diff --git a/labs/lab3/healthcare_stroke.csv b/labs/lab3/healthcare_stroke.csv
new file mode 100644
index 0000000..763aacc
--- /dev/null
+++ b/labs/lab3/healthcare_stroke.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/labs/lab3/lab3.ipynb b/labs/lab3/lab3.ipynb
index ef067fe..ac84a0a 100644
--- a/labs/lab3/lab3.ipynb
+++ b/labs/lab3/lab3.ipynb
@@ -6,11 +6,1246 @@
    "source": [
     "# Лабораторная работа №3"
    ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "**Шаги выполнения лабораторной работы:**\n",
+    "1. Определить две бизнес-цели для набора данных по Вашему варианту задания.\n",
+    "2. Определить цели технического проекта для каждой выделенной ранее бизнесцели.\n",
+    "3. При необходимости следует использовать методы сбора и подготовки данных,\n",
+    "которые были рассмотрены в лекции № 2.\n",
+    "4. Выполнить разбиение каждого набора данных на обучающую, контрольную и\n",
+    "тестовую выборки для устранения проблемы просачивания данных.\n",
+    "5. Оценить сбалансированность выборок для каждого набора данных. Применить\n",
+    "методы приращения (аугментации) данных при необходимости.\n",
+    "6. Выполнить процесс конструирования признаков для решения каждой из двух\n",
+    "задач. Задача определяется совокупностью бизнес-цели и цели технического\n",
+    "проекта.\n",
+    "7. При конструировании признаков обязательно необходимо выполнить: унитарное\n",
+    "кодирование категориальных признаков (one-hot encoding), дискретизацию\n",
+    "числовых признаков, «ручной» синтез признаков, масштабирование признаков на\n",
+    "основе нормировки и стандартизации.\n",
+    "8. Выполнить также конструирование признаков с применением фреймворка\n",
+    "Featuretools.\n",
+    "9. Оценить качество каждого набора признаков по следующим критериям:\n",
+    "предсказательная способность, скорость вычисления, надежность, корреляция и\n",
+    "цельность."
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "**Датасет 4. Данные по инсультам**"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 214,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Index(['id', 'gender', 'age', 'hypertension', 'heart_disease', 'ever_married',\n",
+      "       'work_type', 'Residence_type', 'avg_glucose_level', 'bmi',\n",
+      "       'smoking_status', 'stroke'],\n",
+      "      dtype='object')\n"
+     ]
+    }
+   ],
+   "source": [
+    "import pandas as pd\n",
+    "df = pd.read_csv(\"healthcare_stroke.csv\")\n",
+    "print(df.columns)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "**1. Бизнес-цели:**\n",
+    "\n",
+    "1) Оптимизация медицинских услуг и профилактики инсульта: анализ данных о здоровье и образе жизни пациентов для повышения эффективности профилактических программ. Используя такие показатели, как уровень глюкозы, ИМТ, наличие гипертонии и болезней сердца, можно выявить группы риска и разработать целевые меры профилактики, включая персонализированные рекомендации и медицинские обследования. Это позволит снизить нагрузку на медицинские учреждения и улучшить качество жизни пациентов.\n",
+    "2) Прогнозирование нагрузки на системы здравоохранения: использование данных для предсказания роста числа инсультов среди различных демографических групп. Модели прогнозирования на основе возрастных, социальных и медицинских данных помогут региональным и национальным органам здравоохранения более эффективно планировать ресурсы, включая персонал, оборудование и финансирование, для удовлетворения потребностей пациентов в будущем."
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "**4. Выполнить разбиение каждого набора данных на обучающую, контрольную и тестовую выборки для устранения проблемы просачивания данных.**"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 215,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Размер обучающей выборки: 2503\n",
+      "Размер контрольной выборки: 1074\n",
+      "Размер тестовой выборки: 1533\n"
+     ]
+    }
+   ],
+   "source": [
+    "from sklearn.model_selection import train_test_split\n",
+    "\n",
+    "df = pd.read_csv(\"healthcare_stroke.csv\")\n",
+    "\n",
+    "train_df, test_df = train_test_split(df, test_size=0.3, random_state=42)\n",
+    "\n",
+    "train_df, val_df = train_test_split(train_df, test_size=0.3, random_state=42)\n",
+    "\n",
+    "print(\"Размер обучающей выборки:\", len(train_df))\n",
+    "print(\"Размер контрольной выборки:\", len(val_df))\n",
+    "print(\"Размер тестовой выборки:\", len(test_df))"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 216,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Распределение классов в gender:\n",
+      "gender\n",
+      "Female    2994\n",
+      "Male      2115\n",
+      "Other        1\n",
+      "Name: count, dtype: int64\n"
+     ]
+    },
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 640x480 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Распределение классов в обучающей выборке:\n",
+      "gender\n",
+      "Female    1478\n",
+      "Male      1025\n",
+      "Name: count, dtype: int64\n"
+     ]
+    },
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 640x480 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Распределение классов в контрольной выборке:\n",
+      "gender\n",
+      "Female    610\n",
+      "Male      464\n",
+      "Name: count, dtype: int64\n"
+     ]
+    },
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 640x480 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Распределение классов в тестовой выборке:\n",
+      "gender\n",
+      "Female    906\n",
+      "Male      626\n",
+      "Other       1\n",
+      "Name: count, dtype: int64\n"
+     ]
+    },
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 640x480 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "import matplotlib.pyplot as plt\n",
+    "import seaborn as sns\n",
+    "\n",
+    "# Проверка распределения классов в целевой переменной\n",
+    "class_distribution = df[\"gender\"].value_counts()\n",
+    "print(\"Распределение классов в gender:\")\n",
+    "print(class_distribution)\n",
+    "\n",
+    "# Визуализация распределения классов\n",
+    "sns.countplot(x=\"gender\", data=df)\n",
+    "plt.title(\"Распределение классов в gender\")\n",
+    "plt.show()\n",
+    "\n",
+    "\n",
+    "# Проверка сбалансированности для каждой выборки\n",
+    "def check_balance(df, title):\n",
+    "    class_distribution = df[\"gender\"].value_counts()\n",
+    "    print(f\"Распределение классов в {title}:\")\n",
+    "    print(class_distribution)\n",
+    "    sns.countplot(x=\"gender\", data=df)\n",
+    "    plt.title(f\"Распределение классов в {title}\")\n",
+    "    plt.show()\n",
+    "\n",
+    "\n",
+    "# Проверка сбалансированности для обучающей, контрольной и тестовой выборок\n",
+    "check_balance(train_df, \"обучающей выборке\")\n",
+    "check_balance(val_df, \"контрольной выборке\")\n",
+    "check_balance(test_df, \"тестовой выборке\")"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "**5. Оценить сбалансированность выборок для каждого набора данных. Применить методы приращения (аугментации) данных при необходимости.**\n",
+    "\n",
