.57,19.2,Unknown,0 +2751,Male,50,0,0,Yes,Govt_job,Urban,110.73,28.7,smokes,0 +6090,Male,19,0,0,Yes,Private,Urban,99.14,28.1,never smoked,0 +46385,Female,21,0,0,Yes,Private,Urban,59.15,22.6,never smoked,0 +46323,Female,2,0,0,No,children,Rural,165.11,18,Unknown,0 +28122,Female,37,0,0,Yes,Self-employed,Rural,77.44,21.4,formerly smoked,0 +50843,Male,20,0,0,No,Private,Rural,100.33,27.8,Unknown,0 +64464,Male,50,0,0,Yes,Private,Urban,57.93,27.6,Unknown,0 +66922,Male,61,1,1,No,Private,Rural,148.24,32.2,formerly smoked,0 +66494,Male,48,0,0,Yes,Private,Urban,91.96,24.9,Unknown,0 +42786,Male,82,0,1,Yes,Self-employed,Rural,72.93,27.1,formerly smoked,0 +33401,Male,64,0,0,Yes,Private,Rural,84.27,24.6,Unknown,0 +24174,Female,50,0,0,Yes,Govt_job,Rural,124.45,24.6,never smoked,0 +60211,Male,1.4,0,0,No,children,Urban,90.51,18.9,Unknown,0 +53279,Male,0.24,0,0,No,children,Rural,118.87,16.3,Unknown,0 +61715,Male,55,0,0,Yes,Private,Rural,56.42,31.8,never smoked,0 +37830,Female,29,0,0,No,Private,Urban,73.67,21,Unknown,0 +2454,Male,4,0,0,No,children,Rural,89.11,20.1,Unknown,0 +60663,Male,70,1,0,Yes,Private,Rural,74.04,29.1,never smoked,0 +46875,Male,35,0,0,Yes,Private,Urban,145.23,32.3,never smoked,0 +69091,Female,80,0,1,Yes,Private,Rural,100.8,29.4,never smoked,0 +1821,Female,54,0,0,Yes,Private,Urban,85.22,50.2,never smoked,0 +44978,Male,39,0,0,Yes,Govt_job,Rural,72.49,44.9,formerly smoked,0 +3437,Female,26,0,0,No,Private,Urban,82.61,28.5,smokes,0 +6355,Female,6,0,0,No,children,Rural,72.07,19.5,Unknown,0 +10762,Female,41,0,0,Yes,Private,Rural,79.85,45,Unknown,0 +58567,Female,42,0,0,Yes,Private,Rural,84.86,22.8,Unknown,0 +62187,Male,9,0,0,No,children,Urban,131.89,25.5,Unknown,0 +84,Male,55,0,0,Yes,Private,Urban,89.17,31.5,never smoked,0 +8521,Male,71,0,0,Yes,Private,Rural,227.91,31.6,formerly smoked,0 +72779,Female,14,0,0,No,children,Urban,131.77,31,Unknown,0 +45824,Female,77,1,0,Yes,Self-employed,Urban,102.01,29.5,Unknown,0 +61838,Female,50,0,0,Yes,Govt_job,Urban,128.63,23.1,Unknown,0 +57212,Male,49,0,0,No,Private,Urban,144.1,30.7,smokes,0 +62668,Female,51,0,0,Yes,Self-employed,Urban,143.15,44.7,formerly smoked,0 +33142,Male,79,0,0,Yes,Self-employed,Rural,116.67,33.5,never smoked,0 +17437,Female,63,0,0,Yes,Self-employed,Rural,85.6,25.9,Unknown,0 +38303,Female,66,0,0,Yes,Self-employed,Urban,142.12,28.3,never smoked,0 +12396,Female,20,0,0,No,Private,Urban,100.81,26.8,Unknown,0 +36484,Female,37,0,0,Yes,Govt_job,Urban,69.17,27.8,never smoked,0 +60047,Male,22,0,0,No,Private,Rural,58.38,36,never smoked,0 +16542,Female,60,0,0,Yes,Govt_job,Urban,86.34,22.1,never smoked,0 +18805,Male,39,0,0,Yes,Private,Urban,95.44,38.4,never smoked,0 +17869,Female,53,0,0,Yes,Private,Urban,94.78,30.1,Unknown,0 +6793,Female,55,0,0,Yes,Private,Rural,109.59,26.2,formerly smoked,0 +49265,Female,63,0,0,Yes,Private,Rural,79.26,26.6,smokes,0 +6606,Female,57,0,0,Yes,Private,Urban,78.46,32.6,never smoked,0 +23031,Male,82,0,0,Yes,Self-employed,Rural,85.29,27,never smoked,0 +69330,Male,56,0,0,Yes,Private,Rural,156.18,25.3,smokes,0 +22902,Male,41,1,0,Yes,Private,Urban,69.52,31.9,never smoked,0 +69622,Female,8,0,0,No,children,Urban,65.32,18.4,Unknown,0 +4807,Male,34,0,0,No,Private,Urban,108.47,30.4,smokes,0 +9641,Male,75,0,0,Yes,Private,Urban,105.63,28.2,smokes,0 +10313,Male,57,0,0,Yes,Private,Urban,77.93,35.7,formerly smoked,0 +12097,Female,72,0,0,Yes,Private,Urban,95.2,35,never smoked,0 +58037,Male,21,0,0,No,Private,Rural,78.52,27.2,never smoked,0 +45323,Female,51,0,0,Yes,Private,Urban,114.89,23,never smoked,0 +34281,Female,15,0,0,No,Private,Rural,95.43,25,Unknown,0 +7990,Female,24,0,0,Yes,Private,Rural,84.08,24.5,Unknown,0 +57622,Female,30,0,0,Yes,Govt_job,Rural,110.55,30.9,smokes,0 +39120,Female,82,0,0,No,Self-employed,Urban,82.21,26,never smoked,0 +68344,Female,62,0,0,Yes,Private,Urban,82.38,27.2,formerly smoked,0 +66752,Female,79,0,0,Yes,Govt_job,Urban,93.89,30.4,never smoked,0 +11691,Female,19,0,0,No,Private,Rural,75.08,21.7,Unknown,0 +5077,Male,45,0,0,Yes,Private,Urban,76.72,29.1,Unknown,0 +13319,Female,5,0,0,No,children,Rural,84.93,17.6,Unknown,0 +49279,Male,57,0,1,Yes,Private,Urban,76.5,29.2,formerly smoked,0 +53815,Female,31,0,0,No,Private,Urban,65.47,28.1,never smoked,0 +42856,Male,61,0,0,Yes,Private,Urban,99.16,26.6,smokes,0 +51579,Male,27,0,0,No,Self-employed,Rural,63.53,26.9,never smoked,0 +10752,Female,61,0,0,Yes,Private,Rural,78.65,36.2,formerly smoked,0 +42133,Female,53,0,0,Yes,Self-employed,Urban,63.78,25.9,never smoked,0 +4842,Female,76,0,0,No,Self-employed,Urban,77.52,40.9,formerly smoked,0 +58138,Male,57,0,0,Yes,Private,Rural,111.64,31.5,never smoked,0 +58203,Male,9,0,0,No,children,Urban,97.84,23.3,Unknown,0 +65053,Female,34,0,0,Yes,Private,Urban,113.01,37.6,never smoked,0 +24168,Male,51,1,0,Yes,Private,Urban,56.48,39.8,never smoked,0 +5824,Male,61,0,0,Yes,Private,Rural,204.5,35.1,formerly smoked,0 +6965,Female,19,0,0,No,Private,Rural,96.02,21.9,never smoked,0 +8332,Female,50,0,0,Yes,Private,Rural,206.25,53.4,formerly smoked,0 +61973,Female,80,1,1,Yes,Private,Rural,115.52,34.4,Unknown,0 +42821,Female,13,0,0,No,Private,Rural,60.69,24,smokes,0 +18687,Male,55,0,0,Yes,Self-employed,Urban,93.67,29.3,Unknown,0 +72642,Male,67,0,0,Yes,Govt_job,Urban,67.79,26,formerly smoked,0 +54782,Female,30,0,0,No,Self-employed,Rural,56.07,31.3,never smoked,0 +55862,Male,67,1,1,Yes,Private,Rural,254.63,31,never smoked,0 +24437,Female,82,0,0,Yes,Private,Rural,96.63,26.5,Unknown,0 +10367,Male,5,0,0,No,children,Rural,84.3,16,Unknown,0 +42550,Female,81,0,0,Yes,Self-employed,Rural,246.34,21.1,never smoked,0 +14178,Female,48,0,0,Yes,Private,Rural,195.16,42.2,Unknown,0 +65429,Female,66,0,0,Yes,Govt_job,Rural,93.34,27.7,never smoked,0 +66530,Female,38,0,0,Yes,Private,Urban,162.3,23.6,never smoked,0 +43146,Male,8,0,0,No,children,Urban,106.4,18.3,Unknown,0 +3509,Male,47,1,0,Yes,Private,Urban,110.25,44.3,never smoked,0 +57497,Male,27,0,0,No,Private,Rural,69.7,27.3,never smoked,0 +15220,Female,53,1,0,Yes,Private,Urban,87.03,55.2,formerly smoked,0 +4813,Male,27,0,0,No,Private,Urban,112.98,44.7,never smoked,0 +31166,Female,36,0,0,Yes,Govt_job,Rural,82.47,33.1,smokes,0 +9051,Female,50,0,0,Yes,Private,Urban,75.88,30,never smoked,0 +28669,Female,32,0,0,Yes,Private,Urban,84.63,40.1,Unknown,0 +59894,Female,58,0,0,Yes,Govt_job,Rural,109.56,23.1,never smoked,0 +18684,Female,73,0,0,Yes,Self-employed,Rural,89.45,30.3,formerly smoked,0 +35866,Female,62,0,0,Yes,Private,Rural,91.65,30.5,never smoked,0 +51907,Female,50,0,0,Yes,Self-employed,Urban,121.14,22.8,never smoked,0 +7250,Female,51,0,0,No,Private,Rural,87.77,42,Unknown,0 +16147,Female,19,0,0,No,Private,Rural,106.56,29.9,never smoked,0 +18306,Female,30,0,0,No,Private,Rural,93.88,24,formerly smoked,0 +69143,Female,45,0,0,No,Private,Rural,153.76,36.7,Unknown,0 +61769,Male,30,0,0,No,Private,Urban,88.65,22.2,never smoked,0 +26134,Female,28,0,0,Yes,Private,Urban,111.22,25.5,Unknown,0 +67603,Male,70,0,0,Yes,Self-employed,Urban,223.68,34.3,formerly smoked,0 +66772,Female,0.32,0,0,No,children,Rural,55.86,16,Unknown,0 +41861,Female,23,0,0,No,Private,Rural,63.73,25.6,smokes,0 +954,Male,18,0,0,No,Private,Rural,103.94,23.3,never smoked,0 +37888,Male,41,0,0,Yes,Private,Rural,92.49,41.6,Unknown,0 +34326,Male,52,0,0,Yes,Private,Urban,229.2,35.6,formerly smoked,0 +42329,Female,77,0,0,Yes,Private,Rural,75.06,22,Unknown,0 +23565,Male,34,0,0,Yes,Private,Urban,85.57,26.8,Unknown,0 +27323,Female,67,0,0,Yes,Self-employed,Urban,68.61,31.9,never smoked,0 +57854,Male,1.64,0,0,No,children,Urban,56.3,19.7,Unknown,0 +18414,Female,23,0,0,No,Private,Rural,193.22,N/A,smokes,0 +72836,Female,59,0,0,Yes,Private,Urban,65.98,31.1,Unknown,0 +17708,Male,62,0,0,Yes,Govt_job,Rural,204.57,34.4,Unknown,0 +66321,Male,47,0,0,Yes,Govt_job,Urban,64.99,33.2,never smoked,0 +53817,Female,71,1,0,Yes,Self-employed,Rural,66.12,N/A,never smoked,0 +66678,Female,22,0,0,No,Private,Urban,73.4,21.6,never smoked,0 +56734,Male,33,0,0,Yes,Govt_job,Urban,82.83,25.4,Unknown,0 +32240,Female,27,0,0,No,Private,Urban,93.55,41.6,never smoked,0 +28127,Female,44,0,0,Yes,Private,Rural,90.4,33.1,formerly smoked,0 +20347,Female,18,0,0,No,Private,Rural,98.1,21.8,never smoked,0 +40824,Male,47,0,0,Yes,Private,Rural,142.02,30,Unknown,0 +38678,Female,66,0,0,Yes,Self-employed,Rural,251.46,35.2,smokes,0 +29380,Female,42,1,0,Yes,Private,Rural,89.96,35.6,never smoked,0 +809,Male,13,0,0,No,children,Urban,71.73,N/A,Unknown,0 +65453,Female,56,1,0,Yes,Govt_job,Urban,82.44,27.8,smokes,0 +9415,Female,69,0,0,Yes,Self-employed,Urban,80.85,29.3,formerly smoked,0 +30989,Female,65,0,0,Yes,Self-employed,Rural,220.52,37.2,smokes,0 +65258,Male,53,0,0,Yes,Private,Urban,86.73,26.1,Unknown,0 +67052,Female,36,0,0,Yes,Private,Urban,76.93,21.6,never smoked,0 +62756,Female,69,0,0,Yes,Self-employed,Urban,113.1,22.7,never smoked,0 +69224,Male,19,0,0,No,Private,Rural,96.84,30.2,formerly smoked,0 +13323,Male,3,0,0,No,children,Urban,100.91,18,Unknown,0 +59940,Male,15,0,0,No,children,Urban,116.5,27.8,Unknown,0 +49042,Female,59,1,0,No,Private,Rural,57.26,23.5,never smoked,0 +66362,Female,61,0,0,Yes,Private,Urban,129.31,41.2,Unknown,0 +46093,Female,28,0,0,Yes,Private,Rural,56.47,22.7,never smoked,0 +10370,Male,52,0,0,Yes,Govt_job,Urban,86.06,29.2,formerly smoked,0 +156,Female,33,0,0,Yes,Private,Rural,86.97,42.2,never smoked,0 +11105,Male,80,0,0,Yes,Private,Urban,78.78,24,formerly smoked,0 +22363,Female,47,0,0,Yes,Private,Rural,195.04,45.5,never smoked,0 +46072,Male,2,0,0,No,children,Rural,103.25,19.4,Unknown,0 +65667,Female,48,0,0,Yes,Private,Rural,134.59,28.2,smokes,0 +47848,Male,1.56,0,0,No,children,Rural,93.74,20.1,Unknown,0 +71440,Female,26,0,0,Yes,Private,Urban,90.66,27.2,Unknown,0 +35231,Male,62,0,0,Yes,Govt_job,Urban,91.68,26.5,Unknown,0 +59734,Male,1.72,0,0,No,children,Urban,75.79,17.6,Unknown,0 +1893,Female,38,0,0,Yes,Private,Urban,91.68,42.8,formerly smoked,0 +32733,Female,28,0,0,Yes,Private,Rural,106.68,29.3,never smoked,0 +34728,Female,67,0,0,Yes,Private,Rural,82.31,21.3,never smoked,0 +30352,Male,57,0,0,Yes,Private,Rural,90.06,29.8,Unknown,0 +61338,Female,40,0,0,Yes,Private,Rural,65.47,24.1,smokes,0 +59275,Male,10,0,0,No,children,Rural,58.03,35.2,Unknown,0 +45497,Female,55,0,0,No,Private,Rural,83.09,18.8,never smoked,0 +19996,Female,7,0,0,No,children,Urban,88.6,17.4,Unknown,0 +50371,Male,56,0,0,Yes,Private,Urban,63.18,31.5,Unknown,0 +32687,Male,37,0,0,Yes,Private,Rural,78.42,29.9,never smoked,0 +35295,Male,69,0,0,Yes,Private,Urban,65.08,27.3,formerly smoked,0 +15746,Female,45,0,0,Yes,Govt_job,Urban,79.47,28.1,never smoked,0 +31517,Female,28,0,0,Yes,Private,Rural,95.52,28.9,never smoked,0 +43268,Female,52,1,0,No,Private,Urban,73,25.2,smokes,0 +54540,Male,46,0,0,Yes,Private,Rural,138.07,24.3,never smoked,0 +20973,Male,45,0,0,Yes,Govt_job,Rural,86.99,37.9,never smoked,0 +56245,Female,21,0,0,No,Private,Urban,112.07,28.2,never smoked,0 +9225,Male,4,0,0,No,children,Rural,105.76,18.4,Unknown,0 +45955,Female,45,0,0,Yes,Private,Urban,55.67,23.1,smokes,0 +3532,Female,71,0,0,Yes,Private,Urban,90.55,39.4,formerly smoked,0 +41291,Female,46,0,0,Yes,Private,Rural,218.65,29.5,never smoked,0 +53943,Female,3,0,0,No,children,Rural,111.21,18.3,Unknown,0 +52550,Female,79,0,0,Yes,Govt_job,Urban,83.56,28.7,smokes,0 +47414,Female,71,1,0,Yes,Private,Urban,116.76,32.9,formerly smoked,0 +38804,Male,74,0,0,Yes,Private,Rural,83.5,26.7,Unknown,0 +72861,Female,52,0,0,Yes,Private,Urban,69.3,20.1,never smoked,0 +53276,Female,49,0,0,Yes,Private,Urban,67.55,17.6,formerly smoked,0 +30944,Female,32,0,0,Yes,Private,Rural,80.28,43.7,never smoked,0 +33622,Male,62,1,0,Yes,Private,Urban,211.49,41.1,Unknown,0 +26191,Female,78,0,0,No,Private,Urban,67.96,26.8,Unknown,0 +69312,Female,48,0,0,Yes,Self-employed,Urban,99.29,31.2,never smoked,0 +39661,Male,18,0,0,Yes,Private,Rural,140.52,27.4,never smoked,0 +20162,Female,80,0,0,Yes,Private,Rural,75.62,25.1,smokes,0 +48989,Female,34,0,0,No,Govt_job,Rural,120.06,33,never smoked,0 +30411,Female,40,0,0,No,Private,Rural,117.45,30.7,smokes,0 +47735,Female,59,0,0,Yes,Private,Rural,224.71,42.9,never smoked,0 +51162,Female,11,0,0,No,children,Rural,122.75,14.3,Unknown,0 +8598,Female,35,0,0,Yes,Govt_job,Urban,82.39,33.2,never smoked,0 +57347,Female,29,0,0,No,Govt_job,Rural,57.02,43,formerly smoked,0 +4683,Male,23,0,0,No,Private,Urban,115.98,22.3,never smoked,0 +55775,Female,59,0,0,Yes,Private,Rural,226.11,32.8,formerly smoked,0 +32645,Female,44,0,0,Yes,Private,Rural,97.59,30.5,smokes,0 +46643,Female,62,0,0,Yes,Private,Rural,82.57,36,formerly smoked,0 +782,Female,32,0,0,No,Private,Urban,79.34,26.5,formerly smoked,0 +63565,Female,2,0,0,No,children,Rural,125.68,20.1,Unknown,0 +13602,Male,73,1,0,Yes,Self-employed,Rural,102.06,N/A,Unknown,0 +28326,Female,79,0,0,Yes,Private,Urban,65.59,28.1,never smoked,0 +26389,Female,2,0,0,No,children,Urban,120.85,16.2,Unknown,0 +16906,Male,43,0,0,Yes,Govt_job,Urban,101.65,30,never smoked,0 +35140,Male,43,0,0,Yes,Govt_job,Urban,210.94,31.3,never smoked,0 +16837,Male,62,1,0,Yes,Private,Rural,77.92,26.7,never smoked,0 +2750,Male,73,1,1,Yes,Self-employed,Rural,230.68,37.7,Unknown,0 +47585,Female,31,0,0,No,Self-employed,Urban,62.68,35.8,never smoked,0 +37404,Male,42,0,0,Yes,Private,Urban,55.22,27,never smoked,0 +39518,Female,20,0,0,No,Private,Rural,78.94,20.7,never smoked,0 +70678,Female,55,0,1,No,Private,Rural,109.69,22.2,smokes,0 +542,Female,3,0,0,No,children,Urban,79.63,N/A,Unknown,0 +38649,Female,23,0,0,No,Private,Rural,79.33,41.5,never smoked,0 +53266,Female,33,0,0,Yes,Private,Urban,79.91,33.5,never smoked,0 +26031,Female,14,0,0,No,Private,Rural,84.46,21.8,Unknown,0 +1191,Female,79,0,1,Yes,Private,Urban,68.4,22.1,formerly smoked,0 +36820,Male,64,1,0,Yes,Private,Rural,78.43,30.2,smokes,0 +62783,Female,76,0,0,Yes,Private,Urban,198.02,38.7,Unknown,0 +10133,Male,46,0,0,Yes,Private,Urban,85.35,32.1,smokes,0 +19778,Male,80,0,0,No,Self-employed,Rural,204.17,41.3,formerly smoked,0 +38255,Male,21,0,0,No,Private,Urban,82.71,20.1,formerly smoked,0 +41565,Female,33,0,0,No,Private,Urban,121.19,22.1,never smoked,0 +39423,Female,32,0,0,Yes,Private,Rural,106.02,24.9,smokes,0 +68908,Female,0.72,0,0,No,children,Urban,66.36,23,Unknown,0 +22440,Female,49,0,0,Yes,Private,Urban,267.76,29.3,formerly smoked,0 +28418,Female,41,0,0,Yes,Private,Rural,107.18,22.8,never smoked,0 +22566,Male,37,0,0,Yes,Private,Rural,74.58,31.6,Unknown,0 +7055,Female,58,0,0,Yes,Private,Urban,80.92,19.4,Unknown,0 +69177,Female,79,0,0,Yes,Private,Rural,90.77,22.5,never smoked,0 +33162,Female,23,0,0,No,Private,Rural,90.84,31.6,never smoked,0 +44764,Female,78,1,0,Yes,Self-employed,Rural,59.2,29.1,Unknown,0 +32157,Male,51,0,0,Yes,Private,Rural,217.71,N/A,formerly smoked,0 +61983,Female,41,0,0,Yes,Private,Urban,133.76,43.4,smokes,0 +72268,Male,68,0,0,Yes,Self-employed,Urban,61.36,26.5,formerly smoked,0 +39467,Female,30,0,0,No,Private,Rural,118.62,29.7,Unknown,0 +20282,Male,1.88,0,0,No,children,Rural,77.91,21.8,Unknown,0 +51159,Female,32,0,0,No,Govt_job,Urban,68.98,23.4,formerly smoked,0 +7167,Female,20,0,0,No,Private,Rural,112.08,23,never smoked,0 +59147,Male,20,0,0,No,Private,Urban,96.2,21.5,never smoked,0 +18192,Male,10,0,0,No,children,Rural,93.11,14.6,Unknown,0 +14049,Male,8,0,0,No,children,Rural,115.54,28.5,Unknown,0 +35927,Male,65,0,0,Yes,Private,Urban,88.57,29,smokes,0 +28150,Female,65,1,0,Yes,Private,Urban,180.76,26.9,Unknown,0 +8727,Male,46,0,0,Yes,Self-employed,Urban,83.12,29.6,formerly smoked,0 +7516,Male,53,0,0,Yes,Self-employed,Urban,94.89,28.5,never smoked,0 +6419,Female,79,0,0,No,Private,Rural,239.52,25.5,never smoked,0 +20425,Male,43,0,0,Yes,Self-employed,Rural,99.15,30.5,formerly smoked,0 +59878,Female,56,0,0,Yes,Self-employed,Urban,124.16,23,never smoked,0 +69355,Male,3,0,0,No,children,Rural,86.38,22.8,Unknown,0 +5858,Male,32,0,0,No,Private,Rural,93.68,31.4,never smoked,0 +39823,Female,41,0,0,Yes,Govt_job,Rural,229.86,35.2,smokes,0 +37053,Male,53,0,0,Yes,Govt_job,Rural,78.73,23.3,never smoked,0 +2082,Male,35,0,0,Yes,Private,Rural,115.92,N/A,formerly smoked,0 +48073,Male,67,0,0,Yes,Govt_job,Rural,93.71,31.2,formerly smoked,0 +16449,Female,33,0,0,Yes,Govt_job,Rural,76.66,24.8,never smoked,0 +5447,Female,21,0,0,No,Private,Rural,112.38,25.8,Unknown,0 +27145,Female,26,0,0,No,Private,Rural,89.3,48.4,smokes,0 +30328,Female,69,1,0,Yes,Govt_job,Rural,103.44,43.1,formerly smoked,0 +739,Female,73,0,0,Yes,Self-employed,Rural,79.69,N/A,formerly smoked,0 +44224,Male,15,0,0,No,Private,Rural,61.61,27.8,never smoked,0 +533,Female,3,0,0,No,children,Rural,94.12,21.4,Unknown,0 +45554,Female,1.24,0,0,No,children,Urban,62.4,22.1,Unknown,0 +32884,Female,80,1,0,Yes,Private,Urban,210.96,31.8,never smoked,0 +55744,Male,2,0,0,No,children,Urban,76.25,20.1,Unknown,0 +28414,Male,50,0,0,Yes,Private,Urban,103.48,29.1,smokes,0 +25767,Female,30,0,0,No,Private,Urban,96.42,22.6,Unknown,0 +71319,Male,15,0,0,No,Private,Rural,78.59,25.1,Unknown,0 +70031,Female,71,1,0,Yes,Private,Rural,195.25,33.3,never smoked,0 +23604,Male,4,0,0,No,children,Rural,103.76,15.9,Unknown,0 +46576,Male,2,0,0,No,children,Rural,68.52,20.8,Unknown,0 +31293,Male,11,0,0,No,children,Urban,92.17,19.5,Unknown,0 +70610,Female,45,0,0,Yes,Private,Rural,81.02,39,never smoked,0 +6044,Male,22,0,0,No,Govt_job,Rural,94.33,23.1,never smoked,0 +62284,Male,63,0,0,Yes,Self-employed,Rural,78.43,18.8,never smoked,0 +5821,Female,50,0,0,Yes,Private,Rural,217.39,50.6,Unknown,0 +22295,Female,25,0,0,No,Private,Urban,82.77,36.3,Unknown,0 +27583,Male,49,0,0,Yes,Private,Rural,88.13,32.8,never smoked,0 +9696,Male,39,0,0,Yes,Private,Urban,102.77,35.8,smokes,0 +1164,Female,43,0,0,No,Private,Rural,101.75,26.7,smokes,0 +48781,Male,67,0,0,Yes,Private,Rural,113.34,26.3,formerly smoked,0 +50947,Male,48,0,0,Yes,Private,Urban,63.33,26.5,smokes,0 +47844,Female,38,0,0,Yes,Private,Urban,69.34,43.7,never smoked,0 +45209,Female,14,0,0,No,Private,Rural,118.81,24.7,Unknown,0 +49412,Male,63,0,0,Yes,Govt_job,Urban,66.13,46.2,never smoked,0 +43088,Male,37,0,0,No,Private,Urban,67.53,49.5,formerly smoked,0 +16355,Male,20,0,0,No,Private,Urban,96.58,43.3,never smoked,0 +43172,Female,60,0,0,Yes,Private,Urban,57.89,30.9,formerly smoked,0 +43155,Female,13,0,0,No,children,Rural,78.38,38.7,Unknown,0 +11882,Male,34,0,0,No,Private,Urban,94.15,28.6,never smoked,0 +45669,Male,22,0,0,No,Private,Urban,89.53,30.2,Unknown,0 +65339,Female,46,0,0,Yes,Private,Urban,127.75,30.5,never smoked,0 +60399,Male,53,0,0,Yes,Self-employed,Rural,76.79,33.9,Unknown,0 +59604,Female,28,0,0,Yes,Private,Rural,141.15,28.6,never smoked,0 +22488,Female,62,0,0,Yes,Govt_job,Urban,88.63,24.5,never smoked,0 +33187,Female,6,0,0,No,children,Urban,201.25,N/A,Unknown,0 +44192,Female,11,0,0,No,children,Urban,130.15,17.2,Unknown,0 +16114,Male,66,0,0,No,Private,Urban,108.03,27.2,never smoked,0 +35293,Female,80,0,0,Yes,Self-employed,Rural,104.07,19.3,formerly smoked,0 +728,Male,8,0,0,No,children,Urban,88.83,18.5,Unknown,0 +45788,Male,53,0,1,Yes,Private,Rural,197.79,32,Unknown,0 +52150,Male,63,1,1,Yes,Private,Urban,150.45,44.5,formerly smoked,0 +26172,Male,31,0,0,Yes,Private,Rural,100.39,37,never smoked,0 +67814,Male,43,0,0,Yes,Govt_job,Rural,79.92,30.8,formerly smoked,0 +12618,Male,79,0,1,Yes,Self-employed,Urban,96.79,24.7,Unknown,0 +28952,Male,8,0,0,No,children,Rural,86.84,18.3,Unknown,0 +39123,Male,38,0,0,Yes,Private,Rural,61.27,44,Unknown,0 +53967,Female,80,0,0,Yes,Self-employed,Rural,72.61,27.6,never smoked,0 +34772,Female,49,0,0,Yes,Private,Rural,82.41,45.4,smokes,0 +43124,Female,50,0,0,Yes,Govt_job,Urban,74.72,28.5,never smoked,0 +51916,Male,13,0,0,No,children,Rural,57.37,17.6,Unknown,0 +68003,Male,46,1,0,Yes,Private,Rural,73.72,N/A,smokes,0 +59157,Male,73,1,0,Yes,Private,Urban,88.34,27.5,never smoked,0 +54383,Male,60,0,0,Yes,Private,Rural,101.34,32.8,never smoked,0 +6928,Male,44,0,0,Yes,Private,Rural,119.01,29.5,never smoked,0 +321,Female,79,0,0,No,Self-employed,Rural,71.98,36.4,never smoked,0 +21857,Female,5,0,0,No,children,Urban,84.91,26.1,Unknown,0 +33526,Female,51,0,0,Yes,Self-employed,Rural,91.63,35.3,Unknown,0 +37327,Female,71,0,0,Yes,Private,Urban,214.77,N/A,Unknown,0 +55976,Male,5,0,0,No,children,Rural,145.71,18.1,Unknown,0 +56090,Female,65,0,0,Yes,Self-employed,Rural,167.31,27.1,never smoked,0 +38350,Female,81,0,0,Yes,Self-employed,Urban,63.65,23,Unknown,0 +6040,Female,46,0,0,No,Private,Rural,79.63,55,Unknown,0 +17639,Male,44,0,0,Yes,Govt_job,Rural,87.49,26.6,never smoked,0 +1678,Female,54,1,0,Yes,Private,Rural,98.74,N/A,never smoked,0 +27572,Female,25,0,0,No,Private,Rural,92.82,24.1,never smoked,0 +57668,Male,49,0,0,Yes,Govt_job,Urban,72.2,30.3,formerly smoked,0 +22001,Male,80,0,1,Yes,Govt_job,Rural,181.23,32.2,formerly smoked,0 +54184,Female,22,0,0,No,Private,Urban,63.37,26.5,never smoked,0 +27966,Female,61,0,0,Yes,Private,Urban,74.82,30.6,never smoked,0 +4702,Female,3,0,0,No,children,Rural,97.6,25.8,Unknown,0 +38123,Male,50,0,0,Yes,Private,Rural,93.04,41.9,smokes,0 +47345,Male,45,0,0,Yes,Private,Rural,97.12,29.2,never smoked,0 +17222,Male,55,1,0,Yes,Self-employed,Rural,82.81,44.3,never smoked,0 +45048,Female,21,0,0,No,Private,Urban,134.45,29.1,never smoked,0 +30084,Male,0.8,0,0,No,children,Rural,98.67,17.5,Unknown,0 +7195,Male,50,0,1,No,Private,Urban,85.82,31.9,never smoked,0 +16260,Male,73,0,1,Yes,Self-employed,Rural,189.45,32.2,never smoked,0 +52457,Female,58,0,1,Yes,Private,Rural,144.16,26,smokes,0 +50650,Male,30,0,0,No,Private,Rural,82.56,25.4,formerly smoked,0 +35913,Female,55,1,0,Yes,Private,Urban,206.4,54.8,never smoked,0 +52306,Male,57,0,0,Yes,Self-employed,Urban,67.97,27.9,never smoked,0 +132,Female,80,0,0,Yes,Govt_job,Urban,84.86,N/A,Unknown,0 +8951,Female,77,1,0,Yes,Self-employed,Urban,71.7,32.8,never smoked,0 +64752,Female,29,0,0,No,Private,Urban,72.02,34,formerly smoked,0 +51285,Female,46,0,0,Yes,Private,Urban,61.81,25.5,Unknown,0 +14349,Female,40,0,0,Yes,Private,Urban,103.09,35.6,Unknown,0 +40571,Male,29,0,0,No,Private,Urban,73.75,28.3,never smoked,0 +40624,Female,37,0,0,Yes,Private,Rural,156.7,36.9,never smoked,0 +13072,Female,35,0,0,Yes,Self-employed,Urban,70.87,22.1,formerly smoked,0 +66310,Male,54,0,0,Yes,Self-employed,Rural,138.47,31.5,never smoked,0 +58101,Female,56,0,1,Yes,Private,Rural,64.66,26.7,formerly smoked,0 +22969,Female,26,0,0,Yes,Private,Rural,91.88,24.9,formerly smoked,0 +28904,Female,75,0,0,Yes,Self-employed,Rural,74.79,32.4,never smoked,0 +6563,Female,44,0,0,No,Private,Rural,78.18,32.2,never smoked,0 +55315,Male,63,0,0,Yes,Private,Rural,77.82,30.3,Unknown,0 +47537,Female,17,0,0,No,Private,Rural,112.23,28.7,never smoked,0 +45945,Male,46,0,1,Yes,Private,Urban,178.76,24.1,never smoked,0 +65849,Female,47,0,0,Yes,Private,Rural,121.43,25.3,never smoked,0 +31125,Female,50,0,0,Yes,Private,Rural,94.22,24.8,never smoked,0 +5103,Female,49,0,0,Yes,Private,Rural,67.27,N/A,formerly smoked,0 +54526,Male,76,1,0,Yes,Self-employed,Rural,197.58,34.8,formerly smoked,0 +67309,Male,47,0,0,Yes,Private,Rural,86.37,39.2,smokes,0 +2275,Female,47,0,0,Yes,Private,Urban,112.09,24.7,smokes,0 +29869,Male,49,0,0,Yes,Private,Urban,199.96,28.6,never smoked,0 +15757,Male,71,0,0,Yes,Private,Urban,85.33,27.7,never smoked,0 +38523,Female,65,0,0,No,Self-employed,Rural,86.33,33.1,never smoked,0 +65388,Female,40,0,0,No,Private,Urban,80.47,27.3,smokes,0 +60816,Female,82,1,0,Yes,Private,Urban,62.46,20.3,formerly smoked,0 +67350,Female,64,0,0,Yes,Govt_job,Rural,78.85,33.9,never smoked,0 +40124,Male,72,0,0,Yes,Self-employed,Rural,72.09,N/A,smokes,0 +20370,Female,50,0,0,Yes,Self-employed,Rural,103.81,28.3,never smoked,0 +35188,Female,40,0,0,No,Private,Urban,78.04,32.4,smokes,0 +28716,Female,74,0,0,Yes,Self-employed,Rural,94.67,19.7,Unknown,0 +56166,Female,30,0,0,Yes,Govt_job,Rural,62.25,33.7,never smoked,0 +47159,Male,68,0,0,Yes,Private,Urban,155.17,35.5,never smoked,0 +26242,Male,6,0,0,No,children,Urban,83.28,20,Unknown,0 +36226,Male,4,0,0,No,children,Urban,132.41,16.3,Unknown,0 +47357,Female,60,0,0,Yes,Private,Rural,62.78,36.4,Unknown,0 +33167,Female,59,0,0,Yes,Private,Urban,89.96,28.1,Unknown,0 +21042,Female,72,0,0,Yes,Self-employed,Rural,103.25,26.9,formerly smoked,0 +71062,Female,62,0,0,Yes,Private,Rural,126.99,29.4,formerly smoked,0 +32723,Female,13,0,0,No,children,Rural,102.27,17.2,never smoked,0 +49646,Male,72,0,1,Yes,Self-employed,Rural,113.63,26.5,Unknown,0 +35737,Male,1.08,0,0,No,children,Urban,86.09,19.5,Unknown,0 +24256,Male,35,0,0,Yes,Private,Rural,108.08,30.6,formerly smoked,0 +62340,Male,54,0,0,Yes,Private,Urban,108.34,31.9,never smoked,0 +39927,Male,40,0,0,Yes,Private,Rural,56.07,26.6,never smoked,0 +30677,Female,3,0,0,No,children,Urban,82.91,19.9,Unknown,0 +50453,Male,2,0,0,No,children,Urban,94.75,18,Unknown,0 +17398,Male,41,0,0,Yes,Private,Rural,101.79,26.7,Unknown,0 +20938,Female,61,0,0,Yes,Private,Rural,88.41,25.3,formerly smoked,0 +21850,Male,58,0,0,Yes,Govt_job,Urban,101.05,31.4,Unknown,0 +14241,Male,17,0,0,No,Private,Urban,85.07,21.1,never smoked,0 +43905,Female,64,0,0,No,Govt_job,Rural,108.1,17.9,never smoked,0 +40144,Female,32,0,0,No,Self-employed,Rural,93.17,27.5,smokes,0 +7806,Female,42,0,0,Yes,Private,Urban,158.89,37.6,smokes,0 +63984,Male,39,0,0,Yes,Private,Rural,205.77,24.1,never smoked,0 +13504,Female,10,0,0,No,children,Urban,112.34,18.1,Unknown,0 +62272,Female,78,0,0,Yes,Private,Urban,119.03,31,never smoked,0 +5878,Female,68,0,0,Yes,Private,Urban,237.21,26.6,smokes,0 +62767,Female,24,0,0,Yes,Private,Urban,89.68,38.7,never smoked,0 +239,Male,59,1,1,Yes,Private,Rural,246.53,27.2,formerly smoked,0 +3184,Female,45,0,0,Yes,Private,Urban,89.05,27.8,formerly smoked,0 +51959,Male,12,0,0,No,children,Rural,81.74,28.3,Unknown,0 +2092,Female,37,0,0,Yes,Private,Rural,98.12,27.5,never smoked,0 +69239,Female,43,0,0,Yes,Self-employed,Rural,105.59,43.3,smokes,0 +68235,Male,12,0,0,No,children,Rural,86,20.1,formerly smoked,0 +3956,Male,13,0,0,No,children,Urban,65.51,25.9,Unknown,0 +42703,Male,74,0,0,Yes,Self-employed,Urban,61.78,25.8,Unknown,0 +34436,Female,2,0,0,No,children,Rural,109.56,16.4,Unknown,0 +39258,Female,59,0,0,Yes,Self-employed,Urban,65.82,29.4,never smoked,0 +40513,Female,21,0,0,No,Private,Urban,90.16,28.9,smokes,0 +48648,Female,55,0,0,Yes,Private,Urban,64.45,26.7,never smoked,0 +48836,Female,14,0,0,No,children,Urban,91.85,27.8,never smoked,0 +71444,Female,53,0,0,Yes,Private,Rural,97.89,38.7,formerly smoked,0 +33983,Male,75,0,0,Yes,Govt_job,Rural,206.33,26.8,never smoked,0 +35372,Male,37,0,0,Yes,Govt_job,Rural,74.29,36.1,never smoked,0 +31849,Female,49,0,0,Yes,Private,Rural,107.4,26.7,smokes,0 +2772,Male,55,0,0,Yes,Private,Urban,87.72,27,Unknown,0 +11148,Male,57,0,0,Yes,Private,Rural,85.99,21.2,Unknown,0 +62387,Female,45,0,0,Yes,Private,Urban,100.84,21,never smoked,0 +50775,Male,46,0,0,No,Private,Urban,124.61,37.4,Unknown,0 +3807,Female,12,0,0,No,children,Urban,86.55,26.5,Unknown,0 +51339,Male,12,0,0,No,children,Rural,90.42,28.9,Unknown,0 +69259,Female,77,0,0,Yes,Private,Rural,100.85,29.5,smokes,0 +32826,Male,6,0,0,No,children,Urban,87.74,17.7,Unknown,0 +12414,Male,76,1,0,Yes,Private,Rural,80.15,34.9,formerly smoked,0 +21381,Female,52,0,0,Yes,Private,Urban,107.29,28.1,never smoked,0 +29375,Male,62,0,0,Yes,Private,Urban,206.98,36.8,smokes,0 +62452,Male,82,1,0,Yes,Private,Rural,227.28,33.3,never smoked,0 +68650,Male,69,0,1,Yes,Private,Rural,80.43,29.2,Unknown,0 +47622,Male,78,0,1,Yes,Self-employed,Urban,228.7,34,Unknown,0 +57124,Male,37,0,0,Yes,Private,Urban,120.07,33.9,smokes,0 +19382,Female,50,0,0,Yes,Private,Rural,93.47,28.7,never smoked,0 +44179,Female,41,0,0,Yes,Private,Urban,80.77,21.1,never smoked,0 +50098,Male,54,0,0,Yes,Private,Rural,150.27,38.2,smokes,0 +24674,Male,43,0,0,Yes,Private,Urban,81.94,27.7,smokes,0 +72361,Female,37,0,0,Yes,Private,Urban,70.75,35.8,Unknown,0 +14563,Male,9,0,0,No,children,Urban,83.83,27.1,Unknown,0 +40237,Female,11,0,0,No,children,Urban,73.66,20.5,never smoked,0 +36523,Male,56,1,0,Yes,Private,Urban,102.37,35.6,never smoked,0 +65970,Female,5,0,0,No,children,Rural,77.83,15.6,Unknown,0 +1577,Female,17,0,0,No,Private,Urban,70.01,43,Unknown,0 +51109,Female,6,0,0,No,children,Rural,119.88,17.8,Unknown,0 +5984,Male,25,0,0,Yes,Private,Rural,78.29,N/A,smokes,0 +46373,Female,57,0,0,Yes,Private,Rural,169.97,25.8,never smoked,0 +13062,Male,18,0,0,No,Private,Rural,123.79,20.5,Unknown,0 +47770,Male,2,0,0,No,children,Urban,80.98,19.9,Unknown,0 +32459,Female,76,0,0,Yes,Govt_job,Rural,84.21,24.4,never smoked,0 +12687,Male,1,0,0,No,children,Urban,101.31,18.3,Unknown,0 +7725,Male,54,0,0,Yes,Private,Urban,86.26,35.1,formerly smoked,0 +67217,Female,45,0,0,Yes,Private,Urban,92.86,35.1,formerly smoked,0 +49976,Female,54,0,1,Yes,Private,Urban,140.28,37.1,formerly smoked,0 +71318,Male,67,0,0,Yes,Govt_job,Rural,244.28,29.4,formerly smoked,0 +42201,Male,53,0,0,Yes,Private,Urban,124.16,31.7,never smoked,0 +11232,Male,47,0,0,Yes,Private,Rural,93.55,31.4,never smoked,0 +14709,Male,44,0,0,Yes,Private,Urban,99.34,33.1,never smoked,0 +57137,Male,65,0,0,Yes,Private,Urban,59.87,28.5,smokes,0 +36858,Female,40,0,0,Yes,Private,Rural,72.76,24,formerly smoked,0 +50373,Female,3,0,0,No,children,Rural,68.34,18,Unknown,0 +51124,Male,81,0,0,Yes,Self-employed,Urban,61.1,27.6,smokes,0 +13191,Female,24,0,0,No,Private,Rural,120.77,16.9,never smoked,0 +47330,Male,9,0,0,No,children,Rural,60.39,16.4,Unknown,0 +42191,Female,52,0,0,Yes,Govt_job,Urban,126.34,35.1,never smoked,0 +35332,Female,63,0,0,Yes,Private,Rural,93.24,28.8,never smoked,0 +49341,Female,78,0,0,Yes,Private,Rural,154.75,17.6,never smoked,0 +64750,Female,22,0,0,No,Private,Rural,62.81,21.3,never smoked,0 +70259,Female,2,0,0,No,children,Rural,65.96,19.7,Unknown,0 +36960,Female,79,0,0,Yes,Private,Rural,79.53,37.3,never smoked,0 +12992,Female,49,0,0,Yes,Private,Rural,96.85,35.5,never smoked,0 +4692,Female,74,0,0,Yes,Govt_job,Urban,251.99,25.5,never smoked,0 +62460,Male,62,0,0,Yes,Private,Rural,115.13,30,smokes,0 +72132,Male,16,0,0,No,children,Urban,102.3,21.9,Unknown,0 +41402,Male,62,0,0,Yes,Self-employed,Urban,78.99,45.5,never smoked,0 +40253,Male,27,0,0,No,Private,Rural,191.79,N/A,smokes,0 +63577,Female,50,1,0,Yes,Self-employed,Rural,68.8,34.9,never smoked,0 +11726,Female,49,0,0,Yes,Govt_job,Rural,83.84,19.3,formerly smoked,0 +13736,Male,24,0,0,Yes,Private,Urban,94.66,32.1,formerly smoked,0 +43913,Female,21,0,0,No,Private,Rural,107.98,26.9,never smoked,0 +41870,Male,17,0,0,No,Never_worked,Rural,61.01,32.5,Unknown,0 +37907,Female,22,0,0,No,Private,Urban,135.64,19.5,never smoked,0 +15987,Male,13,0,0,No,children,Urban,92.65,31.7,never smoked,0 +57166,Female,21,0,0,No,Private,Rural,121.11,21,Unknown,0 +44950,Male,51,1,0,Yes,Private,Rural,163.56,N/A,formerly smoked,0 +47627,Male,8,0,0,No,children,Urban,107.69,20.3,Unknown,0 +42460,Male,48,0,0,Yes,Self-employed,Rural,216.88,N/A,smokes,0 +8723,Female,16,0,0,No,Private,Rural,70.15,21.5,Unknown,0 +52559,Male,18,0,0,No,Private,Urban,83.02,40.4,Unknown,0 +937,Male,7,0,0,No,children,Urban,87.94,N/A,Unknown,0 +41271,Male,68,1,0,Yes,Govt_job,Urban,222.29,30.1,never smoked,0 +66893,Male,49,1,0,Yes,Govt_job,Urban,139.43,40.2,formerly smoked,0 +21491,Female,80,0,0,Yes,Private,Urban,213.11,34.7,never smoked,0 +51806,Male,31,0,0,Yes,Private,Rural,77.23,25.9,smokes,0 +59412,Female,25,0,0,Yes,Private,Urban,58.48,23.7,never smoked,0 +742,Female,39,0,0,No,Govt_job,Rural,87.33,34.3,never smoked,0 +42902,Male,35,0,0,Yes,Private,Rural,102.34,34.3,never smoked,0 +43059,Female,71,0,0,Yes,Self-employed,Rural,151.3,26.3,never smoked,0 +61512,Female,71,0,0,Yes,Self-employed,Urban,144.23,22.1,formerly smoked,0 +10943,Female,40,0,0,Yes,Govt_job,Rural,110.6,33.3,formerly smoked,0 +11447,Female,41,0,0,Yes,Govt_job,Urban,80.28,37.3,never smoked,0 +29233,Male,2,0,0,No,children,Rural,111.02,20.5,Unknown,0 +17762,Female,3,0,0,No,children,Rural,114.88,19.1,Unknown,0 +46284,Male,53,1,0,Yes,Self-employed,Urban,227.51,34.7,formerly smoked,0 +1405,Male,1.88,0,0,No,children,Urban,111.65,16.3,Unknown,0 +38493,Male,60,1,1,Yes,Private,Urban,201.01,28,never smoked,0 +57953,Female,5,0,0,No,children,Urban,129.01,17.2,Unknown,0 +30746,Female,30,0,0,Yes,Private,Rural,124.08,41.1,Unknown,0 +16949,Female,49,1,0,Yes,Govt_job,Rural,107.91,25,Unknown,0 +45297,Male,68,1,0,Yes,Private,Rural,95.4,27.5,never smoked,0 +40251,Female,23,0,0,No,Private,Rural,65.9,21.5,never smoked,0 +27013,Male,2,0,0,No,children,Urban,78.98,15.1,Unknown,0 +7586,Male,24,0,0,No,Self-employed,Rural,111.33,29.6,formerly smoked,0 +26452,Female,41,0,0,Yes,Private,Rural,104.36,30.2,never smoked,0 +16378,Female,63,0,0,Yes,Govt_job,Urban,123.87,34.9,Unknown,0 +5137,Male,64,0,0,Yes,Self-employed,Rural,210,30.7,formerly smoked,0 +4559,Male,38,0,0,No,Private,Rural,86.86,36.5,Unknown,0 +45357,Female,1.24,0,0,No,children,Rural,113.96,21.5,Unknown,0 +45257,Female,38,0,0,Yes,Private,Rural,81.28,33.2,smokes,0 +34386,Female,43,0,0,Yes,Private,Rural,102.5,50.2,never smoked,0 +15219,Female,27,0,0,No,Private,Rural,78.05,22.3,never smoked,0 +39202,Female,61,1,1,Yes,Private,Urban,237.58,N/A,formerly smoked,0 +9076,Male,42,0,0,Yes,Self-employed,Urban,86.07,27.3,Unknown,0 +72824,Male,46,0,0,Yes,Private,Rural,59.05,28.3,formerly smoked,0 +64132,Male,67,0,1,Yes,Self-employed,Rural,95.88,31.9,Unknown,0 +52987,Female,34,0,0,Yes,Govt_job,Rural,70.18,24.9,Unknown,0 +17827,Male,51,0,0,Yes,Private,Rural,111.13,32.7,formerly smoked,0 +29378,Female,77,0,0,Yes,Private,Urban,79.3,26.4,Unknown,0 +29327,Female,30,0,0,No,Self-employed,Urban,65.84,24.8,smokes,0 +48609,Female,81,0,1,Yes,Private,Rural,123.49,30.7,smokes,0 +4833,Female,12,0,0,No,children,Rural,207.45,25.4,smokes,0 +8085,Male,18,0,0,No,Private,Rural,143.45,32,smokes,0 +41820,Female,35,0,0,Yes,Govt_job,Rural,89.11,24.4,never smoked,0 +72474,Female,82,0,0,Yes,Govt_job,Rural,58.3,20.4,never smoked,0 +32094,Male,53,1,0,Yes,Self-employed,Urban,78.68,29.5,never smoked,0 +66818,Male,75,0,0,Yes,Govt_job,Urban,98.91,24.4,never smoked,0 +49057,Female,32,0,0,No,Private,Rural,67.92,22.8,smokes,0 +18070,Female,27,0,0,No,Private,Rural,73,20,never smoked,0 +17860,Male,56,0,0,Yes,Private,Rural,97.5,36.3,formerly smoked,0 +17078,Male,71,0,0,Yes,Private,Urban,108.43,32.8,smokes,0 +23836,Male,78,0,0,Yes,Private,Urban,90.43,34.4,formerly smoked,0 +5296,Female,44,0,0,No,Private,Urban,76.3,30.5,never smoked,0 +48184,Male,62,0,0,Yes,Private,Rural,121.27,29.7,smokes,0 +9511,Male,27,0,0,No,Private,Urban,119.67,36.9,Unknown,0 +19389,Female,42,0,1,Yes,Govt_job,Urban,226.93,34.2,smokes,0 +25559,Female,66,0,1,Yes,Govt_job,Rural,76.11,37,Unknown,0 +11770,Female,25,0,0,Yes,Govt_job,Urban,93.23,N/A,smokes,0 +34496,Female,82,0,0,Yes,Private,Urban,253.16,47.5,Unknown,0 +8096,Female,49,0,0,Yes,Private,Urban,101.02,24.2,smokes,0 +49709,Female,77,1,0,Yes,Self-employed,Rural,238.53,30.6,never smoked,0 +19735,Female,59,0,0,Yes,Private,Rural,79.18,52.8,formerly smoked,0 +31415,Female,54,0,0,Yes,Private,Urban,207.79,38.6,never smoked,0 +71322,Female,38,0,0,Yes,Private,Rural,196.2,32.8,never smoked,0 +72337,Female,55,0,0,Yes,Private,Urban,231.76,42.9,never smoked,0 +25454,Female,13,0,0,No,children,Rural,93.3,25.9,Unknown,0 +15310,Female,45,0,0,Yes,Private,Urban,110.47,24.7,smokes,0 +10245,Female,54,0,0,Yes,Self-employed,Rural,77.52,35.8,never smoked,0 +29224,Male,30,0,0,Yes,Private,Urban,91.23,N/A,smokes,0 +7550,Female,51,0,0,Yes,Private,Rural,216.92,31.2,Unknown,0 +57917,Female,47,0,0,Yes,Private,Urban,157.01,26.1,smokes,0 +24219,Male,25,0,0,Yes,Private,Urban,93.51,30.8,never smoked,0 +49023,Male,61,1,0,Yes,Self-employed,Rural,102.54,40.5,never smoked,0 +51020,Female,55,0,0,Yes,Private,Rural,87.78,25.2,formerly smoked,0 +52089,Female,23,0,0,No,Private,Urban,126.67,28.7,smokes,0 +29095,Male,71,1,0,Yes,Self-employed,Rural,93.6,N/A,never smoked,0 +41424,Male,59,0,1,Yes,Self-employed,Rural,194.98,30.4,Unknown,0 +7297,Male,4,0,0,No,children,Rural,99.96,15.2,Unknown,0 +68994,Male,65,0,0,Yes,Private,Urban,58.87,36.6,never smoked,0 +25935,Female,50,0,0,No,Self-employed,Urban,77.67,34.5,Unknown,0 +29910,Male,42,0,0,Yes,Private,Urban,83.14,23.7,never smoked,0 +24567,Male,51,0,0,Yes,Self-employed,Urban,69.18,35.7,smokes,0 +54858,Male,66,0,0,Yes,Govt_job,Rural,218.54,38.9,smokes,0 +36679,Female,22,1,0,No,Private,Urban,71.22,40,never smoked,0 +59339,Male,5,0,0,No,children,Urban,82.41,18.4,Unknown,0 +18754,Male,19,0,0,No,Self-employed,Rural,82.07,29,never smoked,0 +34312,Female,47,0,0,Yes,Self-employed,Urban,73,20.6,never smoked,0 +57798,Male,12,0,0,No,children,Rural,127.25,28.2,Unknown,0 +37759,Female,53,0,0,Yes,Private,Rural,72.63,66.8,Unknown,0 +11605,Female,26,0,0,No,Private,Rural,108.2,26.2,never smoked,0 +47558,Male,62,1,1,Yes,Private,Urban,123.95,34.8,formerly smoked,0 +54264,Female,81,1,0,Yes,Private,Urban,58.71,34.5,never smoked,0 +47893,Male,63,0,0,Yes,Private,Rural,98.46,30.6,never smoked,0 +3178,Female,25,0,0,Yes,Private,Rural,68.78,55.1,formerly smoked,0 +61924,Male,8,0,0,No,children,Rural,133.63,18.8,Unknown,0 +18141,Male,76,0,1,Yes,Self-employed,Rural,101.43,29.1,Unknown,0 +58015,Female,44,0,0,No,Private,Rural,65.3,22.1,smokes,0 +354,Female,65,0,0,Yes,Private,Urban,72.49,28.9,smokes,0 +5777,Female,54,0,0,Yes,Private,Urban,65.49,34.7,Unknown,0 +43271,Female,24,0,0,No,Govt_job,Urban,63.4,20.3,smokes,0 +46210,Female,65,0,0,Yes,Self-employed,Rural,105.29,25.1,formerly smoked,0 +39714,Male,12,0,0,No,children,Urban,64.08,18.2,Unknown,0 +21785,Female,33,0,0,No,Private,Urban,78.34,25.5,never smoked,0 +36620,Female,74,0,0,Yes,Private,Rural,66.32,34.4,formerly smoked,0 +49495,Female,18,0,0,No,Private,Rural,168.15,48.5,never smoked,0 +21720,Female,77,0,0,Yes,Private,Rural,93.48,25.2,formerly smoked,0 +6304,Male,48,1,0,Yes,Self-employed,Urban,79.2,32.5,never smoked,0 +18887,Male,52,0,0,Yes,Private,Rural,107.45,42.1,formerly smoked,0 +30214,Male,23,0,0,No,Private,Rural,83.86,19.5,never smoked,0 +66419,Male,25,0,0,Yes,Private,Rural,119.96,27.7,never smoked,0 +57468,Female,44,0,0,Yes,Private,Rural,70.58,25.1,never smoked,0 +24218,Female,78,0,0,No,Private,Rural,87.7,29.6,never smoked,0 +69792,Female,37,0,0,Yes,Govt_job,Urban,65.29,32.9,never smoked,0 +6372,Female,32,0,0,Yes,Private,Urban,97.14,55.9,never smoked,0 +34664,Male,67,0,0,Yes,Private,Urban,110.68,25.1,formerly smoked,0 +40931,Female,41,0,0,Yes,Govt_job,Urban,91.93,24.7,smokes,0 +28559,Male,2,0,0,No,children,Urban,88.54,17.5,Unknown,0 +15166,Female,75,1,0,Yes,Private,Urban,183,20.8,Unknown,0 +49815,Female,17,0,0,No,Govt_job,Rural,115.93,23.3,never smoked,0 +1625,Female,13,0,0,No,children,Urban,99.13,22.8,Unknown,0 +56309,Female,25,0,0,Yes,Private,Rural,69.24,26.6,never smoked,0 +30116,Female,57,0,0,Yes,Private,Rural,102.28,25.5,never smoked,0 +52034,Male,31,0,0,Yes,Private,Urban,71.31,25.8,never smoked,0 +35584,Male,61,0,0,Yes,Private,Rural,89.75,25.4,never smoked,0 +2898,Male,46,0,0,Yes,Private,Urban,87.66,57.3,never smoked,0 +16593,Male,47,0,0,No,Private,Rural,237.17,N/A,Unknown,0 +17175,Female,15,0,0,No,children,Urban,81.11,20.2,Unknown,0 +63663,Male,47,0,0,Yes,Private,Urban,178.33,27.7,never smoked,0 +10603,Female,68,0,0,Yes,Private,Rural,81.38,23.1,Unknown,0 +40544,Male,0.4,0,0,No,children,Urban,109.56,14.3,Unknown,0 +49152,Female,40,0,0,No,Private,Rural,70.45,23.3,smokes,0 +1231,Female,62,0,0,Yes,Govt_job,Rural,73.44,23.4,Unknown,0 +43672,Female,45,0,0,Yes,Private,Urban,146.44,22.8,formerly smoked,0 +25107,Female,47,0,0,Yes,Private,Urban,65.04,30.9,never smoked,0 +39286,Female,35,0,0,Yes,Self-employed,Rural,151.25,28.4,Unknown,0 +32766,Male,51,0,0,No,Private,Rural,106.41,41.9,smokes,0 +15988,Male,60,1,0,Yes,Private,Urban,197.09,34.3,Unknown,0 +9011,Male,59,0,0,Yes,Private,Urban,93.58,25.1,smokes,0 +38043,Female,1.24,0,0,No,children,Rural,122.04,10.3,Unknown,0 +71721,Female,18,0,0,No,Private,Rural,80.06,31.8,Unknown,0 +14832,Female,81,0,1,Yes,Private,Urban,84.93,31.8,Unknown,0 +38094,Male,15,0,0,No,Self-employed,Urban,68.4,23,never smoked,0 +49789,Female,73,0,0,No,Govt_job,Urban,62.99,25.4,formerly smoked,0 +47350,Female,0.08,0,0,No,children,Urban,139.67,14.1,Unknown,0 +33525,Male,53,0,0,Yes,Govt_job,Urban,113.4,35.1,smokes,0 +12318,Male,45,0,0,Yes,Self-employed,Urban,101.92,26.9,Unknown,0 +54553,Male,70,1,0,Yes,Private,Urban,65.98,33,formerly smoked,0 +45976,Male,56,0,0,Yes,Private,Urban,84.3,22.1,Unknown,0 +43675,Female,7,0,0,No,children,Urban,61.42,20.8,Unknown,0 +12915,Female,66,0,0,Yes,Govt_job,Rural,85.52,30,never smoked,0 +4542,Female,53,0,0,Yes,Govt_job,Urban,83.79,44,Unknown,0 +65801,Female,20,0,0,No,Private,Urban,73.83,16.6,Unknown,0 +59953,Female,15,0,0,No,Private,Rural,69.38,28.4,never smoked,0 +60973,Male,51,0,0,Yes,Private,Urban,66.11,26.3,never smoked,0 +68739,Male,34,0,0,Yes,Private,Urban,149.62,39.4,formerly smoked,0 +35829,Female,33,0,0,Yes,Private,Urban,242.84,15.7,smokes,0 +53909,Female,53,1,0,Yes,Private,Urban,202.66,34.1,smokes,0 +5799,Male,69,0,1,Yes,Private,Rural,216.9,29.8,formerly smoked,0 +43772,Female,28,0,0,No,Private,Urban,103.78,23.6,Unknown,0 +3154,Female,81,0,0,Yes,Self-employed,Rural,114.88,18.3,formerly smoked,0 +45754,Female,20,0,0,No,Private,Urban,75.94,28.3,never smoked,0 +57485,Female,1.48,0,0,No,children,Rural,55.51,18.5,Unknown,0 +6128,Male,2,0,0,No,children,Rural,93.74,18.4,Unknown,0 +22623,Male,77,0,0,Yes,Private,Urban,71.44,24.1,smokes,0 +37082,Female,38,0,0,Yes,Govt_job,Urban,58.29,25.5,formerly smoked,0 +64541,Male,23,0,0,Yes,Private,Urban,115.83,25.3,never smoked,0 +47037,Female,67,0,0,Yes,Private,Urban,102.71,39.9,formerly smoked,0 +48614,Male,59,0,0,Yes,Govt_job,Urban,99.69,28.8,smokes,0 +15969,Female,41,0,0,Yes,Self-employed,Rural,102.89,37.2,formerly smoked,0 +17752,Male,76,0,1,Yes,Private,Urban,79.05,N/A,Unknown,0 +50889,Female,21,0,0,No,Govt_job,Rural,56.63,49.8,never smoked,0 +56459,Male,41,0,0,Yes,Private,Rural,87.34,34.3,formerly smoked,0 +34163,Male,54,0,0,Yes,Private,Rural,109.51,29,never smoked,0 +4538,Female,29,0,0,No,Private,Urban,81.43,N/A,formerly smoked,0 +14222,Female,25,0,0,No,Private,Urban,78.59,37.2,never smoked,0 +31461,Female,48,0,1,Yes,Self-employed,Urban,101.22,N/A,formerly smoked,0 +34001,Female,6,0,0,No,children,Urban,78.26,19.4,Unknown,0 +48964,Male,21,0,0,No,Private,Rural,105.47,26.2,never smoked,0 +40393,Female,32,0,0,No,Private,Urban,68.19,21.1,never smoked,0 +16488,Female,57,1,0,Yes,Private,Urban,210,N/A,never smoked,0 +47947,Female,64,0,0,Yes,Self-employed,Rural,114.47,31.6,smokes,0 +51149,Male,70,0,0,Yes,Private,Urban,66.85,29.3,Unknown,0 +17079,Male,44,0,0,Yes,Private,Rural,94.71,28.4,smokes,0 +44781,Female,60,0,1,Yes,Private,Urban,208.05,35.3,smokes,0 +29385,Female,56,0,0,Yes,Private,Rural,222.6,40.1,smokes,0 +53610,Male,53,0,0,Yes,Private,Urban,80.81,39,formerly smoked,0 +48210,Male,59,0,0,Yes,Private,Rural,64.51,31.5,never smoked,0 +48072,Female,53,1,0,Yes,Private,Urban,151.56,28.5,Unknown,0 +32776,Male,63,0,0,Yes,Private,Urban,199.14,28.5,never smoked,0 +8960,Female,42,0,0,No,Self-employed,Rural,73.41,56,smokes,0 +63491,Female,63,0,0,Yes,Private,Urban,109.65,28.6,formerly smoked,0 +51883,Female,52,0,0,Yes,Govt_job,Rural,69.11,35.2,never smoked,0 +20460,Female,62,0,0,Yes,Private,Urban,114.41,32.5,never smoked,0 +47181,Female,68,0,0,Yes,Private,Urban,103.46,35.9,never smoked,0 +35432,Female,36,0,0,Yes,Private,Rural,95.36,25.1,never smoked,0 +44010,Female,3,0,0,No,children,Urban,57.33,16.8,Unknown,0 +50841,Female,40,0,0,Yes,Private,Rural,191.48,27.9,smokes,0 +71044,Female,8,0,0,No,children,Rural,71.63,16.3,Unknown,0 +1842,Male,58,0,0,Yes,Private,Urban,94,N/A,Unknown,0 +34720,Male,45,0,1,Yes,Private,Rural,93.77,N/A,Unknown,0 +9489,Female,65,0,0,Yes,Private,Urban,84.75,21.4,Unknown,0 +28725,Female,28,0,0,No,Private,Rural,89.24,32.7,formerly smoked,0 +30290,Female,40,0,0,Yes,Private,Urban,70.13,23.6,never smoked,0 +13723,Female,65,0,0,Yes,Private,Urban,82.26,19.8,formerly smoked,0 +26328,Male,58,1,0,Yes,Private,Urban,200.16,33.1,never smoked,0 +60104,Male,44,0,0,Yes,Private,Urban,80.73,28.1,smokes,0 +48722,Female,54,0,0,Yes,Private,Urban,75.09,38.9,formerly smoked,0 +14481,Female,79,0,0,Yes,Self-employed,Urban,80.57,23.8,never smoked,0 +67963,Female,62,1,0,No,Private,Rural,77.04,33.8,formerly smoked,0 +70752,Male,37,0,0,Yes,Private,Urban,145.26,26.7,Unknown,0 +52419,Male,66,0,0,Yes,Private,Urban,190.4,N/A,formerly smoked,0 +14711,Male,63,0,0,Yes,Self-employed,Urban,82.08,32.2,formerly smoked,0 +26366,Female,27,0,0,No,Private,Rural,103.35,28.1,formerly smoked,0 +12436,Male,6,0,0,No,children,Urban,97.46,21.3,Unknown,0 +36722,Female,30,0,0,Yes,Private,Urban,123.65,44,smokes,0 +37698,Female,15,0,0,No,children,Urban,87.96,21.5,formerly smoked,0 +55235,Female,50,0,0,Yes,Self-employed,Urban,85.92,37.3,smokes,0 +20468,Female,32,0,0,Yes,Private,Urban,80.8,44.8,never smoked,0 +14677,Female,33,0,0,Yes,Self-employed,Rural,99.3,21.4,never smoked,0 +44171,Male,62,0,0,Yes,Private,Rural,62.56,32.3,never smoked,0 +70344,Male,82,0,0,Yes,Private,Urban,144.2,35.4,smokes,0 +8470,Female,71,0,0,Yes,Private,Urban,71.38,19.7,never smoked,0 +42743,Female,20,0,0,No,Private,Urban,95.5,31.3,Unknown,0 +13949,Female,44,0,0,Yes,Govt_job,Urban,67.06,35.5,never smoked,0 +61096,Male,57,0,0,Yes,Private,Rural,70.16,25.8,formerly smoked,0 +19239,Female,50,0,0,Yes,Govt_job,Urban,104.24,32.8,Unknown,0 +70447,Male,50,0,0,Yes,Private,Rural,122.48,35.9,smokes,0 +6879,Female,44,0,0,No,Govt_job,Urban,215.9,41.8,smokes,0 +37451,Female,47,0,0,Yes,Govt_job,Rural,108.56,27.3,formerly smoked,0 +5686,Male,35,0,0,Yes,Private,Urban,69.88,27.7,Unknown,0 +4789,Male,8,0,0,No,children,Rural,91.54,13.4,Unknown,0 +897,Male,3,0,0,No,children,Rural,65.85,17,Unknown,0 +69553,Female,29,0,0,Yes,Private,Rural,60.74,20,never smoked,0 +58438,Male,36,0,0,No,Private,Rural,233.52,40.9,never smoked,0 +29104,Female,19,0,0,No,Private,Urban,110.7,38.5,never smoked,0 +26862,Female,41,0,0,Yes,Govt_job,Rural,78.93,30.9,formerly smoked,0 +38036,Female,23,0,0,No,Private,Urban,124.5,33.4,Unknown,0 +36666,Male,14,0,0,No,children,Urban,57.95,17.1,Unknown,0 +16316,Male,35,0,0,Yes,Private,Rural,92.82,28.6,Unknown,0 +61365,Male,45,0,0,Yes,Private,Rural,58.25,24,smokes,0 +12512,Female,52,1,0,Yes,Private,Rural,213.54,32,never smoked,0 +31835,Male,19,0,0,No,Private,Urban,74.86,28.4,never smoked,0 +4099,Female,21,0,0,No,Private,Urban,78.35,20.3,Unknown,0 +26893,Male,8,0,0,No,children,Urban,101.26,33.8,Unknown,0 +35143,Female,35,0,0,Yes,Private,Urban,86.87,43.2,Unknown,0 +1486,Female,33,0,0,Yes,Private,Rural,124.01,22.7,Unknown,0 +5043,Female,53,0,0,Yes,Private,Urban,83.41,29.9,never smoked,0 +2513,Male,59,0,1,Yes,Govt_job,Urban,188.69,N/A,formerly smoked,0 +5451,Male,34,0,0,Yes,Private,Rural,86.51,N/A,formerly smoked,0 +3640,Female,31,0,0,No,Self-employed,Rural,70.65,29.9,Unknown,0 +17835,Female,43,0,0,No,Self-employed,Rural,92.4,22.7,Unknown,0 +26826,Female,61,0,0,Yes,Self-employed,Urban,73.36,16.1,never smoked,0 +45713,Female,57,0,0,Yes,Govt_job,Urban,219.5,33.8,formerly smoked,0 +37660,Male,11,0,0,No,children,Rural,105.73,22.6,never smoked,0 +24782,Male,36,0,0,Yes,Private,Rural,83.79,25.5,smokes,0 +63416,Female,16,0,0,No,Private,Urban,58.02,22.5,Unknown,0 +16953,Female,60,0,0,Yes,Govt_job,Rural,61.94,27.9,formerly smoked,0 +42082,Male,13,0,0,No,children,Rural,99.71,23.5,Unknown,0 +51660,Female,69,0,0,Yes,Self-employed,Rural,63.19,32.2,never smoked,0 +27135,Male,69,1,0,Yes,Private,Rural,107.11,N/A,smokes,0 +54058,Female,22,0,0,No,Private,Urban,56.84,29.9,smokes,0 +24272,Male,63,0,0,Yes,Govt_job,Rural,217.66,28.7,formerly smoked,0 +16028,Female,45,0,0,Yes,Private,Rural,77.19,37.2,smokes,0 +49645,Male,58,0,0,No,Private,Rural,76.22,22.2,formerly smoked,0 +54347,Male,61,0,0,Yes,Self-employed,Rural,155.32,26.6,formerly smoked,0 +4861,Female,30,0,0,Yes,Private,Urban,70.67,24.6,smokes,0 +54353,Female,78,1,1,Yes,Private,Urban,227.16,41.7,never smoked,0 +71016,Female,68,0,0,Yes,Private,Rural,58.69,26.2,formerly smoked,0 +33768,Female,16,0,0,No,Self-employed,Urban,88.85,27.1,Unknown,0 +62681,Female,38,1,0,Yes,Private,Urban,137.94,41.8,never smoked,0 +41007,Female,39,0,0,Yes,Private,Urban,60.6,34.2,never smoked,0 +35450,Female,51,0,0,Yes,Private,Rural,93.67,19.2,never smoked,0 +62793,Male,37,0,0,Yes,Private,Urban,79.56,25.2,never smoked,0 +66592,Male,16,0,0,No,Private,Rural,122.46,18.7,never smoked,0 +33462,Male,39,0,0,Yes,Private,Urban,92.32,43,never smoked,0 +29804,Male,24,1,0,Yes,Private,Rural,80.63,28.2,smokes,0 +33906,Male,51,0,0,Yes,Govt_job,Urban,92.32,34.7,smokes,0 +43510,Female,50,1,0,Yes,Govt_job,Urban,59.89,25.5,never smoked,0 +21202,Female,27,0,0,Yes,Private,Urban,80.57,39.8,smokes,0 +7222,Female,73,0,0,Yes,Self-employed,Urban,88.52,20.8,formerly smoked,0 +13561,Female,65,0,0,Yes,Private,Urban,88.82,28.2,formerly smoked,0 +29179,Female,76,1,1,Yes,Private,Rural,102.08,31,smokes,0 +5511,Male,66,0,0,Yes,Self-employed,Urban,71.38,N/A,formerly smoked,0 +20825,Female,53,0,0,Yes,Govt_job,Rural,84.9,21.6,never smoked,0 +67144,Female,65,0,0,Yes,Self-employed,Urban,82.21,26.2,Unknown,0 +15515,Female,48,0,0,Yes,Self-employed,Rural,209.9,N/A,smokes,0 +3753,Male,31,0,0,Yes,Private,Urban,74.05,26,Unknown,0 +27279,Male,1.72,0,0,No,children,Urban,90.46,22.5,Unknown,0 +48759,Female,45,0,0,Yes,Private,Rural,176.48,24,formerly smoked,0 +69524,Male,56,0,0,Yes,Self-employed,Urban,94.07,31.5,never smoked,0 +28443,Male,62,0,0,Yes,Self-employed,Urban,85.12,36.3,formerly smoked,0 +38578,Female,35,0,0,No,Private,Urban,71.81,25.4,Unknown,0 +66502,Male,16,0,0,No,Private,Rural,111.93,32.2,never smoked,0 +50978,Female,31,0,0,Yes,Govt_job,Urban,94.4,39.8,Unknown,0 +9034,Male,5,0,0,No,children,Urban,70,18.6,Unknown,0 +16582,Male,26,0,0,Yes,Private,Rural,95.57,30.7,smokes,0 +28500,Male,10,0,0,No,children,Urban,91.98,16.4,Unknown,0 +70241,Female,22,0,0,No,Private,Urban,66.29,20.5,smokes,0 +32452,Female,82,0,1,Yes,Self-employed,Rural,211.88,28.7,never smoked,0 +45573,Female,50,0,0,Yes,Private,Rural,76.55,29,smokes,0 +64412,Female,47,0,0,Yes,Private,Urban,56.67,24.4,never smoked,0 +66647,Male,31,0,0,Yes,Private,Rural,100.52,29.9,Unknown,0 +39450,Male,22,0,0,No,Private,Rural,58.96,25.3,Unknown,0 +57109,Female,12,0,0,No,children,Rural,81.66,23.5,formerly smoked,0 +3591,Female,63,1,0,Yes,Private,Rural,96.77,20.5,never smoked,0 +25138,Female,78,1,0,Yes,Private,Rural,91.63,33.5,smokes,0 +17277,Male,4,0,0,No,children,Urban,97.51,22,Unknown,0 +35333,Male,76,1,0,Yes,Private,Rural,225.6,29,never smoked,0 +18861,Male,32,0,0,No,Private,Rural,95.58,N/A,smokes,0 +15120,Female,81,1,0,Yes,Self-employed,Rural,210.23,30.7,never smoked,0 +29221,Female,39,0,0,Yes,Private,Urban,92.82,37.4,never smoked,0 +11412,Female,59,0,0,Yes,Private,Rural,234.82,51.8,never smoked,0 +38858,Male,2,0,0,No,children,Rural,65.67,16.6,Unknown,0 +6802,Female,37,0,0,Yes,Private,Urban,74.51,29.5,Unknown,0 +8644,Female,78,0,1,Yes,Private,Rural,81.99,27.3,formerly smoked,0 +54579,Female,75,0,0,Yes,Self-employed,Urban,87.69,27.5,formerly smoked,0 +41935,Male,34,0,0,No,Private,Rural,125.29,33.9,never smoked,0 +17926,Female,48,0,0,Yes,Govt_job,Rural,111.64,27.9,Unknown,0 +13862,Female,13,0,0,No,Never_worked,Urban,70.93,22.9,never smoked,0 +64523,Male,54,1,0,Yes,Private,Urban,89.93,32.1,never smoked,0 +66065,Male,13,0,0,No,children,Rural,137.45,18.2,Unknown,0 +71869,Female,24,0,0,No,Private,Rural,72.06,30.2,formerly smoked,0 +11024,Female,76,0,0,Yes,Private,Rural,97.9,31.3,formerly smoked,0 +46035,Male,1,0,0,No,children,Urban,84.85,20.3,Unknown,0 +24630,Male,57,0,0,Yes,Private,Rural,230.59,23.2,formerly smoked,0 +11238,Male,46,0,0,Yes,Private,Rural,92.81,30.8,Unknown,0 +54946,Female,26,0,0,No,Private,Urban,168.15,22.9,never smoked,0 +24229,Female,56,0,0,Yes,Self-employed,Urban,224.63,42.8,never smoked,0 +29934,Male,34,0,0,Yes,Private,Urban,108.12,22.2,Unknown,0 +28998,Male,25,0,0,No,Private,Rural,85.17,28.7,smokes,0 +19805,Male,60,0,0,No,Private,Urban,84.14,32.3,never smoked,0 +63668,Male,22,0,0,No,Private,Rural,85.57,24.2,formerly smoked,0 +24876,Male,35,0,0,Yes,Private,Urban,82.81,23.9,never smoked,0 +34719,Male,48,1,0,No,Private,Urban,110.53,34.2,never smoked,0 +48769,Female,38,0,0,Yes,Private,Rural,61.88,29,Unknown,0 +22536,Female,12,0,0,No,children,Urban,85.04,29.9,never smoked,0 +8760,Female,22,0,0,No,Private,Urban,140.4,23,smokes,0 +53126,Female,0.64,0,0,No,children,Urban,62.27,17.3,Unknown,0 +18179,Male,13,0,0,No,Private,Rural,99.44,21,never smoked,0 +38242,Female,78,0,1,Yes,Self-employed,Rural,88.9,34.3,Unknown,0 +68708,Female,23,0,0,No,Private,Urban,64.1,19.8,Unknown,0 +12366,Female,35,0,0,No,Private,Urban,97.58,24.3,Unknown,0 +42465,Female,78,1,0,Yes,Private,Rural,58.66,16.4,never smoked,0 +24638,Male,50,0,0,Yes,Govt_job,Urban,88.24,32.6,Unknown,0 +58587,Male,61,0,0,Yes,Private,Urban,61.32,23.7,smokes,0 +9170,Male,60,0,0,Yes,Self-employed,Urban,185.71,N/A,Unknown,0 +36545,Male,43,0,0,Yes,Private,Rural,62.99,27,formerly smoked,0 +19467,Male,60,1,0,Yes,Private,Urban,86.04,25.6,smokes,0 +16868,Female,51,0,0,Yes,Private,Rural,83.3,34,formerly smoked,0 +47608,Female,21,0,0,No,Private,Urban,208.17,24.9,never smoked,0 +38440,Male,16,0,0,No,Private,Rural,133.2,26.3,Unknown,0 +23543,Female,25,0,0,No,Private,Rural,81.54,43.1,Unknown,0 +65396,Female,36,0,0,Yes,Private,Rural,146.61,39.6,never smoked,0 +34621,Female,8,0,0,No,children,Urban,79.33,15.2,Unknown,0 +23561,Female,48,0,0,Yes,Private,Rural,84.56,41.8,never smoked,0 +16091,Male,14,0,0,No,Private,Rural,103.44,20.1,never smoked,0 +63597,Female,60,0,0,Yes,Private,Urban,185.31,39.3,never smoked,0 +57533,Male,61,1,0,Yes,Private,Urban,102.53,28.3,formerly smoked,0 +59370,Female,60,0,0,Yes,Private,Urban,65.78,27.5,Unknown,0 +57285,Male,56,0,0,No,Private,Rural,62.6,33.9,never smoked,0 +17515,Female,9,0,0,No,children,Rural,81.18,20,Unknown,0 +23988,Female,45,0,0,Yes,Private,Rural,76.68,34.8,smokes,0 +34958,Male,14,0,0,No,children,Urban,92.86,20.7,formerly smoked,0 +30620,Male,37,0,0,No,Private,Urban,90.95,24.6,smokes,0 +31811,Female,52,0,1,Yes,Private,Urban,85.66,39.4,never smoked,0 +1818,Female,30,0,0,No,Govt_job,Urban,88.2,N/A,smokes,0 +5478,Female,60,0,0,Yes,Self-employed,Urban,203.04,N/A,smokes,0 +26830,Female,47,0,0,Yes,Self-employed,Rural,68.37,29.4,smokes,0 +25883,Female,82,1,0,Yes,Self-employed,Urban,77.32,24.8,Unknown,0 +43657,Male,64,0,0,Yes,Govt_job,Rural,187.87,32.3,never smoked,0 +71917,Male,12,0,0,No,children,Rural,213.87,25.3,never smoked,0 +61299,Female,79,1,0,Yes,Private,Rural,119.62,39,Unknown,0 +24603,Male,77,0,0,Yes,Private,Urban,222.85,29.4,formerly smoked,0 +70654,Female,25,0,0,No,Private,Rural,100.82,31.9,Unknown,0 +49485,Female,26,0,0,No,Private,Rural,136.1,26.4,Unknown,0 +61641,Male,14,0,0,No,children,Rural,149.42,20.6,Unknown,0 +12600,Female,42,0,0,Yes,Self-employed,Rural,79.99,26.3,never smoked,0 +11566,Male,37,0,0,Yes,Private,Rural,118.21,23.6,Unknown,0 +72108,Male,8,0,0,No,children,Rural,56.3,18,Unknown,0 +35117,Female,78,0,0,Yes,Self-employed,Rural,84.49,26.4,never smoked,0 +22967,Male,18,0,0,No,Private,Rural,89.61,22,never smoked,0 +28913,Male,78,0,0,Yes,Private,Rural,100.09,30.5,Unknown,0 +70857,Female,55,0,0,Yes,Govt_job,Urban,198.36,29.1,smokes,0 +42229,Female,68,0,0,Yes,Self-employed,Rural,93.61,24.9,never smoked,0 +23459,Female,47,0,0,Yes,Private,Rural,75.43,36.4,smokes,0 +2209,Female,47,0,0,Yes,Govt_job,Urban,100.31,31.2,smokes,0 +38673,Female,51,0,0,Yes,Private,Rural,105.63,32.8,never smoked,0 +42184,Male,43,0,0,Yes,Self-employed,Rural,82.84,31.6,never smoked,0 +59250,Female,78,0,0,Yes,Govt_job,Urban,58.88,35.8,Unknown,0 +29525,Male,63,0,0,Yes,Private,Urban,92.27,35.2,formerly smoked,0 +42713,Female,45,0,0,Yes,Private,Urban,115.23,28,never smoked,0 +16066,Female,53,1,1,Yes,Private,Urban,196.25,24.9,smokes,0 +33692,Female,12,0,0,No,children,Rural,85.97,35.7,Unknown,0 +29232,Female,56,0,0,Yes,Private,Urban,114.33,30.7,smokes,0 +70122,Female,29,0,0,Yes,Private,Rural,72.52,33.9,never smoked,0 +25305,Male,10,0,0,No,children,Rural,99.87,N/A,formerly smoked,0 +66110,Female,55,0,0,Yes,Private,Rural,63.47,27.8,Unknown,0 +69461,Female,49,0,0,Yes,Govt_job,Urban,90.58,23.2,Unknown,0 +7885,Female,23,0,0,No,Private,Rural,92.26,17.1,Unknown,0 +60050,Female,53,0,0,Yes,Self-employed,Urban,113.74,31.6,smokes,0 +21608,Male,56,1,0,Yes,Govt_job,Urban,72.79,23.8,smokes,0 +32150,Female,56,0,0,Yes,Self-employed,Rural,94.71,29.6,smokes,0 +48069,Female,61,0,0,Yes,Private,Rural,194.53,45,never smoked,0 +24066,Female,45,0,0,Yes,Private,Urban,72.65,25.6,Unknown,0 +39242,Male,80,1,1,Yes,Private,Urban,86.68,27.7,formerly smoked,0 +57618,Female,47,0,0,Yes,Self-employed,Rural,140.39,25.5,never smoked,0 +14599,Female,3,0,0,No,children,Rural,77.87,18.3,Unknown,0 +27479,Male,63,0,0,Yes,Self-employed,Rural,104.7,21,formerly smoked,0 +10238,Female,68,1,0,Yes,Private,Urban,95.82,28.6,never smoked,0 +49014,Female,76,0,0,Yes,Govt_job,Urban,204.05,23.5,never smoked,0 +67063,Male,62,0,0,Yes,Self-employed,Urban,130.56,36.1,Unknown,0 +38488,Female,30,0,0,Yes,Private,Urban,67.78,29.2,smokes,0 +33298,Female,44,0,0,Yes,Private,Urban,105.29,27.6,formerly smoked,0 +48739,Male,47,0,0,Yes,Self-employed,Urban,135.19,36,smokes,0 +52428,Male,25,0,0,No,Private,Urban,116.12,20.4,smokes,0 +61171,Female,31,0,0,No,Private,Rural,59.63,19.9,never smoked,0 +40878,Male,71,0,0,Yes,Self-employed,Rural,56.43,29.2,formerly smoked,0 +61247,Female,32,0,0,No,Private,Rural,199.18,27.9,never smoked,0 +27799,Male,72,0,0,Yes,Private,Rural,209.26,38.1,formerly smoked,0 +2824,Female,44,0,0,Yes,Govt_job,Urban,91.21,24.1,never smoked,0 +12376,Male,63,0,0,Yes,Govt_job,Urban,95.16,37.8,formerly smoked,0 +72435,Female,37,0,0,Yes,Private,Urban,217.11,29.1,never smoked,0 +46864,Male,54,0,1,Yes,Govt_job,Urban,222.46,35.7,never smoked,0 +2019,Male,20,0,0,No,Private,Rural,70.96,N/A,Unknown,0 +26154,Male,56,0,0,Yes,Private,Rural,82.44,34.5,never smoked,0 +47972,Female,25,0,0,No,Govt_job,Rural,74.11,34.1,smokes,0 +47751,Female,19,0,0,No,Private,Urban,131.23,21.1,Unknown,0 +25405,Male,62,0,0,Yes,Govt_job,Urban,187.52,57.7,never smoked,0 +34525,Female,27,0,0,No,Private,Rural,83.26,22.2,never smoked,0 +13755,Male,5,0,0,No,children,Rural,99.07,20.5,Unknown,0 +56019,Female,20,0,0,No,Private,Urban,76.63,26.2,never smoked,0 +67942,Male,21,0,0,No,Private,Rural,65.09,23.5,never smoked,0 +43806,Male,44,0,0,Yes,Private,Urban,142.31,29.1,smokes,0 +39849,Male,39,1,0,No,Private,Urban,80.99,39.8,Unknown,0 +7344,Male,38,0,0,Yes,Govt_job,Rural,237.74,21.2,never smoked,0 +1741,Male,77,0,0,Yes,Private,Urban,74.26,N/A,formerly smoked,0 +52220,Female,26,0,0,No,Private,Rural,154.08,20.2,formerly smoked,0 +20129,Male,51,0,0,Yes,Private,Rural,78.29,30.8,never smoked,0 +61178,Male,39,0,0,Yes,Private,Urban,164.67,33.8,Unknown,0 +48226,Female,5,0,0,No,children,Rural,59.61,17.1,Unknown,0 +1151,Female,59,0,0,Yes,Self-employed,Urban,67.75,21.3,formerly smoked,0 +6672,Male,67,0,0,Yes,Private,Urban,92.73,N/A,never smoked,0 +10333,Female,45,0,0,Yes,Private,Urban,90.35,22.3,never smoked,0 +11134,Male,43,0,0,Yes,Private,Rural,77.86,28.9,never smoked,0 +25199,Female,80,0,0,Yes,Private,Rural,71.88,26.7,never smoked,0 +66490,Male,42,1,0,Yes,Govt_job,Urban,118.82,41,smokes,0 +10390,Female,8,0,0,No,children,Urban,67.33,16.7,Unknown,0 +33144,Female,68,0,0,No,Govt_job,Urban,121.66,29.1,smokes,0 +72497,Female,5,0,0,No,children,Rural,111.92,23.6,Unknown,0 +16783,Male,57,0,1,Yes,Self-employed,Urban,92.82,27.8,formerly smoked,0 +727,Male,44,0,0,Yes,Private,Rural,95.46,31.4,smokes,0 +51935,Male,16,0,0,No,Never_worked,Urban,59.99,28.2,never smoked,0 +44177,Female,60,0,0,Yes,Self-employed,Rural,68.96,30.8,Unknown,0 +2421,Female,58,0,0,Yes,Private,Urban,90.26,36.1,never smoked,0 +48693,Female,43,0,0,Yes,Private,Rural,91.9,32.7,formerly smoked,0 +5723,Female,50,0,0,Yes,Private,Urban,91.08,26.4,never smoked,0 +29470,Female,1.48,0,0,No,children,Rural,118.55,20.7,Unknown,0 +71590,Female,5,0,0,No,children,Rural,102.04,18.5,Unknown,0 +16600,Male,9,0,0,No,children,Rural,65.52,33.5,Unknown,0 +28309,Female,67,0,0,Yes,Private,Urban,82.09,14.1,never smoked,0 +41911,Female,21,0,0,Yes,Private,Rural,149.9,23.4,Unknown,0 +3390,Female,36,0,0,Yes,Private,Rural,100.33,23.2,never smoked,0 +31806,Female,70,0,0,Yes,Private,Urban,91.25,36,Unknown,0 +68750,Male,57,0,0,Yes,Private,Rural,89.81,35.6,never smoked,0 +32840,Female,52,0,0,Yes,Private,Urban,97.32,21.8,smokes,0 +49797,Female,28,0,0,No,Private,Rural,75.53,34.9,never smoked,0 +72096,Female,41,0,0,Yes,Private,Rural,121.44,20.4,never smoked,0 +13503,Male,81,0,0,Yes,Self-employed,Urban,83.52,25,never smoked,0 +41536,Female,33,0,0,Yes,Govt_job,Rural,57.92,22.3,Unknown,0 +17441,Female,31,0,0,No,Self-employed,Rural,75.27,27.3,never smoked,0 +62238,Female,42,0,0,No,Private,Urban,80.24,28.9,never smoked,0 +737,Male,10,0,0,No,children,Urban,88.69,30.4,Unknown,0 +4627,Male,34,0,0,No,Private,Urban,69.09,36.9,formerly smoked,0 +47208,Female,70,0,0,Yes,Self-employed,Rural,62.67,27.7,never smoked,0 +6844,Male,33,0,0,Yes,Private,Urban,98.74,44.4,never smoked,0 +60001,Female,58,0,0,Yes,Private,Rural,56.51,28.2,smokes,0 +44503,Female,25,0,0,No,Private,Rural,65.95,35,never smoked,0 +44938,Female,1.4,0,0,No,children,Urban,129.07,20.6,Unknown,0 +40371,Female,47,0,0,Yes,Private,Urban,62.47,26.5,never smoked,0 +39011,Female,14,0,0,No,children,Urban,69.82,25.1,never smoked,0 +1460,Female,82,0,0,Yes,Private,Urban,99.68,22.2,Unknown,0 +48364,Male,52,0,0,Yes,Govt_job,Urban,223.35,27.3,formerly smoked,0 +30285,Male,72,0,1,Yes,Self-employed,Rural,74.36,27.3,never smoked,0 +21472,Male,52,0,1,Yes,Self-employed,Rural,102.97,41.9,formerly smoked,0 +71182,Female,61,1,0,Yes,Govt_job,Urban,153.38,38.8,never smoked,0 +33412,Female,15,0,0,No,Private,Rural,87.1,18.3,never smoked,0 +16061,Female,1.56,0,0,No,children,Urban,113.4,19.5,Unknown,0 +60266,Male,6,0,0,No,children,Rural,94.88,17.2,Unknown,0 +70965,Male,3,0,0,No,children,Urban,82.73,20.8,Unknown,0 +56736,Male,18,0,0,No,Private,Rural,67.8,23.8,Unknown,0 +6537,Female,53,0,0,Yes,Self-employed,Urban,84.85,24.7,never smoked,0 +41827,Male,58,0,0,Yes,Private,Rural,135.89,23.1,formerly smoked,0 +49480,Female,31,0,0,No,Private,Urban,106.13,22.4,never smoked,0 +36704,Female,29,0,0,Yes,Self-employed,Rural,74.33,29.9,smokes,0 +8884,Female,5,0,0,No,children,Rural,109.4,20,Unknown,0 +49775,Male,40,0,0,Yes,Private,Rural,75.4,28.7,Unknown,0 +25777,Male,75,0,0,Yes,Private,Rural,87.69,26.2,formerly smoked,0 +2070,Male,52,0,0,Yes,Private,Urban,95.85,29.6,smokes,0 +15752,Male,39,0,0,Yes,Private,Urban,90.36,30.8,formerly smoked,0 +45915,Female,40,0,0,No,Private,Rural,63.45,32.7,formerly smoked,0 +48775,Female,78,1,0,Yes,Self-employed,Rural,201.07,21.8,Unknown,0 +65697,Female,39,0,0,Yes,Private,Urban,122.91,35.7,never smoked,0 +65229,Female,17,0,0,No,Private,Rural,55.41,25.4,Unknown,0 +56889,Male,45,1,0,Yes,Private,Urban,60.99,32.8,Unknown,0 +6596,Male,0.56,0,0,No,children,Rural,111.77,21.1,Unknown,0 +46577,Female,13,0,0,No,Private,Urban,77.63,31.7,never smoked,0 +63455,Male,26,0,0,Yes,Private,Urban,70.61,20,never smoked,0 +21724,Female,42,0,0,Yes,Self-employed,Urban,124.34,34.7,formerly smoked,0 +29863,Male,44,0,0,No,Private,Urban,103.44,28,never smoked,0 +69249,Female,3,0,0,No,children,Urban,124.5,16.4,Unknown,0 +8968,Female,42,0,0,Yes,Private,Urban,208.06,N/A,smokes,0 +20310,Male,25,0,0,No,Govt_job,Urban,75.5,24.6,never smoked,0 +11450,Female,41,0,0,Yes,Self-employed,Urban,98.85,24.6,never smoked,0 +31999,Male,51,0,1,Yes,Private,Rural,96.06,30.3,Unknown,0 +34133,Female,20,0,0,No,Private,Rural,93.74,23.7,Unknown,0 +44202,Female,25,0,0,Yes,Private,Urban,65.6,33.5,never smoked,0 +72311,Male,18,0,0,No,Private,Urban,113.24,24.9,Unknown,0 +18704,Female,37,0,0,Yes,Private,Rural,94.77,48.9,Unknown,0 +36518,Female,51,0,0,Yes,Private,Urban,145.22,31.4,Unknown,0 +35651,Male,2,0,0,No,children,Urban,112.92,18.4,Unknown,0 +13749,Female,38,0,0,Yes,Private,Rural,84.79,24.2,formerly smoked,0 +21521,Male,64,0,1,Yes,Private,Urban,103.28,34.3,smokes,0 +27163,Female,60,1,0,Yes,Private,Urban,109,N/A,Unknown,0 +8882,Male,22,0,0,No,Govt_job,Rural,96.18,25.1,never smoked,0 +32016,Male,71,1,0,Yes,Private,Rural,186.95,33.3,never smoked,0 +14287,Female,32,0,0,Yes,Private,Urban,68.66,22.6,Unknown,0 +60139,Female,32,0,0,Yes,Self-employed,Rural,128.72,26.3,smokes,0 +2447,Female,63,0,0,Yes,Private,Urban,85.04,29.7,formerly smoked,0 +42500,Male,0.24,0,0,No,children,Rural,146.97,18.5,Unknown,0 +44391,Male,54,0,0,Yes,Private,Urban,65.69,21.4,never smoked,0 +12741,Female,25,0,0,Yes,Private,Rural,97.52,45.5,formerly smoked,0 +15418,Female,80,0,0,Yes,Self-employed,Rural,90.43,34.2,never smoked,0 +69482,Female,31,0,0,Yes,Govt_job,Urban,81.71,32.7,Unknown,0 +32270,Male,53,0,0,Yes,Private,Rural,198.24,38.1,never smoked,0 +50983,Male,35,0,0,Yes,Private,Rural,90.51,26.7,never smoked,0 +6493,Male,31,0,0,No,Private,Urban,97.78,22.6,smokes,0 +45399,Male,60,0,0,Yes,Private,Urban,80.74,27.7,Unknown,0 +67099,Male,0.56,0,0,No,children,Rural,57.02,20.7,Unknown,0 +19585,Female,21,0,0,No,Private,Rural,93,25.7,never smoked,0 +26247,Female,78,0,0,Yes,Private,Rural,95.37,17.3,Unknown,0 +25818,Male,59,0,0,Yes,Govt_job,Rural,96.25,23.3,formerly smoked,0 +34261,Male,0.64,0,0,No,children,Rural,86.74,16.2,Unknown,0 +64128,Male,10,0,0,No,children,Urban,63.08,20.5,smokes,0 +62817,Male,60,0,0,Yes,Private,Urban,129.16,33.6,smokes,0 +69339,Male,11,0,0,No,children,Urban,99.79,20.2,Unknown,0 +25919,Male,48,1,0,Yes,Self-employed,Urban,83.34,49.3,never smoked,0 +71978,Female,50,0,0,Yes,Private,Urban,95.01,26.2,formerly smoked,0 +1473,Male,69,1,0,Yes,Private,Urban,229.21,30.1,smokes,0 +66546,Female,20,0,0,No,Private,Urban,80.08,25.1,never smoked,0 +56584,Female,22,0,0,No,Private,Rural,62,32.7,smokes,0 +38316,Male,55,0,0,Yes,Private,Rural,118.69,26.4,Unknown,0 +15647,Female,57,0,0,No,Private,Rural,77.57,21,Unknown,0 +59933,Female,29,0,0,No,Private,Rural,108.75,24.1,Unknown,0 +3429,Female,32,0,0,No,Govt_job,Urban,108.23,20.4,Unknown,0 +60963,Female,54,0,0,Yes,Private,Rural,151.33,30.9,formerly smoked,0 +67689,Male,37,0,0,Yes,Self-employed,Rural,82.43,39.1,Unknown,0 +31689,Female,58,0,0,Yes,Private,Rural,107.17,27.7,Unknown,0 +23240,Female,41,0,0,Yes,Private,Rural,91.46,29.5,never smoked,0 +30850,Male,72,0,0,Yes,Private,Urban,81.05,30.3,Unknown,0 +38920,Male,0.48,0,0,No,children,Urban,73.02,N/A,Unknown,0 +66080,Female,32,0,0,No,Private,Urban,114.37,37.8,Unknown,0 +57263,Female,54,0,0,Yes,Private,Urban,100.29,30.2,never smoked,0 +60126,Female,79,0,0,Yes,Private,Urban,68.37,24.2,smokes,0 +64393,Male,56,0,0,No,Self-employed,Rural,87.95,25.2,never smoked,0 +69285,Female,45,0,0,Yes,Private,Urban,73.27,22.2,smokes,0 +24428,Male,6,0,0,No,children,Rural,131.43,17.7,Unknown,0 +59642,Female,45,0,0,Yes,Private,Urban,107.29,29.6,never smoked,0 +12064,Male,60,0,0,Yes,Private,Rural,68.24,32.2,Unknown,0 +59737,Female,65,0,0,Yes,Private,Urban,74.01,28.7,smokes,0 +19352,Female,57,0,0,Yes,Private,Urban,95.4,19.5,Unknown,0 +61903,Male,58,0,0,No,Govt_job,Rural,95.75,38.5,smokes,0 +47701,Male,8,0,0,No,children,Urban,104.51,20.6,Unknown,0 +15225,Male,18,0,0,No,Private,Rural,108.87,21.5,Unknown,0 +66431,Male,49,0,0,Yes,Private,Urban,209.06,43.8,Unknown,0 +57236,Male,2,0,0,No,children,Rural,86.57,18,Unknown,0 +48453,Female,52,0,0,Yes,Private,Urban,120.25,28.2,Unknown,0 +8031,Female,63,0,0,Yes,Self-employed,Rural,85.51,26.6,smokes,0 +39139,Female,57,0,0,Yes,Private,Rural,84.18,35.5,never smoked,0 +4838,Female,50,0,0,Yes,Govt_job,Urban,82.37,30.7,never smoked,0 +22689,Male,12,0,0,No,children,Rural,96.15,18.7,Unknown,0 +37752,Female,35,0,0,Yes,Private,Rural,74.55,22.4,never smoked,0 +32320,Female,35,0,0,Yes,Self-employed,Urban,114.45,25.2,smokes,0 +14889,Male,64,0,0,Yes,Govt_job,Rural,113.68,24.2,never smoked,0 +13964,Female,42,0,0,Yes,Private,Rural,107.91,20.5,never smoked,0 +31746,Female,62,0,0,Yes,Private,Rural,83.85,24.5,never smoked,0 +17492,Female,3,0,0,No,children,Urban,101.3,24.8,Unknown,0 +1499,Female,43,0,0,Yes,Govt_job,Rural,72.13,42.6,never smoked,0 +34396,Female,52,1,0,Yes,Private,Urban,94.98,23.8,never smoked,0 +36750,Male,64,1,0,Yes,Private,Rural,228.42,42.3,formerly smoked,0 +68816,Male,59,0,0,Yes,Private,Rural,93.9,42.2,never smoked,0 +16129,Female,81,0,0,Yes,Self-employed,Urban,93.13,26.1,Unknown,0 +64006,Female,15,0,0,No,Private,Urban,121.6,22.8,never smoked,0 +51845,Male,50,0,0,Yes,Govt_job,Rural,84.4,42.3,formerly smoked,0 +30692,Male,73,0,0,Yes,Private,Rural,82.13,28.5,never smoked,0 +65712,Male,19,0,0,No,Private,Urban,73.33,23,never smoked,0 +42161,Female,30,0,0,Yes,Private,Urban,75.88,32.8,Unknown,0 +16938,Female,40,0,0,Yes,Self-employed,Rural,212.97,49.8,formerly smoked,0 +16113,Female,47,0,0,Yes,Govt_job,Rural,100.41,23.8,never smoked,0 +29388,Female,66,0,0,Yes,Private,Urban,202.05,31.7,smokes,0 +65109,Male,47,0,0,Yes,Private,Urban,71.42,34.9,smokes,0 +61242,Female,41,1,0,Yes,Govt_job,Rural,107.5,54,never smoked,0 +65252,Female,63,0,0,Yes,Govt_job,Rural,55.57,26.8,formerly smoked,0 +49615,Female,12,0,0,No,children,Urban,58.14,21.3,never smoked,0 +63511,Male,1.32,0,0,No,children,Rural,78.53,19.8,Unknown,0 +14089,Female,46,0,0,Yes,Private,Urban,78.79,42.4,smokes,0 +16987,Female,8,0,0,No,children,Urban,96.62,16.4,Unknown,0 +53399,Male,74,0,0,Yes,Private,Rural,65.28,28.2,never smoked,0 +36946,Male,74,0,0,Yes,Private,Rural,92.67,26.3,formerly smoked,0 +55522,Female,4,0,0,No,children,Rural,206.25,17,Unknown,0 +27954,Female,26,0,0,No,Private,Urban,114.18,23.3,never smoked,0 +5355,Male,63,0,0,Yes,Govt_job,Rural,231.69,56.1,formerly smoked,0 +69069,Female,48,0,1,No,Private,Rural,101.89,25.1,smokes,0 +11539,Female,24,1,0,No,Private,Urban,107.22,35.3,smokes,0 +16847,Male,47,0,0,No,Private,Rural,101.99,36.3,never smoked,0 +15873,Male,70,0,0,Yes,Private,Rural,72.56,30.4,formerly smoked,0 +15415,Male,41,1,1,Yes,Private,Urban,94.47,43.9,never smoked,0 +22891,Female,42,0,0,Yes,Self-employed,Urban,98.76,26.4,smokes,0 +7394,Female,57,1,0,No,Private,Rural,116.93,28.3,never smoked,0 +29915,Female,51,0,0,No,Private,Rural,219.96,42.3,never smoked,0 +62607,Male,15,0,0,No,Private,Urban,75.77,38,never smoked,0 +24404,Male,11,0,0,No,children,Urban,124.35,32.7,Unknown,0 +69666,Female,27,0,0,Yes,Self-employed,Urban,88.97,28.8,never smoked,0 +54997,Female,53,0,0,Yes,Self-employed,Rural,72.49,38.5,never smoked,0 +6199,Female,52,0,0,Yes,Govt_job,Rural,107.27,30.1,Unknown,0 +4635,Female,68,0,0,Yes,Private,Rural,97.96,31.3,never smoked,0 +3305,Male,65,0,0,Yes,Private,Urban,197.69,28.4,smokes,0 +24342,Female,23,0,0,No,Private,Rural,112.3,26.6,Unknown,0 +65093,Female,43,0,0,Yes,Self-employed,Urban,75.77,20.4,formerly smoked,0 +46261,Male,55,0,0,Yes,Private,Urban,76.51,34.7,Unknown,0 +42624,Female,52,0,0,Yes,Private,Urban,93.14,32.5,never smoked,0 +24735,Female,21,0,0,No,Private,Rural,80.84,30.7,Unknown,0 +50671,Male,78,1,1,Yes,Self-employed,Rural,199.88,29.6,formerly smoked,0 +1679,Male,35,0,0,Yes,Private,Rural,77.48,N/A,formerly smoked,0 +66680,Female,49,1,0,Yes,Private,Rural,65.34,39.4,never smoked,0 +34248,Male,50,1,0,No,Private,Urban,81.96,N/A,formerly smoked,0 +65336,Female,27,0,0,Yes,Private,Urban,98.71,26.1,formerly smoked,0 +68333,Female,52,1,0,No,Private,Rural,170.22,27.2,formerly smoked,0 +60210,Female,22,0,0,No,Private,Urban,73.5,41.3,smokes,0 +11573,Female,19,0,0,No,Private,Rural,72.39,N/A,smokes,0 +67890,Male,77,0,1,Yes,Private,Urban,102.96,20.9,formerly smoked,0 +49254,Male,57,1,0,Yes,Private,Urban,80.72,41.5,formerly smoked,0 +9199,Male,13,0,0,No,Self-employed,Urban,74.19,31.1,formerly smoked,0 +35402,Male,14,0,0,No,Private,Urban,77.12,24.5,formerly smoked,0 +25996,Female,29,0,0,Yes,Private,Urban,81.2,23,Unknown,0 +8345,Female,49,0,0,Yes,Private,Rural,114.76,24.7,never smoked,0 +63219,Male,1.24,0,0,No,children,Urban,109.97,19.3,Unknown,0 +8770,Male,21,0,0,No,Self-employed,Urban,92.87,37,never smoked,0 +22370,Male,36,1,0,No,Govt_job,Urban,113.05,31,smokes,0 +25930,Male,42,0,0,Yes,Private,Urban,68.24,33.1,formerly smoked,0 +33478,Female,56,0,0,No,Private,Rural,74.35,26.6,smokes,0 +23009,Male,46,0,0,Yes,Private,Urban,91.08,27.7,never smoked,0 +24885,Male,79,0,1,Yes,Self-employed,Urban,88.83,40.3,smokes,0 +58591,Female,25,0,0,No,Private,Rural,134.33,19.5,Unknown,0 +44777,Male,67,0,0,Yes,Private,Rural,208.78,26.7,Unknown,0 +46363,Male,37,0,0,Yes,Private,Rural,66.17,26.1,never smoked,0 +36377,Female,44,0,0,Yes,Private,Rural,222.29,38.2,never smoked,0 +15440,Female,36,0,0,Yes,Private,Rural,114.16,21.3,smokes,0 +56420,Male,17,1,0,No,Private,Rural,61.67,97.6,Unknown,0 +39531,Male,50,1,0,Yes,Private,Rural,220.36,40.9,formerly smoked,0 +55220,Male,53,0,0,Yes,Private,Urban,76.03,27.3,never smoked,0 +30731,Female,39,0,0,No,Self-employed,Urban,73.06,20.9,never smoked,0 +14479,Female,71,0,1,Yes,Private,Urban,187.88,29.2,formerly smoked,0 +40471,Female,18,0,0,No,Private,Urban,79.89,17.9,Unknown,0 +7384,Male,55,0,0,No,Self-employed,Rural,79.02,38,Unknown,0 +53422,Male,52,0,0,Yes,Private,Rural,191.66,26.1,smokes,0 +59745,Female,27,0,0,Yes,Private,Urban,76.74,53.9,Unknown,0 +24721,Male,24,0,0,No,Private,Urban,72.29,22.2,Unknown,0 +9644,Male,72,0,0,Yes,Private,Urban,92.59,24.6,formerly smoked,0 +50837,Male,41,0,0,Yes,Self-employed,Rural,80.42,33.4,formerly smoked,0 +67941,Female,29,0,0,No,Self-employed,Rural,62.47,34.4,formerly smoked,0 +43590,Female,26,0,0,Yes,Private,Rural,63.94,17.6,never smoked,0 +29014,Female,23,0,0,Yes,Private,Rural,77.73,19.2,never smoked,0 +66051,Male,43,0,0,Yes,Self-employed,Rural,115.79,31.8,Unknown,0 +70783,Female,43,0,0,Yes,Private,Urban,96.3,28.1,smokes,0 +10716,Female,49,0,0,Yes,Private,Rural,107.46,32.1,never smoked,0 +7868,Male,13,0,0,No,children,Rural,108.33,17.4,never smoked,0 +58350,Female,26,0,0,No,Govt_job,Rural,89.37,20.2,never smoked,0 +18927,Female,10,0,0,No,children,Urban,93.64,23.4,Unknown,0 +19550,Male,39,0,0,Yes,Private,Urban,217.75,39.5,never smoked,0 +31372,Female,41,0,0,Yes,Private,Rural,83.44,21.5,Unknown,0 +55262,Male,25,0,0,Yes,Private,Rural,93.88,24.3,smokes,0 +50238,Male,10,0,0,No,children,Urban,55.34,15.3,Unknown,0 +2868,Female,54,0,0,Yes,Govt_job,Rural,102.61,32.4,Unknown,0 +51343,Male,7,0,0,No,children,Rural,62.08,16.1,Unknown,0 +56324,Female,53,0,0,Yes,Self-employed,Rural,81.76,34.3,formerly smoked,0 +42047,Female,55,0,0,Yes,Self-employed,Urban,59.2,43.8,never smoked,0 +36486,Male,6,0,0,No,children,Urban,55.61,19.6,Unknown,0 +62456,Female,72,0,0,Yes,Self-employed,Urban,226.88,36.7,formerly smoked,0 +64980,Female,42,0,0,Yes,Govt_job,Urban,65.66,33.7,never smoked,0 +65962,Male,50,0,0,Yes,Private,Urban,58.7,38.9,smokes,0 +47521,Female,55,1,0,Yes,Govt_job,Urban,186.4,28,never smoked,0 +41501,Female,47,0,0,Yes,Govt_job,Urban,122.32,23.9,Unknown,0 +47582,Male,3,0,0,No,children,Urban,59.05,16.6,Unknown,0 +63938,Female,49,0,0,Yes,Self-employed,Urban,149.13,42.9,smokes,0 +49627,Female,12,0,0,No,children,Urban,82.39,17.1,never smoked,0 +61291,Male,28,0,0,Yes,Private,Rural,169.49,27.2,Unknown,0 +53032,Male,40,0,0,Yes,Private,Rural,80.25,30.3,formerly smoked,0 +45040,Male,55,0,0,Yes,Private,Urban,203.81,33.9,formerly smoked,0 +56791,Male,9,0,0,No,children,Urban,170.76,20,Unknown,0 +37320,Female,77,0,0,Yes,Private,Rural,80.85,19.4,Unknown,0 +72514,Male,18,0,0,No,Private,Rural,120.58,21.5,never smoked,0 +3842,Male,73,0,0,Yes,Private,Rural,86.57,28.5,formerly smoked,0 +38143,Female,67,1,0,Yes,Private,Urban,90.01,34.4,smokes,0 +54296,Male,58,0,0,Yes,Self-employed,Rural,68.84,43.7,formerly smoked,0 +48435,Female,2,0,0,No,children,Rural,155.14,13.7,Unknown,0 +42212,Female,38,0,0,Yes,Private,Urban,158.48,33.7,formerly smoked,0 +47607,Male,5,0,0,No,children,Rural,92.56,18,Unknown,0 +16535,Female,34,0,0,No,Private,Rural,90.15,27.9,formerly smoked,0 +66677,Male,78,0,0,Yes,Private,Rural,80.09,21.8,never smoked,0 +57270,Female,57,0,0,Yes,Private,Rural,189.44,35.8,never smoked,0 +22414,Female,17,0,0,No,Private,Rural,70.03,23.1,smokes,0 +63401,Female,71,0,0,Yes,Self-employed,Rural,249.29,30.3,smokes,0 +32252,Female,19,0,0,No,Private,Rural,72.52,32,Unknown,0 +17950,Male,56,0,0,Yes,Private,Urban,96.93,25,smokes,0 +53990,Male,64,0,1,Yes,Private,Urban,211.35,30.7,formerly smoked,0 +20565,Male,13,0,0,No,children,Rural,85.87,24.3,Unknown,0 +59993,Male,40,0,0,Yes,Private,Rural,60.96,11.5,never smoked,0 +42830,Male,80,0,1,Yes,Private,Urban,120.09,30.7,never smoked,0 +34721,Female,62,1,0,Yes,Govt_job,Urban,92.13,33.7,never smoked,0 +5157,Male,79,1,0,Yes,Self-employed,Urban,83.07,26.5,smokes,0 +48851,Female,9,0,0,No,children,Rural,77.67,17.6,Unknown,0 +26084,Female,77,1,0,Yes,Self-employed,Urban,109.51,N/A,never smoked,0 +23413,Female,26,0,0,No,Private,Urban,97.24,22.5,never smoked,0 +49970,Male,1.72,0,0,No,children,Rural,127.29,18.5,Unknown,0 +72414,Male,16,0,0,No,Private,Urban,134.8,22.4,never smoked,0 +21374,Female,40,0,0,Yes,Private,Urban,74.65,25.3,formerly smoked,0 +69623,Male,46,0,0,Yes,Private,Urban,85.84,37.3,never smoked,0 +40378,Male,45,1,0,Yes,Self-employed,Urban,90.43,39.7,smokes,0 +4671,Female,59,0,0,No,Private,Urban,74.35,28,never smoked,0 +17295,Female,31,0,0,Yes,Self-employed,Urban,206.59,41.4,smokes,0 +55466,Female,69,0,1,Yes,Private,Urban,196.33,25.3,never smoked,0 +65419,Male,73,0,1,Yes,Govt_job,Rural,70.23,28.1,never smoked,0 +34448,Female,56,0,0,Yes,Self-employed,Urban,242.94,41.2,never smoked,0 +14406,Female,80,0,1,Yes,Self-employed,Rural,103.06,28.8,never smoked,0 +924,Female,60,0,0,Yes,Govt_job,Urban,80.86,31,smokes,0 +71339,Female,40,0,0,Yes,Govt_job,Urban,114.32,28.3,smokes,0 +31443,Female,30,0,0,Yes,Govt_job,Urban,83.91,23.9,Unknown,0 +49672,Female,66,0,0,Yes,Govt_job,Rural,152.02,44.2,formerly smoked,0 +394,Male,78,1,0,Yes,Self-employed,Rural,75.19,27.6,never smoked,0 +63362,Female,37,0,0,Yes,Private,Urban,60.61,35.7,formerly smoked,0 +59928,Female,41,0,0,Yes,Self-employed,Rural,89.14,37.4,formerly smoked,0 +62289,Female,34,0,0,Yes,Private,Urban,97.23,27.5,Unknown,0 +59464,Female,18,0,0,No,Private,Rural,135.19,23.4,never smoked,0 +18680,Male,69,0,0,Yes,Self-employed,Urban,78.48,25.8,formerly smoked,0 +19439,Male,67,0,1,Yes,Private,Rural,97.24,N/A,Unknown,0 +27017,Male,28,0,0,No,Private,Urban,75.92,22.8,never smoked,0 +8277,Female,3,0,0,No,children,Urban,93.3,19.5,Unknown,0 +14099,Female,57,0,0,Yes,Govt_job,Urban,97.39,38,Unknown,0 +37128,Male,34,0,0,Yes,Private,Rural,134.61,23.4,never smoked,0 +57774,Male,50,0,0,Yes,Private,Rural,104.02,29.5,never smoked,0 +64033,Male,55,0,1,No,Private,Urban,56.9,28.2,never smoked,0 +72701,Male,2,0,0,No,children,Rural,112.66,14.2,Unknown,0 +59130,Female,27,0,0,No,Private,Rural,226.75,28.9,Unknown,0 +48472,Male,57,0,0,Yes,Private,Rural,76.28,31.4,formerly smoked,0 +67956,Female,73,0,0,Yes,Private,Urban,90.01,32.4,formerly smoked,0 +35602,Female,52,0,0,Yes,Govt_job,Rural,107.84,22,formerly smoked,0 +13818,Female,65,0,0,Yes,Private,Rural,71.06,26.4,never smoked,0 +34661,Male,48,1,0,Yes,Private,Urban,185,26.1,never smoked,0 +64895,Male,54,1,0,Yes,Self-employed,Rural,104.42,37.6,smokes,0 +21969,Male,8,0,0,No,children,Urban,89.57,18.8,Unknown,0 +38320,Male,45,1,0,Yes,Private,Rural,136.2,23.8,Unknown,0 +42040,Female,48,0,0,Yes,Govt_job,Urban,128.23,49.4,never smoked,0 +31857,Female,77,0,0,Yes,Self-employed,Rural,104.23,23.8,smokes,0 +64494,Female,34,0,0,Yes,Private,Urban,133.82,20.4,never smoked,0 +34764,Female,33,0,0,Yes,Private,Rural,80.82,40.3,never smoked,0 +20673,Male,39,0,0,Yes,Private,Rural,102.35,23.6,never smoked,0 +64817,Male,39,0,0,Yes,Self-employed,Rural,88.48,34.3,never smoked,0 +72450,Male,40,0,0,Yes,Private,Rural,88.81,32.7,Unknown,0 +13988,Female,46,0,0,Yes,Private,Rural,75.09,28.7,never smoked,0 +54985,Female,1,0,0,No,children,Urban,199.83,24.5,Unknown,0 +6049,Female,5,0,0,No,children,Rural,73.69,24.8,Unknown,0 +13380,Male,14,0,0,No,children,Urban,111.27,23.2,Unknown,0 +64371,Female,49,0,0,Yes,Self-employed,Rural,68.44,23,smokes,0 +50295,Female,45,0,0,Yes,Private,Urban,65.36,39.3,never smoked,0 +14404,Female,13,0,0,No,children,Urban,94.12,20.1,never smoked,0 +58645,Female,76,0,0,Yes,Private,Rural,96.24,25.4,never smoked,0 +19419,Male,14,0,0,No,children,Rural,91.25,23.8,Unknown,0 +24518,Female,20,0,0,No,Private,Rural,77.29,28.4,never smoked,0 +53494,Female,9,0,0,No,children,Rural,125.09,15.4,Unknown,0 +42599,Female,78,0,1,Yes,Private,Urban,107.18,28.2,never smoked,0 +68370,Male,49,0,0,Yes,Private,Urban,130.07,26,never smoked,0 +57813,Female,55,0,0,Yes,Private,Urban,57.3,41.5,never smoked,0 +1329,Female,43,0,0,No,Govt_job,Rural,101.35,32.2,never smoked,0 +15255,Female,16,0,0,No,Private,Rural,94.03,25.7,never smoked,0 +65680,Male,58,0,1,Yes,Self-employed,Urban,227.81,33,formerly smoked,0 +32974,Male,67,0,0,Yes,Govt_job,Urban,66.67,35,smokes,0 +5863,Female,71,0,0,Yes,Private,Urban,240.81,27.4,never smoked,0 +10584,Male,8,0,0,No,children,Urban,88.02,16.4,Unknown,0 +38675,Female,18,0,0,No,Private,Urban,152.87,31.5,Unknown,0 +47600,Female,47,0,0,Yes,Private,Urban,96.04,29.2,Unknown,0 +48246,Male,59,0,0,Yes,Private,Urban,60.35,25.9,formerly smoked,0 +61743,Male,28,0,0,No,Govt_job,Urban,118.66,32.3,never smoked,0 +3879,Female,20,0,0,No,Private,Urban,89.03,N/A,smokes,0 +58086,Male,67,0,0,Yes,Private,Urban,58.51,30.4,formerly smoked,0 +53957,Male,71,0,0,Yes,Self-employed,Urban,96.04,45.1,formerly smoked,0 +40137,Female,56,0,0,Yes,Self-employed,Rural,110.92,25.9,Unknown,0 +70500,Female,44,0,0,No,Private,Rural,92.72,36.6,never smoked,0 +35085,Female,6,0,0,No,children,Rural,108.23,18.6,Unknown,0 +43872,Female,78,0,0,Yes,Private,Rural,56.34,27.5,Unknown,0 +62951,Female,32,0,0,Yes,Private,Rural,61.83,31.3,never smoked,0 +43244,Female,40,0,0,Yes,Private,Rural,131.99,37.5,never smoked,0 +31198,Female,63,0,0,Yes,Self-employed,Rural,136.81,23.1,smokes,0 +23223,Male,51,0,0,Yes,Private,Rural,239.28,35,never smoked,0 +38474,Male,22,0,0,Yes,Govt_job,Urban,131.3,27,never smoked,0 +4591,Female,82,0,0,Yes,Self-employed,Rural,117.75,29.8,never smoked,0 +1451,Female,17,0,0,No,Private,Urban,78.46,23.5,Unknown,0 +37150,Female,34,0,0,Yes,Private,Rural,83.53,48.5,formerly smoked,0 +65632,Male,42,0,0,Yes,Private,Rural,145.5,31.8,formerly smoked,0 +62834,Female,32,0,0,Yes,Private,Urban,88.33,20,Unknown,0 +21826,Male,73,0,0,Yes,Self-employed,Rural,101.25,29.4,formerly smoked,0 +21036,Female,47,0,0,Yes,Private,Urban,131.43,24.3,never smoked,0 +55566,Female,34,0,0,Yes,Private,Rural,231.5,45.4,never smoked,0 +46923,Male,64,0,1,Yes,Private,Rural,82.89,29.5,never smoked,0 +63990,Male,52,1,0,Yes,Self-employed,Rural,192.37,49.2,never smoked,0 +2265,Male,49,0,0,Yes,Private,Rural,79.64,N/A,smokes,0 +2860,Male,55,0,0,Yes,Private,Rural,82.88,29.4,Unknown,0 +15964,Female,64,1,0,Yes,Private,Rural,99.4,29.1,never smoked,0 +46483,Male,23,0,0,No,Private,Urban,77.75,38.8,smokes,0 +33284,Male,18,0,0,No,Private,Rural,75.03,23.4,never smoked,0 +61895,Female,65,0,0,Yes,Private,Rural,220.47,48.7,never smoked,0 +48875,Male,12,0,0,No,children,Rural,196.91,19.7,Unknown,0 +36589,Female,61,0,0,Yes,Self-employed,Urban,180.8,20.3,never smoked,0 +28651,Male,66,0,0,Yes,Private,Urban,247.48,33.5,smokes,0 +45033,Male,59,0,0,Yes,Govt_job,Urban,216,36.7,smokes,0 +32166,Male,47,1,0,Yes,Private,Urban,75.64,24.4,never smoked,0 +34188,Female,47,0,0,Yes,Govt_job,Urban,95.07,38.8,formerly smoked,0 +58359,Female,71,1,0,Yes,Private,Urban,129.97,44.2,smokes,0 +59347,Male,62,0,0,Yes,Private,Urban,124.26,33.4,never smoked,0 +12849,Female,28,0,0,Yes,Private,Urban,87.92,32.5,Unknown,0 +6104,Female,7,0,0,No,children,Rural,85.15,15.1,Unknown,0 +29694,Female,68,0,0,Yes,Private,Rural,95.36,21.5,smokes,0 +30806,Male,37,0,0,Yes,Self-employed,Urban,87.16,30.4,formerly smoked,0 +20316,Female,75,0,0,Yes,Govt_job,Rural,219.39,33.4,smokes,0 +58253,Male,5,0,0,No,children,Urban,71.92,18.2,Unknown,0 +57679,Male,1.08,0,0,No,children,Urban,167.66,18.7,Unknown,0 +39956,Female,34,0,0,No,Private,Rural,87.21,38.4,Unknown,0 +7683,Male,49,0,0,Yes,Self-employed,Rural,220.47,36.4,smokes,0 +9197,Female,8,0,0,No,children,Urban,80.47,20.6,Unknown,0 +58543,Female,50,0,0,Yes,Govt_job,Urban,89.95,48.9,formerly smoked,0 +6968,Male,2,0,0,No,children,Rural,111.32,18.2,Unknown,0 +35838,Female,1.16,0,0,No,children,Urban,65.01,17,Unknown,0 +57549,Female,76,0,0,Yes,Self-employed,Urban,110.07,31.8,never smoked,0 +59200,Male,18,0,0,No,Private,Urban,60.56,33,never smoked,0 +24289,Male,82,0,0,Yes,Private,Urban,89.83,24.7,smokes,0 +6206,Female,67,0,0,Yes,Self-employed,Rural,90.35,28.1,Unknown,0 +28227,Female,27,0,0,Yes,Private,Urban,71.5,40.3,smokes,0 +35229,Male,57,0,0,Yes,Govt_job,Urban,71.71,35.2,smokes,0 +23176,Female,51,1,0,Yes,Private,Urban,173.96,31.2,formerly smoked,0 +3045,Male,68,1,0,Yes,Private,Urban,96.06,37.6,never smoked,0 +22386,Female,56,0,0,Yes,Private,Urban,113.2,38.7,smokes,0 +1077,Male,77,0,1,Yes,Govt_job,Rural,106.03,N/A,Unknown,0 +57903,Female,52,1,0,Yes,Self-employed,Rural,111.38,N/A,smokes,0 +22108,Female,18,0,0,No,Private,Rural,73.29,28.1,smokes,0 +55982,Female,63,0,0,Yes,Self-employed,Urban,65.71,29.2,smokes,0 +55465,Female,31,0,0,Yes,Private,Rural,60.41,31.1,Unknown,0 +29258,Female,37,0,0,No,Private,Urban,89.11,24.1,never smoked,0 +38432,Female,64,0,0,Yes,Private,Urban,63.32,18.7,formerly smoked,0 +49666,Male,47,0,0,Yes,Self-employed,Urban,85.68,39.6,never smoked,0 +59904,Female,1.8,0,0,No,children,Urban,162.93,15.7,Unknown,0 +32365,Male,42,0,0,Yes,Private,Rural,89.22,53.8,Unknown,0 +15351,Male,37,0,0,Yes,Private,Rural,91.68,32.4,formerly smoked,0 +61000,Female,69,0,1,No,Private,Urban,198.33,42.7,smokes,0 +77,Female,13,0,0,No,children,Rural,85.81,18.6,Unknown,0 +17466,Male,73,0,0,No,Govt_job,Rural,79.59,31.4,smokes,0 +57569,Male,48,0,0,Yes,Private,Rural,106.74,33.7,formerly smoked,0 +9026,Female,78,1,0,Yes,Self-employed,Urban,191.33,24.5,never smoked,0 +54590,Female,21,0,0,No,Private,Rural,59.52,33.7,never smoked,0 +54301,Male,54,0,0,Yes,Private,Rural,206.52,35.4,smokes,0 +170,Male,43,0,0,Yes,Govt_job,Rural,80.07,N/A,never smoked,0 +52554,Male,19,0,0,No,Private,Rural,64.92,22.5,Unknown,0 +10649,Female,82,0,0,Yes,Private,Urban,80,33.6,never smoked,0 +28258,Female,80,0,0,Yes,Self-employed,Urban,75.06,29.7,Unknown,0 +22269,Female,69,1,0,Yes,Govt_job,Urban,112.2,N/A,never smoked,0 +12557,Female,21,0,0,No,Self-employed,Urban,91.18,25.7,never smoked,0 +2846,Female,46,0,0,Yes,Private,Rural,85.81,20.2,formerly smoked,0 +61219,Female,14,0,0,No,Never_worked,Urban,148.37,22.7,never smoked,0 +65321,Male,6,0,0,No,children,Rural,64.55,17.4,Unknown,0 +23946,Female,3,0,0,No,children,Rural,97.31,22.2,Unknown,0 +56312,Male,47,0,0,No,Private,Rural,111.15,23.8,never smoked,0 +20256,Male,34,0,0,Yes,Private,Urban,80.97,28.7,never smoked,0 +26993,Female,41,0,0,Yes,Private,Rural,89.88,33.1,formerly smoked,0 +58599,Female,67,0,0,Yes,Private,Rural,62.66,28,formerly smoked,0 +27849,Female,5,0,0,No,children,Urban,122.25,16.7,Unknown,0 +33367,Male,20,0,0,No,Private,Rural,87.08,27.1,never smoked,0 +61764,Female,63,0,0,Yes,Private,Rural,85,26.4,smokes,0 +13620,Female,73,0,0,Yes,Self-employed,Urban,100.49,23.7,smokes,0 +39308,Male,62,0,0,Yes,Private,Urban,145.37,33.3,Unknown,0 +1275,Male,0.88,0,0,No,children,Urban,112.19,18.9,Unknown,0 +34336,Male,50,1,0,Yes,Govt_job,Rural,79.73,25.5,smokes,0 +1505,Male,71,0,1,Yes,Self-employed,Rural,101.13,35.9,formerly smoked,0 +31887,Female,30,0,0,Yes,Private,Urban,101.98,23.2,Unknown,0 +60258,Female,80,0,1,Yes,Self-employed,Rural,98.39,22.2,smokes,0 +63450,Female,64,0,0,Yes,Self-employed,Rural,128.04,34,smokes,0 +35178,Male,7,0,0,No,children,Urban,98.12,20.4,Unknown,0 +3099,Female,36,0,0,No,Private,Urban,216.96,34.5,Unknown,0 +43903,Male,79,0,0,Yes,Self-employed,Rural,94.92,31.9,Unknown,0 +9013,Female,35,0,0,Yes,Private,Rural,83.27,19.8,formerly smoked,0 +60158,Female,28,0,0,No,Private,Rural,96.86,29,Unknown,0 +15579,Male,72,0,0,Yes,Self-employed,Rural,99.73,36.7,formerly smoked,0 +8563,Female,12,0,0,No,children,Rural,91.71,21.3,Unknown,0 +61573,Male,25,0,0,No,Private,Rural,65.77,23.7,smokes,0 +43827,Female,27,0,0,Yes,Private,Urban,161.57,25.7,smokes,0 +43090,Female,62,1,0,Yes,Self-employed,Rural,74.32,34,never smoked,0 +46068,Male,58,0,0,No,Self-employed,Rural,170.93,30.7,Unknown,0 +12469,Female,30,0,0,Yes,Private,Urban,74.43,44.8,never smoked,0 +58820,Male,56,0,0,Yes,Private,Rural,86.36,27.7,formerly smoked,0 +31893,Female,28,0,0,Yes,Private,Rural,97.06,23.2,Unknown,0 +45259,Male,47,0,0,Yes,Private,Rural,110.38,30.1,Unknown,0 +63779,Female,16,0,0,No,Private,Rural,79.03,29.3,Unknown,0 +71250,Female,29,0,0,Yes,Private,Rural,62.48,29.5,never smoked,0 +55051,Male,26,0,0,Yes,Private,Rural,55.62,25.8,never smoked,0 +2520,Female,26,0,0,Yes,Private,Rural,84.9,26.2,never smoked,0 +3715,Male,55,0,0,Yes,Private,Rural,232.81,28.8,Unknown,0 +21206,Female,29,0,0,No,Private,Rural,86.55,29.8,smokes,0 +60159,Female,29,0,0,No,Govt_job,Rural,118.61,26.5,never smoked,0 +3113,Female,33,0,0,No,Private,Rural,80.21,27.8,formerly smoked,0 +62126,Female,19,1,0,No,Private,Rural,65.96,29,never smoked,0 +51275,Female,10,0,0,No,children,Urban,61.34,19.1,Unknown,0 +3115,Female,3,0,0,No,children,Urban,116.6,17.1,Unknown,0 +9986,Female,60,0,0,Yes,Private,Urban,85.13,24.6,Unknown,0 +35974,Female,16,0,0,No,Private,Rural,86.32,18.3,Unknown,0 +46488,Male,35,0,0,Yes,Private,Rural,69.22,42.8,never smoked,0 +54172,Female,41,0,0,Yes,Private,Urban,140.93,46.5,Unknown,0 +21804,Female,19,0,0,No,Private,Urban,83.43,38.4,Unknown,0 +50402,Female,79,0,0,Yes,Private,Urban,207.95,26,formerly smoked,0 +36317,Female,41,0,0,Yes,Private,Rural,134.29,26.8,smokes,0 +44676,Male,1.64,0,0,No,children,Urban,115.12,21.1,Unknown,0 +3724,Female,51,0,0,Yes,Govt_job,Urban,86.25,29,never smoked,0 +69668,Female,33,0,0,Yes,Self-employed,Rural,112.94,43,never smoked,0 +59274,Female,33,0,0,Yes,Govt_job,Rural,73.54,36.6,smokes,0 +29676,Male,48,0,0,No,Private,Urban,80.86,27.5,Unknown,0 +37655,Male,45,0,0,Yes,Private,Rural,83.91,40.2,Unknown,0 +16980,Female,61,0,0,No,Private,Rural,69.91,37.1,never smoked,0 +40213,Male,31,0,0,No,Private,Rural,95.62,32,smokes,0 +47831,Male,60,1,0,No,Private,Urban,63.95,32.2,never smoked,0 +40977,Male,51,0,0,Yes,Private,Rural,122.5,20.6,Unknown,0 +39129,Male,53,0,0,Yes,Govt_job,Rural,86,24.1,never smoked,0 +40837,Male,52,0,0,Yes,Govt_job,Urban,120.27,25,never smoked,0 +59000,Female,42,0,0,Yes,Govt_job,Urban,56.71,25.2,Unknown,0 +44510,Female,56,0,0,Yes,Private,Rural,131.63,27.6,never smoked,0 +3793,Male,14,0,0,No,Private,Urban,79.36,48.8,never smoked,0 +32215,Female,40,0,0,No,Private,Urban,120.77,27.6,never smoked,0 +35296,Female,58,0,0,Yes,Private,Rural,100.42,39.5,smokes,0 +69502,Female,52,1,0,Yes,Private,Urban,155.86,27.2,smokes,0 +67620,Male,30,0,0,Yes,Govt_job,Rural,66.01,26.3,smokes,0 +27664,Female,47,0,0,Yes,Private,Urban,86.99,28.9,smokes,0 +49555,Female,34,0,0,Yes,Govt_job,Urban,90.55,30,never smoked,0 +16812,Female,82,0,1,Yes,Self-employed,Rural,229.58,23.7,Unknown,0 +63665,Female,31,0,0,Yes,Private,Urban,60.06,25.5,smokes,0 +68141,Female,58,0,0,Yes,Private,Rural,65.66,24.6,formerly smoked,0 +33674,Female,47,0,0,Yes,Private,Urban,104.7,20.7,smokes,0 +30432,Male,65,1,0,Yes,Self-employed,Urban,113.86,36.4,never smoked,0 +10886,Female,13,0,0,No,children,Rural,99.49,23.4,Unknown,0 +62629,Male,37,1,0,Yes,Private,Urban,165.99,32.3,never smoked,0 +67758,Male,9,0,0,No,children,Urban,114.99,18.8,Unknown,0 +41244,Female,7,0,0,No,children,Urban,79.58,15.5,Unknown,0 +50309,Female,37,0,0,No,Govt_job,Rural,77.37,21.4,never smoked,0 +6480,Male,62,0,0,No,Govt_job,Urban,93.55,31.7,never smoked,0 +27007,Male,14,0,0,No,Self-employed,Urban,187.22,29.7,Unknown,0 +63912,Female,77,0,0,Yes,Govt_job,Rural,167.59,34.3,formerly smoked,0 +37483,Male,36,0,0,Yes,Private,Urban,98.03,22.1,smokes,0 +29855,Female,3,0,0,No,children,Urban,88.79,21.5,Unknown,0 +22136,Male,78,1,1,No,Self-employed,Urban,92.9,30.4,smokes,0 +66637,Female,49,0,0,Yes,Govt_job,Urban,117.34,21.6,never smoked,0 +2244,Male,44,0,0,Yes,Private,Urban,80.75,30.9,never smoked,0 +22259,Male,10,0,0,No,children,Rural,77.51,21.9,Unknown,0 +19088,Male,8,0,0,No,children,Urban,105.63,19.2,Unknown,0 +61010,Female,60,0,0,Yes,Private,Urban,114.34,30.3,smokes,0 +49574,Female,56,0,0,Yes,Private,Rural,227.04,23,smokes,0 +12336,Female,73,0,0,Yes,Self-employed,Urban,87.56,24.1,never smoked,0 +3668,Female,65,0,0,Yes,Govt_job,Urban,84.47,52.7,smokes,0 +6034,Female,34,0,0,Yes,Self-employed,Rural,96.26,27.6,Unknown,0 +61418,Male,13,0,0,No,children,Rural,116.64,23.9,Unknown,0 +68725,Female,80,0,0,Yes,Private,Urban,79.57,26.9,never smoked,0 +464,Male,46,0,0,Yes,Private,Rural,78.44,23.9,never smoked,0 +42225,Female,80,0,0,Yes,Self-employed,Urban,64.15,40.5,never smoked,0 +51254,Female,65,0,0,No,Private,Urban,74.5,32,never smoked,0 +59164,Female,24,0,0,No,Private,Urban,70.32,20.5,Unknown,0 +70429,Female,33,0,0,Yes,Private,Urban,84.48,44.5,never smoked,0 +54253,Male,11,0,0,No,children,Urban,144.08,16.2,formerly smoked,0 +47937,Female,57,0,0,Yes,Self-employed,Rural,78.14,35.8,never smoked,0 +66882,Female,19,0,0,No,Govt_job,Urban,133.58,24,never smoked,0 +7411,Male,82,0,0,Yes,Private,Urban,214.42,33.9,formerly smoked,0 +39593,Female,39,0,0,Yes,Private,Urban,80.63,36,smokes,0 +6239,Female,14,0,0,No,Private,Rural,233.71,22.9,never smoked,0 +35378,Female,60,1,0,No,Private,Urban,96,44.5,smokes,0 +54012,Female,3,0,0,No,children,Urban,74.52,17.5,Unknown,0 +69835,Female,57,0,0,Yes,Private,Rural,131.4,32.3,never smoked,0 +44591,Male,79,0,0,Yes,Private,Urban,216.4,30.3,never smoked,0 +4709,Female,65,0,0,Yes,Private,Rural,108.8,33.5,Unknown,0 +20393,Female,67,1,0,Yes,Private,Urban,97.06,30.9,never smoked,0 +27626,Female,60,0,0,No,Govt_job,Rural,266.59,25.5,never smoked,0 +45864,Female,36,0,0,No,Private,Rural,55.58,30,never smoked,0 +68685,Male,36,0,0,Yes,Govt_job,Urban,65.87,32.2,formerly smoked,0 +28711,Female,26,0,0,No,Private,Urban,89.28,21.7,smokes,0 +44962,Male,71,0,0,Yes,Govt_job,Urban,56.12,24.7,Unknown,0 +7892,Male,78,0,0,Yes,Private,Urban,74.7,28.8,formerly smoked,0 +11744,Male,77,0,0,Yes,Self-employed,Urban,83.06,27,Unknown,0 +12279,Male,74,0,0,Yes,Private,Urban,227.94,26,Unknown,0 +20740,Female,50,0,0,Yes,Self-employed,Rural,84.88,27.1,never smoked,0 +58257,Male,9,0,0,No,children,Urban,64.2,18.5,Unknown,0 +36547,Male,1.64,0,0,No,children,Rural,137.22,18.8,Unknown,0 +559,Female,54,0,0,Yes,Private,Urban,81.44,31.5,formerly smoked,0 +13728,Male,8,0,0,No,children,Rural,90.26,18.1,Unknown,0 +4400,Female,36,0,0,Yes,Private,Urban,68.48,24.3,never smoked,0 +68524,Female,38,0,0,Yes,Private,Urban,100.02,28,never smoked,0 +24096,Female,34,1,0,Yes,Self-employed,Urban,100.61,N/A,Unknown,0 +65643,Female,7,0,0,No,children,Urban,156.82,17.3,Unknown,0 +30186,Female,5,0,0,No,children,Urban,81.66,17.2,Unknown,0 +11904,Male,14,0,0,No,children,Rural,112.22,26.9,Unknown,0 +20257,Male,0.88,0,0,No,children,Urban,90.62,22.4,Unknown,0 +2822,Female,30,0,0,Yes,Private,Rural,72.49,25.8,never smoked,0 +18072,Female,39,0,0,Yes,Govt_job,Urban,107.47,21.3,Unknown,0 +34896,Female,17,0,0,No,Private,Rural,92.11,43,never smoked,0 +53328,Female,14,0,0,No,Private,Rural,70.54,24.4,formerly smoked,0 +28303,Female,52,0,0,Yes,Self-employed,Rural,205,30.1,never smoked,0 +44325,Male,78,0,0,Yes,Self-employed,Rural,126.39,21.3,smokes,0 +8579,Female,2,0,0,No,children,Rural,89.72,17.8,Unknown,0 +29229,Male,32,0,0,Yes,Private,Urban,92.08,28.4,smokes,0 +48406,Male,0.88,0,0,No,children,Urban,85.38,23.4,Unknown,0 +3761,Female,50,0,0,Yes,Self-employed,Rural,95.25,24.3,never smoked,0 +65324,Female,48,0,0,Yes,Govt_job,Rural,75.91,27.8,Unknown,0 +7658,Male,66,0,0,Yes,Govt_job,Rural,203.44,30.5,formerly smoked,0 +35997,Male,78,0,1,Yes,Self-employed,Urban,243.73,N/A,smokes,0 +34383,Male,46,0,0,Yes,Private,Urban,88.23,25.8,Unknown,0 +8646,Female,54,0,0,Yes,Private,Rural,97.47,26.7,never smoked,0 +46653,Female,81,1,1,Yes,Private,Rural,59.28,28.1,never smoked,0 +1099,Female,15,0,0,No,children,Rural,101.15,22.2,Unknown,0 +61676,Male,77,0,0,Yes,Self-employed,Urban,68.38,25.1,Unknown,0 +38131,Female,59,0,0,Yes,Self-employed,Rural,55.46,20.9,never smoked,0 +61848,Female,48,0,0,Yes,Private,Urban,113.87,28.9,never smoked,0 +56228,Male,76,0,1,Yes,Self-employed,Urban,67.03,N/A,never smoked,0 +4949,Male,49,0,0,Yes,Private,Rural,96.35,35.9,never smoked,0 +46688,Female,44,0,0,No,Private,Urban,127.21,29.8,smokes,0 +30491,Female,39,0,0,Yes,Private,Urban,78.9,26.7,never smoked,0 +43478,Male,34,0,0,Yes,Private,Urban,59.91,28.4,formerly smoked,0 +25443,Male,50,0,0,No,Private,Urban,160.94,26.7,smokes,0 +52519,Male,62,0,0,Yes,Private,Rural,59.61,32.5,Unknown,0 +24361,Female,38,0,0,Yes,Private,Urban,87.94,43.8,never smoked,0 +29514,Female,43,0,0,Yes,Private,Rural,97.55,28.3,formerly smoked,0 +35893,Male,28,0,0,No,Private,Urban,116.02,36.6,formerly smoked,0 +58568,Female,58,0,0,Yes,Private,Rural,127.32,33.1,smokes,0 +63303,Male,28,0,0,No,Private,Urban,75.5,27,smokes,0 +70625,Male,18,0,0,No,Private,Urban,79.35,23.6,Unknown,0 +54807,Male,62,1,1,Yes,Private,Rural,176.25,N/A,never smoked,0 +18820,Male,31,0,0,No,Private,Rural,108.56,21.8,never smoked,0 +64029,Male,55,1,0,Yes,Private,Urban,168.06,23.5,smokes,0 +72703,Female,54,0,0,Yes,Private,Urban,75.52,28.7,formerly smoked,0 +11394,Male,73,0,1,Yes,Private,Rural,82.15,31.6,formerly smoked,0 +12298,Male,26,0,0,No,Self-employed,Urban,200.28,31.9,formerly smoked,0 +70845,Male,73,0,1,Yes,Private,Rural,62.44,25.2,smokes,0 +44494,Female,38,0,0,Yes,Private,Rural,84.31,25.9,smokes,0 +30953,Male,75,1,1,Yes,Private,Rural,221.43,32.5,Unknown,0 +47861,Male,81,0,0,Yes,Private,Urban,165.47,28.1,Unknown,0 +13465,Female,20,0,0,No,Private,Rural,96.69,27.4,smokes,0 +62454,Female,12,0,0,No,children,Urban,63.98,21.2,formerly smoked,0 +52593,Male,78,0,1,Yes,Private,Urban,145.03,26.8,formerly smoked,0 +91,Female,42,0,0,No,Private,Urban,98.53,18.5,never smoked,0 +22056,Female,71,1,0,Yes,Private,Urban,105.55,N/A,smokes,0 +45469,Male,16,0,0,No,children,Rural,134.23,30.6,Unknown,0 +41284,Male,4,0,0,No,children,Rural,62.48,19.9,Unknown,0 +20112,Male,79,0,1,Yes,Private,Urban,213.38,N/A,Unknown,0 +45627,Male,60,0,0,Yes,Private,Rural,70.52,26.5,formerly smoked,0 +4174,Female,45,1,0,Yes,Private,Urban,93.21,43.8,never smoked,0 +31660,Male,23,0,0,No,Private,Rural,82.39,31.8,Unknown,0 +36196,Male,21,0,0,No,Private,Rural,88.29,36.6,smokes,0 +19769,Female,67,0,0,Yes,Self-employed,Rural,80.18,22.9,formerly smoked,0 +8341,Male,10,0,0,No,children,Rural,84.02,18.7,never smoked,0 +42172,Female,24,0,0,Yes,Self-employed,Rural,69.72,29.6,never smoked,0 +14372,Male,50,0,0,Yes,Self-employed,Urban,192.16,43.6,never smoked,0 +61252,Male,79,0,1,Yes,Private,Rural,82.27,N/A,never smoked,0 +15251,Male,14,0,0,No,children,Urban,101.87,20.3,never smoked,0 +67800,Female,13,0,0,No,children,Rural,77.55,21.3,Unknown,0 +10416,Male,71,0,1,Yes,Private,Urban,215.72,39.2,smokes,0 +19504,Female,66,0,0,Yes,Private,Rural,87.84,52.8,Unknown,0 +7476,Male,32,0,0,No,Govt_job,Rural,91.93,30.2,never smoked,0 +55526,Male,46,0,0,Yes,Govt_job,Urban,58.63,35.3,never smoked,0 +452,Male,48,1,0,Yes,Private,Urban,173.14,37,smokes,0 +55790,Female,45,0,0,Yes,Private,Urban,106.83,32.1,formerly smoked,0 +38541,Male,55,0,0,Yes,Private,Urban,84.44,30.5,formerly smoked,0 +23748,Female,31,0,0,Yes,Private,Urban,92.16,22.8,never smoked,0 +18790,Male,25,0,0,No,Private,Urban,85.96,34.5,formerly smoked,0 +45751,Male,73,1,0,Yes,Self-employed,Rural,202.57,37.4,never smoked,0 +72369,Female,14,0,0,No,children,Rural,65.41,19.5,Unknown,0 +7171,Female,56,0,0,Yes,Govt_job,Urban,102.51,55.7,Unknown,0 +52826,Male,60,0,0,Yes,Private,Rural,62.6,30.4,Unknown,0 +42556,Male,27,0,0,Yes,Private,Urban,150.1,25.3,never smoked,0 +507,Female,28,0,0,Yes,Private,Rural,94.15,23.1,smokes,0 +56746,Male,46,1,0,Yes,Private,Urban,65.5,30.7,never smoked,0 +54072,Female,11,0,0,No,children,Urban,81.31,18.8,never smoked,0 +49760,Female,63,0,0,Yes,Private,Rural,78.96,28.6,never smoked,0 +61821,Female,59,0,0,Yes,Private,Rural,123.47,27.5,Unknown,0 +65481,Male,57,0,0,Yes,Private,Urban,90.4,26.5,never smoked,0 +6174,Female,35,0,0,No,Private,Urban,71.59,40.3,never smoked,0 +68224,Male,54,0,0,Yes,Private,Rural,209.5,37.9,formerly smoked,0 +61559,Male,7,0,0,No,children,Urban,86.6,17.1,Unknown,0 +65564,Female,48,0,0,Yes,Private,Urban,57.43,53.5,formerly smoked,0 +18890,Male,69,1,0,Yes,Private,Rural,87.93,33.6,never smoked,0 +58936,Male,59,0,0,Yes,Private,Rural,203.16,43.4,Unknown,0 +67667,Female,72,1,0,Yes,Self-employed,Rural,112.12,30.5,never smoked,0 +68138,Male,49,0,0,Yes,Private,Urban,92.02,38.1,never smoked,0 +50363,Female,73,1,0,Yes,Private,Rural,60.98,29.9,formerly smoked,0 +4740,Female,24,0,0,No,Private,Urban,86.35,32.7,never smoked,0 +39683,Male,26,0,0,No,Private,Rural,71.26,28.6,Unknown,0 +49903,Male,27,0,0,No,Private,Urban,72.61,38.5,never smoked,0 +63457,Female,78,0,1,No,Self-employed,Urban,110.78,22.9,never smoked,0 +18595,Female,77,0,0,Yes,Private,Urban,99.78,38,never smoked,0 +64912,Female,59,0,0,Yes,Self-employed,Rural,201.45,43.8,smokes,0 +68382,Male,0.32,0,0,No,children,Urban,127.78,20.8,Unknown,0 +69510,Male,39,0,0,Yes,Private,Rural,121.32,26.8,never smoked,0 +29872,Female,35,0,0,Yes,Private,Urban,83.89,25.5,never smoked,0 +1924,Male,54,0,0,Yes,Private,Rural,74.06,N/A,never smoked,0 +67243,Female,75,0,1,Yes,Private,Urban,206.15,25.4,never smoked,0 +3494,Female,80,0,0,Yes,Private,Rural,102.9,26.7,Unknown,0 +37307,Female,35,0,0,Yes,Private,Urban,65.48,50.5,never smoked,0 +41175,Female,22,0,0,No,Govt_job,Urban,123.23,21.3,Unknown,0 +48303,Male,39,0,0,Yes,Private,Rural,71.3,34.7,never smoked,0 +31473,Male,6,0,0,No,children,Rural,79.05,17.9,Unknown,0 +31402,Female,62,0,0,Yes,Self-employed,Rural,102.21,36.3,never smoked,0 +18996,Female,13,0,0,No,children,Urban,105.22,18.4,Unknown,0 +2573,Male,56,0,0,Yes,Govt_job,Rural,84.58,34.5,Unknown,0 +60683,Male,53,0,1,Yes,Govt_job,Urban,77.3,33.4,never smoked,0 +70537,Male,5,0,0,No,children,Rural,74.79,19.4,Unknown,0 +63193,Female,44,0,0,Yes,Private,Rural,88.75,25.6,Unknown,0 +12228,Male,13,0,0,No,children,Rural,97.97,24.5,never smoked,0 +58107,Female,59,0,0,Yes,Private,Rural,79.18,30,Unknown,0 +28647,Female,35,0,0,Yes,Private,Urban,81.33,28.9,never smoked,0 +57086,Female,52,0,0,Yes,Private,Urban,126.68,28.1,never smoked,0 +5505,Female,76,0,0,Yes,Private,Urban,196.61,23,never smoked,0 +44112,Female,51,0,0,Yes,Self-employed,Urban,219.92,33.5,formerly smoked,0 +56645,Female,79,0,0,Yes,Govt_job,Rural,79.16,34.8,formerly smoked,0 +16652,Female,69,0,0,Yes,Self-employed,Urban,99.68,17.6,formerly smoked,0 +32445,Female,78,0,0,Yes,Self-employed,Urban,79.55,21.1,formerly smoked,0 +18752,Male,60,0,0,Yes,Private,Rural,87.86,29,formerly smoked,0 +35152,Male,10,0,0,No,children,Urban,76.92,15.8,Unknown,0 +70081,Male,42,1,0,Yes,Self-employed,Rural,77.24,41.2,Unknown,0 +72340,Male,21,0,0,No,Private,Urban,120.94,29.7,formerly smoked,0 +67112,Female,56,0,0,Yes,Private,Rural,77.66,40.8,never smoked,0 +42323,Male,59,0,0,Yes,Govt_job,Rural,231.95,33.2,never smoked,0 +35022,Female,69,0,0,Yes,Private,Urban,111.48,37,smokes,0 +21625,Female,25,0,0,Yes,Private,Urban,84.25,24.5,Unknown,0 +49972,Male,63,0,0,Yes,Self-employed,Rural,216.38,34.5,never smoked,0 +44142,Male,25,0,0,No,Private,Rural,95.01,28,never smoked,0 +364,Female,58,0,0,Yes,Private,Urban,105.74,26.8,formerly smoked,0 +59669,Female,28,0,0,Yes,Private,Rural,58.41,21,Unknown,0 +69900,Female,46,0,0,Yes,Govt_job,Urban,56.89,23.8,smokes,0 +12753,Male,53,0,0,Yes,Private,Urban,86.25,29.3,never smoked,0 +10273,Female,37,0,0,Yes,Private,Rural,86.49,24.4,Unknown,0 +30824,Male,12,0,0,No,children,Rural,115.47,22.6,Unknown,0 +587,Female,14,0,0,No,children,Rural,92.22,22.8,Unknown,0 +55856,Female,60,0,0,Yes,Private,Rural,83.16,29.7,smokes,0 +47196,Male,42,0,0,Yes,Private,Rural,110.68,32.4,formerly smoked,0 +67724,Female,65,0,0,Yes,Private,Rural,70.06,35.8,Unknown,0 +23488,Male,80,1,0,Yes,Self-employed,Urban,213.33,31.1,formerly smoked,0 +2849,Male,32,0,0,Yes,Private,Urban,93.52,31.9,Unknown,0 +12134,Female,53,0,0,Yes,Govt_job,Rural,87.62,33.7,smokes,0 +24058,Female,50,0,0,Yes,Govt_job,Rural,77.67,25.6,never smoked,0 +15117,Female,23,0,0,No,Private,Rural,95.66,19.9,smokes,0 +72915,Female,45,0,0,Yes,Private,Urban,172.33,45.3,formerly smoked,0 +61836,Female,0.8,0,0,No,children,Urban,106.59,15.5,Unknown,0 +13116,Male,49,0,0,Yes,Private,Urban,87.06,28.3,never smoked,0 +48146,Male,70,0,1,Yes,Private,Rural,93.02,40.2,formerly smoked,0 +72819,Female,82,0,0,Yes,Self-employed,Urban,243.59,24.3,never smoked,0 +20070,Male,23,0,0,No,Private,Urban,86.7,24.6,Unknown,0 +8778,Female,79,0,0,Yes,Self-employed,Rural,97.81,26.6,formerly smoked,0 +13764,Female,74,0,0,Yes,Private,Urban,116.04,30.9,never smoked,0 +2005,Male,78,0,1,Yes,Self-employed,Urban,169.43,23.5,formerly smoked,0 +8616,Female,50,0,0,Yes,Private,Rural,68.41,23.9,smokes,0 +51524,Female,34,0,0,Yes,Private,Rural,94.44,34.2,Unknown,0 +50541,Male,47,0,0,Yes,Govt_job,Urban,73.48,34.9,smokes,0 +21971,Female,52,0,0,Yes,Govt_job,Rural,183.87,26.2,never smoked,0 +32183,Female,67,0,0,Yes,Private,Rural,66.08,36.2,never smoked,0 +30145,Female,62,0,0,Yes,Private,Rural,72.19,22.4,Unknown,0 +30482,Female,18,0,0,No,Private,Rural,101.09,19.3,smokes,0 +30790,Female,75,1,0,Yes,Govt_job,Urban,88.83,41.7,never smoked,0 +63337,Female,42,0,0,Yes,Private,Rural,69.99,46,smokes,0 +66264,Male,29,0,0,Yes,Govt_job,Urban,102.4,26.9,smokes,0 +641,Male,52,0,0,Yes,Govt_job,Rural,87.26,40.1,smokes,0 +42412,Female,18,0,0,No,Private,Urban,146.59,27.7,Unknown,0 +65693,Male,67,0,0,Yes,Govt_job,Rural,59,29.5,Unknown,0 +3746,Female,66,0,0,Yes,Private,Urban,76.83,26,never smoked,0 +71304,Male,5,0,0,No,children,Urban,101.83,22.7,Unknown,0 +34935,Female,18,0,0,No,Govt_job,Urban,90.92,16,never smoked,0 +29173,Male,52,0,0,Yes,Govt_job,Urban,67.5,27.7,smokes,0 +26474,Female,44,0,0,Yes,Govt_job,Urban,97.16,33.1,Unknown,0 +56857,Male,46,1,0,Yes,Govt_job,Urban,85.62,33.1,formerly smoked,0 +13529,Female,36,0,0,Yes,Govt_job,Rural,129.43,29.7,never smoked,0 +61979,Female,61,0,0,Yes,Govt_job,Urban,106.01,34,smokes,0 +70886,Female,7,0,0,No,children,Rural,114.82,33.3,Unknown,0 +27693,Female,15,0,0,No,children,Urban,121.39,27,Unknown,0 +59762,Male,61,0,0,Yes,Private,Urban,227.98,14.2,Unknown,0 +57308,Male,20,0,0,No,Private,Urban,78.97,19.4,never smoked,0 +3701,Female,2,0,0,No,children,Urban,84.12,15.3,Unknown,0 +61339,Male,47,0,0,Yes,Self-employed,Urban,95.04,28.7,never smoked,0 +24965,Female,25,0,0,No,Govt_job,Rural,103.15,21,smokes,0 +33952,Male,66,1,0,Yes,Private,Urban,82.91,28.9,formerly smoked,0 +39042,Male,2,0,0,No,children,Urban,70.93,20.3,Unknown,0 +43039,Female,63,0,0,Yes,Private,Rural,153.6,28,formerly smoked,0 +59915,Female,53,0,0,No,Private,Urban,129.43,29.6,never smoked,0 +4727,Female,33,0,0,Yes,Govt_job,Rural,81,30.2,formerly smoked,0 +16481,Female,23,0,0,No,Govt_job,Rural,71.81,22.2,Unknown,0 +15018,Female,23,0,0,No,Govt_job,Urban,84.46,28.4,formerly smoked,0 +49702,Female,81,0,0,Yes,Self-employed,Rural,101.32,29.6,formerly smoked,0 +48017,Male,55,0,0,Yes,Private,Urban,62.56,28.6,never smoked,0 +15313,Female,69,1,0,Yes,Govt_job,Urban,208.2,32.6,formerly smoked,0 +22231,Male,58,0,0,Yes,Private,Urban,199.42,29,never smoked,0 +45461,Female,70,0,0,Yes,Private,Urban,91.28,30.1,Unknown,0 +30678,Female,48,0,0,Yes,Private,Urban,77.99,31.2,formerly smoked,0 +57904,Male,15,0,0,No,Private,Urban,190.13,20.7,never smoked,0 +67483,Male,31,1,0,Yes,Private,Urban,149.68,45.1,never smoked,0 +5646,Female,2,0,0,No,children,Rural,92.3,14.8,Unknown,0 +67911,Male,80,0,0,No,Self-employed,Rural,235.54,37.4,formerly smoked,0 +16856,Female,69,0,0,Yes,Private,Rural,84.46,19.9,Unknown,0 +37972,Female,52,0,0,Yes,Private,Rural,68.7,16,Unknown,0 +62414,Male,80,1,0,Yes,Self-employed,Urban,178.89,27.4,Unknown,0 +50485,Male,54,0,0,Yes,Private,Rural,227.74,33.4,smokes,0 +47405,Female,2,0,0,No,children,Rural,100.66,18.5,Unknown,0 +70928,Male,39,0,0,Yes,Govt_job,Urban,73.62,33.4,Unknown,0 +4679,Female,38,0,0,Yes,Private,Rural,100.05,20.8,smokes,0 +15070,Male,76,0,1,Yes,Private,Rural,213.8,22,never smoked,0 +25625,Female,45,0,0,No,Private,Rural,103.94,32.5,smokes,0 +35123,Female,1.24,0,0,No,children,Urban,84.2,19.2,Unknown,0 +20165,Female,77,0,0,Yes,Private,Urban,250.8,32.9,never smoked,0 +41730,Female,46,0,0,No,Govt_job,Rural,112.29,23.5,Unknown,0 +38761,Female,50,0,0,Yes,Private,Urban,65.98,21.7,never smoked,0 +4797,Female,52,0,0,Yes,Private,Urban,99.1,29.1,Unknown,0 +19199,Female,73,1,0,Yes,Private,Rural,217.84,N/A,never smoked,0 +30402,Male,41,0,0,Yes,Private,Urban,104.34,30.3,Unknown,0 +25088,Female,40,0,0,No,Private,Rural,217,29.4,formerly smoked,0 +54756,Female,59,0,0,Yes,Private,Rural,57.47,30.1,formerly smoked,0 +19590,Male,48,0,0,Yes,Govt_job,Urban,78.24,32.9,never smoked,0 +23332,Female,42,0,0,Yes,Private,Rural,94.38,34,never smoked,0 +16971,Female,26,0,0,No,Private,Urban,100.31,38.6,never smoked,0 +11727,Male,39,0,0,Yes,Self-employed,Urban,74.29,29.3,smokes,0 +60255,Female,34,0,0,No,Private,Rural,103.43,43.6,smokes,0 +38796,Female,54,0,0,Yes,Private,Urban,99.83,22.7,formerly smoked,0 +46498,Female,57,0,0,Yes,Private,Urban,217.4,36.6,never smoked,0 +41042,Female,1.56,0,0,No,children,Urban,71.81,22.6,Unknown,0 +35069,Female,50,1,1,No,Govt_job,Urban,79.79,25.6,smokes,0 +61103,Female,64,1,0,Yes,Self-employed,Urban,190.92,31.4,never smoked,0 +25095,Male,44,0,0,Yes,Govt_job,Urban,94.76,26,formerly smoked,0 +55607,Male,38,0,0,Yes,Private,Urban,101.43,27,formerly smoked,0 +63029,Male,32,0,0,Yes,Private,Rural,115.86,33.3,never smoked,0 +2919,Male,17,0,0,No,Private,Rural,95.27,17.3,Unknown,0 +60003,Male,81,0,0,Yes,Govt_job,Rural,89.02,26.9,never smoked,0 +46256,Male,15,0,0,No,Private,Urban,77.55,24.8,Unknown,0 +23659,Female,5,0,0,No,children,Urban,75.86,20,Unknown,0 +2952,Male,70,1,1,Yes,Private,Rural,93.62,35.8,never smoked,0 +49229,Male,52,0,0,No,Govt_job,Rural,72.71,36.9,formerly smoked,0 +2457,Female,67,0,1,Yes,Self-employed,Rural,94.45,29.6,formerly smoked,0 +23508,Female,17,0,0,No,Never_worked,Rural,88.57,31.1,never smoked,0 +28364,Male,61,0,0,Yes,Private,Urban,84.12,25.1,formerly smoked,0 +31360,Female,31,0,0,No,Private,Urban,89.11,51.9,smokes,0 +19335,Male,58,0,0,Yes,Self-employed,Rural,99.83,36.3,smokes,0 +40390,Female,12,0,0,No,children,Rural,150.03,28.2,never smoked,0 +63936,Female,30,0,0,No,Private,Urban,69.67,35.8,formerly smoked,0 +24832,Female,65,0,0,Yes,Self-employed,Urban,77.46,30.9,formerly smoked,0 +25219,Female,23,0,0,No,Private,Urban,100.54,22.1,smokes,0 +42393,Male,14,0,0,No,children,Rural,142.38,17.6,never smoked,0 +17951,Male,27,0,0,No,Self-employed,Rural,110.87,29.5,smokes,0 +17443,Female,53,0,0,Yes,Private,Urban,73.6,27,never smoked,0 +52242,Female,58,1,0,Yes,Govt_job,Rural,59.52,33.2,never smoked,0 +45931,Male,9,0,0,No,children,Urban,142.68,24.4,Unknown,0 +7828,Male,59,1,0,Yes,Self-employed,Urban,182.9,34.4,smokes,0 +21547,Female,46,0,0,Yes,Govt_job,Urban,75.28,36.7,formerly smoked,0 +42305,Female,41,0,0,No,Private,Rural,100.75,27.2,never smoked,0 +9442,Male,55,0,0,Yes,Self-employed,Rural,163.82,27.5,never smoked,0 +57047,Female,43,0,0,Yes,Private,Urban,110.42,32.6,smokes,0 +2538,Female,5,0,0,No,children,Rural,105.18,N/A,Unknown,0 +28461,Male,15,0,0,No,Never_worked,Rural,79.59,28.4,Unknown,0 +16433,Female,36,0,0,Yes,Private,Rural,107.99,25.5,never smoked,0 +50681,Female,36,0,0,Yes,Private,Rural,90.22,28.7,formerly smoked,0 +71327,Female,47,0,0,No,Private,Rural,143.45,23.8,never smoked,0 +46699,Female,18,0,0,No,Private,Rural,78.57,34.4,Unknown,0 +25248,Male,19,0,0,No,Private,Rural,79.82,26.1,Unknown,0 +35315,Male,65,0,0,Yes,Self-employed,Urban,95.88,28.5,never smoked,0 +63144,Male,17,0,0,No,Govt_job,Urban,123.04,29.6,never smoked,0 +21517,Male,54,0,0,Yes,Private,Urban,92.34,29.4,smokes,0 +29789,Female,46,0,0,Yes,Private,Rural,116.84,28.2,never smoked,0 +52207,Female,59,0,0,Yes,Self-employed,Urban,90.04,28.7,formerly smoked,0 +19209,Female,48,0,0,Yes,Govt_job,Rural,255.17,38.1,formerly smoked,0 +42041,Female,38,0,0,Yes,Private,Rural,217.55,N/A,smokes,0 +58153,Female,18,0,0,No,Private,Urban,123.66,22.2,never smoked,0 +27717,Female,56,0,0,Yes,Self-employed,Urban,112.16,25.7,Unknown,0 +35106,Male,3,0,0,No,children,Urban,88.43,17.7,Unknown,0 +47730,Female,41,0,0,No,Private,Urban,86.03,26.4,never smoked,0 +20657,Female,67,0,0,Yes,Private,Urban,227.96,32.8,Unknown,0 +63411,Female,60,0,0,Yes,Private,Rural,85.6,34.5,Unknown,0 +18671,Female,47,0,0,Yes,Govt_job,Rural,111.68,39.5,never smoked,0 +3843,Female,24,0,0,No,Private,Urban,73.49,23.5,never smoked,0 +1225,Male,43,0,0,Yes,Private,Urban,87.82,38.8,formerly smoked,0 +40264,Female,17,0,0,No,Private,Rural,99.29,21.2,Unknown,0 +72451,Female,45,0,0,Yes,Private,Rural,63.73,32,Unknown,0 +20292,Female,24,0,0,Yes,Private,Urban,85.55,63.3,never smoked,0 +31201,Female,79,0,0,No,Self-employed,Urban,79.2,32.6,never smoked,0 +59359,Male,79,0,0,Yes,Self-employed,Urban,105.93,25.2,never smoked,0 +57985,Female,27,0,0,Yes,Private,Urban,94.19,27.4,formerly smoked,0 +2885,Male,72,1,0,Yes,Private,Rural,231.71,N/A,Unknown,0 +59743,Male,64,0,1,Yes,Self-employed,Rural,69.28,38.6,formerly smoked,0 +11544,Female,34,0,0,Yes,Private,Urban,71.37,32.9,never smoked,0 +11969,Female,50,0,0,Yes,Self-employed,Urban,110.18,26,formerly smoked,0 +42929,Female,58,0,0,Yes,Self-employed,Rural,59.68,29.2,formerly smoked,0 +72776,Male,26,0,0,Yes,Govt_job,Urban,94.24,29.2,formerly smoked,0 +21438,Female,50,0,0,Yes,Private,Rural,82.1,26.4,Unknown,0 +51084,Female,80,0,0,Yes,Private,Urban,62.62,23.1,formerly smoked,0 +13440,Male,2,0,0,No,children,Urban,107.83,21.2,Unknown,0 +15533,Male,46,0,0,No,Private,Urban,107.59,26.2,formerly smoked,0 +50903,Female,29,0,0,Yes,Private,Urban,116.98,23.4,never smoked,0 +35276,Female,6,0,0,No,children,Rural,84.1,19.8,Unknown,0 +44472,Male,32,0,0,Yes,Self-employed,Urban,160.64,20.4,smokes,0 +23587,Female,16,0,0,No,Never_worked,Urban,84.4,25.9,never smoked,0 +66794,Female,44,0,0,Yes,Govt_job,Rural,81.13,34.1,never smoked,0 +35854,Female,23,0,0,No,Private,Urban,88.19,18.3,never smoked,0 +60907,Male,48,0,0,Yes,Private,Rural,127.13,35,Unknown,0 +12449,Female,34,0,0,Yes,Private,Rural,119.61,26.4,Unknown,0 +54371,Male,78,0,0,Yes,Govt_job,Urban,143.47,27.6,formerly smoked,0 +8106,Female,42,0,0,Yes,Private,Rural,84.6,27,smokes,0 +2013,Male,14,0,0,No,Private,Rural,110.72,N/A,never smoked,0 +61785,Female,40,0,0,No,Private,Rural,158.93,31.3,smokes,0 +2707,Male,10,0,0,No,children,Rural,68.94,18,Unknown,0 +49120,Female,39,0,0,Yes,Govt_job,Rural,69.38,22.1,Unknown,0 +30752,Female,42,0,0,No,Self-employed,Urban,72,34.4,never smoked,0 +64972,Male,47,0,0,Yes,Private,Rural,57.76,33.2,smokes,0 +49537,Male,14,0,0,No,Private,Rural,108.65,23.1,never smoked,0 +315,Male,45,0,0,Yes,Private,Rural,65.42,39.7,never smoked,0 +62814,Male,58,0,0,No,Private,Rural,78.93,40.7,formerly smoked,0 +7665,Female,73,0,0,Yes,Private,Rural,98.34,30.9,Unknown,0 +28108,Female,62,0,0,Yes,Private,Rural,82.57,27.5,Unknown,0 +50536,Female,62,0,1,Yes,Govt_job,Urban,124.37,28.3,never smoked,0 +8655,Female,51,0,1,Yes,Self-employed,Urban,100.96,33.4,never smoked,0 +760,Male,0.8,0,0,No,children,Urban,75.22,33.1,Unknown,0 +47501,Female,57,0,0,Yes,Private,Urban,59.85,41.5,never smoked,0 +16863,Female,8,0,0,No,children,Rural,104.75,17.1,Unknown,0 +51342,Female,69,0,0,Yes,Govt_job,Rural,70.98,30,Unknown,0 +35759,Female,16,0,0,No,Private,Rural,92.77,24.9,Unknown,0 +17270,Female,56,0,0,Yes,Private,Urban,82.12,32.5,smokes,0 +53862,Female,41,0,0,Yes,Govt_job,Rural,106.35,26.1,never smoked,0 +40951,Female,1.24,0,0,No,children,Rural,77.33,19.2,Unknown,0 +56976,Female,42,0,0,Yes,Private,Urban,96.01,38.7,Unknown,0 +37299,Male,57,0,0,Yes,Private,Urban,107.49,29.5,never smoked,0 +33247,Male,20,0,0,No,Private,Rural,88.47,28.1,smokes,0 +32560,Female,8,0,0,No,children,Rural,87.92,14.1,Unknown,0 +10973,Male,43,0,0,Yes,Private,Urban,91.13,33.9,never smoked,0 +3816,Male,62,0,0,Yes,Private,Rural,80.72,26,formerly smoked,0 +50215,Male,42,0,0,No,Govt_job,Rural,59.83,52.8,never smoked,0 +10351,Male,50,0,0,Yes,Private,Urban,67.02,N/A,formerly smoked,0 +69665,Female,63,0,0,Yes,Private,Rural,60.22,29.2,never smoked,0 +14976,Male,80,0,1,Yes,Private,Rural,82.41,26.3,smokes,0 +28183,Female,13,0,0,No,children,Urban,75.78,23.6,Unknown,0 +33085,Female,20,0,0,No,Private,Rural,102.42,18.6,never smoked,0 +13386,Female,71,0,1,Yes,Self-employed,Rural,98.45,29.7,Unknown,0 +15601,Female,50,0,0,Yes,Private,Urban,93.51,30.9,smokes,0 +22254,Female,76,0,0,Yes,Private,Rural,113.68,22.8,Unknown,0 +15539,Female,41,0,0,Yes,Private,Rural,97.41,25.5,never smoked,0 +58235,Male,76,0,0,Yes,Private,Urban,58.65,25.6,smokes,0 +21162,Female,78,0,0,Yes,Self-employed,Rural,81.68,23,Unknown,0 +67880,Male,5,0,0,No,children,Urban,148.52,20.6,Unknown,0 +42545,Male,29,1,0,Yes,Private,Urban,77.55,N/A,formerly smoked,0 +48359,Female,43,0,0,Yes,Private,Rural,142.12,28.4,smokes,0 +54815,Female,49,0,0,Yes,Private,Urban,125.3,29.7,formerly smoked,0 +6233,Male,70,1,0,Yes,Self-employed,Rural,118.81,26,smokes,0 +52225,Male,24,0,0,No,Private,Urban,84.16,37.5,smokes,0 +50463,Female,41,0,0,Yes,Private,Urban,78.74,42.3,smokes,0 +49084,Male,20,0,0,No,Private,Urban,57.51,21.4,Unknown,0 +61889,Male,34,0,0,Yes,Private,Urban,61.11,29.3,never smoked,0 +25525,Male,32,0,0,Yes,Private,Urban,78.3,31,Unknown,0 +9730,Male,27,0,0,Yes,Private,Urban,76.19,22,never smoked,0 +30622,Female,44,0,0,Yes,Govt_job,Rural,115.99,20.9,never smoked,0 +26480,Male,20,0,0,No,Private,Rural,100.8,45.9,never smoked,0 +65895,Female,52,0,0,Yes,Private,Urban,98.27,61.2,Unknown,0 +4913,Female,57,0,0,Yes,Private,Rural,93.85,29.1,never smoked,0 +20676,Male,29,0,0,No,Private,Rural,94.69,28.4,smokes,0 +52410,Female,16,0,0,No,Private,Urban,136.23,22.6,Unknown,0 +57944,Female,35,0,0,Yes,Govt_job,Rural,56.12,24.2,smokes,0 +20290,Female,5,0,0,No,children,Rural,93.03,16.3,Unknown,0 +10875,Male,63,0,0,Yes,Private,Rural,196.81,35.9,never smoked,0 +2393,Male,59,1,0,Yes,Private,Rural,87.81,29.8,formerly smoked,0 +66464,Male,63,0,0,Yes,Private,Urban,222.66,37,formerly smoked,0 +40548,Male,52,0,0,Yes,Private,Rural,223.58,35.8,never smoked,0 +19699,Female,50,0,0,No,Private,Urban,85.77,21.1,never smoked,0 +205,Female,43,0,0,Yes,Private,Rural,88.23,37.6,Unknown,0 +54805,Female,27,0,0,No,Self-employed,Urban,73.65,24.8,Unknown,0 +53195,Male,30,0,0,No,Private,Urban,141.8,31.9,never smoked,0 +9107,Female,8,0,0,No,children,Rural,92.65,17.5,Unknown,0 +65196,Male,75,1,0,Yes,Private,Rural,198.79,N/A,smokes,0 +58833,Male,14,0,0,No,Private,Rural,61.04,17.6,Unknown,0 +4309,Female,23,0,0,Yes,Private,Rural,102.88,38.9,Unknown,0 +55462,Male,6,0,0,No,children,Urban,123.39,15.2,Unknown,0 +51746,Female,37,0,0,Yes,Govt_job,Rural,67.07,27.4,never smoked,0 +59335,Male,38,0,0,Yes,Govt_job,Rural,69.88,27.9,smokes,0 +65644,Male,3,0,0,No,children,Urban,57.02,16.1,Unknown,0 +52790,Female,26,0,0,No,Govt_job,Urban,123.81,39,never smoked,0 +42681,Female,58,0,0,Yes,Govt_job,Rural,73.36,36.6,formerly smoked,0 +33697,Male,57,0,0,Yes,Private,Rural,90.54,33.7,never smoked,0 +51963,Male,58,0,0,Yes,Private,Urban,69.24,27.6,never smoked,0 +13375,Male,76,0,0,Yes,Private,Urban,192.39,31,never smoked,0 +37526,Female,68,1,1,Yes,Private,Rural,233.3,N/A,Unknown,0 +59454,Female,79,0,0,Yes,Self-employed,Urban,74.35,28.5,formerly smoked,0 +23600,Male,34,0,0,Yes,Private,Rural,71.94,31.4,smokes,0 +61245,Male,75,0,0,Yes,Self-employed,Rural,82.35,25.3,never smoked,0 +53489,Male,11,0,0,No,children,Rural,73.28,17.2,never smoked,0 +42284,Male,71,1,0,Yes,Self-employed,Rural,97.57,26.9,Unknown,0 +69089,Female,40,0,0,Yes,Private,Rural,83.3,32,smokes,0 +68970,Female,24,0,0,No,Private,Urban,85.07,22.5,Unknown,0 +42938,Male,0.64,0,0,No,children,Urban,60.4,17.3,Unknown,0 +11327,Female,82,0,0,Yes,Self-employed,Urban,79.96,27,formerly smoked,0 +5464,Male,32,0,0,Yes,Private,Rural,70.96,33.1,Unknown,0 +56995,Female,81,0,0,Yes,Private,Urban,82.86,25,never smoked,0 +53646,Female,33,1,0,No,Private,Rural,97.87,N/A,smokes,0 +45139,Female,79,0,1,Yes,Private,Rural,201.38,31.1,never smoked,0 +38354,Female,62,0,0,Yes,Self-employed,Urban,91.82,19.6,Unknown,0 +15566,Male,39,0,0,Yes,Private,Rural,91.85,24.7,smokes,0 +4793,Female,60,1,0,Yes,Self-employed,Urban,99.23,48,formerly smoked,0 +59223,Male,48,0,0,Yes,Private,Urban,68.13,38,formerly smoked,0 +30927,Male,24,0,0,No,Private,Rural,93.76,24,formerly smoked,0 +966,Female,70,1,0,Yes,Self-employed,Rural,103.89,30,never smoked,0 +62923,Female,17,0,0,No,Private,Urban,87.39,24.6,Unknown,0 +30627,Female,56,0,0,Yes,Govt_job,Urban,89.53,23.1,Unknown,0 +17236,Female,3,0,0,No,children,Urban,66.61,17.4,Unknown,0 +27566,Male,65,0,0,Yes,Private,Rural,236.14,43.1,Unknown,0 +6368,Male,72,0,1,Yes,Private,Urban,99.76,27.1,formerly smoked,0 +33876,Male,10,0,0,No,children,Urban,87.09,14.3,Unknown,0 +52164,Male,29,0,0,Yes,Private,Urban,193.81,46.8,never smoked,0 +32446,Female,44,0,0,Yes,Private,Rural,97.27,26,never smoked,0 +56855,Male,46,0,0,Yes,Private,Urban,137.77,29.3,never smoked,0 +43837,Male,33,0,0,Yes,Private,Urban,105.19,50.1,smokes,0 +5477,Male,63,0,1,Yes,Self-employed,Urban,82.72,N/A,never smoked,0 +64974,Male,0.24,0,0,No,children,Urban,58.35,18.6,Unknown,0 +33976,Male,55,0,0,Yes,Private,Urban,68.79,27,never smoked,0 +31019,Female,56,0,0,Yes,Private,Urban,94.19,25.7,never smoked,0 +4699,Male,50,0,0,No,Govt_job,Rural,121.17,25.5,formerly smoked,0 +60276,Male,78,1,1,Yes,Self-employed,Rural,106.41,27.3,never smoked,0 +24420,Male,63,0,0,Yes,Private,Rural,104.79,24.1,Unknown,0 +28478,Female,31,0,0,Yes,Private,Urban,82.18,42.7,never smoked,0 +63236,Male,65,0,0,Yes,Private,Urban,96.81,41.2,smokes,0 +6324,Male,51,0,0,Yes,Private,Rural,107.42,20.2,formerly smoked,0 +62059,Male,60,0,0,Yes,Private,Rural,69.2,30.9,never smoked,0 +28400,Male,69,0,0,Yes,Self-employed,Urban,92.73,27.7,never smoked,0 +5841,Female,23,0,0,No,Private,Urban,86.11,22.3,never smoked,0 +5681,Male,46,0,0,Yes,Private,Rural,111.78,39.4,smokes,0 +16587,Female,16,0,0,No,Private,Urban,122.26,34.2,never smoked,0 +3477,Female,26,0,0,No,Private,Rural,78.16,20.1,never smoked,0 +23890,Female,44,1,0,Yes,Govt_job,Rural,105.77,36.8,never smoked,0 +3803,Female,56,0,0,Yes,Private,Urban,102.97,N/A,smokes,0 +34068,Female,23,0,0,Yes,Govt_job,Urban,77.53,33.9,formerly smoked,0 +60145,Female,38,0,0,Yes,Private,Urban,77.35,27.7,never smoked,0 +11702,Female,18,0,0,No,Never_worked,Urban,82.36,22.7,Unknown,0 +50508,Female,63,0,1,Yes,Self-employed,Rural,239.95,32.2,smokes,0 +65473,Male,23,0,0,No,Private,Urban,61.96,22,smokes,0 +51257,Male,32,0,0,No,Private,Rural,72.1,23.2,never smoked,0 +47810,Male,8,0,0,No,children,Rural,107.97,26.7,Unknown,0 +38737,Male,77,0,0,Yes,Self-employed,Urban,60.77,23,smokes,0 +39060,Female,41,0,0,Yes,Private,Urban,71.06,23.4,never smoked,0 +56804,Female,34,0,0,No,Govt_job,Urban,60.36,24.1,never smoked,0 +45099,Male,25,0,0,Yes,Self-employed,Urban,83.33,31.5,Unknown,0 +22221,Female,35,0,0,Yes,Self-employed,Urban,65.33,26.1,never smoked,0 +57134,Male,15,0,0,No,children,Urban,113.28,23.7,never smoked,0 +57609,Male,1.64,0,0,No,children,Urban,170.88,20.8,Unknown,0 +6132,Male,4,0,0,No,children,Urban,103.34,18.8,Unknown,0 +31600,Female,33,0,0,No,Private,Rural,106.08,32.5,formerly smoked,0 +51497,Male,28,0,0,Yes,Self-employed,Urban,156.45,24.3,never smoked,0 +48455,Female,37,0,0,Yes,Private,Urban,60.05,24.1,Unknown,0 +13049,Female,50,0,0,Yes,Private,Rural,114.05,32.5,never smoked,0 +9079,Female,76,0,1,Yes,Self-employed,Urban,202.21,39.3,formerly smoked,0 +68568,Female,72,0,0,Yes,Self-employed,Rural,57.28,23.9,never smoked,0 +72867,Male,16,0,0,No,Private,Rural,99.49,22,Unknown,0 +53121,Male,44,0,0,Yes,Private,Urban,63.6,37.3,never smoked,0 +33779,Male,46,0,1,Yes,Govt_job,Urban,80.01,33,formerly smoked,0 +52367,Male,46,0,0,Yes,Private,Urban,58.42,24.7,formerly smoked,0 +29314,Female,73,1,1,Yes,Govt_job,Urban,67.38,32.8,formerly smoked,0 +18366,Female,29,0,0,Yes,Self-employed,Rural,73.58,29.8,Unknown,0 +32522,Male,19,0,0,No,Private,Urban,103.92,24.1,Unknown,0 +3980,Female,27,0,0,No,Private,Rural,80.22,21.6,never smoked,0 +5350,Female,36,0,0,Yes,Private,Rural,103.76,27.1,never smoked,0 +3428,Female,61,0,0,Yes,Self-employed,Urban,77.06,27,never smoked,0 +62552,Female,9,0,0,No,children,Rural,90.22,18.7,Unknown,0 +51085,Female,25,0,0,No,Private,Urban,181.3,35.8,never smoked,0 +60586,Female,68,0,0,Yes,Private,Rural,85.29,27.1,formerly smoked,0 +59988,Female,26,1,0,Yes,Private,Urban,107.59,33.1,smokes,0 +34122,Female,17,0,0,No,Private,Urban,87.72,25.9,smokes,0 +11392,Male,75,0,0,Yes,Private,Rural,70.73,26.7,smokes,0 +53632,Male,34,0,0,No,Govt_job,Urban,72.75,22.2,Unknown,0 +32202,Male,53,0,0,Yes,Private,Rural,95.47,26,smokes,0 +52489,Female,18,0,0,No,Private,Urban,70.54,23.5,Unknown,0 +13374,Male,48,0,0,Yes,Private,Urban,100.03,23.5,never smoked,0 +66370,Female,5,0,0,No,children,Rural,59.78,15.9,Unknown,0 +259,Male,79,0,0,Yes,Private,Urban,198.79,24.9,never smoked,0 +12092,Male,16,0,0,No,Private,Rural,90.39,26.5,never smoked,0 +38263,Female,32,0,0,Yes,Private,Rural,147.04,35.7,Unknown,0 +1666,Male,70,0,0,Yes,Govt_job,Urban,202.55,N/A,formerly smoked,0 +48922,Male,55,1,1,Yes,Private,Rural,64.92,32.1,smokes,0 +58061,Female,70,1,0,Yes,Self-employed,Rural,154.6,28.5,formerly smoked,0 +50283,Female,51,0,0,Yes,Private,Urban,95.98,40.1,smokes,0 +26605,Female,39,0,0,Yes,Private,Rural,102.51,26.6,smokes,0 +10396,Male,79,1,0,No,Private,Urban,96.52,21.7,Unknown,0 +14695,Male,80,1,0,Yes,Self-employed,Rural,232.12,28.8,never smoked,0 +2579,Female,34,0,0,Yes,Self-employed,Rural,78.12,32,Unknown,0 +71061,Male,59,0,0,Yes,Govt_job,Urban,70.04,31.4,never smoked,0 +41250,Female,54,0,0,Yes,Private,Rural,97.61,32.1,smokes,0 +53923,Female,22,0,0,No,Private,Urban,113.11,19.8,Unknown,0 +54139,Female,21,0,0,No,Private,Rural,71.06,25.3,formerly smoked,0 +32430,Female,4,0,0,No,children,Rural,104.95,28.8,Unknown,0 +14928,Female,26,0,0,No,Private,Urban,81.94,26,smokes,0 +32457,Male,62,0,0,Yes,Private,Urban,96.37,30.7,formerly smoked,0 +59718,Female,33,0,0,Yes,Private,Rural,114.16,43.3,never smoked,0 +4948,Male,51,0,0,Yes,Self-employed,Rural,93.58,35.2,smokes,0 +40870,Female,75,0,0,Yes,Govt_job,Urban,73.89,20.9,Unknown,0 +2218,Male,42,0,0,Yes,Private,Rural,107.83,35.3,smokes,0 +57494,Female,82,1,0,Yes,Self-employed,Urban,107.21,27,formerly smoked,0 +1534,Female,61,0,0,Yes,Private,Rural,99.35,26.1,smokes,0 +69329,Female,62,0,0,Yes,Private,Rural,203.57,29.1,Unknown,0 +39852,Male,59,1,1,Yes,Govt_job,Rural,81.51,32.6,never smoked,0 +65358,Female,31,0,0,Yes,Private,Rural,69.26,21.8,formerly smoked,0 +36488,Male,12,0,0,No,children,Urban,111.47,32.3,never smoked,0 +55567,Female,76,0,1,Yes,Private,Rural,86.09,28.1,never smoked,0 +33562,Male,71,0,1,Yes,Govt_job,Rural,72.94,32.3,formerly smoked,0 +20006,Female,15,0,0,No,Private,Urban,76.77,21.7,Unknown,0 +47696,Male,44,0,0,Yes,Private,Rural,60.32,25,never smoked,0 +60117,Male,30,0,0,No,Private,Rural,133.24,28.9,never smoked,0 +5032,Female,47,0,0,Yes,Private,Rural,65.01,21.7,formerly smoked,0 +5780,Female,47,0,0,Yes,Private,Urban,74.63,45.3,never smoked,0 +52236,Female,60,0,0,Yes,Private,Rural,230.78,40.2,never smoked,0 +59752,Male,62,0,0,Yes,Private,Urban,72.5,22.5,formerly smoked,0 +47005,Female,47,0,0,Yes,Private,Urban,68.48,21.3,never smoked,0 +4750,Male,78,0,0,Yes,Private,Urban,85.03,26.1,formerly smoked,0 +65127,Female,35,0,0,Yes,Private,Urban,80.76,28.8,smokes,0 +4498,Male,71,0,1,Yes,Private,Urban,204.98,N/A,formerly smoked,0 +32203,Female,57,0,0,Yes,Self-employed,Rural,95.36,32.4,formerly smoked,0 +27436,Male,12,0,0,No,children,Urban,110.33,20.4,Unknown,0 +34999,Male,26,0,0,Yes,Private,Urban,89.18,25.9,formerly smoked,0 +4213,Male,33,0,0,No,Self-employed,Rural,91.53,38.8,formerly smoked,0 +71669,Male,60,0,0,Yes,Private,Rural,65.16,30.8,never smoked,0 +36803,Female,35,0,0,No,Private,Rural,74.53,24.6,never smoked,0 +17725,Female,10,0,0,No,children,Rural,93.29,20.6,Unknown,0 +57983,Male,50,0,0,Yes,Govt_job,Urban,227.89,38.8,formerly smoked,0 +68089,Female,44,0,0,Yes,Private,Urban,121.46,40.4,Unknown,0 +3135,Female,73,0,0,No,Self-employed,Rural,69.35,N/A,never smoked,0 +563,Female,41,0,0,Yes,Private,Rural,216.71,36.2,never smoked,0 +19364,Female,7,0,0,No,children,Rural,74.96,18.8,Unknown,0 +34590,Male,45,0,0,Yes,Self-employed,Rural,75.25,27.6,smokes,0 +55459,Female,60,0,0,No,Private,Rural,91.82,28.3,formerly smoked,0 +38724,Female,49,1,0,Yes,Govt_job,Urban,56.37,39.4,smokes,0 +52968,Female,45,0,0,Yes,Self-employed,Rural,149.15,33.5,Unknown,0 +35716,Female,55,1,0,Yes,Private,Urban,202.67,40.4,formerly smoked,0 +51421,Female,54,0,0,Yes,Private,Rural,65.38,25.9,Unknown,0 +72525,Female,39,0,0,Yes,Private,Urban,90.31,27.6,smokes,0 +33009,Male,76,0,0,Yes,Self-employed,Rural,221.8,44.7,formerly smoked,0 +35437,Female,28,0,0,Yes,Private,Rural,73.39,30.8,Unknown,0 +37253,Female,70,1,0,Yes,Private,Urban,147.12,22.3,formerly smoked,0 +46171,Male,28,0,0,Yes,Private,Urban,109.85,27.9,Unknown,0 +18143,Male,79,0,0,Yes,Self-employed,Rural,103.21,22.9,formerly smoked,0 +35330,Male,30,0,0,Yes,Private,Urban,81.25,27.3,smokes,0 +32127,Female,26,0,0,Yes,Govt_job,Urban,84.69,25,never smoked,0 +69834,Female,57,0,0,Yes,Govt_job,Rural,87.1,48.3,smokes,0 +56311,Female,16,0,0,No,Private,Rural,81.92,22.7,Unknown,0 +13439,Male,40,1,0,Yes,Private,Urban,90.91,39.1,Unknown,0 +36366,Male,77,0,0,Yes,Govt_job,Urban,64.4,27.8,never smoked,0 +13111,Female,67,1,0,Yes,Private,Rural,85.48,N/A,smokes,0 +28932,Female,36,0,0,Yes,Private,Rural,67.29,36.7,formerly smoked,0 +67521,Female,40,1,0,Yes,Private,Urban,124.48,38.5,Unknown,0 +65688,Male,2,0,1,No,children,Urban,62.89,29.4,Unknown,0 +58761,Male,52,0,0,Yes,Private,Urban,87.51,30.5,formerly smoked,0 +21192,Female,78,0,0,Yes,Private,Urban,93.15,23.6,Unknown,0 +72348,Female,22,0,0,No,Private,Urban,64.87,20.6,Unknown,0 +1825,Male,33,0,0,Yes,Self-employed,Urban,90.68,31.7,smokes,0 +25674,Male,40,0,0,Yes,Private,Urban,104.64,24.9,Unknown,0 +33035,Female,20,0,0,No,Private,Urban,92.44,33.4,never smoked,0 +54297,Male,19,0,0,No,Private,Rural,120.46,22.2,Unknown,0 +9122,Male,25,0,0,Yes,Private,Urban,89.87,26.5,never smoked,0 +1218,Female,23,0,0,No,Private,Urban,105.28,27.1,formerly smoked,0 +57210,Female,28,0,0,Yes,Private,Rural,131.8,30.3,never smoked,0 +37096,Female,6,0,0,No,children,Rural,66.33,18.6,Unknown,0 +38243,Female,37,0,0,Yes,Private,Rural,101.07,26.4,Unknown,0 +17198,Female,10,0,0,No,children,Rural,83.37,17.8,formerly smoked,0 +70884,Female,34,0,0,Yes,Private,Urban,79.8,37.4,smokes,0 +51809,Female,60,0,0,Yes,Self-employed,Rural,103.17,32.1,formerly smoked,0 +40602,Female,22,0,0,No,Private,Urban,62.52,38.2,never smoked,0 +65116,Female,62,1,0,Yes,Self-employed,Urban,75.78,N/A,smokes,0 +70455,Female,52,0,0,Yes,Govt_job,Urban,110.36,39.1,formerly smoked,0 +41618,Male,61,0,0,No,Private,Rural,140.07,29.5,never smoked,0 +21209,Female,10,0,0,No,children,Rural,84.86,28.6,never smoked,0 +26103,Male,36,0,0,Yes,Private,Rural,106.85,40.1,never smoked,0 +10436,Female,29,0,0,Yes,Private,Rural,102.07,31.8,never smoked,0 +16550,Female,69,0,1,No,Govt_job,Urban,202.38,34.6,Unknown,0 +17697,Female,62,0,0,Yes,Govt_job,Urban,67.07,24.5,never smoked,0 +10744,Male,62,0,1,Yes,Govt_job,Rural,73.7,26.2,never smoked,0 +7799,Female,79,0,0,No,Self-employed,Urban,77.59,33,never smoked,0 +57183,Male,13,0,0,No,children,Rural,69.16,22.3,Unknown,0 +121,Female,38,0,0,Yes,Private,Urban,91.44,N/A,Unknown,0 +32604,Male,49,0,0,Yes,Self-employed,Rural,215.81,58.1,never smoked,0 +49883,Female,41,0,0,Yes,Private,Rural,65.4,36.9,formerly smoked,0 +68242,Male,56,0,0,Yes,Private,Urban,139.72,43.9,never smoked,0 +33726,Female,8,0,0,No,children,Urban,72.81,18.2,Unknown,0 +56255,Female,24,0,0,No,Private,Urban,149.17,23.1,never smoked,0 +46455,Female,61,0,0,Yes,Private,Urban,125.74,32.6,Unknown,0 +13270,Female,40,0,0,No,Govt_job,Urban,90.21,41.2,never smoked,0 +38067,Female,22,0,0,No,Private,Urban,139.48,28.6,formerly smoked,0 +9160,Female,80,1,0,Yes,Private,Urban,90.77,26,never smoked,0 +52843,Female,60,1,1,Yes,Private,Urban,220.24,36.8,never smoked,0 +67343,Female,57,0,0,Yes,Private,Rural,81.42,35.8,never smoked,0 +50805,Female,55,0,0,Yes,Private,Urban,102.36,24.2,never smoked,0 +10826,Female,39,0,0,Yes,Self-employed,Urban,82.85,22.9,smokes,0 +60358,Female,51,0,0,Yes,Private,Urban,102.11,23.1,never smoked,0 +72231,Female,47,0,0,Yes,Self-employed,Rural,195.61,N/A,never smoked,0 +58586,Male,77,1,1,Yes,Self-employed,Urban,80.92,28.9,smokes,0 +50499,Female,32,0,0,Yes,Private,Rural,71.8,26.5,never smoked,0 +18986,Female,45,0,0,No,Self-employed,Urban,88.47,29.3,never smoked,0 +51177,Female,49,0,0,Yes,Private,Urban,67.68,24.8,formerly smoked,0 +575,Male,13,0,0,No,children,Rural,98.65,20.1,Unknown,0 +47321,Female,74,0,0,Yes,Private,Rural,83.58,18.2,never smoked,0 +7754,Female,72,0,0,Yes,Self-employed,Rural,104.04,34.7,formerly smoked,0 +66270,Female,57,0,0,Yes,Private,Rural,69.4,24,Unknown,0 +2814,Male,51,1,0,No,Govt_job,Urban,106.22,29,never smoked,0 +52847,Female,55,0,0,Yes,Private,Rural,112.46,27.3,never smoked,0 +60235,Male,73,0,1,Yes,Private,Rural,72.42,27.6,never smoked,0 +10981,Male,12,0,0,No,children,Rural,96.73,20.4,never smoked,0 +62833,Female,6,0,0,No,children,Urban,107.4,17.7,Unknown,0 +26267,Female,76,0,0,Yes,Self-employed,Urban,267.61,27.9,smokes,0 +69918,Female,38,1,0,Yes,Private,Rural,109.46,41.5,never smoked,0 +44927,Female,50,0,0,Yes,Govt_job,Rural,120.05,27.4,Unknown,0 +20169,Female,75,0,0,Yes,Private,Rural,106.33,27.8,Unknown,0 +31481,Female,1.16,0,0,No,children,Urban,97.28,17.8,Unknown,0 +27721,Male,32,0,0,Yes,Private,Rural,83.13,32,smokes,0 +71419,Male,12,0,0,No,children,Urban,97.35,37.3,Unknown,0 +25642,Male,32,0,0,No,Private,Urban,79.54,28.1,Unknown,0 +31932,Female,13,0,0,No,children,Urban,76.55,29.1,Unknown,0 +13629,Male,1.32,0,0,No,children,Urban,56.11,22.9,Unknown,0 +38258,Female,63,0,0,Yes,Private,Rural,91.36,38.8,formerly smoked,0 +70602,Female,29,0,0,No,Private,Rural,79.27,29,smokes,0 +60056,Male,53,0,0,Yes,Private,Urban,113.21,28.6,smokes,0 +31156,Female,49,0,0,Yes,Private,Urban,105.99,29.8,never smoked,0 +69643,Male,81,0,0,Yes,Private,Rural,59.93,28.9,formerly smoked,0 +23171,Male,66,0,0,Yes,Private,Rural,88.83,29.1,Unknown,0 +42309,Female,42,0,0,Yes,Private,Urban,73.37,N/A,smokes,0 +2877,Female,61,0,0,Yes,Private,Urban,115.42,16.7,smokes,0 +37011,Female,52,0,0,Yes,Private,Rural,71.93,34.1,Unknown,0 +355,Male,8,0,0,No,children,Rural,96.43,25.7,Unknown,0 +53252,Male,82,0,0,No,Self-employed,Urban,161.95,30.8,never smoked,0 +3553,Female,43,0,0,Yes,Govt_job,Urban,104.55,23.9,smokes,0 +72178,Female,4,0,0,No,children,Urban,71.25,18.8,Unknown,0 +11817,Male,58,0,0,Yes,Govt_job,Urban,160.87,N/A,formerly smoked,0 +26468,Female,45,0,0,Yes,Govt_job,Urban,82.02,41.8,smokes,0 +13176,Female,62,1,0,Yes,Private,Urban,78.02,36.4,never smoked,0 +67032,Male,42,0,0,No,Govt_job,Urban,115.21,28.7,Unknown,0 +39784,Female,72,0,0,Yes,Self-employed,Urban,65.12,28.3,never smoked,0 +56156,Other,26,0,0,No,Private,Rural,143.33,22.4,formerly smoked,0 +15230,Female,9,0,0,No,children,Rural,80.55,15.1,Unknown,0 +25218,Female,31,0,0,Yes,Govt_job,Urban,88.2,22.7,never smoked,0 +39637,Female,20,0,0,No,Private,Rural,147.42,26.6,Unknown,0 +26777,Male,22,0,0,No,Private,Rural,86.53,20.8,never smoked,0 +60533,Female,23,0,0,No,Private,Rural,91.95,23,Unknown,0 +44375,Female,57,1,0,Yes,Self-employed,Rural,63.72,35.8,smokes,0 +49848,Male,52,0,0,Yes,Private,Rural,63.78,29.9,never smoked,0 +65413,Female,64,0,0,Yes,Private,Urban,55.64,43.4,never smoked,0 +31161,Female,26,0,0,No,Govt_job,Urban,88.88,36.3,never smoked,0 +61787,Male,54,0,0,Yes,Self-employed,Urban,114.61,40.1,formerly smoked,0 +53482,Male,32,0,0,No,Self-employed,Rural,56.08,35.9,formerly smoked,0 +71387,Female,66,0,0,Yes,Govt_job,Rural,59.62,32.4,never smoked,0 +7577,Male,13,0,0,No,children,Urban,75.85,20.3,Unknown,0 +34400,Female,77,1,0,Yes,Self-employed,Rural,176.71,33.2,never smoked,0 +45175,Male,18,0,0,No,Private,Urban,80.07,22.3,Unknown,0 +71192,Male,11,0,0,No,children,Rural,56.33,18.1,Unknown,0 +26997,Female,16,0,0,No,Private,Urban,87.16,28.2,never smoked,0 +33532,Female,73,0,1,Yes,Private,Rural,102.46,29.7,never smoked,0 +33704,Male,44,1,0,Yes,Private,Rural,84.1,N/A,Unknown,0 +51897,Male,36,0,0,Yes,Private,Rural,161,29,smokes,0 +43016,Male,10,0,0,No,children,Urban,70.7,25.4,Unknown,0 +3370,Female,54,0,0,Yes,Private,Rural,81.26,26.5,Unknown,0 +39984,Female,42,0,0,Yes,Govt_job,Rural,157.67,22.7,formerly smoked,0 +59232,Female,52,0,0,Yes,Self-employed,Urban,89.59,27.5,Unknown,0 +57896,Male,32,0,0,Yes,Private,Urban,64.02,23.8,smokes,0 +21917,Male,43,0,0,Yes,Govt_job,Rural,110.69,35.6,Unknown,0 +66435,Female,28,0,0,Yes,Private,Rural,71.97,27.2,never smoked,0 +3442,Female,79,0,0,No,Self-employed,Rural,82.07,30.4,Unknown,0 +48064,Male,11,0,0,No,children,Rural,65.07,21.5,never smoked,0 +13358,Female,75,0,0,Yes,Self-employed,Rural,207.62,31.8,never smoked,0 +64986,Male,55,0,0,Yes,Private,Urban,108.64,29.5,never smoked,0 +6032,Male,78,0,0,Yes,Self-employed,Urban,201.58,30.6,Unknown,0 +52924,Female,48,0,0,Yes,Private,Urban,116.2,27.6,formerly smoked,0 +69979,Male,73,0,0,Yes,Self-employed,Rural,231.43,23,smokes,0 +50489,Female,56,0,0,Yes,Govt_job,Urban,112.62,24.8,never smoked,0 +20094,Male,54,1,0,Yes,Private,Urban,220.26,28,formerly smoked,0 +16618,Female,55,0,0,Yes,Private,Urban,84.37,22.2,Unknown,0 +63280,Female,65,0,0,Yes,Private,Rural,82.83,27.8,formerly smoked,0 +14551,Female,69,0,0,No,Private,Urban,102.48,30.2,formerly smoked,0 +22098,Female,29,0,0,Yes,Self-employed,Rural,69.12,26.8,never smoked,0 +17771,Female,64,1,0,Yes,Govt_job,Urban,211.12,22,never smoked,0 +11803,Female,16,0,0,No,Private,Rural,95.38,34.3,formerly smoked,0 +34356,Female,75,0,0,Yes,Private,Rural,108.72,29.2,formerly smoked,0 +26528,Female,17,0,0,No,Private,Rural,88.65,30.3,never smoked,0 +51554,Male,42,0,0,Yes,Private,Urban,177.91,N/A,Unknown,0 +2296,Male,78,1,0,Yes,Self-employed,Urban,90.19,N/A,Unknown,0 +10624,Male,24,0,0,Yes,Private,Rural,73.78,21.4,smokes,0 +1681,Female,68,0,0,No,Private,Urban,82.85,N/A,smokes,0 +36375,Male,50,0,0,Yes,Private,Rural,59.48,26.6,Unknown,0 +8117,Male,52,0,0,Yes,Private,Rural,75.77,30,formerly smoked,0 +49849,Female,82,0,0,Yes,Private,Rural,80.96,33.7,formerly smoked,0 +19436,Male,56,0,0,Yes,Private,Rural,82.4,30.9,smokes,0 +10523,Male,56,0,0,Yes,Private,Urban,78.93,31.1,Unknown,0 +39322,Male,18,0,0,No,Private,Urban,80.59,23,Unknown,0 +53265,Female,33,0,0,Yes,Self-employed,Urban,70.59,20.2,Unknown,0 +40379,Female,57,0,0,Yes,Private,Rural,98.57,31.6,never smoked,0 +66841,Male,30,0,0,No,Private,Rural,61.87,23.9,Unknown,0 +38900,Female,52,0,0,Yes,Private,Urban,68.88,26.1,Unknown,0 +18180,Female,3,0,0,No,children,Urban,66.25,15.8,Unknown,0 +1183,Male,39,0,0,Yes,Private,Rural,84.18,N/A,smokes,0 +22964,Male,44,0,0,Yes,Govt_job,Rural,69.23,28.7,smokes,0 +64597,Female,33,0,0,Yes,Private,Rural,73.2,28.9,Unknown,0 +23893,Male,24,0,0,Yes,Private,Urban,103.45,25.1,smokes,0 +51564,Female,24,0,0,No,Govt_job,Urban,104.86,19.8,never smoked,0 +14410,Male,54,0,1,Yes,Govt_job,Urban,90.3,30.8,smokes,0 +4964,Female,72,1,0,Yes,Private,Rural,90.87,22.1,never smoked,0 +15020,Female,37,0,0,No,Govt_job,Rural,76.21,20.4,Unknown,0 +27380,Female,36,0,0,Yes,Private,Rural,74.14,31.2,formerly smoked,0 +21523,Female,22,0,0,No,Govt_job,Urban,87.25,24.9,smokes,0 +8819,Female,68,0,0,Yes,Govt_job,Rural,215.33,27,formerly smoked,0 +68408,Male,24,0,0,No,Private,Urban,88.38,20.1,smokes,0 +8976,Female,35,0,0,Yes,Private,Rural,104.4,24.4,never smoked,0 +22290,Female,32,0,0,Yes,Private,Urban,104.92,22.6,never smoked,0 +7700,Female,52,0,0,Yes,Private,Urban,106.54,22.4,never smoked,0 +40503,Male,21,0,0,No,Private,Rural,62.91,26.2,never smoked,0 +47917,Female,82,1,0,No,Private,Rural,61.47,22.9,never smoked,0 +30303,Male,33,0,0,No,Private,Rural,88.5,32.6,formerly smoked,0 +63864,Male,62,0,0,Yes,Private,Rural,107.61,31.3,Unknown,0 +24177,Female,57,1,0,Yes,Private,Urban,90.77,43.9,formerly smoked,0 +57274,Male,14,0,0,No,Never_worked,Urban,137.91,41.8,never smoked,0 +37213,Male,60,0,0,Yes,Self-employed,Rural,212.02,N/A,Unknown,0 +59992,Female,63,1,0,Yes,Self-employed,Urban,228.2,37.7,never smoked,0 +27382,Female,50,0,0,Yes,Govt_job,Urban,92.15,20.8,never smoked,0 +61017,Female,12,0,0,No,children,Urban,126.32,21.6,Unknown,0 +61699,Male,80,0,0,Yes,Private,Rural,94.96,22.1,formerly smoked,0 +14489,Female,74,0,0,No,Self-employed,Urban,89.52,39.2,Unknown,0 +54053,Male,46,0,0,Yes,Private,Rural,66.59,36.7,formerly smoked,0 +38348,Female,66,0,0,Yes,Private,Urban,80.1,32,never smoked,0 +17668,Male,26,0,0,Yes,Self-employed,Urban,73.72,25.9,smokes,0 +11792,Female,70,0,0,Yes,Private,Urban,90.49,28.9,formerly smoked,0 +22917,Female,62,0,0,Yes,Private,Urban,92.99,29.3,formerly smoked,0 +36204,Male,15,0,0,No,children,Rural,62.57,32.3,never smoked,0 +49554,Male,67,0,0,Yes,Private,Rural,65.51,33.2,formerly smoked,0 +72594,Male,63,0,0,Yes,Private,Urban,95.29,31.6,smokes,0 +28027,Female,42,0,0,Yes,Govt_job,Urban,83.7,20.6,never smoked,0 +54177,Female,49,1,0,Yes,Govt_job,Rural,63.16,23.3,formerly smoked,0 +32602,Male,78,0,1,Yes,Self-employed,Urban,87.77,30.8,Unknown,0 +1213,Female,31,0,0,Yes,Self-employed,Urban,87.23,N/A,formerly smoked,0 +21534,Male,67,0,0,Yes,Private,Urban,260.85,N/A,Unknown,0 +6852,Female,52,1,0,Yes,Self-employed,Rural,104.45,N/A,never smoked,0 +3379,Female,61,0,0,Yes,Private,Urban,87.52,23.7,Unknown,0 +41146,Male,41,0,0,Yes,Private,Rural,113.65,49.3,never smoked,0 +20391,Female,73,0,0,Yes,Govt_job,Rural,65.93,30.3,never smoked,0 +69379,Female,64,1,0,Yes,Self-employed,Urban,93.78,24.4,never smoked,0 +34778,Male,65,0,0,Yes,Private,Rural,223.9,28.2,formerly smoked,0 +49270,Female,81,0,0,Yes,Private,Urban,77.54,33.8,Unknown,0 +55407,Female,47,0,0,Yes,Private,Urban,93.18,42.6,formerly smoked,0 +36744,Male,40,0,0,Yes,Self-employed,Rural,169.74,31.9,never smoked,0 +26603,Male,46,1,0,Yes,Self-employed,Urban,101.93,34,Unknown,0 +71414,Female,2,0,0,No,children,Urban,125.03,19.8,Unknown,0 +14517,Male,56,0,0,Yes,Private,Urban,82.25,30.5,formerly smoked,0 +69050,Male,54,0,0,Yes,Private,Urban,85.81,21.7,formerly smoked,0 +52080,Female,26,0,0,No,Private,Rural,85.27,24.6,never smoked,0 +27493,Female,45,0,0,Yes,Private,Urban,86.06,38.1,never smoked,0 +6295,Female,57,0,0,Yes,Govt_job,Urban,104.36,19.2,smokes,0 +20375,Female,78,0,0,Yes,Private,Urban,78.29,30.1,formerly smoked,0 +29017,Male,2,0,0,No,children,Urban,93.55,23.3,Unknown,0 +56635,Male,76,1,0,Yes,Self-employed,Rural,207.96,34.5,formerly smoked,0 +4280,Female,51,0,0,Yes,Govt_job,Rural,105.52,30.8,never smoked,0 +22896,Female,54,0,0,Yes,Private,Rural,109.27,43.8,formerly smoked,0 +70297,Female,36,0,0,Yes,Private,Urban,91.34,29.9,never smoked,0 +47776,Female,57,0,0,Yes,Govt_job,Rural,176.78,50.4,never smoked,0 +53141,Female,25,0,0,No,Private,Rural,67.73,22.6,never smoked,0 +16145,Female,7,0,0,No,children,Rural,73.27,19.5,Unknown,0 +41593,Female,76,0,0,Yes,Self-employed,Rural,70.29,33.4,formerly smoked,0 +50651,Female,45,0,0,No,Private,Rural,91.47,24.2,Unknown,0 +11111,Female,66,1,0,Yes,Govt_job,Urban,205.01,52.7,formerly smoked,0 +15803,Female,45,0,0,Yes,Private,Rural,73.87,25.6,Unknown,0 +71597,Female,79,1,0,Yes,Private,Rural,64.44,26.9,formerly smoked,0 +22804,Female,25,0,0,No,Private,Rural,111.65,35.2,formerly smoked,0 +64498,Female,53,0,0,Yes,Private,Rural,90.65,22.1,formerly smoked,0 +41182,Female,35,1,0,Yes,Private,Urban,94.2,34.4,smokes,0 +56606,Female,78,0,0,Yes,Self-employed,Urban,56.95,26,Unknown,0 +36958,Female,32,0,0,Yes,Private,Rural,92.37,26.9,never smoked,0 +14877,Male,0.56,0,0,No,children,Rural,127.23,20.1,Unknown,0 +65988,Female,26,0,0,No,Private,Rural,191.78,24.7,Unknown,0 +50001,Female,34,0,0,Yes,Govt_job,Rural,86.36,32.1,smokes,0 +27034,Female,65,0,0,Yes,Govt_job,Urban,82.72,29.8,smokes,0 +8950,Female,15,0,0,No,Private,Urban,113.57,27.5,formerly smoked,0 +31850,Female,17,0,0,No,Private,Urban,89.58,22.8,Unknown,0 +14288,Female,71,0,0,Yes,Private,Rural,91.85,27.6,formerly smoked,0 +3180,Female,42,0,0,Yes,Govt_job,Urban,88.89,33,never smoked,0 +13899,Male,30,0,0,Yes,Private,Urban,79.55,33.7,never smoked,0 +23730,Female,75,0,0,Yes,Self-employed,Urban,108.62,25.1,Unknown,0 +6011,Male,9,0,0,No,children,Urban,78.24,15.3,Unknown,0 +14376,Male,47,0,0,Yes,Private,Rural,88.49,22.2,smokes,0 +22052,Female,75,1,0,No,Self-employed,Rural,91.85,21.4,formerly smoked,0 +24836,Female,61,0,0,Yes,Private,Rural,72.01,26,formerly smoked,0 +11861,Male,61,0,0,Yes,Self-employed,Rural,81.96,29.9,never smoked,0 +25613,Female,27,0,0,Yes,Private,Urban,70.56,28.6,smokes,0 +71496,Female,55,0,0,Yes,Private,Urban,71.02,21.2,never smoked,0 +24074,Female,2,0,0,No,children,Rural,99.75,16,Unknown,0 +44937,Female,51,0,0,Yes,Govt_job,Urban,127.2,22.7,never smoked,0 +72082,Female,45,0,0,Yes,Self-employed,Rural,69.76,25.3,smokes,0 +53271,Male,36,0,0,Yes,Private,Rural,74.63,31.6,formerly smoked,0 +34077,Male,46,0,0,Yes,Govt_job,Rural,102.27,38.9,formerly smoked,0 +42330,Female,48,0,0,Yes,Private,Rural,73.56,27.1,smokes,0 +69487,Female,79,0,0,Yes,Self-employed,Urban,57.77,24.1,formerly smoked,0 +70973,Female,50,0,0,Yes,Govt_job,Urban,151.25,31.5,never smoked,0 +44986,Female,79,0,0,Yes,Self-employed,Urban,78.32,32,Unknown,0 +2633,Male,32,0,0,Yes,Private,Rural,71.5,31.8,never smoked,0 +21834,Female,36,0,0,Yes,Private,Urban,84.7,34,never smoked,0 +49196,Female,27,0,0,Yes,Private,Urban,127.28,23.4,Unknown,0 +22939,Female,22,0,0,No,Private,Rural,80.72,29.3,Unknown,0 +55400,Female,5,0,0,No,children,Rural,73.92,17.2,Unknown,0 +30870,Male,9,0,0,No,children,Urban,93.24,31.9,Unknown,0 +247,Male,31,0,0,No,Private,Urban,72.6,31.6,never smoked,0 +7979,Female,26,0,0,No,Private,Rural,69.77,23.2,never smoked,0 +56189,Male,43,0,0,No,Govt_job,Urban,84.43,30,smokes,0 +3984,Female,33,0,0,Yes,Private,Rural,84.13,26.3,never smoked,0 +49753,Male,34,0,0,No,Self-employed,Rural,81.54,31.8,formerly smoked,0 +71719,Male,66,0,0,Yes,Govt_job,Rural,57.17,25.5,formerly smoked,0 +11313,Female,44,0,0,Yes,Private,Rural,86.15,21.3,never smoked,0 +38070,Female,56,0,0,Yes,Private,Rural,163.02,29.6,never smoked,0 +50455,Female,67,0,0,Yes,Self-employed,Urban,110.41,28.7,never smoked,0 +31766,Male,18,0,0,No,Private,Rural,102.58,30.8,never smoked,0 +24245,Male,55,0,0,Yes,Private,Urban,90.97,32.1,Unknown,0 +50726,Male,61,0,0,Yes,Private,Rural,140.96,34,smokes,0 +29955,Male,0.08,0,0,No,children,Rural,70.33,16.9,Unknown,0 +64742,Male,48,0,0,No,Self-employed,Rural,64.18,32.1,never smoked,0 +48518,Male,44,0,0,Yes,Self-employed,Rural,127.57,22.6,never smoked,0 +42999,Female,68,0,0,Yes,Private,Urban,109.23,31.3,never smoked,0 +71447,Male,52,0,1,Yes,Private,Urban,124.49,29,never smoked,0 +61437,Male,15,0,0,No,Govt_job,Rural,142.82,27.6,never smoked,0 +50428,Male,2,0,0,No,children,Rural,75.69,17.7,Unknown,0 +8816,Male,60,0,0,Yes,Private,Urban,74.08,35.9,Unknown,0 +49556,Female,37,0,0,Yes,Govt_job,Urban,75.98,33.8,Unknown,0 +67654,Female,5,0,0,No,children,Rural,57.8,17.6,Unknown,0 +21989,Female,25,0,0,No,Private,Urban,76.44,48.3,Unknown,0 +46434,Male,52,1,0,Yes,Govt_job,Urban,214.43,39.9,smokes,0 +3205,Female,79,0,0,Yes,Self-employed,Urban,79.03,11.3,Unknown,0 +68692,Male,61,1,0,Yes,Private,Urban,66.46,31.5,formerly smoked,0 +44531,Male,36,0,0,Yes,Private,Urban,56.42,29.6,never smoked,0 +70392,Male,34,0,0,Yes,Private,Rural,112.72,19.4,Unknown,0 +37025,Female,2,0,0,No,children,Urban,114.02,18.1,Unknown,0 +68965,Male,43,0,0,Yes,Private,Urban,72.33,36.2,smokes,0 +53843,Female,1.48,0,0,No,children,Rural,55.59,17.9,Unknown,0 +5236,Female,49,0,0,Yes,Private,Rural,73.48,33,never smoked,0 +32110,Female,2,0,0,No,children,Urban,105.05,20.4,Unknown,0 +17893,Female,82,0,0,Yes,Self-employed,Urban,84.78,33.6,formerly smoked,0 +65794,Female,81,1,0,Yes,Private,Rural,164.77,34.5,never smoked,0 +65955,Male,81,1,1,No,Private,Rural,220.64,30,never smoked,0 +53924,Female,1.08,0,0,No,children,Urban,159.39,12.8,Unknown,0 +70674,Male,60,0,0,Yes,Self-employed,Urban,69.53,26.2,never smoked,0 +56410,Male,1.88,0,0,No,children,Urban,81.42,13.5,Unknown,0 +9955,Female,58,0,0,No,Private,Urban,83.93,25.6,formerly smoked,0 +8410,Female,8,0,0,No,children,Rural,98.9,18.8,Unknown,0 +46854,Female,9,0,0,No,children,Urban,82.64,14.5,Unknown,0 +8168,Female,34,0,0,Yes,Private,Rural,112.54,23.4,formerly smoked,0 +30405,Female,23,0,0,No,Private,Rural,75.25,39.7,formerly smoked,0 +1301,Female,74,0,0,No,Self-employed,Urban,204.77,40.8,never smoked,0 +42348,Male,72,0,1,Yes,Self-employed,Urban,63.86,29.5,smokes,0 +38560,Male,47,0,0,Yes,Private,Rural,72.2,33,Unknown,0 +48129,Female,56,0,0,Yes,Private,Urban,80.08,25.6,never smoked,0 +10511,Male,5,0,0,No,children,Urban,101.61,33.1,Unknown,0 +42481,Male,27,0,0,Yes,Private,Urban,114.32,28.1,Unknown,0 +59872,Female,38,0,0,Yes,Private,Rural,80.82,49.3,never smoked,0 +56282,Male,13,0,0,No,Private,Rural,90.6,16.9,never smoked,0 +6540,Female,41,0,0,Yes,Private,Rural,93.67,35.9,Unknown,0 +31378,Female,50,0,0,Yes,Self-employed,Rural,87.15,32.1,never smoked,0 +32317,Female,41,0,0,Yes,Private,Urban,80.72,34.1,smokes,0 +9948,Male,6,0,0,No,children,Urban,83.16,15.1,Unknown,0 +35182,Female,62,0,0,Yes,Govt_job,Rural,98.14,42,Unknown,0 +5655,Male,4,0,0,No,children,Urban,83.13,16.8,Unknown,0 +51762,Female,59,0,0,Yes,Private,Rural,134.24,28.8,Unknown,0 +68193,Male,63,0,0,Yes,Self-employed,Urban,248.37,32.2,smokes,0 +49459,Male,9,0,0,No,children,Rural,61.75,16.2,Unknown,0 +54776,Male,41,0,0,No,Private,Urban,70.55,44.2,Unknown,0 +45701,Female,72,0,1,No,Self-employed,Rural,124.38,23.4,formerly smoked,0 +7953,Female,45,0,0,Yes,Private,Rural,92.21,31,never smoked,0 +65508,Male,80,0,0,Yes,Govt_job,Urban,148.72,28.7,never smoked,0 +68539,Female,19,0,0,No,Private,Urban,79.25,23.6,Unknown,0 +12022,Male,37,0,0,Yes,Govt_job,Urban,82.09,35.7,smokes,0 +3348,Female,58,1,0,Yes,Private,Urban,194.53,39.5,never smoked,0 +58466,Male,77,0,0,Yes,Private,Rural,98.84,27.3,Unknown,0 +50434,Male,38,0,0,Yes,Govt_job,Rural,135.74,31.3,formerly smoked,0 +49974,Male,49,0,0,Yes,Private,Rural,66.55,33.4,Unknown,0 +54574,Female,20,0,0,No,Private,Urban,115.69,29.2,never smoked,0 +39342,Male,23,0,0,No,Private,Rural,67.76,26,never smoked,0 +2972,Male,55,0,0,No,Govt_job,Rural,88.65,18.1,formerly smoked,0 +32717,Male,16,0,0,No,children,Rural,106.11,22.4,Unknown,0 +14063,Male,81,0,1,No,Self-employed,Rural,95.49,29.4,Unknown,0 +71724,Female,23,0,0,No,Private,Urban,59.07,21.6,never smoked,0 +4753,Male,82,0,1,Yes,Self-employed,Urban,228.92,27.9,formerly smoked,0 +62076,Male,48,0,0,Yes,Private,Rural,62.89,29.6,Unknown,0 +6665,Male,56,0,0,Yes,Private,Rural,96.84,30.2,Unknown,0 +51385,Male,61,0,0,Yes,Private,Rural,81.25,43.4,smokes,0 +66973,Male,43,0,0,Yes,Private,Urban,92.71,30.5,formerly smoked,0 +59671,Female,39,0,0,No,Private,Rural,85.59,33.2,Unknown,0 +3946,Female,22,0,0,Yes,Private,Urban,89.06,27.7,never smoked,0 +17623,Male,41,0,0,No,Self-employed,Urban,87.44,33.5,Unknown,0 +50644,Male,37,0,0,Yes,Private,Urban,64.07,28,Unknown,0 +54294,Female,65,0,0,Yes,Govt_job,Urban,79.39,31.5,formerly smoked,0 +46767,Female,8,0,0,No,children,Rural,67.84,24,Unknown,0 +12911,Female,51,0,0,Yes,Private,Rural,81.73,27.4,never smoked,0 +16109,Male,63,0,0,Yes,Private,Urban,105.52,37.9,formerly smoked,0 +47499,Female,48,0,0,Yes,Govt_job,Rural,77.55,26.2,Unknown,0 +8790,Female,17,0,0,No,Private,Urban,127.42,22.4,Unknown,0 +11259,Female,53,0,0,Yes,Private,Urban,227.68,N/A,never smoked,0 +12003,Female,75,0,0,Yes,Private,Rural,226.73,43.7,never smoked,0 +71099,Female,51,0,0,Yes,Self-employed,Urban,89.74,28.4,never smoked,0 +62090,Male,51,0,0,No,Self-employed,Rural,219.17,29.8,never smoked,0 +10138,Female,41,0,0,Yes,Private,Urban,74.85,24.8,formerly smoked,0 +71424,Female,75,1,0,Yes,Self-employed,Urban,55.96,34.8,never smoked,0 +44759,Male,57,0,0,Yes,Private,Urban,215.92,27.4,smokes,0 +21953,Female,33,0,0,No,Private,Urban,84.4,N/A,smokes,0 +52234,Female,72,0,0,Yes,Govt_job,Urban,104.05,33.5,never smoked,0 +46461,Female,52,0,0,Yes,Private,Urban,62.54,35,smokes,0 +6973,Male,11,0,0,No,children,Rural,87.54,24.4,Unknown,0 +5068,Female,28,0,0,No,Private,Urban,76.81,28.3,smokes,0 +65277,Female,78,1,0,No,Self-employed,Rural,198.12,29.1,never smoked,0 +52679,Female,82,0,0,Yes,Self-employed,Rural,78,31.3,formerly smoked,0 +36728,Male,74,0,0,Yes,Private,Urban,79.44,32.8,never smoked,0 +46797,Female,31,0,0,Yes,Private,Rural,75.82,29.1,never smoked,0 +63898,Female,53,1,0,Yes,Private,Urban,240.86,31.9,never smoked,0 +11371,Male,0.24,0,0,No,children,Urban,89.28,14.2,Unknown,0 +13155,Female,67,1,0,Yes,Govt_job,Rural,263.56,26.3,never smoked,0 +27125,Female,17,0,0,No,Private,Urban,81.13,22.8,never smoked,0 +15383,Female,29,0,0,Yes,Private,Urban,118.44,24.8,never smoked,0 +19828,Female,56,1,0,Yes,Private,Rural,97.37,34.1,smokes,0 +6289,Female,15,0,0,No,children,Urban,80.51,21.5,Unknown,0 +44243,Female,29,0,0,No,Private,Rural,78.88,26.1,never smoked,0 +40167,Female,79,1,1,Yes,Govt_job,Rural,83.61,21.4,smokes,0 +38078,Female,82,1,1,Yes,Private,Urban,73.19,33.5,never smoked,0 +34257,Male,17,0,0,No,Govt_job,Urban,68.91,23,Unknown,0 +21653,Male,8,0,0,No,children,Rural,104.3,18.5,Unknown,0 +63764,Male,23,0,0,No,Private,Urban,87.87,23.4,never smoked,0 +22194,Female,36,0,0,Yes,Private,Urban,96.7,31.4,Unknown,0 +16010,Male,47,0,0,Yes,Private,Rural,91.05,31.1,formerly smoked,0 +5074,Male,24,0,0,No,Private,Rural,200.14,37.7,smokes,0 +10243,Female,60,0,0,Yes,Govt_job,Urban,73.04,25.3,never smoked,0 +52588,Female,63,0,0,Yes,Private,Rural,85.81,35.6,never smoked,0 +56996,Male,44,0,0,Yes,Private,Urban,65.41,24.8,smokes,0 +28315,Male,38,0,0,Yes,Private,Rural,108.68,32.7,never smoked,0 +15104,Female,26,0,0,Yes,Private,Rural,88.79,24.9,never smoked,0 +26604,Female,18,0,0,No,Private,Rural,107.82,26,never smoked,0 +27916,Male,18,0,0,No,Private,Urban,97.39,22.8,never smoked,0 +60249,Male,13,0,0,No,Private,Urban,141.09,24,Unknown,0 +45787,Male,13,0,0,No,children,Urban,122.38,20.3,Unknown,0 +65526,Female,47,0,0,Yes,Private,Urban,77.91,30.3,formerly smoked,0 +72354,Female,80,1,0,Yes,Self-employed,Rural,103.6,23.7,never smoked,0 +38938,Female,24,0,0,No,Private,Rural,159.7,25.7,Unknown,0 +39017,Female,72,0,0,Yes,Govt_job,Rural,118.22,21.9,formerly smoked,0 +13219,Male,5,0,0,No,children,Urban,84.5,15.8,Unknown,0 +3003,Female,51,0,0,Yes,Govt_job,Rural,85.59,30.5,never smoked,0 +34543,Female,82,0,0,Yes,Self-employed,Rural,84.42,25.7,Unknown,0 +21762,Male,5,0,0,No,children,Rural,100.98,19,Unknown,0 +22003,Male,66,0,0,Yes,Private,Rural,81.11,28.8,formerly smoked,0 +6731,Female,53,0,0,No,Private,Rural,235.45,N/A,formerly smoked,0 +19032,Female,15,0,0,No,Private,Rural,79.2,22.4,never smoked,0 +55370,Female,53,0,0,Yes,Private,Urban,207.71,32.4,Unknown,0 +57288,Female,78,0,0,Yes,Private,Rural,99.84,36.6,never smoked,0 +31925,Female,62,0,0,Yes,Private,Rural,98.05,27.9,never smoked,0 +8264,Male,41,0,0,Yes,Self-employed,Rural,105.9,27.7,Unknown,0 +448,Female,49,0,0,Yes,Private,Rural,107.55,N/A,Unknown,0 +38783,Female,41,0,0,Yes,Self-employed,Urban,146.21,34.3,Unknown,0 +45961,Female,78,0,0,Yes,Private,Urban,79.94,26.7,never smoked,0 +27518,Male,14,0,0,No,Self-employed,Rural,72.28,19,Unknown,0 +51106,Female,1.48,0,0,No,children,Rural,123.1,20.6,Unknown,0 +42251,Male,71,1,1,Yes,Self-employed,Rural,67.06,26.7,smokes,0 +33115,Male,32,0,0,Yes,Private,Rural,82.68,29.2,never smoked,0 +31701,Male,16,0,0,No,Private,Rural,125.89,21.3,never smoked,0 +21661,Female,68,0,0,Yes,Govt_job,Urban,228.05,51.9,Unknown,0 +18837,Male,0.56,0,0,No,children,Urban,98.23,14.1,Unknown,0 +57777,Female,59,0,0,Yes,Self-employed,Urban,90.06,28.9,smokes,0 +62610,Male,32,0,0,Yes,Private,Urban,119.9,30.9,smokes,0 +2730,Male,58,0,0,Yes,Private,Urban,94.53,36.1,never smoked,0 +51116,Female,40,0,0,Yes,Self-employed,Urban,64.66,25,formerly smoked,0 +22607,Female,41,0,0,Yes,Private,Urban,103.79,28.6,never smoked,0 +11595,Female,21,0,0,No,Private,Urban,88.51,20.5,never smoked,0 +24355,Female,1.88,0,0,No,children,Rural,97.26,16.7,Unknown,0 +32563,Male,55,0,0,Yes,Govt_job,Urban,92.59,36.6,never smoked,0 +18266,Female,67,0,0,Yes,Private,Rural,102.89,26.4,never smoked,0 +60088,Male,49,1,0,Yes,Self-employed,Rural,92.26,33.1,formerly smoked,0 +14912,Female,42,0,0,Yes,Private,Rural,80,27.5,never smoked,0 +49939,Female,54,0,0,Yes,Self-employed,Urban,56.75,26.9,never smoked,0 +64534,Female,25,0,0,Yes,Private,Urban,104.66,23.9,never smoked,0 +62914,Male,62,0,0,Yes,Private,Rural,60.39,26.9,Unknown,0 +4297,Male,75,0,0,Yes,Govt_job,Urban,223.14,27.8,never smoked,0 +20399,Female,72,1,0,Yes,Private,Urban,105.51,32.7,never smoked,0 +1112,Female,14,0,0,No,Private,Urban,83.42,28.7,never smoked,0 +13276,Female,38,0,0,Yes,Private,Urban,71.06,22.6,Unknown,0 +1260,Male,59,0,0,Yes,Govt_job,Urban,101.24,26.5,never smoked,0 +40509,Female,23,0,0,No,Private,Urban,91.19,28.3,never smoked,0 +15241,Female,63,1,1,No,Govt_job,Urban,174.43,24.3,never smoked,0 +31344,Male,82,0,0,Yes,Self-employed,Urban,214.51,24,formerly smoked,0 +55169,Male,34,0,0,Yes,Private,Rural,72.64,32.4,never smoked,0 +55740,Female,8,0,0,No,children,Urban,62.69,28.7,Unknown,0 +62513,Female,28,0,0,Yes,Private,Rural,141.16,36.7,never smoked,0 +18040,Female,49,0,0,Yes,Govt_job,Rural,89.61,27.7,never smoked,0 +10374,Female,24,0,0,Yes,Private,Rural,76.42,24.8,smokes,0 +37209,Male,17,0,0,No,Never_worked,Rural,124.38,31.2,never smoked,0 +62306,Female,69,1,0,Yes,Self-employed,Urban,111.81,26.1,formerly smoked,0 +54101,Female,58,0,0,Yes,Self-employed,Rural,57.57,26.8,Unknown,0 +12259,Male,50,0,0,Yes,Private,Urban,77.82,26.7,formerly smoked,0 +37634,Male,5,0,0,No,children,Urban,60.09,19.6,Unknown,0 +22548,Female,34,0,0,Yes,Private,Urban,91.02,25.8,never smoked,0 +65407,Female,64,0,0,Yes,Self-employed,Rural,65.46,32.5,formerly smoked,0 +50723,Male,47,0,0,Yes,Private,Rural,131.19,28.3,smokes,0 +20890,Female,61,0,0,Yes,Private,Rural,79.89,24.5,smokes,0 +52472,Male,14,0,0,No,children,Urban,74.54,25.2,Unknown,0 +42859,Female,57,0,0,Yes,Private,Urban,231.31,32.3,never smoked,0 +3167,Male,53,0,1,Yes,Private,Urban,91.57,30.1,formerly smoked,0 +56469,Male,67,0,0,Yes,Private,Urban,238.78,35.7,formerly smoked,0 +23851,Female,57,0,0,No,Private,Rural,87.18,20,formerly smoked,0 +30571,Female,38,0,0,Yes,Govt_job,Rural,78.94,23.5,Unknown,0 +67786,Female,13,0,0,No,children,Rural,69.01,23.4,Unknown,0 +41404,Female,37,0,0,Yes,Private,Rural,110.28,22.3,never smoked,0 +33960,Male,39,1,0,Yes,Self-employed,Urban,71.66,28.7,never smoked,0 +70833,Female,13,0,0,No,Private,Urban,62.57,20.9,Unknown,0 +65731,Male,57,0,0,Yes,Self-employed,Urban,83.64,29.4,smokes,0 +57968,Female,11,0,0,No,children,Urban,107.18,27.6,Unknown,0 +57539,Female,68,0,0,Yes,Private,Rural,233.59,43.9,never smoked,0 +17745,Male,79,1,0,Yes,Self-employed,Urban,84.88,28.7,formerly smoked,0 +33252,Female,24,0,0,No,Private,Rural,97.95,34.7,Unknown,0 +69789,Female,44,0,0,Yes,Private,Rural,58.19,37.1,Unknown,0 +40076,Female,46,0,0,Yes,Private,Rural,70.11,24.2,never smoked,0 +10323,Female,66,0,0,Yes,Private,Urban,112.77,22.7,smokes,0 +23514,Female,61,0,0,Yes,Self-employed,Urban,75.46,29.3,formerly smoked,0 +37395,Female,16,0,0,No,Private,Urban,63.63,20,smokes,0 +8240,Female,37,0,0,Yes,Private,Urban,100.22,22.7,smokes,0 +9620,Female,43,0,0,Yes,Govt_job,Rural,81.77,25.4,never smoked,0 +7092,Female,27,0,0,Yes,Private,Rural,94.25,37.6,never smoked,0 +50216,Male,44,1,0,Yes,Self-employed,Rural,188.13,44.7,formerly smoked,0 +59506,Male,14,0,0,No,Private,Rural,164.7,26.3,Unknown,0 +43397,Male,81,0,1,Yes,Self-employed,Rural,68.27,25,Unknown,0 +62384,Male,52,0,1,No,Self-employed,Rural,79.81,N/A,formerly smoked,0 +10651,Male,54,1,0,Yes,Govt_job,Rural,100.12,32.3,formerly smoked,0 +69750,Female,77,0,0,Yes,Self-employed,Urban,151.23,24.9,never smoked,0 +55455,Male,27,0,0,No,Private,Rural,112.41,33.7,never smoked,0 +34230,Female,35,0,0,Yes,Self-employed,Urban,205.97,26.6,formerly smoked,0 +65154,Female,30,0,0,Yes,Private,Urban,112.19,53.4,never smoked,0 +36298,Female,48,0,0,Yes,Self-employed,Rural,71.93,41.7,never smoked,0 +13171,Female,15,0,0,No,children,Urban,190.89,22,never smoked,0 +62983,Female,26,0,0,Yes,Private,Urban,138.02,20.3,smokes,0 +44834,Female,38,0,0,Yes,Private,Rural,66.16,42.7,Unknown,0 +67411,Male,29,0,0,No,Private,Rural,105.73,28.2,smokes,0 +5455,Male,49,0,0,Yes,Private,Rural,78.34,32.5,Unknown,0 +49267,Female,55,0,0,Yes,Private,Urban,102.1,22.5,formerly smoked,0 +60464,Male,52,0,0,Yes,Private,Urban,97.37,26.5,smokes,0 +56286,Male,49,0,0,Yes,Private,Urban,193.87,41,Unknown,0 +5223,Female,21,0,0,No,Private,Rural,78.32,27,Unknown,0 +53302,Female,24,0,0,Yes,Private,Rural,130,25.9,formerly smoked,0 +59309,Male,18,0,0,No,Self-employed,Urban,74,23.7,Unknown,0 +69824,Male,52,0,0,Yes,Private,Rural,111.04,30,never smoked,0 +13173,Male,70,1,0,Yes,Private,Urban,214.77,15,formerly smoked,0 +52579,Female,51,0,0,Yes,Self-employed,Rural,97.25,21.5,never smoked,0 +59451,Male,58,0,0,Yes,Private,Urban,79.95,25.9,never smoked,0 +56875,Female,46,0,0,Yes,Govt_job,Urban,162.24,24.3,smokes,0 +16774,Female,79,0,0,No,Self-employed,Urban,74.36,39.2,Unknown,0 +61672,Female,11,0,0,No,children,Urban,69.68,14.4,Unknown,0 +25811,Female,61,0,0,Yes,Private,Urban,98.35,26.6,never smoked,0 +7780,Male,51,0,0,Yes,Self-employed,Urban,75.73,30.7,never smoked,0 +58149,Female,21,0,0,No,Private,Rural,85.86,35.4,Unknown,0 +38742,Female,71,0,0,Yes,Private,Urban,80.34,29.2,never smoked,0 +29613,Female,13,0,0,No,Private,Rural,73.76,26.7,Unknown,0 +20655,Male,16,0,0,No,Private,Rural,94.96,21.5,never smoked,0 +53897,Female,61,0,0,Yes,Private,Urban,108.18,19.1,never smoked,0 +29792,Female,49,0,0,Yes,Private,Rural,85.23,25.4,Unknown,0 +15990,Male,65,1,0,Yes,Govt_job,Rural,189.88,34,never smoked,0 +45112,Male,40,0,0,No,Govt_job,Urban,197.11,23.9,never smoked,0 +28385,Female,44,0,0,Yes,Private,Rural,100.08,20.9,smokes,0 +63423,Male,11,0,0,No,children,Rural,68.62,18.2,Unknown,0 +187,Female,20,0,0,No,Private,Rural,84.07,27.6,smokes,0 +18891,Male,24,0,0,No,Govt_job,Rural,99.65,50.3,never smoked,0 +34657,Female,44,0,0,Yes,Self-employed,Urban,82.33,24.5,never smoked,0 +40546,Male,5,0,0,No,children,Urban,94.49,16.6,Unknown,0 +56755,Male,41,0,0,Yes,Private,Rural,108.71,24,never smoked,0 +71097,Female,23,0,0,No,Private,Urban,64.94,18.8,never smoked,0 +21025,Female,7,0,0,No,children,Urban,98.22,34,Unknown,0 +69020,Female,74,0,0,Yes,Private,Urban,83.5,25.8,never smoked,0 +48883,Male,61,0,0,Yes,Govt_job,Rural,192.47,30.3,never smoked,0 +71297,Female,80,1,0,Yes,Private,Urban,125.89,28.9,smokes,0 +52216,Female,35,0,0,Yes,Private,Urban,87.72,21.3,never smoked,0 +20421,Female,43,0,0,Yes,Private,Rural,68.94,26.8,never smoked,0 +36896,Male,25,0,0,Yes,Private,Rural,66.51,29.2,Unknown,0 +23535,Male,72,0,1,Yes,Self-employed,Urban,85.82,25,formerly smoked,0 +1323,Female,45,0,0,Yes,Private,Rural,87.47,21.5,never smoked,0 +47309,Male,9,0,0,No,children,Urban,87.74,17.1,Unknown,0 +34161,Male,33,1,0,Yes,Private,Rural,85.12,32.5,never smoked,0 +57405,Male,53,0,0,Yes,Self-employed,Urban,103.37,26.9,formerly smoked,0 +15824,Female,67,0,0,Yes,Private,Rural,81.68,30.4,never smoked,0 +32103,Male,59,0,0,Yes,Self-employed,Urban,76.51,29.8,never smoked,0 +18205,Female,1.32,0,0,No,children,Rural,110.17,20.3,Unknown,0 +71420,Male,27,0,0,No,Govt_job,Rural,65.12,41.1,smokes,0 +298,Female,41,0,0,Yes,Self-employed,Rural,76.66,N/A,Unknown,0 +15136,Male,64,0,1,Yes,Private,Rural,109.88,33.9,Unknown,0 +9879,Female,55,0,1,Yes,Private,Urban,199.38,39,Unknown,0 +68302,Female,40,0,0,Yes,Private,Urban,65.77,31.2,never smoked,0 +65507,Male,33,0,0,Yes,Private,Rural,55.72,38.2,never smoked,0 +63949,Female,33,0,0,Yes,Govt_job,Urban,75.67,44.7,never smoked,0 +62475,Male,39,1,0,Yes,Private,Rural,88.18,33.5,smokes,0 +35648,Female,74,0,0,Yes,Self-employed,Rural,95.94,27,never smoked,0 +72276,Male,38,0,0,Yes,Private,Urban,86.93,31.1,never smoked,0 +49661,Male,53,0,0,Yes,Govt_job,Urban,85.17,29.2,never smoked,0 +31590,Male,22,0,0,No,Private,Urban,111.1,26.6,never smoked,0 +8584,Female,5,0,0,No,children,Rural,92,17.9,Unknown,0 +7964,Male,24,0,0,No,Private,Urban,97.47,24.2,formerly smoked,0 +25130,Female,27,0,0,Yes,Private,Urban,79.21,19.5,Unknown,0 +3531,Male,41,0,0,Yes,Private,Rural,83.97,28.5,formerly smoked,0 +6529,Female,20,0,0,No,Private,Urban,98.55,21.3,never smoked,0 +22272,Female,71,1,0,Yes,Private,Rural,202.98,41.3,never smoked,0 +40702,Female,65,0,0,No,Govt_job,Urban,60.7,31.3,never smoked,0 +1656,Male,38,0,0,Yes,Private,Urban,92.22,40.8,never smoked,0 +51988,Female,25,0,0,Yes,Private,Rural,79.94,36.6,Unknown,0 +48323,Male,53,0,0,Yes,Govt_job,Rural,83.68,26.7,Unknown,0 +35155,Female,50,0,0,Yes,Self-employed,Urban,69.92,18.7,formerly smoked,0 +46314,Female,1.24,0,0,No,children,Rural,136.96,15.2,Unknown,0 +12906,Female,55,0,0,Yes,Self-employed,Rural,95.32,26.8,never smoked,0 +24961,Female,38,0,0,Yes,Private,Rural,107.78,25.1,never smoked,0 +14000,Female,72,1,1,Yes,Private,Urban,198.32,31.3,formerly smoked,0 +23047,Male,43,0,0,Yes,Private,Urban,100.16,59.7,never smoked,0 +6827,Male,30,0,0,Yes,Private,Urban,96.02,29.8,never smoked,0 +44656,Female,69,1,0,Yes,Private,Rural,112.69,33.5,formerly smoked,0 +59801,Female,61,0,0,Yes,Private,Urban,60.61,24.5,never smoked,0 +51073,Female,34,0,0,Yes,Self-employed,Urban,79.77,33.6,never smoked,0 +34966,Female,43,0,0,Yes,Self-employed,Urban,87.41,39.7,formerly smoked,0 +41122,Female,62,0,0,Yes,Private,Rural,226.38,47.4,never smoked,0 +4449,Male,48,0,0,Yes,Govt_job,Rural,124.64,26.4,smokes,0 +54726,Female,37,0,0,Yes,Private,Urban,69.42,33,never smoked,0 +1772,Female,64,0,0,Yes,Govt_job,Urban,77.68,31.4,never smoked,0 +4850,Male,51,0,0,Yes,Private,Rural,112.79,27.2,never smoked,0 +44886,Male,69,1,0,Yes,Self-employed,Rural,236.79,35.7,formerly smoked,0 +26076,Female,75,1,0,Yes,Self-employed,Rural,219.82,29.5,formerly smoked,0 +54962,Female,27,0,0,No,Private,Urban,82.05,21,Unknown,0 +1116,Female,49,0,0,No,Govt_job,Rural,104.08,26.6,never smoked,0 +28247,Male,82,0,0,No,Self-employed,Urban,101.57,24.3,smokes,0 +39563,Female,36,0,0,Yes,Private,Rural,71.32,43.9,smokes,0 +49553,Male,1.88,0,0,No,children,Rural,143.97,N/A,Unknown,0 +14872,Male,45,1,0,Yes,Self-employed,Rural,239.19,52.5,Unknown,0 +57598,Female,64,0,0,Yes,Private,Rural,78.45,27,formerly smoked,0 +70022,Male,32,0,0,No,Private,Rural,61.11,32.7,never smoked,0 +70365,Female,15,0,0,No,Private,Urban,87.29,29.4,Unknown,0 +57219,Female,1.64,0,0,No,children,Rural,82.49,15.1,Unknown,0 +28344,Male,34,0,0,Yes,Private,Urban,83.15,32.1,Unknown,0 +50785,Male,17,0,0,No,Private,Rural,83.26,32.9,never smoked,0 +17251,Female,76,1,0,Yes,Self-employed,Urban,78.7,27.6,formerly smoked,0 +48459,Male,61,0,0,Yes,Self-employed,Urban,111.94,26.5,smokes,0 +68843,Male,30,0,0,Yes,Private,Rural,104.77,19.2,smokes,0 +27523,Female,18,0,0,No,Private,Urban,104.26,25.9,Unknown,0 +61651,Male,48,0,0,Yes,Private,Rural,113.84,21.9,never smoked,0 +22877,Male,0.16,0,0,No,children,Urban,114.71,17.4,Unknown,0 +52859,Female,4,0,0,No,children,Urban,61.54,13.2,Unknown,0 +55631,Male,38,0,0,Yes,Private,Rural,133.62,25.2,never smoked,0 +7003,Female,27,0,0,Yes,Private,Rural,111.96,28.2,never smoked,0 +68447,Female,50,0,0,No,Private,Urban,112.44,31.5,Unknown,0 +13817,Male,19,0,0,No,Private,Urban,123.61,25.2,Unknown,0 +12117,Male,8,0,0,No,children,Urban,84.68,14.5,Unknown,0 +40210,Male,78,0,1,Yes,Self-employed,Rural,206.62,28,formerly smoked,0 +23360,Male,0.8,0,0,No,children,Rural,114.54,15.1,Unknown,0 +28447,Female,53,1,0,Yes,Private,Rural,216.88,31.4,smokes,0 +72398,Female,73,1,0,Yes,Private,Urban,110.38,26.3,never smoked,0 +7859,Male,34,0,0,Yes,Private,Urban,99.23,N/A,smokes,0 +20140,Male,58,0,0,Yes,Govt_job,Rural,204.92,39.6,never smoked,0 +46903,Female,62,0,0,Yes,Private,Urban,56.74,28.9,never smoked,0 +61333,Female,78,0,0,No,Self-employed,Rural,68.35,31.4,Unknown,0 +7403,Female,51,0,0,Yes,Private,Urban,83.52,34.3,Unknown,0 +69370,Male,78,0,0,Yes,Govt_job,Urban,59.74,27,formerly smoked,0 +43549,Female,40,1,0,Yes,Private,Rural,81.59,27.2,never smoked,0 +2903,Female,35,0,0,No,Private,Rural,123.83,23.8,never smoked,0 +70268,Male,82,0,0,Yes,Private,Urban,226.84,25.3,formerly smoked,0 +11003,Female,46,0,0,Yes,Self-employed,Rural,93.2,32.6,Unknown,0 +61475,Female,51,1,0,Yes,Private,Rural,85.84,31.8,never smoked,0 +27608,Female,53,0,0,Yes,Govt_job,Urban,74.64,22.4,Unknown,0 +9923,Male,55,0,1,Yes,Private,Urban,80.17,28,never smoked,0 +28091,Female,43,0,0,Yes,Govt_job,Urban,85.03,23.9,formerly smoked,0 +59749,Male,81,0,0,Yes,Private,Urban,234.35,25.3,formerly smoked,0 +8719,Male,12,0,0,No,children,Urban,116.25,16.4,formerly smoked,0 +58154,Female,20,0,0,No,Private,Urban,66.55,26.9,smokes,0 +31712,Female,53,0,0,Yes,Private,Urban,88.38,25.4,never smoked,0 +14249,Female,1.32,0,0,No,children,Urban,81.05,18.7,Unknown,0 +30693,Female,22,0,0,No,Private,Urban,68.4,37.5,never smoked,0 +18866,Female,75,0,0,Yes,Self-employed,Urban,96.95,41.4,never smoked,0 +36909,Female,66,0,0,Yes,Self-employed,Rural,66.24,37.5,never smoked,0 +63562,Male,7,0,0,No,children,Rural,91.81,15.8,Unknown,0 +29352,Female,26,0,0,No,Private,Urban,84.86,37.6,never smoked,0 +44024,Female,14,0,0,No,Private,Rural,118.88,30.5,never smoked,0 +24068,Female,32,0,0,Yes,Private,Urban,85.91,22.1,Unknown,0 +57602,Male,6,0,0,No,children,Rural,115.4,19.2,Unknown,0 +16536,Female,42,0,0,Yes,Self-employed,Rural,75.34,38,never smoked,0 +6639,Male,4,0,0,No,children,Rural,100.19,18.7,Unknown,0 +6528,Male,75,0,0,Yes,Govt_job,Urban,200.73,25.7,formerly smoked,0 +42594,Male,80,1,0,Yes,Govt_job,Urban,114.09,30.1,never smoked,0 +59045,Female,52,0,0,Yes,Private,Urban,67.3,36.3,never smoked,0 +31608,Male,11,0,0,No,children,Rural,96.91,20.4,Unknown,0 +47949,Male,14,0,0,No,children,Rural,116.2,20.9,Unknown,0 +41362,Female,74,0,0,Yes,Self-employed,Rural,72.54,28.4,never smoked,0 +18187,Male,58,0,0,Yes,Private,Rural,96.01,33.8,Unknown,0 +8983,Female,80,1,0,Yes,Private,Urban,89.16,24,never smoked,0 +20098,Female,31,0,0,Yes,Self-employed,Rural,108.64,43.3,never smoked,0 +3777,Female,28,1,0,Yes,Govt_job,Rural,83.66,36.4,never smoked,0 +11651,Female,25,0,0,Yes,Private,Rural,81.21,37.9,never smoked,0 +28527,Male,71,0,0,No,Private,Urban,86.96,32.6,never smoked,0 +63282,Female,51,0,0,Yes,Govt_job,Rural,92.95,23.9,never smoked,0 +37038,Male,15,0,0,No,children,Urban,95.86,18.1,Unknown,0 +4528,Male,45,1,0,No,Private,Rural,85.52,36.4,never smoked,0 +41665,Male,53,0,0,Yes,Govt_job,Rural,159.39,29.2,never smoked,0 +26539,Male,69,0,0,Yes,Self-employed,Urban,202.51,30.8,formerly smoked,0 +25325,Female,42,0,0,Yes,Private,Rural,82.24,23.8,formerly smoked,0 +69462,Female,4,0,0,No,children,Rural,109.81,17.9,Unknown,0 +29816,Male,64,1,0,Yes,Private,Rural,91.85,31.8,formerly smoked,0 +47784,Female,5,0,0,No,children,Rural,123.49,19.5,Unknown,0 +18181,Male,44,0,0,Yes,Private,Rural,105.49,31.5,smokes,0 +8614,Male,78,0,1,Yes,Self-employed,Urban,101.53,24.1,formerly smoked,0 +347,Female,16,0,0,No,Private,Urban,89.45,N/A,Unknown,0 +61336,Female,69,0,0,Yes,Self-employed,Urban,126.04,35.9,never smoked,0 +27647,Male,80,0,1,Yes,Self-employed,Rural,95.49,31.6,Unknown,0 +25676,Female,7,0,0,No,children,Rural,89.38,19,Unknown,0 +65894,Female,2,0,0,No,children,Urban,82.3,18.8,Unknown,0 +2291,Female,80,1,0,Yes,Self-employed,Urban,218,33.5,Unknown,0 +25630,Female,69,0,0,Yes,Self-employed,Urban,79.7,25,never smoked,0 +38575,Male,58,1,0,Yes,Self-employed,Rural,209.15,52.9,formerly smoked,0 +29326,Female,75,0,0,Yes,Self-employed,Rural,70.22,24.8,formerly smoked,0 +59292,Female,60,0,0,Yes,Self-employed,Rural,83.57,24.5,never smoked,0 +52051,Female,75,0,0,Yes,Self-employed,Urban,60.6,40.4,smokes,0 +64508,Female,10,0,0,No,children,Urban,97.24,20.2,Unknown,0 +36593,Male,38,0,0,No,Private,Rural,162.72,31.9,smokes,0 +39834,Male,28,0,0,No,Private,Urban,73.27,25.4,smokes,0 +54111,Female,3,0,0,No,children,Urban,92.62,15.4,Unknown,0 +53476,Female,31,0,0,Yes,Private,Urban,90,38.6,never smoked,0 +479,Female,59,1,0,Yes,Private,Rural,78.28,31,formerly smoked,0 +37237,Female,31,0,0,No,Private,Rural,87.81,26.4,smokes,0 +5496,Female,45,0,0,Yes,Private,Urban,202.66,N/A,never smoked,0 +56075,Female,58,0,0,Yes,Private,Rural,196.5,37.7,never smoked,0 +46130,Female,57,0,0,Yes,Self-employed,Urban,142.31,35.2,smokes,0 +7730,Male,31,0,0,No,Private,Rural,94.96,54.7,smokes,0 +12380,Male,43,0,0,Yes,Govt_job,Rural,83.78,21.6,never smoked,0 +15324,Female,40,0,0,No,Private,Urban,86.1,23.9,Unknown,0 +11658,Male,1.08,0,0,No,children,Rural,74.5,N/A,Unknown,0 +22778,Male,34,0,0,Yes,Private,Urban,66.96,26.1,never smoked,0 +4128,Female,55,0,0,Yes,Private,Rural,76.7,39.7,formerly smoked,0 +36825,Female,39,0,0,Yes,Private,Rural,103.12,29.9,formerly smoked,0 +1454,Female,42,0,0,No,Private,Urban,84.03,31.4,never smoked,0 +12674,Male,44,0,0,Yes,Private,Rural,74.15,34.5,formerly smoked,0 +55375,Male,69,1,0,Yes,Private,Rural,73.29,29.4,never smoked,0 +3726,Male,16,0,0,No,Private,Urban,115.16,26.9,Unknown,0 +48652,Female,8,0,0,No,children,Urban,83.55,22.4,Unknown,0 +68657,Female,1.48,0,0,No,children,Urban,61.53,20.5,Unknown,0 +17337,Female,1.88,0,0,No,children,Rural,100.74,18.6,Unknown,0 +44831,Female,69,0,0,No,Private,Urban,59.31,31.4,smokes,0 +68420,Female,13,0,0,No,children,Urban,63.22,18.5,formerly smoked,0 +39632,Female,53,0,0,Yes,Private,Urban,209.5,41.8,never smoked,0 +49095,Female,16,0,0,No,children,Urban,64.51,21.2,Unknown,0 +46292,Male,64,0,0,Yes,Private,Rural,90.07,28.6,never smoked,0 +43492,Female,7,0,0,No,children,Urban,113.95,16,Unknown,0 +55766,Male,41,0,0,Yes,Private,Rural,119.32,30.6,Unknown,0 +17740,Male,65,0,0,Yes,Private,Rural,99.12,29,formerly smoked,0 +64189,Male,61,0,0,Yes,Self-employed,Rural,152.84,28.6,Unknown,0 +24202,Male,63,0,0,Yes,Private,Rural,78.23,34.8,never smoked,0 +32514,Male,1.8,0,0,No,children,Urban,68.8,N/A,Unknown,0 +9866,Female,54,0,0,Yes,Private,Urban,76.05,42,Unknown,0 +54816,Female,14,0,0,No,children,Rural,116.49,30.3,never smoked,0 +59880,Male,45,0,0,Yes,Private,Rural,99.91,30.9,Unknown,0 +20625,Male,51,1,0,Yes,Private,Urban,76.1,32.1,smokes,0 +65969,Male,8,0,0,No,children,Rural,121.99,19.6,Unknown,0 +56923,Male,52,1,0,Yes,Private,Rural,116.21,32.8,smokes,0 +44001,Female,39,0,0,Yes,Private,Urban,55.28,31.5,Unknown,0 +51852,Female,13,0,0,No,children,Rural,219.81,N/A,Unknown,0 +27176,Female,69,0,0,Yes,Private,Rural,103.73,34.7,never smoked,0 +70874,Male,71,1,0,Yes,Govt_job,Urban,153.08,21.5,Unknown,0 +34287,Female,73,0,0,Yes,Self-employed,Rural,98.69,27.6,Unknown,0 +23052,Female,54,0,0,Yes,Private,Rural,94.11,28.6,formerly smoked,0 +67499,Male,10,0,0,No,children,Rural,117.03,21.1,never smoked,0 +5380,Female,26,0,0,Yes,Private,Urban,91.35,23.8,never smoked,0 +20154,Female,41,0,0,Yes,Private,Rural,82.48,33.5,Unknown,0 +29546,Male,71,0,0,Yes,Govt_job,Rural,99.76,33.4,formerly smoked,0 +3718,Female,46,0,0,Yes,Govt_job,Urban,111.1,23.3,smokes,0 +43734,Male,15,0,0,No,Private,Rural,122.25,21,never smoked,0 +41917,Female,29,0,0,No,Private,Urban,84.19,21.2,never smoked,0 +8050,Male,8,0,0,No,children,Urban,84.6,18.4,Unknown,0 +44426,Female,21,0,0,Yes,Private,Urban,126.35,26.9,never smoked,0 +34700,Female,56,1,0,No,Self-employed,Urban,87.5,20.2,formerly smoked,0 +70230,Female,14,0,0,No,Self-employed,Rural,77.52,21.9,never smoked,0 +68721,Female,78,0,0,Yes,Private,Rural,133.13,24.2,Unknown,0 +23170,Female,36,0,0,No,Private,Urban,96.1,29.6,never smoked,0 +5731,Female,57,1,0,Yes,Private,Urban,108.61,38.1,smokes,0 +62791,Male,79,1,1,Yes,Self-employed,Rural,205.23,22,never smoked,0 +18943,Male,26,0,0,No,Govt_job,Rural,76.74,29.8,Unknown,0 +45472,Male,22,0,0,Yes,Private,Urban,138.55,24,never smoked,0 +3942,Male,72,0,1,Yes,Private,Urban,234.27,26.9,never smoked,0 +30201,Female,54,0,0,Yes,Private,Urban,75.16,38,never smoked,0 +38284,Male,8,0,0,No,children,Rural,77.08,16.9,Unknown,0 +53552,Female,62,0,0,Yes,Private,Urban,101.19,23.4,never smoked,0 +59663,Female,28,0,0,No,Private,Urban,107.74,38.5,never smoked,0 +68631,Female,50,0,0,Yes,Private,Rural,62.32,21.6,Unknown,0 +49900,Male,7,0,0,No,children,Urban,56.32,15.9,Unknown,0 +18140,Female,33,0,0,Yes,Private,Rural,131.28,25.1,never smoked,0 +52340,Male,55,0,0,Yes,Private,Urban,67.02,41.1,smokes,0 +2327,Female,25,0,0,No,Private,Rural,76.72,21.5,Unknown,0 +55137,Female,25,0,0,No,Private,Urban,125.98,21,smokes,0 +458,Female,37,0,0,Yes,Govt_job,Urban,72.09,24.1,smokes,0 +57044,Male,58,0,0,Yes,Private,Urban,88.05,30.6,Unknown,0 +71548,Male,45,0,0,Yes,Govt_job,Urban,55.47,19.8,smokes,0 +67438,Female,60,0,0,Yes,Govt_job,Rural,145.94,29.2,Unknown,0 +36524,Male,66,0,1,Yes,Private,Rural,239.21,33.7,formerly smoked,0 +61827,Male,80,0,0,Yes,Self-employed,Rural,196.08,31,formerly smoked,0 +31454,Female,38,0,0,Yes,Govt_job,Rural,93.93,21.5,never smoked,0 +15663,Female,11,0,0,No,children,Urban,76.74,19.1,Unknown,0 +4707,Female,63,0,0,Yes,Private,Urban,83.74,21.4,Unknown,0 +55885,Male,19,0,0,No,Private,Urban,119.58,24.8,Unknown,0 +47563,Female,17,0,0,No,Private,Rural,68.66,35.1,never smoked,0 +63729,Female,19,0,0,No,Private,Urban,65.79,28.6,smokes,0 +5286,Female,40,0,0,Yes,Govt_job,Urban,176.38,35.7,never smoked,0 +29878,Male,49,0,0,Yes,Private,Urban,175.74,45.4,Unknown,0 +42628,Female,69,0,1,No,Private,Urban,193.45,34.5,never smoked,0 +5006,Female,46,0,0,Yes,Self-employed,Rural,85.84,21.2,never smoked,0 +11250,Male,78,0,0,Yes,Self-employed,Rural,93.85,22.7,formerly smoked,0 +41858,Female,63,0,1,Yes,Private,Rural,86.21,39.1,never smoked,0 +15742,Female,3,0,0,No,children,Rural,75.41,21.9,Unknown,0 +27300,Female,1.8,0,0,No,children,Rural,95.28,16.5,Unknown,0 +34965,Female,18,0,0,No,Private,Urban,95.87,23,never smoked,0 +65748,Female,46,0,0,Yes,Private,Urban,180.45,22.5,never smoked,0 +44635,Female,8,0,0,No,children,Urban,95.39,20.4,Unknown,0 +72284,Female,53,0,0,Yes,Private,Rural,60.77,28.7,smokes,0 +20217,Female,38,0,0,Yes,Govt_job,Urban,102.84,22.4,never smoked,0 +44259,Female,74,0,0,Yes,Private,Urban,130.37,26.3,Unknown,0 +52668,Female,24,0,0,No,Private,Urban,65.44,23.6,never smoked,0 +37446,Male,78,0,0,Yes,Private,Rural,79.84,25.9,never smoked,0 +46895,Male,60,0,0,Yes,Private,Rural,62.61,30.7,never smoked,0 +57667,Male,12,0,0,No,children,Urban,70.07,24.5,formerly smoked,0 +41962,Female,32,0,0,Yes,Private,Rural,108.8,24,Unknown,0 +25495,Male,5,0,0,No,children,Urban,112.11,20.1,Unknown,0 +2029,Female,40,0,0,Yes,Private,Rural,92.35,38,never smoked,0 +13993,Female,19,0,0,No,Private,Urban,76.57,26.6,Unknown,0 +18876,Female,28,0,0,Yes,Private,Urban,69.5,24.5,never smoked,0 +22865,Female,61,0,0,Yes,Private,Rural,219.38,N/A,never smoked,0 +365,Female,44,1,0,Yes,Private,Rural,69.48,41.3,never smoked,0 +37631,Male,50,0,0,Yes,Govt_job,Urban,89.18,34.8,smokes,0 +5500,Female,50,0,1,Yes,Govt_job,Urban,68.09,35.5,smokes,0 +53217,Female,18,0,0,No,Private,Rural,92.71,24.1,Unknown,0 +56712,Male,1.64,0,0,No,children,Rural,56.21,19,Unknown,0 +10055,Female,37,0,0,No,Govt_job,Rural,72.08,N/A,formerly smoked,0 +4959,Female,5,0,0,No,children,Urban,82.56,16.6,Unknown,0 +22155,Female,39,0,0,Yes,Private,Urban,78.24,28.6,Unknown,0 +22860,Female,65,0,0,Yes,Govt_job,Rural,84.66,22.4,never smoked,0 +6960,Female,26,0,0,No,Govt_job,Urban,90.35,38.6,Unknown,0 +57209,Male,42,0,0,Yes,Govt_job,Rural,68.12,32,Unknown,0 +66581,Female,34,0,0,Yes,Private,Rural,59.14,40.1,never smoked,0 +17347,Female,45,0,0,Yes,Govt_job,Urban,85.64,32,formerly smoked,0 +58422,Male,43,0,0,Yes,Govt_job,Rural,56.08,23.9,Unknown,0 +19043,Female,40,0,0,No,Private,Rural,99,25,never smoked,0 +52897,Male,35,0,0,No,Private,Urban,93.6,28.5,smokes,0 +16329,Female,2,0,0,No,children,Urban,105.75,19.8,Unknown,0 +40353,Female,61,0,0,Yes,Private,Urban,114.09,25.7,never smoked,0 +56778,Male,64,1,0,Yes,Private,Urban,57.42,28,smokes,0 +41153,Female,32,0,0,Yes,Private,Urban,100.01,37.2,never smoked,0 +63725,Male,23,0,0,No,Private,Urban,62,24.8,formerly smoked,0 +19675,Female,51,0,0,Yes,Self-employed,Rural,103.61,39.2,never smoked,0 +72784,Female,52,0,0,Yes,Private,Rural,118.46,61.6,smokes,0 +8541,Female,75,0,0,Yes,Govt_job,Rural,94.77,27.2,never smoked,0 +45565,Female,40,0,0,Yes,Private,Urban,72.12,38,never smoked,0 +36431,Male,39,0,0,Yes,Govt_job,Rural,155.23,36.2,never smoked,0 +6171,Male,6,0,0,No,children,Urban,90.6,16.6,Unknown,0 +29419,Female,32,0,0,Yes,Private,Urban,81.92,38,never smoked,0 +65673,Female,55,0,0,No,Self-employed,Rural,67.1,31.4,never smoked,0 +64662,Female,23,0,0,No,Private,Rural,58.01,35.3,never smoked,0 +51693,Female,52,0,0,Yes,Private,Rural,173.9,35.8,never smoked,0 +50495,Male,58,1,0,Yes,Private,Rural,106.27,28.6,never smoked,0 +37086,Male,17,0,0,No,Private,Rural,60.57,34,Unknown,0 +71396,Male,3,0,0,No,children,Urban,105.34,15.5,Unknown,0 +27854,Female,23,0,0,No,Private,Rural,96.28,31.1,never smoked,0 +53759,Male,56,0,0,Yes,Self-employed,Urban,122.73,37.5,formerly smoked,0 +14407,Male,45,0,0,No,Self-employed,Urban,104.12,37.7,Unknown,0 +887,Female,14,0,0,No,Private,Urban,69.74,24.2,formerly smoked,0 +13328,Female,45,0,0,Yes,Private,Rural,106.95,33.4,Unknown,0 +62507,Female,57,0,0,Yes,Private,Urban,94.63,33,never smoked,0 +51797,Female,35,0,0,Yes,Private,Urban,86.97,25.7,Unknown,0 +61536,Female,8,0,0,No,children,Rural,76.12,19.4,Unknown,0 +71221,Female,42,0,0,Yes,Govt_job,Urban,99.94,33.4,never smoked,0 +6948,Male,8,0,0,No,children,Urban,91.53,18,Unknown,0 +66083,Male,62,0,0,Yes,Private,Rural,145.46,40.1,never smoked,0 +21238,Female,43,0,0,Yes,Private,Urban,74.86,26.9,never smoked,0 +70992,Female,8,0,0,No,children,Urban,74.42,22.5,Unknown,0 +20376,Male,40,0,0,Yes,Self-employed,Urban,70.07,27.6,smokes,0 +6613,Male,2,0,0,No,children,Urban,89.85,23.3,Unknown,0 +27818,Female,27,0,0,No,Private,Rural,104.21,35.7,never smoked,0 +3062,Female,47,0,0,Yes,Self-employed,Rural,157.77,28.4,never smoked,0 +11692,Female,53,0,0,No,Govt_job,Urban,101.81,29.4,smokes,0 +25070,Male,62,0,0,Yes,Govt_job,Rural,103,31.9,Unknown,0 +39556,Male,50,0,0,Yes,Self-employed,Urban,101.85,25.1,smokes,0 +18437,Male,26,0,0,No,Private,Urban,85.92,35.6,smokes,0 +59540,Female,19,0,0,No,Private,Rural,56.85,21.1,never smoked,0 +13857,Male,0.32,0,0,No,children,Urban,89.04,17.8,Unknown,0 +57924,Female,45,0,0,Yes,Govt_job,Rural,63.01,31.5,never smoked,0 +38069,Male,45,0,0,Yes,Private,Rural,65.48,26.6,Unknown,0 +48871,Female,54,0,0,Yes,Private,Rural,68.6,44.8,smokes,0 +63420,Male,64,1,0,Yes,Private,Urban,81.68,31.3,formerly smoked,0 +67665,Male,2,0,0,No,children,Urban,65.21,17.2,Unknown,0 +50638,Female,66,0,0,Yes,Govt_job,Urban,72.53,25.3,smokes,0 +43892,Female,73,0,0,Yes,Private,Rural,81.78,28.8,never smoked,0 +9335,Female,31,0,0,No,Private,Rural,116.85,49.9,smokes,0 +38830,Female,1.88,0,0,No,children,Rural,80.83,18,Unknown,0 +14019,Female,58,0,0,Yes,Private,Urban,96.21,23.5,never smoked,0 +65888,Male,12,0,0,No,children,Rural,117.04,18.1,Unknown,0 +62986,Female,60,1,0,Yes,Private,Rural,78.26,41.7,formerly smoked,0 +61409,Male,32,1,0,No,Govt_job,Urban,58.24,N/A,formerly smoked,0 +72041,Male,23,0,0,No,Private,Urban,82.53,20.7,smokes,0 +51584,Male,26,0,0,No,Private,Urban,71.25,30.3,smokes,0 +56476,Male,36,0,0,Yes,Private,Rural,129.73,27.8,never smoked,0 +51740,Female,3,0,0,No,children,Urban,115.47,18.9,Unknown,0 +45983,Male,21,0,0,No,Private,Urban,56.79,20.4,Unknown,0 +16079,Female,67,0,0,Yes,Private,Urban,100.16,31.8,Unknown,0 +24920,Female,35,0,0,Yes,Govt_job,Rural,97.6,44.8,smokes,0 +72818,Female,26,0,0,No,Private,Rural,90.54,37.1,Unknown,0 +65944,Female,47,0,0,Yes,Self-employed,Urban,105.88,39.9,smokes,0 +63836,Male,81,1,1,Yes,Govt_job,Rural,217.94,24.1,formerly smoked,0 +46729,Female,1.64,0,0,No,children,Urban,69.89,18.1,Unknown,0 +44642,Male,52,0,0,Yes,Govt_job,Urban,93.28,36.3,never smoked,0 +70693,Female,28,0,1,Yes,Private,Rural,111.27,19.1,smokes,0 +54065,Female,45,0,0,Yes,Private,Urban,91.04,21.1,never smoked,0 +9926,Male,20,0,0,No,Private,Urban,87.2,28.9,smokes,0 +29201,Male,1.56,0,0,No,children,Rural,109.12,18.9,Unknown,0 +33308,Female,65,0,0,No,Private,Urban,216.64,43.3,formerly smoked,0 +15937,Male,45,1,0,Yes,Self-employed,Rural,74.28,37.2,formerly smoked,0 +53748,Male,77,0,0,Yes,Self-employed,Urban,57.6,32.2,Unknown,0 +47803,Male,37,0,0,Yes,Govt_job,Urban,173.97,26.3,Unknown,0 +41554,Female,50,0,0,Yes,Private,Rural,65.25,25.4,smokes,0 +69435,Female,0.56,0,0,No,children,Urban,80.92,18.3,Unknown,0 +41049,Female,30,0,0,Yes,Private,Rural,124.37,21.4,never smoked,0 +13859,Female,31,0,0,No,Private,Urban,102.39,22.9,smokes,0 +24257,Male,4,0,0,No,children,Rural,90.42,16.2,Unknown,0 +14417,Male,65,1,0,Yes,Private,Rural,79.17,29.6,Unknown,0 +45260,Female,68,0,0,Yes,Self-employed,Urban,71.08,21.5,never smoked,0 +12807,Female,63,1,0,Yes,Private,Urban,81.54,24.2,never smoked,0 +71417,Male,46,0,0,No,Private,Urban,159.67,37.3,never smoked,0 +37479,Female,54,0,0,Yes,Private,Urban,93.96,33.3,smokes,0 +23850,Male,66,0,0,Yes,Private,Urban,103.01,33.1,never smoked,0 +17791,Female,29,0,0,Yes,Govt_job,Rural,92.49,22.2,never smoked,0 +2544,Male,78,0,0,Yes,Private,Urban,208.85,24.4,formerly smoked,0 +4961,Male,56,0,0,Yes,Govt_job,Urban,122.39,30.3,Unknown,0 +2702,Female,57,0,0,Yes,Private,Rural,65.91,28.2,Unknown,0 +11208,Female,2,0,0,No,children,Rural,70.25,17,Unknown,0 +4077,Male,49,0,0,Yes,Private,Urban,219.7,53.8,Unknown,0 +36548,Male,31,0,0,Yes,Govt_job,Urban,65.7,30.4,formerly smoked,0 +71596,Female,47,0,0,Yes,Private,Urban,67.08,22.3,Unknown,0 +61050,Male,37,0,0,Yes,Govt_job,Rural,107.58,25.3,never smoked,0 +6172,Female,79,0,0,Yes,Private,Rural,208.05,N/A,smokes,0 +15098,Female,65,0,0,Yes,Private,Rural,95.87,29.8,never smoked,0 +34895,Male,61,0,0,Yes,Private,Urban,68.17,43.8,formerly smoked,0 +6443,Female,66,0,0,Yes,Private,Urban,95.37,34.5,smokes,0 +67635,Male,24,0,0,No,Private,Urban,90,25.5,never smoked,0 +19931,Male,66,0,0,Yes,Self-employed,Rural,106.1,31.5,smokes,0 +57302,Female,64,1,0,Yes,Private,Rural,56.13,39.2,Unknown,0 +26197,Female,38,0,0,Yes,Private,Rural,104.03,47.3,smokes,0 +54982,Female,7,0,0,No,children,Rural,157.01,17,Unknown,0 +13398,Female,63,0,0,Yes,Private,Urban,84.35,38.2,never smoked,0 +21101,Male,71,0,0,Yes,Private,Rural,67.99,31.1,never smoked,0 +39958,Male,18,0,0,No,Private,Rural,118.93,22.4,never smoked,0 +51894,Female,65,0,0,Yes,Private,Rural,185.28,32,smokes,0 +56001,Male,57,0,0,Yes,Private,Rural,82.08,24.7,Unknown,0 +56137,Female,62,0,0,Yes,Private,Urban,88.32,36.3,Unknown,0 +25900,Male,1.8,0,0,No,children,Rural,85.16,20.2,Unknown,0 +69213,Male,35,0,0,No,Private,Rural,69.54,27.4,never smoked,0 +38613,Female,50,0,0,Yes,Govt_job,Rural,62.12,29.6,never smoked,0 +27660,Female,73,1,0,No,Self-employed,Rural,198.3,54.3,formerly smoked,0 +33790,Female,23,0,0,No,Private,Rural,100.06,28.6,never smoked,0 +50845,Female,32,0,0,Yes,Govt_job,Urban,101.13,43.9,formerly smoked,0 +44628,Female,38,0,0,Yes,Private,Rural,91.09,22.2,never smoked,0 +38951,Female,50,0,0,Yes,Self-employed,Rural,61.54,28.4,Unknown,0 +52792,Female,39,0,0,Yes,Private,Urban,62.02,23.7,smokes,0 +27675,Female,7,0,0,No,children,Urban,103.11,18.3,Unknown,0 +6903,Female,15,0,0,No,children,Rural,77.57,18.3,Unknown,0 +35463,Male,67,0,0,Yes,Private,Urban,97.34,28.9,never smoked,0 +172,Male,8,0,0,No,children,Urban,78.76,N/A,Unknown,0 +16876,Female,32,0,0,Yes,Private,Rural,67.1,27.1,Unknown,0 +60926,Male,5,0,0,No,children,Urban,79.89,13.8,Unknown,0 +21333,Male,56,1,0,Yes,Private,Rural,206.66,21.9,smokes,0 +69183,Male,49,0,0,No,Private,Urban,95.79,24,Unknown,0 +2313,Female,75,0,1,Yes,Self-employed,Urban,83.88,N/A,smokes,0 +8041,Female,11,0,0,No,children,Rural,93.51,20.8,Unknown,0 +68171,Male,61,0,0,Yes,Self-employed,Urban,116.78,39.8,formerly smoked,0 +27948,Male,76,0,0,Yes,Self-employed,Rural,117.63,26.2,never smoked,0 +45673,Female,34,0,0,Yes,Private,Rural,60.01,43.9,Unknown,0 +50810,Male,20,0,0,No,Private,Rural,64.6,27.3,Unknown,0 +2467,Female,79,1,0,Yes,Self-employed,Rural,92.43,N/A,never smoked,0 +64165,Female,24,0,0,No,Private,Urban,71.63,22,formerly smoked,0 +22352,Female,39,0,0,Yes,Self-employed,Urban,87.79,40,formerly smoked,0 +62990,Female,55,0,0,Yes,Govt_job,Rural,99.64,20.1,formerly smoked,0 +1737,Female,16,0,0,No,Private,Rural,86.53,42.2,never smoked,0 +26357,Male,36,0,0,No,Private,Urban,200.68,25.8,Unknown,0 +28013,Female,38,0,0,Yes,Self-employed,Urban,98.37,27.2,never smoked,0 +24727,Male,20,0,0,No,Private,Rural,117.98,30.9,smokes,0 +37608,Female,38,0,0,No,Private,Urban,218.6,47.9,formerly smoked,0 +13870,Female,52,0,0,Yes,Private,Urban,101.3,33.1,smokes,0 +4655,Male,49,0,0,Yes,Private,Urban,79.51,37.8,never smoked,0 +55356,Female,80,0,0,Yes,Self-employed,Urban,223.26,25.4,never smoked,0 +49400,Male,75,0,0,Yes,Private,Rural,97.22,28.4,never smoked,0 +38132,Female,13,0,0,No,Private,Rural,172.27,16.6,never smoked,0 +50136,Female,54,1,0,Yes,Private,Urban,221.83,35.1,smokes,0 +3094,Male,28,0,0,No,Private,Urban,74.61,32.7,Unknown,0 +42727,Female,61,0,0,Yes,Private,Rural,60.91,29.8,Unknown,0 +41500,Male,0.16,0,0,No,children,Rural,69.79,13,Unknown,0 +33185,Male,59,0,0,No,Govt_job,Urban,83.6,27.5,formerly smoked,0 +7057,Male,12,0,0,No,children,Urban,83.95,23.6,Unknown,0 +48244,Female,38,0,0,No,Private,Rural,77.5,36.9,smokes,0 +69559,Male,15,0,0,No,Never_worked,Urban,64.29,16.7,Unknown,0 +61757,Male,31,0,0,Yes,Self-employed,Rural,61.1,26.5,never smoked,0 +10541,Male,52,1,0,Yes,Private,Rural,100.71,37,never smoked,0 +48169,Female,61,0,0,Yes,Self-employed,Urban,65.21,27.7,Unknown,0 +64202,Male,50,0,0,Yes,Private,Rural,119.77,23.5,Unknown,0 +7069,Female,41,0,0,Yes,Private,Rural,102.39,40.4,formerly smoked,0 +52050,Male,20,0,0,No,Private,Urban,59.67,27.7,never smoked,0 +31692,Male,67,0,0,Yes,Private,Rural,83.16,28.3,never smoked,0 +11192,Female,45,0,0,Yes,Private,Rural,218.1,55,smokes,0 +69404,Male,73,0,0,Yes,Govt_job,Rural,76.45,28.7,Unknown,0 +42700,Female,52,0,0,Yes,Private,Rural,200.46,25,Unknown,0 +7638,Female,51,0,0,Yes,Private,Urban,95.7,24.8,formerly smoked,0 +7298,Female,56,0,0,Yes,Self-employed,Rural,70.23,35.5,never smoked,0 +43615,Female,49,0,0,Yes,Self-employed,Urban,75.15,25,Unknown,0 +18134,Male,10,0,0,No,children,Rural,95.8,17.3,Unknown,0 +19324,Female,51,0,0,Yes,Govt_job,Urban,90.67,37.8,Unknown,0 +18827,Male,57,0,0,Yes,Self-employed,Rural,84.79,32.8,formerly smoked,0 +68291,Male,76,0,0,Yes,Private,Urban,147.5,28.7,Unknown,0 +70661,Female,28,0,0,No,Private,Rural,134.12,28.8,formerly smoked,0 +6019,Female,57,0,0,Yes,Private,Urban,82.62,28.4,never smoked,0 +56616,Male,39,0,0,Yes,Private,Rural,125.11,24.9,formerly smoked,0 +14399,Female,41,0,0,Yes,Private,Urban,92.14,29.6,formerly smoked,0 +8009,Female,72,1,1,Yes,Private,Urban,217.79,26.1,formerly smoked,0 +30961,Male,45,0,0,Yes,Private,Rural,95.62,29.5,smokes,0 +24201,Male,33,0,0,Yes,Private,Rural,93.8,23.9,never smoked,0 +18032,Male,62,0,1,Yes,Private,Rural,90.61,25.8,smokes,0 +62396,Female,27,0,0,Yes,Private,Urban,139.2,36.2,never smoked,0 +67055,Female,31,0,0,Yes,Private,Rural,77.01,31.3,formerly smoked,0 +51024,Female,24,0,0,Yes,Private,Urban,105.26,26.1,never smoked,0 +60774,Male,1.88,0,0,No,children,Rural,68.35,19.1,Unknown,0 +35039,Female,28,0,0,No,Private,Rural,99.07,17.6,never smoked,0 +46141,Female,24,0,0,No,Private,Rural,147.74,21.4,Unknown,0 +54240,Female,30,0,0,Yes,Govt_job,Urban,61.29,24,Unknown,0 +15929,Male,38,0,0,Yes,Govt_job,Rural,98.92,25.5,never smoked,0 +19849,Female,1.64,0,0,No,children,Urban,90.74,19.9,Unknown,0 +43282,Male,0.72,0,0,No,children,Rural,159.79,19.9,Unknown,0 +50372,Male,57,0,0,Yes,Private,Rural,233.47,35.5,never smoked,0 +5834,Female,27,0,0,No,Govt_job,Urban,85.53,26.9,smokes,0 +69847,Female,30,0,0,Yes,Self-employed,Urban,76.7,24.2,never smoked,0 +67277,Male,42,0,0,Yes,Private,Rural,67.87,30,never smoked,0 +41181,Male,36,0,0,Yes,Private,Urban,77.26,30.9,never smoked,0 +36388,Male,44,1,0,Yes,Private,Rural,91.28,26.5,never smoked,0 +49272,Male,59,0,0,Yes,Govt_job,Urban,129.19,30.6,never smoked,0 +52024,Female,61,0,0,Yes,Govt_job,Urban,97.86,19.1,formerly smoked,0 +58508,Female,18,0,0,No,Govt_job,Rural,112.33,23.2,formerly smoked,0 +64159,Female,44,0,0,Yes,Private,Rural,110.41,30.5,smokes,0 +29453,Male,16,0,0,No,children,Rural,91.58,15.8,Unknown,0 +52838,Male,13,0,0,No,children,Urban,58.86,16.9,never smoked,0 +43024,Male,9,0,0,No,children,Rural,76.88,18,Unknown,0 +8247,Male,0.16,0,0,No,children,Urban,109.52,13.9,Unknown,0 +42159,Female,81,1,0,Yes,Self-employed,Urban,181.23,36.7,never smoked,0 +37761,Female,38,0,0,Yes,Private,Urban,103.58,30.8,formerly smoked,0 +27624,Female,58,0,0,Yes,Self-employed,Rural,81.96,34.6,never smoked,0 +40242,Male,5,0,0,No,children,Rural,104.55,16.3,Unknown,0 +4383,Female,64,0,0,Yes,Govt_job,Urban,76.12,38.2,formerly smoked,0 +58577,Female,38,0,0,Yes,Govt_job,Rural,64.27,27.3,never smoked,0 +59916,Female,56,0,0,Yes,Private,Rural,200.98,30.4,smokes,0 +44526,Male,58,0,0,Yes,Govt_job,Urban,101.96,34.5,never smoked,0 +12990,Male,9,0,0,No,children,Rural,84.17,17.4,Unknown,0 +14414,Female,34,0,0,Yes,Private,Rural,85.79,32,never smoked,0 +46343,Female,79,0,0,Yes,Private,Urban,71.46,33.4,Unknown,0 +29539,Male,62,1,0,Yes,Self-employed,Rural,95.49,40.2,smokes,0 +10924,Female,60,0,0,Yes,Private,Rural,87.62,30.1,smokes,0 +30248,Female,42,0,0,No,Private,Rural,118.55,46.2,smokes,0 +39769,Female,59,0,0,Yes,Self-employed,Urban,82.14,35.6,smokes,0 +28778,Female,54,0,0,Yes,Private,Urban,219.67,29.4,smokes,0 +65257,Male,59,0,0,Yes,Private,Urban,135.84,27.3,never smoked,0 +7233,Male,15,0,0,No,children,Rural,74.83,17.4,Unknown,0 +67773,Female,14,0,0,No,children,Urban,60.37,26.9,Unknown,0 +14993,Male,5,0,0,No,children,Rural,67.28,17.7,Unknown,0 +59054,Male,17,0,0,No,Private,Rural,77.79,23.6,Unknown,0 +22554,Female,13,0,0,No,children,Rural,88.51,27.7,Unknown,0 +72512,Female,48,0,0,Yes,Self-employed,Urban,90.38,38,smokes,0 +56195,Male,37,0,0,Yes,Govt_job,Urban,156.69,35.2,never smoked,0 +7524,Female,69,0,1,Yes,Private,Urban,207.6,N/A,never smoked,0 +45795,Female,74,0,0,Yes,Private,Urban,158.9,32.4,formerly smoked,0 +64433,Male,54,0,0,Yes,Private,Urban,247.97,36.1,formerly smoked,0 +70106,Female,64,0,1,Yes,Private,Rural,114.71,30.6,never smoked,0 +50072,Female,26,0,0,No,Private,Rural,58.55,29,never smoked,0 +52530,Male,55,0,0,Yes,Govt_job,Urban,231.15,22.3,never smoked,0 +768,Female,74,0,0,Yes,Self-employed,Urban,68.18,27.3,formerly smoked,0 +40255,Female,0.48,0,0,No,children,Rural,118.75,17.4,Unknown,0 +50073,Female,41,0,1,No,Private,Rural,186.54,39,formerly smoked,0 +52439,Male,68,0,1,Yes,Private,Rural,96.14,26.7,never smoked,0 +65379,Male,9,0,0,No,children,Urban,69.52,24.2,Unknown,0 +38605,Female,36,0,0,Yes,Private,Rural,101.93,22.8,smokes,0 +35772,Male,17,0,0,No,Private,Urban,71.58,25.6,Unknown,0 +38014,Male,24,0,0,Yes,Private,Urban,83.1,21.9,smokes,0 +68330,Female,69,0,0,Yes,Self-employed,Rural,110.96,25.9,never smoked,0 +47271,Male,38,0,0,Yes,Govt_job,Urban,122.83,30.6,Unknown,0 +26330,Female,69,0,0,Yes,Private,Urban,91.65,25.7,formerly smoked,0 +24022,Female,32,0,0,No,Private,Urban,84.1,33.3,Unknown,0 +45622,Female,25,0,0,No,Private,Rural,118.85,23.8,smokes,0 +60732,Male,2,0,0,No,children,Urban,89.32,17.2,Unknown,0 +53694,Male,79,0,0,No,Self-employed,Urban,128.72,31,Unknown,0 +11280,Female,28,0,0,Yes,Private,Urban,98.05,24.7,never smoked,0 +28734,Female,16,0,0,No,Never_worked,Urban,102.1,27.1,never smoked,0 +12693,Male,31,0,0,Yes,Private,Urban,108.62,N/A,smokes,0 +17683,Male,66,0,0,Yes,Self-employed,Urban,96.19,38.3,smokes,0 +36155,Female,57,1,0,Yes,Private,Urban,98.07,50.9,formerly smoked,0 +31390,Female,61,0,0,Yes,Private,Rural,71.4,29.2,formerly smoked,0 +10636,Female,74,0,0,Yes,Self-employed,Rural,82.27,23.6,formerly smoked,0 +71659,Female,70,0,0,Yes,Govt_job,Rural,158.33,33.5,never smoked,0 +52305,Female,8,0,0,No,children,Rural,102.5,16.3,Unknown,0 +9602,Female,49,0,0,Yes,Private,Urban,72.18,30.8,Unknown,0 +68407,Male,30,0,0,Yes,Govt_job,Urban,95.94,31.1,never smoked,0 +72011,Male,51,0,0,No,Self-employed,Rural,87.15,26.4,formerly smoked,0 +40568,Female,10,0,0,No,children,Urban,82.59,18.6,formerly smoked,0 +50206,Female,34,0,0,Yes,Private,Rural,89.31,37.3,formerly smoked,0 +41191,Male,40,0,0,Yes,Private,Rural,64.84,26.6,never smoked,0 +7129,Male,3,0,0,No,children,Urban,107.52,17.6,Unknown,0 +45485,Female,45,0,0,Yes,Self-employed,Urban,92.76,22.3,Unknown,0 +32023,Male,4,0,0,No,children,Urban,79.16,20.2,Unknown,0 +33064,Male,52,0,1,Yes,Private,Urban,87,30.9,never smoked,0 +60896,Male,68,0,1,Yes,Private,Rural,145.25,31.5,never smoked,0 +2109,Female,8,0,0,No,children,Urban,125.14,29.7,Unknown,0 +27705,Female,82,0,1,Yes,Self-employed,Rural,88.6,32.5,Unknown,0 +36850,Male,36,0,0,Yes,Govt_job,Urban,57.59,32.8,Unknown,0 +52500,Female,42,0,0,Yes,Govt_job,Urban,59.43,25.4,never smoked,0 +43698,Female,27,0,0,No,Govt_job,Rural,65.43,27.2,Unknown,0 +49901,Male,55,0,0,Yes,Govt_job,Urban,154.03,31.6,smokes,0 +69120,Female,31,0,0,Yes,Self-employed,Rural,139.81,39.6,never smoked,0 +25510,Male,82,0,0,Yes,Self-employed,Urban,111.81,19.8,formerly smoked,0 +60416,Female,57,0,0,Yes,Self-employed,Urban,106.84,29.6,never smoked,0 +15135,Female,78,0,1,Yes,Private,Rural,221.06,25.5,formerly smoked,0 +34660,Male,55,0,0,Yes,Self-employed,Urban,69.97,25.8,formerly smoked,0 +11713,Male,51,0,0,Yes,Private,Rural,77.07,32.1,formerly smoked,0 +40704,Male,80,0,0,No,Private,Urban,59.49,25.6,Unknown,0 +71298,Female,17,0,0,No,Private,Rural,109.39,26.3,never smoked,0 +54497,Female,61,0,0,Yes,Private,Rural,93.97,39.4,Unknown,0 +30129,Female,62,0,0,Yes,Govt_job,Urban,163.17,25.6,never smoked,0 +44965,Female,14,0,0,No,Self-employed,Urban,124.39,34,Unknown,0 +38549,Female,62,0,0,Yes,Private,Urban,212.62,35.8,never smoked,0 +39236,Female,56,0,0,No,Self-employed,Urban,128.63,24.9,smokes,0 +50545,Male,41,0,0,Yes,Govt_job,Urban,84.1,29.3,never smoked,0 +28435,Female,59,0,0,Yes,Self-employed,Urban,77.6,23.4,Unknown,0 +4631,Male,29,0,0,Yes,Private,Urban,70.51,24.5,Unknown,0 +9912,Male,39,0,0,Yes,Private,Rural,109.19,29.8,Unknown,0 +43028,Male,66,0,0,Yes,Self-employed,Rural,55.23,28.9,Unknown,0 +38894,Female,35,0,0,Yes,Private,Urban,120.15,27.3,never smoked,0 +41238,Female,36,0,0,Yes,Private,Urban,72.16,23.2,never smoked,0 +51828,Male,35,0,0,Yes,Private,Rural,95.89,34.2,Unknown,0 +64196,Male,26,0,0,No,Private,Urban,64.68,23.3,smokes,0 +10626,Female,31,0,0,No,Private,Rural,70.51,26.9,formerly smoked,0 +4117,Female,56,0,0,Yes,Self-employed,Rural,81.77,21.8,never smoked,0 +37993,Female,36,0,0,Yes,Govt_job,Urban,66.47,26.9,never smoked,0 +57765,Female,41,0,0,Yes,Govt_job,Rural,146.08,29.9,never smoked,0 +7841,Female,50,0,0,Yes,Private,Urban,91.68,22.4,never smoked,0 +18398,Female,42,0,0,Yes,Private,Rural,108.96,27.5,never smoked,0 +50210,Male,79,0,0,Yes,Self-employed,Urban,113.41,35,never smoked,0 +52461,Male,57,0,0,Yes,Private,Urban,111.08,27.9,never smoked,0 +32523,Male,68,0,1,Yes,Private,Urban,217.74,25.5,Unknown,0 +49509,Female,25,0,0,Yes,Private,Rural,78.5,28.6,never smoked,0 +16377,Male,69,0,0,Yes,Private,Urban,89.06,34.8,formerly smoked,0 +13902,Female,42,0,0,Yes,Private,Urban,74.8,50.6,Unknown,0 +44047,Male,37,0,0,Yes,Govt_job,Rural,80.2,30.9,never smoked,0 +34184,Female,2,0,0,No,children,Rural,76.52,14.8,Unknown,0 +11312,Female,78,0,0,Yes,Self-employed,Rural,208.99,31.4,formerly smoked,0 +39616,Female,36,0,0,Yes,Private,Urban,99.72,22.3,smokes,0 +57322,Male,10,0,0,No,children,Urban,102.97,19.1,Unknown,0 +28011,Male,39,1,0,Yes,Private,Rural,197.36,27.4,Unknown,0 +242,Male,4,0,0,No,children,Urban,98.56,17.5,Unknown,0 +18178,Female,48,0,0,Yes,Private,Urban,86.06,36.2,never smoked,0 +51823,Male,72,0,0,Yes,Self-employed,Urban,123.08,25.4,smokes,0 +23439,Male,63,0,1,No,Private,Urban,75,25.7,smokes,0 +12594,Female,28,0,0,Yes,Private,Rural,105.9,28.6,smokes,0 +2692,Female,80,0,0,Yes,Self-employed,Urban,73.87,33.7,never smoked,0 +26062,Male,49,0,0,Yes,Private,Rural,78.04,37.9,never smoked,0 +6805,Male,57,0,0,No,Private,Urban,107.74,28.4,Unknown,0 +45817,Female,59,0,0,Yes,Private,Rural,60.64,20,never smoked,0 +66306,Female,43,0,0,Yes,Private,Rural,82.57,29.1,never smoked,0 +62167,Female,47,0,0,Yes,Private,Rural,115.98,27.6,Unknown,0 +16627,Male,54,0,0,Yes,Self-employed,Rural,110.38,27.6,formerly smoked,0 +34285,Male,57,0,0,Yes,Private,Rural,92.59,24.2,Unknown,0 +71151,Male,56,0,0,Yes,Private,Urban,82.64,31,never smoked,0 +2580,Male,66,0,1,No,Govt_job,Urban,70.28,34.5,never smoked,0 +11891,Male,18,0,0,No,Govt_job,Urban,106.54,27,never smoked,0 +57080,Female,81,1,1,Yes,Self-employed,Urban,59.11,20.7,formerly smoked,0 +47456,Male,30,0,0,Yes,Private,Rural,58.89,26.1,formerly smoked,0 +56139,Male,8,0,0,No,children,Urban,129.66,19.2,Unknown,0 +12857,Male,55,0,0,Yes,Self-employed,Rural,73.57,28,smokes,0 +40980,Male,79,1,0,Yes,Self-employed,Urban,72.04,23.6,formerly smoked,0 +47668,Female,49,0,0,Yes,Private,Rural,125.63,57.2,Unknown,0 +72792,Female,53,1,0,Yes,Private,Rural,77.94,33,never smoked,0 +37728,Female,26,0,0,Yes,Private,Urban,68.99,22.2,never smoked,0 +47410,Female,14,0,0,No,children,Rural,111.76,24.8,Unknown,0 +56450,Male,25,0,0,No,Private,Rural,65.36,24.7,never smoked,0 +9189,Female,20,0,0,No,Private,Urban,80.27,27.9,never smoked,0 +71966,Female,18,0,0,No,Never_worked,Urban,81.73,21.6,never smoked,0 +59272,Male,38,0,0,Yes,Private,Rural,79.22,34.8,smokes,0 +45563,Female,72,0,1,Yes,Self-employed,Urban,142.63,32.9,smokes,0 +19907,Female,52,0,0,Yes,Private,Rural,97.05,28,Unknown,0 +40163,Female,82,1,0,Yes,Private,Urban,222.52,N/A,formerly smoked,0 +62738,Male,71,0,1,Yes,Private,Rural,70.38,25,smokes,0 +51651,Male,46,0,0,Yes,Private,Rural,114.46,24.7,formerly smoked,0 +39940,Female,33,0,0,Yes,Private,Urban,64.62,27.3,never smoked,0 +8122,Female,37,0,0,Yes,Private,Urban,94.12,34.2,Unknown,0 +71057,Female,54,0,0,Yes,Private,Rural,70.19,39.1,smokes,0 +67921,Female,5,0,0,No,children,Urban,55.35,22.7,Unknown,0 +12834,Male,45,0,0,Yes,Private,Urban,115.52,33.9,formerly smoked,0 +56567,Male,14,0,0,No,children,Urban,60.7,18.6,Unknown,0 +11872,Male,5,0,0,No,children,Urban,69.24,16.7,Unknown,0 +6574,Female,35,0,0,Yes,Self-employed,Urban,103.29,20.6,never smoked,0 +5294,Female,20,0,0,Yes,Private,Rural,92.74,20.1,Unknown,0 +10870,Male,51,0,0,Yes,Private,Rural,232.64,45.2,never smoked,0 +15062,Male,40,0,0,Yes,Govt_job,Urban,82.46,25.3,smokes,0 +46454,Female,79,0,0,Yes,Govt_job,Urban,63.57,32.4,never smoked,0 +31795,Male,61,0,0,Yes,Self-employed,Urban,73.24,34.9,never smoked,0 +62395,Male,33,0,0,Yes,Private,Urban,78.43,43.7,smokes,0 +42760,Female,27,0,0,Yes,Private,Urban,57.46,23,smokes,0 +27119,Female,28,0,0,No,Private,Rural,104.16,21.5,never smoked,0 +47113,Female,67,0,0,Yes,Self-employed,Rural,110.42,24.9,never smoked,0 +36045,Female,35,0,0,Yes,Private,Rural,119.4,22.9,never smoked,0 +54871,Female,78,0,0,Yes,Private,Urban,119.13,25,never smoked,0 +48824,Female,20,0,0,No,Private,Rural,120.22,21.3,never smoked,0 +67356,Female,43,0,0,Yes,Private,Urban,80.8,46.1,never smoked,0 +70670,Female,27,0,0,Yes,Private,Rural,57.96,64.4,never smoked,0 +58477,Female,45,0,0,Yes,Private,Urban,81.24,37,never smoked,0 +53636,Female,11,0,0,No,children,Urban,88.79,21.3,never smoked,0 +24262,Female,31,0,0,Yes,Private,Rural,70.91,28.3,never smoked,0 +33886,Female,30,0,0,No,Private,Rural,87.12,31.1,smokes,0 +59126,Female,27,0,0,No,Private,Urban,126.09,25.1,Unknown,0 +31697,Female,34,0,0,Yes,Private,Urban,76.42,27.6,smokes,0 +10018,Male,19,0,0,No,Private,Rural,56.33,29.4,Unknown,0 +52447,Female,3,0,0,No,children,Rural,131.81,14.1,Unknown,0 +23238,Male,53,0,1,Yes,Private,Rural,95.23,35.2,smokes,0 +4148,Male,81,0,0,Yes,Self-employed,Urban,71.18,23.9,formerly smoked,0 +63404,Female,44,0,0,Yes,Private,Rural,87.71,34,formerly smoked,0 +13540,Female,59,0,0,Yes,Self-employed,Rural,115.68,27.1,Unknown,0 +44288,Male,43,0,0,Yes,Private,Rural,207.37,29.5,formerly smoked,0 +23194,Male,32,1,0,No,Private,Rural,74.43,N/A,Unknown,0 +751,Female,5,0,0,No,children,Rural,75.1,20.7,Unknown,0 +7047,Female,31,0,0,Yes,Private,Rural,69.72,39.5,smokes,0 +68020,Male,47,0,0,Yes,Private,Urban,111.84,33.7,Unknown,0 +11325,Female,12,0,0,No,children,Rural,111.08,23.2,never smoked,0 +25636,Male,40,0,0,Yes,Private,Rural,201.96,30.1,Unknown,0 +60602,Female,49,0,0,Yes,Govt_job,Urban,68.68,28.8,never smoked,0 +51856,Male,38,1,0,Yes,Private,Rural,56.9,92,never smoked,0 +13031,Female,15,0,0,No,children,Urban,91.16,38,never smoked,0 +19498,Female,81,0,1,No,Self-employed,Urban,99.44,27.7,Unknown,0 +51476,Male,48,0,0,Yes,Private,Urban,78.85,43.2,never smoked,0 +49762,Female,24,0,0,No,Private,Rural,123.89,24.1,smokes,0 +23449,Male,47,0,0,Yes,Self-employed,Rural,90.44,28.7,never smoked,0 +51374,Female,13,0,0,No,children,Rural,138.44,34.8,Unknown,0 +41263,Female,16,0,0,No,Private,Urban,75.06,23.5,never smoked,0 +6599,Male,64,1,0,Yes,Self-employed,Rural,85.66,28.5,never smoked,0 +16320,Female,11,0,0,No,children,Urban,102.76,20.3,Unknown,0 +64670,Female,55,0,0,Yes,Govt_job,Urban,71.79,43,formerly smoked,0 +35941,Male,38,0,0,Yes,Private,Urban,167.16,18.3,never smoked,0 +64931,Male,37,0,0,Yes,Private,Rural,131.05,27.2,never smoked,0 +27416,Female,34,0,0,Yes,Private,Rural,86.92,22,Unknown,0 +43433,Female,52,0,0,Yes,Self-employed,Rural,59.62,50.8,Unknown,0 +21366,Female,50,0,0,Yes,Private,Urban,103.72,35.4,formerly smoked,0 +14658,Female,37,0,0,Yes,Private,Rural,77.1,55.9,Unknown,0 +7538,Female,55,0,0,Yes,Self-employed,Rural,94.75,27.9,smokes,0 +52092,Female,2,0,0,No,children,Rural,77.72,19.8,Unknown,0 +45372,Male,68,0,0,Yes,Self-employed,Rural,76.09,26,smokes,0 +63043,Female,27,0,0,No,Private,Urban,61.8,26.8,formerly smoked,0 +67,Female,17,0,0,No,Private,Urban,92.97,N/A,formerly smoked,0 +68034,Female,53,1,0,Yes,Govt_job,Urban,83.73,32.5,never smoked,0 +63026,Male,5,0,0,No,children,Rural,79.33,15,Unknown,0 +18352,Female,3,0,0,No,children,Rural,108.32,14.2,Unknown,0 +36087,Female,20,0,0,No,Private,Rural,103.65,17,formerly smoked,0 +27480,Male,19,0,0,No,Private,Rural,86.19,26.2,never smoked,0 +38074,Female,31,0,0,Yes,Private,Urban,131.42,24.9,smokes,0 +66690,Female,63,0,0,Yes,Self-employed,Urban,69.46,26.6,never smoked,0 +31131,Female,49,0,1,Yes,Private,Rural,76.78,22.7,smokes,0 +26884,Female,72,0,0,Yes,Self-employed,Urban,103.78,32.7,formerly smoked,0 +26935,Female,50,1,0,Yes,Private,Urban,213.43,36.7,smokes,0 +17569,Male,41,0,0,Yes,Self-employed,Rural,93.52,31.5,Unknown,0 +24585,Male,40,0,0,Yes,Govt_job,Urban,115.07,36.9,never smoked,0 +53954,Male,17,0,0,No,Private,Rural,69.45,27.6,Unknown,0 +13286,Male,3,0,0,No,children,Rural,81,20.7,Unknown,0 +7653,Female,33,0,0,No,Private,Urban,83.16,20.2,Unknown,0 +59027,Female,12,0,0,No,children,Rural,108.63,23.4,never smoked,0 +70318,Male,23,0,0,No,Private,Rural,88.06,25.3,Unknown,0 +15422,Male,31,0,0,No,Govt_job,Rural,80.57,28.2,formerly smoked,0 +56692,Female,65,0,0,Yes,Self-employed,Urban,248.24,27,smokes,0 +45395,Female,43,0,0,Yes,Private,Urban,57.79,24.8,smokes,0 +39977,Female,22,0,0,No,Private,Urban,87.4,34.8,never smoked,0 +14553,Male,7,0,0,No,children,Urban,76.63,17.3,Unknown,0 +40998,Female,81,0,0,Yes,Self-employed,Rural,58.01,27.8,never smoked,0 +71900,Female,10,0,0,No,children,Urban,77.43,16.2,Unknown,0 +3318,Female,18,0,0,No,Private,Rural,101.12,N/A,smokes,0 +41481,Female,5,0,0,No,children,Rural,64.45,21.7,Unknown,0 +24854,Female,24,0,0,No,Self-employed,Urban,79.42,21.4,never smoked,0 +22330,Female,45,0,0,Yes,Self-employed,Urban,82.94,29.3,Unknown,0 +14892,Female,46,1,0,Yes,Private,Rural,81.58,36.2,never smoked,0 +36710,Male,64,0,0,Yes,Private,Urban,62.21,28.3,Unknown,0 +29267,Male,25,0,0,No,Private,Rural,229.94,23.5,never smoked,0 +17098,Female,12,0,0,No,children,Urban,116.06,25.9,Unknown,0 +61384,Male,81,1,0,Yes,Private,Urban,117.77,27.1,never smoked,0 +69732,Male,65,0,0,Yes,Self-employed,Urban,66.69,21.5,never smoked,0 +61238,Female,40,0,0,Yes,Private,Rural,122.23,30.5,Unknown,0 +18696,Male,81,0,0,No,Private,Urban,168.68,23.4,formerly smoked,0 +25643,Male,36,0,0,Yes,Private,Rural,119.9,37.6,never smoked,0 +63333,Female,32,0,0,Yes,Self-employed,Urban,110.33,24,smokes,0 +23210,Male,31,0,0,No,Private,Rural,77.95,25.1,never smoked,0 +2647,Male,55,0,0,Yes,Private,Rural,80.35,28.7,smokes,0 +60934,Male,39,0,0,Yes,Private,Urban,57.38,41.8,formerly smoked,0 +50412,Female,17,0,0,No,Private,Urban,96.47,25.6,Unknown,0 +1192,Female,31,0,0,No,Govt_job,Rural,70.66,27.2,never smoked,0 +55361,Female,36,0,0,Yes,Self-employed,Urban,202.06,24.4,never smoked,0 +50141,Female,5,0,0,No,children,Urban,91.3,20.7,Unknown,0 +12963,Female,29,0,0,No,Self-employed,Rural,67.56,19.6,Unknown,0 +55337,Female,2,0,0,No,children,Rural,126.12,24.8,Unknown,0 +23989,Female,62,0,0,Yes,Self-employed,Urban,86.4,32.6,smokes,0 +26025,Female,45,0,0,Yes,Govt_job,Urban,103.22,20.5,never smoked,0 +67711,Female,18,0,0,No,Private,Rural,88.85,36.2,Unknown,0 +53105,Female,29,0,0,Yes,Private,Urban,63.9,45.4,smokes,0 +10696,Female,52,0,0,Yes,Private,Urban,81.32,27.6,formerly smoked,0 +43656,Male,59,1,0,Yes,Govt_job,Rural,253.93,N/A,formerly smoked,0 +52361,Male,69,1,1,Yes,Private,Urban,78.11,34.7,formerly smoked,0 +57343,Female,71,0,0,Yes,Private,Urban,134.65,32.4,Unknown,0 +23339,Male,3,0,0,No,children,Rural,194.75,N/A,Unknown,0 +51408,Male,33,0,0,Yes,Govt_job,Rural,77.94,28.7,never smoked,0 +47886,Female,43,1,0,Yes,Govt_job,Rural,56.94,45.3,Unknown,0 +21407,Male,39,0,0,Yes,Private,Rural,117.03,40.3,formerly smoked,0 +34026,Female,60,0,0,Yes,Private,Rural,207.84,38.9,never smoked,0 +53004,Female,54,0,0,Yes,Govt_job,Rural,228.26,46,never smoked,0 +18833,Male,61,0,0,Yes,Self-employed,Rural,84.43,32.4,smokes,0 +69222,Male,0.24,0,0,No,children,Urban,57.09,19.4,Unknown,0 +32610,Female,11,0,0,No,children,Urban,94.89,27.5,never smoked,0 +57645,Female,75,0,0,Yes,Govt_job,Rural,132.46,26.2,Unknown,0 +21677,Female,64,0,0,Yes,Private,Rural,75.13,31.1,formerly smoked,0 +50410,Female,78,0,0,No,Govt_job,Rural,76.64,34.6,never smoked,0 +25051,Female,14,0,0,No,Private,Rural,91.32,24.3,never smoked,0 +31642,Female,66,0,0,Yes,Self-employed,Rural,85.9,34.6,never smoked,0 +60455,Male,48,0,0,Yes,Private,Urban,76.19,28.5,never smoked,0 +52172,Female,44,0,0,Yes,Private,Rural,85.77,32.1,Unknown,0 +69647,Male,30,0,0,No,Private,Urban,63.42,28,never smoked,0 +24972,Male,1.48,0,0,No,children,Rural,112.02,20.9,Unknown,0 +13172,Female,61,0,0,Yes,Self-employed,Urban,203.76,33.8,never smoked,0 +31911,Female,54,0,0,Yes,Govt_job,Urban,98.44,25.8,formerly smoked,0 +34415,Female,22,0,0,No,Govt_job,Urban,79.57,31.8,Unknown,0 +53219,Male,47,0,0,Yes,Private,Urban,63.98,26.8,smokes,0 +7924,Female,67,0,0,Yes,Private,Urban,101.46,25.9,formerly smoked,0 +72491,Male,53,0,0,Yes,Private,Urban,74.66,29.2,smokes,0 +59058,Female,45,0,0,Yes,Govt_job,Rural,68.66,25.3,never smoked,0 +52619,Female,65,0,0,Yes,Private,Rural,205.78,41.7,never smoked,0 +36162,Male,39,1,0,Yes,Private,Rural,111.24,38.8,never smoked,0 +68371,Male,57,0,0,Yes,Private,Urban,134.76,29.1,Unknown,0 +21067,Female,45,0,0,Yes,Self-employed,Urban,110.1,30.9,never smoked,0 +25718,Female,28,0,0,Yes,Private,Urban,100.8,39.3,formerly smoked,0 +24421,Male,30,0,0,No,Private,Urban,113.08,41.8,Unknown,0 +69528,Female,31,0,0,Yes,Private,Urban,56.48,26.2,formerly smoked,0 +56594,Female,70,0,0,Yes,Private,Urban,77.77,33.8,smokes,0 +35095,Female,17,0,0,No,Private,Urban,104.02,26.1,Unknown,0 +30002,Male,44,1,0,Yes,Self-employed,Rural,83.59,24.1,never smoked,0 +71143,Male,65,0,0,Yes,Self-employed,Urban,179.67,30.7,formerly smoked,0 +32669,Male,6,0,0,No,children,Urban,91.89,22.4,Unknown,0 +17174,Male,15,0,0,No,children,Rural,78.9,23,Unknown,0 +2818,Female,80,0,0,No,Self-employed,Rural,230.74,30.2,formerly smoked,0 +30650,Male,54,0,0,Yes,Govt_job,Rural,216.19,30.3,formerly smoked,0 +3013,Female,79,0,0,Yes,Self-employed,Rural,83.7,28.7,never smoked,0 +42806,Female,60,1,0,Yes,Private,Rural,200.66,36.3,smokes,0 +6390,Female,12,0,0,No,children,Rural,73.99,16.3,Unknown,0 +46647,Female,36,0,0,No,Private,Urban,228.5,34.5,never smoked,0 +6625,Female,54,0,0,Yes,Self-employed,Urban,70.43,20.8,smokes,0 +49605,Male,63,0,0,Yes,Private,Urban,74.39,31,formerly smoked,0 +72940,Female,2,0,0,No,children,Urban,102.92,17.6,Unknown,0 +24783,Female,28,0,0,No,Private,Urban,87.91,22.7,formerly smoked,0 +22515,Female,38,1,0,Yes,Private,Rural,118.55,38.4,smokes,0 +3700,Male,37,0,0,Yes,Private,Urban,232.29,40.8,smokes,0 +53802,Male,80,0,1,Yes,Private,Rural,125.32,32.9,Unknown,0 +49955,Male,43,0,0,No,Private,Urban,78.98,31.3,formerly smoked,0 +2456,Male,60,1,0,Yes,Govt_job,Rural,100.2,28.5,smokes,0 +71515,Female,66,0,0,Yes,Private,Rural,200.91,27.6,never smoked,0 +44662,Female,45,0,0,Yes,Govt_job,Rural,95.24,40.2,Unknown,0 +38661,Female,29,0,0,No,Private,Urban,56.64,24.7,never smoked,0 +15978,Male,4,0,0,No,children,Urban,80.48,17.7,Unknown,0 +35210,Female,48,0,0,Yes,Private,Urban,112.96,25.4,never smoked,0 +49930,Female,68,0,0,Yes,Private,Rural,236.04,28.5,never smoked,0 +27789,Female,57,0,0,Yes,Private,Urban,73,26.2,never smoked,0 +45325,Female,29,0,0,No,Private,Urban,61.13,26,never smoked,0 +31092,Female,30,0,0,Yes,Private,Urban,88.56,45.3,never smoked,0 +40705,Female,47,0,0,Yes,Self-employed,Rural,66.16,31.5,never smoked,0 +28513,Female,73,0,0,Yes,Private,Rural,88.98,20.6,smokes,0 +12367,Female,66,0,0,Yes,Self-employed,Urban,94.39,29.4,Unknown,0 +63915,Female,39,0,0,Yes,Private,Urban,87.39,57.9,never smoked,0 +10166,Male,66,0,0,No,Govt_job,Rural,77.91,39.1,Unknown,0 +35999,Female,52,0,0,Yes,Private,Urban,86.85,23.8,formerly smoked,0 +8964,Female,34,0,0,No,Private,Rural,94.37,38.1,never smoked,0 +38207,Female,79,1,0,Yes,Self-employed,Rural,76.64,19.5,never smoked,0 +52681,Female,39,0,0,Yes,Private,Urban,254.95,35.5,smokes,0 +38980,Male,61,0,0,Yes,Govt_job,Urban,107.33,26.4,formerly smoked,0 +33924,Female,26,0,0,No,Private,Urban,80.94,22.2,smokes,0 +10135,Female,37,0,0,No,Private,Rural,112.02,29.1,Unknown,0 +46517,Female,66,0,1,Yes,Private,Rural,196.58,41.9,formerly smoked,0 +65966,Female,16,0,0,No,Private,Urban,89.14,22.6,formerly smoked,0 +56575,Female,51,1,0,Yes,Govt_job,Urban,69.94,33.3,smokes,0 +43138,Male,15,0,0,No,Private,Urban,55.79,21.3,never smoked,0 +36633,Male,1.72,0,0,No,children,Urban,73.08,20.4,Unknown,0 +11632,Male,60,0,0,Yes,Private,Urban,96.02,28.7,Unknown,0 +31153,Male,66,0,0,Yes,Self-employed,Rural,189.82,28.8,formerly smoked,0 +52247,Female,75,0,0,Yes,Govt_job,Urban,89.68,38.7,never smoked,0 +61987,Female,40,0,0,Yes,Private,Urban,101.06,32.3,smokes,0 +64416,Female,52,0,0,Yes,Govt_job,Rural,62.66,37.9,Unknown,0 +31708,Female,13,0,0,No,children,Urban,84.03,25.3,Unknown,0 +62296,Female,44,0,0,Yes,Govt_job,Rural,108.38,27.7,Unknown,0 +53976,Female,37,0,0,No,Private,Rural,78.79,25.1,Unknown,0 +16446,Male,2,0,0,No,children,Rural,76.12,16.8,Unknown,0 +51329,Female,48,0,0,Yes,Private,Rural,68.01,27.7,never smoked,0 +33560,Female,81,0,1,Yes,Govt_job,Urban,90.11,28.6,never smoked,0 +37866,Female,76,0,0,Yes,Self-employed,Urban,193.61,37.6,never smoked,0 +8553,Female,58,0,0,Yes,Govt_job,Rural,195.74,32.7,Unknown,0 +5654,Female,11,0,0,No,children,Rural,94.77,22.7,Unknown,0 +17238,Female,9,0,0,No,children,Urban,85,16,Unknown,0 +45252,Male,54,0,0,Yes,Private,Urban,141.37,23.5,never smoked,0 +14444,Female,37,0,0,No,Self-employed,Urban,90.71,45.8,Unknown,0 +46503,Female,16,0,0,No,Private,Rural,106.8,20.8,never smoked,0 +18578,Male,11,0,0,No,children,Rural,121.66,16.7,Unknown,0 +917,Female,32,0,0,Yes,Private,Urban,85.18,22.2,smokes,0 +60981,Female,26,0,0,No,Private,Rural,130.07,33.1,never smoked,0 +28873,Female,21,0,0,No,Private,Rural,74.24,32.7,never smoked,0 +25446,Female,45,0,0,Yes,Govt_job,Urban,79.98,41.4,never smoked,0 +54127,Female,40,0,0,Yes,Self-employed,Urban,106.76,24.1,formerly smoked,0 +63478,Female,41,0,0,Yes,Private,Urban,76.34,28,Unknown,0 +15464,Female,71,1,1,Yes,Private,Rural,221.24,24.2,Unknown,0 +63312,Male,16,0,0,No,Private,Urban,80.55,23.5,smokes,0 +55681,Female,7,0,0,No,children,Rural,63.98,23,Unknown,0 +63804,Female,27,0,0,No,Private,Rural,55.93,20.3,smokes,0 +10321,Female,22,0,0,Yes,Private,Rural,73.94,24.8,Unknown,0 +56339,Female,79,0,0,Yes,Self-employed,Rural,65.58,26.1,Unknown,0 +56277,Female,38,0,0,Yes,Private,Rural,83.8,24.2,smokes,0 +33657,Female,64,0,0,Yes,Private,Urban,95.87,19.3,formerly smoked,0 +7054,Male,4,0,0,No,children,Rural,112.83,18.2,Unknown,0 +72393,Female,23,0,0,Yes,Govt_job,Rural,84.93,24.2,never smoked,0 +68059,Male,35,0,0,Yes,Govt_job,Rural,103.08,41.5,smokes,0 +14996,Male,66,0,0,Yes,Self-employed,Rural,85.98,28,Unknown,0 +841,Male,34,0,0,Yes,Private,Urban,83.75,37,never smoked,0 +22880,Female,19,0,0,No,Private,Urban,125.43,32.2,Unknown,0 +1552,Male,73,0,0,Yes,Private,Urban,101.58,35.9,never smoked,0 +68853,Female,70,0,0,Yes,Private,Rural,149.8,47.6,Unknown,0 +49190,Female,45,0,0,Yes,Private,Rural,112.55,32.1,never smoked,0 +49277,Female,34,0,0,No,Private,Urban,70.87,55.7,formerly smoked,0 +711,Male,81,0,0,Yes,Private,Rural,92.96,22.2,never smoked,0 +1953,Female,0.72,0,0,No,children,Rural,112.19,20.1,Unknown,0 +34900,Male,13,0,0,No,Never_worked,Urban,85.08,14.6,Unknown,0 +13237,Male,57,0,1,Yes,Self-employed,Urban,112.37,28.4,never smoked,0 +61684,Female,38,0,0,Yes,Private,Urban,151.26,20.6,never smoked,0 +28382,Male,21,0,0,No,Private,Urban,73.81,19.8,Unknown,0 +13768,Female,38,0,0,Yes,Private,Urban,77.2,23.4,Unknown,0 +32726,Female,41,0,0,No,Private,Urban,76.08,25.1,never smoked,0 +65729,Female,26,0,0,Yes,Private,Rural,123.98,30.1,never smoked,0 +6422,Female,48,0,0,Yes,Self-employed,Urban,108.51,33.3,Unknown,0 +11382,Male,18,0,0,No,Private,Rural,98.07,24,never smoked,0 +31703,Male,66,0,0,Yes,Self-employed,Urban,85.82,27.8,never smoked,0 +33439,Female,27,0,0,No,Private,Rural,86.21,21.4,Unknown,0 +5647,Female,18,0,0,No,Private,Urban,99.01,25.5,formerly smoked,0 +1847,Female,20,0,0,No,Govt_job,Rural,79.53,N/A,never smoked,0 +12900,Male,11,0,0,No,children,Rural,80.08,21.8,never smoked,0 +28367,Female,7,0,0,No,children,Rural,69.47,18.9,Unknown,0 +71551,Female,54,0,0,No,Private,Urban,85.07,21.9,Unknown,0 +13846,Male,43,0,0,Yes,Govt_job,Rural,88,30.6,never smoked,0 +61667,Female,61,0,0,Yes,Private,Rural,144.14,29.8,never smoked,0 +46079,Male,31,0,0,No,Private,Urban,78.8,28.7,smokes,0 +7871,Female,40,0,0,Yes,Private,Urban,86.78,35.5,smokes,0 +60964,Female,71,1,0,Yes,Govt_job,Rural,105.72,29.1,formerly smoked,0 +72562,Female,57,0,0,Yes,Private,Rural,64.37,32.8,never smoked,0 +63773,Female,13,0,0,No,children,Rural,146.1,22.8,never smoked,0 +53998,Female,21,0,0,No,Private,Urban,58.66,31.3,never smoked,0 +16617,Female,63,1,0,Yes,Govt_job,Urban,192.5,29,never smoked,0 +54117,Male,7,0,0,No,children,Rural,103.5,19,Unknown,0 +5987,Female,78,0,0,Yes,Private,Urban,89.42,24.1,never smoked,0 +72215,Female,66,0,0,Yes,Self-employed,Rural,212.92,21.4,never smoked,0 +39796,Male,41,0,0,No,Self-employed,Rural,60.73,28,never smoked,0 +12345,Male,11,0,0,No,children,Urban,73.18,27.6,never smoked,0 +65636,Male,55,0,0,Yes,Private,Urban,82.26,28.7,Unknown,0 +47356,Female,42,0,0,Yes,Private,Urban,87.4,24.5,formerly smoked,0 +27859,Male,51,0,0,Yes,Private,Rural,86.95,25,formerly smoked,0 +41715,Female,79,1,0,Yes,Self-employed,Rural,74,29.6,never smoked,0 +38617,Male,28,0,0,Yes,Self-employed,Urban,73.98,29.9,never smoked,0 +32638,Female,73,1,0,Yes,Self-employed,Rural,124.78,35.6,never smoked,0 +47799,Female,42,0,0,Yes,Private,Urban,191.94,27.9,never smoked,0 +41942,Female,37,0,0,Yes,Private,Urban,247.87,42.6,never smoked,0 +69010,Male,78,0,0,Yes,Private,Rural,83.2,21.2,formerly smoked,0 +47144,Female,74,0,0,Yes,Self-employed,Urban,88.62,28.5,formerly smoked,0 +65103,Female,59,0,0,Yes,Private,Urban,81.51,25.6,formerly smoked,0 +6472,Female,78,0,0,Yes,Govt_job,Urban,101.76,N/A,smokes,0 +27596,Female,82,1,0,Yes,Private,Urban,115.71,31.1,formerly smoked,0 +59522,Male,71,1,0,Yes,Private,Rural,229.73,30.4,never smoked,0 +51512,Female,19,0,0,No,Private,Rural,57.4,22.9,Unknown,0 +53821,Male,18,0,0,No,Private,Rural,100.47,31.9,never smoked,0 +51532,Female,53,0,0,Yes,Govt_job,Rural,81.36,48.8,never smoked,0 +50070,Female,62,1,0,Yes,Self-employed,Rural,261.67,43,formerly smoked,0 +41654,Male,3,0,0,No,children,Rural,110.2,21.8,Unknown,0 +5714,Female,49,1,0,Yes,Govt_job,Rural,98.9,35.5,never smoked,0 +2304,Male,51,0,0,Yes,Govt_job,Rural,95.19,24.3,smokes,0 +8543,Female,53,0,0,Yes,Private,Rural,105.28,23.1,never smoked,0 +45279,Female,10,0,0,No,children,Rural,83.03,18.5,Unknown,0 +57870,Male,54,0,0,Yes,Private,Rural,89.41,42.4,smokes,0 +56961,Female,40,0,0,No,Govt_job,Rural,70.56,32.3,never smoked,0 +8623,Female,3,0,0,No,children,Urban,78.79,22.6,Unknown,0 +21346,Female,12,0,0,No,children,Rural,70.13,17.8,Unknown,0 +36922,Male,56,0,0,Yes,Private,Rural,62.68,18.4,never smoked,0 +19814,Female,43,0,0,No,Private,Urban,71.77,26.9,never smoked,0 +22151,Female,28,0,0,No,Govt_job,Rural,77.99,32,smokes,0 +47802,Male,28,0,0,No,Private,Urban,256.74,23.4,formerly smoked,0 +25404,Male,56,0,0,Yes,Private,Rural,93.72,31.4,never smoked,0 +43487,Female,14,0,0,No,children,Urban,63.74,22.4,Unknown,0 +58313,Female,63,0,0,Yes,Self-employed,Urban,60.67,28.9,formerly smoked,0 +16629,Female,29,0,0,Yes,Private,Urban,112.08,27.4,never smoked,0 +60675,Female,48,1,0,Yes,Govt_job,Rural,221.08,57.2,never smoked,0 +1119,Male,47,0,1,Yes,Govt_job,Urban,101.81,28.4,smokes,0 +64864,Male,63,1,0,Yes,Private,Rural,60.17,23.5,smokes,0 +55244,Male,40,0,0,Yes,Self-employed,Rural,65.29,28.3,never smoked,0 +23568,Female,40,0,0,Yes,Private,Urban,153.24,38.2,Unknown,0 +56979,Male,55,0,0,Yes,Private,Rural,61.42,33.3,smokes,0 +66006,Female,43,0,0,Yes,Private,Urban,86.67,33.3,never smoked,0 +40447,Female,59,0,0,Yes,Private,Rural,82.42,28.8,never smoked,0 +62798,Female,78,1,0,Yes,Private,Rural,100.54,32.1,smokes,0 +38397,Female,27,0,0,No,Private,Urban,111.48,28.9,never smoked,0 +66945,Female,49,0,0,Yes,Private,Urban,85.33,25.5,never smoked,0 +44992,Male,14,0,0,No,Private,Urban,126.57,25.9,formerly smoked,0 +50009,Female,17,0,0,No,Private,Urban,81.51,19.5,formerly smoked,0 +5170,Male,42,0,0,Yes,Govt_job,Rural,67.97,23.8,Unknown,0 +16263,Female,36,0,0,Yes,Self-employed,Urban,77.92,24.9,Unknown,0 +16024,Male,19,0,0,No,Private,Urban,80.54,18.5,smokes,0 +47057,Male,55,0,0,Yes,Self-employed,Urban,76.47,30.6,Unknown,0 +34045,Female,8,0,0,No,children,Urban,87.15,16.1,Unknown,0 +59691,Female,56,0,0,Yes,Govt_job,Urban,86.07,32.5,Unknown,0 +49261,Male,54,0,0,No,Private,Rural,106.52,27.4,formerly smoked,0 +30734,Male,15,0,0,No,children,Rural,94.24,30.2,Unknown,0 +72184,Female,43,0,0,Yes,Self-employed,Urban,89.73,23.5,formerly smoked,0 +37440,Male,52,0,0,Yes,Govt_job,Urban,208.39,36,formerly smoked,0 +54400,Female,62,0,0,Yes,Self-employed,Rural,128.61,24.8,never smoked,0 +56547,Male,54,0,0,Yes,Private,Rural,57.56,27.5,never smoked,0 +13598,Male,60,0,0,Yes,Self-employed,Urban,227.23,40,formerly smoked,0 +24246,Male,7,0,0,No,children,Urban,77.76,18.1,Unknown,0 +29276,Male,3,0,0,No,children,Urban,72.76,18.8,Unknown,0 +20979,Female,39,0,0,No,Private,Rural,90.11,23.6,never smoked,0 +46048,Male,60,0,0,Yes,Govt_job,Rural,203.27,29.7,never smoked,0 +35217,Female,60,1,0,Yes,Private,Urban,234.5,43.7,never smoked,0 +11816,Female,46,0,0,Yes,Self-employed,Urban,71.12,27.3,never smoked,0 +48721,Male,26,0,0,No,Private,Urban,190.67,20.2,never smoked,0 +24163,Female,12,0,0,No,children,Rural,116.04,23.8,Unknown,0 +8022,Male,16,0,0,No,Private,Urban,82.95,21.4,never smoked,0 +10950,Female,2,0,0,No,children,Urban,112.75,25.1,Unknown,0 +21830,Female,82,0,0,Yes,Private,Urban,82.63,17.9,smokes,0 +26594,Female,32,0,0,Yes,Private,Urban,92.75,34.5,smokes,0 +14789,Female,62,0,0,Yes,Private,Rural,117.63,27.1,formerly smoked,0 +46670,Female,75,1,0,Yes,Self-employed,Rural,197.06,26.1,never smoked,0 +31426,Female,81,1,0,Yes,Govt_job,Urban,216.07,43.4,never smoked,0 +64435,Female,37,0,0,Yes,Private,Rural,76.03,33.2,never smoked,0 +68789,Female,28,0,0,No,Private,Urban,62.44,37.2,Unknown,0 +56254,Female,25,0,0,No,Private,Rural,108.82,41.3,smokes,0 +17478,Male,44,0,0,Yes,Govt_job,Urban,101.66,35.4,never smoked,0 +59908,Female,11,0,0,No,children,Rural,121.15,26.1,Unknown,0 +34130,Male,54,1,0,Yes,Private,Rural,116.44,24.5,never smoked,0 +22282,Male,52,1,0,Yes,Govt_job,Rural,116.62,N/A,smokes,0 +21110,Female,43,0,0,Yes,Private,Urban,93.3,32.7,never smoked,0 +71622,Female,56,0,0,Yes,Private,Urban,144.33,29.2,never smoked,0 +10056,Female,37,0,0,Yes,Private,Urban,98.02,20.4,never smoked,0 +2424,Male,60,0,0,Yes,Private,Urban,80.67,33.5,Unknown,0 +24736,Female,4,0,0,No,children,Urban,94.27,14,Unknown,0 +8920,Female,51,0,0,Yes,Self-employed,Rural,76.35,33.5,formerly smoked,0 +62715,Male,82,0,1,Yes,Private,Urban,57.56,27.5,never smoked,0 +70615,Female,56,0,0,Yes,Govt_job,Urban,179.14,35.3,Unknown,0 +43507,Female,60,0,0,Yes,Private,Rural,63.49,30.1,never smoked,0 +43035,Male,35,0,0,Yes,Private,Rural,145.18,32.6,smokes,0 +44799,Female,32,0,0,Yes,Private,Rural,66.3,47.5,never smoked,0 +49053,Female,45,0,0,No,Private,Rural,120.56,31.6,never smoked,0 +33102,Male,10,0,0,No,children,Rural,69.2,23.5,formerly smoked,0 +59405,Female,68,1,0,Yes,Private,Urban,150.74,40.3,Unknown,0 +18283,Female,51,0,0,Yes,Govt_job,Urban,81.38,34.1,smokes,0 +4929,Male,8,0,0,No,children,Urban,78.48,16.1,Unknown,0 +37289,Female,63,0,0,Yes,Self-employed,Rural,203.87,26.4,never smoked,0 +6202,Male,4,0,0,No,children,Urban,87,19,Unknown,0 +24106,Female,33,0,0,Yes,Private,Rural,84.68,34.7,formerly smoked,0 +32126,Female,56,0,1,Yes,Private,Urban,91.89,23.3,smokes,0 +56322,Male,49,0,1,Yes,Govt_job,Rural,88.97,32.6,never smoked,0 +54869,Female,30,0,0,Yes,Private,Urban,116.98,26,never smoked,0 +40887,Male,16,0,0,No,children,Urban,135.82,35.1,never smoked,0 +29764,Female,1.8,0,0,No,children,Rural,96.62,18.6,Unknown,0 +38287,Male,54,0,0,Yes,Private,Rural,106.53,30.4,formerly smoked,0 +53426,Male,49,0,0,Yes,Private,Rural,58.42,32.8,formerly smoked,0 +14943,Female,17,0,0,No,Private,Rural,79.62,21.6,never smoked,0 +65351,Male,11,0,0,No,children,Urban,141.84,23.3,Unknown,0 +61830,Male,51,0,0,Yes,Private,Rural,78.05,31.4,never smoked,0 +71777,Male,74,1,1,Yes,Private,Rural,77.16,26.3,never smoked,0 +69059,Female,42,0,0,Yes,Private,Urban,86.3,20.1,never smoked,0 +11908,Female,69,0,0,Yes,Self-employed,Urban,83.55,28.3,formerly smoked,0 +24955,Female,22,0,0,No,Private,Rural,102,40.4,smokes,0 +61477,Female,25,0,0,No,Private,Urban,68.07,18.6,smokes,0 +724,Male,17,0,0,No,Private,Rural,81.77,44.7,never smoked,0 +22614,Male,64,0,0,No,Self-employed,Rural,82.62,25.3,smokes,0 +61997,Female,50,0,0,Yes,Private,Urban,102.03,28.3,Unknown,0 +6605,Male,52,1,0,Yes,Govt_job,Urban,235.06,39.9,formerly smoked,0 +46987,Female,65,0,1,Yes,Private,Rural,57.52,N/A,formerly smoked,0 +70428,Female,37,0,0,Yes,Govt_job,Urban,76.98,34.7,never smoked,0 +2267,Female,31,0,0,Yes,Self-employed,Urban,82.31,31.9,never smoked,0 +25476,Female,52,0,0,Yes,Private,Urban,83.84,35,Unknown,0 +52960,Female,56,0,0,Yes,Self-employed,Urban,98.14,32.7,formerly smoked,0 +56600,Female,43,0,0,Yes,Private,Rural,84.04,30.6,Unknown,0 +9394,Male,11,0,0,No,children,Rural,92.24,27.9,Unknown,0 +42400,Female,2,0,0,No,children,Urban,94.92,20.4,Unknown,0 +36210,Female,16,0,0,No,Private,Rural,112.7,29.6,never smoked,0 +34416,Male,23,0,0,No,Private,Urban,74.34,23.5,never smoked,0 +37192,Female,40,0,0,Yes,Private,Urban,72.99,46.4,Unknown,0 +20237,Male,15,0,0,No,Private,Urban,104.9,27.4,never smoked,0 +60635,Male,48,0,0,Yes,Private,Rural,99.96,25.2,never smoked,0 +32571,Male,33,0,0,Yes,Private,Urban,85.27,25.8,Unknown,0 +52368,Male,46,0,0,Yes,Private,Urban,60.32,33.3,smokes,0 +66786,Female,53,0,0,Yes,Private,Rural,94.14,27.7,smokes,0 +12668,Male,68,0,0,Yes,Self-employed,Urban,195.43,28.9,never smoked,0 +64155,Male,60,0,0,Yes,Govt_job,Rural,200.25,33.1,never smoked,0 +17885,Male,57,0,0,No,Govt_job,Rural,90.31,38.1,smokes,0 +18930,Female,51,0,0,Yes,Govt_job,Urban,95.33,27.9,never smoked,0 +15728,Female,0.4,0,0,No,children,Rural,85.65,17.4,Unknown,0 +71846,Female,76,0,0,Yes,Govt_job,Urban,223.64,27.1,smokes,0 +37515,Female,46,0,0,Yes,Govt_job,Rural,76.43,22.7,Unknown,0 +25763,Female,23,0,0,No,Private,Urban,98.66,28.3,Unknown,0 +16566,Male,9,0,0,No,children,Urban,75.84,21.5,Unknown,0 +30836,Female,53,0,0,Yes,Private,Urban,85.46,30,never smoked,0 +68060,Male,4,0,0,No,children,Urban,81.33,18.6,Unknown,0 +51958,Female,62,1,0,No,Private,Urban,199.78,45.2,Unknown,0 +45285,Male,37,0,0,Yes,Private,Urban,176.42,39.7,Unknown,0 +19271,Female,82,1,1,Yes,Self-employed,Urban,101.56,31.5,never smoked,0 +6576,Female,33,0,0,Yes,Private,Urban,84.48,23.2,formerly smoked,0 +6850,Male,3,0,0,No,children,Urban,93.21,27.3,Unknown,0 +25798,Male,14,0,0,No,Private,Urban,72.88,26.5,never smoked,0 +28611,Male,16,0,0,No,Private,Urban,84.1,19.3,Unknown,0 +15061,Male,40,0,0,Yes,Govt_job,Rural,72.84,26.1,Unknown,0 +40323,Female,18,0,0,No,Private,Urban,70.89,19.8,never smoked,0 +40842,Female,29,0,0,Yes,Private,Rural,108.14,25.1,formerly smoked,0 +23765,Female,56,0,0,Yes,Govt_job,Rural,244.3,37.3,never smoked,0 +66287,Male,33,0,0,Yes,Private,Rural,88.04,30.3,formerly smoked,0 +50804,Male,2,0,0,No,children,Rural,65.84,16.1,Unknown,0 +25927,Male,36,0,0,Yes,Private,Rural,106.73,25.1,never smoked,0 +41970,Male,30,0,0,No,Private,Urban,106.03,26.7,Unknown,0 +54206,Female,31,0,0,No,Govt_job,Urban,80.88,29.3,formerly smoked,0 +46691,Male,16,0,0,No,children,Urban,140.1,38.7,never smoked,0 +37553,Male,58,0,0,Yes,Private,Urban,127.4,35.8,formerly smoked,0 +27507,Female,19,0,0,No,Private,Urban,87.72,21.7,never smoked,0 +68209,Male,47,0,0,Yes,Govt_job,Rural,58.23,31.4,formerly smoked,0 +42841,Male,59,0,0,Yes,Private,Rural,69.37,26.9,formerly smoked,0 +51889,Female,40,0,0,Yes,Private,Urban,58.64,33,never smoked,0 +72725,Female,26,0,0,No,Govt_job,Urban,59.67,24.5,smokes,0 +18605,Female,17,0,0,No,Never_worked,Urban,78.08,44.9,never smoked,0 +23599,Female,30,0,0,No,Private,Urban,105.08,25.5,never smoked,0 +45530,Female,19,0,0,No,Private,Urban,89.3,22.1,never smoked,0 +56425,Female,78,0,0,Yes,Govt_job,Rural,61.38,24.3,Unknown,0 +69972,Female,55,0,0,Yes,Private,Rural,56.11,32.4,formerly smoked,0 +5774,Male,59,0,0,Yes,Private,Urban,223.16,N/A,Unknown,0 +13307,Male,57,0,0,Yes,Govt_job,Urban,75.53,33.1,formerly smoked,0 +72188,Male,33,0,0,No,Private,Urban,107.47,26.7,never smoked,0 +60226,Female,35,0,0,Yes,Private,Urban,76,37.9,Unknown,0 +34940,Male,32,0,0,Yes,Private,Urban,90.28,39.6,never smoked,0 +4403,Female,55,0,0,Yes,Private,Urban,65.22,19.8,never smoked,0 +33051,Male,28,0,0,No,Private,Urban,86.24,30,Unknown,0 +37668,Male,25,0,0,Yes,Govt_job,Urban,166.38,23.1,never smoked,0 +27276,Female,45,0,0,Yes,Private,Urban,78.91,34.3,Unknown,0 +37808,Female,34,0,0,No,Govt_job,Urban,226.28,38.4,Unknown,0 +21678,Male,33,0,0,Yes,Private,Urban,90.73,32.8,smokes,0 +40087,Male,65,0,0,Yes,Private,Rural,172.86,34.4,never smoked,0 +38658,Female,62,0,0,Yes,Self-employed,Rural,213.92,44.6,never smoked,0 +30353,Male,36,0,0,Yes,Private,Urban,92.23,32.8,never smoked,0 +28803,Male,31,0,0,Yes,Private,Urban,79.81,26.4,never smoked,0 +10445,Male,54,0,0,Yes,Govt_job,Rural,81.78,27.3,Unknown,0 +12812,Female,53,0,0,Yes,Private,Rural,102,32.4,never smoked,0 +72289,Female,44,0,0,Yes,Private,Rural,68.42,43.2,smokes,0 +30433,Male,77,0,0,Yes,Private,Urban,94.68,33.6,Unknown,0 +37640,Female,67,0,0,Yes,Govt_job,Rural,125.33,26.4,Unknown,0 +54378,Female,48,0,0,Yes,Self-employed,Urban,212.19,46.9,never smoked,0 +34138,Male,42,0,0,Yes,Private,Urban,89,36.3,formerly smoked,0 +72160,Male,72,1,1,Yes,Private,Rural,60.98,34.9,formerly smoked,0 +44447,Male,49,0,0,Yes,Private,Urban,58.19,29.6,smokes,0 +5927,Female,1.32,0,0,No,children,Rural,67.68,16.5,Unknown,0 +44233,Female,45,0,0,Yes,Govt_job,Rural,84.99,35.4,Unknown,0 +56021,Female,63,1,0,Yes,Private,Urban,62.13,23.6,never smoked,0 +65038,Female,33,0,0,Yes,Private,Rural,57.1,33.1,never smoked,0 +3595,Male,32,0,0,Yes,Private,Urban,97.95,40.2,smokes,0 +25783,Female,0.48,0,0,No,children,Rural,94.06,14.8,Unknown,0 +68268,Female,63,0,0,Yes,Self-employed,Urban,93.88,34.8,Unknown,0 +7564,Male,70,0,0,Yes,Private,Rural,90.3,33.5,formerly smoked,0 +26723,Female,57,0,0,Yes,Private,Urban,83.14,31.9,never smoked,0 +9995,Male,8,0,0,No,children,Urban,118.66,16.1,Unknown,0 +68074,Male,54,0,0,Yes,Private,Rural,100.47,50.2,formerly smoked,0 +8385,Male,37,0,0,Yes,Private,Urban,90.78,35.9,Unknown,0 +21796,Male,59,0,0,Yes,Private,Urban,66.46,39.6,formerly smoked,0 +53115,Female,78,0,0,Yes,Govt_job,Urban,73.56,27.5,formerly smoked,0 +27623,Female,59,0,0,Yes,Private,Urban,200.8,32.3,Unknown,0 +70823,Female,10,0,0,No,children,Urban,57.28,15.4,never smoked,0 +5173,Male,21,0,0,No,Private,Rural,92.87,28.4,smokes,0 +21852,Male,2,0,0,No,children,Rural,96.47,19.5,Unknown,0 +24711,Female,55,0,0,Yes,Govt_job,Urban,99.44,25,formerly smoked,0 +21967,Female,20,0,0,Yes,Private,Urban,77.96,26.3,smokes,0 +36793,Female,38,1,0,Yes,Private,Rural,60.13,39.6,never smoked,0 +37492,Female,33,0,0,Yes,Private,Rural,88.17,38.6,formerly smoked,0 +45658,Male,14,0,0,No,Private,Rural,84.41,33.9,never smoked,0 +6264,Male,32,0,0,Yes,Private,Rural,72.34,32.2,Unknown,0 +37507,Female,32,0,0,No,Private,Rural,68.72,25.1,never smoked,0 +50557,Female,68,0,0,Yes,Self-employed,Urban,222.58,37.4,smokes,0 +21973,Male,70,0,0,Yes,Private,Rural,66.06,30.1,formerly smoked,0 +53346,Female,24,0,0,Yes,Private,Rural,156.43,27,formerly smoked,0 +41210,Male,44,0,0,No,Self-employed,Urban,105.76,32.4,formerly smoked,0 +29078,Male,39,0,0,Yes,Govt_job,Rural,73.07,26.8,smokes,0 +24873,Female,81,0,0,Yes,Private,Rural,99.48,27.2,never smoked,0 +15387,Male,19,0,0,No,Private,Rural,79.6,36.7,Unknown,0 +63880,Female,69,0,0,Yes,Self-employed,Urban,70,36,never smoked,0 +49833,Female,42,0,0,Yes,Govt_job,Rural,112.98,37.2,formerly smoked,0 +43773,Male,8,0,0,No,children,Urban,61.07,19.1,Unknown,0 +53095,Male,8,0,0,No,children,Rural,63.43,21.8,Unknown,0 +56185,Female,28,0,0,No,Private,Urban,73.2,26.5,smokes,0 +57043,Female,66,0,0,Yes,Self-employed,Urban,102.73,35,formerly smoked,0 +55545,Female,66,0,0,Yes,Self-employed,Rural,74.88,32.6,never smoked,0 +60899,Female,47,0,0,Yes,Private,Urban,122.43,23.9,never smoked,0 +16136,Female,78,0,0,Yes,Self-employed,Urban,84.21,33.7,never smoked,0 +11843,Female,65,0,0,Yes,Self-employed,Rural,80.42,29.4,formerly smoked,0 +3609,Male,78,0,0,Yes,Private,Urban,80.44,29,never smoked,0 +29172,Female,68,0,0,Yes,Self-employed,Rural,80.63,20.2,never smoked,0 +49894,Female,78,1,1,Yes,Private,Rural,206.53,N/A,never smoked,0 +6048,Female,65,0,0,Yes,Private,Urban,104.12,27.4,never smoked,0 +16029,Female,70,0,0,Yes,Self-employed,Rural,96.82,25,never smoked,0 +63022,Female,59,0,0,Yes,Self-employed,Urban,88.1,30.7,never smoked,0 +40041,Male,31,0,0,No,Self-employed,Rural,64.85,23,Unknown,0 +6924,Female,32,0,0,Yes,Private,Rural,102.87,26.6,smokes,0 +22590,Male,5,0,0,No,children,Urban,83.75,18.1,Unknown,0 +25878,Male,55,0,0,Yes,Self-employed,Rural,97.68,47.1,formerly smoked,0 +11169,Female,61,0,0,Yes,Private,Urban,97.58,29.7,formerly smoked,0 +44355,Female,48,0,0,Yes,Private,Rural,74.16,19.9,never smoked,0 +31113,Female,1.16,0,0,No,children,Urban,86,13.3,Unknown,0 +46514,Female,50,0,0,Yes,Govt_job,Urban,100.93,32.7,never smoked,0 +67466,Male,63,1,0,Yes,Private,Urban,232.78,31.8,formerly smoked,0 +3612,Male,67,0,0,Yes,Private,Rural,86.96,31.4,formerly smoked,0 +66590,Female,43,0,0,Yes,Self-employed,Urban,67.5,20.4,formerly smoked,0 +19611,Male,59,0,0,Yes,Private,Urban,81.21,33.2,smokes,0 +47216,Male,47,0,0,Yes,Private,Rural,110.14,30.5,smokes,0 +55591,Male,50,0,0,Yes,Private,Urban,120.44,30.3,never smoked,0 +24381,Male,51,0,1,Yes,Self-employed,Urban,187.47,34.2,never smoked,0 +8037,Male,44,0,1,No,Govt_job,Urban,94.62,34.4,Unknown,0 +23911,Female,39,0,0,No,Private,Rural,89.57,48.1,never smoked,0 +31596,Female,24,0,0,No,Private,Urban,95.31,22.8,never smoked,0 +44647,Male,62,0,0,No,Govt_job,Rural,75.07,30.5,never smoked,0 +51486,Female,61,0,0,Yes,Private,Rural,106.65,35.9,formerly smoked,0 +18263,Female,78,0,0,Yes,Self-employed,Urban,234.06,33.7,never smoked,0 +41930,Male,15,0,0,No,Private,Rural,144.15,24.1,never smoked,0 +45922,Female,23,0,0,No,Private,Urban,58.81,25.4,never smoked,0 +52934,Male,79,0,0,Yes,Self-employed,Urban,242.62,25.5,never smoked,0 +18020,Male,57,0,0,Yes,Private,Urban,93.04,29.2,never smoked,0 +2044,Female,70,0,1,Yes,Self-employed,Rural,65.68,N/A,Unknown,0 +63467,Male,9,0,0,No,children,Urban,150,17.4,Unknown,0 +38642,Male,55,0,0,Yes,Private,Urban,63.56,29.9,Unknown,0 +5387,Female,82,0,0,No,Private,Rural,96.98,21.5,never smoked,0 +68417,Female,19,0,0,No,Private,Rural,66.7,24.7,never smoked,0 +22477,Male,41,0,0,Yes,Private,Rural,79.66,25.1,Unknown,0 +23968,Female,79,0,0,Yes,Govt_job,Rural,90.16,34.4,never smoked,0 +8111,Female,23,0,0,No,Private,Rural,104.09,27.9,Unknown,0 +15282,Female,77,0,0,Yes,Private,Rural,90.96,31.5,formerly smoked,0 +54395,Female,78,1,0,Yes,Self-employed,Rural,152.38,31.8,never smoked,0 +25408,Female,24,0,0,Yes,Self-employed,Rural,114.54,30.1,smokes,0 +69284,Female,81,1,0,Yes,Self-employed,Urban,174.54,26.4,never smoked,0 +28348,Female,46,0,0,Yes,Private,Rural,106.47,27.2,Unknown,0 +46015,Female,29,0,0,No,Private,Urban,73.63,22.5,smokes,0 +69047,Female,59,0,0,Yes,Govt_job,Urban,98.52,29.8,formerly smoked,0 +39706,Male,41,0,0,Yes,Self-employed,Rural,62.93,26.1,smokes,0 +9143,Female,17,0,0,No,Private,Urban,67.87,24.9,formerly smoked,0 +64879,Female,8,0,0,No,children,Rural,120.43,23.5,Unknown,0 +17130,Female,23,0,0,No,Private,Rural,76.56,30.1,never smoked,0 +16420,Female,45,0,0,Yes,Private,Urban,108.03,37.3,never smoked,0 +7529,Male,67,0,0,Yes,Private,Rural,83.16,25.5,formerly smoked,0 +54022,Female,78,0,0,Yes,Self-employed,Rural,67.9,35.3,never smoked,0 +35660,Male,18,0,0,No,Private,Rural,115.46,27.6,Unknown,0 +50605,Female,35,0,0,Yes,Private,Rural,123.94,28.7,never smoked,0 +27803,Female,54,0,0,Yes,Govt_job,Urban,231.54,29.9,never smoked,0 +68981,Female,71,1,0,Yes,Govt_job,Urban,219.8,34.2,formerly smoked,0 +61505,Female,24,0,0,No,Private,Rural,187.99,24.9,smokes,0 +70677,Male,60,0,0,Yes,Private,Rural,234.45,36.8,formerly smoked,0 +49620,Male,75,0,0,Yes,Private,Rural,75.47,24.5,formerly smoked,0 +5319,Male,48,0,0,Yes,Private,Rural,98.24,34.6,never smoked,0 +51100,Male,62,0,0,Yes,Govt_job,Rural,66.2,30,Unknown,0 +163,Female,20,0,0,No,Private,Rural,94.67,28.8,Unknown,0 +55140,Male,69,1,0,No,Private,Urban,75.95,28.6,never smoked,0 +52882,Female,60,0,0,Yes,Govt_job,Rural,111.79,23.6,smokes,0 +54344,Female,12,0,0,No,children,Rural,80.89,20.1,Unknown,0 +2550,Female,28,0,0,Yes,Govt_job,Rural,86.91,21.1,formerly smoked,0 +58610,Female,55,0,0,Yes,Private,Urban,59.36,34.1,smokes,0 +16902,Female,70,0,1,Yes,Self-employed,Urban,240.69,N/A,smokes,0 +60603,Female,51,0,0,No,Private,Rural,66.67,29.5,never smoked,0 +808,Female,16,0,0,No,Private,Rural,87.54,37.8,never smoked,0 +61881,Male,56,0,0,No,Self-employed,Urban,139.87,31.2,smokes,0 +41600,Male,52,0,0,Yes,Private,Rural,67.92,31.1,never smoked,0 +12786,Female,59,0,0,Yes,Private,Urban,83.62,34.2,Unknown,0 +11935,Female,9,0,0,No,children,Rural,110.97,17.7,Unknown,0 +44655,Female,34,0,0,Yes,Private,Rural,70.53,39.2,never smoked,0 +48644,Female,47,0,0,Yes,Self-employed,Rural,115.91,22.2,formerly smoked,0 +41527,Male,46,0,0,Yes,Private,Urban,59.74,29.5,smokes,0 +50975,Male,49,0,0,Yes,Private,Rural,62.64,27,never smoked,0 +49179,Male,10,0,0,No,children,Rural,84.81,16.8,never smoked,0 +27509,Female,76,1,0,Yes,Self-employed,Urban,78.68,23.3,never smoked,0 +19191,Male,82,0,0,Yes,Private,Urban,217.57,33.5,formerly smoked,0 +25149,Female,3,0,0,No,children,Rural,79.76,15.6,Unknown,0 +42626,Female,76,1,0,Yes,Govt_job,Rural,63.28,28.2,never smoked,0 +2578,Male,16,0,0,No,Govt_job,Rural,78.48,22.6,never smoked,0 +55975,Female,44,0,0,Yes,Govt_job,Rural,70.48,20.2,never smoked,0 +62182,Female,17,0,0,No,Private,Rural,120.96,22.2,formerly smoked,0 +12037,Female,73,0,0,Yes,Self-employed,Rural,77.29,22.6,never smoked,0 +21963,Male,31,0,0,Yes,Private,Urban,108.51,26.7,Unknown,0 +26250,Male,17,0,0,No,Self-employed,Urban,113.85,22.9,Unknown,0 +13960,Female,18,0,0,No,Never_worked,Urban,97.65,21.5,Unknown,0 +56573,Male,73,0,0,Yes,Private,Rural,121.83,30.3,formerly smoked,0 +10659,Female,8,0,0,No,children,Urban,81.53,14.8,Unknown,0 +50763,Male,42,0,0,Yes,Govt_job,Urban,58.35,24.3,never smoked,0 +62075,Female,40,0,0,Yes,Private,Urban,65.42,17.4,formerly smoked,0 +10119,Male,79,0,0,Yes,Private,Rural,69.34,29,never smoked,0 +48127,Male,53,0,0,Yes,Self-employed,Urban,109.09,26.3,smokes,0 +65892,Female,58,0,0,Yes,Self-employed,Urban,66.71,51.7,never smoked,0 +33370,Female,48,0,0,Yes,Private,Rural,114.92,29.2,Unknown,0 +59049,Female,17,0,0,No,Private,Rural,120.58,18.3,never smoked,0 +53896,Female,23,0,0,No,Private,Rural,165.36,21.9,smokes,0 +21980,Male,9,0,0,No,children,Urban,66.11,16.3,Unknown,0 +70497,Female,81,1,1,Yes,Private,Rural,126.34,27.4,smokes,0 +58652,Female,16,0,0,No,Never_worked,Rural,68.27,20.4,never smoked,0 +30335,Male,21,0,0,No,Private,Rural,92.86,23.2,never smoked,0 +26305,Male,29,0,0,No,Self-employed,Rural,96.77,30.3,formerly smoked,0 +31227,Male,8,0,0,No,children,Rural,89.24,16.7,Unknown,0 +5581,Female,39,0,0,Yes,Private,Rural,89.32,31,formerly smoked,0 +1989,Male,37,0,0,Yes,Private,Rural,107.06,N/A,smokes,0 +43803,Female,64,0,0,Yes,Private,Urban,65.63,33.5,smokes,0 +41395,Male,9,0,0,No,children,Urban,123.66,17,Unknown,0 +71784,Male,17,0,0,No,Private,Rural,63.82,19.4,smokes,0 +57979,Male,8,0,0,No,children,Rural,108.06,14.6,Unknown,0 +54437,Male,62,0,0,Yes,Self-employed,Rural,136.18,32.2,Unknown,0 +67159,Male,73,1,0,No,Govt_job,Urban,71.29,37.7,never smoked,0 +7230,Male,48,0,0,Yes,Govt_job,Rural,76.58,27.4,never smoked,0 +68306,Male,17,0,0,No,Private,Rural,119.58,25,never smoked,0 +33087,Female,10,0,0,No,children,Urban,109.3,20.1,Unknown,0 +40850,Female,74,0,0,Yes,Govt_job,Urban,111.94,21.7,never smoked,0 +57612,Male,62,0,0,Yes,Private,Urban,81.64,38.2,never smoked,0 +37029,Male,5,0,0,No,children,Rural,97.64,17,Unknown,0 +338,Female,43,0,0,Yes,Private,Rural,110.32,28.4,never smoked,0 +9565,Female,39,0,0,No,Private,Rural,79,30,never smoked,0 +3623,Female,37,0,0,Yes,Self-employed,Urban,95.08,34.1,never smoked,0 +69723,Male,15,0,0,No,Private,Urban,137.27,19.3,never smoked,0 +47662,Female,36,0,0,No,Self-employed,Urban,57.83,21.6,smokes,0 +58495,Male,34,0,0,Yes,Private,Rural,84.08,32.9,never smoked,0 +71222,Male,75,1,0,Yes,Private,Urban,234.51,27.2,formerly smoked,0 +37865,Male,53,0,0,Yes,Private,Urban,142.64,27.8,smokes,0 +20185,Female,61,0,0,Yes,Self-employed,Rural,69.77,29.9,never smoked,0 +41875,Female,45,0,0,Yes,Private,Urban,71.4,28.4,smokes,0 +67602,Female,17,0,0,No,Private,Urban,79.61,24.1,Unknown,0 +40387,Female,17,0,0,No,Private,Rural,77.46,24,Unknown,0 +43208,Female,19,0,0,No,Private,Urban,96.85,23.4,Unknown,0 +54324,Female,54,1,0,No,Govt_job,Urban,182.22,32.6,formerly smoked,0 +51110,Female,51,0,0,Yes,Self-employed,Urban,67.26,33.1,formerly smoked,0 +36969,Female,44,0,0,Yes,Private,Rural,60.02,33.8,formerly smoked,0 +48118,Female,82,0,0,Yes,Self-employed,Urban,113.45,30.3,never smoked,0 +4607,Female,49,0,0,Yes,Self-employed,Urban,112.31,36.9,Unknown,0 +62471,Female,34,0,0,Yes,Self-employed,Rural,68.53,29.7,never smoked,0 +43821,Female,63,1,0,Yes,Private,Rural,57.15,38.8,never smoked,0 +7218,Female,79,0,0,Yes,Private,Rural,214.73,30.9,never smoked,0 +23427,Female,81,0,0,Yes,Private,Rural,91.82,36.9,Unknown,0 +66014,Female,14,0,0,No,children,Urban,71.8,18.8,Unknown,0 +41652,Female,31,0,0,No,Private,Urban,63.41,25.5,formerly smoked,0 +16605,Male,57,0,0,Yes,Private,Urban,106.24,32.3,never smoked,0 +42091,Male,32,0,0,Yes,Govt_job,Rural,83.01,25.8,smokes,0 +66067,Male,66,0,0,Yes,Private,Rural,67.92,31.1,formerly smoked,0 +50222,Female,22,0,0,No,Private,Rural,74.99,27.9,smokes,0 +41214,Female,1.32,0,0,No,children,Rural,75.22,18.6,Unknown,0 +72386,Female,20,0,0,No,Private,Urban,61.88,20.1,never smoked,0 +14918,Female,41,0,0,Yes,Private,Urban,65.67,26.7,smokes,0 +55457,Female,48,0,0,Yes,Private,Urban,110.18,30.3,smokes,0 +63323,Male,49,1,0,Yes,Self-employed,Rural,119.3,30.4,formerly smoked,0 +35446,Male,73,0,0,Yes,Govt_job,Rural,208.69,30,Unknown,0 +8208,Male,19,0,0,No,Private,Rural,95.18,24.9,smokes,0 +5131,Female,51,0,0,Yes,Private,Urban,107.72,60.9,Unknown,0 +68157,Male,1.08,0,0,No,children,Rural,83.27,24.3,Unknown,0 +4795,Female,31,0,0,No,Private,Rural,90.29,38.7,Unknown,0 +7581,Male,4,0,0,No,children,Urban,81.87,18.6,Unknown,0 +47383,Male,1.8,0,0,No,children,Urban,153.31,17.1,Unknown,0 +14036,Male,44,0,0,Yes,Private,Rural,101.46,29.4,Unknown,0 +25942,Female,4,0,0,No,children,Urban,72.49,16.9,Unknown,0 +24018,Male,55,0,0,Yes,Private,Rural,86.58,34.2,never smoked,0 +27801,Female,34,0,0,Yes,Private,Urban,113.26,27.6,never smoked,0 +52978,Female,30,0,0,Yes,Private,Urban,84.92,47.8,never smoked,0 +15593,Female,7,0,0,No,children,Urban,128.17,18.9,Unknown,0 +11098,Male,75,0,0,Yes,Govt_job,Rural,93.93,24.4,formerly smoked,0 +12015,Male,14,0,0,No,children,Urban,99.87,25.2,Unknown,0 +47348,Female,61,0,0,Yes,Private,Urban,129.31,30.7,formerly smoked,0 +44155,Female,55,0,0,Yes,Govt_job,Urban,89.43,26.1,formerly smoked,0 +62656,Female,14,0,0,No,children,Rural,101.6,25.3,never smoked,0 +8838,Female,36,0,0,No,Private,Rural,66.55,32.8,smokes,0 +42563,Female,57,1,1,Yes,Private,Rural,231.72,45.7,formerly smoked,0 +31254,Female,20,0,0,No,Private,Urban,96.69,24.6,Unknown,0 +27922,Male,32,0,0,Yes,Private,Rural,102.13,32.3,never smoked,0 +1696,Female,43,0,0,Yes,Private,Urban,100.88,47.6,smokes,0 +54162,Male,43,0,0,Yes,Private,Rural,66.22,34.4,Unknown,0 +70396,Female,1.08,0,0,No,children,Urban,109.33,18.2,Unknown,0 +65907,Female,49,0,0,Yes,Private,Urban,206.53,44.5,smokes,0 +49451,Female,53,0,0,Yes,Private,Rural,83.91,36.6,Unknown,0 +68601,Female,18,0,0,No,Private,Urban,67.92,19.4,never smoked,0 +13236,Female,13,0,0,No,children,Rural,73.48,22.9,Unknown,0 +65998,Male,5,0,0,No,children,Rural,101.31,20,Unknown,0 +5875,Female,37,0,0,Yes,Private,Urban,103.66,36.1,smokes,0 +47427,Male,49,0,0,Yes,Self-employed,Urban,70.73,27.3,formerly smoked,0 +29734,Female,45,0,0,No,Govt_job,Rural,77.45,42.2,formerly smoked,0 +72715,Female,50,0,1,Yes,Private,Urban,193.8,26.4,never smoked,0 +59847,Female,12,0,0,No,children,Rural,114.34,23.6,never smoked,0 +59911,Male,12,0,0,No,children,Urban,69.25,18.6,Unknown,0 +13583,Female,5,0,0,No,children,Rural,88.44,18,Unknown,0 +22897,Male,39,0,0,Yes,Private,Rural,84.09,31.1,formerly smoked,0 +11898,Female,41,0,0,Yes,Private,Urban,87.06,30,never smoked,0 +14785,Female,41,0,0,Yes,Private,Rural,92.64,43.8,never smoked,0 +45163,Female,47,0,0,Yes,Private,Urban,99.36,23.8,smokes,0 +57254,Female,57,0,0,Yes,Private,Rural,135.63,36.2,formerly smoked,0 +30658,Male,16,0,0,No,children,Rural,82.44,32.6,Unknown,0 +32617,Male,3,0,0,No,children,Urban,81.88,18,Unknown,0 +65376,Female,65,0,0,Yes,Self-employed,Urban,95.44,25.5,smokes,0 +1731,Female,80,0,0,No,Self-employed,Urban,72.71,29.9,never smoked,0 +38441,Female,58,0,0,Yes,Private,Urban,65.45,32.1,never smoked,0 +22147,Female,74,0,0,Yes,Private,Urban,203.01,25.4,never smoked,0 +50663,Female,62,0,0,Yes,Govt_job,Urban,110.84,23.4,smokes,0 +19165,Male,33,0,0,Yes,Private,Urban,83.12,23.4,Unknown,0 +60562,Female,21,0,0,No,Private,Rural,55.12,21.8,never smoked,0 +22013,Female,17,0,0,No,Private,Rural,105.91,30.8,never smoked,0 +39936,Female,49,0,0,Yes,Private,Rural,61.57,37.9,formerly smoked,0 +6517,Female,24,0,0,Yes,Govt_job,Urban,83.1,42.5,smokes,0 +62576,Female,56,0,0,Yes,Private,Urban,66.32,23.4,never smoked,0 +18636,Female,26,0,0,Yes,Govt_job,Urban,72.56,35.4,never smoked,0 +24299,Male,54,1,0,Yes,Self-employed,Rural,97.99,32.3,smokes,0 +40826,Female,42,0,0,No,Private,Urban,63.27,27,never smoked,0 +53323,Female,34,0,0,No,Govt_job,Urban,79.6,46.3,never smoked,0 +28717,Female,56,1,0,Yes,Private,Rural,177.56,30.1,never smoked,0 +53028,Female,39,0,0,Yes,Private,Rural,81.31,34.7,never smoked,0 +57757,Female,77,0,0,Yes,Self-employed,Rural,59.91,18.3,never smoked,0 +54795,Female,12,0,0,No,children,Rural,132.85,16.2,never smoked,0 +70267,Male,65,0,0,Yes,Private,Rural,198.84,33.2,formerly smoked,0 +34084,Male,7,0,0,No,children,Urban,77.12,18.6,Unknown,0 +20258,Male,25,0,0,No,Private,Urban,87.17,25.1,never smoked,0 +65333,Female,31,0,0,Yes,Private,Rural,96.03,24.1,Unknown,0 +56629,Female,14,0,0,No,Private,Rural,83.56,33.1,Unknown,0 +22417,Female,5,0,0,No,children,Rural,80.93,24.8,Unknown,0 +49925,Female,60,0,0,Yes,Private,Rural,84.54,23.4,smokes,0 +72696,Female,53,0,0,Yes,Private,Urban,70.51,54.1,never smoked,0 +39708,Male,55,0,0,Yes,Private,Rural,56.87,28.9,formerly smoked,0 +60426,Female,69,0,0,Yes,Self-employed,Urban,67.55,38.1,Unknown,0 +70540,Female,39,0,0,Yes,Private,Urban,243.52,37.2,smokes,0 +37622,Female,0.32,0,0,No,children,Urban,108.63,19.6,Unknown,0 +44813,Female,34,0,0,No,Private,Rural,69.06,29,smokes,0 +47153,Female,80,0,0,Yes,Private,Urban,73.89,26.7,formerly smoked,0 +8175,Male,20,0,0,No,Private,Urban,84.49,20.5,never smoked,0 +61528,Female,45,0,0,Yes,Govt_job,Urban,73.71,34.1,never smoked,0 +38771,Female,41,0,0,No,Govt_job,Urban,129.01,42.4,Unknown,0 +31189,Male,54,0,0,Yes,Govt_job,Urban,72.96,37.7,smokes,0 +27804,Male,23,0,0,No,Private,Rural,110.23,39.1,Unknown,0 +41842,Male,75,0,0,Yes,Govt_job,Rural,79.49,28.9,Unknown,0 +11962,Male,36,0,0,Yes,Private,Urban,89.33,30.7,never smoked,0 +45404,Female,75,0,0,Yes,Private,Rural,68.38,33.8,Unknown,0 +4062,Male,72,0,1,Yes,Private,Rural,238.27,N/A,smokes,0 +63650,Female,47,0,0,Yes,Govt_job,Urban,135.79,32.1,formerly smoked,0 +72186,Female,15,0,0,No,Private,Rural,82.19,40.5,never smoked,0 +40240,Male,40,1,0,Yes,Self-employed,Urban,93.2,24.8,smokes,0 +25931,Female,71,0,0,Yes,Self-employed,Urban,208.31,31.8,formerly smoked,0 +21292,Male,38,0,0,Yes,Private,Rural,111.33,27,never smoked,0 +25391,Female,10,0,0,No,children,Rural,69.84,13.7,Unknown,0 +65469,Male,11,0,0,No,children,Rural,121.71,23.4,never smoked,0 +29487,Male,0.72,0,0,No,children,Urban,80.08,16.4,Unknown,0 +63575,Male,9,0,0,No,children,Urban,84.4,14.9,Unknown,0 +30457,Female,53,1,0,Yes,Govt_job,Rural,98.61,38.8,smokes,0 +5951,Male,28,1,0,No,Private,Urban,86.61,38.6,smokes,0 +8690,Female,81,0,0,Yes,Private,Urban,80.44,32.2,never smoked,0 +32147,Male,1.32,0,0,No,children,Rural,107.02,N/A,Unknown,0 +47691,Male,16,0,0,No,Private,Rural,97.23,30.6,never smoked,0 +25982,Male,24,0,0,No,Private,Rural,91.21,28.1,formerly smoked,0 +70058,Female,62,1,0,Yes,Self-employed,Urban,103.69,35.2,smokes,0 +61868,Female,62,0,0,Yes,Private,Urban,74.12,21.8,formerly smoked,0 +46086,Female,59,0,0,Yes,Private,Urban,71.08,28.1,never smoked,0 +68596,Female,19,0,0,No,Private,Urban,58.39,28.2,never smoked,0 +10281,Female,51,1,0,Yes,Self-employed,Rural,176.34,28.4,never smoked,0 +31409,Male,38,0,0,Yes,Private,Rural,73.76,37.4,never smoked,0 +54067,Female,26,0,0,No,Private,Rural,67.21,21.8,formerly smoked,0 +9731,Male,13,0,0,No,children,Urban,87.98,19.8,Unknown,0 +24009,Male,4,0,0,No,children,Urban,94.23,16.2,Unknown,0 +61694,Male,55,0,0,Yes,Self-employed,Rural,111.36,33.6,never smoked,0 +7453,Female,44,0,0,Yes,Private,Urban,84.07,21.2,smokes,0 +66405,Female,31,0,0,Yes,Private,Urban,117.31,28.4,never smoked,0 +2138,Male,58,0,0,Yes,Govt_job,Urban,84.94,N/A,never smoked,0 +66650,Female,17,0,0,No,Private,Urban,68.86,41.1,never smoked,0 +59945,Female,23,0,0,No,Private,Urban,132.88,24.9,never smoked,0 +16245,Male,51,1,0,Yes,Self-employed,Rural,211.83,56.6,never smoked,0 +68094,Female,46,0,0,Yes,Private,Rural,124.92,28.8,Unknown,0 +64661,Female,81,0,0,No,Self-employed,Urban,57.42,33.7,never smoked,0 +61376,Male,38,0,0,Yes,Private,Urban,215.69,38.6,formerly smoked,0 +47236,Female,50,0,0,Yes,Private,Urban,154.67,33.8,never smoked,0 +875,Female,34,0,0,No,Private,Urban,67.66,22.4,never smoked,0 +63986,Male,60,0,0,Yes,Private,Rural,153.48,37.3,never smoked,0 +55410,Female,50,0,0,Yes,Self-employed,Urban,62.63,23.4,never smoked,0 +63287,Female,49,0,0,Yes,Private,Urban,77.93,39.1,smokes,0 +3720,Female,2,0,0,No,children,Rural,80.3,21.2,Unknown,0 +20274,Male,47,0,0,Yes,Private,Urban,106.69,31.2,Unknown,0 +50338,Female,34,0,0,Yes,Private,Urban,83.07,28,formerly smoked,0 +58209,Female,22,0,0,No,Private,Urban,140.14,21.1,never smoked,0 +20634,Female,11,0,0,No,children,Urban,92.65,15.7,never smoked,0 +3251,Male,54,0,0,Yes,Private,Urban,111.37,29.1,formerly smoked,0 +12677,Female,60,0,0,Yes,Private,Rural,99,26.1,never smoked,0 +45160,Male,3,0,0,No,children,Rural,78.24,16.2,Unknown,0 +67940,Female,46,0,0,Yes,Govt_job,Rural,83.88,27.1,never smoked,0 +8145,Male,30,0,0,No,Private,Urban,86.21,28.8,smokes,0 +39393,Female,63,0,0,Yes,Private,Urban,57.06,37.9,never smoked,0 +57710,Female,50,0,0,Yes,Private,Rural,112.25,21.6,Unknown,0 +12487,Male,65,0,0,Yes,Private,Urban,81.06,30.1,smokes,0 +16513,Male,78,0,0,Yes,Private,Urban,104.37,29.7,never smoked,0 +42297,Female,36,0,0,Yes,Private,Urban,124.31,26.4,Unknown,0 +63656,Female,18,0,0,No,Private,Urban,101.95,46,formerly smoked,0 +56233,Female,44,0,0,No,Private,Rural,116.95,26.1,never smoked,0 +22591,Female,4,0,0,No,children,Urban,99.76,23.2,Unknown,0 +23757,Female,60,0,0,No,Private,Urban,105.48,28.4,Unknown,0 +19601,Female,19,0,0,No,Private,Urban,100.6,20.5,never smoked,0 +61801,Male,15,0,0,No,Private,Urban,65.05,24.6,Unknown,0 +949,Male,20,0,0,No,Private,Rural,75.9,32.2,never smoked,0 +10995,Male,76,1,0,Yes,Private,Rural,267.6,30.5,never smoked,0 +1503,Male,31,0,0,No,Private,Urban,215.07,N/A,smokes,0 +37431,Female,39,0,0,Yes,Govt_job,Urban,109.03,24.9,Unknown,0 +53697,Male,58,0,1,Yes,Private,Rural,225.35,26.5,smokes,0 +67012,Male,64,1,0,Yes,Private,Rural,196.26,34.5,Unknown,0 +30525,Female,79,0,0,Yes,Govt_job,Urban,95.42,21.5,formerly smoked,0 +25860,Female,11,0,0,No,children,Rural,123.04,15.9,Unknown,0 +21743,Male,4,0,0,No,children,Urban,85.88,17.7,Unknown,0 +25833,Female,43,0,0,Yes,Private,Rural,107.43,26.5,never smoked,0 +64652,Female,44,0,0,Yes,Private,Rural,56.85,24.4,never smoked,0 +45710,Female,37,0,0,Yes,Govt_job,Rural,102.15,26.6,Unknown,0 +27853,Female,34,0,0,Yes,Self-employed,Rural,88.68,23.9,never smoked,0 +5964,Female,59,0,0,Yes,Private,Urban,182.52,30.1,Unknown,0 +6976,Female,40,0,0,Yes,Private,Urban,93.97,23.6,never smoked,0 +11145,Female,8,0,0,No,children,Urban,104.03,18.4,Unknown,0 +39229,Female,24,0,0,Yes,Private,Rural,67.99,32.1,never smoked,0 +14189,Male,18,0,0,No,Private,Rural,83.37,24.4,Unknown,0 +49929,Male,20,0,0,No,Private,Rural,124.66,27.3,never smoked,0 +56328,Female,70,0,0,Yes,Private,Rural,212.87,34.8,never smoked,0 +26742,Female,68,0,0,Yes,Govt_job,Urban,96.75,28.4,formerly smoked,0 +63158,Male,17,0,0,No,Private,Urban,63.28,40.2,Unknown,0 +27435,Female,17,0,0,No,Private,Urban,82.64,31.1,Unknown,0 +10829,Female,21,0,0,No,Private,Rural,71.34,24,never smoked,0 +70593,Female,38,0,0,Yes,Private,Rural,183.43,38.1,formerly smoked,0 +42647,Female,59,0,0,Yes,Govt_job,Urban,101.19,29.9,formerly smoked,0 +48109,Female,79,0,1,Yes,Private,Rural,88.51,24.5,never smoked,0 +40732,Female,50,0,0,Yes,Self-employed,Rural,126.85,49.5,formerly smoked,0 +58635,Female,72,0,0,Yes,Self-employed,Urban,74.17,35.5,formerly smoked,0 +844,Female,54,0,0,Yes,Private,Urban,76.04,29.5,smokes,0 +14688,Female,44,0,0,Yes,Private,Urban,73.87,28.8,smokes,0 +23026,Female,48,0,0,Yes,Private,Rural,99.07,22.1,never smoked,0 +30463,Male,29,0,0,No,Private,Urban,82.93,29.4,formerly smoked,0 +50140,Female,44,0,0,Yes,Govt_job,Rural,133.24,45,smokes,0 +36837,Female,61,0,0,Yes,Self-employed,Urban,69.88,27.1,never smoked,0 +57333,Female,58,0,0,Yes,Govt_job,Rural,69.12,28.3,Unknown,0 +19826,Female,81,0,0,Yes,Self-employed,Rural,86.05,20.1,formerly smoked,0 +37713,Male,29,0,0,Yes,Private,Urban,185.27,31.3,never smoked,0 +6278,Male,5,0,0,No,children,Urban,97.46,17.6,Unknown,0 +15517,Female,35,0,0,Yes,Private,Urban,81.9,24.5,never smoked,0 +25326,Female,40,0,0,No,Private,Rural,99.58,24.1,Unknown,0 +57034,Female,37,0,0,No,Private,Rural,124.54,31.3,never smoked,0 +70718,Male,33,0,0,Yes,Private,Rural,153.34,31.5,never smoked,0 +47461,Female,35,0,0,Yes,Private,Urban,112.35,29.9,Unknown,0 +50091,Female,38,0,0,No,Govt_job,Urban,160.76,30.2,smokes,0 +62416,Female,26,0,0,Yes,Private,Rural,73.29,27.8,never smoked,0 +5288,Male,10,0,0,No,children,Urban,108.08,15.6,Unknown,0 +66951,Female,72,0,0,Yes,Private,Urban,206.49,26.3,never smoked,0 +28335,Male,21,0,0,Yes,Private,Rural,77.42,24.8,never smoked,0 +67465,Female,20,0,0,No,Private,Rural,117.59,17.1,never smoked,0 +67426,Female,1.24,0,0,No,children,Rural,61.94,20.3,Unknown,0 +19508,Female,26,0,0,No,Private,Urban,116.68,18.7,formerly smoked,0 +65405,Female,79,0,0,No,Private,Urban,253.86,28.8,formerly smoked,0 +49773,Female,78,0,0,Yes,Private,Urban,203.36,28.7,formerly smoked,0 +57159,Male,56,0,0,Yes,Self-employed,Rural,125.87,24.6,never smoked,0 +69710,Female,46,0,0,No,Self-employed,Rural,64.09,25.3,never smoked,0 +58834,Male,55,0,0,Yes,Govt_job,Urban,65.33,29.7,Unknown,0 +42007,Male,41,0,0,No,Private,Rural,70.15,N/A,formerly smoked,0 +5121,Male,30,0,0,Yes,Private,Urban,96.84,21.1,Unknown,0 +44878,Male,53,0,0,Yes,Private,Rural,175.92,26.9,smokes,0 +40220,Male,32,0,0,No,Private,Rural,100.65,26.2,formerly smoked,0 +19692,Male,38,0,0,No,Private,Rural,112.39,26.3,Unknown,0 +27616,Male,33,0,0,Yes,Govt_job,Rural,81.1,24.8,never smoked,0 +19801,Female,44,0,0,Yes,Private,Rural,98.3,25,never smoked,0 +21467,Male,44,0,0,Yes,Private,Urban,89.68,34.6,Unknown,0 +25102,Female,51,0,0,Yes,Govt_job,Urban,95.16,42.7,formerly smoked,0 +28788,Male,40,0,0,Yes,Private,Urban,191.15,N/A,smokes,0 +29028,Female,41,0,0,Yes,Private,Rural,91.04,24.5,never smoked,0 +15581,Male,5,0,0,No,children,Urban,101.87,19.3,Unknown,0 +16738,Female,42,0,0,Yes,Private,Rural,96.86,29.3,never smoked,0 +31836,Female,6,0,0,No,children,Urban,91.05,22.1,Unknown,0 +43496,Female,46,0,0,Yes,Govt_job,Urban,55.84,27.8,never smoked,0 +52677,Female,47,0,0,Yes,Private,Urban,84.04,24.7,never smoked,0 +11630,Female,25,0,0,No,Private,Urban,92.06,25.3,smokes,0 +53478,Female,40,0,0,Yes,Private,Urban,89.61,41.2,formerly smoked,0 +38349,Female,49,0,0,Yes,Govt_job,Urban,69.92,47.6,never smoked,0 +48425,Male,21,0,0,No,Private,Rural,89.29,23.4,never smoked,0 +64420,Female,61,0,0,Yes,Govt_job,Rural,120.23,22.7,Unknown,0 +60271,Male,78,0,0,Yes,Private,Urban,60.22,29.7,formerly smoked,0 +38009,Male,41,0,0,Yes,Private,Urban,223.78,32.3,never smoked,0 +11184,Female,82,0,0,Yes,Self-employed,Rural,211.58,36.9,never smoked,0 +68967,Male,39,0,0,Yes,Private,Urban,179.38,27.7,Unknown,0 +66684,Male,70,0,0,Yes,Self-employed,Rural,193.88,24.3,Unknown,0 +7789,Female,31,0,0,Yes,Private,Urban,89.01,37.4,never smoked,0 +40112,Female,37,0,0,No,Private,Urban,118.41,25.1,never smoked,0 +65814,Male,21,0,0,No,Private,Urban,138.51,24.3,never smoked,0 +49598,Male,80,0,0,Yes,Self-employed,Urban,120.03,24.3,formerly smoked,0 +15599,Female,21,0,0,No,Private,Urban,91.01,28.7,never smoked,0 +62425,Female,5,0,0,No,children,Urban,61.98,16.8,Unknown,0 +52652,Male,81,0,0,Yes,Private,Rural,135.32,35.8,Unknown,0 +71957,Female,35,0,0,Yes,Private,Rural,58.72,40,smokes,0 +17231,Female,24,0,0,No,Private,Urban,90.42,24.3,never smoked,0 +30379,Female,52,0,0,Yes,Govt_job,Urban,104,25.6,smokes,0 +63997,Male,70,0,0,Yes,Private,Urban,102.5,37.8,Unknown,0 +39935,Female,34,0,0,Yes,Private,Rural,174.37,23,never smoked,0 +8203,Male,17,0,0,No,Private,Rural,106.56,21,Unknown,0 +27446,Female,8,0,0,No,children,Urban,76.31,15.5,Unknown,0 +42709,Male,1.72,0,0,No,children,Urban,77.28,17.1,Unknown,0 +22691,Female,29,0,0,Yes,Self-employed,Urban,90.52,28,never smoked,0 +37680,Male,55,0,0,Yes,Govt_job,Rural,108.35,40.8,formerly smoked,0 +24552,Female,44,0,0,Yes,Private,Rural,72.03,37.5,smokes,0 +72914,Female,19,0,0,No,Private,Urban,90.57,24.2,Unknown,0 +29540,Male,67,0,0,Yes,Private,Rural,97.04,26.9,smokes,0 +53525,Female,72,0,0,Yes,Private,Urban,83.89,33.1,formerly smoked,0 +65411,Female,51,0,0,Yes,Private,Urban,152.56,21.8,Unknown,0 +26214,Female,63,0,0,Yes,Self-employed,Rural,75.93,34.7,formerly smoked,0 +22190,Female,64,1,0,Yes,Self-employed,Urban,76.89,30.2,Unknown,0 +56714,Female,0.72,0,0,No,children,Rural,62.13,16.8,Unknown,0 +4211,Male,26,0,0,No,Govt_job,Rural,100.85,21,smokes,0 +6369,Male,59,1,0,Yes,Private,Rural,95.05,30.9,never smoked,0 +56799,Male,76,0,0,Yes,Govt_job,Urban,82.35,38.9,never smoked,0 +32235,Female,45,1,0,Yes,Govt_job,Rural,95.02,N/A,smokes,0 +28048,Male,13,0,0,No,children,Urban,82.38,24.3,Unknown,0 +68598,Male,1.08,0,0,No,children,Rural,79.15,17.4,Unknown,0 +41512,Male,57,0,0,Yes,Govt_job,Rural,76.62,28.2,never smoked,0 +64520,Male,68,0,0,Yes,Self-employed,Urban,91.68,40.8,Unknown,0 +579,Male,9,0,0,No,children,Urban,71.88,17.5,Unknown,0 +7293,Male,40,0,0,Yes,Private,Rural,83.94,N/A,smokes,0 +68398,Male,82,1,0,Yes,Self-employed,Rural,71.97,28.3,never smoked,0 +36901,Female,45,0,0,Yes,Private,Urban,97.95,24.5,Unknown,0 +45010,Female,57,0,0,Yes,Private,Rural,77.93,21.7,never smoked,0 +22127,Female,18,0,0,No,Private,Urban,82.85,46.9,Unknown,0 +14180,Female,13,0,0,No,children,Rural,103.08,18.6,Unknown,0 +18234,Female,80,1,0,Yes,Private,Urban,83.75,N/A,never smoked,0 +44873,Female,81,0,0,Yes,Self-employed,Urban,125.2,40,never smoked,0 +19723,Female,35,0,0,Yes,Self-employed,Rural,82.99,30.6,never smoked,0 +37544,Male,51,0,0,Yes,Private,Rural,166.29,25.6,formerly smoked,0 +44679,Female,44,0,0,Yes,Govt_job,Urban,85.28,26.2,Unknown,0 \ No newline at end of file diff --git a/lab_7/lab_7.ipynb b/lab_7/lab_7.ipynb new file mode 100644 index 0000000..97837c0 --- /dev/null +++ b/lab_7/lab_7.ipynb @@ -0,0 +1,134 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "

\n", + "\n", + "\n", + "

\n", + "

\n" + ] + }, + { + "cell_type": "code", + "execution_count": 7, + "metadata": {}, + "outputs": [], + "source": [ + "import pandas as pd\n", + "import skfuzzy.control as control\n", + "import skfuzzy as fuzzy\n", + "import numpy as np\n", + "\n", + "\n", + "# считаем данные и поределим входные и выходные переменные\n", + "data = pd.read_csv(\"./csv/option4.csv\")" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "

\n", + "Так как мы предсказываем инсульт, то входными переменными будут самые, пожалуй, важные критерии - возраст, уровень сахара в крови, ИМТ, гипертония (ее наличие/отсутствие) и сердечный приступ (тоже его наличие/отсутствие)

а вот ВЫходной переменной будет, естесственно, сам инсульт (наличие/отсутствие)\n", + "

\n" + ] + }, + { + "cell_type": "code", + "execution_count": 8, + "metadata": {}, + "outputs": [], + "source": [ + "age = control.Antecedent(np.arange(0, 101, 1), 'age') # возраст от 0 до 100 с шагом 1 год и т.д.\n", + "glucose = control.Antecedent(np.arange(50, 301, 1), 'glucose')\n", + "bmi = control.Antecedent(np.arange(10, 50, 0.1), 'bmi')\n", + "hypertension = control.Antecedent(np.arange(0, 2, 1), 'hypertension')\n", + "heart_disease = control.Antecedent(np.arange(0, 2, 1), 'heart_disease')\n", + "\n", + "# а теперь выходная переменная (Consequent)\n", + "stroke_risk = control.Consequent(np.arange(0, 1.1, 0.1), 'stroke_risk')" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "

\n", + "НАКОНЕЦ Я УСТАНОВИЛА ВСЕ ПАКЕТЫ етить его\n", + "

\n", + "\n", + "

\n", + "теперь самое время определить нечеткие переменные, которые сложатся... в лингвистические\n", + "

