AspireNex Task-2 Credit Card Fraud Detection.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "1c72982c",
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd \n",
    "import numpy as np\n",
    "import seaborn as sns\n",
    "import matplotlib.pyplot as plt\n",
    "from sklearn.model_selection import train_test_split\n",
    "from sklearn.linear_model import LogisticRegression\n",
    "from sklearn.tree import DecisionTreeClassifier\n",
    "from sklearn.ensemble import RandomForestClassifier\n",
    "from sklearn.metrics import classification_report, confusion_matrix, accuracy_score"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "c0fdebc9",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Unnamed: 0</th>\n",
       "      <th>cc_num</th>\n",
       "      <th>amt</th>\n",
       "      <th>zip</th>\n",
       "      <th>lat</th>\n",
       "      <th>long</th>\n",
       "      <th>city_pop</th>\n",
       "      <th>unix_time</th>\n",
       "      <th>merch_lat</th>\n",
       "      <th>merch_long</th>\n",
       "      <th>is_fraud</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>count</th>\n",
       "      <td>1.852394e+06</td>\n",
       "      <td>1.852394e+06</td>\n",
       "      <td>1.852394e+06</td>\n",
       "      <td>1.852394e+06</td>\n",
       "      <td>1.852394e+06</td>\n",
       "      <td>1.852394e+06</td>\n",
       "      <td>1.852394e+06</td>\n",
       "      <td>1.852394e+06</td>\n",
       "      <td>1.852394e+06</td>\n",
       "      <td>1.852394e+06</td>\n",
       "      <td>1.852394e+06</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>mean</th>\n",
       "      <td>5.371934e+05</td>\n",
       "      <td>4.173860e+17</td>\n",
       "      <td>7.006357e+01</td>\n",
       "      <td>4.881326e+04</td>\n",
       "      <td>3.853931e+01</td>\n",
       "      <td>-9.022783e+01</td>\n",
       "      <td>8.864367e+04</td>\n",
       "      <td>1.358674e+09</td>\n",
       "      <td>3.853898e+01</td>\n",
       "      <td>-9.022794e+01</td>\n",
       "      <td>5.210015e-03</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>std</th>\n",
       "      <td>3.669110e+05</td>\n",
       "      <td>1.309115e+18</td>\n",
       "      <td>1.592540e+02</td>\n",
       "      <td>2.688185e+04</td>\n",
       "      <td>5.071470e+00</td>\n",
       "      <td>1.374789e+01</td>\n",
       "      <td>3.014876e+05</td>\n",
       "      <td>1.819508e+07</td>\n",
       "      <td>5.105604e+00</td>\n",
       "      <td>1.375969e+01</td>\n",
       "      <td>7.199217e-02</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>min</th>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>6.041621e+10</td>\n",
       "      <td>1.000000e+00</td>\n",
       "      <td>1.257000e+03</td>\n",
       "      <td>2.002710e+01</td>\n",
       "      <td>-1.656723e+02</td>\n",
       "      <td>2.300000e+01</td>\n",
       "      <td>1.325376e+09</td>\n",
       "      <td>1.902742e+01</td>\n",
       "      <td>-1.666716e+02</td>\n",
       "      <td>0.000000e+00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25%</th>\n",
       "      <td>2.315490e+05</td>\n",
       "      <td>1.800429e+14</td>\n",
       "      <td>9.640000e+00</td>\n",
       "      <td>2.623700e+04</td>\n",
       "      <td>3.466890e+01</td>\n",
       "      <td>-9.679800e+01</td>\n",
       "      <td>7.410000e+02</td>\n",
       "      <td>1.343017e+09</td>\n",
       "      <td>3.474012e+01</td>\n",
       "      <td>-9.689944e+01</td>\n",
       "      <td>0.000000e+00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>50%</th>\n",
       "      <td>4.630980e+05</td>\n",
       "      <td>3.521417e+15</td>\n",
       "      <td>4.745000e+01</td>\n",
       "      <td>4.817400e+04</td>\n",
       "      <td>3.935430e+01</td>\n",
       "      <td>-8.747690e+01</td>\n",
       "      <td>2.443000e+03</td>\n",
       "      <td>1.357089e+09</td>\n",
       "      <td>3.936890e+01</td>\n",
       "      <td>-8.744069e+01</td>\n",
       "      <td>0.000000e+00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>75%</th>\n",
       "      <td>8.335758e+05</td>\n",
       "      <td>4.642255e+15</td>\n",
       "      <td>8.310000e+01</td>\n",
       "      <td>7.204200e+04</td>\n",
       "      <td>4.194040e+01</td>\n",
       "      <td>-8.015800e+01</td>\n",
       "      <td>2.032800e+04</td>\n",
       "      <td>1.374581e+09</td>\n",
       "      <td>4.195626e+01</td>\n",
       "      <td>-8.024511e+01</td>\n",
       "      <td>0.000000e+00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>max</th>\n",
       "      <td>1.296674e+06</td>\n",
       "      <td>4.992346e+18</td>\n",
       "      <td>2.894890e+04</td>\n",
       "      <td>9.992100e+04</td>\n",
       "      <td>6.669330e+01</td>\n",
       "      <td>-6.795030e+01</td>\n",
       "      <td>2.906700e+06</td>\n",
       "      <td>1.388534e+09</td>\n",
       "      <td>6.751027e+01</td>\n",
       "      <td>-6.695090e+01</td>\n",
       "      <td>1.000000e+00</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "         Unnamed: 0        cc_num           amt           zip           lat  \\\n",
       "count  1.852394e+06  1.852394e+06  1.852394e+06  1.852394e+06  1.852394e+06   \n",
       "mean   5.371934e+05  4.173860e+17  7.006357e+01  4.881326e+04  3.853931e+01   \n",
       "std    3.669110e+05  1.309115e+18  1.592540e+02  2.688185e+04  5.071470e+00   \n",
       "min    0.000000e+00  6.041621e+10  1.000000e+00  1.257000e+03  2.002710e+01   \n",
       "25%    2.315490e+05  1.800429e+14  9.640000e+00  2.623700e+04  3.466890e+01   \n",
       "50%    4.630980e+05  3.521417e+15  4.745000e+01  4.817400e+04  3.935430e+01   \n",
       "75%    8.335758e+05  4.642255e+15  8.310000e+01  7.204200e+04  4.194040e+01   \n",
       "max    1.296674e+06  4.992346e+18  2.894890e+04  9.992100e+04  6.669330e+01   \n",
       "\n",
       "               long      city_pop     unix_time     merch_lat    merch_long  \\\n",
       "count  1.852394e+06  1.852394e+06  1.852394e+06  1.852394e+06  1.852394e+06   \n",
       "mean  -9.022783e+01  8.864367e+04  1.358674e+09  3.853898e+01 -9.022794e+01   \n",
       "std    1.374789e+01  3.014876e+05  1.819508e+07  5.105604e+00  1.375969e+01   \n",
       "min   -1.656723e+02  2.300000e+01  1.325376e+09  1.902742e+01 -1.666716e+02   \n",
       "25%   -9.679800e+01  7.410000e+02  1.343017e+09  3.474012e+01 -9.689944e+01   \n",
       "50%   -8.747690e+01  2.443000e+03  1.357089e+09  3.936890e+01 -8.744069e+01   \n",
       "75%   -8.015800e+01  2.032800e+04  1.374581e+09  4.195626e+01 -8.024511e+01   \n",
       "max   -6.795030e+01  2.906700e+06  1.388534e+09  6.751027e+01 -6.695090e+01   \n",
       "\n",
       "           is_fraud  \n",
       "count  1.852394e+06  \n",
       "mean   5.210015e-03  \n",
       "std    7.199217e-02  \n",
       "min    0.000000e+00  \n",
       "25%    0.000000e+00  \n",
       "50%    0.000000e+00  \n",
       "75%    0.000000e+00  \n",
       "max    1.000000e+00  "
      ]
     },
     "execution_count": 2,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "train = pd.read_csv(\"fraudTrain.csv\")\n",
    "test = pd.read_csv(\"fraudTest.csv\")\n",
    "\n",
    "data = pd.concat([train, test])\n",
    "data.describe()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "644e9cf8",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "(1296675, 23)\n",
      "(555719, 23)\n"
     ]
    }
   ],
   "source": [
    "print(train.shape)\n",
    "print(test.shape)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "7e46c614",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Unnamed: 0</th>\n",
       "      <th>trans_date_trans_time</th>\n",
       "      <th>cc_num</th>\n",
       "      <th>merchant</th>\n",
       "      <th>category</th>\n",
       "      <th>amt</th>\n",
       "      <th>first</th>\n",
       "      <th>last</th>\n",
       "      <th>gender</th>\n",
       "      <th>street</th>\n",
       "      <th>...</th>\n",
       "      <th>lat</th>\n",
       "      <th>long</th>\n",
       "      <th>city_pop</th>\n",
       "      <th>job</th>\n",
       "      <th>dob</th>\n",
       "      <th>trans_num</th>\n",
       "      <th>unix_time</th>\n",
       "      <th>merch_lat</th>\n",
       "      <th>merch_long</th>\n",
       "      <th>is_fraud</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>0</td>\n",
