diff --git a/lab_4/lab4.ipynb b/lab_4/lab4.ipynb
index cd8cd14..7d6646e 100644
--- a/lab_4/lab4.ipynb
+++ b/lab_4/lab4.ipynb
@@ -365,7 +365,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 12,
+   "execution_count": 1,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -392,7 +392,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 13,
+   "execution_count": 2,
    "metadata": {},
    "outputs": [
     {
@@ -408,7 +408,6 @@
     }
    ],
    "source": [
-    "import pandas as pd\n",
     "from sklearn.model_selection import train_test_split\n",
     "from sklearn.metrics import mean_absolute_error, mean_squared_error, r2_score\n",
     "\n",
@@ -437,7 +436,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 14,
+   "execution_count": null,
    "metadata": {},
    "outputs": [
     {
@@ -451,16 +450,13 @@
     }
    ],
    "source": [
-    "import pandas as pd\n",
-    "from scipy import stats\n",
-    "from sklearn.model_selection import train_test_split, RandomizedSearchCV\n",
+    "\n",
     "from sklearn.preprocessing import StandardScaler, OneHotEncoder\n",
     "from sklearn.compose import ColumnTransformer\n",
     "from sklearn.pipeline import Pipeline\n",
     "from sklearn.linear_model import LinearRegression\n",
     "from sklearn.tree import DecisionTreeRegressor\n",
     "from sklearn.ensemble import GradientBoostingRegressor\n",
-    "from sklearn.metrics import mean_absolute_error, mean_squared_error, r2_score\n",
     "\n",
     "categorical_features = ['Smoking', 'AlcoholDrinking', 'Stroke', 'DiffWalking', 'Sex', 'AgeCategory', 'Race', 'Diabetic', 'PhysicalActivity', 'GenHealth', 'Asthma', 'KidneyDisease', 'SkinCancer']\n",
     "numeric_features = ['BMI', 'PhysicalHealth', 'MentalHealth']\n",
@@ -579,7 +575,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 16,
+   "execution_count": null,
    "metadata": {},
    "outputs": [
     {
@@ -592,7 +588,6 @@
     }
    ],
    "source": [
-    "import pandas as pd\n",
     "from sklearn.model_selection import train_test_split\n",
     "\n",
     "features = ['BMI', 'Smoking', 'AlcoholDrinking', 'Stroke', 'PhysicalHealth', 'MentalHealth', 'DiffWalking', 'Sex', 'AgeCategory', 'Race', 'Diabetic', 'PhysicalActivity', 'GenHealth', 'Asthma', 'KidneyDisease', 'SkinCancer']\n",