Card_Fraud_detection.ipynb

{
  "cells": [
    {
      "cell_type": "code",
      "execution_count": null,
      "id": "626aa2ba",
      "metadata": {
        "id": "626aa2ba"
      },
      "outputs": [],
      "source": [
        "import pandas as pd\n",
        "import numpy as np\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.metrics import accuracy_score"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "id": "3eb58e26",
      "metadata": {
        "id": "3eb58e26"
      },
      "outputs": [],
      "source": [
        "file=pd.read_csv(\"creditcard.csv\")"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "id": "4bda3eef",
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        "id": "4bda3eef",
        "outputId": "48f5b5a9-d020-4c27-f1d8-4cf18c1bd5aa"
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              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>Time</th>\n",
              "      <th>V1</th>\n",
              "      <th>V2</th>\n",
              "      <th>V3</th>\n",
              "      <th>V4</th>\n",
              "      <th>V5</th>\n",
              "      <th>V6</th>\n",
              "      <th>V7</th>\n",
              "      <th>V8</th>\n",
              "      <th>V9</th>\n",
              "      <th>...</th>\n",
              "      <th>V21</th>\n",
              "      <th>V22</th>\n",
              "      <th>V23</th>\n",
              "      <th>V24</th>\n",
              "      <th>V25</th>\n",
              "      <th>V26</th>\n",
              "      <th>V27</th>\n",
              "      <th>V28</th>\n",
              "      <th>Amount</th>\n",
              "      <th>Class</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>0.0</td>\n",
              "      <td>-1.359807</td>\n",
              "      <td>-0.072781</td>\n",
              "      <td>2.536347</td>\n",
              "      <td>1.378155</td>\n",
              "      <td>-0.338321</td>\n",
              "      <td>0.462388</td>\n",
              "      <td>0.239599</td>\n",
              "      <td>0.098698</td>\n",
              "      <td>0.363787</td>\n",
              "      <td>...</td>\n",
              "      <td>-0.018307</td>\n",
              "      <td>0.277838</td>\n",
              "      <td>-0.110474</td>\n",
              "      <td>0.066928</td>\n",
              "      <td>0.128539</td>\n",
              "      <td>-0.189115</td>\n",
              "      <td>0.133558</td>\n",
              "      <td>-0.021053</td>\n",
              "      <td>149.62</td>\n",
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              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>0.0</td>\n",
              "      <td>1.191857</td>\n",
              "      <td>0.266151</td>\n",
              "      <td>0.166480</td>\n",
              "      <td>0.448154</td>\n",
              "      <td>0.060018</td>\n",
              "      <td>-0.082361</td>\n",
              "      <td>-0.078803</td>\n",
              "      <td>0.085102</td>\n",
              "      <td>-0.255425</td>\n",
              "      <td>...</td>\n",
              "      <td>-0.225775</td>\n",
              "      <td>-0.638672</td>\n",
              "      <td>0.101288</td>\n",
              "      <td>-0.339846</td>\n",
              "      <td>0.167170</td>\n",
              "      <td>0.125895</td>\n",
              "      <td>-0.008983</td>\n",
              "      <td>0.014724</td>\n",
              "      <td>2.69</td>\n",
              "      <td>0</td>\n",
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              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>1.0</td>\n",
              "      <td>-1.358354</td>\n",
              "      <td>-1.340163</td>\n",
              "      <td>1.773209</td>\n",
              "      <td>0.379780</td>\n",
              "      <td>-0.503198</td>\n",
              "      <td>1.800499</td>\n",
              "      <td>0.791461</td>\n",
              "      <td>0.247676</td>\n",
              "      <td>-1.514654</td>\n",
              "      <td>...</td>\n",
              "      <td>0.247998</td>\n",
              "      <td>0.771679</td>\n",
              "      <td>0.909412</td>\n",
              "      <td>-0.689281</td>\n",
              "      <td>-0.327642</td>\n",
              "      <td>-0.139097</td>\n",
              "      <td>-0.055353</td>\n",
              "      <td>-0.059752</td>\n",
              "      <td>378.66</td>\n",
              "      <td>0</td>\n",
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              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>1.0</td>\n",
              "      <td>-0.966272</td>\n",
              "      <td>-0.185226</td>\n",
              "      <td>1.792993</td>\n",
              "      <td>-0.863291</td>\n",
              "      <td>-0.010309</td>\n",
              "      <td>1.247203</td>\n",
              "      <td>0.237609</td>\n",
              "      <td>0.377436</td>\n",
              "      <td>-1.387024</td>\n",
              "      <td>...</td>\n",
              "      <td>-0.108300</td>\n",
              "      <td>0.005274</td>\n",
              "      <td>-0.190321</td>\n",
              "      <td>-1.175575</td>\n",
              "      <td>0.647376</td>\n",
              "      <td>-0.221929</td>\n",
              "      <td>0.062723</td>\n",
              "      <td>0.061458</td>\n",
              "      <td>123.50</td>\n",
              "      <td>0</td>\n",
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              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>2.0</td>\n",
              "      <td>-1.158233</td>\n",
              "      <td>0.877737</td>\n",
              "      <td>1.548718</td>\n",
              "      <td>0.403034</td>\n",
              "      <td>-0.407193</td>\n",
              "      <td>0.095921</td>\n",
              "      <td>0.592941</td>\n",
              "      <td>-0.270533</td>\n",
              "      <td>0.817739</td>\n",
              "      <td>...</td>\n",
              "      <td>-0.009431</td>\n",
              "      <td>0.798278</td>\n",
              "      <td>-0.137458</td>\n",
              "      <td>0.141267</td>\n",
              "      <td>-0.206010</td>\n",
              "      <td>0.502292</td>\n",
              "      <td>0.219422</td>\n",
              "      <td>0.215153</td>\n",
              "      <td>69.99</td>\n",
              "      <td>0</td>\n",
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              "    <tr>\n",
              "      <th>5</th>\n",
              "      <td>2.0</td>\n",
              "      <td>-0.425966</td>\n",
              "      <td>0.960523</td>\n",
              "      <td>1.141109</td>\n",
              "      <td>-0.168252</td>\n",
              "      <td>0.420987</td>\n",
              "      <td>-0.029728</td>\n",
              "      <td>0.476201</td>\n",
              "      <td>0.260314</td>\n",
              "      <td>-0.568671</td>\n",
              "      <td>...</td>\n",