       "      <td>2019-01-01 00:00:18</td>\n",
       "      <td>2703186189652095</td>\n",
       "      <td>fraud_Rippin, Kub and Mann</td>\n",
       "      <td>misc_net</td>\n",
       "      <td>4.97</td>\n",
       "      <td>Jennifer</td>\n",
       "      <td>Banks</td>\n",
       "      <td>F</td>\n",
       "      <td>561 Perry Cove</td>\n",
       "      <td>...</td>\n",
       "      <td>36.0788</td>\n",
       "      <td>-81.1781</td>\n",
       "      <td>3495</td>\n",
       "      <td>Psychologist, counselling</td>\n",
       "      <td>1988-03-09</td>\n",
       "      <td>0b242abb623afc578575680df30655b9</td>\n",
       "      <td>1325376018</td>\n",
       "      <td>36.011293</td>\n",
       "      <td>-82.048315</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>1</td>\n",
       "      <td>2019-01-01 00:00:44</td>\n",
       "      <td>630423337322</td>\n",
       "      <td>fraud_Heller, Gutmann and Zieme</td>\n",
       "      <td>grocery_pos</td>\n",
       "      <td>107.23</td>\n",
       "      <td>Stephanie</td>\n",
       "      <td>Gill</td>\n",
       "      <td>F</td>\n",
       "      <td>43039 Riley Greens Suite 393</td>\n",
       "      <td>...</td>\n",
       "      <td>48.8878</td>\n",
       "      <td>-118.2105</td>\n",
       "      <td>149</td>\n",
       "      <td>Special educational needs teacher</td>\n",
       "      <td>1978-06-21</td>\n",
       "      <td>1f76529f8574734946361c461b024d99</td>\n",
       "      <td>1325376044</td>\n",
       "      <td>49.159047</td>\n",
       "      <td>-118.186462</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>2</td>\n",
       "      <td>2019-01-01 00:00:51</td>\n",
       "      <td>38859492057661</td>\n",
       "      <td>fraud_Lind-Buckridge</td>\n",
       "      <td>entertainment</td>\n",
       "      <td>220.11</td>\n",
       "      <td>Edward</td>\n",
       "      <td>Sanchez</td>\n",
       "      <td>M</td>\n",
       "      <td>594 White Dale Suite 530</td>\n",
       "      <td>...</td>\n",
       "      <td>42.1808</td>\n",
       "      <td>-112.2620</td>\n",
       "      <td>4154</td>\n",
       "      <td>Nature conservation officer</td>\n",
       "      <td>1962-01-19</td>\n",
       "      <td>a1a22d70485983eac12b5b88dad1cf95</td>\n",
       "      <td>1325376051</td>\n",
       "      <td>43.150704</td>\n",
       "      <td>-112.154481</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>3</td>\n",
       "      <td>2019-01-01 00:01:16</td>\n",
       "      <td>3534093764340240</td>\n",
       "      <td>fraud_Kutch, Hermiston and Farrell</td>\n",
       "      <td>gas_transport</td>\n",
       "      <td>45.00</td>\n",
       "      <td>Jeremy</td>\n",
       "      <td>White</td>\n",
       "      <td>M</td>\n",
       "      <td>9443 Cynthia Court Apt. 038</td>\n",
       "      <td>...</td>\n",
       "      <td>46.2306</td>\n",
       "      <td>-112.1138</td>\n",
       "      <td>1939</td>\n",
       "      <td>Patent attorney</td>\n",
       "      <td>1967-01-12</td>\n",
       "      <td>6b849c168bdad6f867558c3793159a81</td>\n",
       "      <td>1325376076</td>\n",
       "      <td>47.034331</td>\n",
       "      <td>-112.561071</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>4</td>\n",
       "      <td>2019-01-01 00:03:06</td>\n",
       "      <td>375534208663984</td>\n",
       "      <td>fraud_Keeling-Crist</td>\n",
       "      <td>misc_pos</td>\n",
       "      <td>41.96</td>\n",
       "      <td>Tyler</td>\n",
       "      <td>Garcia</td>\n",
       "      <td>M</td>\n",
       "      <td>408 Bradley Rest</td>\n",
       "      <td>...</td>\n",
       "      <td>38.4207</td>\n",
       "      <td>-79.4629</td>\n",
       "      <td>99</td>\n",
       "      <td>Dance movement psychotherapist</td>\n",
       "      <td>1986-03-28</td>\n",
       "      <td>a41d7549acf90789359a9aa5346dcb46</td>\n",
       "      <td>1325376186</td>\n",
       "      <td>38.674999</td>\n",
       "      <td>-78.632459</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>5 rows × 23 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "   Unnamed: 0 trans_date_trans_time            cc_num  \\\n",
       "0           0   2019-01-01 00:00:18  2703186189652095   \n",
       "1           1   2019-01-01 00:00:44      630423337322   \n",
       "2           2   2019-01-01 00:00:51    38859492057661   \n",
       "3           3   2019-01-01 00:01:16  3534093764340240   \n",
       "4           4   2019-01-01 00:03:06   375534208663984   \n",
       "\n",
       "                             merchant       category     amt      first  \\\n",
       "0          fraud_Rippin, Kub and Mann       misc_net    4.97   Jennifer   \n",
       "1     fraud_Heller, Gutmann and Zieme    grocery_pos  107.23  Stephanie   \n",
       "2                fraud_Lind-Buckridge  entertainment  220.11     Edward   \n",
       "3  fraud_Kutch, Hermiston and Farrell  gas_transport   45.00     Jeremy   \n",
       "4                 fraud_Keeling-Crist       misc_pos   41.96      Tyler   \n",
       "\n",
       "      last gender                        street  ...      lat      long  \\\n",
       "0    Banks      F                561 Perry Cove  ...  36.0788  -81.1781   \n",
       "1     Gill      F  43039 Riley Greens Suite 393  ...  48.8878 -118.2105   \n",
       "2  Sanchez      M      594 White Dale Suite 530  ...  42.1808 -112.2620   \n",
       "3    White      M   9443 Cynthia Court Apt. 038  ...  46.2306 -112.1138   \n",
       "4   Garcia      M              408 Bradley Rest  ...  38.4207  -79.4629   \n",
       "\n",
       "   city_pop                                job         dob  \\\n",
       "0      3495          Psychologist, counselling  1988-03-09   \n",
       "1       149  Special educational needs teacher  1978-06-21   \n",
       "2      4154        Nature conservation officer  1962-01-19   \n",
       "3      1939                    Patent attorney  1967-01-12   \n",
       "4        99     Dance movement psychotherapist  1986-03-28   \n",
       "\n",
       "                          trans_num   unix_time  merch_lat  merch_long  \\\n",
       "0  0b242abb623afc578575680df30655b9  1325376018  36.011293  -82.048315   \n",
       "1  1f76529f8574734946361c461b024d99  1325376044  49.159047 -118.186462   \n",
       "2  a1a22d70485983eac12b5b88dad1cf95  1325376051  43.150704 -112.154481   \n",
       "3  6b849c168bdad6f867558c3793159a81  1325376076  47.034331 -112.561071   \n",
       "4  a41d7549acf90789359a9aa5346dcb46  1325376186  38.674999  -78.632459   \n",
       "\n",
       "   is_fraud  \n",
       "0         0  \n",
       "1         0  \n",
       "2         0  \n",
       "3         0  \n",
       "4         0  \n",
       "\n",
       "[5 rows x 23 columns]"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "         Unnamed: 0        cc_num           amt           zip           lat  \\\n",
      "count  1.852394e+06  1.852394e+06  1.852394e+06  1.852394e+06  1.852394e+06   \n",
      "mean   5.371934e+05  4.173860e+17  7.006357e+01  4.881326e+04  3.853931e+01   \n",
      "std    3.669110e+05  1.309115e+18  1.592540e+02  2.688185e+04  5.071470e+00   \n",
      "min    0.000000e+00  6.041621e+10  1.000000e+00  1.257000e+03  2.002710e+01   \n",
      "25%    2.315490e+05  1.800429e+14  9.640000e+00  2.623700e+04  3.466890e+01   \n",
      "50%    4.630980e+05  3.521417e+15  4.745000e+01  4.817400e+04  3.935430e+01   \n",
      "75%    8.335758e+05  4.642255e+15  8.310000e+01  7.204200e+04  4.194040e+01   \n",
      "max    1.296674e+06  4.992346e+18  2.894890e+04  9.992100e+04  6.669330e+01   \n",
      "\n",
      "               long      city_pop     unix_time     merch_lat    merch_long  \\\n",
      "count  1.852394e+06  1.852394e+06  1.852394e+06  1.852394e+06  1.852394e+06   \n",
      "mean  -9.022783e+01  8.864367e+04  1.358674e+09  3.853898e+01 -9.022794e+01   \n",
      "std    1.374789e+01  3.014876e+05  1.819508e+07  5.105604e+00  1.375969e+01   \n",
      "min   -1.656723e+02  2.300000e+01  1.325376e+09  1.902742e+01 -1.666716e+02   \n",
      "25%   -9.679800e+01  7.410000e+02  1.343017e+09  3.474012e+01 -9.689944e+01   \n",
      "50%   -8.747690e+01  2.443000e+03  1.357089e+09  3.936890e+01 -8.744069e+01   \n",
      "75%   -8.015800e+01  2.032800e+04  1.374581e+09  4.195626e+01 -8.024511e+01   \n",
