diff --git a/Regression_model.ipynb b/Regression_model.ipynb
deleted file mode 100644
index 94fc2d2f5b966df2b10c5144e82af6589439570e..0000000000000000000000000000000000000000
--- a/Regression_model.ipynb
+++ /dev/null
@@ -1,1961 +0,0 @@
-{
- "cells": [
-  {
-   "metadata": {
-    "ExecuteTime": {
-     "end_time": "2025-09-21T07:51:58.113003Z",
-     "start_time": "2025-09-21T07:51:57.627074Z"
-    }
-   },
-   "cell_type": "code",
-   "source": "import pandas as pd",
-   "id": "1d16d3cd5fc60a5e",
-   "outputs": [],
-   "execution_count": 1
-  },
-  {
-   "metadata": {},
-   "cell_type": "markdown",
-   "source": "# Reading csv file",
-   "id": "702437040fee0797"
-  },
-  {
-   "metadata": {
-    "ExecuteTime": {
-     "end_time": "2025-09-21T07:51:58.147785Z",
-     "start_time": "2025-09-21T07:51:58.119581Z"
-    }
-   },
-   "cell_type": "code",
-   "source": "churn_data=pd.read_csv(\"Telco-Customer-Churn.csv\")",
-   "id": "227974751e33b85e",
-   "outputs": [],
-   "execution_count": 2
-  },
-  {
-   "metadata": {},
-   "cell_type": "markdown",
-   "source": "# Displaying First 5 rows",
-   "id": "5ab1a0ef3de84c11"
-  },
-  {
-   "metadata": {
-    "ExecuteTime": {
-     "end_time": "2025-09-21T07:51:58.181377Z",
-     "start_time": "2025-09-21T07:51:58.156590Z"
-    }
-   },
-   "cell_type": "code",
-   "source": "churn_data.head()",
-   "id": "e185fa78d4ddd856",
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "   customerID  gender  SeniorCitizen Partner Dependents  tenure PhoneService  \\\n",
-       "0  7590-VHVEG  Female              0     Yes         No       1           No   \n",
-       "1  5575-GNVDE    Male              0      No         No      34          Yes   \n",
-       "2  3668-QPYBK    Male              0      No         No       2          Yes   \n",
-       "3  7795-CFOCW    Male              0      No         No      45           No   \n",
-       "4  9237-HQITU  Female              0      No         No       2          Yes   \n",
-       "\n",
-       "      MultipleLines InternetService OnlineSecurity  ... DeviceProtection  \\\n",
-       "0  No phone service             DSL             No  ...               No   \n",
-       "1                No             DSL            Yes  ...              Yes   \n",
-       "2                No             DSL            Yes  ...               No   \n",
-       "3  No phone service             DSL            Yes  ...              Yes   \n",
-       "4                No     Fiber optic             No  ...               No   \n",
-       "\n",
-       "  TechSupport StreamingTV StreamingMovies        Contract PaperlessBilling  \\\n",
-       "0          No          No              No  Month-to-month              Yes   \n",
-       "1          No          No              No        One year               No   \n",
-       "2          No          No              No  Month-to-month              Yes   \n",
-       "3         Yes          No              No        One year               No   \n",
-       "4          No          No              No  Month-to-month              Yes   \n",
-       "\n",
-       "               PaymentMethod MonthlyCharges  TotalCharges Churn  \n",
-       "0           Electronic check          29.85         29.85    No  \n",
-       "1               Mailed check          56.95        1889.5    No  \n",
-       "2               Mailed check          53.85        108.15   Yes  \n",
-       "3  Bank transfer (automatic)          42.30       1840.75    No  \n",
-       "4           Electronic check          70.70        151.65   Yes  \n",
-       "\n",
-       "[5 rows x 21 columns]"
-      ],
-      "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>customerID</th>\n",
-       "      <th>gender</th>\n",
-       "      <th>SeniorCitizen</th>\n",
-       "      <th>Partner</th>\n",
-       "      <th>Dependents</th>\n",
-       "      <th>tenure</th>\n",
-       "      <th>PhoneService</th>\n",
-       "      <th>MultipleLines</th>\n",
-       "      <th>InternetService</th>\n",
-       "      <th>OnlineSecurity</th>\n",
-       "      <th>...</th>\n",
-       "      <th>DeviceProtection</th>\n",
-       "      <th>TechSupport</th>\n",
-       "      <th>StreamingTV</th>\n",
-       "      <th>StreamingMovies</th>\n",
-       "      <th>Contract</th>\n",
-       "      <th>PaperlessBilling</th>\n",
-       "      <th>PaymentMethod</th>\n",
-       "      <th>MonthlyCharges</th>\n",
-       "      <th>TotalCharges</th>\n",
-       "      <th>Churn</th>\n",
-       "    </tr>\n",
-       "  </thead>\n",
-       "  <tbody>\n",
-       "    <tr>\n",
-       "      <th>0</th>\n",
-       "      <td>7590-VHVEG</td>\n",
-       "      <td>Female</td>\n",
-       "      <td>0</td>\n",
-       "      <td>Yes</td>\n",
-       "      <td>No</td>\n",
-       "      <td>1</td>\n",
-       "      <td>No</td>\n",
-       "      <td>No phone service</td>\n",
-       "      <td>DSL</td>\n",
-       "      <td>No</td>\n",
-       "      <td>...</td>\n",
-       "      <td>No</td>\n",
-       "      <td>No</td>\n",
-       "      <td>No</td>\n",
-       "      <td>No</td>\n",
-       "      <td>Month-to-month</td>\n",
-       "      <td>Yes</td>\n",
-       "      <td>Electronic check</td>\n",
-       "      <td>29.85</td>\n",
-       "      <td>29.85</td>\n",
-       "      <td>No</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>1</th>\n",
-       "      <td>5575-GNVDE</td>\n",
-       "      <td>Male</td>\n",
-       "      <td>0</td>\n",
-       "      <td>No</td>\n",
-       "      <td>No</td>\n",
-       "      <td>34</td>\n",
-       "      <td>Yes</td>\n",
-       "      <td>No</td>\n",
-       "      <td>DSL</td>\n",
-       "      <td>Yes</td>\n",
-       "      <td>...</td>\n",
-       "      <td>Yes</td>\n",
-       "      <td>No</td>\n",
-       "      <td>No</td>\n",
-       "      <td>No</td>\n",
-       "      <td>One year</td>\n",
-       "      <td>No</td>\n",
-       "      <td>Mailed check</td>\n",
-       "      <td>56.95</td>\n",
-       "      <td>1889.5</td>\n",
-       "      <td>No</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>2</th>\n",
-       "      <td>3668-QPYBK</td>\n",
-       "      <td>Male</td>\n",
-       "      <td>0</td>\n",
-       "      <td>No</td>\n",
-       "      <td>No</td>\n",
-       "      <td>2</td>\n",
-       "      <td>Yes</td>\n",
-       "      <td>No</td>\n",
-       "      <td>DSL</td>\n",
-       "      <td>Yes</td>\n",
-       "      <td>...</td>\n",
-       "      <td>No</td>\n",
-       "      <td>No</td>\n",
-       "      <td>No</td>\n",
-       "      <td>No</td>\n",
-       "      <td>Month-to-month</td>\n",
-       "      <td>Yes</td>\n",
-       "      <td>Mailed check</td>\n",
-       "      <td>53.85</td>\n",
-       "      <td>108.15</td>\n",
-       "      <td>Yes</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>3</th>\n",
-       "      <td>7795-CFOCW</td>\n",
-       "      <td>Male</td>\n",
-       "      <td>0</td>\n",
-       "      <td>No</td>\n",
-       "      <td>No</td>\n",
-       "      <td>45</td>\n",
-       "      <td>No</td>\n",
-       "      <td>No phone service</td>\n",
-       "      <td>DSL</td>\n",
-       "      <td>Yes</td>\n",
-       "      <td>...</td>\n",
-       "      <td>Yes</td>\n",
-       "      <td>Yes</td>\n",
-       "      <td>No</td>\n",
-       "      <td>No</td>\n",
-       "      <td>One year</td>\n",
-       "      <td>No</td>\n",
-       "      <td>Bank transfer (automatic)</td>\n",
-       "      <td>42.30</td>\n",
-       "      <td>1840.75</td>\n",
-       "      <td>No</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>4</th>\n",
-       "      <td>9237-HQITU</td>\n",
-       "      <td>Female</td>\n",
-       "      <td>0</td>\n",
-       "      <td>No</td>\n",
-       "      <td>No</td>\n",
-       "      <td>2</td>\n",
-       "      <td>Yes</td>\n",
-       "      <td>No</td>\n",
-       "      <td>Fiber optic</td>\n",
-       "      <td>No</td>\n",
-       "      <td>...</td>\n",
-       "      <td>No</td>\n",
-       "      <td>No</td>\n",
-       "      <td>No</td>\n",
-       "      <td>No</td>\n",
-       "      <td>Month-to-month</td>\n",
-       "      <td>Yes</td>\n",
-       "      <td>Electronic check</td>\n",
-       "      <td>70.70</td>\n",
-       "      <td>151.65</td>\n",
-       "      <td>Yes</td>\n",
-       "    </tr>\n",
-       "  </tbody>\n",
-       "</table>\n",
-       "<p>5 rows × 21 columns</p>\n",
-       "</div>"
-      ]
-     },
-     "execution_count": 3,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "execution_count": 3
-  },
-  {
-   "metadata": {},
-   "cell_type": "markdown",
-   "source": "### Find out is data clean",
-   "id": "d7cfdd6b8f0ca43b"
-  },
-  {
-   "metadata": {
-    "ExecuteTime": {