              "      <td>-0.208254</td>\n",
              "      <td>-0.559825</td>\n",
              "      <td>-0.026398</td>\n",
              "      <td>-0.371427</td>\n",
              "      <td>-0.232794</td>\n",
              "      <td>0.105915</td>\n",
              "      <td>0.253844</td>\n",
              "      <td>0.081080</td>\n",
              "      <td>3.67</td>\n",
              "      <td>0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>6</th>\n",
              "      <td>4.0</td>\n",
              "      <td>1.229658</td>\n",
              "      <td>0.141004</td>\n",
              "      <td>0.045371</td>\n",
              "      <td>1.202613</td>\n",
              "      <td>0.191881</td>\n",
              "      <td>0.272708</td>\n",
              "      <td>-0.005159</td>\n",
              "      <td>0.081213</td>\n",
              "      <td>0.464960</td>\n",
              "      <td>...</td>\n",
              "      <td>-0.167716</td>\n",
              "      <td>-0.270710</td>\n",
              "      <td>-0.154104</td>\n",
              "      <td>-0.780055</td>\n",
              "      <td>0.750137</td>\n",
              "      <td>-0.257237</td>\n",
              "      <td>0.034507</td>\n",
              "      <td>0.005168</td>\n",
              "      <td>4.99</td>\n",
              "      <td>0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>7</th>\n",
              "      <td>7.0</td>\n",
              "      <td>-0.644269</td>\n",
              "      <td>1.417964</td>\n",
              "      <td>1.074380</td>\n",
              "      <td>-0.492199</td>\n",
              "      <td>0.948934</td>\n",
              "      <td>0.428118</td>\n",
              "      <td>1.120631</td>\n",
              "      <td>-3.807864</td>\n",
              "      <td>0.615375</td>\n",
              "      <td>...</td>\n",
              "      <td>1.943465</td>\n",
              "      <td>-1.015455</td>\n",
              "      <td>0.057504</td>\n",
              "      <td>-0.649709</td>\n",
              "      <td>-0.415267</td>\n",
              "      <td>-0.051634</td>\n",
              "      <td>-1.206921</td>\n",
              "      <td>-1.085339</td>\n",
              "      <td>40.80</td>\n",
              "      <td>0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>8</th>\n",
              "      <td>7.0</td>\n",
              "      <td>-0.894286</td>\n",
              "      <td>0.286157</td>\n",
              "      <td>-0.113192</td>\n",
              "      <td>-0.271526</td>\n",
              "      <td>2.669599</td>\n",
              "      <td>3.721818</td>\n",
              "      <td>0.370145</td>\n",
              "      <td>0.851084</td>\n",
              "      <td>-0.392048</td>\n",
              "      <td>...</td>\n",
              "      <td>-0.073425</td>\n",
              "      <td>-0.268092</td>\n",
              "      <td>-0.204233</td>\n",
              "      <td>1.011592</td>\n",
              "      <td>0.373205</td>\n",
              "      <td>-0.384157</td>\n",
              "      <td>0.011747</td>\n",
              "      <td>0.142404</td>\n",
              "      <td>93.20</td>\n",
              "      <td>0</td>\n",
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              "    <tr>\n",
              "      <th>9</th>\n",
              "      <td>9.0</td>\n",
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              "      <td>1.119593</td>\n",
              "      <td>1.044367</td>\n",
              "      <td>-0.222187</td>\n",
              "      <td>0.499361</td>\n",
              "      <td>-0.246761</td>\n",
              "      <td>0.651583</td>\n",
              "      <td>0.069539</td>\n",
              "      <td>-0.736727</td>\n",
              "      <td>...</td>\n",
              "      <td>-0.246914</td>\n",
              "      <td>-0.633753</td>\n",
              "      <td>-0.120794</td>\n",
              "      <td>-0.385050</td>\n",
              "      <td>-0.069733</td>\n",
              "      <td>0.094199</td>\n",
              "      <td>0.246219</td>\n",
              "      <td>0.083076</td>\n",
              "      <td>3.68</td>\n",
              "      <td>0</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "<p>10 rows × 31 columns</p>\n",
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            ],
            "text/plain": [
              "   Time        V1        V2        V3        V4        V5        V6        V7  \\\n",
              "0   0.0 -1.359807 -0.072781  2.536347  1.378155 -0.338321  0.462388  0.239599   \n",
              "1   0.0  1.191857  0.266151  0.166480  0.448154  0.060018 -0.082361 -0.078803   \n",
              "2   1.0 -1.358354 -1.340163  1.773209  0.379780 -0.503198  1.800499  0.791461   \n",
              "3   1.0 -0.966272 -0.185226  1.792993 -0.863291 -0.010309  1.247203  0.237609   \n",
              "4   2.0 -1.158233  0.877737  1.548718  0.403034 -0.407193  0.095921  0.592941   \n",
              "5   2.0 -0.425966  0.960523  1.141109 -0.168252  0.420987 -0.029728  0.476201   \n",
              "6   4.0  1.229658  0.141004  0.045371  1.202613  0.191881  0.272708 -0.005159   \n",
              "7   7.0 -0.644269  1.417964  1.074380 -0.492199  0.948934  0.428118  1.120631   \n",
              "8   7.0 -0.894286  0.286157 -0.113192 -0.271526  2.669599  3.721818  0.370145   \n",
              "9   9.0 -0.338262  1.119593  1.044367 -0.222187  0.499361 -0.246761  0.651583   \n",
              "\n",
              "         V8        V9  ...       V21       V22       V23       V24       V25  \\\n",
              "0  0.098698  0.363787  ... -0.018307  0.277838 -0.110474  0.066928  0.128539   \n",
              "1  0.085102 -0.255425  ... -0.225775 -0.638672  0.101288 -0.339846  0.167170   \n",
              "2  0.247676 -1.514654  ...  0.247998  0.771679  0.909412 -0.689281 -0.327642   \n",
              "3  0.377436 -1.387024  ... -0.108300  0.005274 -0.190321 -1.175575  0.647376   \n",
              "4 -0.270533  0.817739  ... -0.009431  0.798278 -0.137458  0.141267 -0.206010   \n",
              "5  0.260314 -0.568671  ... -0.208254 -0.559825 -0.026398 -0.371427 -0.232794   \n",
              "6  0.081213  0.464960  ... -0.167716 -0.270710 -0.154104 -0.780055  0.750137   \n",
              "7 -3.807864  0.615375  ...  1.943465 -1.015455  0.057504 -0.649709 -0.415267   \n",
              "8  0.851084 -0.392048  ... -0.073425 -0.268092 -0.204233  1.011592  0.373205   \n",
              "9  0.069539 -0.736727  ... -0.246914 -0.633753 -0.120794 -0.385050 -0.069733   \n",
              "\n",
              "        V26       V27       V28  Amount  Class  \n",
              "0 -0.189115  0.133558 -0.021053  149.62      0  \n",
              "1  0.125895 -0.008983  0.014724    2.69      0  \n",
              "2 -0.139097 -0.055353 -0.059752  378.66      0  \n",
              "3 -0.221929  0.062723  0.061458  123.50      0  \n",
              "4  0.502292  0.219422  0.215153   69.99      0  \n",