      "max   -6.795030e+01  2.906700e+06  1.388534e+09  6.751027e+01 -6.695090e+01   \n",
      "\n",
      "           is_fraud  \n",
      "count  1.852394e+06  \n",
      "mean   5.210015e-03  \n",
      "std    7.199217e-02  \n",
      "min    0.000000e+00  \n",
      "25%    0.000000e+00  \n",
      "50%    0.000000e+00  \n",
      "75%    0.000000e+00  \n",
      "max    1.000000e+00  \n",
      "Unnamed: 0               0\n",
      "trans_date_trans_time    0\n",
      "cc_num                   0\n",
      "merchant                 0\n",
      "category                 0\n",
      "amt                      0\n",
      "first                    0\n",
      "last                     0\n",
      "gender                   0\n",
      "street                   0\n",
      "city                     0\n",
      "state                    0\n",
      "zip                      0\n",
      "lat                      0\n",
      "long                     0\n",
      "city_pop                 0\n",
      "job                      0\n",
      "dob                      0\n",
      "trans_num                0\n",
      "unix_time                0\n",
      "merch_lat                0\n",
      "merch_long               0\n",
      "is_fraud                 0\n",
      "dtype: int64\n"
     ]
    }
   ],
   "source": [
    "display(data.head())\n",
    "print(data.describe())\n",
    "print(data.isnull().sum())"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "45dfdf66",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<bound method DataFrame.info of         Unnamed: 0 trans_date_trans_time            cc_num  \\\n",
       "0                0   2020-06-21 12:14:25  2291163933867244   \n",
       "1                1   2020-06-21 12:14:33  3573030041201292   \n",
       "2                2   2020-06-21 12:14:53  3598215285024754   \n",
       "3                3   2020-06-21 12:15:15  3591919803438423   \n",
       "4                4   2020-06-21 12:15:17  3526826139003047   \n",
       "...            ...                   ...               ...   \n",
       "555714      555714   2020-12-31 23:59:07    30560609640617   \n",
       "555715      555715   2020-12-31 23:59:09  3556613125071656   \n",
       "555716      555716   2020-12-31 23:59:15  6011724471098086   \n",
       "555717      555717   2020-12-31 23:59:24     4079773899158   \n",
       "555718      555718   2020-12-31 23:59:34  4170689372027579   \n",
       "\n",
       "                                    merchant        category     amt    first  \\\n",
       "0                      fraud_Kirlin and Sons   personal_care    2.86     Jeff   \n",
       "1                       fraud_Sporer-Keebler   personal_care   29.84   Joanne   \n",
       "2       fraud_Swaniawski, Nitzsche and Welch  health_fitness   41.28   Ashley   \n",
       "3                          fraud_Haley Group        misc_pos   60.05    Brian   \n",
       "4                      fraud_Johnston-Casper          travel    3.19   Nathan   \n",
       "...                                      ...             ...     ...      ...   \n",
       "555714                 fraud_Reilly and Sons  health_fitness   43.77  Michael   \n",
       "555715                  fraud_Hoppe-Parisian       kids_pets  111.84     Jose   \n",
       "555716                       fraud_Rau-Robel       kids_pets   86.88      Ann   \n",
       "555717                 fraud_Breitenberg LLC          travel    7.99     Eric   \n",
       "555718                     fraud_Dare-Marvin   entertainment   38.13   Samuel   \n",
       "\n",
       "            last gender                       street  ...      lat      long  \\\n",
       "0        Elliott      M            351 Darlene Green  ...  33.9659  -80.9355   \n",
       "1       Williams      F             3638 Marsh Union  ...  40.3207 -110.4360   \n",
       "2          Lopez      F         9333 Valentine Point  ...  40.6729  -73.5365   \n",
       "3       Williams      M  32941 Krystal Mill Apt. 552  ...  28.5697  -80.8191   \n",
       "4         Massey      M     5783 Evan Roads Apt. 465  ...  44.2529  -85.0170   \n",
       "...          ...    ...                          ...  ...      ...       ...   \n",
       "555714     Olson      M          558 Michael Estates  ...  40.4931  -91.8912   \n",
       "555715   Vasquez      M          572 Davis Mountains  ...  29.0393  -95.4401   \n",
       "555716    Lawson      F   144 Evans Islands Apt. 683  ...  46.1966 -118.9017   \n",
       "555717   Preston      M   7020 Doyle Stream Apt. 951  ...  44.6255 -116.4493   \n",
       "555718      Frey      M     830 Myers Plaza Apt. 384  ...  35.6665  -97.4798   \n",
       "\n",
       "        city_pop                     job         dob  \\\n",
       "0         333497     Mechanical engineer  1968-03-19   \n",
       "1            302  Sales professional, IT  1990-01-17   \n",
       "2          34496       Librarian, public  1970-10-21   \n",
       "3          54767            Set designer  1987-07-25   \n",
       "4           1126      Furniture designer  1955-07-06   \n",
       "...          ...                     ...         ...   \n",
       "555714       519            Town planner  1966-02-13   \n",
       "555715     28739          Futures trader  1999-12-27   \n",
       "555716      3684                Musician  1981-11-29   \n",
       "555717       129            Cartographer  1965-12-15   \n",
       "555718    116001             Media buyer  1993-05-10   \n",
       "\n",
       "                               trans_num   unix_time  merch_lat  merch_long  \\\n",
       "0       2da90c7d74bd46a0caf3777415b3ebd3  1371816865  33.986391  -81.200714   \n",
       "1       324cc204407e99f51b0d6ca0055005e7  1371816873  39.450498 -109.960431   \n",
       "2       c81755dbbbea9d5c77f094348a7579be  1371816893  40.495810  -74.196111   \n",
       "3       2159175b9efe66dc301f149d3d5abf8c  1371816915  28.812398  -80.883061   \n",
       "4       57ff021bd3f328f8738bb535c302a31b  1371816917  44.959148  -85.884734   \n",
       "...                                  ...         ...        ...         ...   \n",
       "555714  9b1f753c79894c9f4b71f04581835ada  1388534347  39.946837  -91.333331   \n",
       "555715  2090647dac2c89a1d86c514c427f5b91  1388534349  29.661049  -96.186633   \n",
       "555716  6c5b7c8add471975aa0fec023b2e8408  1388534355  46.658340 -119.715054   \n",
       "555717  14392d723bb7737606b2700ac791b7aa  1388534364  44.470525 -117.080888   \n",
       "555718  1765bb45b3aa3224b4cdcb6e7a96cee3  1388534374  36.210097  -97.036372   \n",
       "\n",
       "        is_fraud  \n",
       "0              0  \n",
       "1              0  \n",
       "2              0  \n",
       "3              0  \n",
       "4              0  \n",
       "...          ...  \n",
       "555714         0  \n",
       "555715         0  \n",
       "555716         0  \n",
       "555717         0  \n",
       "555718         0  \n",
       "\n",
       "[555719 rows x 23 columns]>"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "test.info"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "5ed244c4",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<bound method DataFrame.info of          Unnamed: 0 trans_date_trans_time               cc_num  \\\n",
       "0                 0   2019-01-01 00:00:18     2703186189652095   \n",
       "1                 1   2019-01-01 00:00:44         630423337322   \n",
       "2                 2   2019-01-01 00:00:51       38859492057661   \n",
       "3                 3   2019-01-01 00:01:16     3534093764340240   \n",
       "4                 4   2019-01-01 00:03:06      375534208663984   \n",
       "...             ...                   ...                  ...   \n",
       "1296670     1296670   2020-06-21 12:12:08       30263540414123   \n",
       "1296671     1296671   2020-06-21 12:12:19     6011149206456997   \n",
       "1296672     1296672   2020-06-21 12:12:32     3514865930894695   \n",
       "1296673     1296673   2020-06-21 12:13:36     2720012583106919   \n",
       "1296674     1296674   2020-06-21 12:13:37  4292902571056973207   \n",
       "\n",
       "                                    merchant       category     amt  \\\n",
       "0                 fraud_Rippin, Kub and Mann       misc_net    4.97   \n",
       "1            fraud_Heller, Gutmann and Zieme    grocery_pos  107.23   \n",