-     "end_time": "2025-09-21T07:51:58.209768Z",
-     "start_time": "2025-09-21T07:51:58.191441Z"
-    }
-   },
-   "cell_type": "code",
-   "source": "churn_data.info()",
-   "id": "908d8b7da652899",
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "<class 'pandas.core.frame.DataFrame'>\n",
-      "RangeIndex: 7043 entries, 0 to 7042\n",
-      "Data columns (total 21 columns):\n",
-      " #   Column            Non-Null Count  Dtype  \n",
-      "---  ------            --------------  -----  \n",
-      " 0   customerID        7043 non-null   object \n",
-      " 1   gender            7043 non-null   object \n",
-      " 2   SeniorCitizen     7043 non-null   int64  \n",
-      " 3   Partner           7043 non-null   object \n",
-      " 4   Dependents        7043 non-null   object \n",
-      " 5   tenure            7043 non-null   int64  \n",
-      " 6   PhoneService      7043 non-null   object \n",
-      " 7   MultipleLines     7043 non-null   object \n",
-      " 8   InternetService   7043 non-null   object \n",
-      " 9   OnlineSecurity    7043 non-null   object \n",
-      " 10  OnlineBackup      7043 non-null   object \n",
-      " 11  DeviceProtection  7043 non-null   object \n",
-      " 12  TechSupport       7043 non-null   object \n",
-      " 13  StreamingTV       7043 non-null   object \n",
-      " 14  StreamingMovies   7043 non-null   object \n",
-      " 15  Contract          7043 non-null   object \n",
-      " 16  PaperlessBilling  7043 non-null   object \n",
-      " 17  PaymentMethod     7043 non-null   object \n",
-      " 18  MonthlyCharges    7043 non-null   float64\n",
-      " 19  TotalCharges      7043 non-null   object \n",
-      " 20  Churn             7043 non-null   object \n",
-      "dtypes: float64(1), int64(2), object(18)\n",
-      "memory usage: 1.1+ MB\n"
-     ]
-    }
-   ],
-   "execution_count": 4
-  },
-  {
-   "metadata": {},
-   "cell_type": "markdown",
-   "source": "### Overall view of data",
-   "id": "84939b8e4889985e"
-  },
-  {
-   "metadata": {
-    "ExecuteTime": {
-     "end_time": "2025-09-21T07:51:58.234080Z",
-     "start_time": "2025-09-21T07:51:58.217847Z"
-    }
-   },
-   "cell_type": "code",
-   "source": "churn_data.describe()",
-   "id": "e52259622789d631",
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "       SeniorCitizen       tenure  MonthlyCharges\n",
-       "count    7043.000000  7043.000000     7043.000000\n",
-       "mean        0.162147    32.371149       64.761692\n",
-       "std         0.368612    24.559481       30.090047\n",
-       "min         0.000000     0.000000       18.250000\n",
-       "25%         0.000000     9.000000       35.500000\n",
-       "50%         0.000000    29.000000       70.350000\n",
-       "75%         0.000000    55.000000       89.850000\n",
-       "max         1.000000    72.000000      118.750000"
-      ],
-      "text/html": [
-       "<div>\n",
-       "<style scoped>\n",
-       "    .dataframe tbody tr th:only-of-type {\n",
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-       "    }\n",
-       "\n",
-       "    .dataframe tbody tr th {\n",
-       "        vertical-align: top;\n",
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-       "\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>SeniorCitizen</th>\n",
-       "      <th>tenure</th>\n",
-       "      <th>MonthlyCharges</th>\n",
-       "    </tr>\n",
-       "  </thead>\n",
-       "  <tbody>\n",
-       "    <tr>\n",
-       "      <th>count</th>\n",
-       "      <td>7043.000000</td>\n",
-       "      <td>7043.000000</td>\n",
-       "      <td>7043.000000</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>mean</th>\n",
-       "      <td>0.162147</td>\n",
-       "      <td>32.371149</td>\n",
-       "      <td>64.761692</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>std</th>\n",
-       "      <td>0.368612</td>\n",
-       "      <td>24.559481</td>\n",
-       "      <td>30.090047</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>min</th>\n",
-       "      <td>0.000000</td>\n",
-       "      <td>0.000000</td>\n",
-       "      <td>18.250000</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>25%</th>\n",
-       "      <td>0.000000</td>\n",
-       "      <td>9.000000</td>\n",
-       "      <td>35.500000</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>50%</th>\n",
-       "      <td>0.000000</td>\n",
-       "      <td>29.000000</td>\n",
-       "      <td>70.350000</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>75%</th>\n",
-       "      <td>0.000000</td>\n",
-       "      <td>55.000000</td>\n",
-       "      <td>89.850000</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>max</th>\n",
-       "      <td>1.000000</td>\n",
-       "      <td>72.000000</td>\n",
-       "      <td>118.750000</td>\n",
-       "    </tr>\n",
-       "  </tbody>\n",
-       "</table>\n",
-       "</div>"
-      ]
-     },
-     "execution_count": 5,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "execution_count": 5
-  },
-  {
-   "metadata": {
-    "ExecuteTime": {
-     "end_time": "2025-09-21T07:51:58.251347Z",
-     "start_time": "2025-09-21T07:51:58.245545Z"
-    }
-   },
-   "cell_type": "code",
-   "source": [
-    "# Convert churn column from yes/no to 1/0 and cast to int\n",
-    "churn_data['Churn'] = churn_data['Churn'].apply(lambda x: 1 if x == 'Yes' else 0).astype('int')"
-   ],
-   "id": "f5389a65fde53eed",
-   "outputs": [],
-   "execution_count": 6
-  },
-  {
-   "metadata": {
-    "ExecuteTime": {
-     "end_time": "2025-09-21T07:51:58.291983Z",
-     "start_time": "2025-09-21T07:51:58.272497Z"
-    }
-   },
-   "cell_type": "code",
-   "source": "churn_data.head()",
-   "id": "c03e3641e3bb4408",
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "   customerID  gender  SeniorCitizen Partner Dependents  tenure PhoneService  \\\n",
-       "0  7590-VHVEG  Female              0     Yes         No       1           No   \n",
-       "1  5575-GNVDE    Male              0      No         No      34          Yes   \n",
-       "2  3668-QPYBK    Male              0      No         No       2          Yes   \n",
-       "3  7795-CFOCW    Male              0      No         No      45           No   \n",
-       "4  9237-HQITU  Female              0      No         No       2          Yes   \n",
-       "\n",
-       "      MultipleLines InternetService OnlineSecurity  ... DeviceProtection  \\\n",
-       "0  No phone service             DSL             No  ...               No   \n",
-       "1                No             DSL            Yes  ...              Yes   \n",
-       "2                No             DSL            Yes  ...               No   \n",
-       "3  No phone service             DSL            Yes  ...              Yes   \n",
-       "4                No     Fiber optic             No  ...               No   \n",
-       "\n",
-       "  TechSupport StreamingTV StreamingMovies        Contract PaperlessBilling  \\\n",
-       "0          No          No              No  Month-to-month              Yes   \n",
-       "1          No          No              No        One year               No   \n",
-       "2          No          No              No  Month-to-month              Yes   \n",
-       "3         Yes          No              No        One year               No   \n",
-       "4          No          No              No  Month-to-month              Yes   \n",
-       "\n",
-       "               PaymentMethod MonthlyCharges  TotalCharges Churn  \n",
-       "0           Electronic check          29.85         29.85     0  \n",
-       "1               Mailed check          56.95        1889.5     0  \n",
-       "2               Mailed check          53.85        108.15     1  \n",
-       "3  Bank transfer (automatic)          42.30       1840.75     0  \n",
-       "4           Electronic check          70.70        151.65     1  \n",
-       "\n",
-       "[5 rows x 21 columns]"
-      ],
-      "text/html": [
-       "<div>\n",
-       "<style scoped>\n",
-       "    .dataframe tbody tr th:only-of-type {\n",
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-       "\n",
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-       "        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>customerID</th>\n",
-       "      <th>gender</th>\n",
-       "      <th>SeniorCitizen</th>\n",
-       "      <th>Partner</th>\n",
-       "      <th>Dependents</th>\n",
-       "      <th>tenure</th>\n",
-       "      <th>PhoneService</th>\n",
-       "      <th>MultipleLines</th>\n",
-       "      <th>InternetService</th>\n",
-       "      <th>OnlineSecurity</th>\n",
-       "      <th>...</th>\n",
-       "      <th>DeviceProtection</th>\n",
-       "      <th>TechSupport</th>\n",
-       "      <th>StreamingTV</th>\n",