\n" + ] + }, + { + "cell_type": "code", + "execution_count": 19, + "metadata": {}, + "outputs": [ + { + "ename": "ImportError", + "evalue": "`FuzzyVariableVisualizer` can only be used with `matplotlib` present in the system.", + "output_type": "error", + "traceback": [ + "\u001b[1;31m---------------------------------------------------------------------------\u001b[0m", + "\u001b[1;31mImportError\u001b[0m Traceback (most recent call last)", + "Cell \u001b[1;32mIn[19], line 8\u001b[0m\n\u001b[0;32m 6\u001b[0m age[\u001b[38;5;124m'\u001b[39m\u001b[38;5;124mold\u001b[39m\u001b[38;5;124m'\u001b[39m] \u001b[38;5;241m=\u001b[39m fuzzy\u001b[38;5;241m.\u001b[39mtrimf(age\u001b[38;5;241m.\u001b[39muniverse, [\u001b[38;5;241m45\u001b[39m, \u001b[38;5;241m60\u001b[39m, \u001b[38;5;241m75\u001b[39m])\n\u001b[0;32m 7\u001b[0m age[\u001b[38;5;124m'\u001b[39m\u001b[38;5;124maged\u001b[39m\u001b[38;5;124m'\u001b[39m] \u001b[38;5;241m=\u001b[39m fuzzy\u001b[38;5;241m.\u001b[39mtrimf(age\u001b[38;5;241m.\u001b[39muniverse, [\u001b[38;5;241m70\u001b[39m, \u001b[38;5;241m90\u001b[39m, \u001b[38;5;241m100\u001b[39m])\n\u001b[1;32m----> 8\u001b[0m \u001b[43mage\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mview\u001b[49m\u001b[43m(\u001b[49m\u001b[43m)\u001b[49m\n\u001b[0;32m 9\u001b[0m plt\u001b[38;5;241m.\u001b[39mshow()\n\u001b[0;32m 11\u001b[0m \u001b[38;5;66;03m# сахар\u001b[39;00m\n\u001b[0;32m 12\u001b[0m \u001b[38;5;66;03m# ИМТ\u001b[39;00m\n\u001b[0;32m 13\u001b[0m \u001b[38;5;66;03m# гипертония\u001b[39;00m\n\u001b[0;32m 14\u001b[0m \u001b[38;5;66;03m# пердечный сриступ\u001b[39;00m\n", + "File \u001b[1;32md:\\code\\mai\\labs\\AIM-PIbd-31-Bakalskaya-E-D\\lab_7\\.venv\\Lib\\site-packages\\skfuzzy\\control\\fuzzyvariable.py:124\u001b[0m, in \u001b[0;36mFuzzyVariable.view\u001b[1;34m(self, *args, **kwargs)\u001b[0m\n\u001b[0;32m 122\u001b[0m \u001b[38;5;28;01mdef\u001b[39;00m\u001b[38;5;250m \u001b[39m\u001b[38;5;21mview\u001b[39m(\u001b[38;5;28mself\u001b[39m, \u001b[38;5;241m*\u001b[39margs, \u001b[38;5;241m*\u001b[39m\u001b[38;5;241m*\u001b[39mkwargs):\n\u001b[0;32m 123\u001b[0m \u001b[38;5;250m \u001b[39m\u001b[38;5;124;03m\"\"\"\"\"\"\u001b[39;00m \u001b[38;5;241m+\u001b[39m FuzzyVariableVisualizer\u001b[38;5;241m.\u001b[39mview\u001b[38;5;241m.\u001b[39m\u001b[38;5;18m__doc__\u001b[39m\n\u001b[1;32m--> 124\u001b[0m fig, ax \u001b[38;5;241m=\u001b[39m \u001b[43mFuzzyVariableVisualizer\u001b[49m\u001b[43m(\u001b[49m\u001b[38;5;28;43mself\u001b[39;49m\u001b[43m)\u001b[49m\u001b[38;5;241m.\u001b[39mview(\u001b[38;5;241m*\u001b[39margs, \u001b[38;5;241m*\u001b[39m\u001b[38;5;241m*\u001b[39mkwargs)\n\u001b[0;32m 125\u001b[0m fig\u001b[38;5;241m.\u001b[39mshow()\n", + "File \u001b[1;32md:\\code\\mai\\labs\\AIM-PIbd-31-Bakalskaya-E-D\\lab_7\\.venv\\Lib\\site-packages\\skfuzzy\\control\\visualization.py:40\u001b[0m, in \u001b[0;36mFuzzyVariableVisualizer.__init__\u001b[1;34m(self, fuzzy_var)\u001b[0m\n\u001b[0;32m 32\u001b[0m \u001b[38;5;250m\u001b[39m\u001b[38;5;124;03m\"\"\"\u001b[39;00m\n\u001b[0;32m 33\u001b[0m \u001b[38;5;124;03mInitialize the fuzzy variable plot.\u001b[39;00m\n\u001b[0;32m 34\u001b[0m \n\u001b[1;32m (...)\u001b[0m\n\u001b[0;32m 37\u001b[0m \u001b[38;5;124;03mfuzzy_var : FuzzyVariable or Term to plot\u001b[39;00m\n\u001b[0;32m 38\u001b[0m \u001b[38;5;124;03m\"\"\"\u001b[39;00m\n\u001b[0;32m 39\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m \u001b[38;5;129;01mnot\u001b[39;00m matplotlib_present:\n\u001b[1;32m---> 40\u001b[0m \u001b[38;5;28;01mraise\u001b[39;00m \u001b[38;5;167;01mImportError\u001b[39;00m(\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124m`FuzzyVariableVisualizer` can only be used \u001b[39m\u001b[38;5;124m\"\u001b[39m\n\u001b[0;32m 41\u001b[0m \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mwith `matplotlib` present in the system.\u001b[39m\u001b[38;5;124m\"\u001b[39m)\n\u001b[0;32m 42\u001b[0m \u001b[38;5;28;01mfrom\u001b[39;00m\u001b[38;5;250m \u001b[39m\u001b[38;5;21;01m.\u001b[39;00m\u001b[38;5;21;01mfuzzyvariable\u001b[39;00m\u001b[38;5;250m \u001b[39m\u001b[38;5;28;01mimport\u001b[39;00m FuzzyVariable, Term\n\u001b[0;32m 44\u001b[0m \u001b[38;5;66;03m# self.term allows us to know if this is a Term quickly, later\u001b[39;00m\n", + "\u001b[1;31mImportError\u001b[0m: `FuzzyVariableVisualizer` can only be used with `matplotlib` present in the system." + ] + } + ], + "source": [ + "import matplotlib.pyplot as plt\n", + "\n", + "# возраст\n", + "age['young'] = fuzzy.trimf(age.universe, [0, 20, 30])\n", + "age['middle'] = fuzzy.trimf(age.universe, [25, 40, 50])\n", + "age['old'] = fuzzy.trimf(age.universe, [45, 60, 75])\n", + "age['aged'] = fuzzy.trimf(age.universe, [70, 90, 100])\n", + "age.view()\n", + "plt.show()\n", + "\n", + "# сахар\n", + "# ИМТ\n", + "# гипертония\n", + "# пердечный сриступ\n", + "\n", + "\n" + ] + } + ], + "metadata": { + "kernelspec": { + "display_name": ".venv", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.12.6" + } + }, + "nbformat": 4, + "nbformat_minor": 2 +} diff --git a/lab_7/requirements.txt b/lab_7/requirements.txt new file mode 100644 index 0000000000000000000000000000000000000000..3674285838a214cd59a2575a13eb2d4d035ed097 GIT binary patch literal 2670 zcmZve%WfJ`5Jc}fQa**q1ICUQS!5fu~AX`OCUqrblCGfZF7xt=P0PM^|LmPh$4(_D}3XY#@0tDaFh>-`p~ zmS-#fE)A4ztH18`-9~Y5k%j0{pFKxygE8d^SHZHeEdt9@v#Q0RwF1-QbQK&df}cB~qPMxc(9R(7{p7&v zFoDjKAy*^6g4~ssn&U*@Z}c>gWu`pzio%*hE>Gw@suQylLbQtFCg~_^tn=PrST2ITu^r2_;I*>}M}naK-<54T2duf_q}j9Z2DwZ@EzeRcOTm zYFMgDMoQ=AAJ0x5(eGNDmg_TV*KgDX8u9*fA7I)Wuv30^sFrfAU*dh`iboULFITeM z7~;8oMn(_J#q;H|ZGxNU9yfMy89BVcAG^xML`CER0bX!D3O087o-4PL_l+K32PSDP z;SD%$h&^s%A$MxEs?Jk#b7N0)!n z_jH|pMyyqpbwlKvIC$vudfPIKY}cJ0E3Q}&x4R#%Y{XdWTsm&$acXCZ(_7y z&#V@|Y1-HT&wQYWy|BFrA!@;sEjMqco~PFn<>P5?>`9+w@m8QbE1x%dtqTRB;%>+wM_e@T2HuVZKou)by^1P`RfyZ;|gr<(og!!(YB^auH zt6{`m%sX#C?;)e1&iT=8?=&B732#?+_C?Xw3Kuc|dNaCmnL4S1H#QuC^H`xE;0AD= ocw>%w517v!Jc~v4W~K~_u)`1bs%M^?yOllP-mJt?D9Kv<3kh?FumAu6 literal 0 HcmV?d00001 From e6c58fba6f2fe66237dc2233a37dcbef8dfc08be Mon Sep 17 00:00:00 2001 From: =?UTF-8?q?=D0=95=D0=BB=D0=B5=D0=BD=D0=B0=20=D0=91=D0=B0=D0=BA=D0=B0?= =?UTF-8?q?=D0=BB=D1=8C=D1=81=D0=BA=D0=B0=D1=8F?= Date: Wed, 26 Feb 2025 16:44:48 +0400 Subject: [PATCH 2/6] =?UTF-8?q?=D1=8F=20=D1=81=D0=BD=D0=BE=D0=B2=D0=B0=20?= =?UTF-8?q?=D0=BF=D1=80=D0=BE=D0=B4=D0=BE=D0=BB=D0=B6=D0=B0=D1=8E=20=D0=B4?= =?UTF-8?q?=D0=B5=D0=BB=D0=B0=D1=82=D1=8C=20=D0=BB=D0=B0=D0=B1=D1=83,=20?= =?UTF-8?q?=D1=83=D1=80=D0=B0,=20=D0=BC=D0=B5=D1=81=D1=8F=D1=86=20=D1=83?= =?UTF-8?q?=D1=87=D0=B5=D0=B1=D1=8B=20=D0=BF=D1=80=D0=BE=D1=88=D0=B5=D0=BB?= =?UTF-8?q?=20:DDD?= MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit --- lab_7/lab_7.ipynb | 100 +++++++++++++++++++++++++++++++++++++--------- 1 file changed, 81 insertions(+), 19 deletions(-) diff --git a/lab_7/lab_7.ipynb b/lab_7/lab_7.ipynb index 97837c0..a982a2a 100644 --- a/lab_7/lab_7.ipynb +++ b/lab_7/lab_7.ipynb @@ -19,7 +19,7 @@ }, { "cell_type": "code", - "execution_count": 7, + "execution_count": 2, "metadata": {}, "outputs": [], "source": [ @@ -44,7 +44,7 @@ }, { "cell_type": "code", - "execution_count": 8, + "execution_count": 3, "metadata": {}, "outputs": [], "source": [ @@ -73,41 +73,103 @@ }, { "cell_type": "code", - "execution_count": 19, + "execution_count": 9, "metadata": {}, "outputs": [ { - "ename": "ImportError", - "evalue": "`FuzzyVariableVisualizer` can only be used with `matplotlib` present in the system.", - "output_type": "error", - "traceback": [ - "\u001b[1;31m---------------------------------------------------------------------------\u001b[0m", - "\u001b[1;31mImportError\u001b[0m Traceback (most recent call last)", - "Cell \u001b[1;32mIn[19], line 8\u001b[0m\n\u001b[0;32m 6\u001b[0m age[\u001b[38;5;124m'\u001b[39m\u001b[38;5;124mold\u001b[39m\u001b[38;5;124m'\u001b[39m] \u001b[38;5;241m=\u001b[39m fuzzy\u001b[38;5;241m.\u001b[39mtrimf(age\u001b[38;5;241m.\u001b[39muniverse, [\u001b[38;5;241m45\u001b[39m, \u001b[38;5;241m60\u001b[39m, \u001b[38;5;241m75\u001b[39m])\n\u001b[0;32m 7\u001b[0m age[\u001b[38;5;124m'\u001b[39m\u001b[38;5;124maged\u001b[39m\u001b[38;5;124m'\u001b[39m] \u001b[38;5;241m=\u001b[39m fuzzy\u001b[38;5;241m.\u001b[39mtrimf(age\u001b[38;5;241m.\u001b[39muniverse, [\u001b[38;5;241m70\u001b[39m, \u001b[38;5;241m90\u001b[39m, \u001b[38;5;241m100\u001b[39m])\n\u001b[1;32m----> 8\u001b[0m \u001b[43mage\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mview\u001b[49m\u001b[43m(\u001b[49m\u001b[43m)\u001b[49m\n\u001b[0;32m 9\u001b[0m plt\u001b[38;5;241m.\u001b[39mshow()\n\u001b[0;32m 11\u001b[0m \u001b[38;5;66;03m# сахар\u001b[39;00m\n\u001b[0;32m 12\u001b[0m \u001b[38;5;66;03m# ИМТ\u001b[39;00m\n\u001b[0;32m 13\u001b[0m \u001b[38;5;66;03m# гипертония\u001b[39;00m\n\u001b[0;32m 14\u001b[0m \u001b[38;5;66;03m# пердечный сриступ\u001b[39;00m\n", - "File \u001b[1;32md:\\code\\mai\\labs\\AIM-PIbd-31-Bakalskaya-E-D\\lab_7\\.venv\\Lib\\site-packages\\skfuzzy\\control\\fuzzyvariable.py:124\u001b[0m, in \u001b[0;36mFuzzyVariable.view\u001b[1;34m(self, *args, **kwargs)\u001b[0m\n\u001b[0;32m 122\u001b[0m \u001b[38;5;28;01mdef\u001b[39;00m\u001b[38;5;250m \u001b[39m\u001b[38;5;21mview\u001b[39m(\u001b[38;5;28mself\u001b[39m, \u001b[38;5;241m*\u001b[39margs, \u001b[38;5;241m*\u001b[39m\u001b[38;5;241m*\u001b[39mkwargs):\n\u001b[0;32m 123\u001b[0m \u001b[38;5;250m \u001b[39m\u001b[38;5;124;03m\"\"\"\"\"\"\u001b[39;00m \u001b[38;5;241m+\u001b[39m FuzzyVariableVisualizer\u001b[38;5;241m.\u001b[39mview\u001b[38;5;241m.\u001b[39m\u001b[38;5;18m__doc__\u001b[39m\n\u001b[1;32m--> 124\u001b[0m fig, ax \u001b[38;5;241m=\u001b[39m \u001b[43mFuzzyVariableVisualizer\u001b[49m\u001b[43m(\u001b[49m\u001b[38;5;28;43mself\u001b[39;49m\u001b[43m)\u001b[49m\u001b[38;5;241m.\u001b[39mview(\u001b[38;5;241m*\u001b[39margs, \u001b[38;5;241m*\u001b[39m\u001b[38;5;241m*\u001b[39mkwargs)\n\u001b[0;32m 125\u001b[0m fig\u001b[38;5;241m.\u001b[39mshow()\n", - "File \u001b[1;32md:\\code\\mai\\labs\\AIM-PIbd-31-Bakalskaya-E-D\\lab_7\\.venv\\Lib\\site-packages\\skfuzzy\\control\\visualization.py:40\u001b[0m, in \u001b[0;36mFuzzyVariableVisualizer.__init__\u001b[1;34m(self, fuzzy_var)\u001b[0m\n\u001b[0;32m 32\u001b[0m \u001b[38;5;250m\u001b[39m\u001b[38;5;124;03m\"\"\"\u001b[39;00m\n\u001b[0;32m 33\u001b[0m \u001b[38;5;124;03mInitialize the fuzzy variable plot.\u001b[39;00m\n\u001b[0;32m 34\u001b[0m \n\u001b[1;32m (...)\u001b[0m\n\u001b[0;32m 37\u001b[0m \u001b[38;5;124;03mfuzzy_var : FuzzyVariable or Term to plot\u001b[39;00m\n\u001b[0;32m 38\u001b[0m \u001b[38;5;124;03m\"\"\"\u001b[39;00m\n\u001b[0;32m 39\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m \u001b[38;5;129;01mnot\u001b[39;00m matplotlib_present:\n\u001b[1;32m---> 40\u001b[0m \u001b[38;5;28;01mraise\u001b[39;00m \u001b[38;5;167;01mImportError\u001b[39;00m(\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124m`FuzzyVariableVisualizer` can only be used \u001b[39m\u001b[38;5;124m\"\u001b[39m\n\u001b[0;32m 41\u001b[0m \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mwith `matplotlib` present in the system.\u001b[39m\u001b[38;5;124m\"\u001b[39m)\n\u001b[0;32m 42\u001b[0m \u001b[38;5;28;01mfrom\u001b[39;00m\u001b[38;5;250m \u001b[39m\u001b[38;5;21;01m.\u001b[39;00m\u001b[38;5;21;01mfuzzyvariable\u001b[39;00m\u001b[38;5;250m \u001b[39m\u001b[38;5;28;01mimport\u001b[39;00m FuzzyVariable, Term\n\u001b[0;32m 44\u001b[0m \u001b[38;5;66;03m# self.term allows us to know if this is a Term quickly, later\u001b[39;00m\n", - "\u001b[1;31mImportError\u001b[0m: `FuzzyVariableVisualizer` can only be used with `matplotlib` present in the system." - ] + "data": { + "image/png": "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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "image/png": "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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "image/png": "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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" } ], "source": [ "import matplotlib.pyplot as plt\n", "\n", "# возраст\n", - "age['young'] = fuzzy.trimf(age.universe, [0, 20, 30])\n", - "age['middle'] = fuzzy.trimf(age.universe, [25, 40, 50])\n", - "age['old'] = fuzzy.trimf(age.universe, [45, 60, 75])\n", - "age['aged'] = fuzzy.trimf(age.universe, [70, 90, 100])\n", + "age['young'] = fuzzy.zmf(age.universe, 0, 30)\n", + "age['middle'] = fuzzy.trapmf(age.universe, [18, 20, 30, 40])\n", + "age['old'] = fuzzy.trapmf(age.universe, [40, 50, 60, 70])\n", + "age['aged'] = fuzzy.smf(age.universe, 60, 100) \n", "age.view()\n", - "plt.show()\n", + "# plt.show()\n", "\n", "# сахар\n", + "glucose['low'] = fuzzy.zmf(glucose.universe, 50, 80)\n", + "glucose['normal'] = fuzzy.trapmf(glucose.universe, [70, 80, 90, 100])\n", + "glucose['hight'] = fuzzy.smf(glucose.universe, 100, 300)\n", + "glucose.view()\n", + "\n", "# ИМТ\n", + "bmi['low'] = fuzzy.zmf(bmi.universe, 0, 19)\n", + "bmi['normal'] = fuzzy.trimf(bmi.universe, [18, 20, 25])\n", + "bmi['hight'] = fuzzy.smf(bmi.universe, 25, 50)\n", + "bmi.view()\n", + "\n", "# гипертония\n", "# пердечный сриступ\n", "\n", "\n" ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] } ], "metadata": { From cc41f7e505d54e2c4de1d2d47219b87e2d03bb46 Mon Sep 17 00:00:00 2001 From: =?UTF-8?q?=D0=95=D0=BB=D0=B5=D0=BD=D0=B0=20=D0=91=D0=B0=D0=BA=D0=B0?= =?UTF-8?q?=D0=BB=D1=8C=D1=81=D0=BA=D0=B0=D1=8F?= Date: Wed, 26 Feb 2025 17:29:35 +0400 Subject: [PATCH 3/6] =?UTF-8?q?=D0=BF=D1=80=D0=B0=D0=B2=D0=B8=D0=BB=D0=B0?= =?UTF-8?q?=20=D0=BD=D0=B0=D0=BF=D0=B8=D1=81=D0=B0=D0=BD=D1=8B,=20=D1=81?= =?UTF-8?q?=D0=BE=20=D1=81=D1=82=D0=B8=D0=BB=D1=8F=D0=BC=D0=B8=20=D0=BF?= =?UTF-8?q?=D0=BE=D0=B1=D0=B0=D0=BB=D0=BE=D0=B2=D0=B0=D0=BB=D0=B0=D1=81?= =?UTF-8?q?=D1=8C,=20=D1=82=D0=B5=D0=BF=D0=B5=D1=80=D1=8C...=20=D0=B2?= =?UTF-8?q?=D1=80=D0=B5=D0=BC=D1=8F=20=D0=BF=D1=80=D0=BE=D0=B2=D0=B5=D1=80?= =?UTF-8?q?=D0=B8=D1=82=D1=8C=20=D1=80=D0=B0=D0=B1=D0=BE=D1=82=D0=BE=D1=81?= =?UTF-8?q?=D0=BF=D0=BE=D1=81=D0=BE=D0=B1=D0=BD=D0=BE=D1=81=D1=82=D1=8C=20?= =?UTF-8?q?=D0=B2=D1=81=D0=B5=D0=B3=D0=BE=20=D1=8D=D1=82=D0=BE=D0=B3=D0=BE?= MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit --- lab_7/lab_7.ipynb | 156 ++++++++++++++++++++++++++++++++++++++-------- 1 file changed, 130 insertions(+), 26 deletions(-) diff --git a/lab_7/lab_7.ipynb b/lab_7/lab_7.ipynb index a982a2a..e4d5e8c 100644 --- a/lab_7/lab_7.ipynb +++ b/lab_7/lab_7.ipynb @@ -19,7 +19,7 @@ }, { "cell_type": "code", - "execution_count": 2, + "execution_count": 14, "metadata": {}, "outputs": [], "source": [ @@ -44,7 +44,7 @@ }, { "cell_type": "code", - "execution_count": 3, + "execution_count": 15, "metadata": {}, "outputs": [], "source": [ @@ -73,7 +73,7 @@ }, { "cell_type": "code", - "execution_count": 9, + "execution_count": 19, "metadata": {}, "outputs": [ { @@ -105,6 +105,36 @@ }, "metadata": {}, "output_type": "display_data" + }, + { + "data": { + "image/png": "iVBORw0KGgoAAAANSUhEUgAAAkIAAAGyCAYAAAAI3auEAAAAOnRFWHRTb2Z0d2FyZQBNYXRwbG90bGliIHZlcnNpb24zLjEwLjAsIGh0dHBzOi8vbWF0cGxvdGxpYi5vcmcvlHJYcgAAAAlwSFlzAAAPYQAAD2EBqD+naQAAZtVJREFUeJzt3QV8lfX7//EXbGyju7ubbaSUGChKg7RKi6iEIKKIgF8QUQSkJUTAIEd3Iy0So7u7O9b/x+feD/6AIDC23Sfez8fjwM69E9d2b+dcuz5xxYmIiIhARERExA3FtTsAEREREbsoERIRERG3pURIRERE3JYSIREREXFbSoRERETEbSkREhEREbelREhERETclhIhERERcVtKhERERMRtuV0iZDbSvn79uvW/iIiIuDdbE6FVq1ZRrVo1MmTIQJw4cZg5c+ZT77Ny5UqKFi2Kt7c3uXLlYty4cc/1nDdu3CBp0qTW/yIiIuLebE2Ebt26ha+vL8OGDXum2x85coQqVarw6quvEhgYyKeffkrLli1ZtGhRjMcqIiIirieOozRdNRWhGTNmULNmzSfe5osvvmDevHns3Lnz/rEGDRpw9epVFi5c+EzPY4bFTEXo2rVrJEmSJFpiFxEREefkVHOE1q9fT8WKFR86VqlSJev4kwQFBVnJz4MXY8fJqzEer4iIiESDsFBY3hvcPRE6e/YsadOmfeiYuW6Smzt37jz2Pn369LEqQPcumTNnto6/P2Yjo1cdJjzcIQpiIiIi8jjXTsH4arC6P7h7IhQVXbp0sYbB7l1OnDhhHW9UKgu95++hxfh/uHwr2O4wRURE5FH7FsCIsnD1ODSdB+6eCKVLl45z5849dMxcN3N94seP/9j7mNVl5vMPXozOb+Xj16bFCTxxlbcHrWLD4Uux8jWIiIjIU4QGwcIuMLEBZCkNrVdD1tLg7olQ6dKlWbZs2UPHlixZYh2PitfypWV++/JkTZmQRqM3MHDpfsI0VCYiImKfS4dgzJvwzy/w1g/QYAIkSBFjT2drInTz5k1rGby53Fsebz4+fvz4/WGtxo0b379969atOXz4MJ07d2bv3r0MHz6cKVOm0KFDhyjHkD5pfCZ+8BJtX8vNoGUHePeXDZy7fjcavjoRERF5LjsCYGQFCLoOLZbAS63NsnJcdvm82RzR7An0qCZNmlgbJTZt2pSjR49at3vwPibx2b17N5kyZaJbt27W7Z7Vfy2fX3/oEu0nbSU0PIL+9Xx5NW+aF/wKRURE5KmCb8OCzrD1dyhcF6r+BN6Jcat9hGLL0/YRunQziM+mbmPlvgt8UD47n1fKh5enU40gioiIOI9zuyGgWeSE6Mo/gt+7MV4FepASoccwS+p/WXOYvgv3UTBjUoY08CdLygSxHquIiIjLioiALeNhwReQIgfUHQep88Z6GCp1PEbcuHFo9XJOprYubVWIqgxezbztZ+wOS0RExDXcvQYBzWFOe/BtCB8styUJMlQReoprd0L4avoO5u04Y+091L1qAXziecRKrCIiIi7n1ObIJOj2Zag+GArWsjUcJULPwHyLJmw8Ts85u8meKiFDG/mTK03sTOISERFxCRERsH4YLP0G0hWGOr9Ciux2R6WhsWdtCPtuqazMalOWkLBwqg1Zy5R/TlgJkoiIiDzFrUswoT4s7hq5JL75IodIggxVhJ7T7eBQeszaxdTNJ6nhl4HetQqTyNszRmIVERFxekfXwrSWEBYENUdAnjdxJEqEomjm1lN0nbGD1Im9GdqoKIUyJo3WOEVERJxaeBis6gd/fQ9Zy0LtUZAkA45GQ2NRVNM/I3PblSehtye1h69j7NojGioTERExrp+B32pEJkEVvoDGsxwyCTJUEXpBQaFh9Jm/l3HrjvJGgbT8WKcIyRJ4RUusIiIiTufAEpjxIXh4wTu/QLZyODIlQtFk8a6zfB6wnYReHgxq6E+JbDHXIE5ERMThhAbD8p6wbgjkfhNq/gwJU+HolAhFo1NX79B+4la2nrhKh4q5+eiVXHjEjb1twkVERGxx5Wjk3kBntkPFb+Clj83uxDgDJULRLDQsnJ+W7mf4ykOUyZmSn+r7kSaxT7Q/j4iIiEPYNRNmt4P4yaDuWMhYDGeiRCiGrDlwkU8nB5odpBhQz4+X86SOsecSERGJdSF3YNFXsOnXyN2hqw0CH+dbQa1EKAZduBFExymBrD5wkY9eyUnHN/IQz8M5SoUiIiJPdGEfTG0Glw/BW99Dsaax2jE+OikRimGmk/2IVYfov3g/vpmSMrihP5mSq5O9iIg4oYgICPwT5n8OSTNHDoWlLYgzUyIUSzYfu0y7iYHcuBtC3zq+vFUoXaw9t4iIyAsLugFzO8KOKeD/Prz9A3glxNkpEYpFV28H0zlgO4t3n6Nx6ax8VTm/OtmLiIjjO7Mtcijs5rnIuUCF6+AqlAjFMvPt/m39MXrP20OuNImsTvY5UieK9ThERESeyqQIG0fB4q8hTX6oMxZS5sSVaOauDZ3sm5TJxvSPy3AnJIyqQ9YwfctJu8MSERF52O3LMOldWNAZireAFktcLgkyVBGy0c2gULrP3Mn0rad4p2gmetYoaPUuExERsdXxDRDQAkJuQY3hkK8yrkqJkAMI2HySbjN3kj6ZD8MaFSV/eseIS0RE3Ex4OKwZACu+g8wlI3uFJc2EK9PQmAOoUywTc9qWw8sjLjWGreX3DcfUyV5ERGLXjXPwRy1Y/i2U7whN5rp8EmSoIuRA7oaE8e283fyx4ThvF0rH9+8UIWn8eHaHJSIiru7QcpjeCuLEhdqjIMcruAslQg5owY4zdJ623UqChjT0xz9LcrtDEhERVxQWEjkMtuYnyPkq1BoJidLgTjQ05oDeLpye+e3KkyqRN3VHrGfkX4esHapFRESizdXjMK4KrB0EFXvAu9PcLgkyVBFyYCFh4fRbvI+Rfx2mQp7U9K/nayVHIiIiL2TPXJj1MXgnhTpjIidGuyklQk5g5b7zfDZlGx5x4zCwvh9lcqWyOyQREXFGIXdhSbfITRLzV4PqQyC+e0+/UCLkJM5dv8unkwLZcOQSbV/NRbvXc+OpTvYiIvKsLh6EgKZwYT9U6g0lWjptx/jopETIiYSFRzBsxUEGLt1P8awpGNTQj/RJ49sdloiIOLptk2FuB0iSPrJNRvoidkfkMJQIOaGNR0wn+60EhYbRr64vr+dPa3dIIiLiiIJuwvzPYdsE8G0IlfuBt/pbPkiJkJO6ciuYTlO3sWzveZqXzc6Xb+fDy1NDZSIi8n/O7oSpTeH6aajSH/wa2h2RQ1Ii5MTMqft17VG+X7CHfOmSWJ3ss6ZMaHdYIiJiJ/O2vmkMLPwKUuWBumMhVW67o3JYKiE4eSf7FuWyM+2jMly/G0KVwWuYve203WGJiIhd7lyFKY1h3mdQtDG0XKok6ClUEXIRN+6G8NWMnczZdpoGJTLTo1pB4nt52B2WiIjElpObIKAZ3L0G1YdCgep2R+QUlAi5EHMqJ/9zgm/m7CJLigQMbVSUPGkT2x2WiIjEdMf49UNgWU/I4A/vjIHkWe2OymloaMzFhsoalMzC7DblrOvVh65h4sbj6mQvIuKqbl6ACXVhSXco3QaaLVAS9JxUEXJRd4LD6Dl3FxM3nqBqkfT0qV2YxD7qZC8i4jIO/xXZMT48FGqPhFwV7Y7IKSkRcnFmzlCX6TtIkdDLWlVWJFMyu0MSEZEXERYKf/0Aq36E7C9D7VGQOJ3dUTktDY25uGq+GZjXrhzJEsTjnZ/X8cvqwxoqExFxVtdOwfhqsLofvNYV3p+hJOgFqSLkJoJDw/lh4V7GrDnC6/nS8GNdX6tKJCIiTmLfQpj5EcSLHzkhOmtpuyNyCUqE3MyyPeesHam9PT0Y1MCPUjlS2h2SiIj8l9BgWNoDNgyHvJWhxjBIkMLuqFyGEiE3dObaHdpPCmTT0cu0fz0PbV7LhUdcdSAWEXE4lw/D1GZwbhe82QtKtVbH+GimRMhNhYaFM3j5QYYsP8BL2VMysIEfaZP42B2WiIjcsyMA5nwKiVJDnV8j9wiSaKdEyM2tO3SRTycFEhYeQf96vrySN43dIYmIuLfg27DwC9jyGxSuC1UGgI/er2KKEiHh4s0gPpuyjb/2X+DDl3PQqVJe4nloQaGISKw7vydyKOzKUaj8I/i/p6GwGKZESCzh4RH8suYwfRfuo1DGpAxp6E/mFAnsDktExD2Yt2JTAVrwBaTIDnXGQpp8dkflFvRnv1jixo1Dq5dzMrV1aatCVHnwaubvOGN3WCIiru/udZjWAua0A9/68MFyJUGxSBUh+Zdrd0LoMn0783ec5d1SWehWtQA+8dTJXkQk2p3aAgHN4fYlqDYICtW2OyK3o0RIHsv8WPz593F6zt1NjlQJrU72udIksjssERHXYN56N/wc2Sw1XaHIoTAzJCaxTkNj8sRO9u+9lJVZn5QlJCycakPWMHXTCbXnEBF5Ubcvw8QGsKgLlPoQmi9WEmQjVYTkqW4Hh9J91i4CNp+kln9GetUsRCJvT7vDEhFxPsfWQUALCL0LtUZAnkp2R+T2lAjJM5ux9SRfz9hJmiQ+1qoys7pMRESeQXgYrO4PK/tAltJQezQkzWh3VKKhMXketfwzMadtORJ4eVB7+DrGrT2ioTIRkae5cRZ+rwkrvoOXO0OTOUqCHIgqQvLcgkLD6DN/L+PWHeXNAmnpW6cIyRKok72IyL8cWAozPoS4nvDOL5C9vN0RySOUCEmULdp1ls4B2635QoMb+lEsq7ohi4hYwkJgeS9YOwhyvRE5HyhhKrujksdQIiQv5NTVO7SbuJXAE1fp+EYePqqQ09qcUUTEbV05Frk30JlAeL0HlG5jdq21Oyp5AiVC8sLM8vqfluzn578OUS5XKgbU8yN1Ym+7wxIRiX27Z8GsthA/aeTeQJmK2x2RPIUSIYk2qw9coMPkQPNjxU/1fSmfO7XdIYmIxI6Qu7DoK9g0BgrUjNwlOn4yu6OSZ6BESKLV+Rt36Th5G2sPXbSGycxwmac62YuIK7uwHwKawaWD8FYfKNZMHeOdiBIhiZFO9maYbMCS/fhlTsbghv5kTBbf7rBERKJf4ASY9xkkzQR1x0HagnZHJM9JiZDEmE1HL1sTqW8Fh1lL7CsVTGd3SCIi0SPoBszrBNsngd97ULkveCW0OyqJAiVCEqOu3g7m84DtLNl9jqZlstGlcj68PdXJXkSc2JntMLUp3DwHVX+CIvXsjkhegO2TN4YNG0a2bNnw8fGhVKlSbNy48T9vP3DgQPLmzUv8+PHJnDkzHTp04O7du7EWrzwfs9HiqPeL8U21Akz4+7i1I/XhCzftDktE5PmZusHfo+CX1yOrPx+uUhLkAmxNhCZPnkzHjh3p0aMHW7ZswdfXl0qVKnH+/PnH3n7ChAl8+eWX1u337NnDmDFjrMf46quvYj12eb5O9k3LZmf6x2W4FRRqdbI3fctERJzGnSsw+T1Y8DkUbw4tl0LKnHZHJc4+NGYqQCVKlGDo0KHW9fDwcKvK07ZtWyvheVSbNm2sBGjZsmX3j3322Wf8/fffrFmz5pmeU0Nj9roZFMrXM3YwM/A0dYplomeNgiTwUid7EXFgx/+GaS0i5wXVHA75qtgdkbhCRSg4OJjNmzdTsWLF/x9M3LjW9fXr1z/2PmXKlLHuc2/47PDhw8yfP5/KlSs/8XmCgoKs5OfBi9jHtOP4qb6fNXl63vYzVnVozxmdExFxQOHhsHoAjH0bkmSE1muUBLkg2xKhixcvEhYWRtq0aR86bq6fPXv2sfdp1KgRPXv2pFy5csSLF4+cOXPyyiuv/OfQWJ8+fawK0L2LqTiJ/UNl9YpnZk7bssTziEuNYWv5Y8MxdbIXEcdx8zz8URuW9YRyn0LTeZBM7x+uyPbJ0s9j5cqVfPfddwwfPtyaUzR9+nTmzZtHr169nnifLl26WMNg9y4nTpyI1ZjlyXKlSczMT8pSt1gmvp65k08mbOHanRC7wxIRd3doBfxcFs7tgvdnwOvdwUND+K7KtjObKlUqPDw8OHfu3EPHzfV06R6/30y3bt14//33admypXW9cOHC3Lp1i1atWtG1a1draO1R3t7e1kUck088D3rXKkyZnKn4ctp2qgxezZCG/vhnSW53aCLibsJCYeV3kcNhOV6B2qMgURq7oxJXrQh5eXlRrFixhyY+m8nS5nrp0qUfe5/bt2//K9kxyZShYRXnVqVIeua3L0/KRN7UHbGekX8dsnaoFhGJFVdPwLgqsGZgZAXovelKgtyErbU+s3S+SZMmFC9enJIlS1p7BJkKT7NmzazPN27cmIwZM1rzfIxq1aoxYMAA/P39rRVnBw8etKpE5vi9hEicV+YUCZj6YWn6Ld5HnwV7WX/4Ev3r+lrJkYhIjNk7D2Z+DN6JodkCyFLK7ojEXRKh+vXrc+HCBbp3725NkPbz82PhwoX3J1AfP378oQrQ119/bU20Nf+fOnWK1KlTW0lQ7969bfwqJDp5ecblq8r5KZ0zJZ9N2cbbg1YzsIGfNXQmIhKtQoNgcTfYOBLyVYXqQyBBCrujklimFhvisM5dv0v7SVv5+8hl2r6Wm3av5VInexGJHpcORbbJuLAX3uwNJT9Qx3g3pURIHFpYeARDlx9k0LL9FM+WgkEN/EifVJ3sReQFbJ8CcztAorRQdyyk97U7IrGREiFxChsOX7KqQ8Gh4fSr68vr+R/ef0pE5KmCb8H8zhD4BxRpAFX6Rc4LEremREicxuVbwXSauo3le8/Tolx2vngrnzWnSETkqcyeQFObwbUTUKU/+DWyOyJxEEqExKmYH9cxa47ww8K95E+fxNpzKGvKhHaHJSKOyrzFbR4LC7tAylxQZyykzmN3VOJA9Oe0OBWzarBl+RwEtC7D1dshVBm8hjnbTtsdlog4ojtXIydEm/lAfu9GdoxXEiSPUEVInNb1uyF8NX0Hc7efoWHJzHSvWpD4XtpPSkSAk5shoCncuQY1hkCBGnZHJA5KiZA4NfPjO+mfE3wzexdZUyZgaKOi5EmryY8ibt0xfv1QWPY/SO8HdX6F5FntjkocmIbGxOmHyhqWzMLsNuWsqQDVh65h0sbjarki4o5uXYQJ9WBJNyj9CTRfqCRInkoVIXEZd4LDrMrQ5E0nqOabge9qFSKxTzy7wxKR2HBkNUz/AMJCoNZIyF3R7ojESSgREpczK/AUXWfsJGUiL4Y2LErhTEntDklEYkp4GPz1A/zVF7KVg9qjIUl6u6MSJ6KhMXE5NfwyMrdtOZL4xKP2z2ut5fZulu+LuIfrp2F8NVj1I7z6FTSepSRInpsqQuKygkLD+GHBPn5de4SK+dPwYx1fkif0sjssEYkO+xfBjNbg6QN1xkDWMnZHJE5KiZC4vKW7z9EpYBvx43kwqIE/JbOru7SI0woNjlwRZlaG5XkLav6sjvHyQpQIiVs4ffWO1ats87ErdKiYh49fzYVHXHWaFnEql49AQHM4uwPe6AkvfaSO8fLClAiJ2wgNC2fQsgMMXXGQ0jlSMrC+H2mS+Ngdlog8i53TYM6nkCBl5N5AGYvaHZG4CCVC4nbWHbxI+8mBhIdHMKC+HxXypLY7JBF5kuDbsPBL2DIeCr0DVQeCj167JfooERK3dPFmEB2nbGPV/gt8WCEHnd7MSzwPLaIUcSjn90b2CrtyFN7+AYo21lCYRDslQuK2TEVo1OrD9Fu0z9praHADfzKnSGB3WCJi3pa2/g7zO0PybFB3LKTJb3dU4qKUCInb23L8Cm0nbOXG3RD61inCW4W0D4mIbe5ej+wWvzMAijaBt74HL/2BIjFHiZAIcO12CF9M287CXWd5/6WsdK2SH5946mQvEqtOb4WpzSJ7hlUfFDknSCSGKRES+T/mV+GPv4/Ta+5ucqZOxNBG/tb/IhLDzNvQhp9hSXdIVyhyVViKHHZHJW5Cs0NFHuhkb6pBMz8ua+1KXW3IGgI2n7Q7LBHXdvsyTGwIi7pAyVbQfLGSIIlVqgiJPMatoFC6z9rFtC0nqe2fkV41C5HQ29PusERcy7F1MK0lhNyJ3CE671t2RyRuSImQyH+YvuUkX8/cSbokPgxp5E/BDOpkLxItHeNXD4CV30GW0pEd45NmtDsqcVMaGhP5D7WLZmJO23J4x/Og1vB1/Lb+qDrZi7yIG2fh95qwoje8/Dk0nq0kSGylipDIM7gbEkaf+XsYv/4YlQqmpe87viRNEM/usEScy8GlMP1DiOsJ74yG7C/bHZGIEiGR57Fw51k6B2wjsU88Bjf0p1jW5HaHJOL4wkJgeS9YOwhyVYSaIyCRWtuIY1AiJPKcTl65TbuJW9l28hqfvZmH1i/nJK462Ys83pVjMK1F5B5Br/eA0m0grmZliONQIiQSBSFh4QxYsp+fVx6ifO5UDKjnR+rE3naHJeJYds+G2W3AJynUGQuZitsdkci/KBESeQGmaWvHKYHWHkQD6/tRNlcqu0MSsV/IXVjcFf75BQrUgGqDIX4yu6MSeSwlQiIv6PyNu3SYHMi6Q5f45JVcfFoxN57qZC/u6uKByDYZF/fDW32geHN1jBeHpkRIJBqEhUcw4q9D1nCZf+Zk1kTqDMni2x2WSOwKnADzOkUuhzdDYaZdhoiDUyIkEo3+OXqZ9hO3cis4jH51fXmjQFq7QxKJeUE3Yd5nsH0S+L0LlX8Er4R2RyXyTJQIiUSzq7eD6TR1O0v3nKNpmWx0qZwPb091shcXdWY7BDSL3CixygDwrW93RCLPRYmQSAwwv1bj1h2lz/y95EmXiCENi5I9lf5CFhdi3jrMZOhFXSF13sihsFS57I5K5LlpRqdIDDCryJqVzc70j8tw824oVQevZlbgKbvDEoked67A5Pdgfico1hRaLlUSJE5LFSGRGHYzKJSuM3YwK/A09Ypn4pvqBUngpU724qRObISA5hB0HWoMh/xV7Y5I5IUoERKJBebXbOrmk/SYtYuMyeMztJE/+dLp50+cSHg4rB0Iy7+N3BjxnV8gWRa7oxJ5YRoaE4mlobJ6xTMzp21ZPOLEocbQtfz59zF1shfncPM8/PkOLOsJZdtD03lKgsRlqCIkYkMn+55zdzPh7+NUKZyePu8UJomPOtmLgzq8Eqa3gohwqD0Kcr5md0Qi0UqJkIhN5m0/w5fTtpMsYTxrVZlfZrUgEAcSFgor+8Dq/pCjAtQaBYm1L5a4Hg2NidikSpH0zGtXnhQJvKjz8zpGrzpMeLhb/V0ijuraSRhXBdb8BK99De/NUBIkLksVIRGbBYeG02/xPkatOsyreVNbO1KnTKRO9mKTvfNh5kfglQjqjIEsL9kdkUiMUiIk4iBW7D3PZ1O3Ec/DdLL3p3TOlHaHJO4kNAiWdIe/R0DeKlBjKCRIYXdUIjFOiZCIAzl77S6fTt7KxiOXaftabtq9nhuPuOrcLTHs0qHINhnn98Cb30LJVuoYL25DiZCIA3ayH7L8AIOXHaBEthQMauBPuqQ+doclrmr7VJj7KSRKE9kmI4Of3RGJxColQiIOasPhS7SftJWQsAj61/Xl1Xxp7A5JXEnwLVjQGbb+AYXrQdUB4J3Y7qhEYp0SIREHdulmEJ2mbmPFvgt8UD47n1fKh5enFnvKCzq3C6Y2g2snoPKP4PeuhsLEbSkREnFwZkn9r2uP8MPCvRRIn8TacyhLygR2hyXOyLzcbx4LC7tAipxQd2xk53gRN6Y/LUUcXNy4cWhZPgcBrctw+XYwVQavZu7203aHJc7m7jWY2hTmdgC/RvDBMiVBIqoIqSIkzuX63RC6TN9h7UrdsGQWelQrgE88D7vDEkd3cnPkqrA7V6D6YChYy+6IRByGEiERJ2N+ZSduPMH/5uwiW8qEVif73Gk1yVWe0DF+wzBY+g2k94U6v0LybHZHJeJQNDQm4oSd7BuVysKsNmUJi4ig2tA1TPnnhDrZy8NuXYSJ9WHx1/DSR9BsoZIgkcdQRUjEid0ODuV/s3czedMJavhl4NuahUisTvZyZDVM/wDCgqHWSMj9ht0RiTgsJUIiLmBW4Cm+mr6D1Im9rVVlhTMltTsksUN4GPzVF1b1haxlofZoSJLe7qhEHJqGxkRcQA2/jFYn+0Q+ntT+eS2/rjmioTJ3c/00jK8emQRV+BIaz1ISJPIMVBEScSFBoWF8v2AvY9cepWL+tPxYpwjJE3rZHZbEtP2LYWZr8PCCd36BbOXsjkjEaSgREnFBS3af4/OAbcSP58Hghv5WzzJxQaHBsOx/sH4o5K4ENX+GhCntjkrEqSgREnFRp6/esXqVbTl+lQ4Vc/PRK7nUyd6VXD4C01rAme1Q8Rso/YnaZIhEgRIhERcWGhbOoGUHGLriIGVypuSnen6kSaJO9k5v1wyY3Q4SpIjcGyhjMbsjEnFaSoRE3MCaAxf5dHKg2Y6R/vX8qJAntd0hSVSE3InsE2b6hRWsDdUGgo9WCIq8CCVCIm7iwo0gOk4JZPWBi7SukJPP3sxDPA8tHHUaF/ZFdoy/fAje/gGKNtFQmEg0sP1VcNiwYWTLlg0fHx9KlSrFxo0b//P2V69e5ZNPPiF9+vR4e3uTJ08e5s+fH2vxijgrs8fQ+GYl+eKtfIxefZj6I9dz8sptu8OSpzF/q275HUa9AhFh8MEKKNZUSZCI3YnQsmXLqFq1Kjlz5rQu5uOlS5c+12NMnjyZjh070qNHD7Zs2YKvry+VKlXi/Pnzj719cHAwb7zxBkePHiUgIIB9+/YxevRoMmbMGNUvQ8TtOtl/9EpOpnxYmnPXg6g8aDULd56xOyx5kqAbkTtEz24Dhd6JTILSFrA7KhGXEqWhseHDh9O+fXvq1KlD6dKlrWMbNmywkpOffvrJqtg8C1MBKlGiBEOHDrWuh4eHkzlzZtq2bcuXX375r9uPGDGCH3/8kb179xIvXtTaCGhoTCTStdshdJ62jUW7ztG4dFa+qpxfnewdyenAyI7xNy9EzgUqXMfuiERcUpQSoUyZMlmJSps2bf41zPXdd99x6tSppz6Gqe4kSJDASp5q1qx5/3iTJk2s4a9Zs2b96z6VK1cmRYoU1v3M51OnTk2jRo344osv8PB4/At4UFCQdXkwETLJlhIhkchO9r9vOMa3c/eQM00iq5N9ztSJ7A7LvZmX5L9HwpJukKZA5KqwlDntjkrEZUVpaMwkKm+99da/jr/55ptWgvEsLl68SFhYGGnTpn3ouLl+9uzZx97n8OHDVuJk7mfmBXXr1o3+/fvz7bffPvF5+vTpY1WA7l1MEiQi/7+TfePS2ZjxSRmCQsKoNmQN0zaftDss93X7Mkx6FxZ+ASVaQovFSoJEHDERql69OjNmzPjXcVOlMXOFYooZOkuTJg2jRo2iWLFi1K9fn65du1pDZk/SpUsXKzm7dzlx4kSMxSfirApmSMqctuV4q2A6Ppu6zVpddiso1O6w3Mux9TCiPBxfBw0nwVt9wNPb7qhEXJ5nVO5UoEABevfuzcqVKx+aI7R27Vo+++wzBg8efP+27dq1e+xjpEqVyhrOOnfu3EPHzfV06dI99j5mpZiZG/TgMFj+/PmtCpIZavPy+ndPJbOyzFxE5L8l9PZkQH0/yuZKRbdZOwk8cZWhDYtSIIOGkGO8Y/yaAbCiD2QuGdkrLGkmu6MScRtRmiOUPXv2Z3vwOHGs4az/mixdsmRJhgwZcr/ikyVLFmvu0eMmS3/11VdMmDDBesy4cSOLWYMGDeKHH37g9OnTzxSTJkuLPN2hCzf55M8tHL54i25V8vPeS1mt32eJZjfORa4KO7IKXu4U2TXeI0p/n4qIM26oaJbPm8nRI0eOtBKigQMHMmXKFGtVmJkr1LhxY2tpvJnnY5hhrYIFC1r3MSvLDhw4QPPmza2qkxkiexZKhESezd2QMHrP22NNpjZDZj+8U4SkCaK2WlMe4+AymPEhxIkLtUdDjgp2RyTilmz908PM8blw4QLdu3e3hrf8/PxYuHDh/QnUx48fv1/5McxE50WLFtGhQweKFCliJUlmGb9ZNSYi0csspe9Vs5DVo6zztO1UHryaIY38KZolud2hObewEFjRG9b8BDlfh1ojIZFanog4fEXIbHzYq1cvEiZMaH38XwYMGICjUkVI5PmduHybdpO2suPkNTpVykur8jmszRnlOV09DgEt4PQWeK0blGlndrm0OyoRt/bMFaGtW7cSEhJy/+Mn0TwCEdeTOUUCazfq/ov38/2Cvaw7dIkB9XxJlUgLEZ7Znjkw6xPwTgrNFkLmEnZHJCJ2zxGygypCIi/mr/0X6Dg50KoIDarvR5lcqewOybGF3IXFX8M/oyF/Nag+BOJreFHEUSgREpHndv76XT6dHMj6w5do82ou2r+eG091sv+3iwchoClc2A9vfQfFW6hZqogrJEK3bt3i+++/txqvmgapZtn7g/5rybzdlAiJRI+w8AiGrzjIT0v3UzxrCgY19CN90vh2h+U4tk2CuR0hSQaoOxbSFbY7IhGJrlVjLVu25K+//uL999+3NjnUvCAR9+MRNw5tX89NqRwpaT9pK28PWk2/Or5ULPBw2xy3E3QT5n8O2yaAbyOo/CN4q3+bOzJFAtMSSp6dp6dnrOcUUaoIJUuWjHnz5lG2bFmcjSpCItHvyq1gPg/YxtI952leNjtfvJ0Xb0837GR/dgdMbQbXT0PVAeDbwO6IxAbmbdW8x9y+fdvuUJxOnDhxrIbqJiGKLVF6puTJk1td4EVEjOQJvRjduDhj1x6lz4I9/HP0MkMa+pMtVULcgvl78p9fYFFXSJUHPvwLUuW2Oyqxyb0kyPyxbVo/adTk2RPIK1euWI3dU6ZMGWvftyhVhP744w+rwer48eNJkCABzkQVIZGYZfYaajNxC5duBtO7ViFq+GXEpd25CrPbwp7ZULIVvNEL4vnYHZXYOBxmNgg27y+JEmlI9HnduXPHSobMxsoP9hV1iIqQv7//Q9nZwYMHrUCzZctmNUJ90JYtW6I3ShFxGoUzJWVu23J0nbGT9pMCWXfwEt9UL0h8LxccKjvxDwQ0h6BrUP+PyOXx4tbuzQl6XBNwebp7yY9JKB0uEapZs2bMRiIiLiOxTzwGNTCd7FPSY/Yuthy/wtBGRcmbLjEuwayUXTcYlveCDEWh2TxIlsXuqMSBaDjMeb5v2kdIRGLU/nM3aDNhC8cu3bYqQw1KZHbuN4mbFyKbpR5aBuU6wKtdwUPNaCWS6cBgemiaCb+PjpaIY37/orQDmukCf/LkyfvXN27cyKeffsqoUaOiMzYRcQF50iZm1iflqF00E12m76DtxK1cvxvZrsfpHP4LRpSFs9vhvelQ8RslQeIyXnnlFeu93N1EKRFq1KgRK1assD42k8IqVqxoJUNdu3alZ8+e0R2jiDg5Mz+oT+3C1kqyv/ZdoOrgNWw7cRWnERYKy7+F32pA6nzQei3ket3uqETErkRo586dlCxZ0vp4ypQpFC5cmHXr1vHnn38ybty46IhLRFxQNd8MzGtXnmQJ4lFnxDp+WX3YWjLr0K6dgvHVYPUAeO1reH8GJHbzTSNF3D0RMmN43t6RXaeXLl1K9erVrY/z5cvHmTNnojdCEXEpWVImIKB1GZqUzsa38/bQYvwmLt8KxiHtWxA5FHb1ODSdBy93grguuPpN5BFmCXvjxo2tfQPNNjlvv/02Bw4csD5n/ngxc3gCAgLu397Pz8/qNHHPmjVrrDzBGTaVjFIiVLBgQUaMGMHq1atZsmQJb731lnX89OnT1iZIIiL/xcszLl9XLcCvTYuz9fgVKg9azd+HL+EwQoNgYReY2ACylIbWqyFrabujEok1TZs2ZdOmTcyePZv169dbyU/lypWtQohZ7PDyyy+zcuXK+0nTnj17rD2A9u7dax0zbbhKlCjhFHsNRmln6R9++IFatWrx448/0qRJE3x9fa3j5ht2b8hMRORpXsuXlvnty1v7DTUcvYH2r+ehzWu5rD5mtrl0KHJvoPO74a0foNSH6hgvL+xOcBiHLtyM1efMmTpRlPbvOnDggPV+vnbtWsqUKWMdM1NfMmfOzMyZM6lbt641sXrkyJHW51atWmXtNZguXTorOTKjQ+b/ChUq4AyeOxEyWWGOHDk4fvw4oaGhVtnsnlatWjlF9icijsN0rJ/4wUsMXnaAgcv2s/7wRQY18CdtEht2Z94RAHM+hUSpocUSyOAX+zGISzJJUNUha2L1Oc3GpoUyJn3u++3Zs8fq9VWqVKn7x8xoT968ea3PGSbJad++vbXU3VR/TGJ0LxFq0aKFNW+4c+fOuGwilCtXLnbt2kXu3A/30jG7TIuIPC9TAerwRh5eeqCTff96vryaN03sBBB8GxZ0hq2/Q+G6UPUn8HaRzR/FIZjqjElMYvs5Y0rhwoWtnqMmCTKX3r17W4mQGTH6559/rCG0e9Ukl0uE4saNayVAly5d+lciJCLyIkrnTMmC9uX5bOo2mo39h1Yv56DTm3mtOUUx5txuCGgWOSG6xjDwe1dDYRLtzBBVVKozdsifP7814vP333/fT2bMe/6+ffsoUKCAdd3MEypfvrzVd9QURsqVK2eNCAUFBVlDZsWLFydhQudouhylV5fvv/+ezz//3FpGLyISnVIm8ubXJiX4qnI+fl1zhLoj13PicgysPDHL9jePg9GvQpy40Gol+L+nJEjcXu7cualRowYffPCBtfpr27ZtvPfee2TMmNE6fo8ZDps4caK1Ysw0mDWFEjOJ2swncpb5QVFOhMySOrOBopkkHT9+fKs89uBFRORFxI0bh1Yv52Rq69JcuhlE5cGrmb8jGrfmuHstckL0nPbg2xA+WA6p80bf44s4ubFjx1KsWDGqVq1K6dKlrWkx8+fPf6jthUl2TJNZkxDdYz5+9Jiji1KvsfHjx//n581KMkelXmMizuXanRC+mr6DeTvO8G6pLHSrWgCfeC+wl8+pzZFJ0O3LUH0wFKwVneGKm1OvMef7/qnpqog4PPMyNWHjcXrO2U32VAkZ2sifXGmeczKzealbPwyWfgPpCkOdXyFF9pgKWdyUEiE3abpqHDp0iK+//pqGDRty/vx569iCBQusSVMiItHJTMx8t1RWZrUpS0hYONWGrGXKphPP3p7j1iWYUB8Wd4WXWkPzRUqCRCTqiZBZKmeWzpkZ5dOnT+fmzchNosyEqh49ekTlIUVEnipfuiTMaVuOqkXS0zlgOx0mB3IzKPS/73R0LYwoB6c2QaOp8Oa34OkVWyGLiCsmQl9++SXffvut1V7Dy+v/v6C89tprbNiwITrjExF5SAIvT36s68vA+n4s2X2OakPWsPPUtX/fMDwMVv4A46tCihzQeg3kedOOkEXE1RKhHTt2WC02HpUmTRouXrwYHXGJiPynmv4ZmduuPAm8PKg9fB3j1h75/0Nl18/AbzXgr+/h5c7QZDYkyWB3yCLiKr3GkiVLZnWZz5794TH2rVu3WvsMiIjEBjNxevrHZegzfy/fzNnN2kOX+KnoeRLNbwMeXtB4NmQvb3eYIuJqFaEGDRrwxRdfcPbsWWsSY3h4uNWcrVOnTtYeQyIiscXb04Nvqhdk9LuFKXt4IIkCGnI1RZHIoTAlQSISE4nQd999Z3WXNZ1ozURps+W22U3SbMVtVpKJiMSqK0d5Y0NTmsRdwPhELSl+uCXDNl4lPNytdgcRkdjeR8h0oDdtNkwy5O/v7xS9x7SPkIiL2TUTZreD+MmgzlhC0/vz09L9DF95iLI5UzGgvi9pEtvQyV7ckvYRcqN9hIwsWbLw9ttvU7duXadIgkTEhYTcgbkdYGoTyPkqtF4NmYrh6RGXzyvl4/fmpdh79gaVB61m9YELdkcr4vBeeeUVPv300yd+3kyFmTlz5jM/3sqVK637XL16FUcW5URozJgxFCpUCB8fH+tiPv7ll1+iNzoRkce5sA9Gvw6BE6DqQKg7Dnwe7uxdLncqq5N9/vRJaPzrRvou3GttxigiUXPmzBmr+OFqorRqrHv37gwYMIC2bdtazdiM9evX06FDB2u4rGfPntEdp4hIZJuMwD9h/ueQNHNks9S0BZ9489SJvRnfrCQjVh2i/+L9/H3kMoMa+JEpeYJYDVvEFaRLlw5XFKWK0M8//8zo0aPp06cP1atXty7m41GjRjF8+PDoj1JEJOgGTG8Fsz6BQrWh1Yr/TIIe7GT/8Su5mPLhS5y9dtcaKlu062yshCzibMLDw+ncuTMpUqSwEp9vvvnmiUNj69atw8/PzxoVKl68uPU5c5vAwMCHHnPz5s3W5xMkSGAtqtq3bx9OnwiZyUzmi3pUsWLFCA19ynb3IiLP68w2GFkB9s2H2r9AjWHglfC5HqJY1hTMa1eOl3Kk5MPfN9Nj1k7uhoTFWMgizmj8+PEkTJjQaqHVt29fa4THdJF43MKjatWqWe22tmzZQq9evaxtdR6na9eu9O/fn02bNuHp6Unz5s1x+qGx999/36oKmeGxB5mK0LvvvhtdsYmIuzNDYRtHweKvIU1+eHcqpMwZ5YdLlsCLke8X47f1x+g9bw//HL1idbLPkTpRtIYt8i/Bt+Hi/th9zlR5wOv5hoGLFClyv2eoWQQ1dOhQli1bxhtvvPHQ7SZMmGBVf8zokKkImW10Tp06xQcffPCvx+zduzcVKlS436KrSpUq3L1717qfUyVCHTt2vP+x+eLNxOjFixfz0ksvWcdM9mjmB2lDRRGJFrcvw6w2sG8elGoNb/QET+8Xfljz+tWkTDaKZU1O24lbqTpkDb1rFaKWf6ZoCVvksUwSNCoyGYg1rf6CDH7PnQg9KH369Jw/f55HmeEtc9sHk5mSJUvytMc0j2eYxzQrz50qETLtMx4dBjMOHTpk/Z8qVSrrsmvXruiOUUTczfENENACgm9Cg4mQr3K0P0WhjEmtTvbdZ+6kw+RtrDlwiZ41CpLQO0qFcpGnV2dMYhLbz/mc4j2yd8+97hEv4sHHNI9nvOhjRqdn/o1fsWJFzEYiImJeHNcMgBXfQaYSUGcMJI25Sk0ib08G1PejTK5UdJu5k60nrjCsUVFryb1ItDJDVM9ZnXFkefPm5Y8//iAoKAhv78hK7T///IMzeqENFUVEos2Nc/BHLVj+LZTrAE3nxWgS9KA6xTJZ1SEvj7jUGLaW3zcc+/+d7EXkXxo1amRVdVq1asWePXtYtGgR/fr1e6jq4yyiVAM2k5yGDBliVYnMON+jJS4zg1xE5JkdWh65NJ448P6MyJ2iY1muNImY+UlZvp2326oOrTt4ke/fKULS+GqTIPIo06Jqzpw5fPTRR9YSerN6zOwxaBIkR5kEHaO9xszKMDNRuk6dOqRNm/Zf2d+9GeeOSL3GRBxIWEjkMNianyKTn1ojIVEau6NiwY4zdJ623UqChjT0xz9LcrtDEifhzr3G/vzzT5o1a2a9v8aPH99pvn9RqgjNnTuX+fPnU7Zs2eiPSETcw9XjMK0lnNwEFXtAmfZm90McwduF01uTqc2qsroj1vN5pbx8UD6HtTmjiET67bffyJEjBxkzZmTbtm3WPkL16tWLchJklyglQuaLTpw4cfRHIyLuYc9cmPUxeCeB5gsh8+OX3dopc4oETG1dmn6L99FnwV7WHbpE/3q+pEr04kv4RVzB2bNnreEw879ZFm8asJs9g5xNlIbGFixYwODBgxkxYgRZs2bFmWhoTMRGIXdhSbfITRLzVYUaQyG+4w87rdx3ns+mbMMjbhwG/t8qM5HHceehMWf9/kWpDm3aa5gJ06YkZipDpifJgxcRkX+5eBDGVITN46ByP6j/h1MkQcYredMwv315cqZOxLtj/mbA4n2EqpO9iEuI0tBYw4YNra20v/vuu8dOlhYReci2yTC3AyRJDy2XQfqHd691BmmT+PBHy1IMW3GQgUv3s+HwZQY19CN9UueaDyGxQ9svOM/3LUpDY6aD7Pr16/H19cXZaGhMJBYF3YT5n8O2CVCkAVTpD97O39dr45HLtJu4laDQMPrV9eX1/GntDkkchNlOxsyZMe8viRI5/896bLtz5w5XrlyxiiweHh6OWxHKly+fFayIyBOd3QlTm8L101BzBPg1xFWUzJ6CBe3L02nqNlqM30Tzstn58u18eHk6xqo3sU/cuHGtYoH5o9vw8vLSqMkzMnUZ830z3zPzfXToipDZQ+h///ufNTvcbKL06IQmR660qCIkEsPMS8qmMbDwK0iVG+qOi/zfBZmXz1/XHuX7BXvIly6J1ck+a8qEdoclDvBzYd5jbt++bXcoTidOnDjWRGlPT0/HToTuZWqPZrnmocyxsLAwHJUSIZEYdOcqzG4Le2ZDiZbwZm+I51y7zEbF9pNXrT2HLt0M5rvahanum8HukMRBhskc+f3QEXl6esZ6BS1KKZcasIrIv5iNEQOawZ1rUO83KFADd1EkUzLmti3HVzN2WnOHTHuOHtUKEt8rduY4iGMyRYPYHOKRWKwIOTNVhESimek1uH4ILOsJGfzhnTGQ3Ln2F4su5uV08j8n+GbOLrKkSMDQRkXJk1abz4o4siinqqtXr+a9996jTJky1lJ64/fff2fNmjXRGZ+IOLKbF2BCXVjSHUq3gWYL3DYJMkxJv0HJLMxuU866Xn3oGiZuPK6l1CKulghNmzaNSpUqWf1ETKf5oKAg67ipspi9hUTEDRz+C0aUg9OB8N40eON/4KGddA1TBZr1STlq+Weky/Qd1vyhG3dD7A5LRKIrEfr222+t9hqjR49+aMWYacJqEiMRcWFhobC8N/xWA1LngY/WQq6KdkflcMz8oD61i1jd61fuu0CVwWusSdUi4gKJ0L59+3j55Zf/ddzMvbl6Vb/oIi7r2ikYXw1W94NXu8L7MyFxOrujcmjVfDMwr105kiWIxzs/r+OX1Yc1VCbi7IlQunTpOHjw4L+Om/lBpv+YiLigfQsjh8KuHoOm86DC5xBXq6KehdlbKKB1GRqXzsa38/bQcvwmLt8KtjssEYlqIvTBBx/Qvn17/v77b2ty4OnTp/nzzz/p1KkTH330UfRHKSL2CQ2GhV1gYn3IXApar4GsZeyOyumYXae7VS3AmCbF2XL8CpUHrebvw5fsDkvE7UVp+by5i5kU3adPn/s7Z3p7e1uJUK9evXBkWj4v8hwuH4apzeDcLnizF5RqbZZG2R2V0ztz7Q7tJway6dhl2r+ehzav5cIjrr6vIk63j1BwcLA1RHbz5k0KFCjgFA3mlAiJPKMdATDnU0iYCuqOjdwjSKJNaFg4g5cdYMiKg7yUPSWDGviRJonr78It4tSJUPPmzZ/pdr/++utzBTFs2DB+/PFHq2Ov6Wg/ZMgQSpYs+dT7TZo0iYYNG1KjRg1mzpz5TM+lREjkKYJvw8IvYMtvUKgOVP0JfPS7ElPMLtTtJwcSHh5B/3q+vJI3jd0hibiV50qEzFbhWbNmxd/f/z9XPcyYMeOZA5g8eTKNGze2luOXKlWKgQMHMnXqVGtlWpo0T35BOHr0KOXKlbMmZ6dIkUKJkEh0OL8ncijsylGo3Bf839dQWCy4eDOIjlO2sWr/BT6skINOb+YlnodaM4g4XCL0ySefMHHiRCsZatasmbWztElCXoRJfkqUKMHQoUPvN6nLnDkzbdu25csvv3zsfUwTO7N831SozA7XZsn+kxIhs9njvQ0f7yVC5vGVCIk8wLwMbBkPC76E5Nkih8LS5Lc7KrdiKkKjVx/mx0X7KJQxqbX/UOYUCewOS8TlxX3eIawzZ87QuXNn5syZYyUU9erVY9GiRVHaF8PMMdq8eTMVK1Z8qOpkrq9fv/6J9+vZs6dVLWrRosVTn8NM6DYVoHsXE7OIPODudQhoDnPag299+GC5kiAbxI0bhw8r5GRK69JWhajy4NUs2HHG7rBEXN5z117N6jAzL2fJkiXs3r2bggUL8vHHH5MtWzZr0vTzuHjxolXdSZs27UPHzXUzX+hxzF5FY8aMsXa1fhZdunSxqj/3LidOnHiuGEVc2qktMLI8HFwKdX6FaoPAS1UIOxXNkpx57cpTLlcqPvpzC1/P3MHdkDC7wxJxWZ4vcmdTvTH7CJlqkEloYtqNGzd4//33rSQoVapUz5y4mYuIPMBUcDcMhyU9IF2hyB2iU2S3Oyr5P0njx2P4u0X54+/j9Jq7m01Hr1id7HOlcfyVuSIuXxEy823MPKE33niDPHnysGPHDmt+z/Hjx597+bxJZjw8PDh37txDx811s3v1ow4dOmRNkq5WrRqenp7W5bfffmP27NnWx+bzIvIUty/DxAaw6Cso9SE0X6wkyAGZPzLffykrMz8uS3BYONWGrCFg80m7wxJx74qQGQIzS9bNPBszUdkkRM9amXkcLy8vihUrxrJly6hZs+b9ydLmeps2bf51+3z58lmJ14O+/vprq1I0aNAgzf8ReZpj6yCgBYTehUZTIE8luyOSpyiQIQlz25aj+6xddJq6zVpu37NmIRJ5v1BBX0Siunw+S5Ys1vJ589fKk0yfPv25ls83adKEkSNHWnsHmeXzU6ZMYe/evdZcIbO0PmPGjNak58dp2rTpf64ae5SWz4tbCg+D1f1hZR/IUhpqj4akGe2OSp7TjK0n6TpjJ2mT+DC0kT8FMyS1OyQRp/dcf1KYpOS/EqCoqF+/PhcuXKB79+7WBGk/Pz8WLlx4fwK1GXIzCZiIRNGNszD9AziyGip8ARU6q1mqk6rlnwnfTMloM2ErtYato2uV/DQunTXaX5dF3MkLtdhwRqoIiVs5sBRmfAhxPeGdXyB7ebsjkmhgVpH1mb+H8euPUalgWvq+40vSBPHsDkvEKSkREnFFYSGwvBesHQS53oBaIyJ7holLWbjzLJ0DtpHYJx6DG/pRLOuLbXAr4o6UCIm4mivHIjdIPBMIr/eA0m3MBD+7o5IYcvLKbdpPCiTwxFU+ezMPrV/OaW3OKCLPRomQiCvZPQtmtYX4SaHOWMhU3O6IJBaEhIXz05L9/PzXIWsjxgH1/EidWPuniTwLJUIiriDkbuS+QJvGQIGakTtEx09md1QSy1YfuECHyYHmpZ2B9f0ol1vDoSJPo0RIxNld2A8BzeDSQXirDxRrpo7xbuz8jbt0nLyNtYcu8vErOelQMQ+e6mQv8kRKhEScWeAEmPcZJM0EdcdB2oJ2RyQO0sneDJMNWLIf/8zJGNTQn4zJ4tsdlohDUiIk4oyCbsC8TrB9Evi9B5X7gldCu6MSB7Pp6GXaTdzKreAwfqxThDcL/rt1kYi7UyIk4mzObIepTeHmOaj6ExSpZ3dE4sCu3g7m84DtLNl9jqZlstGlcj68PbWhpsg9SoREnIX5Vd04GhZ3hdT5IofCUua0OypxAuZlfvy6o3w3fy+50yayOtlnT6UKooihGXQizuDOFZj8Hiz4HIo3h5ZLlQTJMzMtOJqWzc70j8twKyiUqoNXM3PrKbvDEnEIqgiJOLrjf8O0FpHzgmoOh3xV7I5InNjNoFC+nrGDmYGnqVssE/+rUZAEXupkL+5LiZCIowoPh7UDYfm3kKlEZK+wZJntjkpcgHnZn7r5JD1m7SJj8vhWJ/t86fR6KO5JQ2MijujmefijNizrCeU+habzlARJtA6V1SuemTlty+IZNw41hq7lz7+PWQmSiLtRRUjE0RxaAdNbRX5cexTkfNXuiMTFO9n3mrubP/8+TpXC6fmudmGSxlcne3EfSoREHEVYKKz8DlYPgByvRCZBidLYHZW4iXnbz/DltO0kTRDPWlXml1ktWsQ9KBEScQRXT8C0lnDyH3itK5TtoI7xEutOXL5Nm4lb2XXqGp3fykvLcjnUyV5cnhIhEbvtnQczPwavRFBnDGR5ye6IxI0Fh4bTb/E+Rq06zCt5U9O/ri8pE6mTvbguJUIidgkNgsXdYONIyFcVqg+BBCnsjkrEsmLfeT6bso14HqaTvT+lc6a0OySRGKFESMQOlw5Ftsm4sBfe7A0lP1DHeHE4567fpf2krfx95DJtX8tN+9dz46GhMnExSoREYtv2KTC3AyRKC3XHQnpfuyMSeaKw8AiGLj/IoGX7KZ4tBYMb+JMuqY/dYYlEGyVCIrEl+BbM7wyBf0CR+lClP3gntjsqkWey4fAlqzpk5hD1r+fLa/nS2h2SSLRQIiQSG87tgqnN4NoJqNwP/BppKEyczuVbwXSauo3le8/Tslx2Or+VDy9PrW4U56ZESCQmmV+vzWNhYRdIkTNyKCx1XrujEoky85YxZs0Rfli4lwLpkzCkYVGypExgd1giUaZUXiSm3LkaOSHazAfyexc+WKYkSFyiPUfL8jkIaF2GK7dDqDJ4NXO2nbY7LJEoU0VIJCac3AwBTeHONag+GArWtDsikWh3/W4IX03fwdztZ2hYMjPdqxYkvpeH3WGJPBclQiLR3TF+/VBY9j9I7xe5QWLybHZHJRJjzFvIpH9O8M3sXWRNmYBhjYqSO60WAYjz0NCYSHS5dREm1IMl3eClj6H5QiVB4hZDZQ1LZmF2m3LWlLhqQ9cw+Z/j6mQvTkMVIZHocGQ1TP8AwoKh1kjI/YbdEYnEujvBYVZlaPKmE1T3zUDvWoVI7KNO9uLYlAiJvIjwMPjrB/irL2QrB7VHQ5L0dkclYqtZgafoOmMnKRN5MbRhUQpnSmp3SCJPpKExkai6fhrGV4NVP8KrX0HjWUqCRIAafhmZ27YcSXziUfvntdZyezf7m1uciCpCIlGxfxHMaA2ePvDOL5CtrN0RiTicoNAwfliwj1/XHqFi/jT8WMeX5Am97A5L5CFKhESeR2hw5IowszIsz1tQYzgkVFdukf+ydPc5OgVsI348DwY18Kdk9hR2hyRynxIhkWd1+QgENIezO+CN/0WuDFObDJFncvrqHatX2eZjV+hQMQ8fv5pLnezFISgREnkWO6fBnE8hQQqoMxYyFrU7IhGnExoWzqBlBxi64iClc6RkYH0/0iRRJ3uxlxIhkf8SfBsWfglbxkPB2lBtIPhoBYzIi1h38CLtJwcSHh7BgPp+VMiT2u6QxI0pERJ5kvN7I3uFXTkKb/8ARRtrKEwkmly8GUTHKdtYtf8CH1bIQac38xLPQwuZJfYpERJ5lPmV2Po7zO8MybNC3XGQJr/dUYm4HFMRGrX6MP0W7bP2GhrcwJ/MKdTJXmKXEiGRB929HtktfmdAZAXorR/ASy/MIjFpy/ErtJ2wlRt3Q+hbpwhvFdJ+XBJ7lAiJ3HN6K0xtFtkzzMwFKlzH7ohE3Ma12yF8MW07C3ed5f2XstK1Sn584qmTvcQ8JUIi5ldgw8+wpDukLQh1foWUOe2OSsTtmLejP/4+Tq+5u8mZOhFDG/lb/4vEJM1ME/d2+zJMbAiLukDJVtBiiZIgERs72Ztq0MyPy1q7UlcbsoaAzSftDktcnCpC4r6OrYNpLSHkNtQcAXnfsjsiEfk/t4JC6T5rF9O2nKS2f0Z61SxEQm9Pu8MSF6RESNyzY/zqAbDyO8j8UmSvsKQZ7Y5KRB5j+paTfD1zJ+mS+DCkkT8FM2gfL4leGhoT93LjLPxeE1b0hvKdoMkcJUEiDqx20UzMaVsO73ge1Bq+jt/WH1Une4lWqgiJ+zi4FKZ/CHE9oPZoyFHB7ohE5BndDQmjz/w9jF9/jEoF09L3HV+SJohnd1jiApQIiesLC4HlvWDtIMj5OtQaCYm0pb+IM1q48yydA7aR2Ccegxv6UyxrcrtDEienREhc25VjMK1F5B5Br3eH0m0hrkaERZzZySu3aTdxK9tOXuOzN/PQ+uWcxFUne4kiJULiunbPhtltIpukvvMrZC5hd0QiEk1CwsIZsGQ/P688RPncqRhQz4/Uib3tDkuckBIhcT0hd2FxV/jnF8hfHaoPgfjJ7I5KRGKAadracUqgtQfRwPp+lM2Vyu6QxMkoERLXcvFAZJuMi/vhre+geAt1jBdxcedv3KXD5EDWHbrEJ6/k4tOKufFUJ3t5RkqExHUEToB5nSBJBqg7FtIVtjsiEYklYeERjPjrkDVc5p85mTWROkOy+HaHJU5AiZA4v6CbMO8z2D4J/N6Fyj+CV0K7oxIRG/xz9DLtJ27ldkgYP9bx5Y0Cae0OSRycEiFxbme2Q0AzuH4Gqv4EvvXtjkhEbHb1djCdpm5n6Z5zNCubjS/fzoe3pzrZy+MpERLnZH5szWToRV0hdR6oMw5S5bI7KhFxEOatbdy6o/SZv5c86RIxtGFRsqVSpVj+TbPJxPncuQKT34P5naBYE2ixVEmQiDzErCJrVjY70z8uw827oVQdsoZZgafsDksckCpC4lxObISA5hB0HWoMg/zV7I5IRBzczaBQus7YwazA09QrnolvqhckgZc62UskJULiHMLDYe1AWP4tZCoe2TE+WRa7oxIRJ2He6qZuPkmPWbvImDw+wxoVJW+6xHaHJQ5AQ2Pi+G6ehz/fgWU9oWx7aDpPSZCIPPdQWb3imZnTtiweceJQfegaJvx9XJ3sRRUhcXCHV8L0VhARDrVHQc7X7I5IRFygk33PubutRKhKkfT0qV2YJD7qZO+ulAiJYwoLhZV9YHV/yFEBao2CxNoPRESiz7ztZ/hy2naSJ/RiSEN/fDOrFY870tCYOJ5rJ2FcFVjzE7z2Nbw3Q0mQiEQ7Uw2a1648yRPE452f1zF61WHCw92qNiCqCKki5HD2zoeZH4FXIqgzBrK8ZHdEIuLigkPD6bd4H6NWHebVvKnpX8+PFAm97A5L3KkiNGzYMLJly4aPjw+lSpVi48aNT7zt6NGjKV++PMmTJ7cuFStW/M/bi5MIDYIFX8CkhpC1LLRerSRIRGKFl2dcvqqcn7FNS7Dt5DXeHrSKDYcv2R2WuEsiNHnyZDp27EiPHj3YsmULvr6+VKpUifPnzz/29itXrqRhw4asWLGC9evXkzlzZt58801OndJGWU7r0iEY8wZs+hXe7gsN/oQEKeyOSkTczKv50jC/XXmypUxIo9EbGLh0v9XMVVyb7UNjpgJUokQJhg4dal0PDw+3kpu2bdvy5ZdfPvX+YWFhVmXI3L9x48ZPvb2GxhzM9qkw91NIlAbqjIUMfnZHJCJuziQ/g5cdYMjyA5TMnoJBDfxJm8TH7rDEFStCwcHBbN682Rreuh9Q3LjWdVPteRa3b98mJCSEFCkeX0EICgqykp8HL+IAgm/BrE9gekvIWxk+XKUkSEQcgkfcOHR4Iw9/tnyJIxdv8fag1azY9/hRCnF+tiZCFy9etCo6adM+vCLIXD979uwzPcYXX3xBhgwZHkqmHtSnTx+rAnTvYqpNYrNzu2DUq7BzemSbDLM/kLd2eBURx1I6Z0prqMw3U1Kajf2H3vN2WxOrxbXYPkfoRXz//fdMmjSJGTNmWBOtH6dLly7WMNi9y4kTJ2I9Tvk/ZhTWzAMa/RrE9YRWK8H/PbPlq92RiYg8VspE3oxpUoKuZjL12qPUHbme45du2x2WuEoilCpVKjw8PDh37txDx831dOnS/ed9+/XrZyVCixcvpkiRIk+8nbe3tzUX6MGL2ODuNZjaFOZ2AL9G8MEySJ3X7qhERJ4qbtw4fPByDgI+KsPlW0FUGbza2oxRXIOtiZCXlxfFihVj2bJl94+ZydLmeunSpZ94v759+9KrVy8WLlxI8eLFYylaibKTm2FEeTi0HOqOg6o/Qbz4dkclIvJc/DInszZgfDlPaj6ZsIWvZuyw2nWIc7N9aMwsnTd7A40fP549e/bw0UcfcevWLZo1a2Z93qwEM8Nb9/zwww9069aNX3/91dp7yMwlMpebN2/a+FXIEzvGrxsCv74JCVNF7g1UsJbdUYmIRJnpSTa0kT/f1SrMtM0nqTlsLQfP37A7LHHmRKh+/frWMFf37t3x8/MjMDDQqvTcm0B9/Phxzpz5/yXIn3/+2VptVqdOHdKnT3//Yh5DHMitizCxPiz+Gl76CJothOTZ7I5KRCRaOtk3KpWFWW3KEhoeQbUha5nyzwl1sndStu8jFNu0j1AsOLIapn8AYcFQayTkfsPuiEREYsTt4FC+mb2LKZtOUsMvA71rFSaRt6fdYclzUCIk0Sc8DP7qC6v6RrbJqD0akqS3OyoRkRg3K/AUX03fQerE3gxtVJRCGZPaHZI4y9CYuIjrp2F89cgkqMKX0HiWkiARcRs1/DIyt115Evl4Unv4OsauPaKhMiehipC8uP2LYWZr8PCCd36BbOXsjkhExBZBoWH0mb+XceuO8kaBtPxYpwjJEqiTvSNTIiRRFxoMy/4H64dC7kpQ82dImNLuqEREbLdk9zk6Td1GQi8PBjX0p0Q2NZJ2VEqEJGouH4GA5nB2B1T8Bl762Ow6ZndUIiIO4/TVO7SbuJWtJ67SoWJuPnoll9XHTByLEiF5fqZH2Jz2ED851B0LGYvZHZGIiEMKDQtn4NIDDFt5kDI5U/JTfT/SJFYne0eiREieXcgdWNgFNo+N3Bix2iDw0coIEZGnWXPgIp9ODjRNFxlQz8/anVocgxIheTYX9sHUZnD5ELz1PRRrqmapIiLP4cKNIDpOCWT1gYt89EpOOr6Rh3gemlJgNyVC8t/Mj8fWP2BBZ0iaOXIoLG1Bu6MSEXFK4eERjFx1mH6L9+GbKSmDG/qTKXkCu8Nya0qE5MmCbkR2i98xFfzfh7d/AK+EdkclIuL0Nh+7Yk2kvnE3hL51fHmrUDq7Q3JbSoTk8U4HQkAzuHk+ci5Q4Tp2RyQi4lKu3Q6h87RtLNp1jsals/JV5fz4xPOwOyy3o0RIHmZ+HP4eCUu6QZr8UGcspMxpd1QiIi7JvAX/vuEY387dQ640iazO9jlSJ7I7LLeiWVry/92+DJPehYVfQPEW0GKJkiARkRjuZN+4dDZmfFKGuyFhVB2yhulbTtodlltRRUgiHVsP01pCyC2oMRzyVbY7IhERt3IrKJRuM3cyfesp3imaiZ41CpJQnexjnBIhd2c6xq8ZACv6QOaSkb3CkmayOyoREbc1bfNJus3aSbqkPgxtWJQCGfReFZM0NObObpyD32vB8t5QviM0maskSETEZu8Uy8SctuXw8ohLzeFr+X39UXWyj0GqCLmrg8tgxocQJy7UHgU5XrE7IhEReYCZM9R73h5rMvXbhdLx/TtFSBo/nt1huRwlQu4mLARW9IY1P0HO16DWSEiUxu6oRETkCRbsOEPnadtJ4hOPIY38KZolud0huRQlQu7k6nEIaAGnNsPr3aBMe3WMFxFxAicu36bdpK3sOHmNTpXy0qp8DuKqk320UCLkLvbMgVmfgHdSqDMmcmK0iIg4jZCwcPov3s+Ivw5ZTVsH1PMlVSJvu8NyekqEXF3IXVj8NfwzGvJXg+pDIL7KqiIizuqv/RfoODnQqggNqu9HmVyp7A7JqSkRcmUXD0JAU7iwHyr1hhIt1TFeRMQFnL9+l08nB7L+8CXavJqL9q/nxlOd7KNEiZCr2jYJ5naEJOkj22SkL2J3RCIiEo3CwiMYvuIgPy3dT/GsKRjU0I/0SePbHZbTUSLkaoJuwvzPYdsE8G0IlfuBt/rWiIi4qo1HLtN+0lbuhITRr44vFQuktTskp6JEyJWc3QFTm8H101ClP/g1tDsiERGJBVduBfN5wDaW7jlP87LZ+eLtvHh7qpP9s1Ai5ArMKfznF1jUFVLlgbpjIVVuu6MSEZFYZN7Ox649Sp8Fe8iXLglDGvqTLVVCu8NyeJpZ5ezuXIUpjWF+JyjaGFouVRIkIuKmneybl8vO9I/Kcv1uiNXJflbgKbvDcniqCDmzE/9AQHMIugbVh0KB6nZHJCIiDuDG3RC6ztjJ7G2nqV88M99UL0h8Lw2VPY4SIWcUHg7rBsPyXpDBH94ZA8mz2h2ViIg4EPP2PmXTCXrM3kXm5AkY2qgoedMltjssh6OhMWdz8wL8WQeW9oDSbaDZAiVBIiLy2KGy+iWyMLtNOWsLuepD1zBx43F1sn+EKkLO5PBfMP0DCA+D2iMhV0W7IxIRESdwJziMnnN3W4lQ1SLp+a52YauJqygRwimEhcJf38OqfpD9Zag9ChKnszsqERFxMnO2near6TtIntDLWlXmmzkZ7k5DY47u2ikYXw1W94fXusL7M5QEiYhIlFTzzcC8duVJliAedUas45fVh91+qEwVIUe2bwHM/AjiJYicEJ21tN0RiYiICwgODafvwr38suYIr+VLQ7+6vqRI6IU7UiLkiEKDYOk3sGE45K0MNYZBghR2RyUiIi5m+d5zfDZlm7UL9aAGfpTKkRJ3o0TI0Vw6FLk30Lld8GYvKNVaHeNFRCTGnLl2h/aTAtl09DLtX89Dm9dy4RHXfd53lAg5kh0BMOdTSJQa6vwauUeQiIhILHSyH7zsAIOXH6BU9hQMauBP2iQ+uAMlQo4g+DYs6Axbf4fCdaHKAPBxkNhERMRtrD90yepkHxoeQf96vryaNw2uTomQ3c7thoBmcOUYVP4R/N/TUJiIiNjm0s0gPpu6jZX7LtDq5Rx0ejMvXp6uu8hciZBdzLd9y3hY8AWkyAF1xkKafPbFIyIi8n/CwyP4Zc1h+i7cR8GMSRna0J/MKRLgipQI2eHutci5QLumQ7Gm8Nb3EC++PbGIiIg8wdbjV2g7cSvX7oTwwztFqFw4Pa5GiVBsO7U5clXY7ctQbRAUqh37MYiIiDyja3dCrN2o5+04w7ulstCtagF84rlOJ3slQrHFfJvXD4vcHyhd4chVYSmyx97zi4iIRFFERAQTNh6n55zdZE+V0OpknytNIlyB685+ciS3LsGE+rC4K5T6EJovUhIkIiJO1cn+3VJZmdWmLCFh4VQbsoapm064RHsOVYRi2tG1MK0lhN6FWiMgT6WYf04REZEYcjs4lB6zdjF180lq+WekV81CJPL2xFkpEYop4WGR3eJN1/gsZeCd0ZAkQ8w9n4iISCyaufUUXWfsIE0SH6uTfaGMSXFGGhqLCdfPwG81IpOglztDk9lKgkRExKXU9M/I3HblSeDlQe3h6xi39ohTDpWpIhTdDiyBGR+ChxfUHg3Zy0f/c4iIiDiIoNAw+szfy7h1R3mzQFr61ilCsgTO08leiVB0CQ2G5T1h3RDI/SbU/BkSpoq+xxcREXFgi3ed5fOA7dZ8ocEN/SiWNQXOQIlQdLhyNHJvoDPboOI38NInEFejjiIi4l5OXb1D+4lb2XriKh3fyMNHFXIS18E72SsRelG7ZsLsdhA/WWSbjEzFoiNMERERpxQaFs5PS/czfOUhyuVKxYB6fqRO7I2jUiIUVSF3YNFXsOlXKFATqg8GH+ecMS8iIhLd1hy4yKeTA62Pf6rvS/ncqXFESoSi4sI+mNoMLh+K7BNm+oWpY7yIiMhDLtwIouOUQNYcvGgNk5nhMk8Px5o6okToeZhvVeCfMP9zSJoZ6o6FtAVjKlQRERGX6GQ/YtUh+i/ej1/mZAxu6E/GZI7TaFyJ0LMKugFzO8KOKeD/HrzdF7wSxmSoIiIiLmPzscu0mxjIzaBQa4l9pYLpcARKhJ6FWQ1mhsJunoOqA6FI3ZgOU0RExOVcvR1M54DtLN59jqZlstGlcj68Pe3tZK9E6L+Yb83GUbD4a0iTP3JVWMqcsRWqiIiIy4mIiOC39cfoPW8PudMmstpz5EhtXyd7x5qx5EhuX4ZJ78KCzlC8ObRYoiRIREQkGjrZNymTjekfl+F2cJjVyX7G1pP2xaOK0GMc3wABLSD4ZuQO0fkqx3aYIiIiLu9mUCjdZ+5k+tZT1CmWiZ41CpLAK3Y72SsRelB4OKwZACu+g0wloM4YSJrJrlBFRETcQsDmk3SbuZMMyXwY2qgo+dPHQC/QJ9DQ2D03zsEftWD5t1CuAzSdpyRIREQkFphq0Jy25YjnEZcaw9byx4ZjsdbJXhUh49BymN7KfDug9ijI+ardYYqIiLiduyFhfDtvN39sOE7lwunoU7sISePHc/2K0LBhw8iWLRs+Pj6UKlWKjRs3/uftp06dSr58+azbFy5cmPnz50fticNCYOn/4PfakK4wfLRWSZCIiIhNfOJ58G3Nwvz8blFWH7hIlcGr2Xr8imsnQpMnT6Zjx4706NGDLVu24OvrS6VKlTh//vxjb79u3ToaNmxIixYt2Lp1KzVr1rQuO3fufL4nvnoCxlWBtYOgYg94dxokShM9X5SIiIhE2duF0zO/XXlSJfKm7oj1jPzrkLVDtUsOjZkKUIkSJRg6dKh1PTw8nMyZM9O2bVu+/PLLf92+fv363Lp1i7lz594/9tJLL+Hn58eIESOefWisR0aSJDUd43+FzCWj+asSERGRFxUSFk6/xfsY+ddhXsmbmnHNov/9OnbXqD0iODiYzZs306VLl/vH4saNS8WKFVm/fv1j72OOmwrSg0wFaebMmY+9fVBQkHW5x8wNMq6nNqvCBkL85CY7iqavSERERKLTJ2UzUiSNF12n77CKGYkTJ7b2InKJROjixYuEhYWRNm3ah46b63v37n3sfc6ePfvY25vjj9OnTx/+97///et45jYzwVxERETEKST9DmvqTOrUqV0jEYoNptr0YAXp6tWrZM2alePHj1tDZGIfk9mbYdATJ048XwNciRE6H45D58Jx6Fw43rnw8vKK1se1NRFKlSoVHh4enDt37qHj5nq6dI/vSmuOP8/tvb29rcujTBKkH2rHYM6DzoXj0PlwHDoXjkPnwnFE57CY7avGTFZXrFgxli1bdv+YmSxtrpcuXfqx9zHHH7y9sWTJkifeXkRERMRhh8bMsFWTJk0oXrw4JUuWZODAgdaqsGbNmlmfb9y4MRkzZrTm+hjt27enQoUK9O/fnypVqjBp0iQ2bdrEqFGjbP5KRERExNnYngiZ5fAXLlyge/fu1oRnswx+4cKF9ydEm7k8ZiXZPWXKlGHChAl8/fXXfPXVV+TOndtaMVaoUKFnej4zTGb2LHrccJnELp0Lx6Lz4Th0LhyHzoXrnwvb9xESERERsYvtO0uLiIiI2EWJkIiIiLgtJUIiIiLitpQIiYiIiNtyyURo2LBhZMuWDR8fH6up68aNG//z9lOnTiVfvnzW7QsXLsz8+fNjLVZX9zznYvTo0ZQvX57kyZNbF9Nz7mnnTmL2d+Mes02F2cSsZs2aMR6ju3jec2F2xf/kk09Inz69tWomT548eq2y6VyYbV7y5s1L/PjxrZ2OO3TowN27d2MtXle1atUqqlWrRoYMGazXmyf1EH3QypUrKVq0qPU7kStXLsaNG/f8TxzhYiZNmhTh5eUV8euvv0bs2rUr4oMPPohIlixZxLlz5x57+7Vr10Z4eHhE9O3bN2L37t0RX3/9dUS8ePEiduzYEeuxu/u5aNSoUcSwYcMitm7dGrFnz56Ipk2bRiRNmjTi5MmTsR67K3re83HPkSNHIjJmzBhRvnz5iBo1asRavK7sec9FUFBQRPHixSMqV64csWbNGuucrFy5MiIwMDDWY3f3c/Hnn39GeHt7W/+b87Bo0aKI9OnTR3To0CHWY3c18+fPj+jatWvE9OnTzWr2iBkzZvzn7Q8fPhyRIEGCiI4dO1rv30OGDLHezxcuXPhcz+tyiVDJkiUjPvnkk/vXw8LCIjJkyBDRp0+fx96+Xr16EVWqVHnoWKlSpSI+/PDDGI/V1T3vuXhUaGhoROLEiSPGjx8fg1G6j6icD3MOypQpE/HLL79ENGnSRImQTefi559/jsiRI0dEcHBwLEbpHp73XJjbvvbaaw8dM2/EZcuWjfFY3QnPkAh17tw5omDBgg8dq1+/fkSlSpWe67lcamgsODiYzZs3W0Mq95jNGM319evXP/Y+5viDtzcqVar0xNtLzJ2LR92+fZuQkBBSpEgRg5G6h6iej549e5ImTRpatGgRS5G6vqici9mzZ1tthMzQmNls1mwg+9133xEWFhaLkbueqJwLs6mvuc+94bPDhw9bQ5SVK1eOtbglet+/bd9ZOjpdvHjRemG4tyv1Peb63r17H3sfs5v1425vjkvsnotHffHFF9ZY8aM/6BI752PNmjWMGTOGwMDAWIrSPUTlXJg32+XLl/Puu+9ab7oHDx7k448/tv5QMDvtSuydi0aNGln3K1eunBlRITQ0lNatW1udDiR2Pen923Spv3PnjjWH61m4VEVIXMf3339vTdCdMWOGNYFRYteNGzd4//33rQnsqVKlsjsct2eaUZvKnOmpaBpVm9ZEXbt2ZcSIEXaH5nbM5FxTjRs+fDhbtmxh+vTpzJs3j169etkdmkSRS1WEzAu2h4cH586de+i4uZ4uXbrH3sccf57bS8ydi3v69etnJUJLly6lSJEiMRype3je83Ho0CGOHj1qreB48M3Y8PT0ZN++feTMmTMWInc9UfndMCvF4sWLZ93vnvz581t/EZvhHS8vrxiP2xVF5Vx069bN+iOhZcuW1nWz0tg0Cm/VqpWVnD7YG1Ni1pPev5MkSfLM1SDDpc6YeTEwfy0tW7bsoRdvc92Mrz+OOf7g7Y0lS5Y88fYSc+fC6Nu3r/WXlWm8W7x48ViK1vU97/kw20ns2LHDGha7d6levTqvvvqq9bFZMiyx97tRtmxZazjsXjJq7N+/30qQlATF7rkwcxcfTXbuJahq3Rm7ou39O8IFl0KapY3jxo2zltO1atXKWgp59uxZ6/Pvv/9+xJdffvnQ8nlPT8+Ifv36WUu2e/TooeXzNp2L77//3lrGGhAQEHHmzJn7lxs3btj4Vbjv+XiUVo3Zdy6OHz9uraBs06ZNxL59+yLmzp0bkSZNmohvv/3Wxq/CPc+FeY8w52LixInW8u3FixdH5MyZ01qBLC/GvNab7VPMxaQnAwYMsD4+duyY9XlzHsz5eHT5/Oeff269f5vtV7R8/v+YvQSyZMlivamapZEbNmy4/7kKFSpYL+gPmjJlSkSePHms25ulePPmzbMhatf0POcia9as1g//oxfzwiP2/G48SImQvedi3bp11tYe5k3bLKXv3bu3tb2BxO65CAkJifjmm2+s5MfHxycic+bMER9//HHElStXbIredaxYseKx7wH3vv/mf3M+Hr2Pn5+fde7M78XYsWOf+3njmH+it1glIiIi4hxcao6QiIiIyPNQIiQiIiJuS4mQiIiIuC0lQiIiIuK2lAiJiIiI21IiJCIiIm5LiZCIiIi4LSVCIiIi4raUCInIf3rllVf49NNP7Q7Doeh7IuI6XKr7vIi4l6ZNm3L16lVmzpwZq887ffp0qxu8iDg/JUIi4nTCwsKIEyeObc+fIkUK255bRKKXhsZE5KnCw8Pp3LmzlQCkS5eOb775xjrevHlzqlat+tBtQ0JCSJMmDWPGjLk/jNSmTRvrkjRpUlKlSkW3bt1Mw+f79wkKCqJTp05kzJiRhAkTUqpUKVauXHn/8+PGjSNZsmTMnj2bAgUK4O3tbT33+PHjmTVrlpUUmcu9+5w4cYJ69epZ9zEx16hRg6NHjz5USapZsyb9+vUjffr0pEyZkk8++cSK/Z7hw4eTO3dufHx8SJs2LXXq1Hni0NiVK1do3LgxyZMnJ0GCBLz99tscOHDgX/EvWrSI/PnzkyhRIt566y3OnDkTbedIRKJGiZCIPJVJOEyC8vfff9O3b1969uzJkiVLaNmyJQsXLnzoDX3u3Lncvn2b+vXrP3R/T09PNm7cyKBBgxgwYAC//PLL/c+bJGn9+vVMmjSJ7du3U7duXStReDCZMI/5ww8/WPfbtWsXgwcPtpKdewmFuZQpU8ZKZipVqkTixIlZvXo1a9euvZ94BAcH33+8FStWcOjQIet/E59JVszF2LRpE+3atbO+zn379llf48svv/zE749JrMx9TKJmvg6T5FWuXPmhxMrEbxKv33//nVWrVnH8+HEr+RMRmz13v3oRcSsVKlSIKFeu3EPHSpQoEfHFF19YHxcoUCDihx9+uP+5atWqRTRt2vSh++fPnz8iPDz8/jFzX3PMOHbsWISHh0fEqVOnHnqO119/PaJLly7Wx2PHjjXlo4jAwMCHbtOkSZOIGjVqPHTs999/j8ibN+9DzxcUFBQRP378iEWLFt2/X9asWSNCQ0Pv36Zu3boR9evXtz6eNm1aRJIkSSKuX7/+xO9J+/btrY/3799vxbZ27dr7n7948aL1fFOmTHko/oMHD96/zbBhwyLSpk372McXkdijipCIPFWRIkUeum6Gk86fP299bKpCY8eOtT4+d+4cCxYssIatHvTSSy89NKendOnSVrXHzPXZsWOH9X+ePHmsys29y19//WVVbO7x8vL6VxyPs23bNg4ePGhVhO49lhkeu3v37kOPV7BgQTw8PB77Nb3xxhtkzZqVHDly8P777/Pnn39aFZ3H2bNnj1XtMsN595ihtrx581qfu8cMmeXMmfOxzyci9tFkaRF5qkdXSJmkxswbMszcmC+//NIaElq3bh3Zs2enfPnyz/zYN2/etBKSzZs3P5SYGCaJuSd+/PjPNEHaPF6xYsWs5OVRqVOnfqavySRRW7ZsseYcLV68mO7du1vzov755x9rrk9UPO75HpwnJSL2UCIkIi/EVD/MxGNTFTLJULNmzf51GzO36EEbNmywJiKbxMff39+qCJnqyPMkUPeqROa+DypatCiTJ0+2JmwnSZIkil8VVpWnYsWK1qVHjx5WArR8+XJq16790O3M5OfQ0FDrazRzlIxLly5Zc4vMxG4RcWwaGhORF2aGx8yEYzMU1KRJk3993kwM7tixo5UcTJw4kSFDhtC+fXvrc2ZI7N1337UqS2Z/niNHjliTqvv06cO8efP+83mzZctmTa42j3vx4kVrcrJ5LLMyzawUM5OlzeOZyo6Z/Hzy5Mln+nrMhG8zGTswMJBjx47x22+/WdUiM9z1KJPQmef64IMPWLNmjTU0995771kr4MxxEXFsSoRE5IWZqomZ82JWa2XIkOFfnzdJzp07dyhZsqS1TN0kQa1atbr/eVNNMrf57LPPrGTDVJjMMFSWLFn+83lN8mFuX7x4cWvYy6wQM3NxzKosc19TvTEVmxYtWlhzhJ61QmSqPyYpe+2116z7jxgxwkrgzLyixzHxm+E4s5WAmf9khrzmz5+vTRdFnEAcM2Pa7iBExLmZeTmmAmISgkeHjsyeO35+fgwcONC2+EREnkRzhEQkysxwkRmS6t+/v1VFqV69ut0hiYg8FyVCIhJlZu6PWSWWKVMmazNCM8FYRMSZaGhMRERE3JYmS4uIiIjbUiIkIiIibkuJkIiIiLgtJUIiIiLitpQIiYiIiNtSIiQiIiJuS4mQiIiIuC0lQiIiIoK7+n8GZDSkZTkI8AAAAABJRU5ErkJggg==", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "image/png": "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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "image/png": "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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" } ], "source": [ @@ -115,53 +145,127 @@ "age['middle'] = fuzzy.trapmf(age.universe, [18, 20, 30, 40])\n", "age['old'] = fuzzy.trapmf(age.universe, [40, 50, 60, 70])\n", "age['aged'] = fuzzy.smf(age.universe, 60, 100) \n", - "age.view()\n", - "# plt.show()\n", "\n", "# сахар\n", "glucose['low'] = fuzzy.zmf(glucose.universe, 50, 80)\n", "glucose['normal'] = fuzzy.trapmf(glucose.universe, [70, 80, 90, 100])\n", "glucose['hight'] = fuzzy.smf(glucose.universe, 100, 300)\n", - "glucose.view()\n", "\n", "# ИМТ\n", "bmi['low'] = fuzzy.zmf(bmi.universe, 0, 19)\n", "bmi['normal'] = fuzzy.trimf(bmi.universe, [18, 20, 25])\n", "bmi['hight'] = fuzzy.smf(bmi.universe, 25, 50)\n", - "bmi.view()\n", "\n", "# гипертония\n", - "# пердечный сриступ\n", + "hypertension['low'] = fuzzy.zmf(hypertension.universe, 0, 0.6)\n", + "hypertension['high'] = fuzzy.smf(hypertension.universe, 0.4, 1.0)\n", "\n", + "# пердечный сриступ\n", + "heart_disease['low'] = fuzzy.zmf(heart_disease.universe, 0, 0.6)\n", + "heart_disease['high'] = fuzzy.smf(heart_disease.universe, 0.4, 1.0)\n", + "\n", + "#риск инсульта\n", + "stroke_risk['low'] = fuzzy.zmf(stroke_risk.universe, 0, 0.4)\n", + "stroke_risk['medium'] = fuzzy.trimf(stroke_risk.universe, [0.3, 0.5, 0.7])\n", + "stroke_risk['high'] = fuzzy.smf(stroke_risk.universe, 0.6, 1.0)\n", + "\n", + "\n", + "age.view()\n", + "glucose.view()\n", + "bmi.view()\n", + "hypertension.view()\n", + "heart_disease.view()\n", + "stroke_risk.view()\n", "\n" ] }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "

\n", + "а теперь формируем базу нечетких правил :D\n", + "

\n", + "\n", + "\n", + "\n", + "\n", + "

\n", + " ну.... с написанием правил мне чат гпт помог, я не медик, поэтому... спасибо чату\n", + "