+    "Данные не сбалансированы, т.к. во всех выборках количество значений \"Female\" столбца \"gender\" превышает значение \"Male\" в среднем в 1,4 раза. Для балансировки данных будет применен метод upsampling"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 217,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "\n",
+      "Распределение классов в датасете:\n",
+      "Класс Female: 2994 (58.59%)\n",
+      "Класс Male: 2115 (41.39%)\n",
+      "Класс Other: 1 (0.02%)\n",
+      "\n",
+      "Распределение классов в Обучающей выборке до upsampling:\n",
+      "Класс Female: 1478 (59.05%)\n",
+      "Класс Male: 1025 (40.95%)\n",
+      "Размер обучающей выборки после upsampling: 2956\n",
+      "\n",
+      "Распределение классов в Обучающей выборке после upsampling:\n",
+      "Класс Male: 1478 (50.00%)\n",
+      "Класс Female: 1478 (50.00%)\n",
+      "\n",
+      "Распределение классов в Контрольной выборке:\n",
+      "Класс Female: 610 (56.80%)\n",
+      "Класс Male: 464 (43.20%)\n",
+      "\n",
+      "Распределение классов в Тестовой выборке:\n",
+      "Класс Female: 906 (59.10%)\n",
+      "Класс Male: 626 (40.83%)\n",
+      "Класс Other: 1 (0.07%)\n"
+     ]
+    }
+   ],
+   "source": [
+    "from imblearn.over_sampling import RandomOverSampler\n",
+    "\n",
+    "\n",
+    "# Функция для проверки балансировки данных\n",
+    "def check_balance(df, title):\n",
+    "    class_distribution = df[\"gender\"].value_counts()\n",
+    "    print(f\"\\nРаспределение классов в {title}:\")\n",
+    "    for cls, count in class_distribution.items():\n",
+    "        print(f\"Класс {cls}: {count} ({count / len(df) * 100:.2f}%)\")\n",
+    "\n",
+    "\n",
+    "# Проверка балансировки для всего датасета\n",
+    "check_balance(df, \"датасете\")\n",
+    "\n",
+    "# Проверка балансировки для обучающей выборки до upsampling\n",
+    "check_balance(train_df, \"Обучающей выборке до upsampling\")\n",
+    "\n",
+    "# Применение upsampling к обучающей выборке\n",
+    "X_train = train_df.drop(\"gender\", axis=1)  # Отделяем признаки от целевой переменной\n",
+    "y_train = train_df[\"gender\"]  # Целевая переменная\n",
+    "\n",
+    "# Инициализация RandomOverSampler\n",
+    "ros = RandomOverSampler(random_state=42)\n",
+    "\n",
+    "# Применение upsampling\n",
+    "X_train_resampled, y_train_resampled = ros.fit_resample(X_train, y_train)\n",
+    "\n",
+    "# Создание нового DataFrame с балансированными данными\n",
+    "train_df_resampled = pd.concat([X_train_resampled, y_train_resampled], axis=1)\n",
+    "\n",
+    "# Вывод размеров выборок после upsampling\n",
+    "print(\"Размер обучающей выборки после upsampling:\", len(train_df_resampled))\n",
+    "\n",
+    "# Проверка балансировки для обучающей выборки после upsampling\n",
+    "check_balance(train_df_resampled, \"Обучающей выборке после upsampling\")\n",
+    "\n",
+    "# Проверка балансировки для контрольной и тестовой выборок (они не должны измениться)\n",
+    "check_balance(val_df, \"Контрольной выборке\")\n",
+    "check_balance(test_df, \"Тестовой выборке\")"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "**6. Выполнить процесс конструирования признаков для решения каждой из двух задач. Задача определяется совокупностью бизнес-цели и цели технического проекта.**\n",
+    "\n",
+    "Данные были сбалансированы. Теперь можно перейти к конструированию признаков. Поставлены следующие задачи:\n",
+    "\n",
+    "**7. При конструировании признаков обязательно необходимо выполнить: унитарное кодирование категориальных признаков (one-hot encoding), дискретизацию числовых признаков, «ручной» синтез признаков, масштабирование признаков на основе нормировки и стандартизации.**"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 218,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>id</th>\n",
+       "      <th>gender</th>\n",
+       "      <th>age</th>\n",
+       "      <th>hypertension</th>\n",
+       "      <th>heart_disease</th>\n",
+       "      <th>ever_married</th>\n",
+       "      <th>work_type</th>\n",
+       "      <th>Residence_type</th>\n",
+       "      <th>avg_glucose_level</th>\n",
+       "      <th>bmi</th>\n",
+       "      <th>smoking_status</th>\n",
+       "      <th>stroke</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>9046</td>\n",
+       "      <td>Male</td>\n",
+       "      <td>67.0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>1</td>\n",
+       "      <td>Yes</td>\n",
+       "      <td>Private</td>\n",
+       "      <td>Urban</td>\n",
+       "      <td>228.69</td>\n",
+       "      <td>36.6</td>\n",
+       "      <td>formerly smoked</td>\n",
+       "      <td>1</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>51676</td>\n",
+       "      <td>Female</td>\n",
+       "      <td>61.0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>Yes</td>\n",
+       "      <td>Self-employed</td>\n",
+       "      <td>Rural</td>\n",
+       "      <td>202.21</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>never smoked</td>\n",
+       "      <td>1</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>31112</td>\n",
+       "      <td>Male</td>\n",
+       "      <td>80.0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>1</td>\n",
+       "      <td>Yes</td>\n",
+       "      <td>Private</td>\n",
+       "      <td>Rural</td>\n",
+       "      <td>105.92</td>\n",
+       "      <td>32.5</td>\n",
+       "      <td>never smoked</td>\n",
+       "      <td>1</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3</th>\n",
+       "      <td>60182</td>\n",
+       "      <td>Female</td>\n",
+       "      <td>49.0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>Yes</td>\n",
+       "      <td>Private</td>\n",
+       "      <td>Urban</td>\n",
+       "      <td>171.23</td>\n",
+       "      <td>34.4</td>\n",
+       "      <td>smokes</td>\n",
+       "      <td>1</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4</th>\n",
+       "      <td>1665</td>\n",
+       "      <td>Female</td>\n",
+       "      <td>79.0</td>\n",
+       "      <td>1</td>\n",
+       "      <td>0</td>\n",
+       "      <td>Yes</td>\n",
+       "      <td>Self-employed</td>\n",
+       "      <td>Rural</td>\n",
+       "      <td>174.12</td>\n",
+       "      <td>24.0</td>\n",
+       "      <td>never smoked</td>\n",
+       "      <td>1</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "      id  gender   age  hypertension  heart_disease ever_married  \\\n",
+       "0   9046    Male  67.0             0              1          Yes   \n",
+       "1  51676  Female  61.0             0              0          Yes   \n",
+       "2  31112    Male  80.0             0              1          Yes   \n",
+       "3  60182  Female  49.0             0              0          Yes   \n",
+       "4   1665  Female  79.0             1              0          Yes   \n",
+       "\n",
+       "       work_type Residence_type  avg_glucose_level   bmi   smoking_status  \\\n",
+       "0        Private          Urban             228.69  36.6  formerly smoked   \n",
+       "1  Self-employed          Rural             202.21   NaN     never smoked   \n",
+       "2        Private          Rural             105.92  32.5     never smoked   \n",
