Credit_Card_Fraud_Detection_Analysis.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "id": "ae64fed3",
   "metadata": {},
   "source": [
    "## Problem Statement:\n",
    "1. A credit card is a small thin plastic or fiber card that incorporates\n",
    "information about the person such as a picture or signature and the\n",
    "person’s name on it to charge purchases and services to his linked\n",
    "account. Charges are debited regularly. Nowadays, card data is read by\n",
    "ATMs, swiping machines, store readers, banks and online transactions.\n",
    "2. Each card has a unique card number which is very important. Its security\n",
    "mainly relies on the physical security of the card and also the privacy of the\n",
    "credit card number. There is a rapid growth in credit card transactions\n",
    "which has led to substantial growth in scam cases.\n",
    "3. Credit card fraud is expanding heavily because fraud financial loss is\n",
    "increasing drastically. Multiple data mining and statistical techniques are\n",
    "used to catch fraud. Therefore the detection of fraud using efficient and\n",
    "secured methods are very important."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "8f186315",
   "metadata": {},
   "outputs": [],
   "source": [
    "import numpy as np\n",
    "import pandas as pd\n",
    "import matplotlib.pyplot as plt\n",
    "%matplotlib inline\n",
    "import seaborn as sns\n",
    "import warnings\n",
    "warnings.filterwarnings(\"ignore\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "329b3931",
   "metadata": {},
   "outputs": [],
   "source": [
    "df = pd.read_csv(\"creditcard.csv\", skipinitialspace = True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "2488effd",
   "metadata": {},
   "outputs": [
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       "      <th>Time</th>\n",
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       "      <td>-0.059752</td>\n",
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       "   Time        V1        V2        V3        V4        V5        V6        V7  \\\n",
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       "\n",
       "         V8        V9  ...       V21       V22       V23       V24       V25  \\\n",
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   "cell_type": "code",
   "execution_count": 4,
   "id": "29a0a697",
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   "outputs": [
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       "        Time        V1        V2        V3        V4        V5        V6  \\\n",
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       "\n",
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       "11664       NaN       NaN       NaN       NaN       NaN     NaN    NaN  \n",
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     "execution_count": 4,
     "metadata": {},
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  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "67442447",
   "metadata": {},
   "outputs": [
    {
     "data": {
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     "execution_count": 5,
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      " 16  V16     11664 non-null  float64\n",
      " 17  V17     11664 non-null  float64\n",
      " 18  V18     11664 non-null  float64\n",
      " 19  V19     11664 non-null  float64\n",
      " 20  V20     11664 non-null  float64\n",
      " 21  V21     11664 non-null  float64\n",
      " 22  V22     11664 non-null  float64\n",
      " 23  V23     11664 non-null  float64\n",
      " 24  V24     11664 non-null  float64\n",
      " 25  V25     11664 non-null  float64\n",
      " 26  V26     11664 non-null  float64\n",
      " 27  V27     11664 non-null  float64\n",
      " 28  V28     11664 non-null  float64\n",
      " 29  Amount  11664 non-null  float64\n",
      " 30  Class   11664 non-null  float64\n",
      "dtypes: float64(30), int64(1)\n",
      "memory usage: 2.8 MB\n"
     ]
    }
   ],
   "source": [
    "df.info()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "38281478",