-       "      <th>StreamingMovies</th>\n",
-       "      <th>Contract</th>\n",
-       "      <th>PaperlessBilling</th>\n",
-       "      <th>PaymentMethod</th>\n",
-       "      <th>MonthlyCharges</th>\n",
-       "      <th>TotalCharges</th>\n",
-       "      <th>Churn</th>\n",
-       "    </tr>\n",
-       "  </thead>\n",
-       "  <tbody>\n",
-       "    <tr>\n",
-       "      <th>0</th>\n",
-       "      <td>7590-VHVEG</td>\n",
-       "      <td>Female</td>\n",
-       "      <td>0</td>\n",
-       "      <td>Yes</td>\n",
-       "      <td>No</td>\n",
-       "      <td>1</td>\n",
-       "      <td>No</td>\n",
-       "      <td>No phone service</td>\n",
-       "      <td>DSL</td>\n",
-       "      <td>No</td>\n",
-       "      <td>...</td>\n",
-       "      <td>No</td>\n",
-       "      <td>No</td>\n",
-       "      <td>No</td>\n",
-       "      <td>No</td>\n",
-       "      <td>Month-to-month</td>\n",
-       "      <td>Yes</td>\n",
-       "      <td>Electronic check</td>\n",
-       "      <td>29.85</td>\n",
-       "      <td>29.85</td>\n",
-       "      <td>0</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>1</th>\n",
-       "      <td>5575-GNVDE</td>\n",
-       "      <td>Male</td>\n",
-       "      <td>0</td>\n",
-       "      <td>No</td>\n",
-       "      <td>No</td>\n",
-       "      <td>34</td>\n",
-       "      <td>Yes</td>\n",
-       "      <td>No</td>\n",
-       "      <td>DSL</td>\n",
-       "      <td>Yes</td>\n",
-       "      <td>...</td>\n",
-       "      <td>Yes</td>\n",
-       "      <td>No</td>\n",
-       "      <td>No</td>\n",
-       "      <td>No</td>\n",
-       "      <td>One year</td>\n",
-       "      <td>No</td>\n",
-       "      <td>Mailed check</td>\n",
-       "      <td>56.95</td>\n",
-       "      <td>1889.5</td>\n",
-       "      <td>0</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>2</th>\n",
-       "      <td>3668-QPYBK</td>\n",
-       "      <td>Male</td>\n",
-       "      <td>0</td>\n",
-       "      <td>No</td>\n",
-       "      <td>No</td>\n",
-       "      <td>2</td>\n",
-       "      <td>Yes</td>\n",
-       "      <td>No</td>\n",
-       "      <td>DSL</td>\n",
-       "      <td>Yes</td>\n",
-       "      <td>...</td>\n",
-       "      <td>No</td>\n",
-       "      <td>No</td>\n",
-       "      <td>No</td>\n",
-       "      <td>No</td>\n",
-       "      <td>Month-to-month</td>\n",
-       "      <td>Yes</td>\n",
-       "      <td>Mailed check</td>\n",
-       "      <td>53.85</td>\n",
-       "      <td>108.15</td>\n",
-       "      <td>1</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>3</th>\n",
-       "      <td>7795-CFOCW</td>\n",
-       "      <td>Male</td>\n",
-       "      <td>0</td>\n",
-       "      <td>No</td>\n",
-       "      <td>No</td>\n",
-       "      <td>45</td>\n",
-       "      <td>No</td>\n",
-       "      <td>No phone service</td>\n",
-       "      <td>DSL</td>\n",
-       "      <td>Yes</td>\n",
-       "      <td>...</td>\n",
-       "      <td>Yes</td>\n",
-       "      <td>Yes</td>\n",
-       "      <td>No</td>\n",
-       "      <td>No</td>\n",
-       "      <td>One year</td>\n",
-       "      <td>No</td>\n",
-       "      <td>Bank transfer (automatic)</td>\n",
-       "      <td>42.30</td>\n",
-       "      <td>1840.75</td>\n",
-       "      <td>0</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>4</th>\n",
-       "      <td>9237-HQITU</td>\n",
-       "      <td>Female</td>\n",
-       "      <td>0</td>\n",
-       "      <td>No</td>\n",
-       "      <td>No</td>\n",
-       "      <td>2</td>\n",
-       "      <td>Yes</td>\n",
-       "      <td>No</td>\n",
-       "      <td>Fiber optic</td>\n",
-       "      <td>No</td>\n",
-       "      <td>...</td>\n",
-       "      <td>No</td>\n",
-       "      <td>No</td>\n",
-       "      <td>No</td>\n",
-       "      <td>No</td>\n",
-       "      <td>Month-to-month</td>\n",
-       "      <td>Yes</td>\n",
-       "      <td>Electronic check</td>\n",
-       "      <td>70.70</td>\n",
-       "      <td>151.65</td>\n",
-       "      <td>1</td>\n",
-       "    </tr>\n",
-       "  </tbody>\n",
-       "</table>\n",
-       "<p>5 rows × 21 columns</p>\n",
-       "</div>"
-      ]
-     },
-     "execution_count": 7,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "execution_count": 7
-  },
-  {
-   "metadata": {},
-   "cell_type": "markdown",
-   "source": "### convert categorical columns to 0,1 pattern",
-   "id": "d66c3bef301ac592"
-  },
-  {
-   "metadata": {
-    "ExecuteTime": {
-     "end_time": "2025-09-21T07:51:58.316188Z",
-     "start_time": "2025-09-21T07:51:58.309014Z"
-    }
-   },
-   "cell_type": "code",
-   "source": "churn_data.drop('customerID', axis=1,inplace=True)",
-   "id": "bbe521ebd5d0e342",
-   "outputs": [],
-   "execution_count": 8
-  },
-  {
-   "metadata": {
-    "ExecuteTime": {
-     "end_time": "2025-09-21T07:51:59.379105Z",
-     "start_time": "2025-09-21T07:51:58.327535Z"
-    }
-   },
-   "cell_type": "code",
-   "source": [
-    "from sklearn.preprocessing import LabelEncoder\n",
-    "\n",
-    "# Get categorical columns\n",
-    "categorical_cols = churn_data.select_dtypes(include=['object']).columns\n",
-    "\n",
-    "# Apply label encoding to all categorical columns\n",
-    "for col in categorical_cols:\n",
-    "    le = LabelEncoder()\n",
-    "    churn_data[col] = le.fit_transform(churn_data[col])\n",
-    "\n"
-   ],
-   "id": "716cc9d0ba146c58",
-   "outputs": [],
-   "execution_count": 9
-  },
-  {
-   "metadata": {
-    "ExecuteTime": {
-     "end_time": "2025-09-21T07:51:59.401377Z",
-     "start_time": "2025-09-21T07:51:59.389452Z"
-    }
-   },
-   "cell_type": "code",
-   "source": "churn_data.head()",
-   "id": "56b33b787138b343",
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "   gender  SeniorCitizen  Partner  Dependents  tenure  PhoneService  \\\n",
-       "0       0              0        1           0       1             0   \n",
-       "1       1              0        0           0      34             1   \n",
-       "2       1              0        0           0       2             1   \n",
-       "3       1              0        0           0      45             0   \n",
-       "4       0              0        0           0       2             1   \n",
-       "\n",
-       "   MultipleLines  InternetService  OnlineSecurity  OnlineBackup  \\\n",
-       "0              1                0               0             2   \n",
-       "1              0                0               2             0   \n",
-       "2              0                0               2             2   \n",
-       "3              1                0               2             0   \n",
-       "4              0                1               0             0   \n",
-       "\n",
-       "   DeviceProtection  TechSupport  StreamingTV  StreamingMovies  Contract  \\\n",
-       "0                 0            0            0                0         0   \n",
-       "1                 2            0            0                0         1   \n",
-       "2                 0            0            0                0         0   \n",
-       "3                 2            2            0                0         1   \n",
-       "4                 0            0            0                0         0   \n",
-       "\n",
-       "   PaperlessBilling  PaymentMethod  MonthlyCharges  TotalCharges  Churn  \n",
-       "0                 1              2           29.85          2505      0  \n",
-       "1                 0              3           56.95          1466      0  \n",
-       "2                 1              3           53.85           157      1  \n",
-       "3                 0              0           42.30          1400      0  \n",
-       "4                 1              2           70.70           925      1  "
-      ],
-      "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>gender</th>\n",
-       "      <th>SeniorCitizen</th>\n",
-       "      <th>Partner</th>\n",
-       "      <th>Dependents</th>\n",
-       "      <th>tenure</th>\n",
-       "      <th>PhoneService</th>\n",
-       "      <th>MultipleLines</th>\n",
-       "      <th>InternetService</th>\n",
-       "      <th>OnlineSecurity</th>\n",
-       "      <th>OnlineBackup</th>\n",
-       "      <th>DeviceProtection</th>\n",
-       "      <th>TechSupport</th>\n",
-       "      <th>StreamingTV</th>\n",
-       "      <th>StreamingMovies</th>\n",
-       "      <th>Contract</th>\n",
-       "      <th>PaperlessBilling</th>\n",
-       "      <th>PaymentMethod</th>\n",
-       "      <th>MonthlyCharges</th>\n",
-       "      <th>TotalCharges</th>\n",
-       "      <th>Churn</th>\n",
-       "    </tr>\n",
-       "  </thead>\n",