+       "3        Private          Urban             171.23  34.4           smokes   \n",
+       "4  Self-employed          Rural             174.12  24.0     never smoked   \n",
+       "\n",
+       "   stroke  \n",
+       "0       1  \n",
+       "1       1  \n",
+       "2       1  \n",
+       "3       1  \n",
+       "4       1  "
+      ]
+     },
+     "execution_count": 218,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "df.head()"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "Унитарное кодирование категориальных признаков (one-hot encoding)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 219,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Определение категориальных признаков\n",
+    "categorical_features = [\n",
+    "    \"gender\",\n",
+    "    \"hypertension\",\n",
+    "    \"heart_disease\",\n",
+    "    \"ever_married\",\n",
+    "    \"work_type\",\n",
+    "    \"Residence_type\",\n",
+    "    \"smoking_status\",\n",
+    "]\n",
+    "\n",
+    "# Применение one-hot encoding к обучающей выборке\n",
+    "train_df_resampled_encoded = pd.get_dummies(\n",
+    "    train_df_resampled, columns=categorical_features\n",
+    ")\n",
+    "\n",
+    "# Применение one-hot encoding к контрольной выборке\n",
+    "val_df_encoded = pd.get_dummies(val_df, columns=categorical_features)\n",
+    "\n",
+    "# Применение one-hot encoding к тестовой выборке\n",
+    "test_df_encoded = pd.get_dummies(test_df, columns=categorical_features)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "Дискретизация числовых признаков"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 220,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Применение upsampling к обучающей выборке\n",
+    "X_train = train_df.drop(\n",
+    "    \"gender\", axis=1\n",
+    ")  # Отделяем признаки от целевой переменной\n",
+    "y_train = train_df[\"gender\"]  # Целевая переменная\n",
+    "\n",
+    "# Инициализация RandomOverSampler\n",
+    "ros = RandomOverSampler(random_state=42)\n",
+    "\n",
+    "# Применение upsampling\n",
+    "X_train_resampled, y_train_resampled = ros.fit_resample(X_train, y_train)\n",
+    "\n",
+    "# Создание нового DataFrame с балансированными данными\n",
+    "train_df_resampled = pd.concat([X_train_resampled, y_train_resampled], axis=1)\n",
+    "\n",
+    "# Определение числовых признаков для дискретизации\n",
+    "numerical_features = [\"age\", \"avg_glucose_level\", \"bmi\", \"stroke\"]\n",
+    "\n",
+    "\n",
+    "# Функция для дискретизации числовых признаков\n",
+    "def discretize_features(df, features, bins=5, labels=False):\n",
+    "    for feature in features:\n",
+    "        df[f\"{feature}_bin\"] = pd.cut(df[feature], bins=bins, labels=labels)\n",
+    "    return df\n",
+    "\n",
+    "\n",
+    "# Применение дискретизации к обучающей, контрольной и тестовой выборкам\n",
+    "train_df_resampled = discretize_features(train_df_resampled, numerical_features)\n",
+    "val_df = discretize_features(val_df, numerical_features)\n",
+    "test_df = discretize_features(test_df, numerical_features)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "Ручной синтез"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 221,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Применение upsampling к обучающей выборке\n",
+    "X_train = train_df.drop(\n",
+    "    \"gender\", axis=1\n",
+    ")  # Отделяем признаки от целевой переменной\n",
+    "y_train = train_df[\"gender\"]  # Целевая переменная\n",
+    "\n",
+    "# Инициализация RandomOverSampler\n",
+    "ros = RandomOverSampler(random_state=42)\n",
+    "\n",
+    "# Применение upsampling\n",
+    "X_train_resampled, y_train_resampled = ros.fit_resample(X_train, y_train)\n",
+    "\n",
+    "# Создание нового DataFrame с балансированными данными\n",
+    "train_df_resampled = pd.concat([X_train_resampled, y_train_resampled], axis=1)\n",
+    "\n",
+    "# Создание нового признака \"age_group\" на основе признака \"age\"\n",
+    "age_group_mapping = {\n",
+    "    \"Young\": (0, 39),\n",
+    "    \"Adult\": (40, 60),\n",
+    "    \"Elderly\": (61, 110),  # Верхняя граница выбрана с запасом\n",
+    "}\n",
+    "\n",
+    "train_df_resampled[\"age_group\"] = train_df_resampled[\"age\"].map(age_group_mapping)\n",
+    "val_df[\"age_group\"] = val_df[\"age\"].map(age_group_mapping)\n",
+    "test_df[\"age_group\"] = test_df[\"age\"].map(age_group_mapping)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "Масштабирование признаков на основе нормировки и стандартизации"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 222,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "from sklearn.model_selection import train_test_split\n",
+    "from imblearn.over_sampling import RandomOverSampler\n",
+    "from sklearn.preprocessing import StandardScaler\n",
+    "\n",
+    "\n",
+    "# Определение числовых признаков для масштабирования\n",
+    "numerical_features_to_scale = [\"age\", \"avg_glucose_level\", \"bmi\", \"stroke\"]\n",
+    "\n",
+    "# Инициализация StandardScaler\n",
+    "scaler = StandardScaler()\n",
+    "\n",
+    "# Масштабирование числовых признаков в обучающей выборке\n",
+    "train_df_resampled[numerical_features_to_scale] = scaler.fit_transform(\n",
+    "    train_df_resampled[numerical_features_to_scale]\n",
+    ")\n",
+    "\n",
+    "# Масштабирование числовых признаков в контрольной и тестовой выборках\n",
+    "val_df[numerical_features_to_scale] = scaler.transform(\n",
+    "    val_df[numerical_features_to_scale]\n",
+    ")\n",
+    "test_df[numerical_features_to_scale] = scaler.transform(\n",
+    "    test_df[numerical_features_to_scale]\n",
+    ")"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "**8. Выполнить также конструирование признаков с применением фреймворка Featuretools.**\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 223,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "c:\\Users\\nemar\\maiNew\\Lib\\site-packages\\woodwork\\type_sys\\utils.py:33: UserWarning: Could not infer format, so each element will be parsed individually, falling back to `dateutil`. To ensure parsing is consistent and as-expected, please specify a format.\n",
+      "  pd.to_datetime(\n",
+      "c:\\Users\\nemar\\maiNew\\Lib\\site-packages\\woodwork\\type_sys\\utils.py:33: UserWarning: Could not infer format, so each element will be parsed individually, falling back to `dateutil`. To ensure parsing is consistent and as-expected, please specify a format.\n",
+      "  pd.to_datetime(\n",
+      "c:\\Users\\nemar\\maiNew\\Lib\\site-packages\\woodwork\\type_sys\\utils.py:33: UserWarning: Could not infer format, so each element will be parsed individually, falling back to `dateutil`. To ensure parsing is consistent and as-expected, please specify a format.\n",
+      "  pd.to_datetime(\n",
+      "c:\\Users\\nemar\\maiNew\\Lib\\site-packages\\woodwork\\type_sys\\utils.py:33: UserWarning: Could not infer format, so each element will be parsed individually, falling back to `dateutil`. To ensure parsing is consistent and as-expected, please specify a format.\n",
+      "  pd.to_datetime(\n",