              "5  0.105915  0.253844  0.081080    3.67      0  \n",
              "6 -0.257237  0.034507  0.005168    4.99      0  \n",
              "7 -0.051634 -1.206921 -1.085339   40.80      0  \n",
              "8 -0.384157  0.011747  0.142404   93.20      0  \n",
              "9  0.094199  0.246219  0.083076    3.68      0  \n",
              "\n",
              "[10 rows x 31 columns]"
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              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>Time</th>\n",
              "      <th>V1</th>\n",
              "      <th>V2</th>\n",
              "      <th>V3</th>\n",
              "      <th>V4</th>\n",
              "      <th>V5</th>\n",
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              "      <th>V21</th>\n",
              "      <th>V22</th>\n",
              "      <th>V23</th>\n",
              "      <th>V24</th>\n",
              "      <th>V25</th>\n",
              "      <th>V26</th>\n",
              "      <th>V27</th>\n",
              "      <th>V28</th>\n",
              "      <th>Amount</th>\n",
              "      <th>Class</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>count</th>\n",
              "      <td>284807.000000</td>\n",
              "      <td>2.848070e+05</td>\n",
              "      <td>2.848070e+05</td>\n",
              "      <td>2.848070e+05</td>\n",
              "      <td>2.848070e+05</td>\n",
              "      <td>2.848070e+05</td>\n",
              "      <td>2.848070e+05</td>\n",
              "      <td>2.848070e+05</td>\n",
              "      <td>2.848070e+05</td>\n",
              "      <td>2.848070e+05</td>\n",
              "      <td>...</td>\n",
              "      <td>2.848070e+05</td>\n",
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              "      <td>2.848070e+05</td>\n",
              "      <td>2.848070e+05</td>\n",
              "      <td>2.848070e+05</td>\n",
              "      <td>2.848070e+05</td>\n",
              "      <td>2.848070e+05</td>\n",
              "      <td>2.848070e+05</td>\n",
              "      <td>284807.000000</td>\n",
              "      <td>284807.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>mean</th>\n",
              "      <td>94813.859575</td>\n",
              "      <td>1.168375e-15</td>\n",
              "      <td>3.416908e-16</td>\n",
              "      <td>-1.379537e-15</td>\n",
              "      <td>2.074095e-15</td>\n",
              "      <td>9.604066e-16</td>\n",
              "      <td>1.487313e-15</td>\n",
              "      <td>-5.556467e-16</td>\n",
              "      <td>1.213481e-16</td>\n",
              "      <td>-2.406331e-15</td>\n",
              "      <td>...</td>\n",
              "      <td>1.654067e-16</td>\n",
              "      <td>-3.568593e-16</td>\n",
              "      <td>2.578648e-16</td>\n",
              "      <td>4.473266e-15</td>\n",
              "      <td>5.340915e-16</td>\n",
              "      <td>1.683437e-15</td>\n",
              "      <td>-3.660091e-16</td>\n",
              "      <td>-1.227390e-16</td>\n",
              "      <td>88.349619</td>\n",
              "      <td>0.001727</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>std</th>\n",
              "      <td>47488.145955</td>\n",
              "      <td>1.958696e+00</td>\n",
              "      <td>1.651309e+00</td>\n",
              "      <td>1.516255e+00</td>\n",
              "      <td>1.415869e+00</td>\n",
              "      <td>1.380247e+00</td>\n",
              "      <td>1.332271e+00</td>\n",
              "      <td>1.237094e+00</td>\n",
              "      <td>1.194353e+00</td>\n",
              "      <td>1.098632e+00</td>\n",
              "      <td>...</td>\n",
              "      <td>7.345240e-01</td>\n",
              "      <td>7.257016e-01</td>\n",
              "      <td>6.244603e-01</td>\n",
              "      <td>6.056471e-01</td>\n",
              "      <td>5.212781e-01</td>\n",
              "      <td>4.822270e-01</td>\n",
              "      <td>4.036325e-01</td>\n",
              "      <td>3.300833e-01</td>\n",
              "      <td>250.120109</td>\n",
              "      <td>0.041527</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>min</th>\n",
              "      <td>0.000000</td>\n",
              "      <td>-5.640751e+01</td>\n",
              "      <td>-7.271573e+01</td>\n",
              "      <td>-4.832559e+01</td>\n",
              "      <td>-5.683171e+00</td>\n",
              "      <td>-1.137433e+02</td>\n",
              "      <td>-2.616051e+01</td>\n",
              "      <td>-4.355724e+01</td>\n",
              "      <td>-7.321672e+01</td>\n",
              "      <td>-1.343407e+01</td>\n",
              "      <td>...</td>\n",
              "      <td>-3.483038e+01</td>\n",
              "      <td>-1.093314e+01</td>\n",
              "      <td>-4.480774e+01</td>\n",
              "      <td>-2.836627e+00</td>\n",
              "      <td>-1.029540e+01</td>\n",
              "      <td>-2.604551e+00</td>\n",
              "      <td>-2.256568e+01</td>\n",
              "      <td>-1.543008e+01</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>25%</th>\n",
              "      <td>54201.500000</td>\n",
              "      <td>-9.203734e-01</td>\n",
              "      <td>-5.985499e-01</td>\n",
              "      <td>-8.903648e-01</td>\n",
              "      <td>-8.486401e-01</td>\n",
              "      <td>-6.915971e-01</td>\n",
              "      <td>-7.682956e-01</td>\n",
              "      <td>-5.540759e-01</td>\n",
              "      <td>-2.086297e-01</td>\n",
              "      <td>-6.430976e-01</td>\n",
              "      <td>...</td>\n",
              "      <td>-2.283949e-01</td>\n",
              "      <td>-5.423504e-01</td>\n",
              "      <td>-1.618463e-01</td>\n",
              "      <td>-3.545861e-01</td>\n",
              "      <td>-3.171451e-01</td>\n",
              "      <td>-3.269839e-01</td>\n",
              "      <td>-7.083953e-02</td>\n",
              "      <td>-5.295979e-02</td>\n",
              "      <td>5.600000</td>\n",
              "      <td>0.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>50%</th>\n",
              "      <td>84692.000000</td>\n",
              "      <td>1.810880e-02</td>\n",
              "      <td>6.548556e-02</td>\n",
              "      <td>1.798463e-01</td>\n",
              "      <td>-1.984653e-02</td>\n",
              "      <td>-5.433583e-02</td>\n",
              "      <td>-2.741871e-01</td>\n",
              "      <td>4.010308e-02</td>\n",
              "      <td>2.235804e-02</td>\n",
              "      <td>-5.142873e-02</td>\n",
              "      <td>...</td>\n",
              "      <td>-2.945017e-02</td>\n",
              "      <td>6.781943e-03</td>\n",
              "      <td>-1.119293e-02</td>\n",
              "      <td>4.097606e-02</td>\n",
              "      <td>1.659350e-02</td>\n",
              "      <td>-5.213911e-02</td>\n",