-       "  <tbody>\n",
-       "    <tr>\n",
-       "      <th>0</th>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>1</td>\n",
-       "      <td>0</td>\n",
-       "      <td>1</td>\n",
-       "      <td>0</td>\n",
-       "      <td>1</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>2</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>1</td>\n",
-       "      <td>2</td>\n",
-       "      <td>29.85</td>\n",
-       "      <td>2505</td>\n",
-       "      <td>0</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>1</th>\n",
-       "      <td>1</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>34</td>\n",
-       "      <td>1</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>2</td>\n",
-       "      <td>0</td>\n",
-       "      <td>2</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>1</td>\n",
-       "      <td>0</td>\n",
-       "      <td>3</td>\n",
-       "      <td>56.95</td>\n",
-       "      <td>1466</td>\n",
-       "      <td>0</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>2</th>\n",
-       "      <td>1</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>2</td>\n",
-       "      <td>1</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>2</td>\n",
-       "      <td>2</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>1</td>\n",
-       "      <td>3</td>\n",
-       "      <td>53.85</td>\n",
-       "      <td>157</td>\n",
-       "      <td>1</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>3</th>\n",
-       "      <td>1</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>45</td>\n",
-       "      <td>0</td>\n",
-       "      <td>1</td>\n",
-       "      <td>0</td>\n",
-       "      <td>2</td>\n",
-       "      <td>0</td>\n",
-       "      <td>2</td>\n",
-       "      <td>2</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>1</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>42.30</td>\n",
-       "      <td>1400</td>\n",
-       "      <td>0</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>4</th>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>2</td>\n",
-       "      <td>1</td>\n",
-       "      <td>0</td>\n",
-       "      <td>1</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>1</td>\n",
-       "      <td>2</td>\n",
-       "      <td>70.70</td>\n",
-       "      <td>925</td>\n",
-       "      <td>1</td>\n",
-       "    </tr>\n",
-       "  </tbody>\n",
-       "</table>\n",
-       "</div>"
-      ]
-     },
-     "execution_count": 10,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "execution_count": 10
-  },
-  {
-   "metadata": {
-    "ExecuteTime": {
-     "end_time": "2025-09-21T07:51:59.438612Z",
-     "start_time": "2025-09-21T07:51:59.422336Z"
-    }
-   },
-   "cell_type": "code",
-   "source": "churn_data.corr()['Churn']",
-   "id": "b81d6c63c92d6d47",
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "gender             -0.008612\n",
-       "SeniorCitizen       0.150889\n",
-       "Partner            -0.150448\n",
-       "Dependents         -0.164221\n",
-       "tenure             -0.352229\n",
-       "PhoneService        0.011942\n",
-       "MultipleLines       0.038037\n",
-       "InternetService    -0.047291\n",
-       "OnlineSecurity     -0.289309\n",
-       "OnlineBackup       -0.195525\n",
-       "DeviceProtection   -0.178134\n",
-       "TechSupport        -0.282492\n",
-       "StreamingTV        -0.036581\n",
-       "StreamingMovies    -0.038492\n",
-       "Contract           -0.396713\n",
-       "PaperlessBilling    0.191825\n",
-       "PaymentMethod       0.107062\n",
-       "MonthlyCharges      0.193356\n",
-       "TotalCharges        0.014479\n",
-       "Churn               1.000000\n",
-       "Name: Churn, dtype: float64"
-      ]
-     },
-     "execution_count": 11,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "execution_count": 11
-  },
-  {
-   "metadata": {},
-   "cell_type": "markdown",
-   "source": [
-    "#### 1).Contract type is your strongest predictor - focus on getting customers into longer contracts\n",
-    "#### 2).Add-on services (OnlineSecurity, TechSupport, OnlineBackup) significantly reduce churn\n",
-    "#### 3).Monthly charges matter - higher prices increase churn risk\n",
-    "#### 4).Services like StreamingTV/Movies have minimal impact on churn"
-   ],
-   "id": "d9e0a8f16c87a702"
-  },
-  {
-   "metadata": {},
-   "cell_type": "markdown",
-   "source": "## best_features are ['Contract', 'OnlineSecurity', 'TechSupport', 'MonthlyCharges','PaperlessBilling', 'OnlineBackup', 'DeviceProtection']",
-   "id": "ffb488811796db2"
-  },
-  {
-   "metadata": {
-    "ExecuteTime": {
-     "end_time": "2025-09-21T07:51:59.452206Z",
-     "start_time": "2025-09-21T07:51:59.448874Z"
-    }
-   },
-   "cell_type": "code",
-   "source": [
-    "best_features = ['Contract', 'OnlineSecurity', 'TechSupport', 'MonthlyCharges',\n",
-    "                 'PaperlessBilling', 'OnlineBackup', 'DeviceProtection']"
-   ],
-   "id": "202e86d9a1fe9c7",
-   "outputs": [],
-   "execution_count": 12
-  },
-  {
-   "metadata": {},
-   "cell_type": "markdown",
-   "source": "#### Splittted dataset with like target and other columns",
-   "id": "3c8bc4c2b7433c91"
-  },
-  {
-   "metadata": {
-    "ExecuteTime": {
-     "end_time": "2025-09-21T07:51:59.478052Z",
-     "start_time": "2025-09-21T07:51:59.470533Z"
-    }
-   },
-   "cell_type": "code",
-   "source": [
-    "X = churn_data.drop(['Churn'], axis=1)  # Drop target\n",
-    "y = churn_data['Churn']\n",
-    "\n",
-    "# 2. Check shapes\n",
-    "print(f\"Feature matrix shape: {X.shape}\")\n",
-    "print(f\"Target vector shape: {y.shape}\")"
-   ],
-   "id": "70692bf39df01132",
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "Feature matrix shape: (7043, 19)\n",
-      "Target vector shape: (7043,)\n"
-     ]
-    }
-   ],
-   "execution_count": 13
-  },
-  {
-   "metadata": {
-    "ExecuteTime": {
-     "end_time": "2025-09-21T07:51:59.630037Z",
-     "start_time": "2025-09-21T07:51:59.499063Z"
-    }
-   },
-   "cell_type": "code",
-   "source": [
-    "from sklearn.model_selection import train_test_split\n",
-    "\n",
-    "X_train, X_test, y_train, y_test = train_test_split(\n",
-    "    X, y,\n",
-    "    test_size=0.2,      # 20% for testing, 80% for training\n",
-    "    random_state=42     # For reproducible results\n",
-    ")"
-   ],
-   "id": "a08b36c5bab72e00",
-   "outputs": [],
-   "execution_count": 14
-  },
-  {
-   "metadata": {
-    "ExecuteTime": {
-     "end_time": "2025-09-21T07:51:59.876045Z",
-     "start_time": "2025-09-21T07:51:59.639683Z"
-    }
-   },
-   "cell_type": "code",
-   "source": [
-    "from sklearn.linear_model import LogisticRegression\n",
-    "# Create and train the model\n",
-    "# model = LogisticRegression()\n",
-    "model = LogisticRegression(class_weight='balanced')\n",
-    "model.fit(X_train, y_train)\n"
-   ],
-   "id": "a9a1b7354e2a3cbe",
-   "outputs": [
-    {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "C:\\Users\\281879\\Documents\\AI\\week_1_assaingmnets\\.venv\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:473: ConvergenceWarning: lbfgs failed to converge after 100 iteration(s) (status=1):\n",
-      "STOP: TOTAL NO. OF ITERATIONS REACHED LIMIT\n",
-      "\n",
-      "Increase the number of iterations to improve the convergence (max_iter=100).\n",
-      "You might also want to scale the data as shown in:\n",
-      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
-      "Please also refer to the documentation for alternative solver options:\n",
-      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
-      "  n_iter_i = _check_optimize_result(\n"
-     ]
-    },
-    {
-     "data": {
-      "text/plain": [
-       "LogisticRegression(class_weight='balanced')"
-      ],
-      "text/html": [
-       "<style>#sk-container-id-1 {\n",
-       "  /* Definition of color scheme common for light and dark mode */\n",
-       "  --sklearn-color-text: #000;\n",
-       "  --sklearn-color-text-muted: #666;\n",
-       "  --sklearn-color-line: gray;\n",
-       "  /* Definition of color scheme for unfitted estimators */\n",
-       "  --sklearn-color-unfitted-level-0: #fff5e6;\n",
-       "  --sklearn-color-unfitted-level-1: #f6e4d2;\n",
-       "  --sklearn-color-unfitted-level-2: #ffe0b3;\n",
-       "  --sklearn-color-unfitted-level-3: chocolate;\n",
-       "  /* Definition of color scheme for fitted estimators */\n",
-       "  --sklearn-color-fitted-level-0: #f0f8ff;\n",
-       "  --sklearn-color-fitted-level-1: #d4ebff;\n",
-       "  --sklearn-color-fitted-level-2: #b3dbfd;\n",
-       "  --sklearn-color-fitted-level-3: cornflowerblue;\n",
-       "\n",
-       "  /* Specific color for light theme */\n",