" + ] + }, + { + "cell_type": "code", + "execution_count": 21, + "metadata": {}, + "outputs": [], + "source": [ + "rule1 = control.Rule(age['aged'] & hypertension['high'], stroke_risk['high'])\n", + "rule2 = control.Rule(age['old'] & hypertension['high'], stroke_risk['high'])\n", + "rule3 = control.Rule(age['middle'] & hypertension['high'] & glucose['hight'], stroke_risk['high'])\n", + "rule4 = control.Rule(age['middle'] & hypertension['high'] & glucose['normal'], stroke_risk['medium'])\n", + "rule5 = control.Rule(age['young'] & hypertension['high'] & glucose['low'], stroke_risk['medium'])\n", + "rule6 = control.Rule(age['young'] & hypertension['low'] & glucose['normal'], stroke_risk['low'])\n", + "rule7 = control.Rule(age['aged'] & glucose['hight'] & bmi['hight'], stroke_risk['high'])\n", + "rule8 = control.Rule(age['old'] & glucose['normal'] & bmi['hight'], stroke_risk['medium'])\n", + "rule9 = control.Rule(age['old'] & glucose['low'] & bmi['low'], stroke_risk['low'])\n", + "rule10 = control.Rule(age['middle'] & bmi['hight'] & glucose['hight'], stroke_risk['high'])\n", + "rule11 = control.Rule(age['young'] & bmi['hight'] & glucose['hight'], stroke_risk['medium'])\n", + "rule12 = control.Rule(age['young'] & bmi['normal'] & glucose['normal'], stroke_risk['low'])\n", + "rule13 = control.Rule(age['aged'] & heart_disease['high'], stroke_risk['high'])\n", + "rule14 = control.Rule(age['old'] & heart_disease['high'], stroke_risk['high'])\n", + "rule15 = control.Rule(age['middle'] & heart_disease['high'], stroke_risk['medium'])\n", + "rule16 = control.Rule(age['young'] & heart_disease['high'], stroke_risk['medium'])\n", + "rule17 = control.Rule(age['aged'] & hypertension['high'] & glucose['hight'] & bmi['hight'], stroke_risk['high'])\n", + "rule18 = control.Rule(age['middle'] & hypertension['low'] & glucose['low'] & bmi['low'], stroke_risk['low'])\n", + "rule19 = control.Rule(heart_disease['high'] & glucose['hight'] & bmi['hight'], stroke_risk['high'])\n", + "rule20 = control.Rule(heart_disease['low'] & glucose['normal'] & bmi['normal'], stroke_risk['low'])" + ] + }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], - "source": [] + "source": [ + "stroke_ctrl = control.ControlSystem([\n", + " rule1, \n", + " rule2, \n", + " rule3,\n", + " rule4,\n", + " rule5,\n", + " rule6,\n", + " rule7,\n", + " rule8,\n", + " rule9,\n", + " rule10,\n", + " rule11,\n", + " rule12,\n", + " rule13,\n", + " rule14,\n", + " rule15,\n", + " rule16,\n", + " rule17,\n", + " rule18,\n", + " rule19,\n", + " rule20,\n", + " ])" + ] }, { - "cell_type": "code", - "execution_count": null, + "cell_type": "markdown", "metadata": {}, - "outputs": [], - "source": [] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], "source": [] }, { From c003ebc436072c80309e6ad15dab65323b8c4927 Mon Sep 17 00:00:00 2001 From: =?UTF-8?q?=D0=95=D0=BB=D0=B5=D0=BD=D0=B0=20=D0=91=D0=B0=D0=BA=D0=B0?= =?UTF-8?q?=D0=BB=D1=8C=D1=81=D0=BA=D0=B0=D1=8F?= Date: Wed, 26 Feb 2025 17:38:35 +0400 Subject: [PATCH 4/6] =?UTF-8?q?=D1=87=D0=B5=D1=82=20=D0=BF=D0=BE=D0=BA?= =?UTF-8?q?=D0=B0=20=D0=BD=D0=B5=20=D0=BE=D1=87=D0=B5=D0=BD=D1=8C=20=D0=BE?= =?UTF-8?q?=D1=82=D0=BE=D0=B1=D1=80=D0=B0=D0=B6=D0=B5=D0=BD=D0=B8=D0=B5=20?= =?UTF-8?q?=D1=80=D0=B0=D0=B1=D0=BE=D1=82=D0=B0=D0=B5=D1=82?= MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit --- lab_7/lab_7.ipynb | 81 ++++++++++++++++++++++++++++++++++++++++++----- 1 file changed, 73 insertions(+), 8 deletions(-) diff --git a/lab_7/lab_7.ipynb b/lab_7/lab_7.ipynb index e4d5e8c..da7c9ab 100644 --- a/lab_7/lab_7.ipynb +++ b/lab_7/lab_7.ipynb @@ -19,7 +19,7 @@ }, { "cell_type": "code", - "execution_count": 14, + "execution_count": 33, "metadata": {}, "outputs": [], "source": [ @@ -44,7 +44,7 @@ }, { "cell_type": "code", - "execution_count": 15, + "execution_count": 34, "metadata": {}, "outputs": [], "source": [ @@ -73,9 +73,17 @@ }, { "cell_type": "code", - "execution_count": 19, + "execution_count": 35, "metadata": {}, "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "d:\\code\\mai\\labs\\AIM-PIbd-31-Bakalskaya-E-D\\lab_7\\.venv\\Lib\\site-packages\\skfuzzy\\control\\fuzzyvariable.py:125: UserWarning: FigureCanvasAgg is non-interactive, and thus cannot be shown\n", + " fig.show()\n" + ] + }, { "data": { "image/png": "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", @@ -207,9 +215,33 @@ }, { "cell_type": "code", - "execution_count": 21, + "execution_count": null, "metadata": {}, - "outputs": [], + "outputs": [ + { + "ename": "AttributeError", + "evalue": "'ControlSystemVisualizer' object has no attribute 'ctrl'", + "output_type": "error", + "traceback": [ + "\u001b[1;31m---------------------------------------------------------------------------\u001b[0m", + "\u001b[1;31mAttributeError\u001b[0m Traceback (most recent call last)", + "Cell \u001b[1;32mIn[36], line 22\u001b[0m\n\u001b[0;32m 19\u001b[0m rule19 \u001b[38;5;241m=\u001b[39m control\u001b[38;5;241m.\u001b[39mRule(heart_disease[\u001b[38;5;124m'\u001b[39m\u001b[38;5;124mhigh\u001b[39m\u001b[38;5;124m'\u001b[39m] \u001b[38;5;241m&\u001b[39m glucose[\u001b[38;5;124m'\u001b[39m\u001b[38;5;124mhight\u001b[39m\u001b[38;5;124m'\u001b[39m] \u001b[38;5;241m&\u001b[39m bmi[\u001b[38;5;124m'\u001b[39m\u001b[38;5;124mhight\u001b[39m\u001b[38;5;124m'\u001b[39m], stroke_risk[\u001b[38;5;124m'\u001b[39m\u001b[38;5;124mhigh\u001b[39m\u001b[38;5;124m'\u001b[39m])\n\u001b[0;32m 20\u001b[0m rule20 \u001b[38;5;241m=\u001b[39m control\u001b[38;5;241m.\u001b[39mRule(heart_disease[\u001b[38;5;124m'\u001b[39m\u001b[38;5;124mlow\u001b[39m\u001b[38;5;124m'\u001b[39m] \u001b[38;5;241m&\u001b[39m glucose[\u001b[38;5;124m'\u001b[39m\u001b[38;5;124mnormal\u001b[39m\u001b[38;5;124m'\u001b[39m] \u001b[38;5;241m&\u001b[39m bmi[\u001b[38;5;124m'\u001b[39m\u001b[38;5;124mnormal\u001b[39m\u001b[38;5;124m'\u001b[39m], stroke_risk[\u001b[38;5;124m'\u001b[39m\u001b[38;5;124mlow\u001b[39m\u001b[38;5;124m'\u001b[39m])\n\u001b[1;32m---> 22\u001b[0m \u001b[43mrule1\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mview\u001b[49m\u001b[43m(\u001b[49m\u001b[43m)\u001b[49m\n", + "File \u001b[1;32md:\\code\\mai\\labs\\AIM-PIbd-31-Bakalskaya-E-D\\lab_7\\.venv\\Lib\\site-packages\\skfuzzy\\control\\rule.py:313\u001b[0m, in \u001b[0;36mRule.view\u001b[1;34m(self)\u001b[0m\n\u001b[0;32m 309\u001b[0m \u001b[38;5;28;01mdef\u001b[39;00m\u001b[38;5;250m \u001b[39m\u001b[38;5;21mview\u001b[39m(\u001b[38;5;28mself\u001b[39m):\n\u001b[0;32m 310\u001b[0m \u001b[38;5;250m \u001b[39m\u001b[38;5;124;03m\"\"\"\u001b[39;00m\n\u001b[0;32m 311\u001b[0m \u001b[38;5;124;03m Show a visual representation of this Rule.\u001b[39;00m\n\u001b[0;32m 312\u001b[0m \u001b[38;5;124;03m \"\"\"\u001b[39;00m\n\u001b[1;32m--> 313\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[43mControlSystemVisualizer\u001b[49m\u001b[43m(\u001b[49m\u001b[38;5;28;43mself\u001b[39;49m\u001b[43m)\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mview\u001b[49m\u001b[43m(\u001b[49m\u001b[43m)\u001b[49m\n", + "File \u001b[1;32md:\\code\\mai\\labs\\AIM-PIbd-31-Bakalskaya-E-D\\lab_7\\.venv\\Lib\\site-packages\\skfuzzy\\control\\visualization.py:204\u001b[0m, in \u001b[0;36mControlSystemVisualizer.view\u001b[1;34m(self)\u001b[0m\n\u001b[0;32m 186\u001b[0m \u001b[38;5;28;01mdef\u001b[39;00m\u001b[38;5;250m \u001b[39m\u001b[38;5;21mview\u001b[39m(\u001b[38;5;28mself\u001b[39m):\n\u001b[0;32m 187\u001b[0m \u001b[38;5;250m \u001b[39m\u001b[38;5;124;03m\"\"\"\u001b[39;00m\n\u001b[0;32m 188\u001b[0m \u001b[38;5;124;03m View the visualization.\u001b[39;00m\n\u001b[0;32m 189\u001b[0m \n\u001b[1;32m (...)\u001b[0m\n\u001b[0;32m 202\u001b[0m \u001b[38;5;124;03m inline.\u001b[39;00m\n\u001b[0;32m 203\u001b[0m \u001b[38;5;124;03m \"\"\"\u001b[39;00m\n\u001b[1;32m--> 204\u001b[0m nx\u001b[38;5;241m.\u001b[39mdraw(\u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mctrl\u001b[49m\u001b[38;5;241m.\u001b[39mgraph, ax\u001b[38;5;241m=\u001b[39m\u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39max)\n\u001b[0;32m 205\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mfig, \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39max\n", + "\u001b[1;31mAttributeError\u001b[0m: 'ControlSystemVisualizer' object has no attribute 'ctrl'" + ] + }, + { + "data": { + "image/png": "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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], "source": [ "rule1 = control.Rule(age['aged'] & hypertension['high'], stroke_risk['high'])\n", "rule2 = control.Rule(age['old'] & hypertension['high'], stroke_risk['high'])\n", @@ -230,14 +262,38 @@ "rule17 = control.Rule(age['aged'] & hypertension['high'] & glucose['hight'] & bmi['hight'], stroke_risk['high'])\n", "rule18 = control.Rule(age['middle'] & hypertension['low'] & glucose['low'] & bmi['low'], stroke_risk['low'])\n", "rule19 = control.Rule(heart_disease['high'] & glucose['hight'] & bmi['hight'], stroke_risk['high'])\n", - "rule20 = control.Rule(heart_disease['low'] & glucose['normal'] & bmi['normal'], stroke_risk['low'])" + "rule20 = control.Rule(heart_disease['low'] & glucose['normal'] & bmi['normal'], stroke_risk['low'])\n" ] }, { "cell_type": "code", "execution_count": null, "metadata": {}, - "outputs": [], + "outputs": [ + { + "ename": "AttributeError", + "evalue": "'ControlSystemVisualizer' object has no attribute 'ctrl'", + "output_type": "error", + "traceback": [ + "\u001b[1;31m---------------------------------------------------------------------------\u001b[0m", + "\u001b[1;31mAttributeError\u001b[0m Traceback (most recent call last)", + "Cell \u001b[1;32mIn[37], line 25\u001b[0m\n\u001b[0;32m 1\u001b[0m stroke_ctrl \u001b[38;5;241m=\u001b[39m control\u001b[38;5;241m.\u001b[39mControlSystem([\n\u001b[0;32m 2\u001b[0m rule1, \n\u001b[0;32m 3\u001b[0m rule2, \n\u001b[1;32m (...)\u001b[0m\n\u001b[0;32m 21\u001b[0m rule20,\n\u001b[0;32m 22\u001b[0m ])\n\u001b[0;32m 24\u001b[0m stroke \u001b[38;5;241m=\u001b[39m control\u001b[38;5;241m.\u001b[39mControlSystemSimulation(stroke_ctrl)\n\u001b[1;32m---> 25\u001b[0m \u001b[43mstroke_ctrl\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mview\u001b[49m\u001b[43m(\u001b[49m\u001b[43m)\u001b[49m\n", + "File \u001b[1;32md:\\code\\mai\\labs\\AIM-PIbd-31-Bakalskaya-E-D\\lab_7\\.venv\\Lib\\site-packages\\skfuzzy\\control\\controlsystem.py:134\u001b[0m, in \u001b[0;36mControlSystem.view\u001b[1;34m(self)\u001b[0m\n\u001b[0;32m 130\u001b[0m \u001b[38;5;28;01mdef\u001b[39;00m\u001b[38;5;250m \u001b[39m\u001b[38;5;21mview\u001b[39m(\u001b[38;5;28mself\u001b[39m):\n\u001b[0;32m 131\u001b[0m \u001b[38;5;250m \u001b[39m\u001b[38;5;124;03m\"\"\"\u001b[39;00m\n\u001b[0;32m 132\u001b[0m \u001b[38;5;124;03m View a representation of the system NetworkX graph.\u001b[39;00m\n\u001b[0;32m 133\u001b[0m \u001b[38;5;124;03m \"\"\"\u001b[39;00m\n\u001b[1;32m--> 134\u001b[0m fig, ax \u001b[38;5;241m=\u001b[39m \u001b[43mControlSystemVisualizer\u001b[49m\u001b[43m(\u001b[49m\u001b[38;5;28;43mself\u001b[39;49m\u001b[43m)\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mview\u001b[49m\u001b[43m(\u001b[49m\u001b[43m)\u001b[49m\n\u001b[0;32m 135\u001b[0m fig\u001b[38;5;241m.\u001b[39mshow()\n", + "File \u001b[1;32md:\\code\\mai\\labs\\AIM-PIbd-31-Bakalskaya-E-D\\lab_7\\.venv\\Lib\\site-packages\\skfuzzy\\control\\visualization.py:204\u001b[0m, in \u001b[0;36mControlSystemVisualizer.view\u001b[1;34m(self)\u001b[0m\n\u001b[0;32m 186\u001b[0m \u001b[38;5;28;01mdef\u001b[39;00m\u001b[38;5;250m \u001b[39m\u001b[38;5;21mview\u001b[39m(\u001b[38;5;28mself\u001b[39m):\n\u001b[0;32m 187\u001b[0m \u001b[38;5;250m \u001b[39m\u001b[38;5;124;03m\"\"\"\u001b[39;00m\n\u001b[0;32m 188\u001b[0m \u001b[38;5;124;03m View the visualization.\u001b[39;00m\n\u001b[0;32m 189\u001b[0m \n\u001b[1;32m (...)\u001b[0m\n\u001b[0;32m 202\u001b[0m \u001b[38;5;124;03m inline.\u001b[39;00m\n\u001b[0;32m 203\u001b[0m \u001b[38;5;124;03m \"\"\"\u001b[39;00m\n\u001b[1;32m--> 204\u001b[0m nx\u001b[38;5;241m.\u001b[39mdraw(\u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mctrl\u001b[49m\u001b[38;5;241m.\u001b[39mgraph, ax\u001b[38;5;241m=\u001b[39m\u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39max)\n\u001b[0;32m 205\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mfig, \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39max\n", + "\u001b[1;31mAttributeError\u001b[0m: 'ControlSystemVisualizer' object has no attribute 'ctrl'" + ] + }, + { + "data": { + "image/png": "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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], "source": [ "stroke_ctrl = control.ControlSystem([\n", " rule1, \n", @@ -260,9 +316,18 @@ " rule18,\n", " rule19,\n", " rule20,\n", - " ])" + " ])\n", + "\n", + "stroke = control.ControlSystemSimulation(stroke_ctrl)" ] }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] + }, { "cell_type": "markdown", "metadata": {}, From 5f977ca02648af6b6dd864814548adba53684aa2 Mon Sep 17 00:00:00 2001 From: =?UTF-8?q?=D0=95=D0=BB=D0=B5=D0=BD=D0=B0=20=D0=91=D0=B0=D0=BA=D0=B0?= =?UTF-8?q?=D0=BB=D1=8C=D1=81=D0=BA=D0=B0=D1=8F?= Date: Wed, 26 Feb 2025 22:41:13 +0400 Subject: [PATCH 5/6] =?UTF-8?q?=D0=BE=D0=BF=20=D0=BE=D0=BF=20=D0=BF=D0=BE?= =?UTF-8?q?=D1=87=D0=B8=D0=BD=D0=B8=D0=BB=D0=B0?= MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit --- lab_7/lab_7.ipynb | 58 ++++++++++++----------------------------------- 1 file changed, 15 insertions(+), 43 deletions(-) diff --git a/lab_7/lab_7.ipynb b/lab_7/lab_7.ipynb index da7c9ab..52c218a 100644 --- a/lab_7/lab_7.ipynb +++ b/lab_7/lab_7.ipynb @@ -19,7 +19,7 @@ }, { "cell_type": "code", - "execution_count": 33, + "execution_count": 1, "metadata": {}, "outputs": [], "source": [ @@ -44,7 +44,7 @@ }, { "cell_type": "code", - "execution_count": 34, + "execution_count": 2, "metadata": {}, "outputs": [], "source": [ @@ -73,7 +73,7 @@ }, { "cell_type": "code", - "execution_count": 35, + "execution_count": 3, "metadata": {}, "outputs": [ { @@ -215,33 +215,9 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 4, "metadata": {}, - "outputs": [ - { - "ename": "AttributeError", - "evalue": "'ControlSystemVisualizer' object has no attribute 'ctrl'", - "output_type": "error", - "traceback": [ - "\u001b[1;31m---------------------------------------------------------------------------\u001b[0m", - "\u001b[1;31mAttributeError\u001b[0m Traceback (most recent call last)", - "Cell \u001b[1;32mIn[36], line 22\u001b[0m\n\u001b[0;32m 19\u001b[0m rule19 \u001b[38;5;241m=\u001b[39m control\u001b[38;5;241m.\u001b[39mRule(heart_disease[\u001b[38;5;124m'\u001b[39m\u001b[38;5;124mhigh\u001b[39m\u001b[38;5;124m'\u001b[39m] \u001b[38;5;241m&\u001b[39m glucose[\u001b[38;5;124m'\u001b[39m\u001b[38;5;124mhight\u001b[39m\u001b[38;5;124m'\u001b[39m] \u001b[38;5;241m&\u001b[39m bmi[\u001b[38;5;124m'\u001b[39m\u001b[38;5;124mhight\u001b[39m\u001b[38;5;124m'\u001b[39m], stroke_risk[\u001b[38;5;124m'\u001b[39m\u001b[38;5;124mhigh\u001b[39m\u001b[38;5;124m'\u001b[39m])\n\u001b[0;32m 20\u001b[0m rule20 \u001b[38;5;241m=\u001b[39m control\u001b[38;5;241m.\u001b[39mRule(heart_disease[\u001b[38;5;124m'\u001b[39m\u001b[38;5;124mlow\u001b[39m\u001b[38;5;124m'\u001b[39m] \u001b[38;5;241m&\u001b[39m glucose[\u001b[38;5;124m'\u001b[39m\u001b[38;5;124mnormal\u001b[39m\u001b[38;5;124m'\u001b[39m] \u001b[38;5;241m&\u001b[39m bmi[\u001b[38;5;124m'\u001b[39m\u001b[38;5;124mnormal\u001b[39m\u001b[38;5;124m'\u001b[39m], stroke_risk[\u001b[38;5;124m'\u001b[39m\u001b[38;5;124mlow\u001b[39m\u001b[38;5;124m'\u001b[39m])\n\u001b[1;32m---> 22\u001b[0m \u001b[43mrule1\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mview\u001b[49m\u001b[43m(\u001b[49m\u001b[43m)\u001b[49m\n", - "File \u001b[1;32md:\\code\\mai\\labs\\AIM-PIbd-31-Bakalskaya-E-D\\lab_7\\.venv\\Lib\\site-packages\\skfuzzy\\control\\rule.py:313\u001b[0m, in \u001b[0;36mRule.view\u001b[1;34m(self)\u001b[0m\n\u001b[0;32m 309\u001b[0m \u001b[38;5;28;01mdef\u001b[39;00m\u001b[38;5;250m \u001b[39m\u001b[38;5;21mview\u001b[39m(\u001b[38;5;28mself\u001b[39m):\n\u001b[0;32m 310\u001b[0m \u001b[38;5;250m \u001b[39m\u001b[38;5;124;03m\"\"\"\u001b[39;00m\n\u001b[0;32m 311\u001b[0m \u001b[38;5;124;03m Show a visual representation of this Rule.\u001b[39;00m\n\u001b[0;32m 312\u001b[0m \u001b[38;5;124;03m \"\"\"\u001b[39;00m\n\u001b[1;32m--> 313\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[43mControlSystemVisualizer\u001b[49m\u001b[43m(\u001b[49m\u001b[38;5;28;43mself\u001b[39;49m\u001b[43m)\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mview\u001b[49m\u001b[43m(\u001b[49m\u001b[43m)\u001b[49m\n", - "File \u001b[1;32md:\\code\\mai\\labs\\AIM-PIbd-31-Bakalskaya-E-D\\lab_7\\.venv\\Lib\\site-packages\\skfuzzy\\control\\visualization.py:204\u001b[0m, in \u001b[0;36mControlSystemVisualizer.view\u001b[1;34m(self)\u001b[0m\n\u001b[0;32m 186\u001b[0m \u001b[38;5;28;01mdef\u001b[39;00m\u001b[38;5;250m \u001b[39m\u001b[38;5;21mview\u001b[39m(\u001b[38;5;28mself\u001b[39m):\n\u001b[0;32m 187\u001b[0m \u001b[38;5;250m \u001b[39m\u001b[38;5;124;03m\"\"\"\u001b[39;00m\n\u001b[0;32m 188\u001b[0m \u001b[38;5;124;03m View the visualization.\u001b[39;00m\n\u001b[0;32m 189\u001b[0m \n\u001b[1;32m (...)\u001b[0m\n\u001b[0;32m 202\u001b[0m \u001b[38;5;124;03m inline.\u001b[39;00m\n\u001b[0;32m 203\u001b[0m \u001b[38;5;124;03m \"\"\"\u001b[39;00m\n\u001b[1;32m--> 204\u001b[0m nx\u001b[38;5;241m.\u001b[39mdraw(\u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mctrl\u001b[49m\u001b[38;5;241m.\u001b[39mgraph, ax\u001b[38;5;241m=\u001b[39m\u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39max)\n\u001b[0;32m 205\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mfig, \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39max\n", - "\u001b[1;31mAttributeError\u001b[0m: 'ControlSystemVisualizer' object has no attribute 'ctrl'" - ] - }, - { - "data": { - "image/png": "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", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], + "outputs": [], "source": [ "rule1 = control.Rule(age['aged'] & hypertension['high'], stroke_risk['high'])\n", "rule2 = control.Rule(age['old'] & hypertension['high'], stroke_risk['high'])\n", @@ -267,25 +243,20 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 6, "metadata": {}, "outputs": [ { - "ename": "AttributeError", - "evalue": "'ControlSystemVisualizer' object has no attribute 'ctrl'", - "output_type": "error", - "traceback": [ - "\u001b[1;31m---------------------------------------------------------------------------\u001b[0m", - "\u001b[1;31mAttributeError\u001b[0m Traceback (most recent call last)", - "Cell \u001b[1;32mIn[37], line 25\u001b[0m\n\u001b[0;32m 1\u001b[0m stroke_ctrl \u001b[38;5;241m=\u001b[39m control\u001b[38;5;241m.\u001b[39mControlSystem([\n\u001b[0;32m 2\u001b[0m rule1, \n\u001b[0;32m 3\u001b[0m rule2, \n\u001b[1;32m (...)\u001b[0m\n\u001b[0;32m 21\u001b[0m rule20,\n\u001b[0;32m 22\u001b[0m ])\n\u001b[0;32m 24\u001b[0m stroke \u001b[38;5;241m=\u001b[39m control\u001b[38;5;241m.\u001b[39mControlSystemSimulation(stroke_ctrl)\n\u001b[1;32m---> 25\u001b[0m \u001b[43mstroke_ctrl\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mview\u001b[49m\u001b[43m(\u001b[49m\u001b[43m)\u001b[49m\n", - "File \u001b[1;32md:\\code\\mai\\labs\\AIM-PIbd-31-Bakalskaya-E-D\\lab_7\\.venv\\Lib\\site-packages\\skfuzzy\\control\\controlsystem.py:134\u001b[0m, in \u001b[0;36mControlSystem.view\u001b[1;34m(self)\u001b[0m\n\u001b[0;32m 130\u001b[0m \u001b[38;5;28;01mdef\u001b[39;00m\u001b[38;5;250m \u001b[39m\u001b[38;5;21mview\u001b[39m(\u001b[38;5;28mself\u001b[39m):\n\u001b[0;32m 131\u001b[0m \u001b[38;5;250m \u001b[39m\u001b[38;5;124;03m\"\"\"\u001b[39;00m\n\u001b[0;32m 132\u001b[0m \u001b[38;5;124;03m View a representation of the system NetworkX graph.\u001b[39;00m\n\u001b[0;32m 133\u001b[0m \u001b[38;5;124;03m \"\"\"\u001b[39;00m\n\u001b[1;32m--> 134\u001b[0m fig, ax \u001b[38;5;241m=\u001b[39m \u001b[43mControlSystemVisualizer\u001b[49m\u001b[43m(\u001b[49m\u001b[38;5;28;43mself\u001b[39;49m\u001b[43m)\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mview\u001b[49m\u001b[43m(\u001b[49m\u001b[43m)\u001b[49m\n\u001b[0;32m 135\u001b[0m fig\u001b[38;5;241m.\u001b[39mshow()\n", - "File \u001b[1;32md:\\code\\mai\\labs\\AIM-PIbd-31-Bakalskaya-E-D\\lab_7\\.venv\\Lib\\site-packages\\skfuzzy\\control\\visualization.py:204\u001b[0m, in \u001b[0;36mControlSystemVisualizer.view\u001b[1;34m(self)\u001b[0m\n\u001b[0;32m 186\u001b[0m \u001b[38;5;28;01mdef\u001b[39;00m\u001b[38;5;250m \u001b[39m\u001b[38;5;21mview\u001b[39m(\u001b[38;5;28mself\u001b[39m):\n\u001b[0;32m 187\u001b[0m \u001b[38;5;250m \u001b[39m\u001b[38;5;124;03m\"\"\"\u001b[39;00m\n\u001b[0;32m 188\u001b[0m \u001b[38;5;124;03m View the visualization.\u001b[39;00m\n\u001b[0;32m 189\u001b[0m \n\u001b[1;32m (...)\u001b[0m\n\u001b[0;32m 202\u001b[0m \u001b[38;5;124;03m inline.\u001b[39;00m\n\u001b[0;32m 203\u001b[0m \u001b[38;5;124;03m \"\"\"\u001b[39;00m\n\u001b[1;32m--> 204\u001b[0m nx\u001b[38;5;241m.\u001b[39mdraw(\u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mctrl\u001b[49m\u001b[38;5;241m.\u001b[39mgraph, ax\u001b[38;5;241m=\u001b[39m\u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39max)\n\u001b[0;32m 205\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mfig, \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39max\n", - "\u001b[1;31mAttributeError\u001b[0m: 'ControlSystemVisualizer' object has no attribute 'ctrl'" + "name": "stderr", + "output_type": "stream", + "text": [ + "d:\\code\\mai\\labs\\AIM-PIbd-31-Bakalskaya-E-D\\lab_7\\.venv\\Lib\\site-packages\\skfuzzy\\control\\controlsystem.py:135: UserWarning: FigureCanvasAgg is non-interactive, and thus cannot be shown\n", + " fig.show()\n" ] }, { "data": { - "image/png": "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", + "image/png": "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", "text/plain": [ "
" ] @@ -316,9 +287,10 @@ " rule18,\n", " rule19,\n", " rule20,\n", - " ])\n", + "])\n", "\n", - "stroke = control.ControlSystemSimulation(stroke_ctrl)" + "stroke = control.ControlSystemSimulation(stroke_ctrl)\n", + "stroke_ctrl.view()" ] }, { From 2ac48b6a210cab1304898258df01ba86398f6568 Mon Sep 17 00:00:00 2001 From: =?UTF-8?q?=D0=95=D0=BB=D0=B5=D0=BD=D0=B0=20=D0=91=D0=B0=D0=BA=D0=B0?= =?UTF-8?q?=D0=BB=D1=8C=D1=81=D0=BA=D0=B0=D1=8F?= Date: Sat, 1 Mar 2025 01:32:13 +0400 Subject: [PATCH 6/6] =?UTF-8?q?=D1=83=D1=84=20=D0=BB=D0=B0=D0=B1=D0=B0=201?= =?UTF-8?q?=20=D1=81=D0=B4=D0=B5=D0=BB=D0=B0=D0=BD=D0=B0=20=D1=87=D0=B5?= =?UTF-8?q?=D1=80=D0=B5=D0=B7=20=D0=BC=D0=B5=D1=81=D1=8F=D1=86=20=D0=BF?= =?UTF-8?q?=D0=BE=D1=81=D0=BB=D0=B5=20=D1=82=D0=BE=D0=B3=D0=BE,=20=D0=BA?= =?UTF-8?q?=D0=B0=D0=BA=20=D0=B5=D0=B5=20=D0=B4=D0=B0=D0=BB=D0=B8...?= MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit --- lab_7/lab_7.ipynb | 2456 +++++++++++++++++++++++++++++++++++++++++++-- 1 file changed, 2384 insertions(+), 72 deletions(-) diff --git a/lab_7/lab_7.ipynb b/lab_7/lab_7.ipynb index 52c218a..f67a866 100644 --- a/lab_7/lab_7.ipynb +++ b/lab_7/lab_7.ipynb @@ -19,9 +19,48 @@ }, { "cell_type": "code", - "execution_count": 1, + "execution_count": 140, "metadata": {}, - "outputs": [], + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "RangeIndex: 5110 entries, 0 to 5109\n", + "Data columns (total 12 columns):\n", + " # Column Non-Null Count Dtype \n", + "--- ------ -------------- ----- \n", + " 0 id 5110 non-null int64 \n", + " 1 gender 5110 non-null object \n", + " 2 age 5110 non-null float64\n", + " 3 hypertension 5110 non-null int64 \n", + " 4 heart_disease 5110 non-null int64 \n", + " 5 ever_married 5110 non-null object \n", + " 6 work_type 5110 non-null object \n", + " 7 Residence_type 5110 non-null object \n", + " 8 avg_glucose_level 5110 non-null float64\n", + " 9 bmi 4909 non-null float64\n", + " 10 smoking_status 5110 non-null object \n", + " 11 stroke 5110 non-null int64 \n", + "dtypes: float64(3), int64(4), object(5)\n", + "memory usage: 479.2+ KB\n", + "id 0\n", + "gender 0\n", + "age 0\n", + "hypertension 0\n", + "heart_disease 0\n", + "ever_married 0\n", + "work_type 0\n", + "Residence_type 0\n", + "avg_glucose_level 0\n", + "bmi 0\n", + "smoking_status 0\n", + "stroke 0\n", + "dtype: int64\n" + ] + } + ], "source": [ "import pandas as pd\n", "import skfuzzy.control as control\n", @@ -30,7 +69,11 @@ "\n", "\n", "# считаем данные и поределим входные и выходные переменные\n", - "data = pd.read_csv(\"./csv/option4.csv\")" + "data = pd.read_csv(\"./csv/option4.csv\")\n", + "data.info()\n", + "\n", + "data['bmi'] = data['bmi'].fillna(data['bmi'].mean())\n", + "print(data.isnull().sum())\n" ] }, { @@ -44,15 +87,15 @@ }, { "cell_type": "code", - "execution_count": 2, + "execution_count": 141, "metadata": {}, "outputs": [], "source": [ "age = control.Antecedent(np.arange(0, 101, 1), 'age') # возраст от 0 до 100 с шагом 1 год и т.д.\n", "glucose = control.Antecedent(np.arange(50, 301, 1), 'glucose')\n", "bmi = control.Antecedent(np.arange(10, 50, 0.1), 'bmi')\n", - "hypertension = control.Antecedent(np.arange(0, 2, 1), 'hypertension')\n", - "heart_disease = control.Antecedent(np.arange(0, 2, 1), 'heart_disease')\n", + "hypertension = control.Antecedent(np.arange(0, 2, 0.1), 'hypertension')\n", + "heart_disease = control.Antecedent(np.arange(0, 2, 0.1), 'heart_disease')\n", "\n", "# а теперь выходная переменная (Consequent)\n", "stroke_risk = control.Consequent(np.arange(0, 1.1, 0.1), 'stroke_risk')" @@ -68,12 +111,12 @@ "\n", "

\n", "теперь самое время определить нечеткие переменные, которые сложатся... в лингвистические\n", - "

\n" + "

" ] }, { "cell_type": "code", - "execution_count": 3, + "execution_count": 142, "metadata": {}, "outputs": [ { @@ -96,7 +139,7 @@ }, { "data": { - "image/png": "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", + "image/png": "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", "text/plain": [ "
" ] @@ -106,7 +149,7 @@ }, { "data": { - "image/png": "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", + "image/png": "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", "text/plain": [ "
" ] @@ -116,7 +159,7 @@ }, { "data": { - "image/png": "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", + "image/png": "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", "text/plain": [ "
" ] @@ -126,7 +169,7 @@ }, { "data": { - "image/png": "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", + "image/png": "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", "text/plain": [ "
" ] @@ -157,12 +200,12 @@ "# сахар\n", "glucose['low'] = fuzzy.zmf(glucose.universe, 50, 80)\n", "glucose['normal'] = fuzzy.trapmf(glucose.universe, [70, 80, 90, 100])\n", - "glucose['hight'] = fuzzy.smf(glucose.universe, 100, 300)\n", + "glucose['high'] = fuzzy.smf(glucose.universe, 100, 300)\n", "\n", "# ИМТ\n", "bmi['low'] = fuzzy.zmf(bmi.universe, 0, 19)\n", "bmi['normal'] = fuzzy.trimf(bmi.universe, [18, 20, 25])\n", - "bmi['hight'] = fuzzy.smf(bmi.universe, 25, 50)\n", + "bmi['high'] = fuzzy.smf(bmi.universe, 25, 50)\n", "\n", "# гипертония\n", "hypertension['low'] = fuzzy.zmf(hypertension.universe, 0, 0.6)\n", @@ -209,41 +252,54 @@ "\n", "\n", "

\n", - " ну.... с написанием правил мне чат гпт помог, я не медик, поэтому... спасибо чату\n", + " ну.... с написанием правил мне чат гпт помог, ну а что, у меня 5 входных переменных... я не знала, на что наткнусь, когда дойду до этого момента, поэтому... спасибо чату\n", "