+      "c:\\Users\\nemar\\maiNew\\Lib\\site-packages\\woodwork\\type_sys\\utils.py:33: UserWarning: Could not infer format, so each element will be parsed individually, falling back to `dateutil`. To ensure parsing is consistent and as-expected, please specify a format.\n",
+      "  pd.to_datetime(\n",
+      "c:\\Users\\nemar\\maiNew\\Lib\\site-packages\\woodwork\\type_sys\\utils.py:33: UserWarning: Could not infer format, so each element will be parsed individually, falling back to `dateutil`. To ensure parsing is consistent and as-expected, please specify a format.\n",
+      "  pd.to_datetime(\n",
+      "c:\\Users\\nemar\\maiNew\\Lib\\site-packages\\woodwork\\type_sys\\utils.py:33: UserWarning: Could not infer format, so each element will be parsed individually, falling back to `dateutil`. To ensure parsing is consistent and as-expected, please specify a format.\n",
+      "  pd.to_datetime(\n",
+      "c:\\Users\\nemar\\maiNew\\Lib\\site-packages\\woodwork\\type_sys\\utils.py:33: UserWarning: Could not infer format, so each element will be parsed individually, falling back to `dateutil`. To ensure parsing is consistent and as-expected, please specify a format.\n",
+      "  pd.to_datetime(\n",
+      "c:\\Users\\nemar\\maiNew\\Lib\\site-packages\\woodwork\\type_sys\\utils.py:33: UserWarning: Could not infer format, so each element will be parsed individually, falling back to `dateutil`. To ensure parsing is consistent and as-expected, please specify a format.\n",
+      "  pd.to_datetime(\n",
+      "c:\\Users\\nemar\\maiNew\\Lib\\site-packages\\woodwork\\type_sys\\utils.py:33: UserWarning: Could not infer format, so each element will be parsed individually, falling back to `dateutil`. To ensure parsing is consistent and as-expected, please specify a format.\n",
+      "  pd.to_datetime(\n",
+      "c:\\Users\\nemar\\maiNew\\Lib\\site-packages\\featuretools\\synthesis\\deep_feature_synthesis.py:169: UserWarning: Only one dataframe in entityset, changing max_depth to 1 since deeper features cannot be created\n",
+      "  warnings.warn(\n",
+      "c:\\Users\\nemar\\maiNew\\Lib\\site-packages\\featuretools\\computational_backends\\feature_set_calculator.py:143: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.\n",
+      "  df = pd.concat([df, default_df], sort=True)\n",
+      "c:\\Users\\nemar\\maiNew\\Lib\\site-packages\\featuretools\\computational_backends\\feature_set_calculator.py:143: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.\n",
+      "  df = pd.concat([df, default_df], sort=True)\n",
+      "c:\\Users\\nemar\\maiNew\\Lib\\site-packages\\featuretools\\computational_backends\\feature_set_calculator.py:143: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.\n",
+      "  df = pd.concat([df, default_df], sort=True)\n",
+      "c:\\Users\\nemar\\maiNew\\Lib\\site-packages\\featuretools\\computational_backends\\feature_set_calculator.py:143: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.\n",
+      "  df = pd.concat([df, default_df], sort=True)\n",
+      "c:\\Users\\nemar\\maiNew\\Lib\\site-packages\\woodwork\\logical_types.py:841: FutureWarning: Downcasting behavior in `replace` is deprecated and will be removed in a future version. To retain the old behavior, explicitly call `result.infer_objects(copy=False)`. To opt-in to the future behavior, set `pd.set_option('future.no_silent_downcasting', True)`\n",
+      "  series = series.replace(ww.config.get_option(\"nan_values\"), np.nan)\n",
+      "c:\\Users\\nemar\\maiNew\\Lib\\site-packages\\woodwork\\logical_types.py:841: FutureWarning: Downcasting behavior in `replace` is deprecated and will be removed in a future version. To retain the old behavior, explicitly call `result.infer_objects(copy=False)`. To opt-in to the future behavior, set `pd.set_option('future.no_silent_downcasting', True)`\n",
+      "  series = series.replace(ww.config.get_option(\"nan_values\"), np.nan)\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Обучающая выборка после конструирования признаков:\n",
+      "       gender   age  hypertension  heart_disease  ever_married      work_type  \\\n",
+      "id                                                                              \n",
+      "17242    Male  67.0             0              0          True  Self-employed   \n",
+      "51177  Female  49.0             0              0          True        Private   \n",
+      "50495    Male  58.0             1              0          True        Private   \n",
+      "34188  Female  47.0             0              0          True       Govt_job   \n",
+      "45485  Female  45.0             0              0          True  Self-employed   \n",
+      "\n",
+      "      Residence_type  avg_glucose_level   bmi   smoking_status  stroke  \n",
+      "id                                                                      \n",
+      "17242          Urban              68.52  26.2     never smoked       0  \n",
+      "51177          Urban              67.68  24.8  formerly smoked       0  \n",
+      "50495          Rural             106.27  28.6     never smoked       0  \n",
+      "34188          Urban              95.07  38.8  formerly smoked       0  \n",
+      "45485          Urban              92.76  22.3          Unknown       0  \n",
+      "Контрольная выборка после конструирования признаков:\n",
+      "     gender  age  hypertension  heart_disease  ever_married work_type  \\\n",
+      "id                                                                      \n",
+      "4916    NaN  NaN          <NA>           <NA>          <NA>       NaN   \n",
+      "3281    NaN  NaN          <NA>           <NA>          <NA>       NaN   \n",
+      "4801    NaN  NaN          <NA>           <NA>          <NA>       NaN   \n",
+      "4130    NaN  NaN          <NA>           <NA>          <NA>       NaN   \n",
+      "4680    NaN  NaN          <NA>           <NA>          <NA>       NaN   \n",
+      "\n",
+      "     Residence_type  avg_glucose_level  bmi smoking_status  stroke  \n",
+      "id                                                                  \n",
+      "4916            NaN                NaN  NaN            NaN    <NA>  \n",
+      "3281            NaN                NaN  NaN            NaN    <NA>  \n",
+      "4801            NaN                NaN  NaN            NaN    <NA>  \n",
+      "4130            NaN                NaN  NaN            NaN    <NA>  \n",
+      "4680            NaN                NaN  NaN            NaN    <NA>  \n",
+      "Тестовая выборка после конструирования признаков:\n",
+      "     gender  age  hypertension  heart_disease  ever_married work_type  \\\n",
+      "id                                                                      \n",
+      "4688    NaN  NaN          <NA>           <NA>          <NA>       NaN   \n",
+      "4478    NaN  NaN          <NA>           <NA>          <NA>       NaN   \n",
+      "3849    NaN  NaN          <NA>           <NA>          <NA>       NaN   \n",
+      "4355    NaN  NaN          <NA>           <NA>          <NA>       NaN   \n",
+      "3826    NaN  NaN          <NA>           <NA>          <NA>       NaN   \n",
+      "\n",
+      "     Residence_type  avg_glucose_level  bmi smoking_status  stroke  \n",
+      "id                                                                  \n",