       "2                       fraud_Lind-Buckridge  entertainment  220.11   \n",
       "3         fraud_Kutch, Hermiston and Farrell  gas_transport   45.00   \n",
       "4                        fraud_Keeling-Crist       misc_pos   41.96   \n",
       "...                                      ...            ...     ...   \n",
       "1296670                    fraud_Reichel Inc  entertainment   15.56   \n",
       "1296671             fraud_Abernathy and Sons    food_dining   51.70   \n",
       "1296672                 fraud_Stiedemann Ltd    food_dining  105.93   \n",
       "1296673  fraud_Reinger, Weissnat and Strosin    food_dining   74.90   \n",
       "1296674  fraud_Langosh, Wintheiser and Hyatt    food_dining    4.30   \n",
       "\n",
       "               first       last gender                         street  ...  \\\n",
       "0           Jennifer      Banks      F                 561 Perry Cove  ...   \n",
       "1          Stephanie       Gill      F   43039 Riley Greens Suite 393  ...   \n",
       "2             Edward    Sanchez      M       594 White Dale Suite 530  ...   \n",
       "3             Jeremy      White      M    9443 Cynthia Court Apt. 038  ...   \n",
       "4              Tyler     Garcia      M               408 Bradley Rest  ...   \n",
       "...              ...        ...    ...                            ...  ...   \n",
       "1296670         Erik  Patterson      M       162 Jessica Row Apt. 072  ...   \n",
       "1296671      Jeffrey      White      M  8617 Holmes Terrace Suite 651  ...   \n",
       "1296672  Christopher  Castaneda      M     1632 Cohen Drive Suite 639  ...   \n",
       "1296673       Joseph     Murray      M           42933 Ryan Underpass  ...   \n",
       "1296674      Jeffrey      Smith      M           135 Joseph Mountains  ...   \n",
       "\n",
       "             lat      long  city_pop                                job  \\\n",
       "0        36.0788  -81.1781      3495          Psychologist, counselling   \n",
       "1        48.8878 -118.2105       149  Special educational needs teacher   \n",
       "2        42.1808 -112.2620      4154        Nature conservation officer   \n",
       "3        46.2306 -112.1138      1939                    Patent attorney   \n",
       "4        38.4207  -79.4629        99     Dance movement psychotherapist   \n",
       "...          ...       ...       ...                                ...   \n",
       "1296670  37.7175 -112.4777       258                       Geoscientist   \n",
       "1296671  39.2667  -77.5101       100   Production assistant, television   \n",
       "1296672  32.9396 -105.8189       899                    Naval architect   \n",
       "1296673  43.3526 -102.5411      1126              Volunteer coordinator   \n",
       "1296674  45.8433 -113.8748       218           Therapist, horticultural   \n",
       "\n",
       "                dob                         trans_num   unix_time  merch_lat  \\\n",
       "0        1988-03-09  0b242abb623afc578575680df30655b9  1325376018  36.011293   \n",
       "1        1978-06-21  1f76529f8574734946361c461b024d99  1325376044  49.159047   \n",
       "2        1962-01-19  a1a22d70485983eac12b5b88dad1cf95  1325376051  43.150704   \n",
       "3        1967-01-12  6b849c168bdad6f867558c3793159a81  1325376076  47.034331   \n",
       "4        1986-03-28  a41d7549acf90789359a9aa5346dcb46  1325376186  38.674999   \n",
       "...             ...                               ...         ...        ...   \n",
       "1296670  1961-11-24  440b587732da4dc1a6395aba5fb41669  1371816728  36.841266   \n",
       "1296671  1979-12-11  278000d2e0d2277d1de2f890067dcc0a  1371816739  38.906881   \n",
       "1296672  1967-08-30  483f52fe67fabef353d552c1e662974c  1371816752  33.619513   \n",
       "1296673  1980-08-18  d667cdcbadaaed3da3f4020e83591c83  1371816816  42.788940   \n",
       "1296674  1995-08-16  8f7c8e4ab7f25875d753b422917c98c9  1371816817  46.565983   \n",
       "\n",
       "         merch_long  is_fraud  \n",
       "0        -82.048315         0  \n",
       "1       -118.186462         0  \n",
       "2       -112.154481         0  \n",
       "3       -112.561071         0  \n",
       "4        -78.632459         0  \n",
       "...             ...       ...  \n",
       "1296670 -111.690765         0  \n",
       "1296671  -78.246528         0  \n",
       "1296672 -105.130529         0  \n",
       "1296673 -103.241160         0  \n",
       "1296674 -114.186110         0  \n",
       "\n",
       "[1296675 rows x 23 columns]>"
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "train.info"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "cc7b5c42",
   "metadata": {},
   "outputs": [],
   "source": [
    "from sklearn.preprocessing import LabelEncoder\n",
    "label_encoders = {}\n",
    "\n",
    "label_encode_cols = ['merchant', 'category', 'gender', 'state', 'job']\n",
    "for col in label_encode_cols:\n",
    "    le = LabelEncoder()\n",
    "    data[col] = le.fit_transform(data[col])\n",
    "    label_encoders[col] = le\n",
    "    \n",
    "    train[col] = le.fit_transform(train[col])\n",
    "    label_encoders[col] = le\n",
    "    \n",
    "    test[col] = le.fit_transform(test[col])\n",
    "    label_encoders[col] = le"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "f5a3d636",
   "metadata": {},
   "outputs": [],
   "source": [
    "data['trans_date_trans_time'] = pd.to_datetime(data['trans_date_trans_time'])\n",
    "data['dob'] = pd.to_datetime(data['dob'])\n",
    "\n",
    "data['transaction_year'] = data['trans_date_trans_time'].dt.year\n",
    "data['transaction_month'] = data['trans_date_trans_time'].dt.month\n",
    "data['transaction_day'] = data['trans_date_trans_time'].dt.day\n",
    "data['transaction_hour'] = data['trans_date_trans_time'].dt.hour\n",
    "\n",
    "data['birth_year'] = data['dob'].dt.year\n",
    "data['birth_month'] = data['dob'].dt.month\n",
    "data['birth_day'] = data['dob'].dt.day\n",
    "data.drop(['trans_date_trans_time', 'dob'], axis=1, inplace=True)\n",
    "train['trans_date_trans_time'] = pd.to_datetime(train['trans_date_trans_time'])\n",
    "train['dob'] = pd.to_datetime(train['dob'])\n",
    "\n",
    "train['transaction_year'] = train['trans_date_trans_time'].dt.year\n",
    "train['transaction_month'] = train['trans_date_trans_time'].dt.month\n",
    "train['transaction_day'] = train['trans_date_trans_time'].dt.day\n",
    "train['transaction_hour'] = train['trans_date_trans_time'].dt.hour\n",
    "\n",
    "train['birth_year'] = train['dob'].dt.year\n",
    "train['birth_month'] = train['dob'].dt.month\n",
    "train['birth_day'] = train['dob'].dt.day\n",
    "\n",
    "train.drop(['trans_date_trans_time', 'dob'], axis=1, inplace=True)\n",
    "\n",
    "test['trans_date_trans_time'] = pd.to_datetime(test['trans_date_trans_time'])\n",
    "test['dob'] = pd.to_datetime(test['dob'])\n",
    "\n",
    "test['transaction_year'] = test['trans_date_trans_time'].dt.year\n",
    "test['transaction_month'] = test['trans_date_trans_time'].dt.month\n",
    "test['transaction_day'] = test['trans_date_trans_time'].dt.day\n",
    "test['transaction_hour'] = test['trans_date_trans_time'].dt.hour\n",
    "test['birth_year'] = test['dob'].dt.year\n",
    "test['birth_month'] = test['dob'].dt.month\n",
    "test['birth_day'] = test['dob'].dt.day\n",
    "\n",
    "test.drop(['trans_date_trans_time', 'dob'], axis=1, inplace=True)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "42ce4b9e",
   "metadata": {},
   "outputs": [],
   "source": [
    "data.drop(['first', 'last', 'street', 'city', 'trans_num'], axis=1, inplace=True)\n",
    "train.drop(['first', 'last', 'street', 'city', 'trans_num'], axis=1, inplace=True)\n",
    "test.drop(['first', 'last', 'street', 'city', 'trans_num'], axis=1, inplace=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "id": "9fec37ca",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "(1296675, 23)\n",
      "(555719, 23)\n",
      "(1852394, 23)\n"
     ]
    }
   ],
   "source": [
    "print(train.shape)\n",
    "print(test.shape)\n",
    "print(data.shape)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "id": "656b31c7",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Empty DataFrame\n",