              "      <td>1.342146e-03</td>\n",
              "      <td>1.124383e-02</td>\n",
              "      <td>22.000000</td>\n",
              "      <td>0.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>75%</th>\n",
              "      <td>139320.500000</td>\n",
              "      <td>1.315642e+00</td>\n",
              "      <td>8.037239e-01</td>\n",
              "      <td>1.027196e+00</td>\n",
              "      <td>7.433413e-01</td>\n",
              "      <td>6.119264e-01</td>\n",
              "      <td>3.985649e-01</td>\n",
              "      <td>5.704361e-01</td>\n",
              "      <td>3.273459e-01</td>\n",
              "      <td>5.971390e-01</td>\n",
              "      <td>...</td>\n",
              "      <td>1.863772e-01</td>\n",
              "      <td>5.285536e-01</td>\n",
              "      <td>1.476421e-01</td>\n",
              "      <td>4.395266e-01</td>\n",
              "      <td>3.507156e-01</td>\n",
              "      <td>2.409522e-01</td>\n",
              "      <td>9.104512e-02</td>\n",
              "      <td>7.827995e-02</td>\n",
              "      <td>77.165000</td>\n",
              "      <td>0.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>max</th>\n",
              "      <td>172792.000000</td>\n",
              "      <td>2.454930e+00</td>\n",
              "      <td>2.205773e+01</td>\n",
              "      <td>9.382558e+00</td>\n",
              "      <td>1.687534e+01</td>\n",
              "      <td>3.480167e+01</td>\n",
              "      <td>7.330163e+01</td>\n",
              "      <td>1.205895e+02</td>\n",
              "      <td>2.000721e+01</td>\n",
              "      <td>1.559499e+01</td>\n",
              "      <td>...</td>\n",
              "      <td>2.720284e+01</td>\n",
              "      <td>1.050309e+01</td>\n",
              "      <td>2.252841e+01</td>\n",
              "      <td>4.584549e+00</td>\n",
              "      <td>7.519589e+00</td>\n",
              "      <td>3.517346e+00</td>\n",
              "      <td>3.161220e+01</td>\n",
              "      <td>3.384781e+01</td>\n",
              "      <td>25691.160000</td>\n",
              "      <td>1.000000</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "<p>8 rows × 31 columns</p>\n",
              "</div>"
            ],
            "text/plain": [
              "                Time            V1            V2            V3            V4  \\\n",
              "count  284807.000000  2.848070e+05  2.848070e+05  2.848070e+05  2.848070e+05   \n",
              "mean    94813.859575  1.168375e-15  3.416908e-16 -1.379537e-15  2.074095e-15   \n",
              "std     47488.145955  1.958696e+00  1.651309e+00  1.516255e+00  1.415869e+00   \n",
              "min         0.000000 -5.640751e+01 -7.271573e+01 -4.832559e+01 -5.683171e+00   \n",
              "25%     54201.500000 -9.203734e-01 -5.985499e-01 -8.903648e-01 -8.486401e-01   \n",
              "50%     84692.000000  1.810880e-02  6.548556e-02  1.798463e-01 -1.984653e-02   \n",
              "75%    139320.500000  1.315642e+00  8.037239e-01  1.027196e+00  7.433413e-01   \n",
              "max    172792.000000  2.454930e+00  2.205773e+01  9.382558e+00  1.687534e+01   \n",
              "\n",
              "                 V5            V6            V7            V8            V9  \\\n",
              "count  2.848070e+05  2.848070e+05  2.848070e+05  2.848070e+05  2.848070e+05   \n",
              "mean   9.604066e-16  1.487313e-15 -5.556467e-16  1.213481e-16 -2.406331e-15   \n",
              "std    1.380247e+00  1.332271e+00  1.237094e+00  1.194353e+00  1.098632e+00   \n",
              "min   -1.137433e+02 -2.616051e+01 -4.355724e+01 -7.321672e+01 -1.343407e+01   \n",
              "25%   -6.915971e-01 -7.682956e-01 -5.540759e-01 -2.086297e-01 -6.430976e-01   \n",
              "50%   -5.433583e-02 -2.741871e-01  4.010308e-02  2.235804e-02 -5.142873e-02   \n",
              "75%    6.119264e-01  3.985649e-01  5.704361e-01  3.273459e-01  5.971390e-01   \n",
              "max    3.480167e+01  7.330163e+01  1.205895e+02  2.000721e+01  1.559499e+01   \n",
              "\n",
              "       ...           V21           V22           V23           V24  \\\n",
              "count  ...  2.848070e+05  2.848070e+05  2.848070e+05  2.848070e+05   \n",
              "mean   ...  1.654067e-16 -3.568593e-16  2.578648e-16  4.473266e-15   \n",
              "std    ...  7.345240e-01  7.257016e-01  6.244603e-01  6.056471e-01   \n",
              "min    ... -3.483038e+01 -1.093314e+01 -4.480774e+01 -2.836627e+00   \n",
              "25%    ... -2.283949e-01 -5.423504e-01 -1.618463e-01 -3.545861e-01   \n",
              "50%    ... -2.945017e-02  6.781943e-03 -1.119293e-02  4.097606e-02   \n",
              "75%    ...  1.863772e-01  5.285536e-01  1.476421e-01  4.395266e-01   \n",
              "max    ...  2.720284e+01  1.050309e+01  2.252841e+01  4.584549e+00   \n",
              "\n",
              "                V25           V26           V27           V28         Amount  \\\n",
              "count  2.848070e+05  2.848070e+05  2.848070e+05  2.848070e+05  284807.000000   \n",
              "mean   5.340915e-16  1.683437e-15 -3.660091e-16 -1.227390e-16      88.349619   \n",
              "std    5.212781e-01  4.822270e-01  4.036325e-01  3.300833e-01     250.120109   \n",
              "min   -1.029540e+01 -2.604551e+00 -2.256568e+01 -1.543008e+01       0.000000   \n",
              "25%   -3.171451e-01 -3.269839e-01 -7.083953e-02 -5.295979e-02       5.600000   \n",
              "50%    1.659350e-02 -5.213911e-02  1.342146e-03  1.124383e-02      22.000000   \n",
              "75%    3.507156e-01  2.409522e-01  9.104512e-02  7.827995e-02      77.165000   \n",
              "max    7.519589e+00  3.517346e+00  3.161220e+01  3.384781e+01   25691.160000   \n",
              "\n",
              "               Class  \n",
              "count  284807.000000  \n",
              "mean        0.001727  \n",
              "std         0.041527  \n",
              "min         0.000000  \n",
              "25%         0.000000  \n",
              "50%         0.000000  \n",
              "75%         0.000000  \n",
              "max         1.000000  \n",
              "\n",
              "[8 rows x 31 columns]"
            ]
          },
          "execution_count": 7,
          "metadata": {},
          "output_type": "execute_result"
        }
      ],
      "source": [
        "file.describe()"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "id": "16e7416d",
      "metadata": {
        "id": "16e7416d",
        "outputId": "95f1788e-503e-4ccb-aad1-09cbe500ba8a"
      },
      "outputs": [
        {
          "data": {
            "text/plain": [
              "Time      0\n",
              "V1        0\n",
              "V2        0\n",
              "V3        0\n",
              "V4        0\n",
              "V5        0\n",
              "V6        0\n",
              "V7        0\n",