+      "4688            NaN                NaN  NaN            NaN    <NA>  \n",
+      "4478            NaN                NaN  NaN            NaN    <NA>  \n",
+      "3849            NaN                NaN  NaN            NaN    <NA>  \n",
+      "4355            NaN                NaN  NaN            NaN    <NA>  \n",
+      "3826            NaN                NaN  NaN            NaN    <NA>  \n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "c:\\Users\\nemar\\maiNew\\Lib\\site-packages\\featuretools\\computational_backends\\feature_set_calculator.py:143: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.\n",
+      "  df = pd.concat([df, default_df], sort=True)\n",
+      "c:\\Users\\nemar\\maiNew\\Lib\\site-packages\\featuretools\\computational_backends\\feature_set_calculator.py:143: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.\n",
+      "  df = pd.concat([df, default_df], sort=True)\n",
+      "c:\\Users\\nemar\\maiNew\\Lib\\site-packages\\featuretools\\computational_backends\\feature_set_calculator.py:143: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.\n",
+      "  df = pd.concat([df, default_df], sort=True)\n",
+      "c:\\Users\\nemar\\maiNew\\Lib\\site-packages\\featuretools\\computational_backends\\feature_set_calculator.py:143: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.\n",
+      "  df = pd.concat([df, default_df], sort=True)\n",
+      "c:\\Users\\nemar\\maiNew\\Lib\\site-packages\\woodwork\\logical_types.py:841: FutureWarning: Downcasting behavior in `replace` is deprecated and will be removed in a future version. To retain the old behavior, explicitly call `result.infer_objects(copy=False)`. To opt-in to the future behavior, set `pd.set_option('future.no_silent_downcasting', True)`\n",
+      "  series = series.replace(ww.config.get_option(\"nan_values\"), np.nan)\n",
+      "c:\\Users\\nemar\\maiNew\\Lib\\site-packages\\woodwork\\logical_types.py:841: FutureWarning: Downcasting behavior in `replace` is deprecated and will be removed in a future version. To retain the old behavior, explicitly call `result.infer_objects(copy=False)`. To opt-in to the future behavior, set `pd.set_option('future.no_silent_downcasting', True)`\n",
+      "  series = series.replace(ww.config.get_option(\"nan_values\"), np.nan)\n"
+     ]
+    }
+   ],
+   "source": [
+    "import featuretools as ft\n",
+    "\n",
+    "# Создание нового признака \"age_group\" на основе признака \"age\"\n",
+    "age_group_mapping = {\n",
+    "    \"Young\": (0, 39),\n",
+    "    \"Adult\": (40, 60),\n",
+    "    \"Elderly\": (61, 110),  # Верхняя граница выбрана с запасом\n",
+    "}\n",
+    "\n",
+    "train_df_resampled[\"age_group\"] = train_df_resampled[\"age\"].map(age_group_mapping)\n",
+    "val_df[\"age_group\"] = val_df[\"age\"].map(age_group_mapping)\n",
+    "test_df[\"age_group\"] = test_df[\"age\"].map(age_group_mapping)\n",
+    "\n",
+    "# Определение сущностей\n",
+    "es = ft.EntitySet(id=\"stroke_data\")\n",
+    "es = es.add_dataframe(dataframe_name=\"train\", dataframe=train_df, index=\"id\")\n",
+    "\n",
+    "# Генерация признаков\n",
+    "feature_matrix, feature_defs = ft.dfs(\n",
+    "    entityset=es, target_dataframe_name=\"train\", max_depth=2\n",
+    ")\n",
+    "\n",
+    "# Преобразование признаков для контрольной и тестовой выборок\n",
+    "val_feature_matrix = ft.calculate_feature_matrix(\n",
+    "    features=feature_defs, entityset=es, instance_ids=val_df.index\n",
+    ")\n",
+    "test_feature_matrix = ft.calculate_feature_matrix(\n",
+    "    features=feature_defs, entityset=es, instance_ids=test_df.index\n",
+    ")\n",
+    "\n",
+    "# Вывод первых нескольких строк для проверки\n",
+    "print(\"Обучающая выборка после конструирования признаков:\")\n",
+    "print(feature_matrix.head())\n",
+    "print(\"Контрольная выборка после конструирования признаков:\")\n",
+    "print(val_feature_matrix.head())\n",
+    "print(\"Тестовая выборка после конструирования признаков:\")\n",
+    "print(test_feature_matrix.head())"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "Оценка качества каждого набора признаков"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "Предсказательная способность Метрики: RMSE, MAE, R²\n",
+    "Методы: Обучение модели на обучающей выборке и оценка на контрольной и тестовой выборках.\n",
+    "Скорость вычисления Методы: Измерение времени выполнения генерации признаков и обучения модели.\n",
+    "Надежность Методы: Кросс-валидация, анализ чувствительности модели к изменениям в данных.\n",
+    "Корреляция Методы: Анализ корреляционной матрицы признаков, удаление мультиколлинеарных признаков.\n",
+    "Цельность Методы: Проверка логической связи между признаками и целевой переменной, интерпретация результатов модели."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 224,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "c:\\Users\\nemar\\maiNew\\Lib\\site-packages\\featuretools\\synthesis\\deep_feature_synthesis.py:169: UserWarning: Only one dataframe in entityset, changing max_depth to 1 since deeper features cannot be created\n",
+      "  warnings.warn(\n",
+      "c:\\Users\\nemar\\maiNew\\Lib\\site-packages\\featuretools\\computational_backends\\feature_set_calculator.py:143: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.\n",
+      "  df = pd.concat([df, default_df], sort=True)\n",
+      "c:\\Users\\nemar\\maiNew\\Lib\\site-packages\\woodwork\\logical_types.py:841: FutureWarning: Downcasting behavior in `replace` is deprecated and will be removed in a future version. To retain the old behavior, explicitly call `result.infer_objects(copy=False)`. To opt-in to the future behavior, set `pd.set_option('future.no_silent_downcasting', True)`\n",
+      "  series = series.replace(ww.config.get_option(\"nan_values\"), np.nan)\n",
+      "c:\\Users\\nemar\\maiNew\\Lib\\site-packages\\featuretools\\computational_backends\\feature_set_calculator.py:143: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.\n",
+      "  df = pd.concat([df, default_df], sort=True)\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Размер обучающей выборки: 2503\n",
+      "Размер контрольной выборки: 1074\n",
+      "Размер тестовой выборки: 1533\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "c:\\Users\\nemar\\maiNew\\Lib\\site-packages\\woodwork\\logical_types.py:841: FutureWarning: Downcasting behavior in `replace` is deprecated and will be removed in a future version. To retain the old behavior, explicitly call `result.infer_objects(copy=False)`. To opt-in to the future behavior, set `pd.set_option('future.no_silent_downcasting', True)`\n",
+      "  series = series.replace(ww.config.get_option(\"nan_values\"), np.nan)\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Feature Importance:\n",
+      "                           feature  importance\n",
+      "3                           stroke    0.711169\n",
+      "1                avg_glucose_level    0.068766\n",
+      "0                              age    0.063609\n",
+      "2                              bmi    0.056238\n",
+      "8                  heart_disease_0    0.009902\n",
+      "9                  heart_disease_1    0.007539\n",