   "metadata": {},
   "outputs": [
    {
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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>count</th>\n",
       "      <td>11665.000000</td>\n",
       "      <td>11665.000000</td>\n",
       "      <td>11665.000000</td>\n",
       "      <td>11665.000000</td>\n",
       "      <td>11665.000000</td>\n",
       "      <td>11665.000000</td>\n",
       "      <td>11665.000000</td>\n",
       "      <td>11665.000000</td>\n",
       "      <td>11665.000000</td>\n",
       "      <td>11665.000000</td>\n",
       "      <td>...</td>\n",
       "      <td>11664.000000</td>\n",
       "      <td>11664.000000</td>\n",
       "      <td>11664.000000</td>\n",
       "      <td>11664.000000</td>\n",
       "      <td>11664.000000</td>\n",
       "      <td>11664.000000</td>\n",
       "      <td>11664.000000</td>\n",
       "      <td>11664.000000</td>\n",
       "      <td>11664.000000</td>\n",
       "      <td>11664.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>mean</th>\n",
       "      <td>7701.086069</td>\n",
       "      <td>-0.219601</td>\n",
       "      <td>0.274988</td>\n",
       "      <td>0.897990</td>\n",
       "      <td>0.281016</td>\n",
       "      <td>-0.078995</td>\n",
       "      <td>0.140055</td>\n",
       "      <td>-0.111620</td>\n",
       "      <td>-0.051877</td>\n",
       "      <td>0.893589</td>\n",
       "      <td>...</td>\n",
       "      <td>-0.061180</td>\n",
       "      <td>-0.155205</td>\n",
       "      <td>-0.034310</td>\n",
       "      <td>0.017421</td>\n",
       "      <td>0.101538</td>\n",
       "      <td>0.070630</td>\n",
       "      <td>0.007481</td>\n",
       "      <td>0.000804</td>\n",
       "      <td>62.795132</td>\n",
       "      <td>0.004201</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>std</th>\n",
       "      <td>5964.969525</td>\n",
       "      <td>1.561122</td>\n",
       "      <td>1.305785</td>\n",
       "      <td>1.272504</td>\n",
       "      <td>1.467970</td>\n",
       "      <td>1.184333</td>\n",
       "      <td>1.305472</td>\n",
       "      <td>1.129256</td>\n",
       "      <td>1.236992</td>\n",
       "      <td>1.182130</td>\n",
       "      <td>...</td>\n",
       "      <td>0.902556</td>\n",
       "      <td>0.624275</td>\n",
       "      <td>0.508488</td>\n",
       "      <td>0.592137</td>\n",
       "      <td>0.429725</td>\n",
       "      <td>0.560307</td>\n",
       "      <td>0.406841</td>\n",
       "      <td>0.262342</td>\n",
       "      <td>179.816783</td>\n",
       "      <td>0.064681</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>min</th>\n",
       "      <td>0.000000</td>\n",
       "      <td>-27.670569</td>\n",
       "      <td>-34.607649</td>\n",
       "      <td>-21.405836</td>\n",
       "      <td>-4.657545</td>\n",
       "      <td>-32.092129</td>\n",
       "      <td>-23.496714</td>\n",
       "      <td>-26.548144</td>\n",
       "      <td>-23.632502</td>\n",
       "      <td>-7.175097</td>\n",
       "      <td>...</td>\n",
       "      <td>-11.468435</td>\n",
       "      <td>-8.555808</td>\n",
       "      <td>-19.254328</td>\n",
       "      <td>-2.512377</td>\n",
       "      <td>-4.781606</td>\n",
       "      <td>-1.338556</td>\n",
       "      <td>-7.976100</td>\n",
       "      <td>-3.575312</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25%</th>\n",
       "      <td>2463.000000</td>\n",
       "      <td>-0.987193</td>\n",
       "      <td>-0.257287</td>\n",
       "      <td>0.416175</td>\n",
       "      <td>-0.615559</td>\n",
       "      <td>-0.680719</td>\n",
       "      <td>-0.622413</td>\n",
       "      <td>-0.583742</td>\n",
       "      <td>-0.186419</td>\n",
       "      <td>0.181510</td>\n",
       "      <td>...</td>\n",
       "      <td>-0.268948</td>\n",
       "      <td>-0.545531</td>\n",
       "      <td>-0.172765</td>\n",
       "      <td>-0.332771</td>\n",
       "      <td>-0.146729</td>\n",
       "      <td>-0.346888</td>\n",
       "      <td>-0.080638</td>\n",