              "V8        0\n",
              "V9        0\n",
              "V10       0\n",
              "V11       0\n",
              "V12       0\n",
              "V13       0\n",
              "V14       0\n",
              "V15       0\n",
              "V16       0\n",
              "V17       0\n",
              "V18       0\n",
              "V19       0\n",
              "V20       0\n",
              "V21       0\n",
              "V22       0\n",
              "V23       0\n",
              "V24       0\n",
              "V25       0\n",
              "V26       0\n",
              "V27       0\n",
              "V28       0\n",
              "Amount    0\n",
              "Class     0\n",
              "dtype: int64"
            ]
          },
          "execution_count": 9,
          "metadata": {},
          "output_type": "execute_result"
        }
      ],
      "source": [
        "file.isnull().sum()"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "id": "53568afc",
      "metadata": {
        "id": "53568afc",
        "outputId": "c9229283-f3a2-432f-e0d9-d3c59d0bdb3b"
      },
      "outputs": [
        {
          "data": {
            "text/plain": [
              "Class\n",
              "0    284315\n",
              "1       492\n",
              "Name: count, dtype: int64"
            ]
          },
          "execution_count": 10,
          "metadata": {},
          "output_type": "execute_result"
        }
      ],
      "source": [
        "file['Class'].value_counts()"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "id": "559d0247",
      "metadata": {
        "id": "559d0247"
      },
      "outputs": [],
      "source": [
        "normal=file[file.Class==0]"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "id": "4d3edf8d",
      "metadata": {
        "id": "4d3edf8d"
      },
      "outputs": [],
      "source": [
        "fraud=file[file.Class==1]"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "id": "c3eb9173",
      "metadata": {
        "id": "c3eb9173",
        "outputId": "76fa9ba6-ecda-47a9-9a2c-44da45a2df99"
      },
      "outputs": [
        {
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "(284315, 31)\n"
          ]
        }
      ],
      "source": [
        "print(normal.shape)"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "id": "506ef3f1",
      "metadata": {
        "id": "506ef3f1",
        "outputId": "3c72bf87-5667-4ed6-ebb8-d8882a3e1a7d"
      },
      "outputs": [
        {
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "(284315, 31)\n"
          ]
        }
      ],
      "source": [
        "print(normal.shape)"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "id": "b6dea312",
      "metadata": {
        "id": "b6dea312",
        "outputId": "b8d8a011-687e-4a55-8d13-b4c423287179"
      },
      "outputs": [
        {
          "data": {
            "text/plain": [
              "count    284315.000000\n",
              "mean         88.291022\n",
              "std         250.105092\n",
              "min           0.000000\n",
              "25%           5.650000\n",
              "50%          22.000000\n",
              "75%          77.050000\n",
              "max       25691.160000\n",
              "Name: Amount, dtype: float64"
            ]
          },
          "execution_count": 15,
          "metadata": {},
          "output_type": "execute_result"
        }
      ],
      "source": [
        "normal.Amount.describe()"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "id": "12d9bc1f",
      "metadata": {
        "id": "12d9bc1f",
        "outputId": "c2b63baf-3dd4-44c1-f881-b375c2902521"
      },
      "outputs": [
        {
          "data": {
            "text/plain": [
              "count     492.000000\n",
              "mean      122.211321\n",
              "std       256.683288\n",
              "min         0.000000\n",
              "25%         1.000000\n",
              "50%         9.250000\n",
              "75%       105.890000\n",
              "max      2125.870000\n",
              "Name: Amount, dtype: float64"
            ]
          },
          "execution_count": 16,
          "metadata": {},
          "output_type": "execute_result"
        }
      ],
      "source": [
        "fraud.Amount.describe()"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "id": "4e55deed",
      "metadata": {
        "id": "4e55deed",
        "outputId": "9cde569f-8866-4c7b-85d8-7b6d1fe0cc7c"
      },
      "outputs": [
        {
          "data": {
            "text/html": [
              "<div>\n",
              "<style scoped>\n",
              "    .dataframe tbody tr th:only-of-type {\n",
              "        vertical-align: middle;\n",
              "    }\n",
              "\n",
              "    .dataframe tbody tr th {\n",
              "        vertical-align: top;\n",
              "    }\n",
              "\n",
              "    .dataframe thead th {\n",
              "        text-align: right;\n",
              "    }\n",
              "</style>\n",
              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>Time</th>\n",
              "      <th>V1</th>\n",
              "      <th>V2</th>\n",
              "      <th>V3</th>\n",
              "      <th>V4</th>\n",
              "      <th>V5</th>\n",
              "      <th>V6</th>\n",
              "      <th>V7</th>\n",
              "      <th>V8</th>\n",
              "      <th>V9</th>\n",
              "      <th>...</th>\n",
              "      <th>V20</th>\n",
              "      <th>V21</th>\n",
              "      <th>V22</th>\n",
              "      <th>V23</th>\n",
              "      <th>V24</th>\n",
              "      <th>V25</th>\n",
              "      <th>V26</th>\n",
              "      <th>V27</th>\n",
              "      <th>V28</th>\n",
              "      <th>Amount</th>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Class</th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>94838.202258</td>\n",
              "      <td>0.008258</td>\n",
              "      <td>-0.006271</td>\n",
              "      <td>0.012171</td>\n",
              "      <td>-0.007860</td>\n",
              "      <td>0.005453</td>\n",
              "      <td>0.002419</td>\n",
              "      <td>0.009637</td>\n",
              "      <td>-0.000987</td>\n",
              "      <td>0.004467</td>\n",
              "      <td>...</td>\n",
              "      <td>-0.000644</td>\n",
              "      <td>-0.001235</td>\n",
              "      <td>-0.000024</td>\n",
              "      <td>0.000070</td>\n",
              "      <td>0.000182</td>\n",
              "      <td>-0.000072</td>\n",
              "      <td>-0.000089</td>\n",
              "      <td>-0.000295</td>\n",
              "      <td>-0.000131</td>\n",
              "      <td>88.291022</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>80746.806911</td>\n",
              "      <td>-4.771948</td>\n",
              "      <td>3.623778</td>\n",
              "      <td>-7.033281</td>\n",