-       "  --sklearn-color-text-on-default-background: var(--sg-text-color, var(--theme-code-foreground, var(--jp-content-font-color1, black)));\n",
-       "  --sklearn-color-background: var(--sg-background-color, var(--theme-background, var(--jp-layout-color0, white)));\n",
-       "  --sklearn-color-border-box: var(--sg-text-color, var(--theme-code-foreground, var(--jp-content-font-color1, black)));\n",
-       "  --sklearn-color-icon: #696969;\n",
-       "\n",
-       "  @media (prefers-color-scheme: dark) {\n",
-       "    /* Redefinition of color scheme for dark theme */\n",
-       "    --sklearn-color-text-on-default-background: var(--sg-text-color, var(--theme-code-foreground, var(--jp-content-font-color1, white)));\n",
-       "    --sklearn-color-background: var(--sg-background-color, var(--theme-background, var(--jp-layout-color0, #111)));\n",
-       "    --sklearn-color-border-box: var(--sg-text-color, var(--theme-code-foreground, var(--jp-content-font-color1, white)));\n",
-       "    --sklearn-color-icon: #878787;\n",
-       "  }\n",
-       "}\n",
-       "\n",
-       "#sk-container-id-1 {\n",
-       "  color: var(--sklearn-color-text);\n",
-       "}\n",
-       "\n",
-       "#sk-container-id-1 pre {\n",
-       "  padding: 0;\n",
-       "}\n",
-       "\n",
-       "#sk-container-id-1 input.sk-hidden--visually {\n",
-       "  border: 0;\n",
-       "  clip: rect(1px 1px 1px 1px);\n",
-       "  clip: rect(1px, 1px, 1px, 1px);\n",
-       "  height: 1px;\n",
-       "  margin: -1px;\n",
-       "  overflow: hidden;\n",
-       "  padding: 0;\n",
-       "  position: absolute;\n",
-       "  width: 1px;\n",
-       "}\n",
-       "\n",
-       "#sk-container-id-1 div.sk-dashed-wrapped {\n",
-       "  border: 1px dashed var(--sklearn-color-line);\n",
-       "  margin: 0 0.4em 0.5em 0.4em;\n",
-       "  box-sizing: border-box;\n",
-       "  padding-bottom: 0.4em;\n",
-       "  background-color: var(--sklearn-color-background);\n",
-       "}\n",
-       "\n",
-       "#sk-container-id-1 div.sk-container {\n",
-       "  /* jupyter's `normalize.less` sets `[hidden] { display: none; }`\n",
-       "     but bootstrap.min.css set `[hidden] { display: none !important; }`\n",
-       "     so we also need the `!important` here to be able to override the\n",
-       "     default hidden behavior on the sphinx rendered scikit-learn.org.\n",
-       "     See: https://github.com/scikit-learn/scikit-learn/issues/21755 */\n",
-       "  display: inline-block !important;\n",
-       "  position: relative;\n",
-       "}\n",
-       "\n",
-       "#sk-container-id-1 div.sk-text-repr-fallback {\n",
-       "  display: none;\n",
-       "}\n",
-       "\n",
-       "div.sk-parallel-item,\n",
-       "div.sk-serial,\n",
-       "div.sk-item {\n",
-       "  /* draw centered vertical line to link estimators */\n",
-       "  background-image: linear-gradient(var(--sklearn-color-text-on-default-background), var(--sklearn-color-text-on-default-background));\n",
-       "  background-size: 2px 100%;\n",
-       "  background-repeat: no-repeat;\n",
-       "  background-position: center center;\n",
-       "}\n",
-       "\n",
-       "/* Parallel-specific style estimator block */\n",
-       "\n",
-       "#sk-container-id-1 div.sk-parallel-item::after {\n",
-       "  content: \"\";\n",
-       "  width: 100%;\n",
-       "  border-bottom: 2px solid var(--sklearn-color-text-on-default-background);\n",
-       "  flex-grow: 1;\n",
-       "}\n",
-       "\n",
-       "#sk-container-id-1 div.sk-parallel {\n",
-       "  display: flex;\n",
-       "  align-items: stretch;\n",
-       "  justify-content: center;\n",
-       "  background-color: var(--sklearn-color-background);\n",
-       "  position: relative;\n",
-       "}\n",
-       "\n",
-       "#sk-container-id-1 div.sk-parallel-item {\n",
-       "  display: flex;\n",
-       "  flex-direction: column;\n",
-       "}\n",
-       "\n",
-       "#sk-container-id-1 div.sk-parallel-item:first-child::after {\n",
-       "  align-self: flex-end;\n",
-       "  width: 50%;\n",
-       "}\n",
-       "\n",
-       "#sk-container-id-1 div.sk-parallel-item:last-child::after {\n",
-       "  align-self: flex-start;\n",
-       "  width: 50%;\n",
-       "}\n",
-       "\n",
-       "#sk-container-id-1 div.sk-parallel-item:only-child::after {\n",
-       "  width: 0;\n",
-       "}\n",
-       "\n",
-       "/* Serial-specific style estimator block */\n",
-       "\n",
-       "#sk-container-id-1 div.sk-serial {\n",
-       "  display: flex;\n",
-       "  flex-direction: column;\n",
-       "  align-items: center;\n",
-       "  background-color: var(--sklearn-color-background);\n",
-       "  padding-right: 1em;\n",
-       "  padding-left: 1em;\n",
-       "}\n",
-       "\n",
-       "\n",
-       "/* Toggleable style: style used for estimator/Pipeline/ColumnTransformer box that is\n",
-       "clickable and can be expanded/collapsed.\n",
-       "- Pipeline and ColumnTransformer use this feature and define the default style\n",
-       "- Estimators will overwrite some part of the style using the `sk-estimator` class\n",
-       "*/\n",
-       "\n",
-       "/* Pipeline and ColumnTransformer style (default) */\n",
-       "\n",
-       "#sk-container-id-1 div.sk-toggleable {\n",
-       "  /* Default theme specific background. It is overwritten whether we have a\n",
-       "  specific estimator or a Pipeline/ColumnTransformer */\n",
-       "  background-color: var(--sklearn-color-background);\n",
-       "}\n",
-       "\n",
-       "/* Toggleable label */\n",
-       "#sk-container-id-1 label.sk-toggleable__label {\n",
-       "  cursor: pointer;\n",
-       "  display: flex;\n",
-       "  width: 100%;\n",
-       "  margin-bottom: 0;\n",
-       "  padding: 0.5em;\n",
-       "  box-sizing: border-box;\n",
-       "  text-align: center;\n",
-       "  align-items: start;\n",
-       "  justify-content: space-between;\n",
-       "  gap: 0.5em;\n",
-       "}\n",
-       "\n",
-       "#sk-container-id-1 label.sk-toggleable__label .caption {\n",
-       "  font-size: 0.6rem;\n",
-       "  font-weight: lighter;\n",
-       "  color: var(--sklearn-color-text-muted);\n",
-       "}\n",
-       "\n",
-       "#sk-container-id-1 label.sk-toggleable__label-arrow:before {\n",
-       "  /* Arrow on the left of the label */\n",
-       "  content: \"▸\";\n",
-       "  float: left;\n",
-       "  margin-right: 0.25em;\n",
-       "  color: var(--sklearn-color-icon);\n",
-       "}\n",
-       "\n",
-       "#sk-container-id-1 label.sk-toggleable__label-arrow:hover:before {\n",
-       "  color: var(--sklearn-color-text);\n",
-       "}\n",
-       "\n",
-       "/* Toggleable content - dropdown */\n",
-       "\n",
-       "#sk-container-id-1 div.sk-toggleable__content {\n",
-       "  display: none;\n",
-       "  text-align: left;\n",
-       "  /* unfitted */\n",
-       "  background-color: var(--sklearn-color-unfitted-level-0);\n",
-       "}\n",
-       "\n",
-       "#sk-container-id-1 div.sk-toggleable__content.fitted {\n",
-       "  /* fitted */\n",
-       "  background-color: var(--sklearn-color-fitted-level-0);\n",
-       "}\n",
-       "\n",
-       "#sk-container-id-1 div.sk-toggleable__content pre {\n",
-       "  margin: 0.2em;\n",
-       "  border-radius: 0.25em;\n",
-       "  color: var(--sklearn-color-text);\n",
-       "  /* unfitted */\n",
-       "  background-color: var(--sklearn-color-unfitted-level-0);\n",
-       "}\n",
-       "\n",
-       "#sk-container-id-1 div.sk-toggleable__content.fitted pre {\n",
-       "  /* unfitted */\n",
-       "  background-color: var(--sklearn-color-fitted-level-0);\n",
-       "}\n",
-       "\n",
-       "#sk-container-id-1 input.sk-toggleable__control:checked~div.sk-toggleable__content {\n",
-       "  /* Expand drop-down */\n",
-       "  display: block;\n",
-       "  width: 100%;\n",
-       "  overflow: visible;\n",
-       "}\n",
-       "\n",
-       "#sk-container-id-1 input.sk-toggleable__control:checked~label.sk-toggleable__label-arrow:before {\n",
-       "  content: \"▾\";\n",
-       "}\n",
-       "\n",
-       "/* Pipeline/ColumnTransformer-specific style */\n",
-       "\n",
-       "#sk-container-id-1 div.sk-label input.sk-toggleable__control:checked~label.sk-toggleable__label {\n",
-       "  color: var(--sklearn-color-text);\n",
-       "  background-color: var(--sklearn-color-unfitted-level-2);\n",
-       "}\n",
-       "\n",
-       "#sk-container-id-1 div.sk-label.fitted input.sk-toggleable__control:checked~label.sk-toggleable__label {\n",
-       "  background-color: var(--sklearn-color-fitted-level-2);\n",
-       "}\n",
-       "\n",
-       "/* Estimator-specific style */\n",
-       "\n",
-       "/* Colorize estimator box */\n",