       "      <td>-0.015513</td>\n",
       "      <td>5.000000</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>50%</th>\n",
       "      <td>6308.000000</td>\n",
       "      <td>-0.347783</td>\n",
       "      <td>0.262619</td>\n",
       "      <td>0.950034</td>\n",
       "      <td>0.215393</td>\n",
       "      <td>-0.179654</td>\n",
       "      <td>-0.147786</td>\n",
       "      <td>-0.088491</td>\n",
       "      <td>0.011665</td>\n",
       "      <td>0.880826</td>\n",
       "      <td>...</td>\n",
       "      <td>-0.130094</td>\n",
       "      <td>-0.129191</td>\n",
       "      <td>-0.044523</td>\n",
       "      <td>0.073145</td>\n",
       "      <td>0.139638</td>\n",
       "      <td>0.009023</td>\n",
       "      <td>-0.003818</td>\n",
       "      <td>0.015397</td>\n",
       "      <td>15.950000</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>75%</th>\n",
       "      <td>11898.000000</td>\n",
       "      <td>1.159319</td>\n",
       "      <td>0.888750</td>\n",
       "      <td>1.616224</td>\n",
       "      <td>1.153380</td>\n",
       "      <td>0.348187</td>\n",
       "      <td>0.508886</td>\n",
       "      <td>0.439387</td>\n",
       "      <td>0.267067</td>\n",
       "      <td>1.570361</td>\n",
       "      <td>...</td>\n",
       "      <td>0.023295</td>\n",
       "      <td>0.235448</td>\n",
       "      <td>0.076761</td>\n",
       "      <td>0.402522</td>\n",
       "      <td>0.374859</td>\n",
       "      <td>0.417677</td>\n",
       "      <td>0.108443</td>\n",
       "      <td>0.073961</td>\n",
       "      <td>50.000000</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>max</th>\n",
       "      <td>19915.000000</td>\n",
       "      <td>1.960497</td>\n",
       "      <td>9.067613</td>\n",
       "      <td>4.101716</td>\n",
       "      <td>11.927512</td>\n",
       "      <td>34.099309</td>\n",
       "      <td>21.393069</td>\n",
       "      <td>34.303177</td>\n",
       "      <td>5.499963</td>\n",
       "      <td>10.392889</td>\n",
       "      <td>...</td>\n",
       "      <td>22.599543</td>\n",
       "      <td>4.534454</td>\n",
       "      <td>13.876221</td>\n",
       "      <td>3.200201</td>\n",
       "      <td>5.525093</td>\n",
       "      <td>3.517346</td>\n",
       "      <td>8.254376</td>\n",
       "      <td>4.860769</td>\n",
       "      <td>7712.430000</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  11665.000000  11665.000000  11665.000000  11665.000000  11665.000000   \n",
       "mean    7701.086069     -0.219601      0.274988      0.897990      0.281016   \n",
       "std     5964.969525      1.561122      1.305785      1.272504      1.467970   \n",
       "min        0.000000    -27.670569    -34.607649    -21.405836     -4.657545   \n",
       "25%     2463.000000     -0.987193     -0.257287      0.416175     -0.615559   \n",
       "50%     6308.000000     -0.347783      0.262619      0.950034      0.215393   \n",
       "75%    11898.000000      1.159319      0.888750      1.616224      1.153380   \n",
       "max    19915.000000      1.960497      9.067613      4.101716     11.927512   \n",
       "\n",
       "                 V5            V6            V7            V8            V9  \\\n",
       "count  11665.000000  11665.000000  11665.000000  11665.000000  11665.000000   \n",
       "mean      -0.078995      0.140055     -0.111620     -0.051877      0.893589   \n",
       "std        1.184333      1.305472      1.129256      1.236992      1.182130   \n",
       "min      -32.092129    -23.496714    -26.548144    -23.632502     -7.175097   \n",
       "25%       -0.680719     -0.622413     -0.583742     -0.186419      0.181510   \n",
       "50%       -0.179654     -0.147786     -0.088491      0.011665      0.880826   \n",
       "75%        0.348187      0.508886      0.439387      0.267067      1.570361   \n",
       "max       34.099309     21.393069     34.303177      5.499963     10.392889   \n",
       "\n",
       "       ...           V21           V22           V23           V24  \\\n",