+      "21     smoking_status_never smoked    0.007396\n",
+      "14               work_type_Private    0.006996\n",
+      "15         work_type_Self-employed    0.006630\n",
+      "4                    gender_Female    0.006588\n",
+      "6                   hypertension_0    0.005848\n",
+      "22           smoking_status_smokes    0.005657\n",
+      "19          smoking_status_Unknown    0.005477\n",
+      "5                      gender_Male    0.005477\n",
+      "18            Residence_type_Urban    0.005346\n",
+      "7                   hypertension_1    0.005246\n",
+      "12              work_type_Govt_job    0.004729\n",
+      "17            Residence_type_Rural    0.004579\n",
+      "20  smoking_status_formerly smoked    0.004296\n",
+      "10              ever_married_False    0.004108\n",
+      "11               ever_married_True    0.003490\n",
+      "16              work_type_children    0.000909\n",
+      "13          work_type_Never_worked    0.000005\n"
+     ]
+    }
+   ],
+   "source": [
+    "from imblearn.over_sampling import RandomOverSampler\n",
+    "from sklearn.ensemble import RandomForestClassifier\n",
+    "\n",
+    "# Вывод размеров выборок\n",
+    "print(\"Размер обучающей выборки:\", len(train_df))\n",
+    "print(\"Размер контрольной выборки:\", len(val_df))\n",
+    "print(\"Размер тестовой выборки:\", len(test_df))\n",
+    "\n",
+    "# Определение категориальных признаков\n",
+    "categorical_features = [\n",
+    "    \"gender\",\n",
+    "    \"hypertension\",\n",
+    "    \"heart_disease\",\n",
+    "    \"ever_married\",\n",
+    "    \"work_type\",\n",
+    "    \"Residence_type\",\n",
+    "    \"smoking_status\",\n",
+    "]\n",
+    "\n",
+    "# Применение one-hot encoding к обучающей выборке\n",
+    "train_df_encoded = pd.get_dummies(train_df, columns=categorical_features)\n",
+    "\n",
+    "# Применение one-hot encoding к контрольной выборке\n",
+    "val_df_encoded = pd.get_dummies(val_df, columns=categorical_features)\n",
+    "\n",
+    "# Применение one-hot encoding к тестовой выборке\n",
+    "test_df_encoded = pd.get_dummies(test_df, columns=categorical_features)\n",
+    "\n",
+    "# Определение сущностей\n",
+    "es = ft.EntitySet(id='stroke_data')\n",
+    "es = es.add_dataframe(dataframe_name='stroke', dataframe=train_df_encoded, index='id')\n",
+    "\n",
+    "# Генерация признаков\n",
+    "feature_matrix, feature_defs = ft.dfs(entityset=es, target_dataframe_name='stroke', max_depth=2)\n",
+    "\n",
+    "# Преобразование признаков для контрольной и тестовой выборок\n",
+    "val_feature_matrix = ft.calculate_feature_matrix(features=feature_defs, entityset=es, instance_ids=val_df_encoded.index)\n",
+    "test_feature_matrix = ft.calculate_feature_matrix(features=feature_defs, entityset=es, instance_ids=test_df_encoded.index)\n",
+    "\n",
+    "# Оценка важности признаков\n",
+    "X = feature_matrix\n",
+    "y = train_df_encoded['stroke']\n",
+    "\n",
+    "# Разделение данных на обучающую и тестовую выборки\n",
+    "X_train, X_test, y_train, y_test = train_test_split(X, y, test_size=0.2, random_state=42)\n",
+    "\n",
+    "# Обучение модели\n",
+    "model = RandomForestClassifier(n_estimators=100, random_state=42)\n",
+    "model.fit(X_train, y_train)\n",
+    "\n",
+    "# Получение важности признаков\n",
+    "importances = model.feature_importances_\n",
+    "feature_names = feature_matrix.columns\n",
+    "\n",
+    "# Сортировка признаков по важности\n",
+    "feature_importance = pd.DataFrame({'feature': feature_names, 'importance': importances})\n",
+    "feature_importance = feature_importance.sort_values(by='importance', ascending=False)\n",
+    "\n",
+    "print(\"Feature Importance:\")\n",
+    "print(feature_importance)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 225,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Колонки после get_dummies: Index(['id', 'age', 'avg_glucose_level', 'bmi', 'stroke', 'gender_Female',\n",
+      "       'gender_Male', 'hypertension_0', 'hypertension_1', 'heart_disease_0',\n",
+      "       'heart_disease_1', 'ever_married_False', 'ever_married_True',\n",
+      "       'work_type_Govt_job', 'work_type_Never_worked', 'work_type_Private',\n",
+      "       'work_type_Self-employed', 'work_type_children', 'Residence_type_Rural',\n",
+      "       'Residence_type_Urban', 'smoking_status_Unknown',\n",
+      "       'smoking_status_formerly smoked', 'smoking_status_never smoked',\n",
+      "       'smoking_status_smokes'],\n",
+      "      dtype='object')\n"
+     ]
+    }
+   ],
+   "source": [
+    "print(\"Колонки после get_dummies:\", train_df_encoded.columns)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 226,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Размер обучающей выборки: 249\n",
+      "Размер контрольной выборки: 108\n",
+      "Размер тестовой выборки: 154\n",
+      "(0, 23)\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "c:\\Users\\nemar\\maiNew\\Lib\\site-packages\\featuretools\\computational_backends\\feature_set_calculator.py:143: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.\n",
+      "  df = pd.concat([df, default_df], sort=True)\n",
+      "c:\\Users\\nemar\\maiNew\\Lib\\site-packages\\woodwork\\logical_types.py:841: FutureWarning: Downcasting behavior in `replace` is deprecated and will be removed in a future version. To retain the old behavior, explicitly call `result.infer_objects(copy=False)`. To opt-in to the future behavior, set `pd.set_option('future.no_silent_downcasting', True)`\n",
+      "  series = series.replace(ww.config.get_option(\"nan_values\"), np.nan)\n",
+      "c:\\Users\\nemar\\maiNew\\Lib\\site-packages\\woodwork\\logical_types.py:841: FutureWarning: Downcasting behavior in `replace` is deprecated and will be removed in a future version. To retain the old behavior, explicitly call `result.infer_objects(copy=False)`. To opt-in to the future behavior, set `pd.set_option('future.no_silent_downcasting', True)`\n",
+      "  series = series.replace(ww.config.get_option(\"nan_values\"), np.nan)\n",
+      "c:\\Users\\nemar\\maiNew\\Lib\\site-packages\\woodwork\\logical_types.py:841: FutureWarning: Downcasting behavior in `replace` is deprecated and will be removed in a future version. To retain the old behavior, explicitly call `result.infer_objects(copy=False)`. To opt-in to the future behavior, set `pd.set_option('future.no_silent_downcasting', True)`\n",
+      "  series = series.replace(ww.config.get_option(\"nan_values\"), np.nan)\n",
+      "c:\\Users\\nemar\\maiNew\\Lib\\site-packages\\woodwork\\logical_types.py:841: FutureWarning: Downcasting behavior in `replace` is deprecated and will be removed in a future version. To retain the old behavior, explicitly call `result.infer_objects(copy=False)`. To opt-in to the future behavior, set `pd.set_option('future.no_silent_downcasting', True)`\n",
+      "  series = series.replace(ww.config.get_option(\"nan_values\"), np.nan)\n",
+      "c:\\Users\\nemar\\maiNew\\Lib\\site-packages\\woodwork\\logical_types.py:841: FutureWarning: Downcasting behavior in `replace` is deprecated and will be removed in a future version. To retain the old behavior, explicitly call `result.infer_objects(copy=False)`. To opt-in to the future behavior, set `pd.set_option('future.no_silent_downcasting', True)`\n",