-       "#sk-container-id-1 div.sk-estimator input.sk-toggleable__control:checked~label.sk-toggleable__label {\n",
-       "  /* unfitted */\n",
-       "  background-color: var(--sklearn-color-unfitted-level-2);\n",
-       "}\n",
-       "\n",
-       "#sk-container-id-1 div.sk-estimator.fitted input.sk-toggleable__control:checked~label.sk-toggleable__label {\n",
-       "  /* fitted */\n",
-       "  background-color: var(--sklearn-color-fitted-level-2);\n",
-       "}\n",
-       "\n",
-       "#sk-container-id-1 div.sk-label label.sk-toggleable__label,\n",
-       "#sk-container-id-1 div.sk-label label {\n",
-       "  /* The background is the default theme color */\n",
-       "  color: var(--sklearn-color-text-on-default-background);\n",
-       "}\n",
-       "\n",
-       "/* On hover, darken the color of the background */\n",
-       "#sk-container-id-1 div.sk-label:hover label.sk-toggleable__label {\n",
-       "  color: var(--sklearn-color-text);\n",
-       "  background-color: var(--sklearn-color-unfitted-level-2);\n",
-       "}\n",
-       "\n",
-       "/* Label box, darken color on hover, fitted */\n",
-       "#sk-container-id-1 div.sk-label.fitted:hover label.sk-toggleable__label.fitted {\n",
-       "  color: var(--sklearn-color-text);\n",
-       "  background-color: var(--sklearn-color-fitted-level-2);\n",
-       "}\n",
-       "\n",
-       "/* Estimator label */\n",
-       "\n",
-       "#sk-container-id-1 div.sk-label label {\n",
-       "  font-family: monospace;\n",
-       "  font-weight: bold;\n",
-       "  display: inline-block;\n",
-       "  line-height: 1.2em;\n",
-       "}\n",
-       "\n",
-       "#sk-container-id-1 div.sk-label-container {\n",
-       "  text-align: center;\n",
-       "}\n",
-       "\n",
-       "/* Estimator-specific */\n",
-       "#sk-container-id-1 div.sk-estimator {\n",
-       "  font-family: monospace;\n",
-       "  border: 1px dotted var(--sklearn-color-border-box);\n",
-       "  border-radius: 0.25em;\n",
-       "  box-sizing: border-box;\n",
-       "  margin-bottom: 0.5em;\n",
-       "  /* unfitted */\n",
-       "  background-color: var(--sklearn-color-unfitted-level-0);\n",
-       "}\n",
-       "\n",
-       "#sk-container-id-1 div.sk-estimator.fitted {\n",
-       "  /* fitted */\n",
-       "  background-color: var(--sklearn-color-fitted-level-0);\n",
-       "}\n",
-       "\n",
-       "/* on hover */\n",
-       "#sk-container-id-1 div.sk-estimator:hover {\n",
-       "  /* unfitted */\n",
-       "  background-color: var(--sklearn-color-unfitted-level-2);\n",
-       "}\n",
-       "\n",
-       "#sk-container-id-1 div.sk-estimator.fitted:hover {\n",
-       "  /* fitted */\n",
-       "  background-color: var(--sklearn-color-fitted-level-2);\n",
-       "}\n",
-       "\n",
-       "/* Specification for estimator info (e.g. \"i\" and \"?\") */\n",
-       "\n",
-       "/* Common style for \"i\" and \"?\" */\n",
-       "\n",
-       ".sk-estimator-doc-link,\n",
-       "a:link.sk-estimator-doc-link,\n",
-       "a:visited.sk-estimator-doc-link {\n",
-       "  float: right;\n",
-       "  font-size: smaller;\n",
-       "  line-height: 1em;\n",
-       "  font-family: monospace;\n",
-       "  background-color: var(--sklearn-color-background);\n",
-       "  border-radius: 1em;\n",
-       "  height: 1em;\n",
-       "  width: 1em;\n",
-       "  text-decoration: none !important;\n",
-       "  margin-left: 0.5em;\n",
-       "  text-align: center;\n",
-       "  /* unfitted */\n",
-       "  border: var(--sklearn-color-unfitted-level-1) 1pt solid;\n",
-       "  color: var(--sklearn-color-unfitted-level-1);\n",
-       "}\n",
-       "\n",
-       ".sk-estimator-doc-link.fitted,\n",
-       "a:link.sk-estimator-doc-link.fitted,\n",
-       "a:visited.sk-estimator-doc-link.fitted {\n",
-       "  /* fitted */\n",
-       "  border: var(--sklearn-color-fitted-level-1) 1pt solid;\n",
-       "  color: var(--sklearn-color-fitted-level-1);\n",
-       "}\n",
-       "\n",
-       "/* On hover */\n",
-       "div.sk-estimator:hover .sk-estimator-doc-link:hover,\n",
-       ".sk-estimator-doc-link:hover,\n",
-       "div.sk-label-container:hover .sk-estimator-doc-link:hover,\n",
-       ".sk-estimator-doc-link:hover {\n",
-       "  /* unfitted */\n",
-       "  background-color: var(--sklearn-color-unfitted-level-3);\n",
-       "  color: var(--sklearn-color-background);\n",
-       "  text-decoration: none;\n",
-       "}\n",
-       "\n",
-       "div.sk-estimator.fitted:hover .sk-estimator-doc-link.fitted:hover,\n",
-       ".sk-estimator-doc-link.fitted:hover,\n",
-       "div.sk-label-container:hover .sk-estimator-doc-link.fitted:hover,\n",
-       ".sk-estimator-doc-link.fitted:hover {\n",
-       "  /* fitted */\n",
-       "  background-color: var(--sklearn-color-fitted-level-3);\n",
-       "  color: var(--sklearn-color-background);\n",
-       "  text-decoration: none;\n",
-       "}\n",
-       "\n",
-       "/* Span, style for the box shown on hovering the info icon */\n",
-       ".sk-estimator-doc-link span {\n",
-       "  display: none;\n",
-       "  z-index: 9999;\n",
-       "  position: relative;\n",
-       "  font-weight: normal;\n",
-       "  right: .2ex;\n",
-       "  padding: .5ex;\n",
-       "  margin: .5ex;\n",
-       "  width: min-content;\n",
-       "  min-width: 20ex;\n",
-       "  max-width: 50ex;\n",
-       "  color: var(--sklearn-color-text);\n",
-       "  box-shadow: 2pt 2pt 4pt #999;\n",
-       "  /* unfitted */\n",
-       "  background: var(--sklearn-color-unfitted-level-0);\n",
-       "  border: .5pt solid var(--sklearn-color-unfitted-level-3);\n",
-       "}\n",
-       "\n",
-       ".sk-estimator-doc-link.fitted span {\n",
-       "  /* fitted */\n",
-       "  background: var(--sklearn-color-fitted-level-0);\n",
-       "  border: var(--sklearn-color-fitted-level-3);\n",
-       "}\n",
-       "\n",
-       ".sk-estimator-doc-link:hover span {\n",
-       "  display: block;\n",
-       "}\n",
-       "\n",
-       "/* \"?\"-specific style due to the `<a>` HTML tag */\n",
-       "\n",
-       "#sk-container-id-1 a.estimator_doc_link {\n",
-       "  float: right;\n",
-       "  font-size: 1rem;\n",
-       "  line-height: 1em;\n",
-       "  font-family: monospace;\n",
-       "  background-color: var(--sklearn-color-background);\n",
-       "  border-radius: 1rem;\n",
-       "  height: 1rem;\n",
-       "  width: 1rem;\n",
-       "  text-decoration: none;\n",
-       "  /* unfitted */\n",
-       "  color: var(--sklearn-color-unfitted-level-1);\n",
-       "  border: var(--sklearn-color-unfitted-level-1) 1pt solid;\n",
-       "}\n",
-       "\n",
-       "#sk-container-id-1 a.estimator_doc_link.fitted {\n",
-       "  /* fitted */\n",
-       "  border: var(--sklearn-color-fitted-level-1) 1pt solid;\n",
-       "  color: var(--sklearn-color-fitted-level-1);\n",
-       "}\n",
-       "\n",
-       "/* On hover */\n",
-       "#sk-container-id-1 a.estimator_doc_link:hover {\n",
-       "  /* unfitted */\n",
-       "  background-color: var(--sklearn-color-unfitted-level-3);\n",
-       "  color: var(--sklearn-color-background);\n",
-       "  text-decoration: none;\n",
-       "}\n",
-       "\n",
-       "#sk-container-id-1 a.estimator_doc_link.fitted:hover {\n",
-       "  /* fitted */\n",
-       "  background-color: var(--sklearn-color-fitted-level-3);\n",
-       "}\n",
-       "\n",
-       ".estimator-table summary {\n",
-       "    padding: .5rem;\n",
-       "    font-family: monospace;\n",
-       "    cursor: pointer;\n",
-       "}\n",
-       "\n",
-       ".estimator-table details[open] {\n",
-       "    padding-left: 0.1rem;\n",
-       "    padding-right: 0.1rem;\n",
-       "    padding-bottom: 0.3rem;\n",
-       "}\n",
-       "\n",
-       ".estimator-table .parameters-table {\n",
-       "    margin-left: auto !important;\n",
-       "    margin-right: auto !important;\n",
-       "}\n",
-       "\n",
-       ".estimator-table .parameters-table tr:nth-child(odd) {\n",
-       "    background-color: #fff;\n",
-       "}\n",
-       "\n",
-       ".estimator-table .parameters-table tr:nth-child(even) {\n",
-       "    background-color: #f6f6f6;\n",
-       "}\n",
-       "\n",
-       ".estimator-table .parameters-table tr:hover {\n",
-       "    background-color: #e0e0e0;\n",
-       "}\n",
-       "\n",
-       ".estimator-table table td {\n",
-       "    border: 1px solid rgba(106, 105, 104, 0.232);\n",
-       "}\n",
-       "\n",
-       ".user-set td {\n",
-       "    color:rgb(255, 94, 0);\n",
-       "    text-align: left;\n",
-       "}\n",
-       "\n",
-       ".user-set td.value pre {\n",
-       "    color:rgb(255, 94, 0) !important;\n",
-       "    background-color: transparent !important;\n",
-       "}\n",
-       "\n",
-       ".default td {\n",