       "count  ...  11664.000000  11664.000000  11664.000000  11664.000000   \n",
       "mean   ...     -0.061180     -0.155205     -0.034310      0.017421   \n",
       "std    ...      0.902556      0.624275      0.508488      0.592137   \n",
       "min    ...    -11.468435     -8.555808    -19.254328     -2.512377   \n",
       "25%    ...     -0.268948     -0.545531     -0.172765     -0.332771   \n",
       "50%    ...     -0.130094     -0.129191     -0.044523      0.073145   \n",
       "75%    ...      0.023295      0.235448      0.076761      0.402522   \n",
       "max    ...     22.599543      4.534454     13.876221      3.200201   \n",
       "\n",
       "                V25           V26           V27           V28        Amount  \\\n",
       "count  11664.000000  11664.000000  11664.000000  11664.000000  11664.000000   \n",
       "mean       0.101538      0.070630      0.007481      0.000804     62.795132   \n",
       "std        0.429725      0.560307      0.406841      0.262342    179.816783   \n",
       "min       -4.781606     -1.338556     -7.976100     -3.575312      0.000000   \n",
       "25%       -0.146729     -0.346888     -0.080638     -0.015513      5.000000   \n",
       "50%        0.139638      0.009023     -0.003818      0.015397     15.950000   \n",
       "75%        0.374859      0.417677      0.108443      0.073961     50.000000   \n",
       "max        5.525093      3.517346      8.254376      4.860769   7712.430000   \n",
       "\n",
       "              Class  \n",
       "count  11664.000000  \n",
       "mean       0.004201  \n",
       "std        0.064681  \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": [
    "df.describe()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "fe9e2c66",
   "metadata": {},
   "outputs": [
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       "      <td>0.003644</td>\n",
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       "      <td>0.052160</td>\n",
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       "    <tr>\n",
       "      <th>V1</th>\n",
       "      <td>0.056543</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>-0.157864</td>\n",
       "      <td>-0.008264</td>\n",
       "      <td>0.005306</td>\n",
       "      <td>-0.152342</td>\n",
       "      <td>0.035731</td>\n",
       "      <td>0.033428</td>\n",
       "      <td>0.198790</td>\n",
       "      <td>-0.058335</td>\n",
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       "      <td>-0.118939</td>\n",
       "      <td>-0.024616</td>\n",
       "      <td>-0.085160</td>\n",
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       "      <td>0.250103</td>\n",
       "      <td>0.012080</td>\n",
       "      <td>-0.109678</td>\n",
       "      <td>0.072922</td>\n",
       "      <td>-0.185156</td>\n",
       "      <td>-0.118379</td>\n",
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       "    <tr>\n",
       "      <th>V2</th>\n",
       "      <td>-0.016582</td>\n",
       "      <td>-0.157864</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>-0.172077</td>\n",
       "      <td>0.099891</td>\n",
       "      <td>-0.070430</td>\n",
       "      <td>0.010383</td>\n",
       "      <td>0.066345</td>\n",
       "      <td>-0.157023</td>\n",
       "      <td>-0.110103</td>\n",
       "      <td>...</td>\n",
       "      <td>0.143520</td>\n",
       "      <td>-0.124437</td>\n",
       "      <td>0.043853</td>\n",
       "      <td>-0.031372</td>\n",
       "      <td>-0.159772</td>\n",
       "      <td>-0.054228</td>\n",
       "      <td>0.038840</td>\n",
       "      <td>-0.025315</td>\n",
       "      <td>-0.444916</td>\n",
       "      <td>0.185733</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>V3</th>\n",
       "      <td>0.017920</td>\n",
       "      <td>-0.008264</td>\n",
       "      <td>-0.172077</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>-0.073672</td>\n",
       "      <td>0.025701</td>\n",
       "      <td>-0.106046</td>\n",
       "      <td>0.279739</td>\n",
       "      <td>-0.035140</td>\n",
       "      <td>0.209214</td>\n",