              "      <td>4.542029</td>\n",
              "      <td>-3.151225</td>\n",
              "      <td>-1.397737</td>\n",
              "      <td>-5.568731</td>\n",
              "      <td>0.570636</td>\n",
              "      <td>-2.581123</td>\n",
              "      <td>...</td>\n",
              "      <td>0.372319</td>\n",
              "      <td>0.713588</td>\n",
              "      <td>0.014049</td>\n",
              "      <td>-0.040308</td>\n",
              "      <td>-0.105130</td>\n",
              "      <td>0.041449</td>\n",
              "      <td>0.051648</td>\n",
              "      <td>0.170575</td>\n",
              "      <td>0.075667</td>\n",
              "      <td>122.211321</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "<p>2 rows × 30 columns</p>\n",
              "</div>"
            ],
            "text/plain": [
              "               Time        V1        V2        V3        V4        V5  \\\n",
              "Class                                                                   \n",
              "0      94838.202258  0.008258 -0.006271  0.012171 -0.007860  0.005453   \n",
              "1      80746.806911 -4.771948  3.623778 -7.033281  4.542029 -3.151225   \n",
              "\n",
              "             V6        V7        V8        V9  ...       V20       V21  \\\n",
              "Class                                          ...                       \n",
              "0      0.002419  0.009637 -0.000987  0.004467  ... -0.000644 -0.001235   \n",
              "1     -1.397737 -5.568731  0.570636 -2.581123  ...  0.372319  0.713588   \n",
              "\n",
              "            V22       V23       V24       V25       V26       V27       V28  \\\n",
              "Class                                                                         \n",
              "0     -0.000024  0.000070  0.000182 -0.000072 -0.000089 -0.000295 -0.000131   \n",
              "1      0.014049 -0.040308 -0.105130  0.041449  0.051648  0.170575  0.075667   \n",
              "\n",
              "           Amount  \n",
              "Class              \n",
              "0       88.291022  \n",
              "1      122.211321  \n",
              "\n",
              "[2 rows x 30 columns]"
            ]
          },
          "execution_count": 17,
          "metadata": {},
          "output_type": "execute_result"
        }
      ],
      "source": [
        "file.groupby('Class').mean()"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "id": "936b7f66",
      "metadata": {
        "id": "936b7f66"
      },
      "outputs": [],
      "source": [
        "normal_sample=normal.sample(n=492)"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "id": "96447a0e",
      "metadata": {
        "id": "96447a0e"
      },
      "outputs": [],
      "source": [
        "new_file=pd.concat([normal_sample,fraud],axis=0)"
      ]
    },
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      "execution_count": null,
      "id": "f46056a3",
      "metadata": {
        "id": "f46056a3",
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              "      <th>Time</th>\n",
              "      <th>V1</th>\n",
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              "      <th>V3</th>\n",
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              "      <th>Class</th>\n",
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              "      <th>125463</th>\n",
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              "      <td>-0.067907</td>\n",
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              "      <td>-0.574867</td>\n",
              "      <td>0.073148</td>\n",
              "      <td>0.824038</td>\n",
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              "      <td>0.047279</td>\n",
              "      <td>0.537200</td>\n",
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              "      <td>0.052524</td>\n",
              "      <td>-0.007153</td>\n",
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              "      <th>92157</th>\n",
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              "      <td>1.338100</td>\n",
              "      <td>0.207452</td>\n",
              "      <td>-1.211645</td>\n",
              "      <td>0.405677</td>\n",
              "      <td>-0.323860</td>\n",
              "      <td>-0.299748</td>\n",
              "      <td>...</td>\n",
              "      <td>-0.051857</td>\n",
              "      <td>-0.009029</td>\n",
              "      <td>-0.140097</td>\n",
              "      <td>0.289894</td>\n",
              "      <td>0.737743</td>\n",
              "      <td>-0.332029</td>\n",
              "      <td>0.044262</td>\n",
              "      <td>0.060466</td>\n",
              "      <td>1.00</td>\n",
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              "      <th>52038</th>\n",
              "      <td>45247.0</td>\n",
              "      <td>1.315832</td>\n",
              "      <td>-0.605067</td>\n",
              "      <td>-1.169475</td>\n",
              "      <td>-0.388209</td>\n",
              "      <td>1.665695</td>\n",
              "      <td>3.666392</td>\n",
              "      <td>-0.812412</td>\n",
              "      <td>0.825635</td>\n",
              "      <td>-0.884281</td>\n",
              "      <td>...</td>\n",
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              "      <td>-1.070260</td>\n",
              "      <td>-0.071266</td>\n",
              "      <td>0.968097</td>\n",
              "      <td>0.771812</td>\n",
              "      <td>-0.328222</td>\n",
              "      <td>0.045637</td>\n",
              "      <td>0.022512</td>\n",
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              "      <th>103715</th>\n",
              "      <td>68773.0</td>\n",
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              "      <td>-1.192113</td>\n",
              "      <td>0.706625</td>\n",
              "      <td>-1.559414</td>\n",
              "      <td>-1.461803</td>\n",
              "      <td>0.150953</td>\n",
              "      <td>-1.414266</td>\n",
              "      <td>0.185914</td>\n",
              "      <td>-1.827102</td>\n",
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              "      <td>-0.219622</td>\n",
              "      <td>-0.287180</td>\n",
              "      <td>0.116041</td>\n",
              "      <td>-0.361286</td>\n",
              "      <td>0.076773</td>\n",
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              "      <td>0.061128</td>\n",
              "      <td>0.015016</td>\n",
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              "      <td>-4.758614</td>\n",
              "      <td>2.456574</td>\n",
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              "      <td>0.182821</td>\n",
              "      <td>0.807161</td>\n",
              "      <td>1.345097</td>\n",