+      "  series = series.replace(ww.config.get_option(\"nan_values\"), np.nan)\n",
+      "c:\\Users\\nemar\\maiNew\\Lib\\site-packages\\woodwork\\logical_types.py:841: FutureWarning: Downcasting behavior in `replace` is deprecated and will be removed in a future version. To retain the old behavior, explicitly call `result.infer_objects(copy=False)`. To opt-in to the future behavior, set `pd.set_option('future.no_silent_downcasting', True)`\n",
+      "  series = series.replace(ww.config.get_option(\"nan_values\"), np.nan)\n",
+      "c:\\Users\\nemar\\maiNew\\Lib\\site-packages\\woodwork\\logical_types.py:841: FutureWarning: Downcasting behavior in `replace` is deprecated and will be removed in a future version. To retain the old behavior, explicitly call `result.infer_objects(copy=False)`. To opt-in to the future behavior, set `pd.set_option('future.no_silent_downcasting', True)`\n",
+      "  series = series.replace(ww.config.get_option(\"nan_values\"), np.nan)\n",
+      "c:\\Users\\nemar\\maiNew\\Lib\\site-packages\\woodwork\\logical_types.py:841: FutureWarning: Downcasting behavior in `replace` is deprecated and will be removed in a future version. To retain the old behavior, explicitly call `result.infer_objects(copy=False)`. To opt-in to the future behavior, set `pd.set_option('future.no_silent_downcasting', True)`\n",
+      "  series = series.replace(ww.config.get_option(\"nan_values\"), np.nan)\n",
+      "c:\\Users\\nemar\\maiNew\\Lib\\site-packages\\woodwork\\logical_types.py:841: FutureWarning: Downcasting behavior in `replace` is deprecated and will be removed in a future version. To retain the old behavior, explicitly call `result.infer_objects(copy=False)`. To opt-in to the future behavior, set `pd.set_option('future.no_silent_downcasting', True)`\n",
+      "  series = series.replace(ww.config.get_option(\"nan_values\"), np.nan)\n",
+      "c:\\Users\\nemar\\maiNew\\Lib\\site-packages\\woodwork\\logical_types.py:841: FutureWarning: Downcasting behavior in `replace` is deprecated and will be removed in a future version. To retain the old behavior, explicitly call `result.infer_objects(copy=False)`. To opt-in to the future behavior, set `pd.set_option('future.no_silent_downcasting', True)`\n",
+      "  series = series.replace(ww.config.get_option(\"nan_values\"), np.nan)\n",
+      "c:\\Users\\nemar\\maiNew\\Lib\\site-packages\\woodwork\\logical_types.py:841: FutureWarning: Downcasting behavior in `replace` is deprecated and will be removed in a future version. To retain the old behavior, explicitly call `result.infer_objects(copy=False)`. To opt-in to the future behavior, set `pd.set_option('future.no_silent_downcasting', True)`\n",
+      "  series = series.replace(ww.config.get_option(\"nan_values\"), np.nan)\n",
+      "c:\\Users\\nemar\\maiNew\\Lib\\site-packages\\woodwork\\logical_types.py:841: FutureWarning: Downcasting behavior in `replace` is deprecated and will be removed in a future version. To retain the old behavior, explicitly call `result.infer_objects(copy=False)`. To opt-in to the future behavior, set `pd.set_option('future.no_silent_downcasting', True)`\n",
+      "  series = series.replace(ww.config.get_option(\"nan_values\"), np.nan)\n",
+      "c:\\Users\\nemar\\maiNew\\Lib\\site-packages\\woodwork\\logical_types.py:841: FutureWarning: Downcasting behavior in `replace` is deprecated and will be removed in a future version. To retain the old behavior, explicitly call `result.infer_objects(copy=False)`. To opt-in to the future behavior, set `pd.set_option('future.no_silent_downcasting', True)`\n",
+      "  series = series.replace(ww.config.get_option(\"nan_values\"), np.nan)\n",
+      "c:\\Users\\nemar\\maiNew\\Lib\\site-packages\\woodwork\\logical_types.py:841: FutureWarning: Downcasting behavior in `replace` is deprecated and will be removed in a future version. To retain the old behavior, explicitly call `result.infer_objects(copy=False)`. To opt-in to the future behavior, set `pd.set_option('future.no_silent_downcasting', True)`\n",
+      "  series = series.replace(ww.config.get_option(\"nan_values\"), np.nan)\n",
+      "c:\\Users\\nemar\\maiNew\\Lib\\site-packages\\woodwork\\logical_types.py:841: FutureWarning: Downcasting behavior in `replace` is deprecated and will be removed in a future version. To retain the old behavior, explicitly call `result.infer_objects(copy=False)`. To opt-in to the future behavior, set `pd.set_option('future.no_silent_downcasting', True)`\n",
+      "  series = series.replace(ww.config.get_option(\"nan_values\"), np.nan)\n",
+      "c:\\Users\\nemar\\maiNew\\Lib\\site-packages\\woodwork\\logical_types.py:841: FutureWarning: Downcasting behavior in `replace` is deprecated and will be removed in a future version. To retain the old behavior, explicitly call `result.infer_objects(copy=False)`. To opt-in to the future behavior, set `pd.set_option('future.no_silent_downcasting', True)`\n",
+      "  series = series.replace(ww.config.get_option(\"nan_values\"), np.nan)\n",
+      "c:\\Users\\nemar\\maiNew\\Lib\\site-packages\\woodwork\\logical_types.py:841: FutureWarning: Downcasting behavior in `replace` is deprecated and will be removed in a future version. To retain the old behavior, explicitly call `result.infer_objects(copy=False)`. To opt-in to the future behavior, set `pd.set_option('future.no_silent_downcasting', True)`\n",
+      "  series = series.replace(ww.config.get_option(\"nan_values\"), np.nan)\n",
+      "c:\\Users\\nemar\\maiNew\\Lib\\site-packages\\woodwork\\logical_types.py:841: FutureWarning: Downcasting behavior in `replace` is deprecated and will be removed in a future version. To retain the old behavior, explicitly call `result.infer_objects(copy=False)`. To opt-in to the future behavior, set `pd.set_option('future.no_silent_downcasting', True)`\n",
+      "  series = series.replace(ww.config.get_option(\"nan_values\"), np.nan)\n",
+      "c:\\Users\\nemar\\maiNew\\Lib\\site-packages\\woodwork\\logical_types.py:841: FutureWarning: Downcasting behavior in `replace` is deprecated and will be removed in a future version. To retain the old behavior, explicitly call `result.infer_objects(copy=False)`. To opt-in to the future behavior, set `pd.set_option('future.no_silent_downcasting', True)`\n",
+      "  series = series.replace(ww.config.get_option(\"nan_values\"), np.nan)\n",
+      "c:\\Users\\nemar\\maiNew\\Lib\\site-packages\\woodwork\\logical_types.py:841: FutureWarning: Downcasting behavior in `replace` is deprecated and will be removed in a future version. To retain the old behavior, explicitly call `result.infer_objects(copy=False)`. To opt-in to the future behavior, set `pd.set_option('future.no_silent_downcasting', True)`\n",
+      "  series = series.replace(ww.config.get_option(\"nan_values\"), np.nan)\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Accuracy: 1.0\n",
+      "Precision: 1.0\n",
+      "Recall: 1.0\n",
+      "F1 Score: 1.0\n",
+      "ROC AUC: 1.0\n",
+      "Cross-validated Accuracy: 0.9995\n"
+     ]
+    },