       "      <td>...</td>\n",
       "      <td>-0.024163</td>\n",
       "      <td>0.236130</td>\n",
       "      <td>0.005660</td>\n",
       "      <td>0.025486</td>\n",
       "      <td>-0.152694</td>\n",
       "      <td>0.037753</td>\n",
       "      <td>-0.153106</td>\n",
       "      <td>-0.057497</td>\n",
       "      <td>-0.150082</td>\n",
       "      <td>-0.420336</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>V4</th>\n",
       "      <td>0.092991</td>\n",
       "      <td>0.005306</td>\n",
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       "      <td>-0.073672</td>\n",
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       "      <td>-0.000170</td>\n",
       "      <td>-0.142571</td>\n",
       "      <td>0.045729</td>\n",
       "      <td>-0.194074</td>\n",
       "      <td>...</td>\n",
       "      <td>-0.014309</td>\n",
       "      <td>-0.000842</td>\n",
       "      <td>-0.013838</td>\n",
       "      <td>-0.050024</td>\n",
       "      <td>-0.064686</td>\n",
       "      <td>0.055587</td>\n",
       "      <td>0.023071</td>\n",
       "      <td>0.009171</td>\n",
       "      <td>0.121732</td>\n",
       "      <td>0.255711</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>V5</th>\n",
       "      <td>-0.076262</td>\n",
       "      <td>-0.152342</td>\n",
       "      <td>-0.070430</td>\n",
       "      <td>0.025701</td>\n",
       "      <td>-0.108558</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.134661</td>\n",
       "      <td>-0.055061</td>\n",
       "      <td>0.074116</td>\n",
       "      <td>-0.042945</td>\n",
       "      <td>...</td>\n",
       "      <td>-0.044885</td>\n",
       "      <td>-0.117327</td>\n",
       "      <td>-0.041422</td>\n",
       "      <td>0.018675</td>\n",
       "      <td>-0.022608</td>\n",
       "      <td>-0.105957</td>\n",
       "      <td>-0.014589</td>\n",
       "      <td>-0.115975</td>\n",
       "      <td>-0.382393</td>\n",
       "      <td>-0.102717</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>V6</th>\n",
       "      <td>-0.010338</td>\n",
       "      <td>0.035731</td>\n",
       "      <td>0.010383</td>\n",
       "      <td>-0.106046</td>\n",
       "      <td>-0.000170</td>\n",
       "      <td>0.134661</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>-0.004109</td>\n",
       "      <td>-0.010418</td>\n",
       "      <td>0.004540</td>\n",
       "      <td>...</td>\n",
       "      <td>0.071621</td>\n",
       "      <td>-0.059612</td>\n",
       "      <td>0.021147</td>\n",
       "      <td>0.025976</td>\n",
       "      <td>0.079657</td>\n",
       "      <td>-0.037069</td>\n",
       "      <td>-0.068796</td>\n",
       "      <td>-0.011026</td>\n",
       "      <td>0.220215</td>\n",
       "      <td>-0.104988</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>V7</th>\n",
       "      <td>-0.143468</td>\n",
       "      <td>0.033428</td>\n",
       "      <td>0.066345</td>\n",
       "      <td>0.279739</td>\n",
       "      <td>-0.142571</td>\n",
       "      <td>-0.055061</td>\n",
       "      <td>-0.004109</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.121374</td>\n",
       "      <td>0.016294</td>\n",
       "      <td>...</td>\n",
       "      <td>-0.144194</td>\n",
       "      <td>0.061378</td>\n",
       "      <td>0.070469</td>\n",
       "      <td>0.008311</td>\n",
       "      <td>-0.063573</td>\n",
       "      <td>-0.085775</td>\n",
       "      <td>-0.156030</td>\n",
       "      <td>-0.049434</td>\n",
       "      <td>0.293652</td>\n",
       "      <td>-0.286924</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>V8</th>\n",
       "      <td>0.011014</td>\n",
       "      <td>0.198790</td>\n",
       "      <td>-0.157023</td>\n",
       "      <td>-0.035140</td>\n",
       "      <td>0.045729</td>\n",
       "      <td>0.074116</td>\n",
       "      <td>-0.010418</td>\n",
       "      <td>0.121374</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>-0.088749</td>\n",
       "      <td>...</td>\n",
       "      <td>-0.342263</td>\n",