" ] }, { "cell_type": "code", - "execution_count": 4, + "execution_count": 143, "metadata": {}, "outputs": [], "source": [ - "rule1 = control.Rule(age['aged'] & hypertension['high'], stroke_risk['high'])\n", - "rule2 = control.Rule(age['old'] & hypertension['high'], stroke_risk['high'])\n", - "rule3 = control.Rule(age['middle'] & hypertension['high'] & glucose['hight'], stroke_risk['high'])\n", - "rule4 = control.Rule(age['middle'] & hypertension['high'] & glucose['normal'], stroke_risk['medium'])\n", - "rule5 = control.Rule(age['young'] & hypertension['high'] & glucose['low'], stroke_risk['medium'])\n", - "rule6 = control.Rule(age['young'] & hypertension['low'] & glucose['normal'], stroke_risk['low'])\n", - "rule7 = control.Rule(age['aged'] & glucose['hight'] & bmi['hight'], stroke_risk['high'])\n", - "rule8 = control.Rule(age['old'] & glucose['normal'] & bmi['hight'], stroke_risk['medium'])\n", - "rule9 = control.Rule(age['old'] & glucose['low'] & bmi['low'], stroke_risk['low'])\n", - "rule10 = control.Rule(age['middle'] & bmi['hight'] & glucose['hight'], stroke_risk['high'])\n", - "rule11 = control.Rule(age['young'] & bmi['hight'] & glucose['hight'], stroke_risk['medium'])\n", - "rule12 = control.Rule(age['young'] & bmi['normal'] & glucose['normal'], stroke_risk['low'])\n", - "rule13 = control.Rule(age['aged'] & heart_disease['high'], stroke_risk['high'])\n", - "rule14 = control.Rule(age['old'] & heart_disease['high'], stroke_risk['high'])\n", - "rule15 = control.Rule(age['middle'] & heart_disease['high'], stroke_risk['medium'])\n", - "rule16 = control.Rule(age['young'] & heart_disease['high'], stroke_risk['medium'])\n", - "rule17 = control.Rule(age['aged'] & hypertension['high'] & glucose['hight'] & bmi['hight'], stroke_risk['high'])\n", - "rule18 = control.Rule(age['middle'] & hypertension['low'] & glucose['low'] & bmi['low'], stroke_risk['low'])\n", - "rule19 = control.Rule(heart_disease['high'] & glucose['hight'] & bmi['hight'], stroke_risk['high'])\n", - "rule20 = control.Rule(heart_disease['low'] & glucose['normal'] & bmi['normal'], stroke_risk['low'])\n" + "rules = []\n", + "\n", + "ages = ['young', 'middle', 'old', 'aged']\n", + "hypertension_levels = ['low', 'high']\n", + "glucose_levels = ['low', 'normal', 'high']\n", + "bmi_levels = ['low', 'normal', 'high']\n", + "heart_disease_levels = ['low', 'high']\n", + "\n", + "for ag in ages:\n", + " for hl in hypertension_levels:\n", + " for gl in glucose_levels:\n", + " for bm in bmi_levels:\n", + " for hd in heart_disease_levels:\n", + " # Определяем уровень риска\n", + " if ag in ['aged', 'old'] and hl == 'high' and gl == 'high' and bm == 'high' and hd == 'high':\n", + " risk = 'high'\n", + " elif ag in ['middle', 'old'] and hl == 'high' and gl == 'high' and bm in ['normal', 'high']:\n", + " risk = 'high'\n", + " elif ag == 'young' and hl == 'low' and gl == 'low' and bm == 'low' and hd == 'low':\n", + " risk = 'low'\n", + " elif gl == 'normal' and bm == 'normal' and hd == 'low':\n", + " risk = 'low'\n", + " elif ag == 'middle' and hl == 'low' and gl == 'low' and bm == 'low':\n", + " risk = 'low'\n", + " else:\n", + " risk = 'medium'\n", + " \n", + " # Создаем правило\n", + " rule = control.Rule(\n", + " age[ag] & hypertension[hl] & glucose[gl] & bmi[bm] & heart_disease[hd],\n", + " stroke_risk[risk]\n", + " )\n", + " rules.append(rule)\n" ] }, { "cell_type": "code", - "execution_count": 6, + "execution_count": 144, "metadata": {}, "outputs": [ { @@ -256,7 +312,7 @@ }, { "data": { - "image/png": "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", + "image/png": "iVBORw0KGgoAAAANSUhEUgAAAgMAAAGFCAYAAABg2vAPAAAAOnRFWHRTb2Z0d2FyZQBNYXRwbG90bGliIHZlcnNpb24zLjEwLjAsIGh0dHBzOi8vbWF0cGxvdGxpYi5vcmcvlHJYcgAAAAlwSFlzAAAPYQAAD2EBqD+naQAAv05JREFUeJztnQd4FOX2xs+m0wOB0HsTEBBEERT4o4AFxd57r3jt13YV9dq99opd7F0UVEQRRASlCIIiRSAgPQmd9P0/vy9M3Cy7m2wys5ndPe/z5EmyZWZ2dnfO+53znvd4vF6vVxQKhUKhUMQtEmr6ABQKhUKhUNQslAwoFAqFQhHnUDKgUCgUCkWcQ8mAQqFQKBRxDiUDCoVCoVDEOZQMKBQKhUIR51AyoFAoFApFnEPJgEKhUCgUcQ4lAwqFQqFQxDmUDCgUCoVCEedQMqBQKBQKRZxDyYBCoVAoFHEOJQMKhUKhUMQ5lAwoFAqFQhHnUDKgUCgUCkWcQ8mAQqFQKBRxDiUDCoVCoVDEOZQMKBQKhUIR51AyoFAoFApFnEPJgEKhUCgUcQ4lAwqFQqFQxDmUDCgUCoVCEedQMqBQKBQKRZxDyYBCoVAoFHEOJQMKhUKhUMQ5lAwoFAqFQhHnUDKgUCgUCkWcI6mmD0ChUMQOduYXycrsnVJQVCIpSQnSLqOO1EnVy4xC4Xbot1ShUFQLSzdsl7dmZcmUPzdKVs4u8frc5xGRNo1qy9CumXJm/zbSuWm9GjxShUIRDB6v1+v73VUoFIpKrfJX5+ySWz/5TX5YtlkSEzxSXBL8UmLdP6hTY7nv+J7SulHtCL0KhUJRGSgZUCgUYa/yG9ZJlme/Xy5FJd6QJCAQKUhK8Mhdo3rIaQe0ETdCSx2KeISSAYVCEdYq3+MRseOqccOILnLV0M6uCN5a6lDEO5QMKBRxjnd/yZI7xy8Ke5VvBx48oaecWoUMgV3BW0sdCkUplAwoFFEGO9PYT09ZKo9MWiI1hdSkBJl87ZBKB1Y7g3dVSVA0lDoUinChZEChiAI4kcYmGN788W9SkyCw9m/XSG4b2a1CcmNn8LaLBNlV6lAoahpKBhQKF8OpNDbbHfbYVMkvKhG3IRC5sTN4N66baisJqmqpQ6FwE5QMKBQuhZNp7LNfniUz/sqOuEYgHFjkpnOTurJ00w7btsu54ZzWVKlDoXAjlAwoFC6Ek2lsSg7DH59W7W0r/iEtAztkyLgL+9uyPW1tVNQE9BOmULgwI2CXqI/tNKmbWi6NjfagopKDovLgPFLGWbZxu3TKrFrbobY2KmoamhlQKFwEJ2r5/mnsIQ9PkVU5u2zbvkIkwSMysmdzeeCEXmGt4rW1UeEWKBlQKFwEJ2r5vmnsHflF0nPM1+VWngr7EM4qXlsbFW6CkgGFwiVwupY/+drBJuMw8qnpju1DUblVvLY2KtyGhJo+AIVCUb6W7wTY7pszs4woTeE8rJU+WR7KPmQBnNKEvOezbYWiqlAyoFC4BIjHnBL1sd0pSzYadboicuC8k43B14BsABoBSgN24o7xi8x2FYrqQK8MCoULQC0fFbmTyMreZToLnMk9KCqzir/g9V9s9TgAbA8RokJRHSgZUCgcAL3ii9ZulXlZueY3/4fCquydjov62P6mHflG4KaoGSzduMP27I9va6NCUVWoz4BCYROq0yseqVo+++EY3pi5UtRmIHZgaULGjOpR04eiiFIoGVAoqonK9IpzC73942atktd+WrmXyjxStXyzH49XiUCMwdKEjJHyZEDdDBWVhX4qFIpqwLdXHFSUAvZXmVu94lykyR44GaPZ/uyVufLajFUO7kVRU0ATQvBfu2W3uhkqwob6DCgUVYTdveJ97/lGcnYViFNokZ4m2TsKXDmpUGEP+rROl3mrt6iboSJsKBlQKKqYEbBzDO7h3ZvK179vEKfAxb9pvVTZsD1fZxLEMLCpCOftVTdDhQUlAwqFC+YHRDucLnEonIe6GcY3tLVQoQgTiAXt7hV3Eqz+WjRIc8zdULwl0jmzjjROLRFdW0Qv1M0wvqFkQKEIs32QroFoSrWTBmbp7tgxexJk8dLl0nzOWCl46ypJXTXT3KzEIPqgbobxCyUDCoVL5gc4haLZHxiFuZPw1G8qE76eLAXNe0l+24NKb/NE13lSqJthPEPJgELhkvkBTiB36uuyeu73e6r6zoHAn9p6X6kz+DzHMwINE/LM72gjZdEAdTOMXygZUChcND/ATpTs2iLbfvpAPInJEdlfg4NPF09CoqMZgfMGtJXcxTMlpWhnBaTMS53CseOIBzdDRXxByYBCUUlEYn6AnfDUaiCe5DTxFhdGZH9pLbuKJ9EZH7PkRI90zqwrr/20SrydBklBUp3gDzYkAJ2EZg6q42aoiC8oGVAoKolIzQ+wC6zQkxo2l6LcdY6n7tm+t6TYsW0XFhbJX5t2mP/JPoSEkgDb3AwV8QMlAwpFJRFNWgELlAgSazcQb1G+s/vxFlccpKu6bY9HvJ4EKY6+0x+14FQz00ARP9DZBApFGJMIow21OvST+ged6KhugBVFiccZImBBOxMij+Ubd0iPFg1q+jAUEYI6ECoUVZxE6Hbw1Tar6j2/FYpwobML4gdKBhSKEJMIo5EERBLe4iIp2rhCkpurjW0sQmcXxA9UM6BQ+E0iZAARcweimQgYju84zy8VDeb+8JbD+1HUFPgO8F3gO8F3QxG7UM2AQuGTEbBjJLEbEJmygEdyv3le8lYv1FJEHIDvRv20ZNm/bUPTWZOSlCDtMupInVQNI7EAfRcVij0aAUoDisrjmDZemZW6RX4pzJOiLeskuWGLmj4kRQRmF/gC+temUW0Z2jVTzuzfRjo3rVdjx6aoHlQzoFCIyNkvz5IZf2VHdWkgEjBr/5Ii2fzVM7JjwTfSuHFj2bx5szQcdonU6zvSsfZChbthiWxVcBi9UM2AIu4RjZMIawrFhXmS/8l/DBEAEAGwY96XSgTiGNZ3B0I97LGppuSmiC4oGVDEPaJxEmFQOJzo8ySlyvqVewvJCrNXy+4Vc013gSJ+oYLD6IWSAUXcAZvVRWu3yrysXPP728UbYqdzwGERn2VxHAg5Xz0jnqia3qBwWnD4nmYIogYqIFTEpZNgLIWsSKv4fd0MGYQEOeC2BCmRndPHSZ0hF0T0eBTuFhwO7NhYNQRRABUQKmIaseAk6DZs/PheSWvTU2p17CdJ6c3LkREuJ7UTvbK7RJOOilJh4cAOGTLuwv41fSiKCqBkQBGzUCdBBy2OS0IPJoIf6JVFYWHytYOlU6a2HboZSt8VMYlYcRJ0KyrqHNiLCCgziOvswJszVTvgdigZUMQcYslJ0E2olsvgnoFJNQ43HEOcATI+ZcnGmj4MRQVQMqCIKaiToHuFijVtV5yc6JGOiZuleMv6ve6LOFGJM1KSlb3LdPEo3AvtJlDEFBALohFQKPzx32P3lZ51dkiPHj2kdv2GUpiWLt169JQlq9ZK85P/I8XehAgRFq/jLaBuA9/Ildk7pUeLBjV9KIog0MyAImagToKKYCv+5D++lD4N8qR79+7SsmVL2bUtVwo3rpBF0yZIgwOOlRLxRDBzEV9EwALDjRTuhWYGFDHnJKhkQAGMG6K3RLInPWfsk7t9/pz85z//kQ0bNpQ9JiG9haS17xOpI4pbIgCYcqhwL/TdUcQMMBRSImAfXCH4qwpKis2vpJwVsvODm8vmKJSUlMhdd90lRUX/1K7r9jmSOxw/JJwZo/Z82oTZq3Jq+hAUIaCZAUVMYEd+kXEWVNiE6nQO1BAItogDd/81R7bN/UIStm+UgoKCkM/BOEkSnF8TeTcuFWnSWeIZd47/XbbnFclVQ+P7PLgVSgYUMYFV2TtjymK4pmCZCUVbQrto60ZZ+9IV4i3M2+s+Y5IUYFXuSallHBSdxudXHizbtu0rZ45bKPEOWn6b1E2VUw9oU9OHovCDlgkUMQEVJ1UPBP7iretl+9wJsvGj/0ZVVgACs2vpTElJCEwHg6Xnk9KbReR1Lt24Q9bn6Xhn33kFtAAr3AXNDChiAjUpTjL14KhaR/vA65UPLxso3ZrXl/777ycpu3fLmt3RdVkgk7F93kQpys8P63mptepIJHDdB/OlRgAJciGpo/WXFmCdV+AuaGZAERNol1En8uHY65Wi3HVSuHWTWZ1GJQp3S4NayVI7JVG2bNkiRxxxhHiLCyVaYK36a3cZWOFjMzIyJDExUdLS0sz/qcmxvVqHoroRiHxpAV62cXtNH4rCB9G1BFAogqBOapK0aVRbVjmYfqQuvfGjeyQhKUWkpEgKsv+WpPpNpMXFzzm2zyZ1U2TzjgLHLuve5DQZ/vg0yVsxT7J3FMmzzz5rxhJXy3o4grCOseGQc6RkZ25Z54A/Tj/9dPnwww/lpptuktatW8sVV1whOav+lDpR8jqrAo8nwfXzCsaM6lHTh6LYA/d+WhSKMDG0a6a5yDiFpPqNJbVZZ8lf+6fkr19uxGqlrWnFjn05D+7U2NH1nRUwUtv0lOYXPSt1e40wr6toyzqJJkBeGg6/TJIaNC13+3777Wd+v/vuu9K2bVu54447pFOnTqXPKcwLaE2scB46r8B9UDKgiBmc2b+Nsz4DngTJOOpqqT/gFL/WNGfSzUgipy5cJYd0zHCMcFjwJCaJJyml7PXtXj7bsdKH1+rrt7HvntU92oFGR1xZ7vbVq1fv2ZVXmjVrZkoEmzZtMre1adPG0depCA2dV+AuKBlQxAw6N60ngzo1djQ7YKWk6/YaHpHWtJzCJJnz0q0RMa0pl3LftbXCMcVV3o/V129zeh5CU6t9X0nKaFV2W926dc1vtALTp0+XL7/8UjZv3mxuO//88yU5a5Zjr1NRuXkFCndAyYAipnDf8T0lyWEyAJqOvFrSWu/reL2Z7S9fsVI2f/VsxGrbkI7MoWdLY9lq/6q5pFgapZa2AzoBtlu/79Fy8sknm/9XrVplfhcXF0tCQoKce+65snbtWnNbixYtZMLbL8nuFXM1O1BD0JZg90DJgCKm0LpRbbkrAqKkYq9X9jvrFokEatetLzsWTJLcqW+U3hCBDEGx1yPt27aTtJRk2zISbId5ARs3bnQw65AozfseKu+9956kpqaW3Q4RaNCggSkRPPXUU+a2vNR0+fzvNKndtL0pASkij4/n/V3Th6DYA/0GKGIOpx3QRq4+tFQk5hS8kiBr81MkEvj6ywly2mmnybaf3pfsiU9KSVGB4ytZtBe/rMqVK/+vo20ZCbaT893LpgPDSez01Jbflyw32QBrvyA3N1eaNm0qBcn1JPPUu+XRxXVk3MyV4q3dMGY7CtyOcTNXyXu/ZNX0YSiUDChibYTxmPGLZMjDU+Sp75Y5v0NvJAbciOzbtqm88847MmPGDEnP+V3WvXSF5K1aUHoIDh4D1ZacnYVy9f+137OvqmUIrOft/Okdyf/7D8eNcNjbJdffJs2bl+o56tWrZ4YUJScnS0GrfqZrIq1NL3NfsTtb8eMK6kjoDigZUEQ9uJCc/fIs0y8/btYq4zUQkWu8J8FxfULzeknGQwEMGDBA/vrrL7ntmssk+8MxsvbFy6Ukf7dj+6Yx45NZS+TaEd2kX8mf4i0qCL+rwVtinpc98QnZPPUt8SQmSyQwe+6v8sorr5jWwm3btpnbah9wgtQffrnpmkBsqHCXI6GiZqFkQBHVePeXLBn22FSZ8Ve2+T/SI4y5kCU6tNKlFLB4ysfSo0cPue222+SXX34xqvgxY8bIkiVLpHu75pKQWlucxJbiZBl1wsly/0XHyKbXrpbdq0qtdSssU+y5P2/lfMl967oyM6BIuRv267ufDBs2TC677DLzP/4J6YPPNn9rScBdUEdCd8Djjfch24qoxdNTlpopaLGMtS9dLim7c2T37t0m1Z2SkmJU8KNGjZJzr7lNThj7i+PHsO29WyRddkjfvn3lo48+koz2PaT54FMkN615aWulT3D17rFoTsleKmu+f0eKsteU2xbuhq2v+8DRgMwx5L54vsyf/bPUrl1bWnXtbUoDCcloPJQIuBG0A5/dv606EtYgNDOgiNqMgFuIQMG6pbZ/kag+0PJWuHm17Ny50xABs6+CAlm5cqU8+eSTMmzEETbvNcixJKdIenq6fPbZZ+b/3FV/yIGJq+TvFy6RAX9/KBNGHyKH7PpJ1r4yWlY/erJsfOUKWfXxI3sRAVCn2+A9VX3nkJ5YIBn168qZZ55p5hF0OO22Pd0LSgTcCnUkrHkoGVBEpUbgzvGLxC3I/eEtKSrMty/Ieb1SXJAvvfN/D/qQfffdV8464zSJBLZtyZHFixfLoEGDytr03nijtM1xwmcfS9OUQnnzif9Kz1YNSy1+i4uNvsEfOBvicOhkUKZ80S51l7z99tvy888/y3V3PSz5DTuoRiAKoI6ENQslA4qoA2IjavWugNcr+asXSu43L9gX5Dwe2f3XHPnm03eDPuSGG26Q+2651vFVNq9o0H77mDLFlClTTHq/qKjIBHz0C6Tk0TD4zgHgtoULF5bbDjV7nA1LX55zZIAMwPcv3mNKKXfeeae8NWuVJLh0ep+iPNSRsGahZEARde2DiI0iLRQMhraN68hN1/3LmALt/HOGbdut3XWgsTwOhvPOO0+6dmwn9TxkJJxDelKRTP5qgpx99tllgT4pqXSVDSEgQ/H888/LokWLZNKkSWX3WQp+wPCghsMvddxOGUMjSiu71v9lHAivv/56adj9ECnR8kDUQB0Jaw5KBhRRhbdmZTk+e6Cy4Dh6N0mWVq1ayajTz5daHfa31a0v0BQ+gOdA/fr1ja3u379MctTad9XMiXLcccfJww8/bBz8AJkBjo9ywcyZM6VWrVpy+eWXy5o1a6Rnz55y+OGHl9sOw4NYsTstGuR4c756xhwfnRfHHH+SFNVq6Ng+FfYjJUlDUk1Bz7wiqjDlz42uyQpwHM9df7qMHj1aZpa0tzXgBZvCd8kllxg3wi1btsi9994ruxZMctTaN3/RZDPghwxAXl6ecfCrU6dOeTOhnTvlhx9+MH+zIn/wwQfLtpGc0doMD3K6Zs/5yv3meSnausH8TQnjh18XO7pPhf1ol1H62VJEHkoGFFGDHflFkuUSpzKyAkxITM3LdSzgBZrCRzcBnQUEvFtvvVUWzJ0tJbvt789mSmJB1gLJ37jK1N/xOsjPz5euXbuWPQYyADHwzYZQJujdu7c0bFi6Iq/b50hHrZOtfedOff0fLwMEmMXFETM4UtgDaPTnC0qHSCkiDyUDiqjBquyd7pCCkSL3iDTb+od8Ofk7ST/gGEdT9fX6HGX+btKkibz22msyfPhwsxqnvfKY53+WhDR7V1MmmBYWyKYJT5igihhw6tSp5j4yABASQA8/oFxg4aabbjKZC4gK9r+1Oh7g+Ijgc/ZJlEOb7m1mFCmDI4U94Lt988e/Gf8QReShpkOKqMG8rFw5/jn7RHp2wHx9SoodTYMXb10va567yKS+SdOjFeg46kop6n6kY/vM/epp2fbrVwHv4zisIUAQgS5dupjWQwyRLKKQmZkpudt3SYur33F0FgHnf+0Tp8k7414zJMQ6rkgaHLF967fCHjx4Qk859YA25W6j7ZBuA0SGaAsoKVhW3YrqQ8+kImrgRnGRCQAO18MTGzQ1gc1bXCAbNmyQNkNPc4QIWAGNlDtEgEBvmR35AzfCuXPnmvsR7AGIAGWCtm3byvLlyyU5k9HAzgZIow9IbyannnqqtGnTxhgylb2ewjwp2rJOkhu2cGz/3m0bJOfH9023BJ8Dp7Mg8TS8aGDHxpJXWGxEw2iFKBH6rlz5ZLVpVFuGds2UM/u3kc5N69XgEUc/lAwoogasBLgAxF8qyyO1MttIk6R82bSrRKTvyaZUYWegpRxBa17ON8+X1d6DEQFW3xABugjwH1i2bFnZdEDKFxCBhx56SB54MbhPgp1AG8Cx+hIBC7uXz5akviMdCdKcsx1LfzZtpa1SdsruHseJNO9mbldSUD0UFZfIMU9Ply27C40+J5BomFsYSsZwstd+Wmk0PPcd31NaN3J2Xkeswn1LLYUiCEgJshKIR/Tq01e6d+8uTY+5pjQTYfOKuyRvpxmNbBGBQEhNTS37+9BDD5VrrrmmnKAQkkBQJjtwyy23yM033iCRQHFhvtFT+ANx4455XzrabbF93kTz9+LZP8rLZ/eRDe/eLsXbS4dmaQW26mC0NETA/F1B95B1P8PKGFqGlkYRPpQMKKIKpATd4jMQSQw44AD56feVUpLZ1ZHglli7vkhSaPU9PgNkA8CsWbPkhRdeMAOTLJAlAJQNPHUbyyPf/SVOwxqMlJubW07ICMhSFOf+LSV/LzJZDzvBRzBv5bxy8xdOuPERaXLifySxbiPzv2oIIgtIQX5RiYoQqwglA4qoArVBJ30GvEUF7lvReb3ywavPiqfzoIh0LQQD3gZWwCfQduvWzZgR/XOYXtlnn32M9XCLi56VtNb7itOACKANICMRqKxBi+O68Y+WlkFsNIRKTkyQoXXWl5u70PDwq8STlKJzEFwAhpi9pxmCsKBkQBFVQCREbdDu7ECiR6R41zZyv65b0RVtWS9rVi6XWh37OZryrtWhX8jHWJ0CVnZgxowZZe2FdBhw+7pGvUuHEUUgKBLgd/812/xtGSEFOuak/K1mdoSdhlB3j+ohj95zW0TnLijCFyEy1ExROSgZUEQdEAkl2UwGvCUlJlXutlWdWdGuXSielFqSlN7c0X0lNWxuuhYCoW7duuUCLDV6Vsi7du2S1q1by4gRIySx8yBJH3x2xIKib81++/btpsPBwhlnnFF2O2ZJ3uU/yvbpb5nbqpohsJ63Zdo46ZqcY8omKY2aR2TugiJ8MMyMoWaKykHJgCLqgFr4rlE9bN3mgR0aO+qUV52At3HGR9K8c0/HAyzbhxAEwo4dO8r0AQgFN23aVHbf6tWrZcOOIsk4/LKIBUVrKJFvzX7evHnmd8uWLeX11183rYbmsUyWzM+XnOnvSPbEJ0tLQWG+1+yP52VPfEK2znhP+vTpY5wZ04df7vjcBUXVQDmRoWbLNtrv0BmLUDKgiFpUv1RQGrj6Ja+VdVvzXNcOhiVw7a2rTMDLzt0amX0mJpfLAvhi4sSJ0q9fv7LJhBYwG/q75WDxSmRKLL5DiayShXW71fVw2223GZLCTAVgeSHQBkjXROOiPYr/CkiBdX/++qUiXz1YrttiV1L9iMxdUFTvGvHmTNUOVAZKBhRRB5TCKIarKyRMSkiQQalZ8vGD/5JVOe6ao25ZAi99+27zf0lRab3eaQw6eIDZ98233yl1WnWVlOZdjHkQ5QMC6tKlS2X27Nnlgr63XlNJa9cnYkHRdyiRJWj0RVZWlvE5ePTRR+Wkk04qu51Jj4Dn5Xx8t6x98XLJX/iNFOas3SujYQgHJkx7CGJay27iOfo/0uLSsdJo2KWS1rSd43MXwoGWKQKDa8SUJRtr+jCiAmpHrIgq0EMMEbALD5zQUya/94pMTj5A3AZS0tZKNFLWurL0BynO7FLqeugb8Gnh27LOmPikrZktl5x6jNx1112mnS/90Iulbt+jHM+slHNI/OmDkI8dMGCAXHDBBXLxxRfLddddJ6+88orphvB3VWR7kISdSQ0k48jRktaqYtMg635PSZF4E9yTFVBL5MDgjCwcc7haF1cAJQOKqAHKYExF6CW2C6lJCfL4qfvJ5W/NFXeAr2PggMeq1ElrXbP3SgZC6vWk6Vllt7r8ZUMeHD0uavYlxbJz2quS88sXlXoOgfHyyy+Xp59+Wn7//Xfp2bNnwBW06QYYfmlpgA8ju+Ga4OstKTWk9PNZUPyDCaMPkR4tGtT0Ybga+ulRRA1QBqMQthNsb+w0581xKtvemJqUKMPrbwi48mVV7lhaek+QrGh1X5Y2b9NLml/0rDTod4wk1M8Up5G3eqGp9Rf9OS2sYM3wIgI2I5h79eq112PwB6AVsir+AG4gAobceBIcnwER7WC4kSI0lAwoogJLN2w3ymC7DYfY3rzVW6QmYQX43avmy0098uXFWy6QDh067PU4J611ww0mBE4CaPqwSyMSFLd+/6rJQmzbtq1Sj7esk7FNXrRoUZkXgq9LYSz4A1jHHa3HH89DztwGPUOKqACTy5yyIWa79RyuJ7LqDyRSQ7y2fe4E+fvFy2Td27fJRacfb1z8jjvuuL22UZi9WvJX/Wq7tW5VEdEAFGZtvrCw0BgRIXqkPHDKKafIggULyvQCSQ2aRrU/gHXc0Xr8kYRnz5AzRWiookIRFWCEqVM2xGa7TCIOMh3NjpX/lrkTjQ7AGPskJou3uLDMStcCq9bDDjtMJk+eLH/++WfAbW2e+JS0uPg599SrI4RwuykI+pzPc845R9544w354IPyZZdGR1wZtf4Ahgx6EsTrLXFdO6wb0SajtooHKwHNDChcjx35RWaWuZPYnlfkGNnggr1t3gQT+As3rpCCdUvMb18i0Lx1O0ls3FaydibImxO+l3adu5YLVNbfpi1u0vNRGcSqO4woHEAEcB9866239rIqTs1sF5X+AGWeB+uWGLGgEoGKAcEf2sV5TUssILq+DYq4xKrsnXvsgZxFn9bpsuDvrfaSgpJiKfr7dzl5xCB55513yt2VnNHa9KozcwCr4RYej0APbp22XeTER6RTwXbZvOB78SyfLsf+X3/jqseKF+OchDrppfVuIyCLbWLgn0GpDKxyAG6JDFXyxaDzb5ElFXRNuJEMMYcB+2UGSqW2cGZ6ZayB7/JZB5U6USpCQzMDihrHzvwiWbR2q8zLyjW/+b8mlMCXDu5g68wDLuIlxUWy4YvH5fPPP5fu3buX1aszT73bpPvr9R1p2gX3Xul7pCClvrm/3qkPyeTifeTuR58tu3fbT+8ba13S5+F3GERPndl3GFEoDBs2TAYOHLjX7f5jjcHirYlRE0hNK6fHI0Vb18v2Xz4zbpS1Ox0YNcdf01kBhpp1yqxX04cSFdDMgKLGugMQBaIFoATgG54Ii20a1ZahXTPNyOJIKYG9RYWSkeqVtTbp87iI5+xxytshYnrdfXvaw2nl8zTtKi+sLpaG+4+UFnkrjUKeDEHeqvmm/k3auyKPAA/96LShmTMcHfAdRhQK6CwwFmKSYqAMQVpamuTl5ZmBTwkOeyLYCf9Wztwprzju6RArgNgz1ExROajpkCLixkH4BdAmWJFgz7p/YIcM+emvbGfXs6ziiwrCNp4Jti1S96Paijx1+dGGFPA1MzPvh5xTZfHfPw58b0jtFdNk/fr15UoO6f2OkeS2+5WKFP3cA4u3rJP2tQskK6Vt1OgNEMrlZS2Qje/dUennNGzYUHJzc/e6HVviDz/80Fgrt7jgKYlGxJtotLp48ISecuoBWiKoLJQMKCJqJXzn+EXG6CecurxTKn8nLrYcK0EsZ9JzMun5u4yA7YUXXpDa+w6T+sMvd8Sq2Be1a9eW3YUlktyohWnHo2uhV/vm0rFtK/n8h3mSee5jEg0wl6WiAlmL0dDWDbZtl1kLzc991LbtKdyJG0d0lSuHdqrpw4gqaJlAEbHhQo9MWlKl50aCCAA7Vl0dGteR58/YT86Ycq+ceuqp8uOPP8rXP86WvEMvtG1lx3YaDr9M8lYt2CtQ7tpV2nVRt3CL5OTkmL/XJeXLnFkzpH77vR343ArOU/aeEoudgBwpYhudM+sqEagCVECoiEhGoKpEINqA/iElOVnee+89MxjniiuukK5njhGvx76edraTkJgkbU66OehjLCIAmOzH+OEzTj1FIoWqJhyt5+HJECjzEQr+o5WB/zk3nQkOJ0M12VqzWLpxhyzbuL2mDyPqoGRA4bhGgNJAvCC/sEhO+99nsmrVKhk7dqxMnD5X5m8s1SLYioREKW7SWZp06inp6ekhH0oN/aijjpIfv/40IoEw++vnxEuXQ5hOiVbmpGDTKtn1e+VnEFjAbdC/e6Bt27Zy9913/7OPwjwzfdFJeIvyS3+7ZLxxvIFS3Zszs2r6MKIOSgYUUTdcyNXwJMjfJfVl2IlnyVlnnSVNDznJsaDAduk5J+Dddttt5raUlJSgq+aFv85xPBCy8t4xb4IZKlSY83fpcVaSgFir+ORGLY1yns6LcMH8Ad9trVy5shwZcHrgE9vdMX+SrH3xcmMzXZy3QzMFEQZlxSlLNtb0YUQdlAwoom64UDSsTC55aJw88sgjUrvjAY71hLPdvIYdZf78+aaz4KuvvpImTZoE7K1n1UxQcjoQWp4AtbsPkZQmbaukk7CGIDFNkA6McGcSmGPxCcC8dt9jcHLgk9UKWbJlreyY+qqU7N6mHQA1gKzsXXv5lShCQ8mAIiqHC7kZkJ+FOV45/5LLjXGQkzBthMlp8vLLL5tSwIEHHmgm9QVDJAKhHdMAreexnbq9hlfruEaOHFmOHDDwafeKubYPfGJ7bBdjIJwPizxJxllSEXnwbq/MLu88qQgNJQOKqBwuBAgX4ZINHp8aAROjVZt3yt1PvOS41x9Bs26z9mUGO5988okx4LHS5f4gEBat/s3+QEhWYMVckeIiW6cBWp0TuDZWFd98881e2ZKcr54xx2zncbI9tmshKb2ZZgVqEJFyLo0VKBlQRO1wIS7j/ds1Mn9XRAqs+zEwevaMvuI4PB55/s0Pnd+PiIw6/gRp3LixJCcnl5EAVqbBgD2y4EZoZyAsLpIOm2dJo8OvsHUaINuhbIDLYlVRUFBQ5kRoITFvi+R+84Ktx5nr1wrJdEpFzSFSzqWxAj1biqgeLnTbyG7yzTWD5ez+baVtRu29jHb5n9u5f/K1g2Xchf2lUZ3AIju7kZwSmWDQp3dP2bx5sxnTa5GCUEjYnWvr5EMrEM75dYEj0wAhF2w3KaOVbdvMz883ds64OTrVChlJTwMVKZYHn+x2GeWnVSpCQ02HFFGdovtz/XY5vEczGTOqh4yRHrIjr1CmzF4ojTObSf26tc0FwX+WeaRWDDvWrZC6DlvIEgTuuK7U2fD444+vVFBgpez9Y4rk7pl8WH175NJA2HDYJRXOR6hu50Tu5LFhPc+ygg4GBj6V7NxiShu0a4ZDZMiGmNLAN88H9ESwPA2cLhWYfZT+EfMTLCuLNhm19/reK0JDz5bCEUQq4F73wXzxfDBfahXvlB1LZ8n66R9K4eYs6d27t/z6668BnwNB4JLpdfgCXbhplWnlYyqhUyDg7Npa6sUfKOhlZGRIdna2sSm23Akt1X3xrA/LAmFCUvKeIUaVD4Qe8Urqb59JnZXTZZuIGcXspDixVod+kivhkYHKkKNwBz5Z9zM3AY1AMJdEy9PAyfcfWGTDIgXxPsOAkuDQLpk1fRhRByUDCkcQiYBrgX3sSqwjni5DpMU+hxohW9qmmUEfz4qBqYirHNQ0mFVhYZ5p5UvqO9Kx1bJn/R8hHwMRABABRHS+tXP+tiMQpqammmmATivn6ZyoVS9ddm/fYvu2eR0MRGLgU90+RxriEWjgE+8r7ZN0TdA1UBGcfP/98c+xek2SoPxt8QNEy2cdpAOKwoWSAYUjiETADTXudUPbXvLcpAVy2fCeAS+IjEceN2uVI90OBMyijctNyx+tfPX7jRKnXu+GHz8wf+NCiP2xPxAUWmJCfxFduIEwaXeubF08Q7bO+aJcIKT+zjRApwMP2y+q1VDEhwxUVAbwBz4M6CuCPYduC0oRZCB4/8x5SEw29X+L4IUDJ9//YPB4EsqyA9vmfC75f/8pTUbdIPGSFUAk3CmzXk0fStRByYDCMTgZcEOBum+J1ysPTlktt959v6Qt/14OOuggOe2002TIkCHSrFkzObN/G3ntp5XOpbT3GSStux5i0sRFWzdKYt1GtgrrSNHvWjGvLCgHIgKUBuixR1iIAyGkAHKACU84gbBxo3TJzVoitVMSzZyDIp9yQ6SV89Z+LBLQvHlzWbt2baWfv2nTpko/lsBfuHFF2f+cw3AbMi1PAwiq3cLKULCIWf39j5Hszavjp3Tg9crFgzrU9FFEJbSbQOEYCLg15T5oXfgaDDpLdmT2lE8//dSQAYIHavvDB/SWhvkbJMHBQgbHQL04sV6GCQR2tvIVFxaU62kPBAL3Tz/9VBbIrr76akMEWrVqJR07djQ/QfdRmCfFm1dJwbolkrZ7s3zywbuyc+dOU25o3br13o+PkHLe2o91LjdujJztLFbPdevWDft5dnsahAP22WjYJSJxMieBM3zOqz/L2S/PMnNRFJWHkgGFY+jctJ4M6tS4xl0IW4y6Rh58+iUZMWKEab1jhbxixQpZ+MqtUlRY4PhF2ipfONnTHggNGjSQNWtKMwd5eXny6KOPygEHHCB///23+YEYsa2uXbsGfL5VVvjrr7/kiCOO+McVsGFDoxOoiWmA7KfcfoNkOZwARIjzGC54n+z0NAgHZp9hdklEM6y1x4y/smXYY1PNxFRF5aBkQOEo7ju+pyTVMBnILyiST9akyYMPPmhWkpCBBQsWyC1XXyL1l34VdelTWvmO6dFYzj777JCP8y8dsKqFBDRt2tS0F86cOdOICimhjBs3rsL9kmkAnDt0Ar6IxDTAqtTsbdcsVJF8INTcNv0t83ekMwTR9vm2A2Qk84tK5OaPf5Onpyyt6cOJCigZUDiK1o1qy12jetTsQSQkyjpJlwOGHSOdO3eWW265xQSzu+66SxZ+NlZuGNFlzwPda9xi7IOLCqRv4e9SvGCifPTRR/Lcc8+Z19OoUakLY2WCOfV1hhqx6iewQYwoofz444+y//77B31usGmI5bYfoSFI4WDgwIH2HUM1g3ju9Hcke+KTVRrvrKg6Hpm0RN7TDEGF8HjVukoRAcDO+VLWFAgmu+Z/JenLvzHZgW3btpnRvyeddJIcfvjhsnB3A3n+l2wzbjkSOgdL0FXZVr78Vb9KnUXjZdem1bJuXekKvFu3btK9e3eZMGGCITfWV5nOAl5fsO6BQPD3IfCFr2IfvYU1GdAfdCO0uPg5cQp/v3hZpdr5fFGnTh2jdQgHlED8Mx92gjkLlW3lVNgD5pFMvnaIWZwoAkPJgCJioH535/hFEQu4/qjvyZf8j26RJUuWSGZmpqmZ87eV/r7omn/Lulb/Jws3Fxudg9PHaFz1Eoslb9dOKUxLD9jTnvfXHEla+ZNsWv6bue3CCy+U4447zrgNEuytgI8+YOvWrbLPPvvIn3/+KcuWLZPbb79d3nnnnb1W+ARz36+9f8AMFfCDwfIwyDz1Hklr09PWGjWraHwNaH90EziXlFuqilCtnApnWg6xI1cEhpIBRUSBwvfWT36TH5ZtjkjALQevV8aOqCcFu7abQDl//vxyd0MQyBo036evdDnqAtmV3l427fI6Xjy4tXexDDmwl1x87a0y65c5RjFfsnWD1E1LNql8AjWrfVarBB8CL50AixcvNqLAV155xWQLIANWTXvo0KFy1VVXySOPPCJz586tcKXL6OOff/7Z/E23wOrVq6v0WpjU1/zCZ8STlGJLcDNDkIoKZN1LV1QomKwKevXqZTQQNY2UFl2l+Tn/q+nDiHkwn0Q9CAJDyYCiRrB0w3Z5a1aWTFmyUbKyd0WsWr/2ldHlesd9QQ9+u3btzIoPFf727dulTnojaXX8TZKX2Z22AEeyAzvmTZTD0nNMt0P9+vXlgQcekHnz5pU9pl69eqa2b6XxKQ/QL495Dsd60UUXybPPPmsIzn//+1/zeAgD5MC0NyYnGxIRzKDH/3brf7QVlCBCBctA26zba4RkHHW1TWdIJHviEwG9/6sLtBZpaWllGgonUFnjopTmXaT5uY+K2xHNfgUsPhhYxhwTxd5QMqCocezML5KvFq2X6z8ov1J3Autev870zgdCrVq1TNAk8HLBs0RzGec9LckNnbPaLcxZK2vHXiJuA94EnBNIUbioP+AU24Ygbfup1GUxWlCW/u/Yz1g071X+2bLOiC1xJ8SUyDwns720uOApcSv+0bhAmrxRq3NggunUG4bW9GG4EtpNoHCFdfE+zSKTugtljoN2wLLu5eJn0vLeBJP6dhJm5ZicVqnHsuLnokx2wCIrBGwGEpltJSWZkgKg24BMgQUyBJ06dQq5fd/ARcnBykbgLRAM7H+//fbbaxpgVZXzZhpgUYHJCEQTEUAYmHnq3UZEWa/vSGM45U+ELCMq7udxPJ7nRcKnoTr4R+yaICV5pfoSpzpHnARZSBYfir0RH04UCtcjUoONEnaWDu6pLCACkfDcT8loKfnrl1f4WCud/ccff5jn8QOJsUSQ/G/5C1x33XXl2g4RBVqDi4LBCkhW+t8iR7m5pZMRA4F9B5oQ6dQ0QDeC0gjTH8sMpipYOfvO0Wh+0bPGlCgSEw6rA+uYE1JrG7KWt+Z3SaqfGVXiRz7dK7N3So8WDWr6UFwHzQwoXDXYyEk0r5skid7gq4JTTjnF1JD5YYbBWWedJQMOHiSRgNcTPHgEu9AacZ3fatLqAkD/QGYDkyH+trYxYMCAco8nu4BOIdC2rWxDKODoSMYhaIfB9k2mC2Dti5fL9rkTTEnE/5jNuOecteZ+2gd5fDQRAUoiaCSMaDLMLgoez/N4fvHOrVGx2javMTFZarXbT3b8NlnWj4uuIUgFRc7oQ6IdqhlQuAZjxi9ydJJg3m+TZETGVrOqnjNnTsDHQQSYbGc5FR51xiUyv8VRUlPCRgItfgi0CppBOWE64PkL/Pr37y+zZs0q+585Bd9++21QS2InWuyqMg2wKq89HIQ7/dApsWQ0IvvrZ6XRiMujJjswYfQhmhkIACUDCld1GAx/fJpj2z8+ZaF88vpzsmrVKpM+z8nJKbsPBf/gwYPNYB9+ZsyYYdz6CFytr/vA0QsdX8HVj55caatdVtx4A1AygCxQ169Ov7sT6NOnT7mOCMgG/gexBGr9pPjtbKOk/TWaBHrmmIsKpHj3Nkmq30TcDt6lhWMON5lIRXlomUAR84ON2B7bfeyuf5uhO5MnTzaDd6z0Nhfy9u3bS79+/UydnZG/pNfptX/r9VckJX+rOImSresloaTyJj+QABT+kAD0AaGIAMShsrACWlUm8/nDlwiwXYsIcDzhHJObgRaCoG3nACrxksKuWpaiJmANQoLEREOJo01GbSUCQRAb30pFzMCJwUZsj+0CAtFhhx0mb731lmzYsMH00kMETj31VGO2c9NNN5kygpVCH3XCyXLEgd3EqVlLXEB3LvulTKjnD+r9lAl69+5tsgHlnluJgBFO/7y1vR07doR8HOcQx8Nwt2sdj1M9/YFAZoe2Pfr4+V3Zro3KtA8iirR7GqDREOzpGIkWcMxJDTJdn83gjPZpXdppo9gbWiZQuNK2mGljduHBE3rKqQe0CfkY3AhfffVVM71vu6eOdD7yAklp10e2FCU53uEQynN//PjxcsIJJ8jpp58ur732mjEBOvbYY00NnaBKvd7qJPBvPwxGMGqqvu6WPv/iLetl1/JfyvX5h4uGwy4x7YFOBEAIYsGmVZLatEPUmPxwzMW7tkpi7QauJwVkCVkc6JyC8lAyoIjpwUaHd28qL5zdr9JWyTd/NF9+/CunNF3rgONgOZQUS69madJm+Xh55pln9rqboD5mzBij2L/yyiuNvfATTzwhDz30kNx8881lj0PrgOUwHRCQBVbtDCqqjNug06jM/qy5BpEcAGTdv3vF3Cq1Mba4dKzjbYAY/JAliDa4ncBQNiRbyDTV0ypYJMQTlAwoXItLxs2WSb9Xv8WMEcVXDe3sqiFKvp77dT35xiho5cqVQR9vzU3417/+ZeYRHHPMMfLdd98ZvQATB7n4nnHGGSZ7QEcEVsRsk5Q/rYO+YslQYKbBlClT9grQkSYR4XYo+Pb5h5O6NwZHJcWmzx9fhMrAk1JLWl/7vusCntuDsBtRmWtDvCD6aKciLkBwtoMIVGaeOVkIyhL5RSURG5zERXtInfXSMKXEiAADEQFKAfwAiAAgM4CWgcFCBHuCZl5entE7jB07VkaNGmWIAASB7dKOV1kiACACwH+lTqAh8xAphEME7OrzZzvBdAa+t6V12N91QbfMLljXdrZeG+IJmhlQuA6k64c9NtUEZ6fnmdutT6gsbhzRVa4cWmoN/MUXX8gFF1xgXP4C9dKzSm/WrFmFA3WaNm1qMgG+44jdMq7XKdjd51+0c0tp3dtPZwDcRgAUzl4b4g2aGVC4Dow4Jl1vJ9ge2/UnHZQGIgZviSQnlAoaLSIAjj76aFmyZImcc8455n8mJ1oiQfM0r9d4HlRUV6c7wgkiAELtu6ZaBdEIUBqwaz3DdpLqpAecJxAtRMA6F7rGq961IR6hZEDhOuOhH5Zttj1dz/bY7rKN2x0lHYFg+SYkbFomK5+5UJ6+7kwj9PO9YJPyf/nll+Wrr74yXQB4IWCEhO8B7YUWOnbsaEiD78yBSMA3Y+EfGCPZKuh4n3+UwxooZPr+wxwQFa8IdG2IRygZULgKb83Kst10yALbfXNmlqOkwxcm2G/fKF0TNsgbp3WWZS/+Sz4e96IJ9mQDevbsaboIyAosXLhQfv75Z5OO/9///icDBw6UG264wbQWXnzxxUZACJYvXy5vvPGGmTvg7zsQKVgkBgJTU1kBp/r8YwGGICUkSP6eUd3RYAZU00j0uTZUBKYeLlq7VeZl5ZrfsTIFUTUDCldhyMNTZFVO6dhcp+aZT7luiJz56KcyY1OSMz3R3hJpsHW5JM19X1avWGYmBbJ6Tk1NNSs3au/hrqZxBeS5OA9Gwqvf7XCyzz8WAAFg8BNeCsZzoUO/qJouWBNom1Fbpt4wNOB9LB5YqEz5c6Nk5ewq5z3CGWXI2tCumXJm/zbGSTUaoWRA4RrsyC+SnmO+dtTkhy/ulpculNon3uNonzgWxn3XjjeqfmyPWfn/8ssvZVMFcUEcMWKE1KpVSz799FP5/vvvjT/A+eefbzIBzZs3N8+FONx6663y1FNPyUEHHSRHHnmk/Pe//62SmI9yQ0lCcthDgiqLQASFNke6HexGJPr8ox1Mglw79pKy/2t1PFAyT76jRo8p2uYWrM7ZZcqJZBHJHoTKJFr3R6upkZIBhWtAym3kU9Md38+6cTdKs7MecnaVxAjgKfdJ4e4dJrXPHAFfQBAgBngA0BaIBoBZCFlZWSb13qlTJzPch4wAQXzTpk3y448/GoFgmzZtZMWKvSccBgL7yezcW3a32F/SjCNfs72U8kVb1snu5bOr5cjnD/9BUHbCrX3+boP/AKzMU++WtHb7icdpM60oxgSfiYZV9R6JVlMjLbgp4m7OeFJ6U+cDiccjS9blyo7Vi4MGaVbSBPdFi0o7Ggj63IamYPHixeaH2/ixesgpL1SWCBi1/RFXSlL7vlI3iCMf22WFndR3pNTvN6rKjnz+cIoIAH9CowgMzhFZIEZjWxoLReWuQU9XwwEV4sAPLcubd+RHjamRUkSFa5CSFKGPo7fmyQ2ZAmYK+GoHIAGk/31nCli3WTqDyiTyyCw03H+ktLj4WUlr29vcVlFt3bqfxzOWl/59t4IShyK8c4VuQIWElbsGvftLli1W6NFmaqSZAYVr0C6jjqnbOR2ra5c4J1D0RaIn+CtBG9CwYUOz6qdcQF0dcsDo5KVLl8qaNWsMEaCMQLaAWQOVFQzW7X+S1B9yTpXsaQ0p8CQYI5+EOumy7af3w3o+xwoZcdKgCK2DIrxzxdAmFVtWAK9Xlvy5WO78zt6s1h3jF8nAjo1dryFQMqBwDRDuoMp1upvg8znTpNc93+yRDDkDAnHepuD1dyYkWqBFkNbBFi1aGBdBRIK07UEI5syZY0Yq16tXz9y3bNmyoNvEg+DKR9+SJ37abP6vairdel7DIedIyc5c2bGAc1U5RKLDIbVld8f3EQswepDcdUZjwfRGRWh4dmbLta8vlkSbP1+WqdG4C/uLm6FkQOEq0J4zbtYqR/r/EfYM7ZIp9WunSttGdRwlHRWp9An2BE7LPhgdwKpVq0x3gaUbIFNglQxoKbTaCgPpDxAbHnXKOfLMzE22kRyCScPhl0neqgXV1hDYBaODOPSCqB/KU9FURTs/g2a+QhSfq0ggMcEjIwf2lPEL1jlqeNYp071th6oZULgK9Ok6ZQTEdrfsLjA9w5AOp8yNuNDv/mt2yMcwRAgiYAEPgoyMDGnSpIn5oTxQWVBm+Ouvv+T1RflSWGRfXdjY8CYkGqc/t8Bu18FIAxJDy5/xAFj4nWN1fN/PoGosKndtSPB4ImJ45lZoZkDhKmDYQZ/ujL+yHSEFny9YJ5/+ulb6tkl3jHQQrPo3KpA/27c30wjNKjY5LWB/vzUqGEdB2gf58QX3UyKgBk+mIBhoH/S272P/a0lMMir0pIxWUpS9RpwGGgpfAaUv0pq2i0pF/MZPH5DirRv38nVA4V9330Md+wxunzfR/K0ai4oD9cAOGTJv9RZHFyJTlmyUMdJD3AolAwrXAcMOphY68cW0tjl/zVZhEcB/djptWBeWcfe/ajIQb/y0Qr5ZtE7Wby807YaB+vvzF06W4ty/TcD37xbgf0YSBwMrZDIJJR0GijiUemaVWa/PUZI7eWy1t0UJBO0Dw5j4IfhjuIS/AghGBECtniMikl63XTuyfHbAkhGeDrRyprXpZautMjMJ8rIWlJE3Q0CivKziJPAEuG1kNznyiR8c3U9W9i5jXexrauQmuPOoFHENVLcYdjg5WtipFQAXlquGdpKzX55V3rUswCQ8+vtT+x0jJf1GSf1df0v+9Ndl+fxZZQERLQCPowwQrKWQ2zdu3CgtMrtKskNBkuBbt0t/W8gAOgk6JvjBRCkcRKMivmhb+UyPfwYETwdaOcWm0gefBwgT2y27rTDPEE91bAyMu0f1MN9Rp7uY2P7K7J1lpkZug5IBhSuBcxeGHXb1+0YKR/dsLue8+nPZNMSKSEfJHrHfzrqtJOmo2+WlxztKo9zF8sMPP8i8efOMeyGjiUOVCBJSazuuFvfUyzSlDrusi8Pef5Qq4pMbZErr6z7Yy+XRInwIM3O/ecG0ctoBCMXOaa/tJfhk3xhLRRuZcgyQa49H0rOmyb0X3iJbkxqK5/CbYsZYrSpQMqBwLXDualw3tUqWoDWBQzo1lo/m/V1117LiEhkzcankTn3L9PczwRC9AD+ByIDlSpjYwHlHRV83u4oeZ2UxfP/2h6WV8H8cMxkQVvp3TkSz62BFLo87Fkwyng60clY1nW89b+u0cbLll8/3OveQEPatKC2jkD3J/eZ5WbWnbbZOq67SOJaM1aoA9x6ZQrEnQzD52iGmDg+cUvuyWU8Vts/jU5MS5MQ+LWX6stL+/irDp7+/bq/hpqOgQ4cOMmTIEFNr/+dhpY9r3769jBw5Uo4edVz19lvZw6uEKt03AIVyS/R1XvR93Lp16wK2UMaCIr7M5bFNr71cHiF/2ROfFG9RgQlWYQe3ogLJnviEbJnxXsBzb+kTwt12LMHjLf3MdaxXIvcdXEumvfagKVeh1dmwbKGDriN79r/HWM2tiKlBRYgzqMmQioGBceLdKtZQhA8Eec9MWSafzl/r2D72b5Muc7K2VHpC2cAODeWYDsnyn283SJF5uA2XFL6SxYWy88NbZMf6VabTINTXtO1+B4sccYs4jbWvjK4wMxAuLGLj+/ogQeglIAWWkyG98i0ueEpiBdZKPnfqG+VcHvFRoH2SromKxJLW/VamoWT7JjMl0n8olu+2ISGepJSozbJUFY3qpMioXi3krIPaBO31HxKB8enBRiS7AVEfKeNhzrSiFLx/6bVTKgzUVQXb7dkyXR44oZc8/+0i+einxeKt09jvwumVtMLtUrJmoeTM/FjeWbVYvmUanJ2KcFK8ngRJGnCO1P/2CWNbjPOgv9Ke48J18NgjhsiHe2qgTrvZ2RHs/bfrD6yX/RFrivhgLo+UDja+d0dp22GfI6VWh36lLan+nSi566Qw61fJ/WW86RqAPJFtCUYEECymFe+0VZ8QTcjZWSCN66WENP0ZGgHDMzcjajMD8TRnWhE59t4wqUga/PCYTJ061fwfzB/AAhftFhc/59jxNPnledm5drmxJA6FFpeOdVQtjlHO2rGXBL0/lD4glHdAOGhx6YuS3DD6RIQVqv+LCmTdS1cEdXkM9hnErTKYsNR6P3y1GRYaDr9U6u9/jMQjHjyhp5waZKzw0g3bZfjj0xzb9+RrB6sDod1gqhR96BjTgIqYnHU/j+d5PF8RfdiRX2SyP04ipzBRps2YVfY/F11S4wXrlpjfvkSAC256v2OcmwbnLZEN9bpUSATMiOO1v0fEzS4YOBcchwWyGX369JFBgwZJ7969pVmz6gkAee7u5b/E3OS9yrg8BvsMhuowsYiZPxEAOxdOkXgFQ4NYSIYyPEu0WZfE9tium4lAVJYJ4nHOdDyA2nBOTo75yc3NLfvb92f1Dq94W4x0/OKc1ri17F63NOhjqMuyKmPAUGLnA02PuDMHkyAlzbpV+DBW3fskb5ZlDvoMWG52weAfdHgP+QkGVqytWrUyNsz4JIQyVrKCW6wq4p1yeeRzCgmDNNCeaiGeHQkrGhp0nwOGZ3iPsF23I6rIgN1zppvUTQ2aMlKEDy7Y1CwDBfJQQZ4fhvUEAgG3UaNG5qd26+4iEfBNychsKmtCkAHGDfOzZWeetK6T4agKObFBs0r193/3yVvS7LRuktx6X1t7yVmJ562ab7sVMeTBch2khZL3OdBnALIA2cGsCEV83prfJa1V7E0tDOXyGKoEA9ALYEwFateuXaYb4DOKHXas6y/sHBrU2gHDM0yNoqE0HTVkgNQO/ebxOGc60uBCjYgrWOAOFeSDzbEnbWwFdf7GkrZbt25ltwX64XEECguL1m6VkU9Nd/z1p9evK8FCH8GpdevWZupgWrNOsjoC/f3JjVpIwYa/Qj6O87Ttu7GScfajRnxom5tdcVE5NzsnwGcm2OeGTgpfFOWsFW/LbjEXyCBwiAVzZew/vg5JSQHdJ/3JgUUEQDABoS/i3ZHQGho0ZlQPxw3PbhzRNWoWnFFDBkjtWK5u8TZnuqrgIuG/Gg+1Ord+mKgXqNbIxck/YKNm9w3egYJ6gwYNytWTqwpaRQkBTipe2f70Lz+RF597Wu644w6zuvK98A4dOlT22Wcfyc7OltW7IuPmVrd+uuRuDL46POecc8wI499//112e1bKHE9XW/ZL0Mn55vlqjS9mxU9AZ2UfCkxsJK1N37fvStcfqa27xxwRsGBEgnuyQGa6YZBzUJHmm+8p399A3+FIOBK6PetQmaFBV1XD8AyyQWmAjEC0EIGo6SaoCZUnp2XSpElmmAoX2poENb/Krsx9fwKZtwDq3aFW5P6rc+vvunXr1viXPJK9wOvXr5d///vf8sYbb5Td/+eff0qXLl0imqlo/utrsnnZr2ZMsf8Ffr/99jNka8aMGSZ4ZGZmSkqfUZLY57iqX5T3tCnmTn1dtv30QbWO3QrsuChCHCGagVLXlbUkbn3t+zX+GXQS61/7l+SvX+74fpzugnE7+AQtHHN4hT40q+Ooay0qMgP4CDjZW+6fMmKFdeWVV5ppaqeffrq8/fbb1d4PF2aCc1VS76xOA4Eg4Bu0WV117ty5wuDOCixaEcleYMRXr7/+ulxyySVy2WWXydq1a835jWSmgsA8Z+pXUlKw20wnpH6+efM/Toe//vpruYczArn+zA8kvWCnJBxwqnhpGPKE0TSEkY23RLInPS/b538d8qGBatlWG2GnTp3M/8xWAHz2f/vtt2q1GEazJXFl4fUk7lWW8i+VgMTU2pKADXWQlteKUDYxsW3vuJxXUNmhQa0b1TaZ4zI/myUbzfTBvfxsMmqba0coUyO3IyrIAIZCkZgzjaJ5zJgx8tRTT5VddPzny5PuZHUTTtrdelygCyGqav+A3bZtW9OWFSr1Ts3a16I2XoB51Gs/VW1lWZnPAl9mfxx88MEm6OKZ7xuMWFVgauVkpqJoy3q55qrL5cYbbzRB4euvv5bbbrutnDrcAp+JfffdV6ZPny5bp7wj6Ut+ltRDzpO09n0q72a3an453/xQCJRUtD7jkAD/+6vrNRALlsQVwV/pz3tukS7LiKh2xwMk0Y8Y+Y7EtoYhVYSyiYk2aUyiDeEMDerctJ5ZMBInYtXp1vVlAnrLe4752vE68Zmpc+WJ/z1kFM2+p4TUOGUCK6gHa4GCwVcl9U76FEKgqDwYD4xnhJ0EkawA8w8q0o/4XwjenpUl785e7QhZZYU+oEmRNF873ZCARYsWmc/KAQccYIgJ//sCcuhbm/cPIg26DRRv7YxyToWWm13eijmmfZCugZq6JFSomo8xS2J/8NpXP3py2QqfLAsEb2txsjQ6/IoqWRRXROqYjxCPjoTgw0sHSL92jWr6MFwD15OBSNVlg/muU18/++yzKwzwPE4RGVDHoxc438ZxoAwbYiBSoDpfKMtrp/H3i5dJZmqJHH744XLEEUfIsGHDzGft1FNPlc8//zysbZnVX1KqEaolJKVISVGBIQK333yj3H///YZI2OUWaDc4rpKEZDMOOFZXsYFcHgnWOAYS4MOxu/5nMt8LZipiKNQfcEq1JiZGM9qqXX30kIF5Wbly/HMzHN/Pk0e3lpkT3pWxY8capbhl40lmIJgQT1GznhN29gIHsikNRzxkO7wl0jpllzx7cneT+jfK/pwcefbZZ+Whhx6q1mfSP4PgBBg2RJbNbmLhtO1yRXAqYBK4t8+dUM5noLpBOtgwpECoKumIBUS78M8uuD4/Han5zx3bt5X77rvPiMTeeecd6d+/f5mS3+V8KS5BL/ANI0pV/U70AodreW03UpOT5K6R+5j6P1kBSyD6n//8xxABugbOOOMM+de//hV2mclOIkB5jGOzYB0LPhUWEQjUVkp2oyqaF2riNWlJ7NTK2d/l0QTnIedUa58ev5HYoUD2gPkIeVkLzP+xZvscCmpXHyWZAWq0+0ZAM+DfZsJpmTx5shH+nXLKKQ7uXVEdPPHtEnny22VSHObHOFQvcHUsr+3CtsnPSe7sCWX/k6GiRY8getZZZ8nixYtNOyEmM6H68u0CQZ79YA7kf8ngPjpb/O2HIQoc1+jRo2Xp0qUycWJoS+PKIDWznTS74GmpSZCCt3P1zPYIwkwrdGLUcGWGIfki1MTEUh1+7JcSbhjRJe7s6l1PBiLRW96yfoqcm7HCeKRzkV24cKEsWbLEZAWo03755ZeO7VtRNfim8JkrUtmFe6JHpNgrQVOCdpcfqpbWfV22z/zQmBsdeOCBpnvliy++MGUrHgMx4L7GjRubz+gPP/wQ0mCmuqAVtUOHDsZjgd9r1qwxngEXXnihPProo7J6daly/aijjjLtuJYLHi2ZtEOScQv3MgPBQFwbSLCbaffI6DBRUlggnqRkxwK1E6/Pn3BUFr4TE5scf4sk1W8i8YIHQ0w4jEVEBRkYM36Ro73lict/lKXv3RdQ0XzLLbeYi5nCPSBgV8UZzCID/zqss1x9WJeICBPDuVjT499g2dfSMj/LENP58+eXpdqxG8Z3nhJBJAR+tLe++eabcuSRRxrCQavgtGnTjNshJbRZs0onO0JW8BSwvDg4zv/7v/8zhl12IJC+we6Vczjg2pAz6XnJOPxy27aZPfEJ2bHgm4iYASFIrcqciXgwfApHVByLcL1mAKD0dNJn4NnrTjc12ECtTT169FDNgItACp+VOwG7Kp8JsgKPTl5qthMJy+uKPjtWbbZk3WJZ+9IV8ttnY00gnTt3brmgT3qeDEFFRKA6F2tW4+eff775e//995dDDjnECBbZ54gRI4yWBkAEDjroIKMF4PtBRsCaIcFxfvvttwG3H65GgGMIpG9gBY1KviYCE90XO+ZNMKI8UNVrg/U8skAWEQD1+h7lXL2+pFjSDznDtGiy4g8H8WD4FMyuPl4QFWTA6TnTww7c15jK4C7nK3biw099ltTo9ddfb8Rcbmy7ihfYPbXyPR+hEO2DlBzsJp3WBdQ/aBjv+Zy1RkHOam3NmzeXpYkrSvkHuiij3u/bt6/JHnTv3l1eeOEFGThwoLmPz/Crr75a7vH+or5zzz3XfLZfeuklU/+nbZGSGbV+gjhlM36ef/55Y8KEpfCDDz5otsv2fY852HckHOEixGTOnDkhBW/VDcjhgiC9+6/Z5m/U+dkTnzQpfpPVCWc7tP0VFZiMgGX3zPsG0jrs75wjYEKi1Ok22Hg10KJJZ0bDYZfI/oceHTTQWwSuTr3QTn2xPuEwHhAVZYJI9ZaTmiXFyUUPXH755TJq1Cj5+OOP5dNPPzVe9UzbO+644+T44483Q2t8p+opovf9v+3jX+XtX9aIVxxqG/v1K9nx61dVto9FvNeyZUtDWEnLoyHAeAjR3ssvvywXXHCBvP/++8Z/gCAKMTCGNVu3yqWXXmrS+JQYEPX16tVLfvnlFxMAqP0vW7ZMBgwYYASJBPITTjhBxo8fb/aLPoFSwYcffmgIB4OEKF8MHz683IQ8gka/fv3MtnztkoPBat21wLFCUNjHihV7+324pSXOP81OyaLREVdWyRCorie/XNmnJlLx1jHlrZgn2V89HVRgGOuGT6EWjGf3bxt0wmEsIWrIQKR6y/EYOPTQQ2XBggVGDDVkyBBzOxeumTNnGmLwySefmKExrKCOOeYYQwxo/2JCmyK6XAd7ZCRJ5u/vy9fJA4zFayQNZfyBYA4Q5PlM8UNWqn379mZOghUksCNmVY7ZFTV7y3yIWj7bIE2P2A+RIeB5jF1et26dUfdDBtguwlhS8ZAAPsvXXnutyQwgEAS0MpIBgBAwo+Pdd981K1hfEkB5DYLy448/lhMcBpun4Q8IDiS8Ot0Q4QRkpwR4oRT4lssjWQXL5dEiRPxQZoF81WTAtUyKtnz7oiGu/iVTygqxbPhU2eFlsYyoIgN2tn1dP6yzjA4gIgPUZr/66iuzygr04eeUQRYsYsAAFlq+6DzgAn700UeX671WuHtqZdGEeyXxqFsdvdD5W836goBMMGBFTicLq3A+S4FA5wAEFUtiBmphSdymTRsj7uN2tkNwpaxFVoDgzbb4rLLyhiDw2b3zzjvlkUceMaSA7QAee+aZZ5pMwsUXXyzz5s2Ta665xmQhWPH7gv1jhmSVHyDCmAyFA8s7wX/bVUVZQO7UX5IalGqA7EC4rXm+CvxwskApzbtI83MflZqC1c2ya+Z70nTzPPNZ9EWry15ylDBH+4TDaEfUkYHqqMmt3vKimW/J6qnvy0033WSm0bVq1apax0NdFVLAD9kDUqZkFyAGlBRY1Slc2k3iEenXNFFmrXdeC3LvoLry1tMPGv8K35UwqXoCNSl/evFJtwcCwb13795mFU9Af+KJJ+Tqq0t95clQITpkVU7WitU8GQZrEBaZLQI2osCHH37YCAW/+eYf4RqYMGGCKZNRUrjnnnskK6tUU0GAQIfA0C6IBiULWgYx6OKzzdCkcC4jZC+cdvWs23ekZIxwRvFfESh1YLoULtyUir+8b335cdzD5Syvm40cLan7Dg9vCmaMYMLoQyqccBjtSIhW9zlqvQyWARUJC637eTzP69eo0FyMaRmkhYqgTWq1qryINCnE4qeffjIp1scff9zUAa+66ipp0aKFuQD/73//MxdphcumVnpFVu2KDOPvvm8vE+xp1YMQsGKHOKJFQVxHuj4YEQCM1caSmDQ9JQH+53PGCp/VO8EZdf8VV1xhiAAgvf/HH3+YbBcrdzoB+MxTAgNkFSzXQLZHICMrABGABEBSIAcQAb4zlsER+8L90Kyag3xvICY83h+RsPfeMdc5xX9FqAoRACaD4IK1GcfwzKxN8vWPpWJJwGehZMm0uCQC4U44jFZEZWbAF1WZMw3bRRjo38vMCo2LdLt27Ww5NvQH7IuMAVPnGEe63377mXQwBIQLdzzW4Nw2tbKmVhdTpkwxmSMEgZAExKnBQFsf9sOWuG/27NlGF8DIbYI9wkBS+uPGjTPkgkwAQR4x7DPPPCOPPfaY2Q4r+TvuuMN87hDI+rsXoi0ga8B9t99+uxEn+q7mSevzua7OBEJEt7QgRgLVH/TzfEgiwPnkfFcXZG8gejU9e8ECrz1p83LJeuOmcl0gNW34VFOYEAeZgagnA76o7Jxp0q3UK31fumWpSoshqyW7wUoNwRa1W9KxXFjJKEAKuMBTg9VRxjU3tTLSdUeU/0zDpM7/0UcflYkHA2HVqlWmPEBLH6l9iCxEgJouHS3oCFDjo+InE0Aqn0yXNSyI1b0VfAnwPBdCUVDiMbXtpJQ0KSrIkxb1kmXlsj/N49gWx2bpCdg3mQAISUUtglaJwh/hCAvtRHUU/5XRCFRm/HJlQatfvb4jnWsvDBNJs16XvxfPk/zNa4zuoSYNn2oKHtUMxDZovUIgZYF0PhdVBFVOgwwBF2uIwWeffWYuvKiqLQX54MGDqzTEJRYRqamVzeqnyvpt+RFRJD/55JNmFU9gfeWVV0K2p1IGQH9Cux3BlPQ9nx9a+yAFjB4mZQ8pwC2TlkECPl9r6voIBWkHfOCBB8xtlsiuTqcDJaFB071U74x0bZi3ViY/d6fsWv9X2SqezyXttaEuF2QVsCb2D4zWWGS7AmZVURXFfygEGvdMZ0B1ZjA47UBYVXB+MlJKZNXML6V45xZJH3yWxAvaajdBbOPf//63qbUCVlB8qRH/IZSKJFhl0ZZldSZwMSUVy4WeCzAXfYJAvCJSmYFjejWXiQvXO2Z5Ta/yncd0NwGbtsAbbrjB/K4oG0Swp5WQwM6KnzITg3/ILFB6IiDhBki6GmLJ9qwsAN0wdBnQUui7Oq5oloO1Om7u2SLrPntUVv0+N2zfALejTnojKUhpUGXfh0CAXNBV5Nt66X9+KjM+2s2peOuzQatscqMWjo10dgsS1Wcg9oE2gEBLWhXB37Bhw4zwB0JQU+p/3goMYyAG/JDOJeXKagNiwG+ISzwhUlMrP73iYDn22X965e3Gl6MHygO3XCNvvPGGGe5DT39FnwWsgAn8/E3QHzRokMlgIehD30KdmUwAQH/C3AA0KjhlWmBln3HgMZIy4EzxSkIV6+YvGMe/cEEA5LidnqhoJ5zOXrDYsEovwfYZDal4j7fELKASEjzi9SS69jjtwORrB5fpzWIZcUsGLK8ADFj4ILMiR6FNmyFKa8setCaBMMzKGEASuLBDYCAGZA5YLcYDnJ5aaaUBnTI2OrBtuuR+fLd89913hgycdtppIT+XCAvJBkBM+Rx269bNfBZY8aNrQeCKtoWLMfqWk046yWQJCDLW1xnSiAfAmvo95NFvl7Fhok41Jim+IUe3TzLGQ9XNAEBc8EdwG/wNlaoLpkpSAuzTp0+5kmRlUG+/w6XREaPFzSjLChTsFkmpJbGGxASP6UAbd2F/iQfELRkIBL6wrL4IuBi/+Pu31yQQkVleBmgb+BKiLUB8iCKdem2swumplVYa0BHL40SP1Jn6mCybP8u8d4cddljQx5LSR+k/depUQ/QQuqIFINCj+kdkiOK8a9euJnvF46z0M58HTIAso5h7771X2g8701bHzpyvnpLtv35d4eNCCQUh25bDYSDUtK6gqgZKoV4HBC7QKOaKUH/AKdJwyDkxn4p3K1J1amH8Agb/3nvvGaU1NV03gd5wRGcEAGrADIzhoovTHKtDbGmpL1NaiDU4PbWStlPAl/4um2uDRbPelrVLfzPvG0LAQMBfgDIV6n2CBroC+voJ9BABQECgowDhK34VbA+nu479hsiNDzwjPy9dK/++7Y6yvv99+w8xxlxiU4GFbaYfdolJYVcEfyLgq4vwJwKWJS+2xtZ+LATyKHAC/oG2ukTA/3VYRICSXzgoNwzJqUmGNsB85kpKwh7Y5HbcPapH3BABoJmBAKBWiwELqm9qtm4GFxpaFSkn0LpImpO6pNWyCMGJhVWFUyn8QGlAuyyvC2d/JHVWTTcB/amnnjIBHNMfq1OEv1H7c3/Pnj3N31jzQgasryXvHS2olLEwK0JtnnnwieJt3l2SGzbfo3jYAyYhblkn+SvmSoP2vaSofgtbRWiWP//WT+81HQ3VBR00dDqQBYH8RCNo6cTQCZ8Hzkkod8VgWQ+rC6MmZy9UF6VkxWNKUbFwvblxRFe5cmgniScoGQgCMgMYtZDa9TUocjMIFpMmTTLEACEZ9rZkFCyTI0bauqn04bapldZ+mGHO6NKqEowE8RrRXQdZb4gaGpRTTjnF3E+vPv4CBH7ug7hRGqB1kPY/axWJDwbvn4VmHXtIq+NvlE1JjbnyhnSCczpgdPrzHZn2xfu2CAP91fV2pOjDhR2dEHR3XHTRRXu5D6JDgCSw/YoutRAKsn3BSgpWa2Ttjv0kMb18a6Rib1TUNRPMrv7uUT32GmAXD1AyEAR8ebmAs9pmRRfKJtaN4ELNcVvjlyktkIq1xi+TsnbL+OXKmkU5PbWyqjMvfNGpTqFMf/xKOfTA3vLBBx8Y335Eqv4BrkuXLqbEQ40flz8yOoH68xkc1Pfk0fLsrE1SVFxi7JNrEhCNnb9+KdmTnq/wscHMh2iPRAAZCRFfMNACCHmuChmwHu+bBfDXQvBecj/kIJAfQSDweXjuuefMYyvKvFjDkBodcrqkdurvimwBn438tUskrVW3Gtc5sOcGtZJly+5CE+RDfZ+t+wd1aiz3Hd8zrkoDvlAyEAJcLCzDF8vTPRrBhYvjt1oWrfHLTFeEGOCRH+nxy2U20n9ulKycADbSjWrL0K6ZRi/QuWk921P4/mlAu7aL6v6ErrVl7Nix5oKIB8D8+fPLBRvONQOBMKexLprW15CVMm2Dy5cvN90E4+Zukk//Kq5yN0BNjGMmoDP3A41LOEN8fAN0dVBR8MVYzHdOCFoM3qPKgsmPixcvDpjF8LV3ropVMZ8FSDoaIITC0WZSlFlLxPPHZFnXclDYFtBO4KVz+sn0pZvDsquPVygZqAAYvXBB50KFORA1wmgGbzcjl62WRdorSU1a45eZfufk+GXfNHxVGXt1p1b6pwHtzjg8cEJPM0zrvPPOkzfefq/CcbYEEN4DPls333yz0amw0tzauIekj7hS3IZg45jJPBHoERAGMtepyHAnEp0E1ZmLECqDwHYhB6T47TBf4rPAuQjVhWAdj5tMigiwC+4YLs3adpK6h15cozoHf8OgymYg4xVKBioBVgHU2xHjUTZwS3rdDiBYgxRADqzxy7SzWeOXmzdHpGYPqhvEUfoTZO0iFU5pEZITPXJI6zSZNG+5JKUHsL3dsk52L58t7YpWy3FDDzICQiZesqIlWHKRH3HCGbK00ylS5NKGn7WvjJbCjSvK/icTAJFBZ0O6O1xUNpVeXTi1H4ZMQYLCbSH0JUhcVyhH0l0SzrG6zaSIoT6H9ulSOu46hAW0yXYBB485XqyE7YCSgUqCHnD8Byw/eTd86ewGym4sbSEGiN5YdQwYMKCsM6E6cxvsSsPfMKKLXDW0c7WmVjrdpVAZ+A/E6dqqsUk/M7QIrceLS1Nr5Lgqi3WvXycF65YYXQBkBrJMip/sQCCdQChUdhJiVeEbVCujD6gqYfD1E6iqEJKyJEJS9EorV64M+jh/IyOmM2YcdbW4AZ9cPlCOPLCb0cv46xxSG7cyg7GOv+4BmbbO+WOJlyFDdkDJQBjABhZB19133y3/+c9/JJbBxfmLL74wxIAOBVY91FatzgQMbipLiJwW/lkINw0IkRj++DSpUXhLxFNSLNcPbSu3nDJYzjrrLLluzEM1f1yVyAw0lJ3GSRCnPdwPCVChUvA1ZSgEQWGVWtljYJXvG8iwgGYYVDgmS+GWI+gwIfijE0BrQHcCP08//XTQ5/i/FreYFJEZGLBPa/P6Ka/SemmBFtpWQ06R3+v2iejxxPr4YTvgzhykS0FW4J577jGtYG+++abEMlitnXvuuSZTQA84ynja4P73v/8ZdTxqeIY9UVoItdIiDV9qfmMf7hi/yGzXHwR+vvR92jQ0vytaDZBRoIRQo/AkiDcxWR6ZtlbSDz7NrApdcVwhYE34I+AxHwHbYyyGKwp+Jkglp0lyZntJbdHV/OZ/p2ERgWDwNUWivc9/RetLBAiy/sOlArkthqtLoBRJRojhUogOMaDKLxZp2L5n0HPlT2rKmRTVkAEQx3TndVeYjhBKjL5iUQTYKzdvl99r7RvRY2JxoKgYmhkIE5yuCy+80JABZsvzpY0n0PKEx741fhmiwMrJd/yyr3NcJM2C3DbzoKpZj2e/X+664/JFo+Qi+fN/Z5gLPl0RlJRCoaxu3LFfSA3FjnlfSmF2cPOdSHgGhLJSBqx0r7jiCkOK7Qa6kYbtuskF970qKwvqVOlcoUHw1GsiDUdcXiPiPUji3y9cbP4mYwQZ4DVw3WA43BPzi2X+hryIHpNmBioHJQNVAK1DTBCcPXu2EfswSCYeQV3Vd/xyVlaWWSla45c79BkoRz87y5XTxHbkF0lPh6chVgUpiR4pKCaYuTMzkOgROfugdrLwjTuNviFUMA7HOc9fQ1G0tfzq3ElY7oHB9AIEMwKb5ZJI+p4VvB2XTqsVsdyIafFKSYj33zpXeSvnSfaXT5c7V77nP61pO6m735GS0rbP3uI9B8DmzzqwjTTJmmLMtf653WNKH/998iW5e05kv3GqGag8lAxUEQiFDj74YLM6IlVueavHK/gYzZ07t4wYMGVv4OjHZH29Lo4PGKoKFq3dKiOf+mfUb7S6ptUEzmuyWu799+iQbYII2hoOvzTsXvPqjk2uCrADppQQyugHzwQMgapiw0yAJqNAkPb3UcCYqG7vEZLU/4zw+/JLiqWkuMicq7zfvzPdHHR1BMqMWCZFyY1aSZPj/i1O4bphnWWf4pVy+OGHmzLjJ59PlN1JdaV+eiORrkOlXo//iygB126CykPJQDUnCeJBQC2M1Hmoscfx1uNKDfTCT1bL39uq1tPt9Bd9XlauHP9caQuXovJZgVrbV8uipy8P+bjqCtl8xyZTB480GGWOSZdvRwCZLgaYkTUguLPSxdUznMunJfizxIVk0Yq6DrPtXJ2zf6ZpfcawKhQc8yXweiU5UeTo+mvl9clzpMMhoyQ7z65RWZFfMMQblAxUE3PmzDF1cpgwIjtf7/+quuzFAiKRhq9OCtCtmQE3A2Ha5tf/Jbs2Ba/r293ilv3lk7JjfmQyBIBAz/f4xBNPNAOili5dWuVtsUhgweAPTL9wGGx0wNGSNPBcsQvZE5+QxFU/V+h14KQvgZfuGESxLhmoVJ1SYrxBuwmqif3331/effddI6a76aabzG0o3RHO0R42btYqIwbzD4r8z+3cz+N4fCCFfLRiVfZOx1cEbJ9sS1VAZsadVXn3ImfScyGJAEGG0oBd6wu203DYpZUam2wHrHo7VtKWIVd1YE0iRJPgC/QG++x/sCkN2HmuGg2/THZKWtBhZJAbgMZg208fOKIhgAiY3zVMBMgKYDKmRKDyUDJgA7DwfeKJJ+TRRx+V6575yDjaoaAHFdXLrft5PM+jJz8WEKl2nqruh2wCmRlFaFjBavv0t2THgm9CPhYBnKl72xRk2A7bM9uNQN+8tQ8MxkBVAzWKfotY8Ld/+RBPhk3th4vXk2DruZKERGl2zLUBNQMcj2+WI6F2ffHaYJvsVpSUeOWqOBtBXF0oGbAJV111lZx1/zj5eE2asbYNVzTH43ke5jy49UU70EW4fT+UaNzcz1/TML3qRQWS8+VTkjP9nQrbB1HC212HZntsN7FRy4D32zVgC1W/FUSrOyyJlbm1LUSW6AwwMrJQp0UnSWzZw/bVM+cqsdW+Ur9V571IBseDw2XZMXRm0mHsXv55+ee8+nPMLK4igdj9NEQYfOh+2GrPgB9se9+L8g9xJNLwnj37qSrQarjV7tdJUM+tzP15WQtk7UtXyPb5Xwd8HBMIraCDjwDqdifA8dTrc9Ret7Pvqlj++oPVO+6JdqXsfTsO6CJgzDE2wy1btjQDqFK6H1rhe1BVsN3UfYfvZYzE8DFEvfz2pNSSxPqx3f3E1zqWFleRgJIBGxBJl71oQSTS8C3TU2X+nJ9l3LhxMmbMGGPle8ABB5jaKHMWKgKiTeqKbs0O2B0w2F7R+iWyfe4Eke2b9gp+/M94Yu7/+8XLZON7dwTt9+ccYyhjbQNDIdLUToAVNINu9kJSqqQ07SApzbtIg3Y9quxmyPwNArYTIMtA1wCaohEjRhjxYJ1OBzpWU2e7Sa17l78tOU0GjjxFGnftJzuS06X9fgNdMw47EoiFxVUkELu9bREE0/OYxGcn2B7bra7LXk2CNDwCSSdW3xiz/D75Azn45lKxl7VCLQtOtWpVajvXHNxUfly6QbxiX/3WDvA6TJreprqyOS8lxbLhkwdNgM+dPLas9zwhKUVKigqMe1yityikfwCgBm7Vn0l/b8zdZtzynIQxzeF46zcJ6mbYoIpuhswDAJiH4Y9htQDaNeGQbeBHQitiUq26kpjeTJxEcsPmkti4vdTveWjZeVro8UidVscIebQi2hElvsDiamDHxuUmlirKQzMD1QTtg4zRtTvgsT22u2yjMyuWSMDJNDwObdvnTSwfPPcQAdTbrMZCgfar2267TQbv30N2TnvVVUQAFG9ZJ1u+HWurwIxugLqef1LY3sI8M4aY6YNmHHFRflAlui8IbGzP6sNPSm8WAXc7j2Sedo+0uPg5qdd3pCQ3bLHXPvmf27mfx9FPb3UiVHR855xzjlx77bXliCR1dv9OgKrAGtTDdMfPp/wkjsPjkebnPx7yPMUbrMWVIjiUDFQTTg6VYbtvzoze9JZTaXi2h21tUfaaoDVbOjyYH+E7KAXgO0/XB+OYH3vsMbn66qvlz4mvmtHIbgHp/MKs+bL9169l96w9pjtVrGdbBCl36uumG8AKTH379pVOnTqVM67ht1XvtgYKkYK3huRYRIFgyWMhAowr9iT+M4vCSaQ2K22NqyjFbt2PsQ799Hgf+Ar4AgGzHlL5jCHmM0LNfb/99gt5PhANW6jMeG9meFxz3Q0SKdR0e5+bEAuLK6ehpkPVhNPDbqLdThPdAy2TiHnsQmpSghydME8evfu2gPfjDoe4bcmSJWZld+SRR8rJJ59siMH9999v9AQMm7rzzjvNBdpXBIr2g1VETQsLG/z4pFx+xvGyaku+jPs9XxJbdA97VfePte/z5doC8Y1nQt6vv/5adhvnqaRuZoUDhZI3LZG1U98rl4InOLa44ClxJbi8eTxSPO9TWfP1S0EfRvDHGZCgTusfQr8Nuz0hz4d3+0bZtewX2TZngtQt2SG5ubkhD4XP4KdTZ7v3XMU41JEwNJQMxLDLnltAkEXVaxe2TnpWhnWoLQsXLjQKaX907dpV/vzzT2nSpImZn/7XX3+ZWfEARfeNN94oF198cUD7aMgL6URWEVw8QpKCPYHGThC8e2amyKDUNfL0zzmmBS1cN7dwh/5UZaBQYdYCyf76acnPXmtWya2vc8bExk7g0BfIK4HJixAkLId79+4ti1aur/T58IhXqMBX5lxDONp33kcKj3vQ9ecqVhHtiysnoWSgGoiUpW0sjOCkvQdVb3Wxddo42TLjvQofh2agffv2ZvWLgCs9Pd0MliIrwG3Uu5mueMopp8gRRxxhRtf6osxKeslGycre20Gy1P/QbitXryR6i6Vg3meS0Ovo8If8mK+yVwpWL5TNXz8btIxigbR/rR6HVW2gUEmxyTyga0ha9bPUOuVBU592K8xKvqhA1r10hdFNWOUSC4wihzBmp+8jDYdd4tiAJTPX4OIXjMhPEXnEwuLKKahmIMpc9ljlPv300zJs2DC55ZZbJFpw1dDO8sAJPU2KP1wNAY9P8BbLed2S5Oz9M0MGt7Vr15oWrpycHDM3giAwdOhQQwwmTJhgUrkIxaj3kllgNUg9GQEZ9zNAxtI73Dyio5xZf6kkffpv2TL9bZGSIp/w74SVq0d2LP1ZkvY/sdQ3PkwDH+PY5/FIapteUnefQyp8fJ0DTzRzBKq0L4JlUoo0OmK0dD5utFHwO9U7b6ebYecz7yinI2FqIKBssrXVAMk4cnTVzkdiknke57PPmTcHfRyfx93Lf3H1uYplVMfCPNahmYEoyAxc1z1f/pjxjRkNvGHDP2lI0uCMXo0mhJOGt+7PW/mrZH/5lEnBHnbYYfLtt98GfPwDDzxgygZvvPGGKQfw8/PPPxtVOJmBCy64QLKzs808embIn3DCCUZPsGLFCnMbz+VxI0eONPXjiRMnmvN70IVjZG3j/R07J5aAb+efM6RO14G2bbfN+h/kh9cejMhAoS3Txkn64LMlGoCHgpU1YbYI739Bq362no9O2TPl2xf/u9ftDCgqrpspmw+8zLZ9KcLDJ5cPlD5t7DGIiyUoGagGGEu8r8OaAerSWY+ebNrA/JGRkSGbN2+WaESoNLyZ6JhRW4Z2yZRHLjtWdq4LPZIVEMRpeUMN/p///EcuvfRSE9DJFNxwww3y3nvvGVLASvC6666TunXryssvv2wIABoDHk/24MEHHzTja/laIKobcNb1sqKJfQE6WHp56/S3pcEhZ9g3Sc7rNd4BpMX969h2T62zUvBFG5ZLcvMu9o/GtRPeEtk25wvjswCaN28um3aV2D7FLzlBZOUzF5ade7Y74IgTZHFRY2M6lIADoOoGagSxUHZ1AkoGXN5NUJS7Vv5+4ZKg9/fr18+sbmiDQvyEYI5AF03YvHW77HfIcLniqqvl2GNGGothq6ZHZ4BvNiQU6CAg1X/IIXunyNEK/Pvf/5Z33nnHkAI0A0yZxLGQsstXX31lbsejnqlyZ555pnzx/U/yRfF+4k1Mtn/Uq5/ID8Ga3TPmIRpYCuMkaAGClH787fbPsy8plvy/F0tys06OjMa1E7gsrh37z3cq89R7JK1tL3tb8bwlsnvlr+bcG/J17HWS0CJ8MajCXqhmIDiUDFQTY8YvcsxljzQ5q5jNXz8X8nH0fdMbbb2VWMVCDqwfSAItdG69QBOMR48eLW3atDEiLt/j7N69u3GFCwV836n5QoLoC3/llVfk9NNPD/hYSAFai7feessEf2u6XOPGjQ2poq2M0bN41Tc49jbJyk+TYpvf2rTkBKmzfr789smzUrh5tRnyg0mOk2nxkty1cuKJJ8qn3810dF+508ZJQ5eXC/ierN6TbWvcsafUOfl+R89H+oBTjFWzqzMmcQLtJggOFRC62GWP7W6Z/XnIxxA4aZEjPe4b8L777ju55557TP2bnunMzEwZPny4SZljxoN4jrp5TQPB3n333Wf+zsrKks8/L/96WckGA6v75cuXGw0Bz8NGl9vOOOMMs+oPZCULKYIoULsF1nQ5RGX77ruv/PLLLya70LjjvrIiz34iAPIKS+T0fq3Eu2Wd+Z9edicH1zQfdIrJlnzwwQeO7yuxdgPJnfpG6f8uXWfwncHe2KDTIQ6ejxJDjKoiSFSII4srSo+KwFAy4GKXvbyV8ypsDyOtTQC0ghrBk9Q6NXRrhY3Knvo3QinEdWeffXZZOYHVMAY8Tz75pJnjjk1vJMHx4NkOON5bb7213Dx2Xl8wsMK3nN8QApIdYAIdWopHHnlEjjrqKNNVACAKb7/9tlnxcztE4cMPPzSZiPPOO8/8/7///U9at25tSga9T7xKEh1KpPDe/rqzXpnVLaY2Tg6uKWm6j3lvI7EvBgpt++l9yZ74pNERmPkKYSBSKnvLNTGlXR8Hz8eey6tLM3LxBhZXZx3UpqYPw7VQMmAD7ju+pyTZTAbYXqt1wTsVSP+T0r7jjjtMipuVLYETi1nKBmQHmJjGfVjPtm3b1gTETZs2mecTMBnMQvD88ccfjREPvdaQCIR0tNzddddd8umnn5qA6cQqj+Mhe+E7ZGjRokXy8ccflz3GavXzBVkQMh0IBa0gByA2P/30k3nN6AdmzpxpNAEQDM4LOgCIElkTRIKkzTkvr776qiFK559/viEFlC3e/n6BI1kB66I0ZfFGY+fbqGkLx/vzE3HPS04zo2sjNVAocdUsWf/KVUazALze0G241v35a6vvRVEZeIsLI3I+nIC2JVaNgLNo65RZ2kqq2BtKBmwAk7Dustnicu34x2Tx7OlBV8YETVbziN3op8d/AKtdgjn3UQKABLAShhTMmDFDVq1aZZTz+PZTZ0dZT7kAtz4Cca9evYwBD+lyWvAIipACyAFz0CELOLURPOfOnVtubntVgJiP0oAv0YAYMEAIK2HS+QsWlAYT2gQPOugg005J9oLjQ2PAYyyCAzhWyM0+++xjugsgMpwXVvzz5s0zq358B/z1E9x/7733mtdXu35DM3zHSSTvCZq33f+YRCotHqmBQsmNWpjzHCqrEwzeIj5TzpYXjLVy7rqInA+7jzthZ7YULPpW1r76L9eWYdwIFlcs2hTBoYUsm3DaAW1k8458W1z2Rg9pK7c+OjXgqthy1zv66KPNCvqFF14wK1xq5Ndff735oZ2OFf1HH31kVsGk3fv37y9dunQxQkNWz2vWrDEXa2a59+jRw+gOyCawYmaVbAVgNAfU2Sk1EHSZvPbUU0+ZCxFZBbILCBR9xYqszCuD77//fq/b2C46AISDmAFBeFjR85ohBmwfEsC54XgpdZx77rnyxRdfGDEghIdBRDyW18322Nb06dPN+YLw8Djf/UEennnmGVM2oMxy8MhTZYnTQcLjkdbd+srg/ztUnlwyK2Jp8UjghptulssefkMyzn6sLAXv8YRed1j312rTUzzG5Nc5QAQQD0bynNgBiMuad26XFum1pEP7drJj+2Yz0llRMe4e1UPHF1cA7SawGVUddkMaC/bKh/bUA9rImDFj5O67796L/XNBwFaX4IYLIcGcFfayZcvMihdScPjhh5etePAhGD9+vCEG33zzjckY0I44aNAgozWYP3++TJkyxUyfY/WPqQ/iOtLsZBvIKMyePduQCAIlqXieT7rdCr7Y+xJ8WYlbJMIiBhZJ6NixY7kgDAjo6AW4nYwFKX32BUlBD0CHgf/8AMSBkydPNsQEkoKNMMeJqyC3cS44dhwGr7zySmNE9Pjjj5usBpoCSBQCSvaBhoDsB+eA44MoUHpZsc0rzc99VJxG0Zf3S+cO7WVF19Mc39faV0abz0Tz8590fF8Jy36Qkk6DysyU3JZi3z53gvEZcPWApSClFE9hnniTa7nuvLoZN47oKlcOLZ3QqQgOJQMO4KcFS+SBb1fJ/I0FlXbZo55FGstirwQ2ugD8swMEdVL3rPwJ/ARCat2s/MeOHWuCKUGN+/Dd903Vkl5HKc8KmZGtBG9KAscdd5wJhmyLQItrH7VzbqMDAZLBap+SAlkFfiABVnodQkIKn785XsoUEAR+yFIAiAfH5UsSEDGScXj++edNMIcUYAh08803m0xAICxdutRkIyiBYBhE3R0NATbD6AggERdddFE5rwVGFZMxGTx4sCmpcE7QK0CAUNlDONAeQJQ4t0edeYmMmVm9EkhlsPOj2yV75WLHh/xYrXSgzXUfOCpocyMBCOZAGC0DlhThw39xpagYSgZsBqtPVuwEqJ8WrajQZW/Nz1/L9nkTZcEPk8xq2xdXXHGFCfBWixzB8tlnnzVueYDA+9xzzxmhH39DAFjVk1on2JNOJ7gSHAnGvoAIkPKHXNCWhwARkR0lB7z9IQ4QA7IJBGD2zcodcsAP20Y3QOYAckCQRUPASp3sAQSBH0oT69evLyMHrMLxDeA1cRGGDBCY+X3SSSeZwM15CHWBZuLgu+++a16D1XkAEeE56AL8iQSPQYfw0EMPmb+t/ZLBgNTwWi655BJjV4wjXSScJfnabXzmLMnfuU06XfumFKQ0cNxkh8/N7x1Pkayc3Y7ty7qc2OVsaGegDmTC1OLSsa4esKQID8EWV4qKoWTAJnAaqaWzwiXgkMKmpm2BAMOADIYOpSQllLnssfrncQRA+uWpb1ugdo6BENsmkBG4qG0TuAj4Vmsaq+L//ve/Zv+sjhHCsfqmVY60OcSElDmpc+73B0SCfZMxIONAaYHgyioZckDQRHsAOeCHdj3IBaNfLXJAFoFgb2UO+MG8B6DYHzhwYFkGgdfBCp7SBq2BBG9rqBDgGP11CJQROK+k+PEl4NxQ1uC1s2/OBVkIVv+8BoIIx4nYEQJF1oPj4FyzHYtEnHXWWeYx6B8i6SxJgE795n7zeiZtbuCYcZWVFr/psPYmOzLilhflr8RWjrTTmeDNH3YGcJsIge/UQl97ZiYU1us7Ul0Boxy+Fua0D2rXQPhQMmADUOuz6ho3blzZbe3atSsT4oUCgZYgxgWPAEt9n7S8BVb2rJyfeOIJ8xjc9S6//HKz+mZVz0rWAgGSFDtCOLoIIAMEW2rmL774olmNU1IgKBBAA4F9/fDDD4YY8MOxEZwpJUAMqL1TLpg0aZLJGiC+g0zwOsiIQAz4jfgPkaIvOSDgW0ZH1PXpaiAbAEmgZMDkQNL2vlkEugEAwZrXz/N5LMeE2JFVPaAjgs4KdAAYK0ESLJdBsiWUBNgmxIPzQAaD12QJMF977bVypQUnnSUJ0Dt//VKOaZFndBH1WnaW4Y//0yJpN0Z33CIXn3KMnHbaafLdnD+k2QVPSzwie+ITsmPBN+Vuc9r9UeE8Hj25txzeo5laDFcTSgaqCabakVb/7bffypnlsNK3zHRCgfY+AhUgFc8PK1VWrMFAEGTiHm8dAZvVti8I0AR8HkfAJatA8GSFTEaBtjyCMGUFSEUw8HrQD0A6+IHc0Lo4atQos39eN8dAvR1iwA/nAbCat7IG7BsxJFMXISe0NTJPnhKDpSkgbU9XA1kPyAH6Ao6TwUEQGUoCPJd6P6TH0lIQwDl/lDhY/XN8ZATwUWB76BfYDlmMyy67zGQ7uJ8uCcofnCcMiiBvZBQgSRzT0298KG9vDUyY7MAJqYvkg5efkvXbC6X9KbdKQUZHR9LiLZN2yjuXHmyEk7Rxcl7yB1wsSa26iyfBxosnK2+bygPBtl+VjIN1Tnct+Uk2fXzvXveTccrd70xJa9tbswNRCh08ZA+UDFQTrJBR7xPMfO1vSWFb7nfBwCo8WC82QsBQgZo6PCtaHkfpAF2AL3hbmdRHpoAVOoHwzjvvNMHz9ddfNwGQoEpgZoAPQTvUhZztsVKHFEBAUN2TycDNj+PgN8SG47K0BvSaWyOWWYlDIli187ogPUbYtnq1yRrggkg5A+Ekq38yAZxPfrNtdBEQDMD9iAcxXELvQInA6mTwBd0PZDLIpFhjiS1s377dCCw5VrZNxoVjJziQQeB96XLpk7KjdgspKU1+24b0Wsny+VWHyLQlG+XO8QulsLjE9kBkpcWPLJktn771sjlHvF+ct4x9D5a6I/8tJPXtSsHjDVBR+6ANO6paCWLP87BJ7layypwDy2nTdJCs2iAtL3lOvAn2D6SKBpCpSmB2gkfEIWd1x6CDh+yDkgEbQGBk5Uvw5WLCKeXCa634g4HA51/DZ+VG8MJdL5QvP2B1jEkOanyeQznA/zm0BJINQEcAENJdffXVJtgR1Fl5k74n0FodCP7180DggsrzIQcICQk2ZAogBrQtkn6ntAEJoOzBcZBBIGjTmUALo68YkR+eT3qfDAIKf2r8rOqtqYWs/i3dAa+TkgpkACJmTRzknEB42A9OjHQbAO6jC8FfhwAJQUjJa4acAbImCDd3eFNl2GNTJb8otHteuMCsks8JJQgn1fekxfP/+N58piBlCfWaSOcz75Rd9dsY3/wyu9w46SIAw+tvkJduvbCMvPOZQrty91uT5eXf9h4THsvAzQFCuHvFPNn180fS7PT/SqG9H3XHoYOH7IOSAZvA6pKedhTp1J8JVgS2UOAihEAQoLrHdY80O+1+4YA0OgJB2gsZRuPflWARD44R4oBokWOlxm6Z/0AKCIoEYHQKBEn/DoRgoK4PMUCrgAWwcUpLSDBuhhAU6zUSqMkCWCUFhgLxWI6HkgoXZ9L1kBLmBRDMuR/BIc+DTNAlYbU1Gre7PQTAmj547LHHysSJE83rowSAARHnhayGpUXAEwFyYoFtkG3AvwHC8NJLLxk/A87r+EWb5eaPS0sf0QArKG+ZNk62znjP3EbGxtthoDQafmlpBsKmLIS1r93zv5JavY8Qt8N8Lr3FsuaFS6VeQoH5fqJtgWwiaH3m++XScMg51S5J2E20nABtd50z68o1h3WStx662eid6vc5QhoefpVEU+fA2f3byhib3V/jFUoGbACrT4IoAYRVOPVwVmIE+FAgeBFwEM1Rq0bBzxAhAli4oP7OqpwVDytr2gADAaEdwZZVNUESkSFBEBAwH374YdO2R8qe7gN+sAAOBVbUECCMkki1sz0+VhwTr5H/OTZ0Bpbgj8BPuYIuCF+hJcfPcZElIGuA+I9yBnoH9kG2Bathzi9dD2QBOP/Wx5hMBFkKBIpkED777DOjneA1ICjkoocAkjIO+7GCAcdKeyXg+ZADxIYQii0tD5J3fy/NMLgZaASSEhOk5Od3ZOV375Td3mDgqZI++GxbV+/si/Tyvnm/y7cfj4uISZMd4JjzVs2XRvPfNtktCC+fH7JVfJ7OvvM5mbozs1RPEQ5pKimWkuIi6Vzwlyyv002iqQ3vkE6Npc6iz2TsY/dL/QGnGEIULZmeydcO1s4Bm6BkwAbgYnfNNdeYlT4r26qC2j3padrf/J33KgOEbwRcVr9kAFhdBwOugwQ6+vJJi7OStjoMWHnT7w9RIZiT7eCx1oRAC3x0IB6UHriwolZn8BCpV8DFlTS+5X7ICh6zIEgPpQm0DJQLeN1kNhD5cT+PpZURUmWl78kSkEEgC8FF6uSTTzY6CIgGXgs8H/8BjpkOC99JiPxYZQSEdGQ9IBv+eg1IEK+VtDpEjq4Kq/uh3n6HS6PhlzGKzraVtV0oW6GvmCs5Xz1jWufIcECcBp33b/mxsJ19+9qz6k3cuESeOOsgOfuEo2RnSsOocvIDDWc8Lb9O+2qv2xHfLl+/RW58f66kte9jyENl9Ry8D6mF26VWnbqyJd8bNYJEM3G1pEg2TnxGdiyYJHV7jZBGIy4zo5fdfMwDO2TIuAv71/ShxAzcncuKAhCoWF1Ta68OEQC0JyJsQntQFeBtgOkRnQi0EKINsIKZP6jjIz5kdU4KnuBBwCd1SpaD9D7qcyb+vf/++ybVT7BHHwDYD/V7Vvys9gnueBpYRACw2uI4mBtACYRzhLqf1TpEAPJBMGd1TpqfdDbExLJDBqz8WanTvon6n5UcRIAuCTIEBEHEkwwognywDx5rlSa4QEMEIBWcC8gLIkbONcSBLIHVBcLrIxjwnpKtoCyBAJFsxaAWibLt3ZukOM99GQJrBZczeaykFG43okiyTXWatpHpu5rbNtDGbMdbIrsmPih/vjBa7rrpakPYjNd/FK0pCPBF7QeUuw0hofUdguA0mDdO1r54ufFoaFE/uVKvj/ehIKW+bCtMMEQgWs4J2YEib4JkHHW1yQxACDZ99pC4GTp4yH5oZqCaIABSHmCFjTCtukD1TgqcenpVwVtKZgAyQLAlmAcyG7KA2I7SBNkBtA6o9HE/tMSI3G91INC+x8oZYR9dAWgNWN0HA1kOsgwICgnGZCtYxZP6t9wPIUAEa0oTVqqe4E6nAdkEAj/PgzBgjkTmANEmF1/8FPA1INXPMbINtkeLIccP0aAsQvkFESVZCcv3wBpmBPGgZGAZI5FZgBiwTcgDz6NrpFH77lLv1IdcG+B2zJ0o3z1yuRFHck4WNv4/SWXwT2KSvaWI7L+k1bJPy8ZH8961H/26FKRGT3tXcv4WWfbYP+27fD4oIUEkIZUQXEpO/N/20NNF9j9FEpKSo05tX2Xh6fplrs72PHhCT7UZthlKBqoBTh1pbQIt4js7wCqa4Ed/f7C6f2VBmpuVNitrglqoVkVAvR8i8PLLL5uSAIGevnyCLivl22+/3Zj6sD2shyE/BFpW6v4dCFgOoz/AYY+SB+QCcuIrbkTEB5mChJA58AUZAI4d0SOZikAkgwwKF3BEl1Zbp2WHTLB/4403jJGRpUvgWDivlkCTNDr/+xoj0Q7K66VMQJYE4SXvMx0Sf9TeV+oglHNp+rcwd53kvD7aHOv3cxc7aqZj+fsDPv8HXfk/+XVn/ahJjVvzGphe6AsIJCUpCCUZpLE/ZpWKCuMFhIOSQvn7lWukxUXPuFI3oIOHnIGSARs8BkjLhlodhwNrQBD9//S+Vxek49EREDDRI7ACqgg89sYbbzQEBxEewZhuATICeBVQV2dqImZGPIbyCCUGSgKIECERCBRJuWLPjJGQlfYHlB/IXJCmZxXG9skCsEpnIiLBhe0Q8BH+We6HVosiGQVIAF0QBH86CAiACAUhAFzQySigCaBcgGiS0gSeC5xfsi6BOiX4KlCKgBTQkcBzID2AANH8khekuFbgAUrugFeS8rdKzm/TJCGtrtTpPsQZ22GfyX+A4VfXjnlI8g+7UaIJTHIs3BjcJZTaOanzuIO3RPZrXkv+2rhdtpW4Qzegg4ech5KBaoBULDVTgoudDJqVMitigmGw6X3hgACK2I40OsGZIF6RlwCrZlbzlqUvqWcEdtTpfYFY0epAII1PvR0yg9bgzDPPLJufwMcMUSBiS4gCt0MuICv8pi4PoSLz4Ot+aHkZUJ4guBPMuY9aPqUDiI5FNNgHegOOg4wG7WIQDasVkePib4SKZEp87Yd9AaHAtwGSQ5YETchH4ydI62vfd+VKyR/hiN6qO/yIkg/nmu9C5ql3S1qbXraWJZzEutevk4J15TNSFpIaNJXmFz1rRHS2ukJG4L2xC11StsjSwnSTLHAKVZ3qqrAfKiCsIhDMUb8mTW53gGDlbbXe2QFWz1gc0/bID9kMVuSBwIqagE3gJA1Pah89ASUEygIEWKuujwaALIJVe0cwaA0MQkPBbx7L9hjARMBAoEcQphZLsCV1DyGgRusbnDmnEBZW5rgFAnQAVpsj4kdW7/gOWPfzHIYYQSKwIoYocIwQCu6jnRBNAZkctgWhoIRARoHzjTaCc3/uuecaDwa2g5YAB8S0jFZRQQRAJIJNUsPm0iAj0+hlMMgCdDIQ7KJlfeEtDiyuBY2OuNKcRzvfcy62xTtypGTrhr3PER0hhbvF63WH64/HWyK/LlzsKBF4+Zz9jU8AxkH+Z5n/uZ37aR+ka0CJgLPQzEAVQbAgIJGCroxjX7hgVU3GgZY9Vrp2gdQ6NX7S5HjxW6JHgjnBH10A9XUCItkJyxeAgEtGgVWyNbEQgyECOcGS9kBS9dTcsUemG4GsieX0hlYAQsFz2TZqfgYOWaAcQS2fwGL5AfDaeR4Bhw4JjpWLM+fcyhhAyiz3Q4K/NfwIgSNpfkgBq1fOIcdENwSvESLB8XKOISxkF/gqkEVBMEiZBMJkdUOkNO8SNb30kcL2D26VnOULojK1HkgzYGWRnB5etOWt62Tb+ixJa9JaElPSpFO7tjL/x8ny5MtvyiO/p4lbkJrokfxiZ8IDK33ftsBgU10VkYOSgSoAJTwCM1a8pJOdADV5ghW6BMx37AQ1e1K7iPxw2yNNz4qf1TzBlNV1IBdEgiOBEgMgMgissvmfcgJBmhIBJQDOCz4GBGkex0eMtkH6+7Ft5m9fINZC9EdpAgU/gkOOD30DpYNQZIuLtzVhkawDQR9RJ0Ge44QUQGr4//TTTzdBH50DXQOUHXgOZQ5KM+yH47XICwJC/jcdFo+NlbFZGba+D9GOh4Y3kXOOGlymq7AQDcY1VpnDF3yWIaMNDr3IsbHGiR6R7XMninfO++b7ZJkd8Z1ArHrRm7/KjOWbxaEY7BqMu+BAGdQ5tJmZIrLQMkEVQNqcABrK1Ke6oCWQlTOGOnaD1T5kg9U9GQhsgxHI0X1AMPcnAhj9MGqX5yFCRH/Aapm2PhwKSbfzm3ZAhH6UDsgIAAI6qXiEfKzMeSz6AsoEbIMMC4EXgkUgpzRCBoHyAeWMirIurObQQXDsaCyeeuopQ1IIQpAUMgD8T3YAQSbZHNocabdELIjGAKMkiAIXYzIdZBk4BoIcAc34E4xDLBfjV+gwcf45Z5cRAYKahW0/vS/ZE580g5JoRXSlC+GKuXtl3Pg88n7X6tjPsVILQb5J7yFldth8/gAuiJBU6uLRVGqpCvA4+vaP0gFmCvdAyUCYwAOAoEJwJIA6BSuYWQY9doI2PlruqLcTiLkokr6nru8LFP2QBYyEaAGkFMBKnAFElAbIIBDcCcSUBqyBQgQGygm4ABLccSgkCOMPwCqbwIs+gCwEJkRkC6jN00HBcflnDioL/AHI1LAfyiHWRZbMA3bDlBogWaz+eB2IMylFWOJKMiWUK3g+JISMAcJFCFCrpk2kaMt6G85+bMAEq+RakpzZXjzJaeZzZDlYAoxr1r10heRllS8juAEE+sa5v5vSWKd9esi4L6aYMtDs5evljvsfkeSGzR3d/66EOlIkiSYDZrUko+shG/beK8/KtikvuTajYgfQC05ZomTAbVAyECZIgRM8WWk6DQIxFwyCkR1A0EetnqCPaA5RIUSDUgS1dNr6IACk+MkWUKMnjY5pEMGTtkJIA8/jsZj08DyyAFy8OC9c1HABxBUQwZ6VWSAFS/aA/UIWKLPweAgEWQJS9pYToB0YPHiwIR2UCcgYUDqAnKAxYKUPEWF1BjkgC8H0RwgJJRQ6JiiZ0GeOyJFjg/AUr15gJr0pSslqk9PuNcY0ba77QHIOvlpK+pwotZuVWlabzpKtG4yosKSwtFTkBpCpyFvzu+Rk9JAWl46VwuMelNun7zR6EF7La1u67pGvOXgMInLyBVeYc0JJiu8J4lW0LmhVvKmx77Wflb3L6AQU7oFqBsIANW1S5axeSXlHApAO6uEEKX8v/coCIR/iP46ZbAZtf2yXwG2BND1qf/ZDUKZEQSaAwM5+ERVSsqDVDpEgtXeEd5wPCAYqfLZNtoD9sOom3c7KmpIEJAKBH2UDMgAQCLYJ0UC3QLoZoyNW5dW1dbZAGQCbZVb4eBFAghhbTPcD4PX7Ti8EdIdQNiCDwTkha0D3AcRi9O33yenjFtlybLEIq22uTcou+emJ0YYMdLr4CSlo2M4V7XSldsrMDEio8Ra/sSd1lmMG9jSaFLQ1dMnwffn89xyp/X8XSTxgwuhDpEeL6HGtjHVoZiAMEAgJgNSoIwXS3tSvUf6HCwIdFsIEWQI0x01wxiDIIgIEYYIxaX9W8GghAP9DBPAGYBVNCpi2RAiRtfKmxsr2IBekiSEDrLQR/VFOoV8fHwJIBa+B/xFDWnoCNAZsEwLC3/ymJEH3AM+rLtApQFIgKIgB0Q5ABPifMc1kCKxjsYDPAfdBAtBOQCjQHXD7gO7tjAraDHZR7AUruGblpZoe/VG3Pi+FGR1dQQSAb+q9po+pZfOmJrtmfQfR37z7xWSpdXDFpmCxAjoHFO6BkoFKgsCBcJAVYiB7XKdAQKKrIBwhIalHUvmk4nHdI6gzUZFUPQERUEfHKZBVOA6BtODRKkjanho+mQR68SkXUDZgVcVzSWNCGpgpwBwF0sGk/ikB4DjICpxyBM+HLDAAhv0gFGSeQCBQNiBwsy/0CDgAcnFEQIiXQ3WSV+gDeK2UNHg9HCMrfcohnCd+aB8kewAskSQiQ4IHrodmAE1BgbkfgRdOaIoQoD8/KUXml7QyUw5rGtbnx3Q32NimW1WYHvpGtQ1h5vvD5wtNTd2hF0WNYZMdoIVQ4R7ou1FJoD5n5UowjDQQEhKQEbiFAhc7BIcEYFbEiOEIwFj/EgQBdXMIAkGPQElAZ7uUIljZsyK+//77zWOpYwKIAq8fy2A6AyBDZAQgDaTd2Q+OfuyTlTererIPbJsSwQcffGCEehwXmQ4ugv6wVuiUL1iNI1hE3U/pghkN7J/WxXCAFoHjhchxbtBGcIxkOyAZCBW5EFM+oNRBVgKhIVkQyBQiUbQCRx55pBl4RHlozrRJctsRXcI6jniEtQqv6eBrygHWsbhElNcmo7Ys/HWOIehk4BCrbi5Iklrt+7p27oXd4J3AS0DhHigZqAQIJKx0Wblao04jCWrt+PWHyg4QdBlbi48/KXvc8wigZAesDgIyAGQC6L8n+LHCZ5usksk+YDmMqp4giiaAFTPPR/FPsEaZz4qZ/RAwWU2z4malDVHiHPkaCVkXYIRRkBLup62QoAvhYD8WWCFZAkIujkwNROyHhgD9AZkFiAfHbpGUUOD14iVAaQJdAnXZo48+2pADAPHhmCidUOZg24gpEXNBEihVkNGAmHB+cGJEVIji+/IRvaRlduko56qiLNtBG1lJ6ZAlhf2o6XKAPygxDe2SaTqSIOS0wvJZqNvnSNd8DjjGNIdX7RAiNRVyF5QMVAK0/7DipfZdE0DMhjqfQE1A9sXChQtNTZ9gTnDlWAnO1sRDzHYIxijk8RDAgIfATRBkUBAjfS3rXQDZee2110wGgQsWpQNIAv4BpPNZ2RMscQlEB8Bj0Qj41979QTCmFs9qiNU50xEJwCj5IQGWU6E/kSAzwIoeYkBPNqt1MhOI/OgUCAQIByZGnA9KGOgY2BbnCq0EOgqyDOgoIERkDiAYvMdfffWVyWxAEKxj4Jxw3vBPwP2QjErBvPGlvfSF+Sagh6topwd/SNpqqfXdQ1L0d2n5RDsVYh/47J/YO9N8RvEpgZzj9+Gkt0G4oAw2smdzx7QxFiFSuAtKBioBVrQEV3rqawqs6hHvWYN8aPXjYkKgIs1PWp26I4pkQFCj3k0AZWVLqQD1Pqt6sgKQAAIqKXtWyWyLNkFIAelwAiLlCSt1TpmBFQzBmQsZK+dAk/8qAgJFgjCrcgRUdBfQ0ofAL1RrIa2BvEbIBOSFzAIrK1oCrUFECCYhK+g6IEgQGUoUbB87ZTIO6CcgJQgZ8UKg/AIxQRgKWeJ8kRHgPjQP/rB0GGRibjrpENn+3r9l96r55r6KVnbW/XlZv5ke/A8ful4KctbJt7cfJw8OqSeFv38n3u2bwj6niugAQRAB6q/TvjKfR75zfKfWbNgsSenOehuEAyYDXjakY8gBQtUB2z3rIJ086DYoGagArKwJGE4MJAoHrIapwaO+Z1VPUMI0iDQjgZW0OsGUgIn4jjo35IFgyKqaY4fQkEGgvs8q3LJUZoVP+p/SwJgxY4yYj/Q/IsGLL77YrKjp1WdULeeDgFmRfqEisA90ClOnTjX/8xsyQlo+FOg64JghAOg3yCxQskC4iC8CtX4EgOgZ6HigLEDWgfPG35ApNA50CODhAFFg1X/NNdeYmQWs/PkbMsEMBXQSvkBICLHi+PFdOHLwgTLtrlPknbO6S78Gu8Szc/NegkfjYpiz1oz93fbOjXJl9xLx7thsshFkRzivZx1zmHTInS0//+dIad3QOTOrsmNySUo6buD1mhU3AlQybrTX8lnmO7x8w1bX6BluHNHVjAju3LSeI50zFiHqlBn7XgrRBvUZqAAM9WGVjACuolS4k6A8wEqdGjhBjNUppAAnP4IKQZDVLKt/sgOUNFj9U2OndRBiwAWH18DKmhU0AZ8VOQOKGAyEip8SAGUFVuxkQvwtW1mZo0ug1EAgHjVqVLVfGySGVD41eUgKr5PVutXmWNF5oZOBEgofZV4TpAdHREoBiAMhP6RjyYRACDhn3MZrJ1NAMCZVSzkEbca0adNMBwLkguwDboYcIyUROjIgCJxDjhEfAwtkYyARxxx/kpkF/8eSpWYyXlHuurKBOAR/CAerQrolyMJQpuA37xOeDmPGL5Jxs1Y5tjIDtXdvkK27i830QbcEoljHgyf0lH6NCk22je8bjpiQ8121MiV7/wtq7LgI0BAVMgIQAQurc3bJsMemSr6NLYCpSQky+dohOoHQhdDMQAgQ+JiMhxNdTREBAgUiPy4grGpp7yNDQN2a/mQCHFkDBG6scikV8DeDd1j5kzmwzJIod6AFwC+BFkKEiYgNqcMjnCOrQJaAlQslhkDTEjkOSANpdlbjZBKq6xzIfvBCsOYEQGzYD+TGfwiOLygLkB0gSEPaKD9Q96c9ESLA6yPbwCAYsiWUFiBKEAisiyE9rNA4XxwDr5vXRhYB0SLng1IDhIcgTqcFWQW0A9znSwR4HroKzsuubbkyf+oEKVi3RAo3rjBEgPeNfUAE0E9QmiF7QSDmWOgCQesBzuzfxlEiAHbVairbZn4g6548XW7qVSzr377FNS6BsQTrnBbP/cQEWj6rZOD4bNKpQrnpwvPPrZFjs1b9AztkmADtSwQAAfuuUT1s3SeEQ4mAO6GZgRDg4s8KEpGZk3MIAoEA++GHHxpff5zwWEUQPEj7k85G6c/KnJU0gjwmAlLOICCiiifw8NYSyGjXI+gR2FiR0GXAqhiRHRkASgy0zoV7fARXSAmrYbbLRa6qYGXMeWZVjo4BkkG6H6IDsSFw+65gIWqs6imREPwJqNg3Q3wQOkIu0D9YTom8VkgQAZzADjmgTEG5A90F++NcUyKgZEJpBfEhLZKcK7QWkLJA0xwpo1CSsMgBxMD3a0WGhewNJILyDYHfIlBkb+hQYH9YP3NOyeqc88rP8uPyzcbH3QlwfIgYz22cJY/f+x/Jr93E2PEq7ANCUY+3RLyz35es7981RBudDGSeUhOfBb6rTVu2kaX7XR6xDI1nj5ofER+1+4pS9k9PWSqPTFpiSwniyqGdqr0dhTPQzEAQsHKGxSNQizQRYIXIKplUNKt7yhSUB1jRsvKnbs3/lAkQuXE7K1ZWyVxcsDYlhU06m/Y/ViDUuAlo1CghOQRRtsXrC5cIAMgGwRNdAWl0shK081UVbM/qJiBVT3mDVT4BlqDPsUNmAIQIQSEiLAgQr48sBUQAoSUlDMookALODRdZbuNYeQwaAUge+ge2DwEg/Y8OAcIFgYA8QLIoH1B6YEVPtsAfVlmmZcuWZtv+RIDj4jG8Lxwn7Y7cj5gRAsPrQpAJEaBEwyhpSiY5k56RooLSqYlOgHOCwc07y0ptthOTUx3ZT1zCW0r0GNKU/ea1hggAaxYInytKYpSVeL/777+fFG1Z5+ghNW+QJp9cPtBYAC8cc7hMvWGojBnVo1K1+6uGdpYHTuhpUvzhagh4PM+jRKJEwN3QzEAQsPpmlU1AtQbuOA1S2gQxeusJ7qjaWXGSSuRvAn+rVq1MsOS4CEAQBS7svI2k9q2BO5Q3WK2zuiW4kUYnu8D2AqX/qwMCJToCnAcpZbDyCRdkNiAoBFN/YBDECp2uCMoHVkcBgZ+uBogbgRqSwKqfsgfBnuOAVFAyoORAGYByD/tCQIiAi7ZFSAXP49wyx8ESMVIegkyRqUA/wGMgalbJiP0SzNk+wZ0Mju/XiWOjQ4FjJuBD0MjK8B4jTsT3gEDMYyh5cPwco+Wj0HTgCZI22Pla8t8vXiYJSSnS/PwnHd9XLMNacf81/XNpnPuHLJwxucwoi/Zg9CuU/cgQ8fklG8R3h8/OmY9+KtM3JDjSXkhAPrt/WxP8qwM0BLd+8pv8sGyz2WaoUpZ1P2JBRJNaGnA/NDMQAAQHBGgEm0gQAYIbqXpWo6wcCGQQANLTrBIRGeH4hx0yAYYLCO58EAFWkwRKAinCO4IJqWdWu2QIEAeSnkScxirXbiIACJKQDrZPyQCRXrg6At/MgD/wMSCIUjLgXHHx5Hxwu6V94HZEnqz0aYXk8WQC0EpQMuD9JDvAuaK8wvMhXZQiCMYEcTIFiBYhZegIeA7EAPKFRoASBpoGgMAQEypKEFzgfYkA5Iz2RggA5RkyTJQ5ICCUfigF4PvAcfKaeAwkiCwH3ghkGshGbZjxseROfcNs0ynOTldBvT5HSfGW9aoZCDPw/3zLYfLMMa1k3evXyX8PqWNW3B+c00PWfPaYnDBsYBkRoAWX6wiZLrICfKb4HNChxGcZjDnzMMd8Buxq5SOgj7uwv3xzzWBDLtpm1N5rvqOxWs6obe6ffO1g83glAtEBzQwEAI51fFEJGARWp0CQJrgQkEjVk74miBDIEPtRzyZFbdn6klYEvGUECwIKK1cCPs8hQKGkt3QAkIFIAgLA66H+ToAmCEJWKgNKF5Qt+PEHWQ4uorwe0vloICzDIW4nEwARIqDSCkkWJRSJo3TAOec9ti7YZGIQK1rmQwR4ugtI5dP2CFmhhMBro/sAHQNkDPW/r/kR/xPMeQxlGzIH6CF4fyF5rA59wWeMbA2tm5AWsgPMUGDfBBHITsvRb0pSnXRxCiVb18vq5y6SVpe/LIkNwi8ZxSMIeKTaIcF8dshaoT0h00SXCMSUTB2CXTJzfGdZZPB+UhqgXMd77zs59OyXZ8mMv7JtFY+yQkcgSFB2AowhXpm90wwdYtYAFsPqLBid0MxAkIFErMCdIgKsJhHe0R/PipMpeqxGCeasshEH0gqHJoBMAbV5Lh6o0Al2lAu40FB3tBz6aK+DPCCaIzhGmggAAia990xYtEodrNgrg0AOhARnVuisqgmwZGoodRB8IT1oCciEIAZk1Y92gSAfighAWDh/uC9aRABDJfQIaDFYtfH+E4jZNiSMjgzA+0D2A8EfQYALvC8R4DloGXCB5DhoYaR8goCQ98WXCLBvtsuxkw1guwQHRI189nj/eK89KbUksbazY1499ZuKJzlNhnVv5uAFYU+Ai4G1B06R+zYqFehSVgIQOMB3kvcdjQ7vI1kivu8QAUCmis8VGSFfIuDUECzL28ApEPgZQ9ynTUPzW4lA9ELJgB8IzgRgJwYSEdzQIbACxBKXoM1q1iIBqMhRG9OixjAdMhTWWF9q3qy6WY1SayZIsQolOBJESM2TKXADEM0RLAl4BG0roxEKvrMJAK+JVTXKflbh6BE4P1xcSd+TOeFckGal9s/KmlU7pCoQ2DarblZvZE24GHPuCcKUBiBbrN55HFbE7JNj5z1iJQepYd8Ead5HSKN1gQeIFckiIKIkoEM4OB5LrGhNiwSUB9g2+g4yQTyH95vyAZkPiAO6Bt7Txm33cVxlbiyXBx4mNx4/QJybMegpm8OAyj6a4RWPjL3pLFOSglQC6/3lM0lWh3kelAL8E69Wq2wgMaq28ilqEkoGAgwkIi0fqIWsqmDFi/qfgI8ojRQ6ojhWDAjTCProAri4sKomLc5zeBxZA4I8gZCghC8AQY10I6l1sgLhTvOLBHgtBDU0D0xmI7iGqkj5ZgYIpqywc3JyTEAkoBJAmZ4IySDgkxkhAJOepV5PWp5zAplCnAehAwR3zifnmUwCWQC2RfAnc0HwRdCFPoP3hKCM2AtCQHaGLAMkgXIEegPOPcfqS1zIIFn/o0fgPaa0ACEgA2TpNNB5sB3OCdsgG0GLGWSEgExJyKj8PR4jNmTfCSmRUfnfc9/98sx9t8vuFXOdC9aeBNPB4N2RHb0uiN4SObhDIxk/bqz5/PC5A7ynkHU+n2SIIJ2WTXYgkF0KhNMOaCMjuje11U1QoagMVDPgAwReEAEu5NRxqwtOLdtEPU4vOsGdXnjq+wQVLvZM+WM1YaUbWV1yoWDVST86hIHuAHQAKJAJgBYoC5B6JpvBateNIEhSOiCoW2n9QDMNmBdAgKYcgOkP2QWeiwiQYEp3B6QIYSTKe3QBlA18BZGQIoSSBFJU+ryX1G4594gNIRVctP2B6JHHIcIk24KbIQ6BeDRAtgD7DJTBoAOBbgNaBiEhZBLIVJANIKMDIDmsIK3hRxA8SgDA6kyAjLCipEOELARGSezr+fe+kHvnOLdet/DcsW3kqAG9JKlBU2l+0bOSkJyyRw7mDLZMGyd1ex8uSfWbkJqQqACXypIi+eHmEWWrbSubQzmI7yufO7JHEL9QIJNljRV3oqf/8O5N5YWz+1V7O4r4gWYGfEBWgMDLKr26IAVNrZiUPgGc+jABnhIA/easnAkA1LkpE7AqJOXPqpR2OMoApJHpHGAFiWjOlwgAtsEKmce7FQQ0VkysziFGBE1KAP7gIorpECtltBKcI4gAq26eRxsWNVhKB5AgsiL+nRGUDBjChAkRwkXStKTgWalTqghEBABEhQAMCQAQL46TjAO3QyQs+BIBRJxkIHhPSfuz6oeA8N5bRIAOBVaQ2D8TMHg/OXaIIkSCzwjvL8SGzwflBwSOkARSyTdfeaHjKn9C8fknHW3+Lt62US7cD/Mo5wI0r6f+gFMlqUFm9BAB4PHIrh9eK5d2t0yuyAjxeQVkodD3BAPf20BE4N1fsmwhAuDr3zfIe79k2bItRXxAycAekN4jI2DVpasKVpdc9AnurOpJ7fObFSOrT1YN1L+pKRKwWAmTHSB1TVqZdjUCIYEI9TqmQ6FAkOHxpLrdDLIiBD3EcqTyERhaoDRCGYWVPeeOsgklAgIkAkKCLdkTVtuQikAXUgIMF2O2DWnggkuXBdkI9BkI9RD2BQIrcjIrZA7IAEAy0CXwXiIahIz4g+wGrwURGK8FTQedHbQTIiDj+An6kEsCPOSOrIgl7IQQ0U1CuyLEA+JCEOF1sl06Mcg05GxcJ8Vb14uTSNydIxv+Lg0cZKz2Sc52tKXRMjyKlqSkdZwD6myWTTM/MyTeAkTeEg/yeYGQ8jlEWEpZKRAQ/Qbq4b9z/CJbj/uO8YvMdhWKyiCuyABtMIvWbpV5WbnmN//7ZgUIvBUN3glWn8cECNEXgZ06Nh0BrBpII9JexIqfx5A+REBI0OJ+esv5nyBHcGBlzOq3soSE4ImOgOe5HdT80REQICE96AhI+1MWoTzCRZcSCitirIPRBtD+R8reIln+4DnUbXFs5L0jSFP3J+MCEcB4idU522Sf/AQiThAB3icshwHkgVW+NQDJFwyKsoyB+DyQ0r/oootMBoLHcux8lijfIBilXdI/KxFo6iPHTEkBUsF5gmBQHsnIW+9YfZ3t5iyabv5GAc/nFBK27af3pcuW2SLFhY7s15OQEBUDktBPJCeIceC7/ohScR+OkhYo71niQToJ+IyTFeBzSGYvEMgSkn20JoYCzHyKbPaeZntsV6GoDGKeDCzdsN1MgRvy8BTZd8zXMvKp6XL8czPMb/7n9mvG/SifT5td4UAiVntcMH07DbiN/7kd8xrEcqR5sR612s4IMlz4qHmzamRVSG2aiwL3seJl5RwqtRgMbIf6MytrX3W7W4FOggwI6XyyJugD8GinREAgJKCzIiYgsULGppeLpv/cA4IuqX9S8JRiOHe4A5LdoXTiC4gXgZbzzLlnBc45sy7EgOANgaOez3kkGPtnEngPyQRwXFzoOfeWVTWaAJ5PRghiwGuiJEBmwzKW8ScDgQyg2AdlBl4zBI8Sy/M3nOmYIQ3b3T5vonktEBzOP5kssi/fv3yvpG5YGDUreDthka99M1Nkyg2HGmEfpB34lrkgA1ZmgKwOny0L1oRRWmMBRIu/n3/5VUlu0l5uevBZabvfwTLitIuMq5/dw6nYHttdttH91wVFzSNmBYThWGfS2svdAzs0kgdP7B2wFYfThKUvK3iASpwvOqtbVoeohzGrIVBwYfVtIeICDzHAVwBdAD9WTdkOULdG+Q65oGzgdiC0YrVPkOS8cG4hYaymqL8iruL8QrK4gPqCx5KWR5RI2YEUO6t6Uq+VWWniJUCQ5Tm8R5SFSOfyXpK54X2BiCBEtESDgMAN4YD0EQzI6kBayCRQpiGIsj1eB6SATFMovwOeS7AIBmrQiE0hJGgRZOhVktxqX6PItzPg5a2aLxvfu8O8J6xwabUElLAgRS0uHSvJDfcuy8QySgrzZPefP8oRbRJl3DMPl/vs8Z4iBCVjBVjhIxglG8Q5Q9gKUURbYs0DoRTUa9Dh0uek0TLlz42SlbPLcl2wtuyYRsMuK2JF7CMmMwMIcZjDjZsXqIhxW3fPWplrnsfz/cGF2yICgBUbAQv1N0GDVDQrKy4CkANrtWCRCFa4GNrQe24nEQAI0QhGBCY3czsCMV0DpPs5B6xAOV4rI8L/mLJAqqjV+xIBHsfKn4srDm+cZ7oPOK+MDa5sypltslpHGEhNH/Egq2B0BbyXBGBW5b5EgG2zPzpMyOxA+KyMAzV2BIeQAF4H78Wb734g7focIuddP0a+m7ekXDnKAscdCryXuCpS1qDN9akrj5NEk0nw2je1sLhIcr56xmQxLFMnCAElEpCUVleS0ptLvMGTkCS1uh4i38xbXs4rgM8BgT9QZgA9EGTQygxAEHlcw1adZFf/C2R+y2Nk3KxVsmovImC27Nhr4do3ZclGx7aviB3EXGbArtacG0Z0MdO6AF9qaoG+ASJQfzzBgIBHZoDUNUGCC21V0v/hgtUyF3QuQgRMt4Gea2s4Cysm0uRkBsiSsCpFiEXAxf0PHYEV3Pl4oqsgE4AIjwDMqp7zakfNGY0CxwVY2SH2832fee+sLA+lCjIIkEI6FggUHDPahNG33ycvfLtIvlu8QZIbEkB9js3rlWb1kuWInq3kzP5tpHPTeua1B5vFYIHP0ZhHnpbf6/SW6cs2l2Ww7EL2xCekYPFUU6IhqwQh4vVDXiE5dVvvIxlnPiLxCD53fL4QUo4+tLPRj6AVoI2QzBWfCd4/zhcZLbwiMAhDIwKJo1Q0fW2JFPc5UYQSj40ZnXDBJ5G5CeoOqIgbMsCK/uaP7RPMMHbzxD4tzMqM+m8wWIQAkRgEgItpIIcxJ0FQQpNAi9tbb70lbgLqatLiBDf0FPyQGUA0CHlByU+ZgwDLqhuCgJ0vHR6QANKsDHEiq8JF2U7hGRkIdAKBABEgy0O2ACEipQKOFxLARZ/3vev+B0vvi+6X6cuyKyxHmdG2ngQ5pFNjabjsS3n6gbtCHlv7YWdK8kFnGiGYXfXkf4Lc67Ltpw9MWYmMACSLjAAlJ4gZhCit5T6SedY/afJ4BaRpx4LS7hdrQmhFaDDwVEkffHbZ+a5pMLoYu2CFIubLBE615lx/x30hiQBKfkxuaAVk5YowLtJEABCouLCzosMExw1g1UTdnxIGq26Oi1IK9X1WV2QL6ARAdU+qFTEef/MamBSIENAyX6IMQ7bF7gsros9Qx08NnRIRZAbxIJ4DpPApL9z0wqey9eDR8uOyzebxFQbsPavD6Us2yJeefnL7KxPLBIj+YsL6A06Rkn6nS35RsX1EoLhIvEUFkvPlU4YI4IgJqWEVi4AScyYIGoSMINahXVtb9hvtaH7MvySzfTfzd2WIQN1eIwwRAG4gAoBBQgpFXJABp1pz1rQIbUBE2hgyYCmNaxIELFariJlqGqRMqbGT9ie9zv/02BN0aP2jXo/XAt0XgOOmxIIqnxQsPzyP50Mmwrmohmoh9QWEhAAYCJbTIBbFaBRIEZPRIFBCWOoddJK8ucQrCUkpxqs+LCQkSmGJyLglJTLsX4+UaSAAr5Ng0nDIOXseXP1g4t2z7bys32TXh7fI9vlfm/3g70A3By1xjFEmu4UiHqDr+H3W967WoEQKxV6PDLzm6YBdIf7AwbHh8Etdd96YKKhQhEJSrLQP0jVgN1iRzfl7l9Rp3lF2rlse8DG+U+tqGmQkGHzDcB/UzqHaJJ0ErYOUSwhwXBQRBlJqwSsAkR7pf9LSFmilgwSg0MeHgZo8ugdeC+JATIhwYAxFCPgMvDUrK6Bam2e1aVRbhnbNLKvZA9L9wcCxsz8yGij6CQRkOdBm3PbKBNnRfc9Xp4orP+u1LJC2si07yXRR0HbWpnsfeWV9S0MW7AK7Wv/ubZK/cn5ZQKOtk7INRBZDLM4595ENgbDxPngL86RRSrHkFsbEZaJa14F563bLjff8T+6/JbB3gIVGR1xp2jXdkhEAHAmjhRWKmNcM4COAUtfuPl1AHfi0/VvIsIa5xlyGFS4taKwU6Q7AQAdPAbeAdDoGPNTpSatHEgQSavCY5qC6J7gjruJvCAHCP8SBBCFgaQIItpRbcHajjGClzKnXQ2ogA7Qikp73H/saTgupdf+gTo3lukHN5cAeHUMOeaLzgGwFjoYcPyTnwEOPlHV9LrLVuz/BWywbXrlKEnbnSr8bXpOsglq2fpYpD+RlLZAdnz9gzi8lGTwWyMogjuV9IasEIJCIKnF9xAq621l3yOLiTGd8DvbU06PhAsRn58wDW8vX911kPCj4bFilFQvJGa2lxcWlplVuQtuM2jL1hvLeGwpFTJIBjINo2XEK0fZlQkRISj6Qja5TgCAhBGSVb7XikQUgFc/qnt5+q5TCxRQxIK2BDFqCEBCc6Pm32vb8e+4xCcLdkYmGtO9ZglF0IuEK7BI9IkWFBZIz6XnZsaB0EFEg8DqYWIiRECtnjIvumpotK3an2KoOJ9Ds36quNFv7o4wv6iVO4e8XL5Oi7NJpjhABPh8QMbIutFoCfDM43wQ5hJzvfTnV0QCHhkESk+1ZSXMpc3BFznXg5eNaGxLAVE2EpbTK0g5rymLXPiUrk9s4ZhBVFajPgKKyiPr83478IpMWdhJZ2btM3TlaWnNobcIamVVfJLQMBBUujKw64ZakmxHGUfdHhc99XOyx5YUEIBqk84HaO50XrEYZthSs1Y6gBGmgjk1XAYH518KmVW4hLYY3JCZLxlFXS0KddNn580fmeMlk+IIMBYI6CAgZl5bd9pcVX0+zvS0cIvNz1nY5rvcRkvjbOkcyXBgM1etzlBzRZLvplaeDAlJF94BFBCBvlHMgAmRqIAVkEQ5sXU/m/L3D1uMiH3Bwx8bStfZOefm3PJs26nH8OtC8dTszybJ1h05SlNpQ3ux2oKnH/734V3k7p614drtrbcV7dtZBOsZYEQeZAQRiWAs7jWhqzSEoc2GnZQxHNCfLAhgvsQ+rvRLRHyn1c845x3jrUwtnxgAkgNIFCnbq1PT2+2oayBxcddVVIdP2dCPQ05+V3Moo7e3C1m+elS1zJpYRAH58j4OVYNu2bWXgVY85Wo6qnZwo24OIHe1A0ZZ1suiBk42jIcJIvvp0a1iXAMoD6CLo8gC8l4g8vbUbGTOu/MJiWwIu+0tLTpTJ1w4xbp92eYNEAsf0ai4L1mwN4CLoPvCZGtghQ8Zd2L+mD0URBYiOpa4LWmaiqTWHDgcscZmSRz3Yv85eFbAaJzXKqhKwoiQwUxYAVkaA4M9jaR9EmU7bGq2BGA2RJUAUGEjY6GveFAy0G776wXg54onpkm+W99UHx93g0Iulwe710qdLqf88JRZeB7/5H20INfQthzhDBADbdZIIgKT0ZjJx0rcm08F0RYSmGDoBq6XQIgLoPBjoZJVkjm6+Wz5abY95Flmiu0f1KLP9xtyrcd1UU/IpLC4Jy1iJgGfcFL12eTOGxoTf1tlq/OQkkhI8ct/xPWv6MBRRgqgnA5FqmYm21hxa9xDeoZgnzV4dENStYStYAiOqI6hbg5EQUxHI8fhn1U/amcFLDAZiHgOT/xDhhWrNsghCRSYtd4z/Q4psvBizr8TkFBl43bNBV1CkzvscOEA27sI0yD0q8fDhkRvGPGhaNRFrWkQAMDAL4gYomWAJTS3c0oO8ctuF0uPk62RNRt8q7916b/slr5VTDxhZ7j4GAVE2OP+5SbJsR7IIg4JC1d73GDj1aFZHFqwtX95xEtFCBIAv4VIoYp4M0DLD5dnJ72g0tuaQ2mZ1Ti3eIgPoHlZm7zRZDsgNr6kyOghrKEuwWey9e/c2rYGk1ykPkBkgg0BmghbDyvRnWx0EkIpgj3eyhdSa7tYps7Tt0BcEsCtvulPume3syj0S2L5rtxEMWv4OzGWw2lItZTzZHisDhBCUTgMyBeMfuFImLd9RJdEmHQ0E8OxJz8mr0/+Z8eELAteAvDny+6cTJb/1gVK/60EidRuX+25DKOp78kTW/y5/TnhJtvc5Survf3T4Xg8xjhtHdJVTD1CtgCKOyADBjB5yJ7sJ2mTUjhrxoL+Q8NSL/yXXvfWTzFmbV+n+e1/Mnz/f9Nb7w5rid//99xunQBz5cA7EVpiJf5ACq4WwMrAyA5b5TiDgI1Ch5W8VwXbfnJkVVHXd54ADRWbPkGhH3q4dRrRplWTQYZD1oWxglZgQfGJIhGU0ug+6KNAYQBhOa9TIrODDbeektXHr5OelRf1U490QDMysaFk3QWZ/87yc2skjD495Us658nqZN/83SfCWSO+OLeSj9942j92w4VI54pmZkluoRMA615QGyAgoEVCEi+jKfQcBwYwvghNgu0O7ZEq0gf77j3Kam7awz37PDTgtjf+5HVHc8MenydkvzzLP8wW+AIFALR1BIKtIJrXhGcA8Aayb6WQIhwj4ZwaCAUMhJ2v2oaa7pUZZmSggvF5p07CWEXiSfaEMgJ7EIgKUcuj4oAxEeyrTG/GNQFQI4fNdwVNS+eaawaZtjZY7/28f/3P7yfs1NS2NjEnOz15rdCahABmwCCEi05KC3fLVOy/JQZ2byfI5U+XmG64te2yd9AzZEueGSMC69iEWRJSpREARl90EVvqYYOYUJl87OGD62K2ocv/9npXFXaN6mBouEwZ9nQIDAWMaAgaCRd+Rw2Ef87vvlukQSEkHaiHtOeZrx8tBwaa7UWLZ1+H9O426stt0E0AAGETkO3SHLA+ug6zaGctLIKaFjjICLaoVTd70LUEV5u+W4w47WDav/9uQPFpMrX2xD8SZgUAHB5kJxIzoFHgecyHQMkA4aXP01TlEqpPIrTCZvYzaZrFC+2A0XaMU7kNM0GrS27jKzfgr29aVo9WaE01fsuq0aXHu+GHy4+Yd+fLA2ceGfDzBG/dFO0Y0W5mBYGWCVdk7HQ/EbJ+AFqiFNBLlqHppSbKrwL7BRL7weEtk3dzJ5jwfdNBBJpPja/BEi6iVvifoohmgdLN27VpD9Cj9EKiDgfNjnbfs7BJZt3plufst0oHm5McffzTOlBbIQDANkg4V2lU3bNhgSAjZJXQnZCnwecCfIlo7fOzA+CsPNtekcDU/CkVlEAO5z1LQQsOqNp5bc8gI2NWvzXbaHXZGhX4GdhABX81AsDKBG1pInS5HHbZPpmNlEK8nQbbNnWDcHtEA+BIBCMLxxx9f9j+2y7QdPvXUU8Z7gNZQxnNbbYcVISMjQxo0COzJgQYF/wKsvc1xeb1y8803m/3MmFGqySAjgHMlXQ3cxmeCjo4jjzwyqjt8qvPZYLHTq1W6IVx92jQ0v5UIKOxEzHybqGOS3o7X1hwnRjhvajNUTjrvsvJteImJ5oe/CRrUn+1ARZkBN7SQIrJ0UrNw1dBO5qJvO+EoKZbdK+bK8YcOKOelT4YA4KcwZMgQky1gVY4pEXMtaE9FbIguZOvWraZk5JumDwUmVgYD+4MwAD5H/kHeAqUMgGlVoHKV1UkU64i2RYkiOhFT1JI6N+ltO1bH0daa49QI5+K+J8uZhduNcyCaAC7elg8AtV/fdK+TmQE3tJA6VY4iWCfnrJDWDYaZiz5uf3Zt3xjyFBdJ8cw35fznHi9rKST4T5s2zThVMsIYq2dEgtg+8/4yBtt6n3v16mXS9OgImDPBWGkmHYbyg0AoiMDUH5AATJx8n4snRagJkuC1114zWQUMk+hYiVTpxg2IpkWJInoRU2TA382sqgK6aGvNcbL/fu7a3TL50ecc101U1FrolhZSu4M1SElKlDWfPiL/rrNCHn/8cZPhQrdhBwi6Od88LztWLSkjAmDnzp2GKGADzUodM6kBAwYY0Sgtqbg9+gfxr776ygyT+te//mUIRKApkqH8KBo2bGiIgH9rIcdVGQdK9kmLI90qvqUbpyyi3YBoW5QoohcxUybwzxDQYoP4D1SUdo321hyr/94JWP33TqNWvXSp1byzLMkuMCpx1OlubCF1ohx1z3E95cE7bpInnnjC9Pfz+T2la2mQrWqzj/W83Kmvy44F//hEkN0hK0ALYbdu3crGXDOSe/HixSYLgFHVLbfcshcxox0R3wFspen+oBSA6C8QGHTku/qnQwQiACHwB/oC39bFYGUkNAyUMCJVuqkp8FmklfXBE3rKlUM71fThKOIEMdFaWNGqmWBJDzlTx7wx2JoTrSOcy96bPzdWyhDJTS2kVtdGRfbJlVn5ccFnO8w/oCaP/TMr9HPvekEaDr/UjMT1JFY+iUdZgCmFuWQEfIiABWu0NKOkUeoj2Ovfv7/xF2C/ZAsYzYv5EGr+QC2jPA7RIc/BcRKBob/D5W1XXyKfffR+WVeCf7bBF4xOhoAEAgQCa2tITCDgj2F76aYGYBk0UYoiA6WlAUUkEfNkwBdVteN1M2q6/76qYsdwHeysC+TVb86UuWu2hxUcnZruRvfGbR/PN+WocGbYE6gTxCv3n9THZAEsMC+gT58+ps8eA6Crr75akho0lYxjrpe0Vt0rJB4kTTiViAVzvnpGirZuCPrYgQMHmhY/gKkQWQnIAf38AHU/VtIEeer0tBv6A/fCY8++VJZKM2l14BGytSgpLIdL3+/j1txsOXHEYMnZuM5kJ5iNANAwfPnll2VzEoJ9nsxUxShpNfTXvsTKokQR3YgrMhCLiLYRztU1RDokfZt8sy5ZPEmlYkY7QErWGqcbLhatXC+H3/6aJLXuWWlis0+6yLcPXyF33XOPHDnymHLEdObMmTJo0CATlH9duloaHXGl1Grf1xCI0ISD/Xqkbe1imfHopVK0ZX3AR1HjJxNAyp4hUtTgqe8//PDDcsMNN5R7LALDY4891kwunDhxojGYCkTo8DCgdbEyhO7iQe3lu8WbQmaDejZOkOmvPSC1C7ea46PFsDKfK7t0Fk6CLNvE0YNiblGiiH4oGYhyzMvKleOfc94z/5PLB5r+5urArrn1aZv/lLzGXcUuUJutjk7kwQcflDGPPS+XPfKWzF2fv1c5Chvgto3rSJ/W6SZmz1u9xZgo+U5A9F1FF/7xnTz59hdVKhGUkiaRbVNekfU/fmQCKWUBPALIOGRlZZkAjzYhJyfHrMLpFGH+hNXe6W8PTOsf7oAQAh5fVUJX9lo95pTYni636/NV0fFVFbwu7JuDzb9QKGoSSgaiHNGSGbB75XZ496by9e/B0+Dh1uyrA5T5DPUZMWKEGdfsm/6eOWO6/Ouqq2TYv5+X33NKKp09ANXVI5y6Ty25eVQf4+ZHzz4qfoyiGFdMWygeAt99951JybP6DwYeP3LkSFm+fLlc9tSn8t4fkWnl87fHjkTm6cr/6yiPTl4qTiHarM0V8YOY7CaIJ0TCeKW6I5ydMET6fskmuenwribFH26Hgd1qbbwWbr/9dqOyX7RoUZk1L5mUhh17S5tLnpE/c0vr2RUFKN/7q1sGeW/xbrn+mQ9NWYCJg8x9QI1PKyF9+wj/GC4ViggAMgpTp06VA0+7JmJEwDoX6AAgkaz6I9FJdPVhXRwxfrJcBJUIKNwKzQzEANzeTeCE2tsS/ZFGrqoY0U61Nqp60u19+/Y1QdbOtHV14C0qkLUvXi6JeVvM/9nZ2bJ+/XqjSSAzQLdAZeAGkV645ZyqdhI58Vqro0tRKCIBJQMxgDHjFzlmvFLdOmek2gHd0EJKieC8884zqvzl0tQVgjbaDAvWLJT179xushd33HGHESgyGwATH38DoGBwQ/tedQJquJ1Edpe1qqtLUSichpKBGICb+u/dQFRqqoUUB72ePXtK0449ZO1+F7iq1W3rOzfIpmW/yT333CP33nuvTJ8+vWw2QU1/vpxuAa0q7Mrs2KFLUSichmoGYgCWZ74b65y0kDk53IdMgD98a/aRnO6Guc5///tf+b1OLyksdg8RoC3x0IvvNBkLjo/sQGWJgNMOl+G+35SDlm3cHjFr8wdO6OkKXYpC4TSUDMQI3DjCGUMkesmdBCWBQNbFNYV9Bw4zvgBuMsOjPXFjchPjKAgJuPXWW11D6Nxqjx2v1uaK+IWSgRiBG0c400vvdAhh+5QE3IK3f17tyi9VVs5u2Ziz1XQ8MGPATYTOjmyQk+A7QGnim2sGm7IUglp/SsD/3M79lNV4vIoFFdEEtb2KIbhthDM1+0ggUvup7CraPUcj5doUvXUbB50KWZOErqrZoEi79lGOQ58yRnrEpLW5Ir7hxkWMIkbqnFwkI4FI7SfaVtH+KJEEI3D84YcfopJouSkbVFO6FIXCKbjjKqqIyTpnNBgi2Qk3rqLLoaTITCAMJzvgFqIVDSRFoYhmKJ2NUVh1zprsv2e1hN++k4ZIHL9bVmVuDlB0EI8+7zS57d83BJxAWBGhcxvJcStJUSiiFe64iipits7J4B0nfQYgMm6BmwNU6/Q0efjm/7qS0EVzNkihiBW49+qliIk6J3PsnfQZIKPhFkSiLFJV0jSse/NqETo3+Ay4MRukUMQKlAwo4tYQyW5Yq2i3obqkyUlCF+3ZIIUiVqBkQBGXhkhOwW2raNC2Ue1qkSanCF0sZIMUiliBkgFFXBoiOQU3raItUO9/75cs1xG6WMgGKRSxAiUDioi1O94woost27LDEMkpuGkV7Ys7xi8yo3ndROhiJRukUMQClAwo4tIQyUkQsNxFBUSKSrxy6ye/uYbQxVI2SKGIBSgZUMSlIVK8wa6Jf9UhdLGaDVIoYgEeL24kCkUNoCYNkZzE2S/Pkhl/ZbtOO0DwZpAOvhPVBSUHMg0QDLYb6rXCGapyKtgupQEyAkoEFApnoWRA4QrEyuAXCM7wx6eJW8Fkvak3DI04oTusW6aMnfZXpciDdT/aC0ouWhpQKJyHkgGFwkaMGb/IMcdFO0CAXjjmcEeIVmUIXaxmgxSKaIeSAYXCRgx5eIqrrHsDYcLoQ4wDZU0jVrJBCkUsQL95CkWcjDB220Alyx5boVDUPLSbQKGIlxHGUTBQSaFQ1Az0qqBQxNiKOxR04p9CoQgEJQMKRRytuHXin0KhCAT3X70UiiiBW0cYW9CJfwqFIhiUDCgUMT7C2IJO/FMoFMGgZEChiPERxkAn/ikUilBQMqBQxPgIY6AT/xQKRSgoGVAo4mCEsU78UygUoaBkQKGwGazAWYm7BTrxT6FQVAQlAwqFzWAFfpcNkwF9ES63IDPBmOEHT+gpVw7tZOuxKBSK2IOSAYXCAZx2QBu5YUQXW7Z18SHt5eCOjc3fFZUfrPsHdsiQydcO0YyAQqGoFHRQkULhIN79JUvuHL9Iikq8YQkLCeqUGqj1WwFdJ/4pFAqnoGRAoXAYq3N2ya2f/CY/LNtsgnwoUmDdjwgR7UEw0Z9O/FMoFHZCyYBCESHoyl6hULgVSgYUihqAruwVCoWboGRAoVAoFIo4h3YTKBQKhUIR51AyoFAoFApFnEPJgEKhUCgUcQ4lAwqFQqFQxDmUDCgUCoVCEedQMqBQKBQKRZxDyYBCoVAoFHEOJQMKhUKhUMQ5lAwoFAqFQhHnUDKgUCgUCkWcQ8mAQqFQKBRxDiUDCoVCoVDEOZQMKBQKhUIR51AyoFAoFApFnEPJgEKhUCgUcQ4lAwqFQqFQxDmUDCgUCoVCEedQMqBQKBQKRZxDyYBCoVAoFHEOJQMKhUKhUMQ5lAwoFAqFQhHnUDKgUCgUCkWcQ8mAQqFQKBRxDiUDCoVCoVDEOZQMKBQKhUIR51AyoFAoFApFnEPJgEKhUCgUEt/4f+EfuFWcntkAAAAAAElFTkSuQmCC", "text/plain": [ "
" ] @@ -266,51 +322,2307 @@ } ], "source": [ - "stroke_ctrl = control.ControlSystem([\n", - " rule1, \n", - " rule2, \n", - " rule3,\n", - " rule4,\n", - " rule5,\n", - " rule6,\n", - " rule7,\n", - " rule8,\n", - " rule9,\n", - " rule10,\n", - " rule11,\n", - " rule12,\n", - " rule13,\n", - " rule14,\n", - " rule15,\n", - " rule16,\n", - " rule17,\n", - " rule18,\n", - " rule19,\n", - " rule20,\n", - "])\n", + "stroke_ctrl = control.ControlSystem(\n", + " rules\n", + ")\n", "\n", - "stroke = control.ControlSystemSimulation(stroke_ctrl)\n", + "stroke_simulation = control.ControlSystemSimulation(stroke_ctrl)\n", "stroke_ctrl.view()" ] }, { "cell_type": "code", - "execution_count": null, + "execution_count": 145, "metadata": {}, - "outputs": [], - "source": [] + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "=============\n", + " Antecedents \n", + "=============\n", + "Antecedent: age = 72\n", + " - young : 0.0\n", + " - middle : 0.0\n", + " - old : 0.0\n", + " - aged : 0.18\n", + "Antecedent: hypertension = 1\n", + " - low : 0.0\n", + " - high : 1.0\n", + "Antecedent: glucose = 220\n", + " - low : 0.0\n", + " - normal : 0.0\n", + " - high : 0.6799999999999999\n", + "Antecedent: bmi = 30\n", + " - low : 0.0\n", + " - normal : 0.0\n", + " - high : 0.08000000000000002\n", + "Antecedent: heart_disease = 0\n", + " - low : 1.0\n", + " - high : 0.0\n", + "\n", + "=======\n", + " Rules \n", + "=======\n", + "RULE #0:\n", + " IF (((age[young] AND hypertension[low]) AND glucose[low]) AND bmi[low]) AND heart_disease[low] THEN stroke_risk[low]\n", + "\tAND aggregation function : fmin\n", + "\tOR aggregation function : fmax\n", + "\n", + " Aggregation (IF-clause):\n", + " - age[young] : 0.0\n", + " - hypertension[low] : 0.0\n", + " - glucose[low] : 0.0\n", + " - bmi[low] : 0.0\n", + " - heart_disease[low] : 1.0\n", + " (((age[young] AND hypertension[low]) AND glucose[low]) AND bmi[low]) AND heart_disease[low] = 0.0\n", + " Activation (THEN-clause):\n", + " stroke_risk[low] : 0.0\n", + "\n", + "RULE #1:\n", + " IF (((age[young] AND hypertension[low]) AND glucose[low]) AND bmi[low]) AND heart_disease[high] THEN stroke_risk[medium]\n", + "\tAND aggregation function : fmin\n", + "\tOR aggregation function : fmax\n", + "\n", + " Aggregation (IF-clause):\n", + " - age[young] : 0.0\n", + " - hypertension[low] : 0.0\n", + " - glucose[low] : 0.0\n", + " - bmi[low] : 0.0\n", + " - heart_disease[high] : 0.0\n", + " (((age[young] AND hypertension[low]) AND glucose[low]) AND bmi[low]) AND heart_disease[high] = 0.0\n", + " Activation (THEN-clause):\n", + " stroke_risk[medium] : 0.0\n", + "\n", + "RULE #2:\n", + " IF (((age[young] AND hypertension[low]) AND glucose[low]) AND bmi[normal]) AND heart_disease[low] THEN stroke_risk[medium]\n", + "\tAND aggregation function : fmin\n", + "\tOR aggregation function : fmax\n", + "\n", + " Aggregation (IF-clause):\n", + " - age[young] : 0.0\n", + " - hypertension[low] : 0.0\n", + " - glucose[low] : 0.0\n", + " - bmi[normal] : 0.0\n", + " - heart_disease[low] : 1.0\n", + " (((age[young] AND hypertension[low]) AND glucose[low]) AND bmi[normal]) AND heart_disease[low] = 0.0\n", + " Activation (THEN-clause):\n", + " stroke_risk[medium] : 0.0\n", + "\n", + "RULE #3:\n", + " IF (((age[young] AND hypertension[low]) AND glucose[low]) AND bmi[normal]) AND heart_disease[high] THEN stroke_risk[medium]\n", + "\tAND aggregation function : fmin\n", + "\tOR aggregation function : fmax\n", + "\n", + " Aggregation (IF-clause):\n", + " - age[young] : 0.0\n", + " - hypertension[low] : 0.0\n", + " - glucose[low] : 0.0\n", + " - bmi[normal] : 0.0\n", + " - heart_disease[high] : 0.0\n", + " (((age[young] AND hypertension[low]) AND glucose[low]) AND bmi[normal]) AND heart_disease[high] = 0.0\n", + " Activation (THEN-clause):\n", + " stroke_risk[medium] : 0.0\n", + "\n", + "RULE #4:\n", + " IF (((age[young] AND hypertension[low]) AND glucose[low]) AND bmi[high]) AND heart_disease[low] THEN stroke_risk[medium]\n", + "\tAND aggregation function : fmin\n", + "\tOR aggregation function : fmax\n", + "\n", + " Aggregation (IF-clause):\n", + " - age[young] : 0.0\n", + " - hypertension[low] : 0.0\n", + " - glucose[low] : 0.0\n", + " - bmi[high] : 0.08000000000000002\n", + " - heart_disease[low] : 1.0\n", + " (((age[young] AND hypertension[low]) AND glucose[low]) AND bmi[high]) AND heart_disease[low] = 0.0\n", + " Activation (THEN-clause):\n", + " stroke_risk[medium] : 0.0\n", + "\n", + "RULE #5:\n", + " IF (((age[young] AND hypertension[low]) AND glucose[low]) AND bmi[high]) AND heart_disease[high] THEN stroke_risk[medium]\n", + "\tAND aggregation function : fmin\n", + "\tOR aggregation function : fmax\n", + "\n", + " Aggregation (IF-clause):\n", + " - age[young] : 0.0\n", + " - hypertension[low] : 0.0\n", + " - glucose[low] : 0.0\n", + " - bmi[high] : 0.08000000000000002\n", + " - heart_disease[high] : 0.0\n", + " (((age[young] AND hypertension[low]) AND glucose[low]) AND bmi[high]) AND heart_disease[high] = 0.0\n", + " Activation (THEN-clause):\n", + " stroke_risk[medium] : 0.0\n", + "\n", + "RULE #6:\n", + " IF (((age[young] AND hypertension[low]) AND glucose[normal]) AND bmi[low]) AND heart_disease[low] THEN stroke_risk[medium]\n", + "\tAND aggregation function : fmin\n", + "\tOR aggregation function : fmax\n", + "\n", + " Aggregation (IF-clause):\n", + " - age[young] : 0.0\n", + " - hypertension[low] : 0.0\n", + " - glucose[normal] : 0.0\n", + " - bmi[low] : 0.0\n", + " - heart_disease[low] : 1.0\n", + " (((age[young] AND hypertension[low]) AND glucose[normal]) AND bmi[low]) AND heart_disease[low] = 0.0\n", + " Activation (THEN-clause):\n", + " stroke_risk[medium] : 0.0\n", + "\n", + "RULE #7:\n", + " IF (((age[young] AND hypertension[low]) AND glucose[normal]) AND bmi[low]) AND heart_disease[high] THEN stroke_risk[medium]\n", + "\tAND aggregation function : fmin\n", + "\tOR aggregation function : fmax\n", + "\n", + " Aggregation (IF-clause):\n", + " - age[young] : 0.0\n", + " - hypertension[low] : 0.0\n", + " - glucose[normal] : 0.0\n", + " - bmi[low] : 0.0\n", + " - heart_disease[high] : 0.0\n", + " (((age[young] AND hypertension[low]) AND glucose[normal]) AND bmi[low]) AND heart_disease[high] = 0.0\n", + " Activation (THEN-clause):\n", + " stroke_risk[medium] : 0.0\n", + "\n", + "RULE #8:\n", + " IF (((age[young] AND hypertension[low]) AND glucose[normal]) AND bmi[normal]) AND heart_disease[low] THEN stroke_risk[low]\n", + "\tAND aggregation function : fmin\n", + "\tOR aggregation function : fmax\n", + "\n", + " Aggregation (IF-clause):\n", + " - age[young] : 0.0\n", + " - hypertension[low] : 0.0\n", + " - glucose[normal] : 0.0\n", + " - bmi[normal] : 0.0\n", + " - heart_disease[low] : 1.0\n", + " (((age[young] AND hypertension[low]) AND glucose[normal]) AND bmi[normal]) AND heart_disease[low] = 0.0\n", + " Activation (THEN-clause):\n", + " stroke_risk[low] : 0.0\n", + "\n", + "RULE #9:\n", + " IF (((age[young] AND hypertension[low]) AND glucose[normal]) AND bmi[normal]) AND heart_disease[high] THEN stroke_risk[medium]\n", + "\tAND aggregation function : fmin\n", + "\tOR aggregation function : fmax\n", + "\n", + " Aggregation (IF-clause):\n", + " - age[young] : 0.0\n", + " - hypertension[low] : 0.0\n", + " - glucose[normal] : 0.0\n", + " - bmi[normal] : 0.0\n", + " - heart_disease[high] : 0.0\n", + " (((age[young] AND hypertension[low]) AND glucose[normal]) AND bmi[normal]) AND heart_disease[high] = 0.0\n", + " Activation (THEN-clause):\n", + " stroke_risk[medium] : 0.0\n", + "\n", + "RULE #10:\n", + " IF (((age[young] AND hypertension[low]) AND glucose[normal]) AND bmi[high]) AND heart_disease[low] THEN stroke_risk[medium]\n", + "\tAND aggregation function : fmin\n", + "\tOR aggregation function : fmax\n", + "\n", + " Aggregation (IF-clause):\n", + " - age[young] : 0.0\n", + " - hypertension[low] : 0.0\n", + " - glucose[normal] : 0.0\n", + " - bmi[high] : 0.08000000000000002\n", + " - heart_disease[low] : 1.0\n", + " (((age[young] AND hypertension[low]) AND glucose[normal]) AND bmi[high]) AND heart_disease[low] = 0.0\n", + " Activation (THEN-clause):\n", + " stroke_risk[medium] : 0.0\n", + "\n", + "RULE #11:\n", + " IF (((age[young] AND hypertension[low]) AND glucose[normal]) AND bmi[high]) AND heart_disease[high] THEN stroke_risk[medium]\n", + "\tAND aggregation function : fmin\n", + "\tOR aggregation function : fmax\n", + "\n", + " Aggregation (IF-clause):\n", + " - age[young] : 0.0\n", + " - hypertension[low] : 0.0\n", + " - glucose[normal] : 0.0\n", + " - bmi[high] : 0.08000000000000002\n", + " - heart_disease[high] : 0.0\n", + " (((age[young] AND hypertension[low]) AND glucose[normal]) AND bmi[high]) AND heart_disease[high] = 0.0\n", + " Activation (THEN-clause):\n", + " stroke_risk[medium] : 0.0\n", + "\n", + "RULE #12:\n", + " IF (((age[young] AND hypertension[low]) AND glucose[high]) AND bmi[low]) AND heart_disease[low] THEN stroke_risk[medium]\n", + "\tAND aggregation function : fmin\n", + "\tOR aggregation function : fmax\n", + "\n", + " Aggregation (IF-clause):\n", + " - age[young] : 0.0\n", + " - hypertension[low] : 0.0\n", + " - glucose[high] : 0.6799999999999999\n", + " - bmi[low] : 0.0\n", + " - heart_disease[low] : 1.0\n", + " (((age[young] AND hypertension[low]) AND glucose[high]) AND bmi[low]) AND heart_disease[low] = 0.0\n", + " Activation (THEN-clause):\n", + " stroke_risk[medium] : 0.0\n", + "\n", + "RULE #13:\n", + " IF (((age[young] AND hypertension[low]) AND glucose[high]) AND bmi[low]) AND heart_disease[high] THEN stroke_risk[medium]\n", + "\tAND aggregation function : fmin\n", + "\tOR aggregation function : fmax\n", + "\n", + " Aggregation (IF-clause):\n", + " - age[young] : 0.0\n", + " - hypertension[low] : 0.0\n", + " - glucose[high] : 0.6799999999999999\n", + " - bmi[low] : 0.0\n", + " - heart_disease[high] : 0.0\n", + " (((age[young] AND hypertension[low]) AND glucose[high]) AND bmi[low]) AND heart_disease[high] = 0.0\n", + " Activation (THEN-clause):\n", + " stroke_risk[medium] : 0.0\n", + "\n", + "RULE #14:\n", + " IF (((age[young] AND hypertension[low]) AND glucose[high]) AND bmi[normal]) AND heart_disease[low] THEN stroke_risk[medium]\n", + "\tAND aggregation function : fmin\n", + "\tOR aggregation function : fmax\n", + "\n", + " Aggregation (IF-clause):\n", + " - age[young] : 0.0\n", + " - hypertension[low] : 0.0\n", + " - glucose[high] : 0.6799999999999999\n", + " - bmi[normal] : 0.0\n", + " - heart_disease[low] : 1.0\n", + " (((age[young] AND hypertension[low]) AND glucose[high]) AND bmi[normal]) AND heart_disease[low] = 0.0\n", + " Activation (THEN-clause):\n", + " stroke_risk[medium] : 0.0\n", + "\n", + "RULE #15:\n", + " IF (((age[young] AND hypertension[low]) AND glucose[high]) AND bmi[normal]) AND heart_disease[high] THEN stroke_risk[medium]\n", + "\tAND aggregation function : fmin\n", + "\tOR aggregation function : fmax\n", + "\n", + " Aggregation (IF-clause):\n", + " - age[young] : 0.0\n", + " - hypertension[low] : 0.0\n", + " - glucose[high] : 0.6799999999999999\n", + " - bmi[normal] : 0.0\n", + " - heart_disease[high] : 0.0\n", + " (((age[young] AND hypertension[low]) AND glucose[high]) AND bmi[normal]) AND heart_disease[high] = 0.0\n", + " Activation (THEN-clause):\n", + " stroke_risk[medium] : 0.0\n", + "\n", + "RULE #16:\n", + " IF (((age[young] AND hypertension[low]) AND glucose[high]) AND bmi[high]) AND heart_disease[low] THEN stroke_risk[medium]\n", + "\tAND aggregation function : fmin\n", + "\tOR aggregation function : fmax\n", + "\n", + " Aggregation (IF-clause):\n", + " - age[young] : 0.0\n", + " - hypertension[low] : 0.0\n", + " - glucose[high] : 0.6799999999999999\n", + " - bmi[high] : 0.08000000000000002\n", + " - heart_disease[low] : 1.0\n", + " (((age[young] AND hypertension[low]) AND glucose[high]) AND bmi[high]) AND heart_disease[low] = 0.0\n", + " Activation (THEN-clause):\n", + " stroke_risk[medium] : 0.0\n", + "\n", + "RULE #17:\n", + " IF (((age[young] AND hypertension[low]) AND glucose[high]) AND bmi[high]) AND heart_disease[high] THEN stroke_risk[medium]\n", + "\tAND aggregation function : fmin\n", + "\tOR aggregation function : fmax\n", + "\n", + " Aggregation (IF-clause):\n", + " - age[young] : 0.0\n", + " - hypertension[low] : 0.0\n", + " - glucose[high] : 0.6799999999999999\n", + " - bmi[high] : 0.08000000000000002\n", + " - heart_disease[high] : 0.0\n", + " (((age[young] AND hypertension[low]) AND