      "Columns: [Unnamed: 0, cc_num, merchant, category, amt, gender, state, zip, lat, long, city_pop, job, unix_time, merch_lat, merch_long, is_fraud, transaction_year, transaction_month, transaction_day, transaction_hour, birth_year, birth_month, birth_day]\n",
      "Index: []\n",
      "\n",
      "[0 rows x 23 columns]\n",
      "   Unnamed: 0            cc_num  merchant  category     amt  gender  state  \\\n",
      "0           0  2703186189652095       514         8    4.97       0     27   \n",
      "1           1      630423337322       241         4  107.23       0     47   \n",
      "2           2    38859492057661       390         0  220.11       1     13   \n",
      "3           3  3534093764340240       360         2   45.00       1     26   \n",
      "4           4   375534208663984       297         9   41.96       1     45   \n",
      "\n",
      "     zip      lat      long  ...  merch_lat  merch_long  is_fraud  \\\n",
      "0  28654  36.0788  -81.1781  ...  36.011293  -82.048315         0   \n",
      "1  99160  48.8878 -118.2105  ...  49.159047 -118.186462         0   \n",
      "2  83252  42.1808 -112.2620  ...  43.150704 -112.154481         0   \n",
      "3  59632  46.2306 -112.1138  ...  47.034331 -112.561071         0   \n",
      "4  24433  38.4207  -79.4629  ...  38.674999  -78.632459         0   \n",
      "\n",
      "   transaction_year  transaction_month  transaction_day  transaction_hour  \\\n",
      "0              2019                  1                1                 0   \n",
      "1              2019                  1                1                 0   \n",
      "2              2019                  1                1                 0   \n",
      "3              2019                  1                1                 0   \n",
      "4              2019                  1                1                 0   \n",
      "\n",
      "   birth_year  birth_month  birth_day  \n",
      "0        1988            3          9  \n",
      "1        1978            6         21  \n",
      "2        1962            1         19  \n",
      "3        1967            1         12  \n",
      "4        1986            3         28  \n",
      "\n",
      "[5 rows x 23 columns]\n",
      "         Unnamed: 0        cc_num      merchant      category           amt  \\\n",
      "count  1.852394e+06  1.852394e+06  1.852394e+06  1.852394e+06  1.852394e+06   \n",
      "mean   5.371934e+05  4.173860e+17  3.429269e+02  6.230569e+00  7.006357e+01   \n",
      "std    3.669110e+05  1.309115e+18  2.010519e+02  3.913273e+00  1.592540e+02   \n",
      "min    0.000000e+00  6.041621e+10  0.000000e+00  0.000000e+00  1.000000e+00   \n",
      "25%    2.315490e+05  1.800429e+14  1.660000e+02  3.000000e+00  9.640000e+00   \n",
      "50%    4.630980e+05  3.521417e+15  3.460000e+02  6.000000e+00  4.745000e+01   \n",
      "75%    8.335758e+05  4.642255e+15  5.140000e+02  1.000000e+01  8.310000e+01   \n",
      "max    1.296674e+06  4.992346e+18  6.920000e+02  1.300000e+01  2.894890e+04   \n",
      "\n",
      "             gender         state           zip           lat          long  \\\n",
      "count  1.852394e+06  1.852394e+06  1.852394e+06  1.852394e+06  1.852394e+06   \n",
      "mean   4.521959e-01  2.666711e+01  4.881326e+04  3.853931e+01 -9.022783e+01   \n",
      "std    4.977097e-01  1.432946e+01  2.688185e+04  5.071470e+00  1.374789e+01   \n",
      "min    0.000000e+00  0.000000e+00  1.257000e+03  2.002710e+01 -1.656723e+02   \n",
      "25%    0.000000e+00  1.500000e+01  2.623700e+04  3.466890e+01 -9.679800e+01   \n",
      "50%    0.000000e+00  2.700000e+01  4.817400e+04  3.935430e+01 -8.747690e+01   \n",
      "75%    1.000000e+00  3.800000e+01  7.204200e+04  4.194040e+01 -8.015800e+01   \n",
      "max    1.000000e+00  5.000000e+01  9.992100e+04  6.669330e+01 -6.795030e+01   \n",
      "\n",
      "       ...     merch_lat    merch_long      is_fraud  transaction_year  \\\n",
      "count  ...  1.852394e+06  1.852394e+06  1.852394e+06      1.852394e+06   \n",
      "mean   ...  3.853898e+01 -9.022794e+01  5.210015e-03      2.019501e+03   \n",
      "std    ...  5.105604e+00  1.375969e+01  7.199217e-02      4.999996e-01   \n",
      "min    ...  1.902742e+01 -1.666716e+02  0.000000e+00      2.019000e+03   \n",
      "25%    ...  3.474012e+01 -9.689944e+01  0.000000e+00      2.019000e+03   \n",
      "50%    ...  3.936890e+01 -8.744069e+01  0.000000e+00      2.020000e+03   \n",
      "75%    ...  4.195626e+01 -8.024511e+01  0.000000e+00      2.020000e+03   \n",
      "max    ...  6.751027e+01 -6.695090e+01  1.000000e+00      2.020000e+03   \n",
      "\n",
      "       transaction_month  transaction_day  transaction_hour    birth_year  \\\n",
      "count       1.852394e+06     1.852394e+06      1.852394e+06  1.852394e+06   \n",
      "mean        7.152067e+00     1.585076e+01      1.280612e+01  1.973289e+03   \n",
      "std         3.424954e+00     8.876245e+00      6.815753e+00  1.739057e+01   \n",
      "min         1.000000e+00     1.000000e+00      0.000000e+00  1.924000e+03   \n",
      "25%         4.000000e+00     8.000000e+00      7.000000e+00  1.962000e+03   \n",
      "50%         7.000000e+00     1.600000e+01      1.400000e+01  1.975000e+03   \n",
      "75%         1.000000e+01     2.400000e+01      1.900000e+01  1.987000e+03   \n",
      "max         1.200000e+01     3.100000e+01      2.300000e+01  2.005000e+03   \n",
      "\n",
      "        birth_month     birth_day  \n",
      "count  1.852394e+06  1.852394e+06  \n",
      "mean   6.526735e+00  1.566482e+01  \n",
      "std    3.398164e+00  8.887820e+00  \n",
      "min    1.000000e+00  1.000000e+00  \n",
      "25%    4.000000e+00  8.000000e+00  \n",
      "50%    7.000000e+00  1.500000e+01  \n",
      "75%    9.000000e+00  2.300000e+01  \n",
      "max    1.200000e+01  3.100000e+01  \n",
      "\n",
      "[8 rows x 23 columns]\n",
      "Unnamed: 0           0\n",
      "cc_num               0\n",
      "merchant             0\n",
      "category             0\n",
      "amt                  0\n",
      "gender               0\n",
      "state                0\n",
      "zip                  0\n",
      "lat                  0\n",
      "long                 0\n",
      "city_pop             0\n",
      "job                  0\n",
      "unix_time            0\n",
      "merch_lat            0\n",
      "merch_long           0\n",
      "is_fraud             0\n",
      "transaction_year     0\n",
      "transaction_month    0\n",
      "transaction_day      0\n",
      "transaction_hour     0\n",
      "birth_year           0\n",
      "birth_month          0\n",
      "birth_day            0\n",
      "dtype: int64\n"
     ]
    }
   ],
   "source": [
    "print(data.head(0))\n",
    "print(data.head())\n",
    "print(data.describe())\n",
    "print(data.isnull().sum())"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "id": "484d0df3",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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Zs2e1Zs0a9e/fX+XKXR/IfvDBB3Xu3Dk988wzWrNmjcNlnsIaPXq0fH19NWbMGKfLDx48qBMnTigmJsY2AiNdvxG+T58++vrrr3Xx4kW7dZy9JpcuXbK973mjinnTtWvX7OrXq1fP4Zj761//alfH2WfAyZMnNWzYMAUHB6tcuXIqX768QkJCJMnh8kRhbNmyRZJsx0Oemx8KuF2ffvqpmjVrpvvvv9/udenWrZvTS1cdO3ZU5cqVbfMBAQHy9/cv9jFXWC1atFCDBg0cyvfu3atHH31Ufn5+tnO9f//+unbtmsPlwho1aujBBx90aPfGvj/44IPat2+fhg8frs8//1xZWVkO27x69arefPNNNWnSRB4eHipXrpw8PDx06NAhu/d6w4YNatCggd3DObcjJSVFv//+u8NIcHBwsDp16qQvv/zSrtxisahXr152Zc72tyTO5VshAJWi7OxsnT59WkFBQfnWqVevnr744gv5+/vr5ZdfVr169VSvXj27a7uFUZQ78mvUqJFv2enTp4u03aI6ffq0077mvUY3b9/Pz89uPu9Sye+//57vNs6ePSvDMIq0naKoWbOmWrdubTfd+OHrbLv//ve/FRUVJUn6xz/+oR07dmjXrl0aN27cLfcnP6dPny7wvSwJ//d//ydJGjVqlMqXL283DR8+XJIcPpyK857dygsvvKDjx49r06ZNkmS77HTjh25MTIyWLFmiX3/9VX369JG/v7/CwsJs6xSWj4+Pxo8fr88++8z2hX+jvGMnv+MrNzdXZ8+etSu/1Wvywgsv2L22N9+Q7+Xl5XDM1alTx7a8QoUK8vHxsVsnNzdXUVFRWrlypUaPHq0vv/xS//73v/X111/bbbsoTp8+rXLlyjnsT0kec9L14+67775zOOYqV64swzBuecxJ11/j2znmCsPZMZCWlqbIyEgdP35cs2fP1vbt27Vr1y7NmzdPkuPrXpi+x8XFafr06fr6668VHR0tPz8/de7c2e6nGWJjYzVhwgT17t1bn3zyib755hvt2rVLoaGhdm399ttvJfpwzK3Oh5s/aytUqCAvLy+7Mk9PT126dMk2X1Ln8q1wD1ApWrduna5du3bLR9cjIyMVGRmpa9euaffu3XrnnXc0cuRIBQQE6Omnny7Utory20IZGRn5luWdjHkH6M03pt1uEvfz81N6erpDed5NstWqVbut9iWpatWqcnNzK/Xt5MfZe7F8+XKVL19en376qd3J7+w3hzw9PR1ed8l5OCzovSxOmzfLe53i4uLsbja+0a1+NqAkdOvWTUFBQXrvvffUrVs3vffeewoLC3O4h2PQoEEaNGiQsrOzlZycrDfeeEM9e/bUzz//bBv5KIw//vGPmj17tsaMGaM//vGPdsvyzpH8ji83NzenI4AFmTRpkv70