       "      <td>0.170301</td>\n",
       "      <td>-0.069828</td>\n",
       "      <td>0.017761</td>\n",
       "      <td>0.012704</td>\n",
       "      <td>0.021227</td>\n",
       "      <td>0.047988</td>\n",
       "      <td>0.082024</td>\n",
       "      <td>-0.066965</td>\n",
       "      <td>0.054047</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>V9</th>\n",
       "      <td>0.428655</td>\n",
       "      <td>-0.058335</td>\n",
       "      <td>-0.110103</td>\n",
       "      <td>0.209214</td>\n",
       "      <td>-0.194074</td>\n",
       "      <td>-0.042945</td>\n",
       "      <td>0.004540</td>\n",
       "      <td>0.016294</td>\n",
       "      <td>-0.088749</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>...</td>\n",
       "      <td>-0.006213</td>\n",
       "      <td>0.029232</td>\n",
       "      <td>0.006941</td>\n",
       "      <td>0.008089</td>\n",
       "      <td>0.154589</td>\n",
       "      <td>0.086859</td>\n",
       "      <td>-0.066839</td>\n",
       "      <td>-0.086297</td>\n",
       "      <td>-0.010328</td>\n",
       "      <td>-0.186959</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>V10</th>\n",
       "      <td>-0.163934</td>\n",
       "      <td>-0.119051</td>\n",
       "      <td>0.072117</td>\n",
       "      <td>0.211021</td>\n",
       "      <td>-0.018866</td>\n",
       "      <td>0.118781</td>\n",
       "      <td>0.090721</td>\n",
       "      <td>0.225660</td>\n",
       "      <td>-0.131193</td>\n",
       "      <td>0.116174</td>\n",
       "      <td>...</td>\n",
       "      <td>0.032409</td>\n",
       "      <td>-0.119726</td>\n",
       "      <td>0.072742</td>\n",
       "      <td>0.039962</td>\n",
       "      <td>0.004243</td>\n",
       "      <td>0.018079</td>\n",
       "      <td>-0.123360</td>\n",
       "      <td>-0.140626</td>\n",
       "      <td>-0.086595</td>\n",
       "      <td>-0.361688</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>V11</th>\n",
       "      <td>0.304003</td>\n",
       "      <td>-0.016530</td>\n",
       "      <td>0.095481</td>\n",
       "      <td>-0.209105</td>\n",
       "      <td>0.086564</td>\n",
       "      <td>-0.078979</td>\n",
       "      <td>-0.114576</td>\n",
       "      <td>-0.181762</td>\n",
       "      <td>0.028498</td>\n",
       "      <td>0.065915</td>\n",
       "      <td>...</td>\n",
       "      <td>0.015491</td>\n",
       "      <td>0.053719</td>\n",
       "      <td>0.043221</td>\n",
       "      <td>0.021683</td>\n",
       "      <td>-0.111734</td>\n",
       "      <td>0.077350</td>\n",
       "      <td>0.018040</td>\n",
       "      <td>-0.001119</td>\n",
       "      <td>-0.029291</td>\n",
       "      <td>0.312198</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>V12</th>\n",
       "      <td>-0.574489</td>\n",
       "      <td>0.009304</td>\n",
       "      <td>-0.062521</td>\n",
       "      <td>0.192127</td>\n",
       "      <td>-0.189715</td>\n",
       "      <td>0.041499</td>\n",
       "      <td>-0.020015</td>\n",
       "      <td>0.232187</td>\n",
       "      <td>-0.089486</td>\n",
       "      <td>-0.224263</td>\n",
       "      <td>...</td>\n",
       "      <td>0.056865</td>\n",
       "      <td>0.097171</td>\n",
       "      <td>-0.004548</td>\n",
       "      <td>0.035643</td>\n",
       "      <td>0.025595</td>\n",
       "      <td>-0.068852</td>\n",
       "      <td>0.004733</td>\n",
       "      <td>0.002991</td>\n",
       "      <td>0.000687</td>\n",
       "      <td>-0.366283</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>V13</th>\n",
       "      <td>0.438628</td>\n",
       "      <td>0.061878</td>\n",
       "      <td>0.003056</td>\n",
       "      <td>0.006408</td>\n",
       "      <td>0.102004</td>\n",
       "      <td>0.046247</td>\n",
       "      <td>0.044894</td>\n",
       "      <td>-0.037453</td>\n",
       "      <td>-0.017205</td>\n",
       "      <td>0.215058</td>\n",
       "      <td>...</td>\n",
       "      <td>-0.034701</td>\n",
       "      <td>-0.043440</td>\n",