glucose[high]) AND bmi[high]) AND heart_disease[high] = 0.0\n", + " Activation (THEN-clause):\n", + " stroke_risk[medium] : 0.0\n", + "\n", + "RULE #18:\n", + " IF (((age[young] AND hypertension[high]) AND glucose[low]) AND bmi[low]) AND heart_disease[low] THEN stroke_risk[medium]\n", + "\tAND aggregation function : fmin\n", + "\tOR aggregation function : fmax\n", + "\n", + " Aggregation (IF-clause):\n", + " - age[young] : 0.0\n", + " - hypertension[high] : 1.0\n", + " - glucose[low] : 0.0\n", + " - bmi[low] : 0.0\n", + " - heart_disease[low] : 1.0\n", + " (((age[young] AND hypertension[high]) AND glucose[low]) AND bmi[low]) AND heart_disease[low] = 0.0\n", + " Activation (THEN-clause):\n", + " stroke_risk[medium] : 0.0\n", + "\n", + "RULE #19:\n", + " IF (((age[young] AND hypertension[high]) AND glucose[low]) AND bmi[low]) AND heart_disease[high] THEN stroke_risk[medium]\n", + "\tAND aggregation function : fmin\n", + "\tOR aggregation function : fmax\n", + "\n", + " Aggregation (IF-clause):\n", + " - age[young] : 0.0\n", + " - hypertension[high] : 1.0\n", + " - glucose[low] : 0.0\n", + " - bmi[low] : 0.0\n", + " - heart_disease[high] : 0.0\n", + " (((age[young] AND hypertension[high]) AND glucose[low]) AND bmi[low]) AND heart_disease[high] = 0.0\n", + " Activation (THEN-clause):\n", + " stroke_risk[medium] : 0.0\n", + "\n", + "RULE #20:\n", + " IF (((age[young] AND hypertension[high]) AND glucose[low]) AND bmi[normal]) AND heart_disease[low] THEN stroke_risk[medium]\n", + "\tAND aggregation function : fmin\n", + "\tOR aggregation function : fmax\n", + "\n", + " Aggregation (IF-clause):\n", + " - age[young] : 0.0\n", + " - hypertension[high] : 1.0\n", + " - glucose[low] : 0.0\n", + " - bmi[normal] : 0.0\n", + " - heart_disease[low] : 1.0\n", + " (((age[young] AND hypertension[high]) AND glucose[low]) AND bmi[normal]) AND heart_disease[low] = 0.0\n", + " Activation (THEN-clause):\n", + " stroke_risk[medium] : 0.0\n", + "\n", + "RULE #21:\n", + " IF (((age[young] AND hypertension[high]) AND glucose[low]) AND bmi[normal]) AND heart_disease[high] THEN stroke_risk[medium]\n", + "\tAND aggregation function : fmin\n", + "\tOR aggregation function : fmax\n", + "\n", + " Aggregation (IF-clause):\n", + " - age[young] : 0.0\n", + " - hypertension[high] : 1.0\n", + " - glucose[low] : 0.0\n", + " - bmi[normal] : 0.0\n", + " - heart_disease[high] : 0.0\n", + " (((age[young] AND hypertension[high]) AND glucose[low]) AND bmi[normal]) AND heart_disease[high] = 0.0\n", + " Activation (THEN-clause):\n", + " stroke_risk[medium] : 0.0\n", + "\n", + "RULE #22:\n", + " IF (((age[young] AND hypertension[high]) AND glucose[low]) AND bmi[high]) AND heart_disease[low] THEN stroke_risk[medium]\n", + "\tAND aggregation function : fmin\n", + "\tOR aggregation function : fmax\n", + "\n", + " Aggregation (IF-clause):\n", + " - age[young] : 0.0\n", + " - hypertension[high] : 1.0\n", + " - glucose[low] : 0.0\n", + " - bmi[high] : 0.08000000000000002\n", + " - heart_disease[low] : 1.0\n", + " (((age[young] AND hypertension[high]) AND glucose[low]) AND bmi[high]) AND heart_disease[low] = 0.0\n", + " Activation (THEN-clause):\n", + " stroke_risk[medium] : 0.0\n", + "\n", + "RULE #23:\n", + " IF (((age[young] AND hypertension[high]) AND glucose[low]) AND bmi[high]) AND heart_disease[high] THEN stroke_risk[medium]\n", + "\tAND aggregation function : fmin\n", + "\tOR aggregation function : fmax\n", + "\n", + " Aggregation (IF-clause):\n", + " - age[young] : 0.0\n", + " - hypertension[high] : 1.0\n", + " - glucose[low] : 0.0\n", + " - bmi[high] : 0.08000000000000002\n", + " - heart_disease[high] : 0.0\n", + " (((age[young] AND hypertension[high]) AND glucose[low]) AND bmi[high]) AND heart_disease[high] = 0.0\n", + " Activation (THEN-clause):\n", + " stroke_risk[medium] : 0.0\n", + "\n", + "RULE #24:\n", + " IF (((age[young] AND hypertension[high]) AND glucose[normal]) AND bmi[low]) AND heart_disease[low] THEN stroke_risk[medium]\n", + "\tAND aggregation function : fmin\n", + "\tOR aggregation function : fmax\n", + "\n", + " Aggregation (IF-clause):\n", + " - age[young] : 0.0\n", + " - hypertension[high] : 1.0\n", + " - glucose[normal] : 0.0\n", + " - bmi[low] : 0.0\n", + " - heart_disease[low] : 1.0\n", + " (((age[young] AND hypertension[high]) AND glucose[normal]) AND bmi[low]) AND heart_disease[low] = 0.0\n", + " Activation (THEN-clause):\n", + " stroke_risk[medium] : 0.0\n", + "\n", + "RULE #25:\n", + " IF (((age[young] AND hypertension[high]) AND glucose[normal]) AND bmi[low]) AND heart_disease[high] THEN stroke_risk[medium]\n", + "\tAND aggregation function : fmin\n", + "\tOR aggregation function : fmax\n", + "\n", + " Aggregation (IF-clause):\n", + " - age[young] : 0.0\n", + " - hypertension[high] : 1.0\n", + " - glucose[normal] : 0.0\n", + " - bmi[low] : 0.0\n", + " - heart_disease[high] : 0.0\n", + " (((age[young] AND hypertension[high]) AND glucose[normal]) AND bmi[low]) AND heart_disease[high] = 0.0\n", + " Activation (THEN-clause):\n", + " stroke_risk[medium] : 0.0\n", + "\n", + "RULE #26:\n", + " IF (((age[young] AND hypertension[high]) AND glucose[normal]) AND bmi[normal]) AND heart_disease[low] THEN stroke_risk[low]\n", + "\tAND aggregation function : fmin\n", + "\tOR aggregation function : fmax\n", + "\n", + " Aggregation (IF-clause):\n", + " - age[young] : 0.0\n", + " - hypertension[high] : 1.0\n", + " - glucose[normal] : 0.0\n", + " - bmi[normal] : 0.0\n", + " - heart_disease[low] : 1.0\n", + " (((age[young] AND hypertension[high]) AND glucose[normal]) AND bmi[normal]) AND heart_disease[low] = 0.0\n", + " Activation (THEN-clause):\n", + " stroke_risk[low] : 0.0\n", + "\n", + "RULE #27:\n", + " IF (((age[young] AND hypertension[high]) AND glucose[normal]) AND bmi[normal]) AND heart_disease[high] THEN stroke_risk[medium]\n", + "\tAND aggregation function : fmin\n", + "\tOR aggregation function : fmax\n", + "\n", + " Aggregation (IF-clause):\n", + " - age[young] : 0.0\n", + " - hypertension[high] : 1.0\n", + " - glucose[normal] : 0.0\n", + " - bmi[normal] : 0.0\n", + " - heart_disease[high] : 0.0\n", + " (((age[young] AND hypertension[high]) AND glucose[normal]) AND bmi[normal]) AND heart_disease[high] = 0.0\n", + " Activation (THEN-clause):\n", + " stroke_risk[medium] : 0.0\n", + "\n", + "RULE #28:\n", + " IF (((age[young] AND hypertension[high]) AND glucose[normal]) AND bmi[high]) AND heart_disease[low] THEN stroke_risk[medium]\n", + "\tAND aggregation function : fmin\n", + "\tOR aggregation function : fmax\n", + "\n", + " Aggregation (IF-clause):\n", + " - age[young] : 0.0\n", + " - hypertension[high] : 1.0\n", + " - glucose[normal] : 0.0\n", + " - bmi[high] : 0.08000000000000002\n", + " - heart_disease[low] : 1.0\n", + " (((age[young] AND hypertension[high]) AND glucose[normal]) AND bmi[high]) AND heart_disease[low] = 0.0\n", + " Activation (THEN-clause):\n", + " stroke_risk[medium] : 0.0\n", + "\n", + "RULE #29:\n", + " IF (((age[young] AND hypertension[high]) AND glucose[normal]) AND bmi[high]) AND heart_disease[high] THEN stroke_risk[medium]\n", + "\tAND aggregation function : fmin\n", + "\tOR aggregation function : fmax\n", + "\n", + " Aggregation (IF-clause):\n", + " - age[young] : 0.0\n", + " - hypertension[high] : 1.0\n", + " - glucose[normal] : 0.0\n", + " - bmi[high] : 0.08000000000000002\n", + " - heart_disease[high] : 0.0\n", + " (((age[young] AND hypertension[high]) AND glucose[normal]) AND bmi[high]) AND heart_disease[high] = 0.0\n", + " Activation (THEN-clause):\n", + " stroke_risk[medium] : 0.0\n", + "\n", + "RULE #30:\n", + " IF (((age[young] AND hypertension[high]) AND glucose[high]) AND bmi[low]) AND heart_disease[low] THEN stroke_risk[medium]\n", + "\tAND aggregation function : fmin\n", + "\tOR aggregation function : fmax\n", + "\n", + " Aggregation (IF-clause):\n", + " - age[young] : 0.0\n", + " - hypertension[high] : 1.0\n", + " - glucose[high] : 0.6799999999999999\n", + " - bmi[low] : 0.0\n", + " - heart_disease[low] : 1.0\n", + " (((age[young] AND hypertension[high]) AND glucose[high]) AND bmi[low]) AND heart_disease[low] = 0.0\n", + " Activation (THEN-clause):\n", + " stroke_risk[medium] : 0.0\n", + "\n", + "RULE #31:\n", + " IF (((age[young] AND hypertension[high]) AND glucose[high]) AND bmi[low]) AND heart_disease[high] THEN stroke_risk[medium]\n", + "\tAND aggregation function : fmin\n", + "\tOR aggregation function : fmax\n", + "\n", + " Aggregation (IF-clause):\n", + " - age[young] : 0.0\n", + " - hypertension[high] : 1.0\n", + " - glucose[high] : 0.6799999999999999\n", + " - bmi[low] : 0.0\n", + " - heart_disease[high] : 0.0\n", + " (((age[young] AND hypertension[high]) AND glucose[high]) AND bmi[low]) AND heart_disease[high] = 0.0\n", + " Activation (THEN-clause):\n", + " stroke_risk[medium] : 0.0\n", + "\n", + "RULE #32:\n", + " IF (((age[young] AND hypertension[high]) AND glucose[high]) AND bmi[normal]) AND heart_disease[low] THEN stroke_risk[medium]\n", + "\tAND aggregation function : fmin\n", + "\tOR aggregation function : fmax\n", + "\n", + " Aggregation (IF-clause):\n", + " - age[young] : 0.0\n", + " - hypertension[high] : 1.0\n", + " - glucose[high] : 0.6799999999999999\n", + " - bmi[normal] : 0.0\n", + " - heart_disease[low] : 1.0\n", + " (((age[young] AND hypertension[high]) AND glucose[high]) AND bmi[normal]) AND heart_disease[low] = 0.0\n", + " Activation (THEN-clause):\n", + " stroke_risk[medium] : 0.0\n", + "\n", + "RULE #33:\n", + " IF (((age[young] AND hypertension[high]) AND glucose[high]) AND bmi[normal]) AND heart_disease[high] THEN stroke_risk[medium]\n", + "\tAND aggregation function : fmin\n", + "\tOR aggregation function : fmax\n", + "\n", + " Aggregation (IF-clause):\n", + " - age[young] : 0.0\n", + " - hypertension[high] : 1.0\n", + " - glucose[high] : 0.6799999999999999\n", + " - bmi[normal] : 0.0\n", + " - heart_disease[high] : 0.0\n", + " (((age[young] AND hypertension[high]) AND glucose[high]) AND bmi[normal]) AND heart_disease[high] = 0.0\n", + " Activation (THEN-clause):\n", + " stroke_risk[medium] : 0.0\n", + "\n", + "RULE #34:\n", + " IF (((age[young] AND hypertension[high]) AND glucose[high]) AND bmi[high]) AND heart_disease[low] THEN stroke_risk[medium]\n", + "\tAND aggregation function : fmin\n", + "\tOR aggregation function : fmax\n", + "\n", + " Aggregation (IF-clause):\n", + " - age[young] : 0.0\n", + " - hypertension[high] : 1.0\n", + " - glucose[high] : 0.6799999999999999\n", + " - bmi[high] : 0.08000000000000002\n", + " - heart_disease[low] : 1.0\n", + " (((age[young] AND hypertension[high]) AND glucose[high]) AND bmi[high]) AND heart_disease[low] = 0.0\n", + " Activation (THEN-clause):\n", + " stroke_risk[medium] : 0.0\n", + "\n", + "RULE #35:\n", + " IF (((age[young] AND hypertension[high]) AND glucose[high]) AND bmi[high]) AND heart_disease[high] THEN stroke_risk[medium]\n", + "\tAND aggregation function : fmin\n", + "\tOR aggregation function : fmax\n", + "\n", + " Aggregation (IF-clause):\n", + " - age[young] : 0.0\n", + " - hypertension[high] : 1.0\n", + " - glucose[high] : 0.6799999999999999\n", + " - bmi[high] : 0.08000000000000002\n", + " - heart_disease[high] : 0.0\n", + " (((age[young] AND hypertension[high]) AND glucose[high]) AND bmi[high]) AND heart_disease[high] = 0.0\n", + " Activation (THEN-clause):\n", + " stroke_risk[medium] : 0.0\n", + "\n", + "RULE #36:\n", + " IF (((age[middle] AND hypertension[low]) AND glucose[low]) AND bmi[low]) AND heart_disease[low] THEN stroke_risk[low]\n", + "\tAND aggregation function : fmin\n", + "\tOR aggregation function : fmax\n", + "\n", + " Aggregation (IF-clause):\n", + " - age[middle] : 0.0\n", + " - hypertension[low] : 0.0\n", + " - glucose[low] : 0.0\n", + " - bmi[low] : 0.0\n", + " - heart_disease[low] : 1.0\n", + " (((age[middle] AND hypertension[low]) AND glucose[low]) AND bmi[low]) AND heart_disease[low] = 0.0\n", + " Activation (THEN-clause):\n", + " stroke_risk[low] : 0.0\n", + "\n", + "RULE #37:\n", + " IF (((age[middle] AND hypertension[low]) AND glucose[low]) AND bmi[low]) AND heart_disease[high] THEN stroke_risk[low]\n", + "\tAND aggregation function : fmin\n", + "\tOR aggregation function : fmax\n", + "\n", + " Aggregation (IF-clause):\n", + " - age[middle] : 0.0\n", + " - hypertension[low] : 0.0\n", + " - glucose[low] : 0.0\n", + " - bmi[low] : 0.0\n", + " - heart_disease[high] : 0.0\n", + " (((age[middle] AND hypertension[low]) AND glucose[low]) AND bmi[low]) AND heart_disease[high] = 0.0\n", + " Activation (THEN-clause):\n", + " stroke_risk[low] : 0.0\n", + "\n", + "RULE #38:\n", + " IF (((age[middle] AND hypertension[low]) AND glucose[low]) AND bmi[normal]) AND heart_disease[low] THEN stroke_risk[medium]\n", + "\tAND aggregation function : fmin\n", + "\tOR aggregation function : fmax\n", + "\n", + " Aggregation (IF-clause):\n", + " - age[middle] : 0.0\n", + " - hypertension[low] : 0.0\n", + " - glucose[low] : 0.0\n", + " - bmi[normal] : 0.0\n", + " - heart_disease[low] : 1.0\n", + " (((age[middle] AND hypertension[low]) AND glucose[low]) AND bmi[normal]) AND heart_disease[low] = 0.0\n", + " Activation (THEN-clause):\n", + " stroke_risk[medium] : 0.0\n", + "\n", + "RULE #39:\n", + " IF (((age[middle] AND hypertension[low]) AND glucose[low]) AND bmi[normal]) AND heart_disease[high] THEN stroke_risk[medium]\n", + "\tAND aggregation function : fmin\n", + "\tOR aggregation function : fmax\n", + "\n", + " Aggregation (IF-clause):\n", + " - age[middle] : 0.0\n", + " - hypertension[low] : 0.0\n", + " - glucose[low] : 0.0\n", + " - bmi[normal] : 0.0\n", + " - heart_disease[high] : 0.0\n", + " (((age[middle] AND hypertension[low]) AND glucose[low]) AND bmi[normal]) AND heart_disease[high] = 0.0\n", + " Activation (THEN-clause):\n", + " stroke_risk[medium] : 0.0\n", + "\n", + "RULE #40:\n", + " IF (((age[middle] AND hypertension[low]) AND glucose[low]) AND bmi[high]) AND heart_disease[low] THEN stroke_risk[medium]\n", + "\tAND aggregation function : fmin\n", + "\tOR aggregation function : fmax\n", + "\n", + " Aggregation (IF-clause):\n", + " - age[middle] : 0.0\n", + " - hypertension[low] : 0.0\n", + " - glucose[low] : 0.0\n", + " - bmi[high] : 0.08000000000000002\n", + " - heart_disease[low] : 1.0\n", + " (((age[middle] AND hypertension[low]) AND glucose[low]) AND bmi[high]) AND heart_disease[low] = 0.0\n", + " Activation (THEN-clause):\n", + " stroke_risk[medium] : 0.0\n", + "\n", + "RULE #41:\n", + " IF (((age[middle] AND hypertension[low]) AND glucose[low]) AND bmi[high]) AND heart_disease[high] THEN stroke_risk[medium]\n", + "\tAND aggregation function : fmin\n", + "\tOR aggregation function : fmax\n", + "\n", + " Aggregation (IF-clause):\n", + " - age[middle] : 0.0\n", + " - hypertension[low] : 0.0\n", + " - glucose[low] : 0.0\n", + " - bmi[high] : 0.08000000000000002\n", + " - heart_disease[high] : 0.0\n", + " (((age[middle] AND hypertension[low]) AND glucose[low]) AND bmi[high]) AND heart_disease[high] = 0.0\n", + " Activation (THEN-clause):\n", + " stroke_risk[medium] : 0.0\n", + "\n", + "RULE #42:\n", + " IF (((age[middle] AND hypertension[low]) AND glucose[normal]) AND bmi[low]) AND heart_disease[low] THEN stroke_risk[medium]\n", + "\tAND aggregation function : fmin\n", + "\tOR aggregation function : fmax\n", + "\n", + " Aggregation (IF-clause):\n", + " - age[middle] : 0.0\n", + " - hypertension[low] : 0.0\n", + " - glucose[normal] : 0.0\n", + " - bmi[low] : 0.0\n", + " - heart_disease[low] : 1.0\n", + " (((age[middle] AND hypertension[low]) AND glucose[normal]) AND bmi[low]) AND heart_disease[low] = 0.0\n", + " Activation (THEN-clause):\n", + " stroke_risk[medium] : 0.0\n", + "\n", + "RULE #43:\n", + " IF (((age[middle] AND hypertension[low]) AND glucose[normal]) AND bmi[low]) AND heart_disease[high] THEN stroke_risk[medium]\n", + "\tAND aggregation function : fmin\n", + "\tOR aggregation function : fmax\n", + "\n", + " Aggregation (IF-clause):\n", + " - age[middle] : 0.0\n", + " - hypertension[low] : 0.0\n", + " - glucose[normal] : 0.0\n", + " - bmi[low] : 0.0\n", + " - heart_disease[high] : 0.0\n", + " (((age[middle] AND hypertension[low]) AND glucose[normal]) AND bmi[low]) AND heart_disease[high] = 0.0\n", + " Activation (THEN-clause):\n", + " stroke_risk[medium] : 0.0\n", + "\n", + "RULE #44:\n", + " IF (((age[middle] AND hypertension[low]) AND glucose[normal]) AND bmi[normal]) AND heart_disease[low] THEN stroke_risk[low]\n", + "\tAND aggregation function : fmin\n", + "\tOR aggregation function : fmax\n", + "\n", + " Aggregation (IF-clause):\n", + " - age[middle] : 0.0\n", + " - hypertension[low] : 0.0\n", + " - glucose[normal] : 0.0\n", + " - bmi[normal] : 0.0\n", + " - heart_disease[low] : 1.0\n", + " (((age[middle] AND hypertension[low]) AND glucose[normal]) AND bmi[normal]) AND heart_disease[low] = 0.0\n", + " Activation (THEN-clause):\n", + " stroke_risk[low] : 0.0\n", + "\n", + "RULE #45:\n", + " IF (((age[middle] AND hypertension[low]) AND glucose[normal]) AND bmi[normal]) AND heart_disease[high] THEN stroke_risk[medium]\n", + "\tAND aggregation function : fmin\n", + "\tOR aggregation function : fmax\n", + "\n", + " Aggregation (IF-clause):\n", + " - age[middle] : 0.0\n", + " - hypertension[low] : 0.0\n", + " - glucose[normal] : 0.0\n", + " - bmi[normal] : 0.0\n", + " - heart_disease[high] : 0.0\n", + " (((age[middle] AND hypertension[low]) AND glucose[normal]) AND bmi[normal]) AND heart_disease[high] = 0.0\n", + " Activation (THEN-clause):\n", + " stroke_risk[medium] : 0.0\n", + "\n", + "RULE #46:\n", + " IF (((age[middle] AND hypertension[low]) AND glucose[normal]) AND bmi[high]) AND heart_disease[low] THEN stroke_risk[medium]\n", + "\tAND aggregation function : fmin\n", + "\tOR aggregation function : fmax\n", + "\n", + " Aggregation (IF-clause):\n", + " - age[middle] : 0.0\n", + " - hypertension[low] : 0.0\n", + " - glucose[normal] : 0.0\n", + " - bmi[high] : 0.08000000000000002\n", + " - heart_disease[low] : 1.0\n", + " (((age[middle] AND hypertension[low]) AND glucose[normal]) AND bmi[high]) AND heart_disease[low] = 0.0\n", + " Activation (THEN-clause):\n", + " stroke_risk[medium] : 0.0\n", + "\n", + "RULE #47:\n", + " IF (((age[middle] AND hypertension[low]) AND glucose[normal]) AND bmi[high]) AND heart_disease[high] THEN stroke_risk[medium]\n", + "\tAND aggregation function : fmin\n", + "\tOR aggregation function : fmax\n", + "\n", + " Aggregation (IF-clause):\n", + " - age[middle] : 0.0\n", + " - hypertension[low] : 0.0\n", + " - glucose[normal] : 0.0\n", + " - bmi[high] : 0.08000000000000002\n", + " - heart_disease[high] : 0.0\n", + " (((age[middle] AND hypertension[low]) AND glucose[normal]) AND bmi[high]) AND heart_disease[high] = 0.0\n", + " Activation (THEN-clause):\n", + " stroke_risk[medium] : 0.0\n", + "\n", + "RULE #48:\n", + " IF (((age[middle] AND hypertension[low]) AND glucose[high]) AND bmi[low]) AND heart_disease[low] THEN stroke_risk[medium]\n", + "\tAND aggregation function : fmin\n", + "\tOR aggregation function : fmax\n", + "\n", + " Aggregation (IF-clause):\n", + " - age[middle] : 0.0\n", + " - hypertension[low] : 0.0\n", + " - glucose[high] : 0.6799999999999999\n", + " - bmi[low] : 0.0\n", + " - heart_disease[low] : 1.0\n", + " (((age[middle] AND hypertension[low]) AND glucose[high]) AND bmi[low]) AND heart_disease[low] = 0.0\n", + " Activation (THEN-clause):\n", + " stroke_risk[medium] : 0.0\n", + "\n", + "RULE #49:\n", + " IF (((age[middle] AND hypertension[low]) AND glucose[high]) AND bmi[low]) AND heart_disease[high] THEN stroke_risk[medium]\n", + "\tAND aggregation function : fmin\n", + "\tOR aggregation function : fmax\n", + "\n", + " Aggregation (IF-clause):\n", + " - age[middle] : 0.0\n", + " - hypertension[low] : 0.0\n", + " - glucose[high] : 0.6799999999999999\n", + " - bmi[low] : 0.0\n", + " - heart_disease[high] : 0.0\n", + " (((age[middle] AND hypertension[low]) AND glucose[high]) AND bmi[low]) AND heart_disease[high] = 0.0\n", + " Activation (THEN-clause):\n", + " stroke_risk[medium] : 0.0\n", + "\n", + "RULE #50:\n", + " IF (((age[middle] AND hypertension[low]) AND glucose[high]) AND bmi[normal]) AND heart_disease[low] THEN stroke_risk[medium]\n", + "\tAND aggregation function : fmin\n", + "\tOR aggregation function : fmax\n", + "\n", + " Aggregation (IF-clause):\n", + " - age[middle] : 0.0\n", + " - hypertension[low] : 0.0\n", + " - glucose[high] : 0.6799999999999999\n", + " - bmi[normal] : 0.0\n", + " - heart_disease[low] : 1.0\n", + " (((age[middle] AND hypertension[low]) AND glucose[high]) AND bmi[normal]) AND heart_disease[low] = 0.0\n", + " Activation (THEN-clause):\n", + " stroke_risk[medium] : 0.0\n", + "\n", + "RULE #51:\n", + " IF (((age[middle] AND hypertension[low]) AND glucose[high]) AND bmi[normal]) AND heart_disease[high] THEN stroke_risk[medium]\n", + "\tAND aggregation function : fmin\n", + "\tOR aggregation function : fmax\n", + "\n", + " Aggregation (IF-clause):\n", + " - age[middle] : 0.0\n", + " - hypertension[low] : 0.0\n", + " - glucose[high] : 0.6799999999999999\n", + " - bmi[normal] : 0.0\n", + " - heart_disease[high] : 0.0\n", + " (((age[middle] AND hypertension[low]) AND glucose[high]) AND bmi[normal]) AND heart_disease[high] = 0.0\n", + " Activation (THEN-clause):\n", + " stroke_risk[medium] : 0.0\n", + "\n", + "RULE #52:\n", + " IF (((age[middle] AND hypertension[low]) AND glucose[high]) AND bmi[high]) AND heart_disease[low] THEN stroke_risk[medium]\n", + "\tAND aggregation function : fmin\n", + "\tOR aggregation function : fmax\n", + "\n", + " Aggregation (IF-clause):\n", + " - age[middle] : 0.0\n", + " - hypertension[low] : 0.0\n", + " - glucose[high] : 0.6799999999999999\n", + " - bmi[high] : 0.08000000000000002\n", + " - heart_disease[low] : 1.0\n", + " (((age[middle] AND hypertension[low]) AND glucose[high]) AND bmi[high]) AND heart_disease[low] = 0.0\n", + " Activation (THEN-clause):\n", + " stroke_risk[medium] : 0.0\n", + "\n", + "RULE #53:\n", + " IF (((age[middle] AND hypertension[low]) AND glucose[high]) AND bmi[high]) AND heart_disease[high] THEN stroke_risk[medium]\n", + "\tAND aggregation function : fmin\n", + "\tOR aggregation function : fmax\n", + "\n", + " Aggregation (IF-clause):\n", + " - age[middle] : 0.0\n", + " - hypertension[low] : 0.0\n", + " - glucose[high] : 0.6799999999999999\n", + " - bmi[high] : 0.08000000000000002\n", + " - heart_disease[high] : 0.0\n", + " (((age[middle] AND hypertension[low]) AND glucose[high]) AND bmi[high]) AND heart_disease[high] = 0.0\n", + " Activation (THEN-clause):\n", + " stroke_risk[medium] : 0.0\n", + "\n", + "RULE #54:\n", + " IF (((age[middle] AND hypertension[high]) AND glucose[low]) AND bmi[low]) AND heart_disease[low] THEN stroke_risk[medium]\n", + "\tAND aggregation function : fmin\n", + "\tOR aggregation function : fmax\n", + "\n", + " Aggregation (IF-clause):\n", + " - age[middle] : 0.0\n", + " - hypertension[high] : 1.0\n", + " - glucose[low] : 0.0\n", + " - bmi[low] : 0.0\n", + " - heart_disease[low] : 1.0\n", + " (((age[middle] AND hypertension[high]) AND glucose[low]) AND bmi[low]) AND heart_disease[low] = 0.0\n", + " Activation (THEN-clause):\n", + " stroke_risk[medium] : 0.0\n", + "\n", + "RULE #55:\n", + " IF (((age[middle] AND hypertension[high]) AND glucose[low]) AND bmi[low]) AND heart_disease[high] THEN stroke_risk[medium]\n", + "\tAND aggregation function : fmin\n", + "\tOR aggregation function : fmax\n", + "\n", + " Aggregation (IF-clause):\n", + " - age[middle] : 0.0\n", + " - hypertension[high] : 1.0\n", + " - glucose[low] : 0.0\n", + " - bmi[low] : 0.0\n", + " - heart_disease[high] : 0.0\n", + " (((age[middle] AND hypertension[high]) AND glucose[low]) AND bmi[low]) AND heart_disease[high] = 0.0\n", + " Activation (THEN-clause):\n", + " stroke_risk[medium] : 0.0\n", + "\n", + "RULE #56:\n", + " IF (((age[middle] AND hypertension[high]) AND glucose[low]) AND bmi[normal]) AND heart_disease[low] THEN stroke_risk[medium]\n", + "\tAND aggregation function : fmin\n", + "\tOR aggregation function : fmax\n", + "\n", + " Aggregation (IF-clause):\n", + " - age[middle] : 0.0\n", + " - hypertension[high] : 1.0\n", + " - glucose[low] : 0.0\n", + " - bmi[normal] : 0.0\n", + " - heart_disease[low] : 1.0\n", + " (((age[middle] AND hypertension[high]) AND glucose[low]) AND bmi[normal]) AND heart_disease[low] = 0.0\n", + " Activation (THEN-clause):\n", + " stroke_risk[medium] : 0.0\n", + "\n", + "RULE #57:\n", + " IF (((age[middle] AND hypertension[high]) AND glucose[low]) AND bmi[normal]) AND heart_disease[high] THEN stroke_risk[medium]\n", + "\tAND aggregation function : fmin\n", + "\tOR aggregation function : fmax\n", + "\n", + " Aggregation (IF-clause):\n", + " - age[middle] : 0.0\n", + " - hypertension[high] : 1.0\n", + " - glucose[low] : 0.0\n", + " - bmi[normal] : 0.0\n", + " - heart_disease[high] : 0.0\n", + " (((age[middle] AND hypertension[high]) AND glucose[low]) AND bmi[normal]) AND heart_disease[high] = 0.0\n", + " Activation (THEN-clause):\n", + " stroke_risk[medium] : 0.0\n", + "\n", + "RULE #58:\n", + " IF (((age[middle] AND hypertension[high]) AND glucose[low]) AND bmi[high]) AND heart_disease[low] THEN stroke_risk[medium]\n", + "\tAND aggregation function : fmin\n", + "\tOR aggregation function : fmax\n", + "\n", + " Aggregation (IF-clause):\n", + " - age[middle] : 0.0\n", + " - hypertension[high] : 1.0\n", + " - glucose[low] : 0.0\n", + " - bmi[high] : 0.08000000000000002\n", + " - heart_disease[low] : 1.0\n", + " (((age[middle] AND hypertension[high]) AND glucose[low]) AND bmi[high]) AND heart_disease[low] = 0.0\n", + " Activation (THEN-clause):\n", + " stroke_risk[medium] : 0.0\n", + "\n", + "RULE #59:\n", + " IF (((age[middle] AND hypertension[high]) AND glucose[low]) AND bmi[high]) AND heart_disease[high] THEN stroke_risk[medium]\n", + "\tAND aggregation function : fmin\n", + "\tOR aggregation function : fmax\n", + "\n", + " Aggregation (IF-clause):\n", + " - age[middle] : 0.0\n", + " - hypertension[high] : 1.0\n", + " - glucose[low] : 0.0\n", + " - bmi[high] : 0.08000000000000002\n", + " - heart_disease[high] : 0.0\n", + " (((age[middle] AND hypertension[high]) AND glucose[low]) AND bmi[high]) AND heart_disease[high] = 0.0\n", + " Activation (THEN-clause):\n", + " stroke_risk[medium] : 0.0\n", + "\n", + "RULE #60:\n", + " IF (((age[middle] AND hypertension[high]) AND glucose[normal]) AND bmi[low]) AND heart_disease[low] THEN stroke_risk[medium]\n", + "\tAND aggregation function : fmin\n", + "\tOR aggregation function : fmax\n", + "\n", + " Aggregation (IF-clause):\n", + " - age[middle] : 0.0\n", + " - hypertension[high] : 1.0\n", + " - glucose[normal] : 0.0\n", + " - bmi[low] : 0.0\n", + " - heart_disease[low] : 1.0\n", + " (((age[middle] AND hypertension[high]) AND glucose[normal]) AND bmi[low]) AND heart_disease[low] = 0.0\n", + " Activation (THEN-clause):\n", + " stroke_risk[medium] : 0.0\n", + "\n", + "RULE #61:\n", + " IF (((age[middle] AND hypertension[high]) AND glucose[normal]) AND bmi[low]) AND heart_disease[high] THEN stroke_risk[medium]\n", + "\tAND aggregation function : fmin\n", + "\tOR aggregation function : fmax\n", + "\n", + " Aggregation (IF-clause):\n", + " - age[middle] : 0.0\n", + " - hypertension[high] : 1.0\n", + " - glucose[normal] : 0.0\n", + " - bmi[low] : 0.0\n", + " - heart_disease[high] : 0.0\n", + " (((age[middle] AND hypertension[high]) AND glucose[normal]) AND bmi[low]) AND heart_disease[high] = 0.0\n", + " Activation (THEN-clause):\n", + " stroke_risk[medium] : 0.0\n", + "\n", + "RULE #62:\n", + " IF (((age[middle] AND hypertension[high]) AND glucose[normal]) AND bmi[normal]) AND heart_disease[low] THEN stroke_risk[low]\n", + "\tAND aggregation function : fmin\n", + "\tOR aggregation function : fmax\n", + "\n", + " Aggregation (IF-clause):\n", + " - age[middle] : 0.0\n", + " - hypertension[high] : 1.0\n", + " - glucose[normal] : 0.0\n", + " - bmi[normal] : 0.0\n", + " - heart_disease[low] : 1.0\n", + " (((age[middle] AND hypertension[high]) AND glucose[normal]) AND bmi[normal]) AND heart_disease[low] = 0.0\n", + " Activation (THEN-clause):\n", + " stroke_risk[low] : 0.0\n", + "\n", + "RULE #63:\n", + " IF (((age[middle] AND hypertension[high]) AND glucose[normal]) AND bmi[normal]) AND heart_disease[high] THEN stroke_risk[medium]\n", + "\tAND aggregation function : fmin\n", + "\tOR aggregation function : fmax\n", + "\n", + " Aggregation (IF-clause):\n", + " - age[middle] : 0.0\n", + " - hypertension[high] : 1.0\n", + " - glucose[normal] : 0.0\n", + " - bmi[normal] : 0.0\n", + " - heart_disease[high] : 0.0\n", + " (((age[middle] AND hypertension[high]) AND glucose[normal]) AND bmi[normal]) AND heart_disease[high] = 0.0\n", + " Activation (THEN-clause):\n", + " stroke_risk[medium] : 0.0\n", + "\n", + "RULE #64:\n", + " IF (((age[middle] AND hypertension[high]) AND glucose[normal]) AND bmi[high]) AND heart_disease[low] THEN stroke_risk[medium]\n", + "\tAND aggregation function : fmin\n", + "\tOR aggregation function : fmax\n", + "\n", + " Aggregation (IF-clause):\n", + " - age[middle] : 0.0\n", + " - hypertension[high] : 1.0\n", + " - glucose[normal] : 0.0\n", + " - bmi[high] : 0.08000000000000002\n", + " - heart_disease[low] : 1.0\n", + " (((age[middle] AND hypertension[high]) AND glucose[normal]) AND bmi[high]) AND heart_disease[low] = 0.0\n", + " Activation (THEN-clause):\n", + " stroke_risk[medium] : 0.0\n", + "\n", + "RULE #65:\n", + " IF (((age[middle] AND hypertension[high]) AND glucose[normal]) AND bmi[high]) AND heart_disease[high] THEN stroke_risk[medium]\n", + "\tAND aggregation function : fmin\n", + "\tOR aggregation function : fmax\n", + "\n", + " Aggregation (IF-clause):\n", + " - age[middle] : 0.0\n", + " - hypertension[high] : 1.0\n", + " - glucose[normal] : 0.0\n", + " - bmi[high] : 0.08000000000000002\n", + " - heart_disease[high] : 0.0\n", + " (((age[middle] AND hypertension[high]) AND glucose[normal]) AND bmi[high]) AND heart_disease[high] = 0.0\n", + " Activation (THEN-clause):\n", + " stroke_risk[medium] : 0.0\n", + "\n", + "RULE #66:\n", + " IF (((age[middle] AND hypertension[high]) AND glucose[high]) AND bmi[low]) AND heart_disease[low] THEN stroke_risk[medium]\n", + "\tAND aggregation function : fmin\n", + "\tOR aggregation function : fmax\n", + "\n", + " Aggregation (IF-clause):\n", + " - age[middle] : 0.0\n", + " - hypertension[high] : 1.0\n", + " - glucose[high] : 0.6799999999999999\n", + " - bmi[low] : 0.0\n", + " - heart_disease[low] : 1.0\n", + " (((age[middle] AND hypertension[high]) AND glucose[high]) AND bmi[low]) AND heart_disease[low] = 0.0\n", + " Activation (THEN-clause):\n", + " stroke_risk[medium] : 0.0\n", + "\n", + "RULE #67:\n", + " IF (((age[middle] AND hypertension[high]) AND glucose[high]) AND bmi[low]) AND heart_disease[high] THEN stroke_risk[medium]\n", + "\tAND aggregation function : fmin\n", + "\tOR aggregation function : fmax\n", + "\n", + " Aggregation (IF-clause):\n", + " - age[middle] : 0.0\n", + " - hypertension[high] : 1.0\n", + " - glucose[high] : 0.6799999999999999\n", + " - bmi[low] : 0.0\n", + " - heart_disease[high] : 0.0\n", + " (((age[middle] AND hypertension[high]) AND glucose[high]) AND bmi[low]) AND heart_disease[high] = 0.0\n", + " Activation (THEN-clause):\n", + " stroke_risk[medium] : 0.0\n", + "\n", + "RULE #68:\n", + " IF (((age[middle] AND hypertension[high]) AND glucose[high]) AND bmi[normal]) AND heart_disease[low] THEN stroke_risk[high]\n", + "\tAND aggregation function : fmin\n", + "\tOR aggregation function : fmax\n", + "\n", + " Aggregation (IF-clause):\n", + " - age[middle] : 0.0\n", + " - hypertension[high] : 1.0\n", + " - glucose[high] : 0.6799999999999999\n", + " - bmi[normal] : 0.0\n", + " - heart_disease[low] : 1.0\n", + " (((age[middle] AND hypertension[high]) AND glucose[high]) AND bmi[normal]) AND heart_disease[low] = 0.0\n", + " Activation (THEN-clause):\n", + " stroke_risk[high] : 0.0\n", + "\n", + "RULE #69:\n", + " IF (((age[middle] AND hypertension[high]) AND glucose[high]) AND bmi[normal]) AND heart_disease[high] THEN stroke_risk[high]\n", + "\tAND aggregation function : fmin\n", + "\tOR aggregation function : fmax\n", + "\n", + " Aggregation (IF-clause):\n", + " - age[middle] : 0.0\n", + " - hypertension[high] : 1.0\n", + " - glucose[high] : 0.6799999999999999\n", + " - bmi[normal] : 0.0\n", + " - heart_disease[high] : 0.0\n", + " (((age[middle] AND hypertension[high]) AND glucose[high]) AND bmi[normal]) AND heart_disease[high] = 0.0\n", + " Activation (THEN-clause):\n", + " stroke_risk[high] : 0.0\n", + "\n", + "RULE #70:\n", + " IF (((age[middle] AND hypertension[high]) AND glucose[high]) AND bmi[high]) AND heart_disease[low] THEN stroke_risk[high]\n", + "\tAND aggregation function : fmin\n", + "\tOR aggregation function : fmax\n", + "\n", + " Aggregation (IF-clause):\n", + " - age[middle] : 0.0\n", + " - hypertension[high] : 1.0\n", + " - glucose[high] : 0.6799999999999999\n", + " - bmi[high] : 0.08000000000000002\n", + " - heart_disease[low] : 1.0\n", + " (((age[middle] AND hypertension[high]) AND glucose[high]) AND bmi[high]) AND heart_disease[low] = 0.0\n", + " Activation (THEN-clause):\n", + " stroke_risk[high] : 0.0\n", + "\n", + "RULE #71:\n", + " IF (((age[middle] AND hypertension[high]) AND glucose[high]) AND bmi[high]) AND heart_disease[high] THEN stroke_risk[high]\n", + "\tAND aggregation function : fmin\n", + "\tOR aggregation function : fmax\n", + "\n", + " Aggregation (IF-clause):\n", + " - age[middle] : 0.0\n", + " - hypertension[high] : 1.0\n", + " - glucose[high] : 0.6799999999999999\n", + " - bmi[high] : 0.08000000000000002\n", + " - heart_disease[high] : 0.0\n", + " (((age[middle] AND hypertension[high]) AND glucose[high]) AND bmi[high]) AND heart_disease[high] = 0.0\n", + " Activation (THEN-clause):\n", + " stroke_risk[high] : 0.0\n", + "\n", + "RULE #72:\n", + " IF (((age[old] AND hypertension[low]) AND glucose[low]) AND bmi[low]) AND heart_disease[low] THEN stroke_risk[medium]\n", + "\tAND aggregation function : fmin\n", + "\tOR aggregation function : fmax\n", + "\n", + " Aggregation (IF-clause):\n", + " - age[old] : 0.0\n", + " - hypertension[low] : 0.0\n", + " - glucose[low] : 0.0\n", + " - bmi[low] : 0.0\n", + " - heart_disease[low] : 1.0\n", + " (((age[old] AND hypertension[low]) AND glucose[low]) AND bmi[low]) AND heart_disease[low] = 0.0\n", + " Activation (THEN-clause):\n", + " stroke_risk[medium] : 0.0\n", + "\n", + "RULE #73:\n", + " IF (((age[old] AND hypertension[low]) AND glucose[low]) AND bmi[low]) AND heart_disease[high] THEN stroke_risk[medium]\n", + "\tAND aggregation function : fmin\n", + "\tOR aggregation function : fmax\n", + "\n", + " Aggregation (IF-clause):\n", + " - age[old] : 0.0\n", + " - hypertension[low] : 0.0\n", + " - glucose[low] : 0.0\n", + " - bmi[low] : 0.0\n", + " - heart_disease[high] : 0.0\n", + " (((age[old] AND hypertension[low]) AND glucose[low]) AND bmi[low]) AND heart_disease[high] = 0.0\n", + " Activation (THEN-clause):\n", + " stroke_risk[medium] : 0.0\n", + "\n", + "RULE #74:\n", + " IF (((age[old] AND hypertension[low]) AND glucose[low]) AND bmi[normal]) AND heart_disease[low] THEN stroke_risk[medium]\n", + "\tAND aggregation function : fmin\n", + "\tOR aggregation function : fmax\n", + "\n", + " Aggregation (IF-clause):\n", + " - age[old] : 0.0\n", + " - hypertension[low] : 0.0\n", + " - glucose[low] : 0.0\n", + " - bmi[normal] : 0.0\n", + " - heart_disease[low] : 1.0\n", + " (((age[old] AND hypertension[low]) AND glucose[low]) AND bmi[normal]) AND heart_disease[low] = 0.0\n", + " Activation (THEN-clause):\n", + " stroke_risk[medium] : 0.0\n", + "\n", + "RULE #75:\n", + " IF (((age[old] AND hypertension[low]) AND glucose[low]) AND bmi[normal]) AND heart_disease[high] THEN stroke_risk[medium]\n", + "\tAND aggregation function : fmin\n", + "\tOR aggregation function : fmax\n", + "\n", + " Aggregation (IF-clause):\n", + " - age[old] : 0.0\n", + " - hypertension[low] : 0.0\n", + " - glucose[low] : 0.0\n", + " - bmi[normal] : 0.0\n", + " - heart_disease[high] : 0.0\n", + " (((age[old] AND hypertension[low]) AND glucose[low]) AND bmi[normal]) AND heart_disease[high] = 0.0\n", + " Activation (THEN-clause):\n", + " stroke_risk[medium] : 0.0\n", + "\n", + "RULE #76:\n", + " IF (((age[old] AND hypertension[low]) AND glucose[low]) AND bmi[high]) AND heart_disease[low] THEN stroke_risk[medium]\n", + "\tAND aggregation function : fmin\n", + "\tOR aggregation function : fmax\n", + "\n", + " Aggregation (IF-clause):\n", + " - age[old] : 0.0\n", + " - hypertension[low] : 0.0\n", + " - glucose[low] : 0.0\n", + " - bmi[high] : 0.08000000000000002\n", + " - heart_disease[low] : 1.0\n", + " (((age[old] AND hypertension[low]) AND glucose[low]) AND bmi[high]) AND heart_disease[low] = 0.0\n", + " Activation (THEN-clause):\n", + " stroke_risk[medium] : 0.0\n", + "\n", + "RULE #77:\n", + " IF (((age[old] AND hypertension[low]) AND glucose[low]) AND bmi[high]) AND heart_disease[high] THEN stroke_risk[medium]\n", + "\tAND aggregation function : fmin\n", + "\tOR aggregation function : fmax\n", + "\n", + " Aggregation (IF-clause):\n", + " - age[old] : 0.0\n", + " - hypertension[low] : 0.0\n", + " - glucose[low] : 0.0\n", + " - bmi[high] : 0.08000000000000002\n", + " - heart_disease[high] : 0.0\n", + " (((age[old] AND hypertension[low]) AND glucose[low]) AND bmi[high]) AND heart_disease[high] = 0.0\n", + " Activation (THEN-clause):\n", + " stroke_risk[medium] : 0.0\n", + "\n", + "RULE #78:\n", + " IF (((age[old] AND hypertension[low]) AND glucose[normal]) AND bmi[low]) AND heart_disease[low] THEN stroke_risk[medium]\n", + "\tAND aggregation function : fmin\n", + "\tOR aggregation function : fmax\n", + "\n", + " Aggregation (IF-clause):\n", + " - age[old] : 0.0\n", + " - hypertension[low] : 0.0\n", + " - glucose[normal] : 0.0\n", + " - bmi[low] : 0.0\n", + " - heart_disease[low] : 1.0\n", + " (((age[old] AND hypertension[low]) AND glucose[normal]) AND bmi[low]) AND heart_disease[low] = 0.0\n", + " Activation (THEN-clause):\n", + " stroke_risk[medium] : 0.0\n", + "\n", + "RULE #79:\n", + " IF (((age[old] AND hypertension[low]) AND glucose[normal]) AND bmi[low]) AND heart_disease[high] THEN stroke_risk[medium]\n", + "\tAND aggregation function : fmin\n", + "\tOR aggregation function : fmax\n", + "\n", + " Aggregation (IF-clause):\n", + " - age[old] : 0.0\n", + " - hypertension[low] : 0.0\n", + " - glucose[normal] : 0.0\n", + " - bmi[low] : 0.0\n", + " - heart_disease[high] : 0.0\n", + " (((age[old] AND hypertension[low]) AND glucose[normal]) AND bmi[low]) AND heart_disease[high] = 0.0\n", + " Activation (THEN-clause):\n", + " stroke_risk[medium] : 0.0\n", + "\n", + "RULE #80:\n", + " IF (((age[old] AND hypertension[low]) AND glucose[normal]) AND bmi[normal]) AND heart_disease[low] THEN stroke_risk[low]\n", + "\tAND aggregation function : fmin\n", + "\tOR aggregation function : fmax\n", + "\n", + " Aggregation (IF-clause):\n", + " - age[old] : 0.0\n", + " - hypertension[low] : 0.0\n", + " - glucose[normal] : 0.0\n", + " - bmi[normal] : 0.0\n", + " - heart_disease[low] : 1.0\n", + " (((age[old] AND hypertension[low]) AND glucose[normal]) AND bmi[normal]) AND heart_disease[low] = 0.0\n", + " Activation (THEN-clause):\n", + " stroke_risk[low] : 0.0\n", + "\n", + "RULE #81:\n", + " IF (((age[old] AND hypertension[low]) AND glucose[normal]) AND bmi[normal]) AND heart_disease[high] THEN stroke_risk[medium]\n", + "\tAND aggregation function : fmin\n", + "\tOR aggregation function : fmax\n", + "\n", + " Aggregation (IF-clause):\n", + " - age[old] : 0.0\n", + " - hypertension[low] : 0.0\n", + " - glucose[normal] : 0.0\n", + " - bmi[normal] : 0.0\n", + " - heart_disease[high] : 0.0\n", + " (((age[old] AND hypertension[low]) AND glucose[normal]) AND bmi[normal]) AND heart_disease[high] = 0.0\n", + " Activation (THEN-clause):\n", + " stroke_risk[medium] : 0.0\n", + "\n", + "RULE #82:\n", + " IF (((age[old] AND hypertension[low]) AND glucose[normal]) AND bmi[high]) AND heart_disease[low] THEN stroke_risk[medium]\n", + "\tAND aggregation function : fmin\n", + "\tOR aggregation function : fmax\n", + "\n", + " Aggregation (IF-clause):\n", + " - age[old] : 0.0\n", + " - hypertension[low] : 0.0\n", + " - glucose[normal] : 0.0\n", + " - bmi[high] : 0.08000000000000002\n", + " - heart_disease[low] : 1.0\n", + " (((age[old] AND hypertension[low]) AND glucose[normal]) AND bmi[high]) AND heart_disease[low] = 0.0\n", + " Activation (THEN-clause):\n", + " stroke_risk[medium] : 0.0\n", + "\n", + "RULE #83:\n", + " IF (((age[old] AND hypertension[low]) AND glucose[normal]) AND bmi[high]) AND heart_disease[high] THEN stroke_risk[medium]\n", + "\tAND aggregation function : fmin\n", + "\tOR aggregation function : fmax\n", + "\n", + " Aggregation (IF-clause):\n", + " - age[old] : 0.0\n", + " - hypertension[low] : 0.0\n", + " - glucose[normal] : 0.0\n", + " - bmi[high] : 0.08000000000000002\n", + " - heart_disease[high] : 0.0\n", + " (((age[old] AND hypertension[low]) AND glucose[normal]) AND bmi[high]) AND heart_disease[high] = 0.0\n", + " Activation (THEN-clause):\n", + " stroke_risk[medium] : 0.0\n", + "\n", + "RULE #84:\n", + " IF (((age[old] AND hypertension[low]) AND glucose[high]) AND bmi[low]) AND heart_disease[low] THEN stroke_risk[medium]\n", + "\tAND aggregation function : fmin\n", + "\tOR aggregation function : fmax\n", + "\n", + " Aggregation (IF-clause):\n", + " - age[old] : 0.0\n", + " - hypertension[low] : 0.0\n", + " - glucose[high] : 0.6799999999999999\n", + " - bmi[low] : 0.0\n", + " - heart_disease[low] : 1.0\n", + " (((age[old] AND hypertension[low]) AND glucose[high]) AND bmi[low]) AND heart_disease[low] = 0.0\n", + " Activation (THEN-clause):\n", + " stroke_risk[medium] : 0.0\n", + "\n", + "RULE #85:\n", + " IF (((age[old] AND hypertension[low]) AND glucose[high]) AND bmi[low]) AND heart_disease[high] THEN stroke_risk[medium]\n", + "\tAND aggregation function : fmin\n", + "\tOR aggregation function : fmax\n", + "\n", + " Aggregation (IF-clause):\n", + " - age[old] : 0.0\n", + " - hypertension[low] : 0.0\n", + " - glucose[high] : 0.6799999999999999\n", + " - bmi[low] : 0.0\n", + " - heart_disease[high] : 0.0\n", + " (((age[old] AND hypertension[low]) AND glucose[high]) AND bmi[low]) AND heart_disease[high] = 0.0\n", + " Activation (THEN-clause):\n", + " stroke_risk[medium] : 0.0\n", + "\n", + "RULE #86:\n", + " IF (((age[old] AND hypertension[low]) AND glucose[high]) AND bmi[normal]) AND heart_disease[low] THEN stroke_risk[medium]\n", + "\tAND aggregation function : fmin\n", + "\tOR aggregation function : fmax\n", + "\n", + " Aggregation (IF-clause):\n", + " - age[old] : 0.0\n", + " - hypertension[low] : 0.0\n", + " - glucose[high] : 0.6799999999999999\n", + " - bmi[normal] : 0.0\n", + " - heart_disease[low] : 1.0\n", + " (((age[old] AND hypertension[low]) AND glucose[high]) AND bmi[normal]) AND heart_disease[low] = 0.0\n", + " Activation (THEN-clause):\n", + " stroke_risk[medium] : 0.0\n", + "\n", + "RULE #87:\n", + " IF (((age[old] AND hypertension[low]) AND glucose[high]) AND bmi[normal]) AND heart_disease[high] THEN stroke_risk[medium]\n", + "\tAND aggregation function : fmin\n", + "\tOR aggregation function : fmax\n", + "\n", + " Aggregation (IF-clause):\n", + " - age[old] : 0.0\n", + " - hypertension[low] : 0.0\n", + " - glucose[high] : 0.6799999999999999\n", + " - bmi[normal] : 0.0\n", + " - heart_disease[high] : 0.0\n", + " (((age[old] AND hypertension[low]) AND glucose[high]) AND bmi[normal]) AND heart_disease[high] = 0.0\n", + " Activation (THEN-clause):\n", + " stroke_risk[medium] : 0.0\n", + "\n", + "RULE #88:\n", + " IF (((age[old] AND hypertension[low]) AND glucose[high]) AND bmi[high]) AND heart_disease[low] THEN stroke_risk[medium]\n", + "\tAND aggregation function : fmin\n", + "\tOR aggregation function : fmax\n", + "\n", + " Aggregation (IF-clause):\n", + " - age[old] : 0.0\n", + " - hypertension[low] : 0.0\n", + " - glucose[high] : 0.6799999999999999\n", + " - bmi[high] : 0.08000000000000002\n", + " - heart_disease[low] : 1.0\n", + " (((age[old] AND hypertension[low]) AND glucose[high]) AND bmi[high]) AND heart_disease[low] = 0.0\n", + " Activation (THEN-clause):\n", + " stroke_risk[medium] : 0.0\n", + "\n", + "RULE #89:\n", + " IF (((age[old] AND hypertension[low]) AND glucose[high]) AND bmi[high]) AND heart_disease[high] THEN stroke_risk[medium]\n", + "\tAND aggregation function : fmin\n", + "\tOR aggregation function : fmax\n", + "\n", + " Aggregation (IF-clause):\n", + " - age[old] : 0.0\n", + " - hypertension[low] : 0.0\n", + " - glucose[high] : 0.6799999999999999\n", + " - bmi[high] : 0.08000000000000002\n", + " - heart_disease[high] : 0.0\n", + " (((age[old] AND hypertension[low]) AND glucose[high]) AND bmi[high]) AND heart_disease[high] = 0.0\n", + " Activation (THEN-clause):\n", + " stroke_risk[medium] : 0.0\n", + "\n", + "RULE #90:\n", + " IF (((age[old] AND hypertension[high]) AND glucose[low]) AND bmi[low]) AND heart_disease[low] THEN stroke_risk[medium]\n", + "\tAND aggregation function : fmin\n", + "\tOR aggregation function : fmax\n", + "\n", + " Aggregation (IF-clause):\n", + " - age[old] : 0.0\n", + " - hypertension[high] : 1.0\n", + " - glucose[low] : 0.0\n", + " - bmi[low] : 0.0\n", + " - heart_disease[low] : 1.0\n", + " (((age[old] AND hypertension[high]) AND glucose[low]) AND bmi[low]) AND heart_disease[low] = 0.0\n", + " Activation (THEN-clause):\n", + " stroke_risk[medium] : 0.0\n", + "\n", + "RULE #91:\n", + " IF (((age[old] AND hypertension[high]) AND glucose[low]) AND bmi[low]) AND heart_disease[high] THEN stroke_risk[medium]\n", + "\tAND aggregation function : fmin\n", + "\tOR aggregation function : fmax\n", + "\n", + " Aggregation (IF-clause):\n", + " - age[old] : 0.0\n", + " - hypertension[high] : 1.0\n", + " - glucose[low] : 0.0\n", + " - bmi[low] : 0.0\n", + " - heart_disease[high] : 0.0\n", + " (((age[old] AND hypertension[high]) AND glucose[low]) AND bmi[low]) AND heart_disease[high] = 0.0\n", + " Activation (THEN-clause):\n", + " stroke_risk[medium] : 0.0\n", + "\n", + "RULE #92:\n", + " IF (((age[old] AND hypertension[high]) AND glucose[low]) AND bmi[normal]) AND heart_disease[low] THEN stroke_risk[medium]\n", + "\tAND aggregation function : fmin\n", + "\tOR aggregation function : fmax\n", + "\n", + " Aggregation (IF-clause):\n", + " - age[old] : 0.0\n", + " - hypertension[high] : 1.0\n", + " - glucose[low] : 0.0\n", + " - bmi[normal] : 0.0\n", + " - heart_disease[low] : 1.0\n", + " (((age[old] AND hypertension[high]) AND glucose[low]) AND bmi[normal]) AND heart_disease[low] = 0.0\n", + " Activation (THEN-clause):\n", + " stroke_risk[medium] : 0.0\n", + "\n", + "RULE #93:\n", + " IF (((age[old] AND hypertension[high]) AND glucose[low]) AND bmi[normal]) AND heart_disease[high] THEN stroke_risk[medium]\n", + "\tAND aggregation function : fmin\n", + "\tOR aggregation function : fmax\n", + "\n", + " Aggregation (IF-clause):\n", + " - age[old] : 0.0\n", + " - hypertension[high] : 1.0\n", + " - glucose[low] : 0.0\n", + " - bmi[normal] : 0.0\n", + " - heart_disease[high] : 0.0\n", + " (((age[old] AND hypertension[high]) AND glucose[low]) AND bmi[normal]) AND heart_disease[high] = 0.0\n", + " Activation (THEN-clause):\n", + " stroke_risk[medium] : 0.0\n", + "\n", + "RULE #94:\n", + " IF (((age[old] AND hypertension[high]) AND glucose[low]) AND bmi[high]) AND heart_disease[low] THEN stroke_risk[medium]\n", + "\tAND aggregation function : fmin\n", + "\tOR aggregation function : fmax\n", + "\n", + " Aggregation (IF-clause):\n", + " - age[old] : 0.0\n", + " - hypertension[high] : 1.0\n", + " - glucose[low] : 0.0\n", + " - bmi[high] : 0.08000000000000002\n", + " - heart_disease[low] : 1.0\n", + " (((age[old] AND hypertension[high]) AND glucose[low]) AND bmi[high]) AND heart_disease[low] = 0.0\n", + " Activation (THEN-clause):\n", + " stroke_risk[medium] : 0.0\n", + "\n", + "RULE #95:\n", + " IF (((age[old] AND hypertension[high]) AND glucose[low]) AND bmi[high]) AND heart_disease[high] THEN stroke_risk[medium]\n", + "\tAND aggregation function : fmin\n", + "\tOR aggregation function : fmax\n", + "\n", + " Aggregation (IF-clause):\n", + " - age[old] : 0.0\n", + " - hypertension[high] : 1.0\n", + " - glucose[low] : 0.0\n", + " - bmi[high] : 0.08000000000000002\n", + " - heart_disease[high] : 0.0\n", + " (((age[old] AND hypertension[high]) AND glucose[low]) AND bmi[high]) AND heart_disease[high] = 0.0\n", + " Activation (THEN-clause):\n", + " stroke_risk[medium] : 0.0\n", + "\n", + "RULE #96:\n", + " IF (((age[old] AND hypertension[high]) AND glucose[normal]) AND bmi[low]) AND heart_disease[low] THEN stroke_risk[medium]\n", + "\tAND aggregation function : fmin\n", + "\tOR aggregation function : fmax\n", + "\n", + " Aggregation (IF-clause):\n", + " - age[old] : 0.0\n", + " - hypertension[high] : 1.0\n", + " - glucose[normal] : 0.0\n", + " - bmi[low] : 0.0\n", + " - heart_disease[low] : 1.0\n", + " (((age[old] AND hypertension[high]) AND glucose[normal]) AND bmi[low]) AND heart_disease[low] = 0.0\n", + " Activation (THEN-clause):\n", + " stroke_risk[medium] : 0.0\n", + "\n", + "RULE #97:\n", + " IF (((age[old] AND hypertension[high]) AND glucose[normal]) AND bmi[low]) AND heart_disease[high] THEN stroke_risk[medium]\n", + "\tAND aggregation function : fmin\n", + "\tOR aggregation function : fmax\n", + "\n", + " Aggregation (IF-clause):\n", + " - age[old] : 0.0\n", + " - hypertension[high] : 1.0\n", + " - glucose[normal] : 0.0\n", + " - bmi[low] : 0.0\n", + " - heart_disease[high] : 0.0\n", + " (((age[old] AND hypertension[high]) AND glucose[normal]) AND bmi[low]) AND heart_disease[high] = 0.0\n", + " Activation (THEN-clause):\n", + " stroke_risk[medium] : 0.0\n", + "\n", + "RULE #98:\n", + " IF (((age[old] AND hypertension[high]) AND glucose[normal]) AND bmi[normal]) AND heart_disease[low] THEN stroke_risk[low]\n", + "\tAND aggregation function : fmin\n", + "\tOR aggregation function : fmax\n", + "\n", + " Aggregation (IF-clause):\n", + " - age[old] : 0.0\n", + " - hypertension[high] : 1.0\n", + " - glucose[normal] : 0.0\n", + " - bmi[normal] : 0.0\n", + " - heart_disease[low] : 1.0\n", + " (((age[old] AND hypertension[high]) AND glucose[normal]) AND bmi[normal]) AND heart_disease[low] = 0.0\n", + " Activation (THEN-clause):\n", + " stroke_risk[low] : 0.0\n", + "\n", + "RULE #99:\n", + " IF (((age[old] AND hypertension[high]) AND glucose[normal]) AND bmi[normal]) AND heart_disease[high] THEN stroke_risk[medium]\n", + "\tAND aggregation function : fmin\n", + "\tOR aggregation function : fmax\n", + "\n", + " Aggregation (IF-clause):\n", + " - age[old] : 0.0\n", + " - hypertension[high] : 1.0\n", + " - glucose[normal] : 0.0\n", + " - bmi[normal] : 0.0\n", + " - heart_disease[high] : 0.0\n", + " (((age[old] AND hypertension[high]) AND glucose[normal]) AND bmi[normal]) AND heart_disease[high] = 0.0\n", + " Activation (THEN-clause):\n", + " stroke_risk[medium] : 0.0\n", + "\n", + "RULE #100:\n", + " IF (((age[old] AND hypertension[high]) AND glucose[normal]) AND bmi[high]) AND heart_disease[low] THEN stroke_risk[medium]\n", + "\tAND aggregation function : fmin\n", + "\tOR aggregation function : fmax\n", + "\n", + " Aggregation (IF-clause):\n", + " - age[old] : 0.0\n", + " - hypertension[high] : 1.0\n", + " - glucose[normal] : 0.0\n", + " - bmi[high] : 0.08000000000000002\n", + " - heart_disease[low] : 1.0\n", + " (((age[old] AND hypertension[high]) AND glucose[normal]) AND bmi[high]) AND heart_disease[low] = 0.0\n", + " Activation (THEN-clause):\n", + " stroke_risk[medium] : 0.0\n", + "\n", + "RULE #101:\n", + " IF (((age[old] AND hypertension[high]) AND glucose[normal]) AND bmi[high]) AND heart_disease[high] THEN stroke_risk[medium]\n", + "\tAND aggregation function : fmin\n", + "\tOR aggregation function : fmax\n", + "\n", + " Aggregation (IF-clause):\n", + " - age[old] : 0.0\n", + " - hypertension[high] : 1.0\n", + " - glucose[normal] : 0.0\n", + " - bmi[high] : 0.08000000000000002\n", + " - heart_disease[high] : 0.0\n", + " (((age[old] AND hypertension[high]) AND glucose[normal]) AND bmi[high]) AND heart_disease[high] = 0.0\n", + " Activation (THEN-clause):\n", + " stroke_risk[medium] : 0.0\n", + "\n", + "RULE #102:\n", + " IF (((age[old] AND hypertension[high]) AND glucose[high]) AND bmi[low]) AND heart_disease[low] THEN stroke_risk[medium]\n", + "\tAND aggregation function : fmin\n", + "\tOR aggregation function : fmax\n", + "\n", + " Aggregation (IF-clause):\n", + " - age[old] : 0.0\n", + " - hypertension[high] : 1.0\n", + " - glucose[high] : 0.6799999999999999\n", + " - bmi[low] : 0.0\n", + " - heart_disease[low] : 1.0\n", + " (((age[old] AND hypertension[high]) AND glucose[high]) AND bmi[low]) AND heart_disease[low] = 0.0\n", + " Activation (THEN-clause):\n", + " stroke_risk[medium] : 0.0\n", + "\n", + "RULE #103:\n", + " IF (((age[old] AND hypertension[high]) AND glucose[high]) AND bmi[low]) AND heart_disease[high] THEN stroke_risk[medium]\n", + "\tAND aggregation function : fmin\n", + "\tOR aggregation function : fmax\n", + "\n", + " Aggregation (IF-clause):\n", + " - age[old] : 0.0\n", + " - hypertension[high] : 1.0\n", + " - glucose[high] : 0.6799999999999999\n", + " - bmi[low] : 0.0\n", + " - heart_disease[high] : 0.0\n", + " (((age[old] AND hypertension[high]) AND glucose[high]) AND bmi[low]) AND heart_disease[high] = 0.0\n", + " Activation (THEN-clause):\n", + " stroke_risk[medium] : 0.0\n", + "\n", + "RULE #104:\n", + " IF (((age[old] AND hypertension[high]) AND glucose[high]) AND bmi[normal]) AND heart_disease[low] THEN stroke_risk[high]\n", + "\tAND aggregation function : fmin\n", + "\tOR aggregation function : fmax\n", + "\n", + " Aggregation (IF-clause):\n", + " - age[old] : 0.0\n", + " - hypertension[high] : 1.0\n", + " - glucose[high] : 0.6799999999999999\n", + " - bmi[normal] : 0.0\n", + " - heart_disease[low] : 1.0\n", + " (((age[old] AND hypertension[high]) AND glucose[high]) AND bmi[normal]) AND heart_disease[low] = 0.0\n", + " Activation (THEN-clause):\n", + " stroke_risk[high] : 0.0\n", + "\n", + "RULE #105:\n", + " IF (((age[old] AND hypertension[high]) AND glucose[high]) AND bmi[normal]) AND heart_disease[high] THEN stroke_risk[high]\n", + "\tAND aggregation function : fmin\n", + "\tOR aggregation function : fmax\n", + "\n", + " Aggregation (IF-clause):\n", + " - age[old] : 0.0\n", + " - hypertension[high] : 1.0\n", + " - glucose[high] : 0.6799999999999999\n", + " - bmi[normal] : 0.0\n", + " - heart_disease[high] : 0.0\n", + " (((age[old] AND hypertension[high]) AND glucose[high]) AND bmi[normal]) AND heart_disease[high] = 0.0\n", + " Activation (THEN-clause):\n", + " stroke_risk[high] : 0.0\n", + "\n", + "RULE #106:\n", + " IF (((age[old] AND hypertension[high]) AND glucose[high]) AND bmi[high]) AND heart_disease[low] THEN stroke_risk[high]\n", + "\tAND aggregation function : fmin\n", + "\tOR aggregation function : fmax\n", + "\n", + " Aggregation (IF-clause):\n", + " - age[old] : 0.0\n", + " - hypertension[high] : 1.0\n", + " - glucose[high] : 0.6799999999999999\n", + " - bmi[high] : 0.08000000000000002\n", + " - heart_disease[low] : 1.0\n", + " (((age[old] AND hypertension[high]) AND glucose[high]) AND bmi[high]) AND heart_disease[low] = 0.0\n", + " Activation (THEN-clause):\n", + " stroke_risk[high] : 0.0\n", + "\n", + "RULE #107:\n", + " IF (((age[old] AND hypertension[high]) AND glucose[high]) AND bmi[high]) AND heart_disease[high] THEN stroke_risk[high]\n", + "\tAND aggregation function : fmin\n", + "\tOR aggregation function : fmax\n", + "\n", + " Aggregation (IF-clause):\n", + " - age[old] : 0.0\n", + " - hypertension[high] : 1.0\n", + " - glucose[high] : 0.6799999999999999\n", + " - bmi[high] : 0.08000000000000002\n", + " - heart_disease[high] : 0.0\n", + " (((age[old] AND hypertension[high]) AND glucose[high]) AND bmi[high]) AND heart_disease[high] = 0.0\n", + " Activation (THEN-clause):\n", + " stroke_risk[high] : 0.0\n", + "\n", + "RULE #108:\n", + " IF (((age[aged] AND hypertension[low]) AND glucose[low]) AND bmi[low]) AND heart_disease[low] THEN stroke_risk[medium]\n", + "\tAND aggregation function : fmin\n", + "\tOR aggregation function : fmax\n", + "\n", + " Aggregation (IF-clause):\n", + " - age[aged] : 0.18\n", + " - hypertension[low] : 0.0\n", + " - glucose[low] : 0.0\n", + " - bmi[low] : 0.0\n", + " - heart_disease[low] : 1.0\n", + " (((age[aged] AND hypertension[low]) AND glucose[low]) AND bmi[low]) AND heart_disease[low] = 0.0\n", + " Activation (THEN-clause):\n", + " stroke_risk[medium] : 0.0\n", + "\n", + "RULE #109:\n", + " IF (((age[aged] AND hypertension[low]) AND glucose[low]) AND bmi[low]) AND heart_disease[high] THEN stroke_risk[medium]\n", + "\tAND aggregation function : fmin\n", + "\tOR aggregation function : fmax\n", + "\n", + " Aggregation (IF-clause):\n", + " - age[aged] : 0.18\n", + " - hypertension[low] : 0.0\n", + " - glucose[low] : 0.0\n", + " - bmi[low] : 0.0\n", + " - heart_disease[high] : 0.0\n", + " (((age[aged] AND hypertension[low]) AND glucose[low]) AND bmi[low]) AND heart_disease[high] = 0.0\n", + " Activation (THEN-clause):\n", + " stroke_risk[medium] : 0.0\n", + "\n", + "RULE #110:\n", + " IF (((age[aged] AND hypertension[low]) AND glucose[low]) AND bmi[normal]) AND heart_disease[low] THEN stroke_risk[medium]\n", + "\tAND aggregation function : fmin\n", + "\tOR aggregation function : fmax\n", + "\n", + " Aggregation (IF-clause):\n", + " - age[aged] : 0.18\n", + " - hypertension[low] : 0.0\n", + " - glucose[low] : 0.0\n", + " - bmi[normal] : 0.0\n", + " - heart_disease[low] : 1.0\n", + " (((age[aged] AND hypertension[low]) AND glucose[low]) AND bmi[normal]) AND heart_disease[low] = 0.0\n", + " Activation (THEN-clause):\n", + " stroke_risk[medium] : 0.0\n", + "\n", + "RULE #111:\n", + " IF (((age[aged] AND hypertension[low]) AND glucose[low]) AND bmi[normal]) AND heart_disease[high] THEN stroke_risk[medium]\n", + "\tAND aggregation function : fmin\n", + "\tOR aggregation function : fmax\n", + "\n", + " Aggregation (IF-clause):\n", + " - age[aged] : 0.18\n", + " - hypertension[low] : 0.0\n", + " - glucose[low] : 0.0\n", + " - bmi[normal] : 0.0\n", + " - heart_disease[high] : 0.0\n", + " (((age[aged] AND hypertension[low]) AND glucose[low]) AND bmi[normal]) AND heart_disease[high] = 0.0\n", + " Activation (THEN-clause):\n", + " stroke_risk[medium] : 0.0\n", + "\n", + "RULE #112:\n", + " IF (((age[aged] AND hypertension[low]) AND glucose[low]) AND bmi[high]) AND heart_disease[low] THEN stroke_risk[medium]\n", + "\tAND aggregation function : fmin\n", + "\tOR aggregation function : fmax\n", + "\n", + " Aggregation (IF-clause):\n", + " - age[aged] : 0.18\n", + " - hypertension[low] : 0.0\n", + " - glucose[low] : 0.0\n", + " - bmi[high] : 0.08000000000000002\n", + " - heart_disease[low] : 1.0\n", + " (((age[aged] AND hypertension[low]) AND glucose[low]) AND bmi[high]) AND heart_disease[low] = 0.0\n", + " Activation (THEN-clause):\n", + " stroke_risk[medium] : 0.0\n", + "\n", + "RULE #113:\n", + " IF (((age[aged] AND hypertension[low]) AND glucose[low]) AND bmi[high]) AND heart_disease[high] THEN stroke_risk[medium]\n", + "\tAND aggregation function : fmin\n", + "\tOR aggregation function : fmax\n", + "\n", + " Aggregation (IF-clause):\n", + " - age[aged] : 0.18\n", + " - hypertension[low] : 0.0\n", + " - glucose[low] : 0.0\n", + " - bmi[high] : 0.08000000000000002\n", + " - heart_disease[high] : 0.0\n", + " (((age[aged] AND hypertension[low]) AND glucose[low]) AND bmi[high]) AND heart_disease[high] = 0.0\n", + " Activation (THEN-clause):\n", + " stroke_risk[medium] : 0.0\n", + "\n", + "RULE #114:\n", + " IF (((age[aged] AND hypertension[low]) AND glucose[normal]) AND bmi[low]) AND heart_disease[low] THEN stroke_risk[medium]\n", + "\tAND aggregation function : fmin\n", + "\tOR aggregation function : fmax\n", + "\n", + " Aggregation (IF-clause):\n", + " - age[aged] : 0.18\n", + " - hypertension[low] : 0.0\n", + " - glucose[normal] : 0.0\n", + " - bmi[low] : 0.0\n", + " - heart_disease[low] : 1.0\n", + " (((age[aged] AND hypertension[low]) AND glucose[normal]) AND bmi[low]) AND heart_disease[low] = 0.0\n", + " Activation (THEN-clause):\n", + " stroke_risk[medium] : 0.0\n", + "\n", + "RULE #115:\n", + " IF (((age[aged] AND hypertension[low]) AND glucose[normal]) AND bmi[low]) AND heart_disease[high] THEN stroke_risk[medium]\n", + "\tAND aggregation function : fmin\n", + "\tOR aggregation function : fmax\n", + "\n", + " Aggregation (IF-clause):\n", + " - age[aged] : 0.18\n", + " - hypertension[low] : 0.0\n", + " - glucose[normal] : 0.0\n", + " - bmi[low] : 0.0\n", + " - heart_disease[high] : 0.0\n", + " (((age[aged] AND hypertension[low]) AND glucose[normal]) AND bmi[low]) AND heart_disease[high] = 0.0\n", + " Activation (THEN-clause):\n", + " stroke_risk[medium] : 0.0\n", + "\n", + "RULE #116:\n", + " IF (((age[aged] AND hypertension[low]) AND glucose[normal]) AND bmi[normal]) AND heart_disease[low] THEN stroke_risk[low]\n", + "\tAND aggregation function : fmin\n", + "\tOR aggregation function : fmax\n", + "\n", + " Aggregation (IF-clause):\n", + " - age[aged] : 0.18\n", + " - hypertension[low] : 0.0\n", + " - glucose[normal] : 0.0\n", + " - bmi[normal] : 0.0\n", + " - heart_disease[low] : 1.0\n", + " (((age[aged] AND hypertension[low]) AND glucose[normal]) AND bmi[normal]) AND heart_disease[low] = 0.0\n", + " Activation (THEN-clause):\n", + " stroke_risk[low] : 0.0\n", + "\n", + "RULE #117:\n", + " IF (((age[aged] AND hypertension[low]) AND glucose[normal]) AND bmi[normal]) AND heart_disease[high] THEN stroke_risk[medium]\n", + "\tAND aggregation function : fmin\n", + "\tOR aggregation function : fmax\n", + "\n", + " Aggregation (IF-clause):\n", + " - age[aged] : 0.18\n", + " - hypertension[low] : 0.0\n", + " - glucose[normal] : 0.0\n", + " - bmi[normal] : 0.0\n", + " - heart_disease[high] : 0.0\n", + " (((age[aged] AND hypertension[low]) AND glucose[normal]) AND bmi[normal]) AND heart_disease[high] = 0.0\n", + " Activation (THEN-clause):\n", + " stroke_risk[medium] : 0.0\n", + "\n", + "RULE #118:\n", + " IF (((age[aged] AND hypertension[low]) AND glucose[normal]) AND bmi[high]) AND heart_disease[low] THEN stroke_risk[medium]\n", + "\tAND aggregation function : fmin\n", + "\tOR aggregation function : fmax\n", + "\n", + " Aggregation (IF-clause):\n", + " - age[aged] : 0.18\n", + " - hypertension[low] : 0.0\n", + " - glucose[normal] : 0.0\n", + " - bmi[high] : 0.08000000000000002\n", + " - heart_disease[low] : 1.0\n", + " (((age[aged] AND hypertension[low]) AND glucose[normal]) AND bmi[high]) AND heart_disease[low] = 0.0\n", + " Activation (THEN-clause):\n", + " stroke_risk[medium] : 0.0\n", + "\n", + "RULE #119:\n", + " IF (((age[aged] AND hypertension[low]) AND glucose[normal]) AND bmi[high]) AND heart_disease[high] THEN stroke_risk[medium]\n", + "\tAND aggregation function : fmin\n", + "\tOR aggregation function : fmax\n", + "\n", + " Aggregation (IF-clause):\n", + " - age[aged] : 0.18\n", + " - hypertension[low] : 0.0\n", + " - glucose[normal] : 0.0\n", + " - bmi[high] : 0.08000000000000002\n", + " - heart_disease[high] : 0.0\n", + " (((age[aged] AND hypertension[low]) AND glucose[normal]) AND bmi[high]) AND heart_disease[high] = 0.0\n", + " Activation (THEN-clause):\n", + " stroke_risk[medium] : 0.0\n", + "\n", + "RULE #120:\n", + " IF (((age[aged] AND hypertension[low]) AND glucose[high]) AND bmi[low]) AND heart_disease[low] THEN stroke_risk[medium]\n", + "\tAND aggregation function : fmin\n", + "\tOR aggregation function : fmax\n", + "\n", + " Aggregation (IF-clause):\n", + " - age[aged] : 0.18\n", + " - hypertension[low] : 0.0\n", + " - glucose[high] : 0.6799999999999999\n", + " - bmi[low] : 0.0\n", + " - heart_disease[low] : 1.0\n", + " (((age[aged] AND hypertension[low]) AND glucose[high]) AND bmi[low]) AND heart_disease[low] = 0.0\n", + " Activation (THEN-clause):\n", + " stroke_risk[medium] : 0.0\n", + "\n", + "RULE #121:\n", + " IF (((age[aged] AND hypertension[low]) AND glucose[high]) AND bmi[low]) AND heart_disease[high] THEN stroke_risk[medium]\n", + "\tAND aggregation function : fmin\n", + "\tOR aggregation function : fmax\n", + "\n", + " Aggregation (IF-clause):\n", + " - age[aged] : 0.18\n", + " - hypertension[low] : 0.0\n", + " - glucose[high] : 0.6799999999999999\n", + " - bmi[low] : 0.0\n", + " - heart_disease[high] : 0.0\n", + " (((age[aged] AND hypertension[low]) AND glucose[high]) AND bmi[low]) AND heart_disease[high] = 0.0\n", + " Activation (THEN-clause):\n", + " stroke_risk[medium] : 0.0\n", + "\n", + "RULE #122:\n", + " IF (((age[aged] AND hypertension[low]) AND glucose[high]) AND bmi[normal]) AND heart_disease[low] THEN stroke_risk[medium]\n", + "\tAND aggregation function : fmin\n", + "\tOR aggregation function : fmax\n", + "\n", + " Aggregation (IF-clause):\n", + " - age[aged] : 0.18\n", + " - hypertension[low] : 0.0\n", + " - glucose[high] : 0.6799999999999999\n", + " - bmi[normal] : 0.0\n", + " - heart_disease[low] : 1.0\n", + " (((age[aged] AND hypertension[low]) AND glucose[high]) AND bmi[normal]) AND heart_disease[low] = 0.0\n", + " Activation (THEN-clause):\n", + " stroke_risk[medium] : 0.0\n", + "\n", + "RULE #123:\n", + " IF (((age[aged] AND hypertension[low]) AND glucose[high]) AND bmi[normal]) AND heart_disease[high] THEN stroke_risk[medium]\n", + "\tAND aggregation function : fmin\n", + "\tOR aggregation function : fmax\n", + "\n", + " Aggregation (IF-clause):\n", + " - age[aged] : 0.18\n", + " - hypertension[low] : 0.0\n", + " - glucose[high] : 0.6799999999999999\n", + " - bmi[normal] : 0.0\n", + " - heart_disease[high] : 0.0\n", + " (((age[aged] AND hypertension[low]) AND glucose[high]) AND bmi[normal]) AND heart_disease[high] = 0.0\n", + " Activation (THEN-clause):\n", + " stroke_risk[medium] : 0.0\n", + "\n", + "RULE #124:\n", + " IF (((age[aged] AND hypertension[low]) AND glucose[high]) AND bmi[high]) AND heart_disease[low] THEN stroke_risk[medium]\n", + "\tAND aggregation function : fmin\n", + "\tOR aggregation function : fmax\n", + "\n", + " Aggregation (IF-clause):\n", + " - age[aged] : 0.18\n", + " - hypertension[low] : 0.0\n", + " - glucose[high] : 0.6799999999999999\n", + " - bmi[high] : 0.08000000000000002\n", + " - heart_disease[low] : 1.0\n", + " (((age[aged] AND hypertension[low]) AND glucose[high]) AND bmi[high]) AND heart_disease[low] = 0.0\n", + " Activation (THEN-clause):\n", + " stroke_risk[medium] : 0.0\n", + "\n", + "RULE #125:\n", + " IF (((age[aged] AND hypertension[low]) AND glucose[high]) AND bmi[high]) AND heart_disease[high] THEN stroke_risk[medium]\n", + "\tAND aggregation function : fmin\n", + "\tOR aggregation function : fmax\n", + "\n", + " Aggregation (IF-clause):\n", + " - age[aged] : 0.18\n", + " - hypertension[low] : 0.0\n", + " - glucose[high] : 0.6799999999999999\n", + " - bmi[high] : 0.08000000000000002\n", + " - heart_disease[high] : 0.0\n", + " (((age[aged] AND hypertension[low]) AND glucose[high]) AND bmi[high]) AND heart_disease[high] = 0.0\n", + " Activation (THEN-clause):\n", + " stroke_risk[medium] : 0.0\n", + "\n", + "RULE #126:\n", + " IF (((age[aged] AND hypertension[high]) AND glucose[low]) AND bmi[low]) AND heart_disease[low] THEN stroke_risk[medium]\n", + "\tAND aggregation function : fmin\n", + "\tOR aggregation function : fmax\n", + "\n", + " Aggregation (IF-clause):\n", + " - age[aged] : 0.18\n", + " - hypertension[high] : 1.0\n", + " - glucose[low] : 0.0\n", + " - bmi[low] : 0.0\n", + " - heart_disease[low] : 1.0\n", + " (((age[aged] AND hypertension[high]) AND glucose[low]) AND bmi[low]) AND heart_disease[low] = 0.0\n", + " Activation (THEN-clause):\n", + " stroke_risk[medium] : 0.0\n", + "\n", + "RULE #127:\n", + " IF (((age[aged] AND hypertension[high]) AND glucose[low]) AND bmi[low]) AND heart_disease[high] THEN stroke_risk[medium]\n", + "\tAND aggregation function : fmin\n", + "\tOR aggregation function : fmax\n", + "\n", + " Aggregation (IF-clause):\n", + " - age[aged] : 0.18\n", + " - hypertension[high] : 1.0\n", + " - glucose[low] : 0.0\n", + " - bmi[low] : 0.0\n", + " - heart_disease[high] : 0.0\n", + " (((age[aged] AND hypertension[high]) AND glucose[low]) AND bmi[low]) AND heart_disease[high] = 0.0\n", + " Activation (THEN-clause):\n", + " stroke_risk[medium] : 0.0\n", + "\n", + "RULE #128:\n", + " IF (((age[aged] AND hypertension[high]) AND glucose[low]) AND bmi[normal]) AND heart_disease[low] THEN stroke_risk[medium]\n", + "\tAND aggregation function : fmin\n", + "\tOR aggregation function : fmax\n", + "\n", + " Aggregation (IF-clause):\n", + " - age[aged] : 0.18\n", + " - hypertension[high] : 1.0\n", + " - glucose[low] : 0.0\n", + " - bmi[normal] : 0.0\n", + " - heart_disease[low] : 1.0\n", + " (((age[aged] AND hypertension[high]) AND glucose[low]) AND bmi[normal]) AND heart_disease[low] = 0.0\n", + " Activation (THEN-clause):\n", + " stroke_risk[medium] : 0.0\n", + "\n", + "RULE #129:\n", + " IF (((age[aged] AND hypertension[high]) AND glucose[low]) AND bmi[normal]) AND heart_disease[high] THEN stroke_risk[medium]\n", + "\tAND aggregation function : fmin\n", + "\tOR aggregation function : fmax\n", + "\n", + " Aggregation (IF-clause):\n", + " - age[aged] : 0.18\n", + " - hypertension[high] : 1.0\n", + " - glucose[low] : 0.0\n", + " - bmi[normal] : 0.0\n", + " - heart_disease[high] : 0.0\n", + " (((age[aged] AND hypertension[high]) AND glucose[low]) AND bmi[normal]) AND heart_disease[high] = 0.0\n", + " Activation (THEN-clause):\n", + " stroke_risk[medium] : 0.0\n", + "\n", + "RULE #130:\n", + " IF (((age[aged] AND hypertension[high]) AND glucose[low]) AND bmi[high]) AND heart_disease[low] THEN stroke_risk[medium]\n", + "\tAND aggregation function : fmin\n", + "\tOR aggregation function : fmax\n", + "\n", + " Aggregation (IF-clause):\n", + " - age[aged] : 0.18\n", + " - hypertension[high] : 1.0\n", + " - glucose[low] : 0.0\n", + " - bmi[high] : 0.08000000000000002\n", + " - heart_disease[low] : 1.0\n", + " (((age[aged] AND hypertension[high]) AND glucose[low]) AND bmi[high]) AND heart_disease[low] = 0.0\n", + " Activation (THEN-clause):\n", + " stroke_risk[medium] : 0.0\n", + "\n", + "RULE #131:\n", + " IF (((age[aged] AND hypertension[high]) AND glucose[low]) AND bmi[high]) AND heart_disease[high] THEN stroke_risk[medium]\n", + "\tAND aggregation function : fmin\n", + "\tOR aggregation function : fmax\n", + "\n", + " Aggregation (IF-clause):\n", + " - age[aged] : 0.18\n", + " - hypertension[high] : 1.0\n", + " - glucose[low] : 0.0\n", + " - bmi[high] : 0.08000000000000002\n", + " - heart_disease[high] : 0.0\n", + " (((age[aged] AND hypertension[high]) AND glucose[low]) AND bmi[high]) AND heart_disease[high] = 0.0\n", + " Activation (THEN-clause):\n", + " stroke_risk[medium] : 0.0\n", + "\n", + "RULE #132:\n", + " IF (((age[aged] AND hypertension[high]) AND glucose[normal]) AND bmi[low]) AND heart_disease[low] THEN stroke_risk[medium]\n", + "\tAND aggregation function : fmin\n", + "\tOR aggregation function : fmax\n", + "\n", + " Aggregation (IF-clause):\n", + " - age[aged] : 0.18\n", + " - hypertension[high] : 1.0\n", + " - glucose[normal] : 0.0\n", + " - bmi[low] : 0.0\n", + " - heart_disease[low] : 1.0\n", + " (((age[aged] AND hypertension[high]) AND glucose[normal]) AND bmi[low]) AND heart_disease[low] = 0.0\n", + " Activation (THEN-clause):\n", + " stroke_risk[medium] : 0.0\n", + "\n", + "RULE #133:\n", + " IF (((age[aged] AND hypertension[high]) AND glucose[normal]) AND bmi[low]) AND heart_disease[high] THEN stroke_risk[medium]\n", + "\tAND aggregation function : fmin\n", + "\tOR aggregation function : fmax\n", + "\n", + " Aggregation (IF-clause):\n", + " - age[aged] : 0.18\n", + " - hypertension[high] : 1.0\n", + " - glucose[normal] : 0.0\n", + " - bmi[low] : 0.0\n", + " - heart_disease[high] : 0.0\n", + " (((age[aged] AND hypertension[high]) AND glucose[normal]) AND bmi[low]) AND heart_disease[high] = 0.0\n", + " Activation (THEN-clause):\n", + " stroke_risk[medium] : 0.0\n", + "\n", + "RULE #134:\n", + " IF (((age[aged] AND hypertension[high]) AND glucose[normal]) AND bmi[normal]) AND heart_disease[low] THEN stroke_risk[low]\n", + "\tAND aggregation function : fmin\n", + "\tOR aggregation function : fmax\n", + "\n", + " Aggregation (IF-clause):\n", + " - age[aged] : 0.18\n", + " - hypertension[high] : 1.0\n", + " - glucose[normal] : 0.0\n", + " - bmi[normal] : 0.0\n", + " - heart_disease[low] : 1.0\n", + " (((age[aged] AND hypertension[high]) AND glucose[normal]) AND bmi[normal]) AND heart_disease[low] = 0.0\n", + " Activation (THEN-clause):\n", + " stroke_risk[low] : 0.0\n", + "\n", + "RULE #135:\n", + " IF (((age[aged] AND hypertension[high]) AND glucose[normal]) AND bmi[normal]) AND heart_disease[high] THEN stroke_risk[medium]\n", + "\tAND aggregation function : fmin\n", + "\tOR aggregation function : fmax\n", + "\n", + " Aggregation (IF-clause):\n", + " - age[aged] : 0.18\n", + " - hypertension[high] : 1.0\n", + " - glucose[normal] : 0.0\n", + " - bmi[normal] : 0.0\n", + " - heart_disease[high] : 0.0\n", + " (((age[aged] AND hypertension[high]) AND glucose[normal]) AND bmi[normal]) AND heart_disease[high] = 0.0\n", + " Activation (THEN-clause):\n", + " stroke_risk[medium] : 0.0\n", + "\n", + "RULE #136:\n", + " IF (((age[aged] AND hypertension[high]) AND glucose[normal]) AND bmi[high]) AND heart_disease[low] THEN stroke_risk[medium]\n", + "\tAND aggregation function : fmin\n", + "\tOR aggregation function : fmax\n", + "\n", + " Aggregation (IF-clause):\n", + " - age[aged] : 0.18\n", + " - hypertension[high] : 1.0\n", + " - glucose[normal] : 0.0\n", + " - bmi[high] : 0.08000000000000002\n", + " - heart_disease[low] : 1.0\n", + " (((age[aged] AND hypertension[high]) AND glucose[normal]) AND bmi[high]) AND heart_disease[low] = 0.0\n", + " Activation (THEN-clause):\n", + " stroke_risk[medium] : 0.0\n", + "\n", + "RULE #137:\n", + " IF (((age[aged] AND hypertension[high]) AND glucose[normal]) AND bmi[high]) AND heart_disease[high] THEN stroke_risk[medium]\n", + "\tAND aggregation function : fmin\n", + "\tOR aggregation function : fmax\n", + "\n", + " Aggregation (IF-clause):\n", + " - age[aged] : 0.18\n", + " - hypertension[high] : 1.0\n", + " - glucose[normal] : 0.0\n", + " - bmi[high] : 0.08000000000000002\n", + " - heart_disease[high] : 0.0\n", + " (((age[aged] AND hypertension[high]) AND glucose[normal]) AND bmi[high]) AND heart_disease[high] = 0.0\n", + " Activation (THEN-clause):\n", + " stroke_risk[medium] : 0.0\n", + "\n", + "RULE #138:\n", + " IF (((age[aged] AND hypertension[high]) AND glucose[high]) AND bmi[low]) AND heart_disease[low] THEN stroke_risk[medium]\n", + "\tAND aggregation function : fmin\n", + "\tOR aggregation function : fmax\n", + "\n", + " Aggregation (IF-clause):\n", + " - age[aged] : 0.18\n", + " - hypertension[high] : 1.0\n", + " - glucose[high] : 0.6799999999999999\n", + " - bmi[low] : 0.0\n", + " - heart_disease[low] : 1.0\n", + " (((age[aged] AND hypertension[high]) AND glucose[high]) AND bmi[low]) AND heart_disease[low] = 0.0\n", + " Activation (THEN-clause):\n", + " stroke_risk[medium] : 0.0\n", + "\n", + "RULE #139:\n", + " IF (((age[aged] AND hypertension[high]) AND glucose[high]) AND bmi[low]) AND heart_disease[high] THEN stroke_risk[medium]\n", + "\tAND aggregation function : fmin\n", + "\tOR aggregation function : fmax\n", + "\n", + " Aggregation (IF-clause):\n", + " - age[aged] : 0.18\n", + " - hypertension[high] : 1.0\n", + " - glucose[high] : 0.6799999999999999\n", + " - bmi[low] : 0.0\n", + " - heart_disease[high] : 0.0\n", + " (((age[aged] AND hypertension[high]) AND glucose[high]) AND bmi[low]) AND heart_disease[high] = 0.0\n", + " Activation (THEN-clause):\n", + " stroke_risk[medium] : 0.0\n", + "\n", + "RULE #140:\n", + " IF (((age[aged] AND hypertension[high]) AND glucose[high]) AND bmi[normal]) AND heart_disease[low] THEN stroke_risk[medium]\n", + "\tAND aggregation function : fmin\n", + "\tOR aggregation function : fmax\n", + "\n", + " Aggregation (IF-clause):\n", + " - age[aged] : 0.18\n", + " - hypertension[high] : 1.0\n", + " - glucose[high] : 0.6799999999999999\n", + " - bmi[normal] : 0.0\n", + " - heart_disease[low] : 1.0\n", + " (((age[aged] AND hypertension[high]) AND glucose[high]) AND bmi[normal]) AND heart_disease[low] = 0.0\n", + " Activation (THEN-clause):\n", + " stroke_risk[medium] : 0.0\n", + "\n", + "RULE #141:\n", + " IF (((age[aged] AND hypertension[high]) AND glucose[high]) AND bmi[normal]) AND heart_disease[high] THEN stroke_risk[medium]\n", + "\tAND aggregation function : fmin\n", + "\tOR aggregation function : fmax\n", + "\n", + " Aggregation (IF-clause):\n", + " - age[aged] : 0.18\n", + " - hypertension[high] : 1.0\n", + " - glucose[high] : 0.6799999999999999\n", + " - bmi[normal] : 0.0\n", + " - heart_disease[high] : 0.0\n", + " (((age[aged] AND hypertension[high]) AND glucose[high]) AND bmi[normal]) AND heart_disease[high] = 0.0\n", + " Activation (THEN-clause):\n", + " stroke_risk[medium] : 0.0\n", + "\n", + "RULE #142:\n", + " IF (((age[aged] AND hypertension[high]) AND glucose[high]) AND bmi[high]) AND heart_disease[low] THEN stroke_risk[medium]\n", + "\tAND aggregation function : fmin\n", + "\tOR aggregation function : fmax\n", + "\n", + " Aggregation (IF-clause):\n", + " - age[aged] : 0.18\n", + " - hypertension[high] : 1.0\n", + " - glucose[high] : 0.6799999999999999\n", + " - bmi[high] : 0.08000000000000002\n", + " - heart_disease[low] : 1.0\n", + " (((age[aged] AND hypertension[high]) AND glucose[high]) AND bmi[high]) AND heart_disease[low] = 0.08000000000000002\n", + " Activation (THEN-clause):\n", + " stroke_risk[medium] : 0.08000000000000002\n", + "\n", + "RULE #143:\n", + " IF (((age[aged] AND hypertension[high]) AND glucose[high]) AND bmi[high]) AND heart_disease[high] THEN stroke_risk[high]\n", + "\tAND aggregation function : fmin\n", + "\tOR aggregation function : fmax\n", + "\n", + " Aggregation (IF-clause):\n", + " - age[aged] : 0.18\n", + " - hypertension[high] : 1.0\n", + " - glucose[high] : 0.6799999999999999\n", + " - bmi[high] : 0.08000000000000002\n", + " - heart_disease[high] : 0.0\n", + " (((age[aged] AND hypertension[high]) AND glucose[high]) AND bmi[high]) AND heart_disease[high] = 0.0\n", + " Activation (THEN-clause):\n", + " stroke_risk[high] : 0.0\n", + "\n", + "\n", + "==============================\n", + " Intermediaries and Conquests \n", + "==============================\n", + "Consequent: stroke_risk = 0.49999999999999994\n", + " low:\n", + " Accumulate using accumulation_max : 0.0\n", + " medium:\n", + " Accumulate using accumulation_max : 0.08000000000000002\n", + " high:\n", + " Accumulate using accumulation_max : 0.0\n", + "\n", + "0.49999999999999994\n" + ] + } + ], + "source": [ + "\n", + "from pprint import pprint\n", + "\n", + "def fuzzy_pred(row):\n", + " stroke_simulation.input[\"age\"] = row[\"age\"]\n", + " stroke_simulation.input[\"glucose\"] = row[\"avg_glucose_level\"]\n", + " stroke_simulation.input[\"bmi\"] = row[\"bmi\"]\n", + " stroke_simulation.input[\"hypertension\"] = row[\"hypertension\"]\n", + " stroke_simulation.input[\"heart_disease\"] = row[\"heart_disease\"]\n", + "\n", + "\n", + " stroke_simulation.compute()\n", + " return stroke_simulation.output[\"stroke_risk\"]\n", + "\n", + "stroke_simulation.input[\"age\"] = 72\n", + "stroke_simulation.input[\"glucose\"] = 220\n", + "stroke_simulation.input[\"bmi\"] = 30\n", + "stroke_simulation.input[\"hypertension\"] = 1\n", + "stroke_simulation.input[\"heart_disease\"] = 0\n", + "\n", + "stroke_simulation.compute()\n", + "stroke_simulation.print_state()\n", + "stroke_predict = stroke_simulation.output[\"stroke_risk\"]\n", + "print(stroke_predict)\n", + "\n", + "# result = data.copy()\n", + "# result = result.sample(frac=0.01)\n", + "# result[\"stroke_predicted\"] = result.apply(fuzzy_pred, axis=1)\n", + "# # result[\"stroke_predicted\"] = result['stroke'].apply(lambda x: 1 if x> 0.5 else 0, axis=1)\n", + "\n", + "# print(result.head())" + ] + }, + { + "cell_type": "code", + "execution_count": 147, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "MAE: 0.4596\n", + "MSE: 0.2265\n", + "RMSE: 0.4760\n", + "R² Score: -3.0918\n" + ] + } + ], + "source": [ + "from sklearn.metrics import mean_absolute_error, mean_squared_error, r2_score\n", + "import numpy as np\n", + "\n", + "# Создаем копию данных и прогнозируем значения\n", + "result = data.copy()\n", + "result = result.sample(frac=0.01) # Берем 1% данных для теста\n", + "result[\"stroke_predicted\"] = result.apply(fuzzy_pred, axis=1)\n", + "\n", + "# Истинные и предсказанные значения\n", + "y_true = result[\"stroke\"]\n", + "y_pred = result[\"stroke_predicted\"]\n", + "\n", + "# Вычисляем метрики\n", + "mae = mean_absolute_error(y_true, y_pred)\n", + "mse = mean_squared_error(y_true, y_pred)\n", + "rmse = np.sqrt(mse)\n", + "r2 = r2_score(y_true, y_pred)\n", + "\n", + "# Выводим результаты\n", + "print(f\"MAE: {mae:.4f}\") # ближе к 0 - лучше\n", + "print(f\"MSE: {mse:.4f}\") # ближе к 0 - лучше\n", + "print(f\"RMSE: {rmse:.4f}\") # тоже\n", + "print(f\"R² Score: {r2:.4f}\") # а тут ближе к 1 - лучше" + ] }, { "cell_type": "markdown", "metadata": {}, - "source": [] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [] + "source": [ + "#### ну короче... противоречивые результаты, но в основном они говорят о том, что модель данная - такое себе. в чем я, собственно, не знаю, согласна или нет... по показателям людей здесь и правда мог бы быть инсульт, ведь риск его развития есть, а если вероятность его развития больше 0,2 вроде, то это высокая вероятность уже... короче сложно такие задачи решать с помощью нечетких переменных" + ] } ], "metadata": {