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              "      <td>0.115669</td>\n",
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              "      <td>-0.471051</td>\n",
              "      <td>0.841464</td>\n",
              "      <td>-0.581922</td>\n",
              "      <td>1.012202</td>\n",
              "      <td>0.242827</td>\n",
              "      <td>-0.232677</td>\n",
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              "      <td>0.069169</td>\n",
              "      <td>0.296919</td>\n",
              "      <td>-0.189448</td>\n",
              "      <td>0.335807</td>\n",
              "      <td>0.026164</td>\n",
              "      <td>-0.220953</td>\n",
              "      <td>0.269121</td>\n",
              "      <td>0.180765</td>\n",
              "      <td>19.99</td>\n",
              "      <td>0</td>\n",
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              "    <tr>\n",
              "      <th>136587</th>\n",
              "      <td>81776.0</td>\n",
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              "      <td>3.573299</td>\n",
              "      <td>-0.680505</td>\n",
              "      <td>0.789877</td>\n",
              "      <td>-1.892910</td>\n",
              "      <td>-0.611796</td>\n",
              "      <td>-1.097777</td>\n",
              "      <td>1.659229</td>\n",
              "      <td>0.710787</td>\n",
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              "      <th>93558</th>\n",
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              "      <td>-0.394316</td>\n",
              "      <td>-1.774221</td>\n",
              "      <td>0.092868</td>\n",
              "      <td>-0.553921</td>\n",
              "      <td>0.077537</td>\n",
              "      <td>-0.803831</td>\n",
              "      <td>...</td>\n",
              "      <td>0.581003</td>\n",
              "      <td>0.590554</td>\n",
              "      <td>-0.348309</td>\n",
              "      <td>0.269036</td>\n",
              "      <td>-0.007453</td>\n",
              "      <td>-0.276839</td>\n",
              "      <td>-0.032526</td>\n",
              "      <td>0.096213</td>\n",
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              "      <td>0.330216</td>\n",
              "      <td>-2.420266</td>\n",
              "      <td>0.505534</td>\n",
              "      <td>0.747125</td>\n",
              "      <td>-1.667763</td>\n",
              "      <td>0.869520</td>\n",
              "      <td>-0.575611</td>\n",
              "      <td>-0.226819</td>\n",
              "      <td>...</td>\n",
              "      <td>0.063300</td>\n",
              "      <td>0.200742</td>\n",
              "      <td>0.046387</td>\n",
              "      <td>1.123354</td>\n",
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              "      <td>0.549012</td>\n",
              "      <td>-0.107458</td>\n",
              "      <td>-0.031513</td>\n",
              "      <td>49.95</td>\n",
              "      <td>0</td>\n",
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              "</table>\n",
              "<p>10 rows × 31 columns</p>\n",
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              "            Time        V1        V2        V3        V4        V5        V6  \\\n",
              "125463   77682.0  1.341539 -0.283891 -0.990890 -1.242408  1.740615  3.234407   \n",
              "151074   94537.0  1.914416  0.435067 -0.006615  3.799241  0.475690  1.170274   \n",
              "92157    63806.0  1.238598  0.825434 -0.316240  1.338100  0.207452 -1.211645   \n",
              "52038    45247.0  1.315832 -0.605067 -1.169475 -0.388209  1.665695  3.666392   \n",
              "103715   68773.0  1.418644 -1.192113  0.706625 -1.559414 -1.461803  0.150953   \n",
              "23625    32846.0 -1.086782 -0.729520 -0.292932 -4.758614  2.456574  2.403104   \n",
              "221240  142489.0 -0.460089  1.238591 -0.796323 -0.471051  0.841464 -0.581922   \n",
              "136587   81776.0 -4.153467  3.573299 -0.680505  0.789877 -1.892910 -0.611796   \n",
              "93558    64488.0  0.405141 -2.133325  0.607370 -0.394316 -1.774221  0.092868   \n",
              "254569  156796.0  2.007808  0.330216 -2.420266  0.505534  0.747125 -1.667763   \n",
              "\n",
              "              V7        V8        V9  ...       V21       V22       V23  \\\n",
              "125463 -0.788642  0.832380  0.258918  ... -0.187761 -0.674602  0.062283   \n",
              "151074 -0.574867  0.073148  0.824038  ...  0.047279  0.537200  0.077909   \n",
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              "52038  -0.812412  0.825635 -0.884281  ... -0.527086 -1.070260 -0.071266   \n",
              "103715 -1.414266  0.185914 -1.827102  ... -0.219622 -0.287180  0.116041   \n",
              "23625   0.182821  0.807161  1.345097  ...  0.321117  0.536944 -0.134302   \n",
              "221240  1.012202  0.242827 -0.232677  ...  0.069169  0.296919 -0.189448   \n",
              "136587 -1.097777  1.659229  0.710787  ... -0.053352 -0.359863  0.164717   \n",
              "93558  -0.553921  0.077537 -0.803831  ...  0.581003  0.590554 -0.348309   \n",
              "254569  0.869520 -0.575611 -0.226819  ...  0.063300  0.200742  0.046387   \n",
              "\n",
              "             V24       V25       V26       V27       V28  Amount  Class  \n",
              "125463  1.054273  0.278477  0.920082 -0.067907  0.002416    0.77      0  \n",
              "151074  0.001623 -0.038720  0.052524 -0.007153 -0.033733   15.13      0  \n",
              "92157   0.289894  0.737743 -0.332029  0.044262  0.060466    1.00      0  \n",
              "52038   0.968097  0.771812 -0.328222  0.045637  0.022512   39.00      0  \n",
              "103715 -0.361286  0.076773 -0.299678  0.061128  0.015016   18.95      0  \n",
              "23625   1.017078  0.718899 -0.929455  0.068086  0.115669   99.99      0  \n",
              "221240  0.335807  0.026164 -0.220953  0.269121  0.180765   19.99      0  \n",
              "136587  0.355614  0.029841 -0.645194 -1.664856 -0.582177    2.89      0  \n",
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              "254569  1.123354  0.220842  0.549012 -0.107458 -0.031513   49.95      0  \n",
              "\n",
              "[10 rows x 31 columns]"
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          "execution_count": 20,
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      "metadata": {
        "id": "6fcb05a5",
        "outputId": "fd4f33db-3a91-4131-8948-26b642d1ea84"
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              "    </tr>\n",
              "    <tr>\n",
              "      <th>Class</th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>92292.943089</td>\n",
              "      <td>0.020955</td>\n",
              "      <td>-0.044959</td>\n",
              "      <td>0.091071</td>\n",
              "      <td>-0.012504</td>\n",