-       "    color: black;\n",
-       "    text-align: left;\n",
-       "}\n",
-       "\n",
-       ".user-set td i,\n",
-       ".default td i {\n",
-       "    color: black;\n",
-       "}\n",
-       "\n",
-       ".copy-paste-icon {\n",
-       "    background-image: url(data:image/svg+xml;base64,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);\n",
-       "    background-repeat: no-repeat;\n",
-       "    background-size: 14px 14px;\n",
-       "    background-position: 0;\n",
-       "    display: inline-block;\n",
-       "    width: 14px;\n",
-       "    height: 14px;\n",
-       "    cursor: pointer;\n",
-       "}\n",
-       "</style><body><div id=\"sk-container-id-1\" class=\"sk-top-container\"><div class=\"sk-text-repr-fallback\"><pre>LogisticRegression(class_weight=&#x27;balanced&#x27;)</pre><b>In a Jupyter environment, please rerun this cell to show the HTML representation or trust the notebook. <br />On GitHub, the HTML representation is unable to render, please try loading this page with nbviewer.org.</b></div><div class=\"sk-container\" hidden><div class=\"sk-item\"><div class=\"sk-estimator fitted sk-toggleable\"><input class=\"sk-toggleable__control sk-hidden--visually\" id=\"sk-estimator-id-1\" type=\"checkbox\" checked><label for=\"sk-estimator-id-1\" class=\"sk-toggleable__label fitted sk-toggleable__label-arrow\"><div><div>LogisticRegression</div></div><div><a class=\"sk-estimator-doc-link fitted\" rel=\"noreferrer\" target=\"_blank\" href=\"https://scikit-learn.org/1.7/modules/generated/sklearn.linear_model.LogisticRegression.html\">?<span>Documentation for LogisticRegression</span></a><span class=\"sk-estimator-doc-link fitted\">i<span>Fitted</span></span></div></label><div class=\"sk-toggleable__content fitted\" data-param-prefix=\"\">\n",
-       "        <div class=\"estimator-table\">\n",
-       "            <details>\n",
-       "                <summary>Parameters</summary>\n",
-       "                <table class=\"parameters-table\">\n",
-       "                  <tbody>\n",
-       "                    \n",
-       "        <tr class=\"default\">\n",
-       "            <td><i class=\"copy-paste-icon\"\n",
-       "                 onclick=\"copyToClipboard('penalty',\n",
-       "                          this.parentElement.nextElementSibling)\"\n",
-       "            ></i></td>\n",
-       "            <td class=\"param\">penalty&nbsp;</td>\n",
-       "            <td class=\"value\">&#x27;l2&#x27;</td>\n",
-       "        </tr>\n",
-       "    \n",
-       "\n",
-       "        <tr class=\"default\">\n",
-       "            <td><i class=\"copy-paste-icon\"\n",
-       "                 onclick=\"copyToClipboard('dual',\n",
-       "                          this.parentElement.nextElementSibling)\"\n",
-       "            ></i></td>\n",
-       "            <td class=\"param\">dual&nbsp;</td>\n",
-       "            <td class=\"value\">False</td>\n",
-       "        </tr>\n",
-       "    \n",
-       "\n",
-       "        <tr class=\"default\">\n",
-       "            <td><i class=\"copy-paste-icon\"\n",
-       "                 onclick=\"copyToClipboard('tol',\n",
-       "                          this.parentElement.nextElementSibling)\"\n",
-       "            ></i></td>\n",
-       "            <td class=\"param\">tol&nbsp;</td>\n",
-       "            <td class=\"value\">0.0001</td>\n",
-       "        </tr>\n",
-       "    \n",
-       "\n",
-       "        <tr class=\"default\">\n",
-       "            <td><i class=\"copy-paste-icon\"\n",
-       "                 onclick=\"copyToClipboard('C',\n",
-       "                          this.parentElement.nextElementSibling)\"\n",
-       "            ></i></td>\n",
-       "            <td class=\"param\">C&nbsp;</td>\n",
-       "            <td class=\"value\">1.0</td>\n",
-       "        </tr>\n",
-       "    \n",
-       "\n",
-       "        <tr class=\"default\">\n",
-       "            <td><i class=\"copy-paste-icon\"\n",
-       "                 onclick=\"copyToClipboard('fit_intercept',\n",
-       "                          this.parentElement.nextElementSibling)\"\n",
-       "            ></i></td>\n",
-       "            <td class=\"param\">fit_intercept&nbsp;</td>\n",
-       "            <td class=\"value\">True</td>\n",
-       "        </tr>\n",
-       "    \n",
-       "\n",
-       "        <tr class=\"default\">\n",
-       "            <td><i class=\"copy-paste-icon\"\n",
-       "                 onclick=\"copyToClipboard('intercept_scaling',\n",
-       "                          this.parentElement.nextElementSibling)\"\n",
-       "            ></i></td>\n",
-       "            <td class=\"param\">intercept_scaling&nbsp;</td>\n",
-       "            <td class=\"value\">1</td>\n",
-       "        </tr>\n",
-       "    \n",
-       "\n",
-       "        <tr class=\"user-set\">\n",
-       "            <td><i class=\"copy-paste-icon\"\n",
-       "                 onclick=\"copyToClipboard('class_weight',\n",
-       "                          this.parentElement.nextElementSibling)\"\n",
-       "            ></i></td>\n",
-       "            <td class=\"param\">class_weight&nbsp;</td>\n",
-       "            <td class=\"value\">&#x27;balanced&#x27;</td>\n",
-       "        </tr>\n",
-       "    \n",
-       "\n",
-       "        <tr class=\"default\">\n",
-       "            <td><i class=\"copy-paste-icon\"\n",
-       "                 onclick=\"copyToClipboard('random_state',\n",
-       "                          this.parentElement.nextElementSibling)\"\n",
-       "            ></i></td>\n",
-       "            <td class=\"param\">random_state&nbsp;</td>\n",
-       "            <td class=\"value\">None</td>\n",
-       "        </tr>\n",
-       "    \n",
-       "\n",
-       "        <tr class=\"default\">\n",
-       "            <td><i class=\"copy-paste-icon\"\n",
-       "                 onclick=\"copyToClipboard('solver',\n",
-       "                          this.parentElement.nextElementSibling)\"\n",
-       "            ></i></td>\n",
-       "            <td class=\"param\">solver&nbsp;</td>\n",
-       "            <td class=\"value\">&#x27;lbfgs&#x27;</td>\n",
-       "        </tr>\n",
-       "    \n",
-       "\n",
-       "        <tr class=\"default\">\n",
-       "            <td><i class=\"copy-paste-icon\"\n",
-       "                 onclick=\"copyToClipboard('max_iter',\n",
-       "                          this.parentElement.nextElementSibling)\"\n",
-       "            ></i></td>\n",
-       "            <td class=\"param\">max_iter&nbsp;</td>\n",
-       "            <td class=\"value\">100</td>\n",
-       "        </tr>\n",
-       "    \n",
-       "\n",
-       "        <tr class=\"default\">\n",
-       "            <td><i class=\"copy-paste-icon\"\n",
-       "                 onclick=\"copyToClipboard('multi_class',\n",
-       "                          this.parentElement.nextElementSibling)\"\n",
-       "            ></i></td>\n",
-       "            <td class=\"param\">multi_class&nbsp;</td>\n",
-       "            <td class=\"value\">&#x27;deprecated&#x27;</td>\n",
-       "        </tr>\n",
-       "    \n",
-       "\n",
-       "        <tr class=\"default\">\n",
-       "            <td><i class=\"copy-paste-icon\"\n",
-       "                 onclick=\"copyToClipboard('verbose',\n",
-       "                          this.parentElement.nextElementSibling)\"\n",
-       "            ></i></td>\n",
-       "            <td class=\"param\">verbose&nbsp;</td>\n",
-       "            <td class=\"value\">0</td>\n",
-       "        </tr>\n",
-       "    \n",
-       "\n",
-       "        <tr class=\"default\">\n",
-       "            <td><i class=\"copy-paste-icon\"\n",
-       "                 onclick=\"copyToClipboard('warm_start',\n",
-       "                          this.parentElement.nextElementSibling)\"\n",
-       "            ></i></td>\n",
-       "            <td class=\"param\">warm_start&nbsp;</td>\n",
-       "            <td class=\"value\">False</td>\n",
-       "        </tr>\n",
-       "    \n",
-       "\n",
-       "        <tr class=\"default\">\n",
-       "            <td><i class=\"copy-paste-icon\"\n",
-       "                 onclick=\"copyToClipboard('n_jobs',\n",
-       "                          this.parentElement.nextElementSibling)\"\n",
-       "            ></i></td>\n",
-       "            <td class=\"param\">n_jobs&nbsp;</td>\n",
-       "            <td class=\"value\">None</td>\n",
-       "        </tr>\n",
-       "    \n",
-       "\n",
-       "        <tr class=\"default\">\n",
-       "            <td><i class=\"copy-paste-icon\"\n",
-       "                 onclick=\"copyToClipboard('l1_ratio',\n",