pz/Z5m8M1IXh7Jjbv3+/9u3bp4SEBA0YMMBWfvjwYYe6Xl5eTo8PZ0Hj6tWrOn36tN0Xt7NjrrBtOlOtWjV5e3vne49UaZ6/ReHsdV+9erWys7O1cuVKu2MuNTW12NspV66cYmNjFRsbq3PnzumLL77Q2LFj1a1bNx07dkwVKlTQBx98oP79++vNN9+0W/fUqVN2j/1Xr15d//3vf4vdl5vd6nwo7ntVUudyQRgBKiVpaWkaNWqUrFarXnrppUKt4+7urrCwMNv/FPIuR5XE/6Bv9MMPP2jfvn12ZcuWLVPlypX1wAMPSJLt6Y3vvvvOrt7atWsd2ivK/7Q6d+6szZs32z0VJElLly5VhQoVSuSx+YoVKyosLEwrV66061dubq4++OAD1axZ0+mwdWmyWCwqV66c3Y3bv//+u/75z3861K1du7bD675582ZduHDBrqxjx4768ssvbaM00vUno1asWFHsNm/WsGFD1a9fX/v27XMYgXA2+lVYRf3fed7ly7wbzHfv3q0XXngh3/oVK1ZUdHS0xo0bp5ycHP3www9F6p+Hh4f+9re/adeuXfr444/tljVs2FD33Xefli1bZneJOzs7W0lJSbYnw4qidu3adq9pSYTKvC/nm28wv/Gp1Bu3f/LkSbtjKScnR59//rldvY4dO0qSw+/hOLvxvrBtOtOzZ0/98ssv8vPzc3rMFedpzZL+HM2Ps9fdMAz94x//KJH2q1SpoieffFIvv/yyzpw5Y3say2KxOLzX69at0/Hjx+3KoqOj9fPPP9seSnCmKK9VeHi4vL299cEHH9iV//e//7Xd8nA7bvdcLggjQCVg//79tmvUJ0+e1Pbt2/Xee+/J3d1dq1atKvDu+YULF2rz5s3q0aOHatWqpUuXLtn+15N3jbZy5coKCQnRmjVr1LlzZ/n6+qpatWrFfmQ7KChIjz76qCZNmqTAwEB98MEH2rRpk6ZOnWr74G7Tpo0aNmyoUaNG6erVq6patapWrVqlr776yqG95s2ba+XKlVqwYIFatWolNze3fH8Z+Y033tCnn36qjh07auLEifL19dWHH36odevWadq0abJarcXap5vFx8era9eu6tixo0aNGiUPDw/Nnz9f+/fvV2JiYpF/jft29ejRQzNnztSzzz6roUOH6vTp05o+fbrTp59iYmI0YcIETZw4Ue3bt9ePP/6ouXPnOrw248eP19q1a9WpUydNnDhRFSpU0Lx585w+BVjYNp159913FR0drW7dumngwIG67777dObMGf3000/69ttvHQJCYTRv3lzLly/XihUrVLduXXl5eal58+YFrvPCCy9o6tSpevbZZ+Xt7e1wr9OLL74ob29vPfTQQwoMDFRGRobi4+NltVrVpk2bIvfxmWee0fTp07Vhwwa7cjc3N02bNk3PPfecevbsqZdeekmXL1/W22+/rXPnzjn9NWlXaNSokerVq6e//OUvMgxDvr6++uSTT5xeRujXr58mTpyop59+Wq+//rouXbqkOXPmONyLFBUVpXbt2mn06NHKzs5W69attWPHDqdBvrBtOjNy5EglJSWpXbt2evXVV9WiRQvl5uYqLS1NGzdu1GuvvWZ3311h5B1fs2fP1oABA1S+fHk1bNiwWAG+IF27dpWHh4eeeeYZjR49WpcuXdKCBQscLosWRa9evWy/N1e9enX9+uuvmjVrlkJCQmxPWPXs2VMJCQlq1KiRWrRooT179ujtt992uNw1cuRIrVixQo899pj+8pe/6MEHH9Tvv/+ubdu2qWfPnrb7qQr7nVOlShVNmDBBY8eOVf/+/fXMM8/o9OnTmjx5sry8vPTGG28UeX9L+lzOV6nfZn0Py7sbPm/y8PAw/P39jfbt2xtvvvmmcfLkSYd1bn4CIiUlxXj88ceNkJAQw9PT0/Dz8zPat29vrF271m69L774wmjZsqXh6elpSLI9MZHX3m+//XbLbRnG9ScXevToYfzrX/8ymjZtanh4eBi1a9c2Zs6c6bD+zz//bERFRRk+Pj5G9erVjVdeecVYt26dw1NCZ86cMZ588kmjSpUqhsVisdumnDxJ8P333xu9evUyrFar4eHhYYSGhhrvvfeeXZ28p5E+/vhju/K8J7Furu/M9u3bjU6dOhkVK1Y0vL29jbZt2xqffPKJ0/aK8hRYQXV1w9NEN1uyZInRsGFDw9PT06hbt64RHx9vLF682OHJlMuXLxujR482goODDW9vb6N9+/ZGamqqw5MyhmEYO3bsMNq2bWt4enoaNWrUMF5//XVj0aJFxW7T2VNghmEY+/btM/r27Wv4+/sb5cuXN2rUqGF06tTJWLhwoa1Ofk9FOmvz6NGjRlRUlFG5cmVDUr5PEd4sIiLC7gmoG73//vtGx44djYCAAMPDw8MICgoy+vbta3z33Xe3bDe/923jxo228/vm/Vq9erURFhZmeHl5GRUrVjQ6d+5s7Nixw65Ofudnfk9ZOuPsCaQbDRgwwKhYsaLTZT/++KPRtWtXo3LlykbVqlWNp556ykhLS3N6Xq5fv964//77DW9vb6Nu3brG3LlznX6GnDt3znjhhReMKlWqGBUqVDC6du1qHDhw4LbadHZsX7hwwRg/frzRsGFDw8PDw7BarUbz5s2NV1991e7Jx/zeO2dtxsXFGUFBQYabm5vT4zw/+T0F1qNHD6f1P/nkEyM0NNTw8vIy7rvvPuP111+3PUF34zbze29vfoJuxowZRkREhFGtWjXDw8PDqFWrljF48GDj6NGjtjpnz541Bg8ebPj7+xsVKlQwHn74YWP79u1G+/btHZ64PHv2rDFixAijVq1aRvny5Q1/f3+jR48exoEDB2x18vvOye/Y/d///V+jRYsWtvfqscceM3744QeH/XJ2rN58TNzOuVwUFsO4xWNKAAAA9xjuAQIAAKZDAAIAAKZDAAIAAKZDAAIAAKZDAAIAAKZDAAIAAKZDAAIAAKZDAAIAAKZDALqF5ORk9erVS0FBQbJYLE7/eOWtGIah6dOnq0GDBvL09FRwcLDDH6wDAAB3Dn8L7Bays7MVGhqqQYMGqU+fPsVqY8SIEdq4caOmT5+u5s2bKzMz87b/qjoAACg+/hRGEVgsFq1atUq9e/e2leXk5Gj8+PH68MMPde7cOTVr1kxTp05Vhw4dJEk//fSTWrRoof3795fIX3gGAAC3j0tgt2nQoEHasWOHli9fru+++05PPfWUHnnkER06dEiS9Mknn6hu3br69NNPVadOHdWuXVtDhgzRmTNnXNxzAADMiwB0G3755RclJibq448/VmRkpOrVq6dRo0bp4Ycf1nvvvSdJ+s9//qNff/1VH3/8sZYuXaqEhATt2bNHTz75pIt7DwCAeXEP0G349ttvZRiGGjRoYFd++fJl+fn5SZJyc3N1+fJlLV261FZv8eLFatWqlQ4ePMhlMQAAXIAAdBtyc3Pl7u6uPXv2yN3d3W5ZpUqVJEmBgYEqV66cXUhq3LixJCktLY0ABACACxCAbkPLli117do1nTx5UpGRkU7rPPTQQ7p69ap++eUX1atXT5L0888/S5JCQkLuWF8BAMD/x1Ngt3DhwgUdPnxY0vXAM3PmTHXs2FG+vr6qVauWnn/+ee3YsUMzZsxQy5YtderUKW3evFnNmzdX9+7dlZubqzZt2qhSpUqaNWuWcnNz9fLLL8vHx0cbN2508d4BAGBOBKBb2Lp1qzp27OhQPmDAACUkJOjKlSv629/+pqVLl+r48ePy8/NTeHi4Jk+erObNm0uSTpw4oVdeeUUbN25UxYoVFR0drRkzZsjX1/dO7w4AABABCAAAmBCPwQMAANMhAAEAANPhKTAncnNzdeLECVWuXFkWi8XV3QEAAIVgGIbOnz+voKAgubkVPMZDAHLixIkTCg4OdnU3AABAMRw7dkw1a9YssA4ByInKlStLuv4C+vj4uLg3AACgMLKyshQcHGz7Hi8IAciJvMtePj4+BCAAAMqYwty+wk3QAADAdAhAAADAdAhAAADAdAhAAADAdAhAAADAdAhAAADAdAhAAADAdAhAAADAdAhAAADAdAhAAADAdAhAAADAdAhAAADAdAhAAADAdAhAAADAdAhAAADAdMq5ugNm1ur1pa7uAnDX2fN2f1d3AYAJMAIEAABMhwAEAABMhwAEAABMhwAEAABMhwAEAABMhwAEAABMhwAEAABMhwAEAABMhwAEAABMhwAEAABMhwAEAABMhwAEAABMx6UBKDk5Wb169VJQUJAsFotWr15dYP2BAwfKYrE4TE2bNrXVSUhIcFrn0qVLpbw3AACgrHBpAMrOzlZoaKjmzp1bqPqzZ89Wenq6bTp27Jh8fX311FNP2dXz8fGxq5eeni4vL6/S2AUAAFAGlXPlxqOjoxUdHV3o+larVVar1Ta/evVqnT17VoMGDbKrZ7FYVKNGjRLrJwAAuLeU6XuAFi9erC5duigkJMSu/MKFCwoJCVHNmjXVs2dP7d27t8B2Ll++rKysLLsJAADcu8psAEpPT9eGDRs0ZMgQu/JGjRopISFBa9euVWJiory8vPTQQw/p0KFD+bYVHx9vG12yWq0KDg4u7e4DAAAXKrMBKCEhQVWqVFHv3r3tytu2bavnn39eoaGhioyM1EcffaQGDRronXfeybetuLg4ZWZm2qZjx46Vcu8BAIArufQeoOIyDENLlixRTEyMPDw8Cqzr5uamNm3aFDgC5OnpKU9Pz5LuJgAAuEuVyRGgbdu26fDhwxo8ePAt6xqGodTUVAUGBt6BngEAgLLApSNAFy5c0OHDh23zR44cUWpqqnx9fVWrVi3FxcXp+PHjWrp0qd16ixcvVlhYmJo1a+bQ5uTJk9W2bVvVr19fWVlZmjNnjlJTUzVv3rxS3x8AAFA2uDQA7d69Wx07drTNx8bGSpIGDBighIQEpaenKy0tzW6dzMxMJSUlafbs2U7bPHfunIYOHaqMjAxZrVa1bNlSycnJevDBB0tvRwAAQJliMQzDcHUn7jZZWVmyWq3KzMyUj49PqW2n1etLb10JMJk9b/d3dRcAlFFF+f4uk/cAAQAA3A4CEAAAMB0CEAAAMB0CEAAAMB0CEAAAMB0CEAAAMB0CEAAAMB0CEAAAMB0CEAAAMB0CEAAAMB0CEAAAMB0CEAAAMB0CEAAAMB0CEAAAMB0CEAAAMB0CEAAAMB0CEAAAMB0CEAAAMB0CEAAAMB0CEAAAMB0CEAAAMB0CEAAAMB0CEAAAMB0CEAAAMB0CEAAAMB0CEAAAMB0CEAAAMB0CEAAAMB0CEAAAMB0CEAAAMB0CEAAAMB0CEAAAMB0CEAAAMB0CEAAAMB0CEAAAMB0CEAAAMB0CEAAAMB2XBqDk5GT16tVLQUFBslgsWr16dYH1t27dKovF4jAdOHDArl5SUpKaNGkiT09PNWnSRKtWrSrFvQAAAGWNSwNQdna2QkNDNXfu3CKtd/DgQaWnp9um+vXr25alpKSoX79+iomJ0b59+xQTE6O+ffvqm2++KenuAwCAMqqcKzceHR2t6OjoIq/n7++vKlWqOF02a9Ysde3aVXFxcZKkuLg4bdu2TbNmzVJiYuLtdBcAANwjyuQ9QC1btlRgYKA6d+6sLVu22C1LSUlRVFSUXVm3bt20c+fOfNu7fPmysrKy7CYAAHDvKlMBKDAwUIsWLVJSUpJWrlyphg0bqnPnzkpOTrbVycjIUEBAgN16AQEBysjIyLfd+Ph4Wa1W2xQcHFxq+wAAAFzPpZfAiqphw4Zq2LChbT48PFzHjh3T9OnT1a5dO1u5xWKxW88wDIeyG8XFxSk2NtY2n5WVRQgCAOAeVqZGgJxp27atDh06ZJuvUaOGw2jPyZMnHUaFbuTp6SkfHx+7CQAA3LvKfADau3evAgMDbfPh4eHatGmTXZ2NGzcqIiLiTncNAADcpVx6CezChQs6fPiwbf7IkSNKTU2Vr6+vatWqpbi4OB0/flxLly6VdP0Jr9q1a6tp06bKycnRBx98oKSkJCUlJdnaGDFihNq1a6epU6fqscce05o1a/TFF1/oq6++uuP7BwAA7k4uDUC7d+9Wx44dbfN59+EMGDBACQkJSk9PV1pamm15Tk6ORo0apePHj8vb21tNmzbVunXr1L17d1udiIgILV++XOPHj9eECRNUr149rVixQmFhYXduxwAAwF3NYhiG4epO3G2ysrJktVqVmZlZqvcDtXp9aam1DZRVe97u7+ouACijivL9XebvAQIAACgqAhAAADAdAhAAADAdAhAAADAdAhAAADAdAhAAADAdAhAAADAdAhAAADAdAhAAADAdAhAAADAdAhAAADAdAhAAADAdAhAAADAdAhAAADAdAhAAADAdAhAAADAdAhAAADAdAhAAADAdAhAAADAdAhAAADAdAhAAADAdAhAAADAdAhAAADAdAhAAADAdAhAAADAdAhAAADAdAhAAADAdAhAAADAdAhAAADAdAhAAADAdAhAAADAdAhAAADAdAhAAADAdAhAAADAdAhAAADAdAhAAADAdAhAAADAdlwag5ORk9erVS0FBQbJYLFq9enWB9VeuXKmuXbuqevXq8vHxUXh4uD7//HO7OgkJCbJYLA7TpUuXSnFPAABAWeLSAJSdna3Q0FDNnTu3UPWTk5PVtWtXrV+/Xnv27FHHjh3Vq1cv7d27166ej4+P0tPT7SYvL6/S2AUAAFAGlXPlxqOjoxUdHV3o+rNmzbKbf/PNN7VmzRp98sknatmypa3cYrGoRo0aJdVNAABwjynT9wDl5ubq/Pnz8vX1tSu/cOGCQkJCVLNmTfXs2dNhhOhmly9fVlZWlt0EAADuXWU6AM2YMUPZ2dnq27evraxRo0ZKSEjQ2rVrlZiYKC8vLz300EM6dOhQvu3Ex8fLarXapuDg4DvRfQAA4CJlNgAlJiZq0qRJWrFihfz9/W3lbdu21fPPP6/Q0FBFRkbqo48+UoMGDfTOO+/k21ZcXJwyMzNt07Fjx+7ELgAAABdx6T1AxbVixQoNHjxYH3/8sbp06VJgXTc3N7Vp06bAESBPT095enqWdDcBAMBdqsyNACUmJmrgwIFatmyZevToccv6hmEoNTVVgYGBd6B3AACgLHDpCNCFCxd0+PBh2/yRI0eUmpoqX19f1apVS3FxcTp+/LiWLl0q6Xr46d+/v2bPnq22bdsqIyNDkuTt7S2r1SpJmjx5stq2bav69esrKytLc+bMUWpqqubNm3fndxAAANyVXDoCtHv3brVs2dL2CHtsbKxatmypiRMnSpLS09OVlpZmq//uu+/q6tWrevnllxUYGGibRowYYatz7tw5DR06VI0bN1ZUVJSOHz+u5ORkPfjgg3d25wAAwF3LYhiG4epO3G2ysrJktVqVmZkpHx+fUttOq9eXllrbQFm15+3+ru4CgDKqKN/fZe4eIAAAgNtFAAIAAKZDAAIAAKZDAAIAAKZDAAIAAKZDAAIAAKZDAAIAAKZDAAIAAKZDAAIAAKZDAAIAAKZDAAIAAKZDAAIAAKZDAAIAAKZDAAIAAKZDAAIAAKZDAAIAAKZDAAIAAKZDAAIAAKZDAAIAAKZDAAIAAKZDAAIAAKZDAAIAAKZDAAIAAKZDAAIAAKZDAAIAAKZDAAIAAKZDAAIAAKZDAAIAAKZDAAIAAKZDAAIAAKZTrADUqVMnnTt3zqE8KytLnTp1ut0+AQAAlKpiBaCtW7cqJyfHofzSpUvavn37bXcKAACgNJUrSuXvvvvO9u8ff/xRGRkZtvlr167ps88+03333VdyvQMAACgFRQpA999/vywWiywWi9NLXd7e3nrnnXdKrHMAAACloUgB6MiRIzIMQ3Xr1tW///1vVa9e3bbMw8ND/v7+cnd3L/FOAgAAlKQiBaCQkBBJUm5ubql0BgAA4E4oUgC60c8//6ytW7fq5MmTDoFo4sSJt90xAACA0lKsp8D+8Y9/qEmTJpo4caL+9a9/adWqVbZp9erVhW4nOTlZvXr1UlBQkCwWS6HW3bZtm1q1aiUvLy/VrVtXCxcudKiTlJSkJk2ayNPTU02aNNGqVauKsHcAAOBeV6wA9Le//U1///vflZGRodTUVO3du9c2ffvtt4VuJzs7W6GhoZo7d26h6h85ckTdu3dXZGSk9u7dq7Fjx+rPf/6zkpKSbHVSUlLUr18/xcTEaN++fYqJiVHfvn31zTffFHk/AQDAvcliGIZR1JV8fHyUmpqqunXrllxHLBatWrVKvXv3zrfOmDFjtHbtWv3000+2smHDhmnfvn1KSUmRJPXr109ZWVnasGGDrc4jjzyiqlWrKjExsVB9ycrKktVqVWZmpnx8fIq3Q4XQ6vWlpdY2UFbtebu/q7sAoIwqyvd3sUaAnnrqKW3cuLFYnbsdKSkpioqKsivr1q2bdu/erStXrhRYZ+fOnfm2e/nyZWVlZdlNAADg3lWsm6D/8Ic/aMKECfr666/VvHlzlS9f3m75n//85xLp3M0yMjIUEBBgVxYQEKCrV6/q1KlTCgwMzLfOjT/aeLP4+HhNnjy5VPoMAADuPsUKQIsWLVKlSpW0bds2bdu2zW6ZxWIptQCU1/6N8q7g3VjurM7NZTeKi4tTbGysbT4rK0vBwcEl0V0AAHAXKlYAOnLkSEn3o1Bq1KjhMJJz8uRJlStXTn5+fgXWuXlU6Eaenp7y9PQs+Q4DAIC7UrHuAXKV8PBwbdq0ya5s48aNat26te0yXH51IiIi7lg/AQDA3a1YI0AvvPBCgcuXLFlSqHYuXLigw4cP2+aPHDmi1NRU+fr6qlatWoqLi9Px48e1dOn1p6WGDRumuXPnKjY2Vi+++KJSUlK0ePFiu6e7RowYoXbt2mnq1Kl67LHHtGbNGn3xxRf66quvirGnAADgXlSsAHT27Fm7+StXrmj//v06d+6c0z+Smp/du3erY8eOtvm8+3AGDBighIQEpaenKy0tzba8Tp06Wr9+vV599VXNmzdPQUFBmjNnjvr06WOrExERoeXLl2v8+PGaMGGC6tWrpxUrVigsLKw4uwoAAO5BxfodIGdyc3M1fPhw1a1bV6NHjy6JJl2G3wECXIffAQJQXKX+O0BOG3Jz06uvvqr/+Z//KakmAQAASkWJ3gT9yy+/6OrVqyXZJAAAQIkr1j1AN/5mjnT9d3bS09O1bt06DRgwoEQ6BgAAUFqKFYD27t1rN+/m5qbq1atrxowZt3xCDAAAwNWKFYC2bNlS0v0AAAC4Y4oVgPL89ttvOnjwoCwWixo0aKDq1auXVL8AAABKTbFugs7OztYLL7ygwMBAtWvXTpGRkQoKCtLgwYN18eLFku4jAABAiSpWAIqNjdW2bdv0ySef6Ny5czp37pzWrFmjbdu26bXXXivpPgIAAJSoYl0CS0pK0r/+9S916NDBVta9e3d5e3urb9++WrBgQUn1DwAAoMQVawTo4sWLTv+6ur+/P5fAAADAXa9YASg8PFxvvPGGLl26ZCv7/fffNXnyZIWHh5dY5wAAAEpDsS6BzZo1S9HR0apZs6ZCQ0NlsViUmpoqT09Pbdy4saT7CAAAUKKKFYCaN2+uQ4cO6YMPPtCBAwdkGIaefvppPffcc/L29i7pPgIAAJSoYgWg+Ph4BQQE6MUXX7QrX7JkiX777TeNGTOmRDoHAABQGop1D9C7776rRo0aOZQ3bdpUCxcuvO1OAQAAlKZiBaCMjAwFBgY6lFevXl3p6em33SkAAIDSVKwAFBwcrB07djiU79ixQ0FBQbfdKQAAgNJUrHuAhgwZopEjR+rKlSvq1KmTJOnLL7/U6NGj+SVoAABw1ytWABo9erTOnDmj4cOHKycnR5Lk5eWlMWPGKC4urkQ7CAAAUNKKFYAsFoumTp2qCRMm6KeffpK3t7fq168vT0/Pku4fAABAiStWAMpTqVIltWnTpqT6AgAAcEcU6yZoAACAsowABAAATIcABAAATIcABAAATIcABAAATIcABAAATIcABAAATIcABAAATIcABAAATIcABAAATIcABAAATIcABAAATIcABAAATIcABAAATIcABAAATMflAWj+/PmqU6eOvLy81KpVK23fvj3fugMHDpTFYnGYmjZtaquTkJDgtM6lS5fuxO4AAIAywKUBaMWKFRo5cqTGjRunvXv3KjIyUtHR0UpLS3Naf/bs2UpPT7dNx44dk6+vr5566im7ej4+Pnb10tPT5eXldSd2CQAAlAEuDUAzZ87U4MGDNWTIEDVu3FizZs1ScHCwFixY4LS+1WpVjRo1bNPu3bt19uxZDRo0yK6exWKxq1ejRo07sTsAAKCMcFkAysnJ0Z49exQVFWVXHhUVpZ07dxaqjcWLF6tLly4KCQmxK79w4YJCQkJUs2ZN9ezZU3v37i2wncuXLysrK8tuAgAA9y6XBaBTp07p2rVrCggIsCsPCAhQRkbGLddPT0/Xhg0bNGTIELvyRo0aKSEhQWvXrlViYqK8vLz00EMP6dChQ/m2FR8fL6vVapuCg4OLt1MAAKBMcPlN0BaLxW7eMAyHMmcSEhJUpUoV9e7d2668bdu2ev755xUaGqrIyEh99NFHatCggd55551824qLi1NmZqZtOnbsWLH2BQAAlA3lXLXhatWqyd3d3WG05+TJkw6jQjczDENLlixRTEyMPDw8Cqzr5uamNm3aFDgC5OnpKU9Pz8J3HgAAlGkuGwHy8PBQq1attGnTJrvyTZs2KSIiosB1t23bpsOHD2vw4MG33I5hGEpNTVVgYOBt9RcAANw7XDYCJEmxsbGKiYlR69atFR4erkWLFiktLU3Dhg2TdP3S1PHjx7V06VK79RYvXqywsDA1a9bMoc3Jkyerbdu2ql+/vrKysjRnzhylpqZq3rx5d2SfAADA3c+lAahfv346ffq0pkyZovT0dDVr1kzr16+3PdWVnp7u8JtAmZmZSkpK0uzZs522ee7cOQ0dOlQZGRmyWq1q2bKlkpOT9eCDD5b6/gAAgLLBYhiG4epO3G2ysrJktVqVmZkpHx+fUttOq9eX3roSYDJ73u7v6i4AKKOK8v3t8qfAAAAA7jQCEAAAMB0CEAAAMB0CEAAAMB0CEAAAMB0CEAAAMB0CEAAAMB0CEAAAMB0CEAAAMB0CEAAAMB0CEAAAMB0CEAAAMB0CEAAAMB0CEAAAMB0CEAAAMB0CEAAAMB0CEAAAMB0CEAAAMB0CEAAAMB0CEAAAMB0CEAAAMB0CEAAAMB0CEAAAMB0CEAAAMB0CEAAAMB0CEAAAMB0CEAAAMB0CEAAAMB0CEAAAMB0CEAAAMB0CEAAAMB0CEAAAMB0CEAAAMB0CEAAAMB0CEAAAMB0CEAAAMB0CEAAAMB2XB6D58+erTp068vLyUqtWrbR9+/Z8627dulUWi8VhOnDggF29pKQkNWnSRJ6enmrSpIlWrVpV2rsBAADKEJcGoBUrVmjkyJEaN26c9u7dq8jISEVHRystLa3A9Q4ePKj09HTbVL9+fduylJQU9evXTzExMdq3b59iYmLUt29fffPNN6W9OwAAoIywGIZhuGrjYWFheuCBB7RgwQJbWePGjdW7d2/Fx8c71N+6das6duyos2fPqkqVKk7b7Nevn7KysrRhwwZb2SOPPKKqVasqMTGxUP3KysqS1WpVZmamfHx8irZTRdDq9aWl1jZQVu15u7+ruwCgjCrK97fLRoBycnK0Z88eRUVF2ZVHRUVp586dBa7bsmVLBQYGqnPnztqyZYvdspSUFIc2u3XrVmCbly9fVlZWlt0EAADuXS4LQKdOndK1a9cUEBBgVx4QEKCMjAyn6wQGBmrRokVKSkrSypUr1bBhQ3Xu3FnJycm2OhkZGUVqU5Li4+NltVptU3Bw8G3sGQAAuNuVc3UHLBaL3bxhGA5leRo2bKiGDRva5sPDw3Xs2DFNnz5d7dq1K1abkhQXF6fY2FjbfFZWFiEIAIB7mMtGgKpVqyZ3d3eHkZmTJ086jOAUpG3btjp06JBtvkaNGkVu09PTUz4+PnYTAAC4d7ksAHl4eKhVq1batGmTXfmmTZsUERFR6Hb27t2rwMBA23x4eLhDmxs3bixSmwAA4N7m0ktgsbGxiomJUevWrRUeHq5FixYpLS1Nw4YNk3T90tTx48e1dOn1p6VmzZql2rVrq2nTpsrJydEHH3ygpKQkJSUl2docMWKE2rVrp6lTp+qxxx7TmjVr9MUXX+irr75yyT4CAIC7j0sDUL9+/XT69GlNmTJF6enpatasmdavX6+QkBBJUnp6ut1vAuXk5GjUqFE6fvy4vL291bRpU61bt07du3e31YmIiNDy5cs1fvx4TZgwQfXq1dOKFSsUFhZ2x/cPAADcnVz6O0B3K34HCHAdfgcIQHGVid8BAgAAcBUCEAAAMB0CEAAAMB0CEAAAMB0CEAAAMB0CEAAAMB0CEAAAMB0CEAAAMB0CEAAAMB0CEAAAMB0CEAAAMB0CEAAAMB0CEAAAMB0CEAAAMB0CEAAAMB0CEAAAMB0CEAAAMB0CEAAAMB0CEAAAMB0CEAAAMB0CEAAAMB0CEAAAMB0CEAAAMB0CEAAAMB0CEAAAMB0CEAAAMB0CEAAAMB0CEAAAMB0CEAAAMB0CEAAAMB0CEAAAMB0CEAAAMB0CEAAAMB0CEAAAMB0CEAAAMB0CEAAAMB0CEAAAMB2XB6D58+erTp068vLyUqtWrbR9+/Z8665cuVJdu3ZV9erV5ePjo/DwcH3++ed2dRISEmSxWBymS5culfauAACAMsKlAWjFihUaOXKkxo0bp7179yoyMlLR0dFKS0tzWj85OVldu3bV+vXrtWfPHnXs2FG9evXS3r177er5+PgoPT3dbvLy8roTuwQAAMqAcq7c+MyZMzV48GANGTJEkjRr1ix9/vnnWrBggeLj4x3qz5o1y27+zTff1Jo1a/TJJ5+oZcuWtnKLxaIaNWqUat8BAEDZ5bIRoJycHO3Zs0dRUVF25VFRUdq5c2eh2sjNzdX58+fl6+trV37hwgWFhISoZs2a6tmzp8MI0c0uX76srKwsuwkAANy7XBaATp06pWvXrikgIMCuPCAgQBkZGYVqY8aMGcrOzlbfvn1tZY0aNVJCQoLWrl2rxMREeXl56aGHHtKhQ4fybSc+Pl5Wq9U2BQcHF2+nAABAmeDym6AtFovdvGEYDmXOJCYmatKkSVqxYoX8/f1t5W3bttXzzz+v0NBQRUZG6qOPPlKDBg30zjvv5NtWXFycMjMzbdOxY8eKv0MAAOCu57J7gKpVqyZ3d3eH0Z6TJ086jArdbMWKFRo8eLA+/vhjdenSpcC6bm5uatOmTYEjQJ6envL09Cx85wEAQJnmshEgDw8PtWrVSps2bbIr37RpkyIiIvJdLzExUQMHDtSyZcvUo0ePW27HMAylpqYqMDDwtvsMAADuDS59Ciw2NlYxMTFq3bq1wsPDtWjRIqWlpWnYsGGSrl+aOn78uJYuXSrpevjp37+/Zs+erbZt29pGj7y9vWW1WiVJkydPVtu2bVW/fn1lZWVpzpw5Sk1N1bx581yzkwAA4K7j0gDUr18/nT59WlOmTFF6erqaNWum9evXKyQkRJKUnp5u95tA7777rq5evaqXX35ZL7/8sq18wIABSkhIkCSdO3dOQ4cOVUZGhqxWq1q2bKnk5GQ9+OCDd3TfAADA3ctiGIbh6k7cbbKysmS1WpWZmSkfH59S206r15eWWttAWbXn7f6u7gKAMqoo398ufwoMAADgTiMAAQAA0yEAAQAA0yEAAQAA0yEAAQAA0yEAAQAA0yEAAQAA0yEAAQAA0yEAAQAA0yEAAQAA0yEAAQAA0yEAAQAA0yEAAQAA0yEAAQAA0yEAAQAA0yEAAQAA0yEAAQAA0yEAAQAA0yEAAQAA0yEAAQAA0yEAAQAA0yEAAQAA0yEAAQAA0yEAAQAA0yEAAQAA0yEAAQAA0yEAAQAA0yEAAQAA0yEAAQAA0yEAAQAA0yEAAQAA0yEAAQAA0yEAAQAA0yEAAQAA0yEAAQAA0yEAAQAA0yEAAQAA03F5AJo/f77q1KkjLy8vtWrVStu3by+w/rZt29SqVSt5eXmpbt26WrhwoUOdpKQkNWnSRJ6enmrSpIlWrVpVWt0HAABlkEsD0IoVKzRy5EiNGzdOe/fuVWRkpKKjo5WWlua0/pEjR9S9e3dFRkZq7969Gjt2rP785z8rKSnJViclJUX9+vVTTEyM9u3bp5iYGPXt21fffPPNndotAABwl7MYhmG4auNhYWF64IEHtGDBAltZ48aN1bt3b8XHxzvUHzNmjNauXauffvrJVjZs2DDt27dPKSkpkqR+/fopKytLGzZssNV55JFHVLVqVSUmJhaqX1lZWbJarcrMzJSPj09xd++WWr2+tNTaBsqqPW/3d3UXSkTalOau7gJw16k18ftSbb8o39/lSrUnBcjJydGePXv0l7/8xa48KipKO3fudLpOSkqKoqKi7Mq6deumxYsX68qVKypfvrxSUlL06quvOtSZNWtWvn25fPmyLl++bJvPzMyUdP2FLE3XLv9equ0DZVFpn3d3yvlL11zdBeCuU9rnd177hRnbcVkAOnXqlK5du6aAgAC78oCAAGVkZDhdJyMjw2n9q1ev6tSpUwoMDMy3Tn5tSlJ8fLwmT57sUB4cHFzY3QFQQqzvDHN1FwCUlnjrHdnM+fPnZbUWvC2XBaA8FovFbt4wDIeyW9W/ubyobcbFxSk2NtY2n5ubqzNnzsjPz6/A9XBvyMrKUnBwsI4dO1aqlzwB3Hmc3+ZiGIbOnz+voKCgW9Z1WQCqVq2a3N3dHUZmTp486TCCk6dGjRpO65crV05+fn4F1smvTUny9PSUp6enXVmVKlUKuyu4R/j4+PABCdyjOL/N41YjP3lc9hSYh4eHWrVqpU2bNtmVb9q0SREREU7XCQ8Pd6i/ceNGtW7dWuXLly+wTn5tAgAA83HpJbDY2FjFxMSodevWCg8P16JFi5SWlqZhw67fAxAXF6fjx49r6dLrT0sNGzZMc+fOVWxsrF588UWlpKRo8eLFdk93jRgxQu3atdPUqVP12GOPac2aNfriiy/01VdfuWQfAQDA3celAahfv346ffq0pkyZovT0dDVr1kzr169XSEiIJCk9Pd3uN4Hq1Kmj9evX69VXX9W8efMUFBSkOXPmqE+fPrY6ERERWr58ucaPH68JEyaoXr16WrFihcLCwu74/qFs8PT01BtvvOFwGRRA2cf5jfy49HeAAAAAXMHlfwoDAADgTiMAAQAA0yEAAQAA0yEAAQAA0yEAwfTmz5+vOnXqyMvLS61atdL27dtd3SUAtyk5OVm9evVSUFCQLBaLVq9e7eou4S5DAIKprVixQiNHjtS4ceO0d+9eRUZGKjo62u7nFwCUPdnZ2QoNDdXcuXNd3RXcpXgMHqYWFhamBx54QAsWLLCVNW7cWL1791Z8fLwLewagpFgsFq1atUq9e/d2dVdwF2EECKaVk5OjPXv2KCoqyq48KipKO3fudFGvAAB3AgEIpnXq1Cldu3bN4Q/lBgQEOPxBXQDAvYUABNOzWCx284ZhOJQBAO4tBCCYVrVq1eTu7u4w2nPy5EmHUSEAwL2FAATT8vDwUKtWrbRp0ya78k2bNikiIsJFvQIA3Aku/WvwgKvFxsYqJiZGrVu3Vnh4uBYtWqS0tDQNGzbM1V0DcBsuXLigw4cP2+aPHDmi1NRU+fr6qlatWi7sGe4WPAYP05s/f76mTZum9PR0NWvWTP/zP/+jdu3aubpbAG7D1q1b1bFjR4fyAQMGKCEh4c53CHcdAhAAADAd7gECAACmQwACAACmQwACAACmQwACAACmQwACAACmQwACAACmQwACAACmQwACAACmQwACcNfo0KGDRo4ceVttGIahoUOHytfXVxaLRampqSXSt6IYOHCgevfufce3C6Dw+FtgAO4aK1euVPny5W+rjc8++0wJCQnaunWr6tatq2rVqpVQ7wDcSwhAAO4avr6+t93GL7/8osDAQEVERORbJycnRx4eHre9LQBlF5fAANw1brwENn/+fNWvX19eXl4KCAjQk08+ecv1Bw4cqFdeeUVpaWmyWCyqXbu2rd0//elPio2NVbVq1dS1a1dJ0syZM9W8eXNVrFhRwcHBGj58uC5cuGBrb9KkSbr//vvttjFr1ixbu5J07do1xcbGqkqVKvLz89Po0aPFn1gE7n4EIAB3nd27d+vPf/6zpkyZooMHD+qzzz5Tu3btbrne7NmzNWXKFNWsWVPp6enatWuXbdn777+vcuXKaceOHXr33XclSW5ubpozZ47279+v999/X5s3b9bo0aOL1NcZM2ZoyZIlWrx4sb766iudOXNGq1atKtoOA7jjuAQG4K6TlpamihUrqmfPnqpcubJCQkLUsmXLW65ntVpVuXJlubu7q0aNGnbL/vCHP2jatGl2ZTfecF2nTh399a9/1R//+EfNnz+/0H2dNWuW4uLi1KdPH0nSwoUL9fnnnxd6fQCuwQgQgLtO165dFRISorp16yomJkYffvihLl68eFtttm7d2qFsy5Yt6tq1q+677z5VrlxZ/fv31+nTp5WdnV2oNjMzM5Wenq7w8HBbWbly5ZxuC8DdhQAE4K5TuXJlffvtt0pMTFRgYKAmTpyo0NBQnTt3rthtVqxY0W7+119/Vffu3dWsWTMlJSVpz549mjdvniTpypUrkq5fIrv5fp68ZQDKNgIQgLtSuXLl1KVLF02bNk3fffedjh49qs2bN5dY+7t379bVq1c1Y8YMtW3bVg0aNNCJEyfs6lSvXl0ZGRl2IejG3xWyWq0KDAzU119/bSu7evWq9uzZU2L9BFA6uAcIwF3n008/1X/+8x+1a9dOVatW1fr165Wbm6uGDRuW2Dbq1aunq1ev6p133lGvXr20Y8cOLVy40K5Ohw4d9Ntvv2natGl68skn9dlnn2nDhg3y8fGx1RkxYoTeeust1a9fX40bN9bMmTNva6QKwJ3BCBCAu06VKlW0cuVKderUSY0bN9bChQuVmJiopk2bltg27r//fs2cOVNTp05Vs2bN9OGHHyo+Pt6uTuPGjTV//nzNmzdPoaGh+ve//61Ro0bZ1XnttdfUv39/DRw4UOHh4apcubIef/zxEusngNJhMfjBCgAAYDKMAAEAANMhAAEoM9LS0lSpUqV8p7S0NFd3EUAZwSUwAGXG1atXdfTo0XyX165dW+XK8WwHgFsjAAEAANPhEhgAADAdAhAAADAdAhAAADAdAhAAADAdAhAAADAdAhAAADAdAhAAADCd/wdIj1g6hHusIwAAAABJRU5ErkJggg==",