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 1000x600 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Train Accuracy: 1.0\n",
+      "Train Precision: 1.0\n",
+      "Train Recall: 1.0\n",
+      "Train F1 Score: 1.0\n",
+      "Train ROC AUC: 1.0\n"
+     ]
+    },
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 1000x600 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "from sklearn.metrics import accuracy_score, precision_score, recall_score, f1_score, roc_auc_score\n",
+    "from sklearn.model_selection import cross_val_score\n",
+    "import matplotlib.pyplot as plt\n",
+    "\n",
+    "# Уменьшение размера выборки для ускорения работы (опционально)\n",
+    "df = df.sample(frac=0.1, random_state=42)\n",
+    "\n",
+    "# Разделение на обучающую и тестовую выборки с сохранением пропорции классов\n",
+    "train_df, test_df = train_test_split(df, test_size=0.3, random_state=42, stratify=df['ever_married'])\n",
+    "\n",
+    "# Разделение обучающей выборки на обучающую и валидационную\n",
+    "train_df, val_df = train_test_split(train_df, test_size=0.3, random_state=42, stratify=train_df['ever_married'])\n",
+    "\n",
+    "# Вывод размеров выборок\n",
+    "print(\"Размер обучающей выборки:\", len(train_df))\n",
+    "print(\"Размер контрольной выборки:\", len(val_df))\n",
+    "print(\"Размер тестовой выборки:\", len(test_df))\n",
+    "\n",
+    "# Определение категориальных признаков\n",
+    "categorical_features = [\n",
+    "    \"gender\",\n",
+    "    \"hypertension\",\n",
+    "    \"heart_disease\",\n",
+    "    \"ever_married\",\n",
+    "    \"work_type\",\n",
+    "    \"Residence_type\",\n",
+    "    \"smoking_status\",\n",
+    "]\n",
+    "\n",
+    "# Применение one-hot encoding к обучающей выборке\n",
+    "train_df_encoded = pd.get_dummies(train_df, columns=categorical_features)\n",
+    "\n",
+    "# Применение one-hot encoding к контрольной выборке\n",
+    "val_df_encoded = pd.get_dummies(val_df, columns=categorical_features)\n",
+    "\n",
+    "# Применение one-hot encoding к тестовой выборке\n",
+    "test_df_encoded = pd.get_dummies(test_df, columns=categorical_features)\n",
+    "\n",
+    "# Определение сущностей\n",
+    "es = ft.EntitySet(id='stroke_data')\n",
+    "es = es.add_dataframe(dataframe_name='stroke', dataframe=train_df_encoded, index='id')\n",
+    "\n",
+    "# Генерация признаков с уменьшенной глубиной\n",
+    "feature_matrix, feature_defs = ft.dfs(entityset=es, target_dataframe_name='stroke', max_depth=1)\n",
+    "\n",
+    "# Преобразование признаков для контрольной и тестовой выборок\n",
+    "val_feature_matrix = ft.calculate_feature_matrix(features=feature_defs, entityset=es, instance_ids=val_df_encoded.index)\n",
+    "test_feature_matrix = ft.calculate_feature_matrix(features=feature_defs, entityset=es, instance_ids=test_df_encoded.index)\n",
+    "\n",
+    "# Удаление строк с NaN\n",
+    "feature_matrix = feature_matrix.dropna()\n",
+    "val_feature_matrix = val_feature_matrix.dropna()\n",
+    "test_feature_matrix = test_feature_matrix.dropna()\n",
+    "\n",
+    "# Разделение данных на обучающую и тестовую выборки\n",
+    "\n",
+    "# print(\"Размер feature_matrix до удаления NaN:\", feature_matrix.shape)\n",
+    "# X_train = feature_matrix.drop(['ever_married_No', 'ever_married_Yes'], axis=1)\n",
+    "# print(\"Размер feature_matrix после удаления NaN:\", feature_matrix.shape)\n",
+    "\n",
+    "print(test_feature_matrix.shape)\n",
+    "\n",
+    "\n",
+    "# feature_matrix['ever_married'] = feature_matrix['ever_married_Yes']\n",
+    "# val_feature_matrix['ever_married'] = val_feature_matrix['ever_married_Yes']\n",
+    "# test_feature_matrix['ever_married'] = test_feature_matrix['ever_married_Yes']\n",
+    "\n",
+    "# X_train = feature_matrix.drop(['ever_married_No', 'ever_married_Yes'], axis=1)\n",
+    "# y_train = feature_matrix['ever_married']\n",
+    "\n",
+    "# X_val = val_feature_matrix.drop(['ever_married_No', 'ever_married_Yes'], axis=1)\n",
+    "# y_val = val_feature_matrix['ever_married']\n",
+    "\n",
+    "# X_test = test_feature_matrix.drop(['ever_married_No', 'ever_married_Yes'], axis=1)\n",
+    "# y_test = test_feature_matrix['ever_married']\n",
+    "\n",
+    "\n",
+    "# Выбор модели\n",
+    "model = RandomForestClassifier(random_state=42)\n",
+    "\n",
+    "# Обучение модели\n",
+    "model.fit(X_train, y_train)\n",
+    "\n",
+    "# Предсказание и оценка\n",
+    "y_pred = model.predict(X_test)\n",
+    "\n",
+    "accuracy = accuracy_score(y_test, y_pred)\n",
+    "precision = precision_score(y_test, y_pred)\n",
+    "recall = recall_score(y_test, y_pred)\n",
+    "f1 = f1_score(y_test, y_pred)\n",
+    "roc_auc = roc_auc_score(y_test, y_pred)\n",
+    "\n",
+    "print(f\"Accuracy: {accuracy}\")\n",
+    "print(f\"Precision: {precision}\")\n",
+    "print(f\"Recall: {recall}\")\n",
+    "print(f\"F1 Score: {f1}\")\n",
+    "print(f\"ROC AUC: {roc_auc}\")\n",
+    "\n",
+    "# Кросс-валидация\n",
+    "scores = cross_val_score(model, X_train, y_train, cv=5, scoring='accuracy')\n",
+    "accuracy_cv = scores.mean()\n",
+    "print(f\"Cross-validated Accuracy: {accuracy_cv}\")\n",
+    "\n",
+    "# Анализ важности признаков\n",
+    "feature_importances = model.feature_importances_\n",
+    "feature_names = X_train.columns\n",
+    "\n",
+    "importance_df = pd.DataFrame({'Feature': feature_names, 'Importance': feature_importances})\n",
+    "importance_df = importance_df.sort_values(by='Importance', ascending=False)\n",
+    "\n",
+    "plt.figure(figsize=(10, 6))\n",
+    "sns.barplot(x='Importance', y='Feature', data=importance_df)\n",
+    "plt.title('Feature Importance')\n",
+    "plt.show()\n",
+    "\n",
+    "# Проверка на переобучение\n",
+    "y_train_pred = model.predict(X_train)\n",
+    "\n",
+    "accuracy_train = accuracy_score(y_train, y_train_pred)\n",
+    "precision_train = precision_score(y_train, y_train_pred)\n",
+    "recall_train = recall_score(y_train, y_train_pred)\n",
+    "f1_train = f1_score(y_train, y_train_pred)\n",
+    "roc_auc_train = roc_auc_score(y_train, y_train_pred)\n",
+    "\n",
+    "print(f\"Train Accuracy: {accuracy_train}\")\n",
+    "print(f\"Train Precision: {precision_train}\")\n",
+    "print(f\"Train Recall: {recall_train}\")\n",
+    "print(f\"Train F1 Score: {f1_train}\")\n",
+    "print(f\"Train ROC AUC: {roc_auc_train}\")\n",
+    "\n",
+    "# Визуализация результатов\n",
+    "plt.figure(figsize=(10, 6))\n",
+    "plt.scatter(y_test, y_pred, alpha=0.5)\n",
+    "plt.plot([y_test.min(), y_test.max()], [y_test.min(), y_test.max()], 'k--', lw=2)\n",
+    "plt.xlabel('Actual stroke')\n",
+    "plt.ylabel('Predicted stroke')\n",
+    "plt.title('Actual vs Predicted stroke')\n",
+    "plt.show()"
+   ]
   }
  ],
  "metadata": {
+  "kernelspec": {
+   "display_name": "maiNew",
+   "language": "python",
+   "name": "python3"
+  },
   "language_info": {
-   "name": "python"
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.12.5"
   }
  },
  "nbformat": 4,
diff --git a/labs/lab3/newCoffee.csv b/labs/lab3/newCoffee.csv
new file mode 100644
index 0000000..a03162e
--- /dev/null
+++ b/labs/lab3/newCoffee.csv
@@ -0,0 +1,8037 @@
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