-       "                          this.parentElement.nextElementSibling)\"\n",
-       "            ></i></td>\n",
-       "            <td class=\"param\">l1_ratio&nbsp;</td>\n",
-       "            <td class=\"value\">None</td>\n",
-       "        </tr>\n",
-       "    \n",
-       "                  </tbody>\n",
-       "                </table>\n",
-       "            </details>\n",
-       "        </div>\n",
-       "    </div></div></div></div></div><script>function copyToClipboard(text, element) {\n",
-       "    // Get the parameter prefix from the closest toggleable content\n",
-       "    const toggleableContent = element.closest('.sk-toggleable__content');\n",
-       "    const paramPrefix = toggleableContent ? toggleableContent.dataset.paramPrefix : '';\n",
-       "    const fullParamName = paramPrefix ? `${paramPrefix}${text}` : text;\n",
-       "\n",
-       "    const originalStyle = element.style;\n",
-       "    const computedStyle = window.getComputedStyle(element);\n",
-       "    const originalWidth = computedStyle.width;\n",
-       "    const originalHTML = element.innerHTML.replace('Copied!', '');\n",
-       "\n",
-       "    navigator.clipboard.writeText(fullParamName)\n",
-       "        .then(() => {\n",
-       "            element.style.width = originalWidth;\n",
-       "            element.style.color = 'green';\n",
-       "            element.innerHTML = \"Copied!\";\n",
-       "\n",
-       "            setTimeout(() => {\n",
-       "                element.innerHTML = originalHTML;\n",
-       "                element.style = originalStyle;\n",
-       "            }, 2000);\n",
-       "        })\n",
-       "        .catch(err => {\n",
-       "            console.error('Failed to copy:', err);\n",
-       "            element.style.color = 'red';\n",
-       "            element.innerHTML = \"Failed!\";\n",
-       "            setTimeout(() => {\n",
-       "                element.innerHTML = originalHTML;\n",
-       "                element.style = originalStyle;\n",
-       "            }, 2000);\n",
-       "        });\n",
-       "    return false;\n",
-       "}\n",
-       "\n",
-       "document.querySelectorAll('.fa-regular.fa-copy').forEach(function(element) {\n",
-       "    const toggleableContent = element.closest('.sk-toggleable__content');\n",
-       "    const paramPrefix = toggleableContent ? toggleableContent.dataset.paramPrefix : '';\n",
-       "    const paramName = element.parentElement.nextElementSibling.textContent.trim();\n",
-       "    const fullParamName = paramPrefix ? `${paramPrefix}${paramName}` : paramName;\n",
-       "\n",
-       "    element.setAttribute('title', fullParamName);\n",
-       "});\n",
-       "</script></body>"
-      ]
-     },
-     "execution_count": 15,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "execution_count": 15
-  },
-  {
-   "metadata": {
-    "ExecuteTime": {
-     "end_time": "2025-09-21T07:51:59.892241Z",
-     "start_time": "2025-09-21T07:51:59.884892Z"
-    }
-   },
-   "cell_type": "code",
-   "source": [
-    "# Make predictions\n",
-    "y_pred = model.predict(X_test)"
-   ],
-   "id": "15510ca63305d3a8",
-   "outputs": [],
-   "execution_count": 16
-  },
-  {
-   "metadata": {
-    "ExecuteTime": {
-     "end_time": "2025-09-21T07:51:59.909894Z",
-     "start_time": "2025-09-21T07:51:59.903069Z"
-    }
-   },
-   "cell_type": "code",
-   "source": [
-    "from sklearn.metrics import accuracy_score\n",
-    "\n",
-    "accuracy = accuracy_score(y_test, y_pred)\n",
-    "print(f\"Accuracy: {accuracy:.4f} ({accuracy*100:.2f}%)\")"
-   ],
-   "id": "7f06c5a38d67361b",
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "Accuracy: 0.7473 (74.73%)\n"
-     ]
-    }
-   ],
-   "execution_count": 17
-  },
-  {
-   "metadata": {
-    "ExecuteTime": {
-     "end_time": "2025-09-21T07:51:59.941200Z",
-     "start_time": "2025-09-21T07:51:59.922375Z"
-    }
-   },
-   "cell_type": "code",
-   "source": [
-    "from sklearn.metrics import classification_report,confusion_matrix, accuracy_score\n",
-    "\n",
-    "print(\"Classification Report:\")\n",
-    "print(classification_report(y_test, y_pred))\n",
-    "print(\"\\nConfusion Matrix:\")\n",
-    "print(confusion_matrix(y_test, y_pred))\n",
-    "# Accuracy\n"
-   ],
-   "id": "17e1612821887886",
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "Classification Report:\n",
-      "              precision    recall  f1-score   support\n",
-      "\n",
-      "           0       0.92      0.72      0.81      1036\n",
-      "           1       0.51      0.82      0.63       373\n",
-      "\n",
-      "    accuracy                           0.75      1409\n",
-      "   macro avg       0.72      0.77      0.72      1409\n",
-      "weighted avg       0.81      0.75      0.76      1409\n",
-      "\n",
-      "\n",
-      "Confusion Matrix:\n",
-      "[[749 287]\n",
-      " [ 69 304]]\n"
-     ]
-    }
-   ],
-   "execution_count": 18
-  },
-  {
-   "metadata": {
-    "ExecuteTime": {
-     "end_time": "2025-09-21T07:51:59.968133Z",
-     "start_time": "2025-09-21T07:51:59.955198Z"
-    }
-   },
-   "cell_type": "code",
-   "source": [
-    "# Quick check\n",
-    "train_acc = model.score(X_train, y_train)\n",
-    "test_acc = model.score(X_test, y_test)\n",
-    "\n",
-    "print(f\"Training Accuracy: {train_acc:.4f}\")\n",
-    "print(f\"Test Accuracy: {test_acc:.4f}\")\n",
-    "print(f\"Difference: {train_acc - test_acc:.4f}\")\n",
-    "\n",
-    "if train_acc - test_acc > 0.1:  # 10% difference\n",
-    "    print(\"OVERFITTING: Training accuracy much higher than test!\")\n",
-    "elif train_acc - test_acc > 0.05:  # 5% difference\n",
-    "    print(\"Possible overfitting\")\n",
-    "else:\n",
-    "    print(\"Good generalization\")"
-   ],
-   "id": "6733660e55b07d6a",
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "Training Accuracy: 0.7448\n",
-      "Test Accuracy: 0.7473\n",
-      "Difference: -0.0026\n",
-      "Good generalization\n"
-     ]
-    }
-   ],
-   "execution_count": 19
-  },
-  {
-   "metadata": {},
-   "cell_type": "markdown",
-   "source": "##### No Churn: 0.72 → Model correctly identifies 72% of customers who actually didn't churn. Churn: 0.82 → Model correctly identifies 82% of customers who actually churned this we get from the recall value that is currently needed for the model ,So i given more priority for Recall than the precision.In precision for Churned customers we are getting only 51% accuracy that means we are doing false alarms on our loayal customers but according to business we got a recall of 82% that is we are able to find the customers who is going to churn.",
-   "id": "45ee6471491777de"
-  },
-  {
-   "metadata": {},
-   "cell_type": "markdown",
-   "source": "##### precision-whats my prediction and what has happend really ie,if i predicted 100 and i got correct as 51 so my precision is 51%",
-   "id": "b071e7356fcbce1b"
-  },
-  {
-   "metadata": {},
-   "cell_type": "markdown",
-   "source": "##### Recall-whats has orginally happend and inside that how much i predicted ie,if there are 100 actually churned and i got a prediction of 82  so my recall is 82%",
-   "id": "b4a0bf637e18cc7e"
-  },
-  {
-   "metadata": {},
-   "cell_type": "markdown",
-   "source": [
-    "\n",
-    "##### So in my perspective Recall is more important for this modal because its identifying 82% percent of churned ones\n"
-   ],
-   "id": "695ecdd9397942da"
-  },
-  {
-   "metadata": {},
-   "cell_type": "markdown",
-   "source": "##### Model is very good in predicting the churned ones so that we can",
-   "id": "851da7895fe038d8"
-  },
-  {
-   "metadata": {},
-   "cell_type": "markdown",
-   "source": [
-    "#### Over all performance of the model is 75% ie,our model correctly predicts 75% of all customers.For non churning customers Precision: 92% - When you predict \"won't churn\", we are almost always right.Recall: 72% - You catch 72% of customers who actually stay.Our Model is giving Strong performance for identifying loyal customers.For Churned customers Precision: 51% - Only half your churn predictions are correct Recall: 82% - our  catches 82% of customers who actually churn Good at finding churners, but many false alarms.\n",
-    "#### Strong areas of our model are\n",
-    "##### 1).Excellent churn detection (82% recall) - You won't miss many leaving customers\n",
-    "##### 2). High confidence in loyal customers (92% precision for non-churn)\n",
-    "##### 3).Actionable for retention campaigns\n"
-   ],
-   "id": "ada9ea863b911e24"
-  }
- ],
- "metadata": {
-  "language_info": {
-   "name": "python"
-  },
-  "kernelspec": {
-   "name": "python3",
-   "language": "python",
-   "display_name": "Python 3 (ipykernel)"
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