      "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",
    "sns.countplot(data=data, x='is_fraud')\n",
    "plt.title('Distribution of Fraudulent vs Non-Fraudulent Transactions')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "id": "8c0f1240",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "555719\n",
      "0\n"
     ]
    }
   ],
   "source": [
    "print(data.index.duplicated().sum())\n",
    "data = data.reset_index(drop=True)\n",
    "print(data.index.duplicated().sum())"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "id": "c7636760",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1200x600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(12, 6))\n",
    "sns.countplot(data=data, y='category', hue='is_fraud')\n",
    "plt.title('Transaction Counts by Category and Fraud Status')\n",
    "plt.xticks(rotation=0)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "id": "4b6a2672",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "## The 0 represent male and 1 represent female\n",
    "sns.countplot(data=data, x='gender', hue='is_fraud')\n",
    "plt.title('Transaction Counts by Gender and Fraud Status')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "id": "8033e84c",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 2000x1000 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(20,10))\n",
    "sns.heatmap(data.corr(), annot=True, cmap='Blues')\n",
    "plt.title('Correlation Heatmap')\n",
    "plt.show()\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "id": "f84733e4",
   "metadata": {},
   "outputs": [],
   "source": [
    "X = data.drop('is_fraud', axis=1)\n",
    "y = data['is_fraud']\n",
    "\n",
    "X_train, X_test, y_train, y_test = train_test_split(X, y, test_size=0.2, random_state=42)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "id": "18210366",
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "C:\\Users\\chatt\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:460: ConvergenceWarning: lbfgs failed to converge (status=2):\n",
      "ABNORMAL_TERMINATION_IN_LNSRCH.\n",
      "\n",
      "Increase the number of iterations (max_iter) or 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",
      "C:\\Users\\chatt\\anaconda3\\Lib\\site-packages\\sklearn\\metrics\\_classification.py:1469: UndefinedMetricWarning: Precision and F-score are ill-defined and being set to 0.0 in labels with no predicted samples. Use `zero_division` parameter to control this behavior.\n",
      "  _warn_prf(average, modifier, msg_start, len(result))\n",
      "C:\\Users\\chatt\\anaconda3\\Lib\\site-packages\\sklearn\\metrics\\_classification.py:1469: UndefinedMetricWarning: Precision and F-score are ill-defined and being set to 0.0 in labels with no predicted samples. Use `zero_division` parameter to control this behavior.\n",
      "  _warn_prf(average, modifier, msg_start, len(result))\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "              precision    recall  f1-score   support\n",
      "\n",
      "           0       0.99      1.00      1.00    368526\n",
      "           1       0.00      0.00      0.00      1953\n",
      "\n",
      "    accuracy                           0.99    370479\n",
      "   macro avg       0.50      0.50      0.50    370479\n",
      "weighted avg       0.99      0.99      0.99    370479\n",
      "\n",
      "[[368526      0]\n",
      " [  1953      0]]\n",
      "Accuracy: 0.9947284461467452\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "C:\\Users\\chatt\\anaconda3\\Lib\\site-packages\\sklearn\\metrics\\_classification.py:1469: UndefinedMetricWarning: Precision and F-score are ill-defined and being set to 0.0 in labels with no predicted samples. Use `zero_division` parameter to control this behavior.\n",
      "  _warn_prf(average, modifier, msg_start, len(result))\n"
     ]
    }
   ],
   "source": [
    "# Training the model for logisticRegression\n",
    "log_model = LogisticRegression(max_iter=1000)\n",
    "log_model.fit(X_train, y_train)\n",
    "y_pred = log_model.predict(X_test)\n",
    "print(classification_report(y_test, y_pred))\n",
    "print(confusion_matrix(y_test, y_pred))\n",
    "print(\"Accuracy:\", accuracy_score(y_test, y_pred))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "id": "64686eff",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "              precision    recall  f1-score   support\n",
      "\n",
      "           0       1.00      1.00      1.00    368526\n",
      "           1       0.80      0.84      0.82      1953\n",
      "\n",
      "    accuracy                           1.00    370479\n",
      "   macro avg       0.90      0.92      0.91    370479\n",
      "weighted avg       1.00      1.00      1.00    370479\n",
      "\n",
      "[[368119    407]\n",
      " [   311   1642]]\n",
      "Accuracy: 0.998061968424661\n"
     ]
    }
   ],
   "source": [
    "# Training the model with DecisionTreeClassifier\n",
    "tree_model = DecisionTreeClassifier()\n",
    "tree_model.fit(X_train, y_train)\n",
    "\n",
    "y_pred = tree_model.predict(X_test)\n",
    "print(classification_report(y_test, y_pred))\n",
    "print(confusion_matrix(y_test, y_pred))\n",
    "print(\"Accuracy:\", accuracy_score(y_test, y_pred))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "id": "7fd6c9cf",
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "C:\\Users\\chatt\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:460: ConvergenceWarning: lbfgs failed to converge (status=2):\n",
      "ABNORMAL_TERMINATION_IN_LNSRCH.\n",
      "\n",
      "Increase the number of iterations (max_iter) or 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",
      "C:\\Users\\chatt\\anaconda3\\Lib\\site-packages\\sklearn\\metrics\\_classification.py:1469: UndefinedMetricWarning: Precision and F-score are ill-defined and being set to 0.0 in labels with no predicted samples. Use `zero_division` parameter to control this behavior.\n",
      "  _warn_prf(average, modifier, msg_start, len(result))\n",
      "C:\\Users\\chatt\\anaconda3\\Lib\\site-packages\\sklearn\\metrics\\_classification.py:1469: UndefinedMetricWarning: Precision and F-score are ill-defined and being set to 0.0 in labels with no predicted samples. Use `zero_division` parameter to control this behavior.\n",
      "  _warn_prf(average, modifier, msg_start, len(result))\n",
      "C:\\Users\\chatt\\anaconda3\\Lib\\site-packages\\sklearn\\metrics\\_classification.py:1469: UndefinedMetricWarning: Precision and F-score are ill-defined and being set to 0.0 in labels with no predicted samples. Use `zero_division` parameter to control this behavior.\n",
      "  _warn_prf(average, modifier, msg_start, len(result))\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "              precision    recall  f1-score   support\n",
      "\n",
      "           0       0.99      1.00      1.00    368526\n",
      "           1       0.00      0.00      0.00      1953\n",
      "\n",
      "    accuracy                           0.99    370479\n",
      "   macro avg       0.50      0.50      0.50    370479\n",
      "weighted avg       0.99      0.99      0.99    370479\n",
      "\n",
      "[[368526      0]\n",
      " [  1953      0]]\n",
      "Accuracy: 0.9947284461467452\n"
     ]
    }
   ],
   "source": [
    "# Training the model with logistic Regression\n",
    "lr_model = LogisticRegression(max_iter=1000)\n",
    "lr_model.fit(X_train, y_train)\n",
    "\n",
    "y_pred = lr_model.predict(X_test)\n",
    "print(classification_report(y_test, y_pred))\n",
    "print(confusion_matrix(y_test, y_pred))\n",
    "print(\"Accuracy:\", accuracy_score(y_test, y_pred))\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "e6fccec9",
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3 (ipykernel)",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.11.5"
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 },
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