              "      <td>-0.011974</td>\n",
              "      <td>0.035434</td>\n",
              "      <td>-0.026899</td>\n",
              "      <td>-0.069285</td>\n",
              "      <td>0.034697</td>\n",
              "      <td>...</td>\n",
              "      <td>-0.056332</td>\n",
              "      <td>0.056542</td>\n",
              "      <td>0.010787</td>\n",
              "      <td>-0.018410</td>\n",
              "      <td>-0.039003</td>\n",
              "      <td>0.027221</td>\n",
              "      <td>-0.001516</td>\n",
              "      <td>0.024914</td>\n",
              "      <td>-0.007951</td>\n",
              "      <td>80.935732</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>80746.806911</td>\n",
              "      <td>-4.771948</td>\n",
              "      <td>3.623778</td>\n",
              "      <td>-7.033281</td>\n",
              "      <td>4.542029</td>\n",
              "      <td>-3.151225</td>\n",
              "      <td>-1.397737</td>\n",
              "      <td>-5.568731</td>\n",
              "      <td>0.570636</td>\n",
              "      <td>-2.581123</td>\n",
              "      <td>...</td>\n",
              "      <td>0.372319</td>\n",
              "      <td>0.713588</td>\n",
              "      <td>0.014049</td>\n",
              "      <td>-0.040308</td>\n",
              "      <td>-0.105130</td>\n",
              "      <td>0.041449</td>\n",
              "      <td>0.051648</td>\n",
              "      <td>0.170575</td>\n",
              "      <td>0.075667</td>\n",
              "      <td>122.211321</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "<p>2 rows × 30 columns</p>\n",
              "</div>"
            ],
            "text/plain": [
              "               Time        V1        V2        V3        V4        V5  \\\n",
              "Class                                                                   \n",
              "0      92292.943089  0.020955 -0.044959  0.091071 -0.012504 -0.011974   \n",
              "1      80746.806911 -4.771948  3.623778 -7.033281  4.542029 -3.151225   \n",
              "\n",
              "             V6        V7        V8        V9  ...       V20       V21  \\\n",
              "Class                                          ...                       \n",
              "0      0.035434 -0.026899 -0.069285  0.034697  ... -0.056332  0.056542   \n",
              "1     -1.397737 -5.568731  0.570636 -2.581123  ...  0.372319  0.713588   \n",
              "\n",
              "            V22       V23       V24       V25       V26       V27       V28  \\\n",
              "Class                                                                         \n",
              "0      0.010787 -0.018410 -0.039003  0.027221 -0.001516  0.024914 -0.007951   \n",
              "1      0.014049 -0.040308 -0.105130  0.041449  0.051648  0.170575  0.075667   \n",
              "\n",
              "           Amount  \n",
              "Class              \n",
              "0       80.935732  \n",
              "1      122.211321  \n",
              "\n",
              "[2 rows x 30 columns]"
            ]
          },
          "execution_count": 22,
          "metadata": {},
          "output_type": "execute_result"
        }
      ],
      "source": [
        "new_file.groupby('Class').mean()"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "id": "9a7335e0",
      "metadata": {
        "id": "9a7335e0"
      },
      "outputs": [],
      "source": [
        "X=new_file.drop(columns='Class',axis=1)"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "id": "4c9ad924",
      "metadata": {
        "id": "4c9ad924"
      },
      "outputs": [],
      "source": [
        "Y=new_file['Class']"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "id": "76babed3",
      "metadata": {
        "id": "76babed3"
      },
      "outputs": [],
      "source": [
        "X_train,X_test,Y_train,Y_test=train_test_split(X,Y,test_size=0.2,stratify=Y,random_state=2)"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "id": "f132051b",
      "metadata": {
        "id": "f132051b"
      },
      "outputs": [],
      "source": [
        "model=LogisticRegression()"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "id": "e27ab1db",
      "metadata": {
        "id": "e27ab1db",
        "outputId": "f8c50b6c-bcc8-4cee-c049-8cc8631850f7"
      },
      "outputs": [
        {
          "name": "stderr",
          "output_type": "stream",
          "text": [
            "C:\\Users\\Diwakar mishra\\AppData\\Local\\Programs\\Python\\Python310\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py:460: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
            "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\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"
          ]
        },
        {
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            ],
            "text/plain": [
              "LogisticRegression()"
            ]
          },
          "execution_count": 27,
          "metadata": {},
          "output_type": "execute_result"
        }
      ],
      "source": [
        "model.fit(X_train,Y_train)\n"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "id": "cc69a7fb",
      "metadata": {
        "id": "cc69a7fb"
      },
      "outputs": [],
      "source": [
        "X_train_prediction=model.predict(X_train)"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "id": "d44c1444",
      "metadata": {
        "id": "d44c1444"
      },
      "outputs": [],
      "source": [
        "training_data_acuracy=accuracy_score(X_train_prediction,Y_train)*100"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "id": "01d144c7",
      "metadata": {
        "id": "01d144c7",
        "outputId": "cdffb6d1-3145-48e4-8139-46b2f5774306"
      },
      "outputs": [
        {
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "Training Data Accuracy: 95.42566709021601%\n"
          ]
        }
      ],
      "source": [
        "print(f\"Training Data Accuracy: {training_data_acuracy}%\")"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "id": "4c9cf982",
      "metadata": {
        "id": "4c9cf982"
      },
      "outputs": [],
      "source": [
        "X_test_prediction=model.predict(X_test)"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "id": "123e2324",
      "metadata": {
        "id": "123e2324"
      },
      "outputs": [],
      "source": [
        "test_data_accuracy=accuracy_score(X_test_prediction,Y_test)*100"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "id": "ed560490",
      "metadata": {
        "id": "ed560490",
        "outputId": "8b4b376d-2638-4da9-8b69-e035fc39ecec"
      },
      "outputs": [
        {
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "Test Data Accuracy: 91.87817258883248%\n"
          ]
        }
      ],
      "source": [
        "print(f\"Test Data Accuracy: {test_data_accuracy}%\")"
      ]
    }
  ],
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