       "      <td>0.006228</td>\n",
       "      <td>-0.009672</td>\n",
       "      <td>0.034940</td>\n",
       "      <td>0.086152</td>\n",
       "      <td>-0.055896</td>\n",
       "      <td>-0.008713</td>\n",
       "      <td>0.018405</td>\n",
       "      <td>-0.022599</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>V14</th>\n",
       "      <td>0.351128</td>\n",
       "      <td>0.191360</td>\n",
       "      <td>-0.171355</td>\n",
       "      <td>0.310011</td>\n",
       "      <td>-0.136626</td>\n",
       "      <td>0.022920</td>\n",
       "      <td>0.099057</td>\n",
       "      <td>0.060488</td>\n",
       "      <td>-0.029391</td>\n",
       "      <td>0.255964</td>\n",
       "      <td>...</td>\n",
       "      <td>-0.024633</td>\n",
       "      <td>-0.084610</td>\n",
       "      <td>0.060968</td>\n",
       "      <td>0.041647</td>\n",
       "      <td>-0.006578</td>\n",
       "      <td>0.051132</td>\n",
       "      <td>-0.103481</td>\n",
       "      <td>0.054649</td>\n",
       "      <td>-0.013897</td>\n",
       "      <td>-0.518895</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>V15</th>\n",
       "      <td>-0.262874</td>\n",
       "      <td>0.057373</td>\n",
       "      <td>0.074174</td>\n",
       "      <td>-0.183472</td>\n",
       "      <td>-0.154506</td>\n",
       "      <td>0.124028</td>\n",
       "      <td>-0.085176</td>\n",
       "      <td>0.098148</td>\n",
       "      <td>-0.029913</td>\n",
       "      <td>-0.224203</td>\n",
       "      <td>...</td>\n",
       "      <td>0.038229</td>\n",
       "      <td>0.043588</td>\n",
       "      <td>0.006834</td>\n",
       "      <td>-0.001119</td>\n",
       "      <td>-0.111114</td>\n",
       "      <td>-0.067908</td>\n",
       "      <td>0.032723</td>\n",
       "      <td>-0.027711</td>\n",
       "      <td>-0.053103</td>\n",
       "      <td>-0.003843</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>V16</th>\n",
       "      <td>0.026621</td>\n",
       "      <td>0.183444</td>\n",
       "      <td>-0.112320</td>\n",
       "      <td>0.038616</td>\n",
       "      <td>-0.174852</td>\n",
       "      <td>0.134986</td>\n",
       "      <td>0.069993</td>\n",
       "      <td>0.090560</td>\n",
       "      <td>-0.005489</td>\n",
       "      <td>-0.041964</td>\n",
       "      <td>...</td>\n",
       "      <td>-0.047320</td>\n",
       "      <td>-0.132169</td>\n",
       "      <td>0.038639</td>\n",
       "      <td>0.022638</td>\n",
       "      <td>0.116155</td>\n",
       "      <td>0.121310</td>\n",
       "      <td>-0.041236</td>\n",
       "      <td>0.032351</td>\n",
       "      <td>-0.016660</td>\n",
       "      <td>-0.340421</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>V17</th>\n",
       "      <td>0.220146</td>\n",
       "      <td>0.101189</td>\n",
       "      <td>-0.094839</td>\n",
       "      <td>0.223405</td>\n",
       "      <td>0.043753</td>\n",
       "      <td>0.012598</td>\n",
       "      <td>0.063446</td>\n",
       "      <td>0.114852</td>\n",
       "      <td>-0.053675</td>\n",
       "      <td>0.233096</td>\n",
       "      <td>...</td>\n",
       "      <td>-0.017216</td>\n",
       "      <td>-0.017766</td>\n",
       "      <td>0.101810</td>\n",
       "      <td>0.011864</td>\n",
       "      <td>-0.026457</td>\n",
       "      <td>-0.061091</td>\n",
       "      <td>-0.100120</td>\n",
       "      <td>-0.033057</td>\n",
       "      <td>0.005865</td>\n",
       "      <td>-0.430451</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>V18</th>\n",
       "      <td>0.063899</td>\n",
       "      <td>-0.016026</td>\n",
       "      <td>0.023919</td>\n",
       "      <td>0.052189</td>\n",
       "      <td>-0.032581</td>\n",
       "      <td>0.096864</td>\n",
       "      <td>0.030030</td>\n",
       "      <td>0.113598</td>\n",
       "      <td>-0.031512</td>\n",
       "      <td>0.097443</td>\n",
       "      <td>...</td>\n",
       "      <td>0.011493</td>\n",
       "      <td>-0.035694</td>\n",
       "      <td>-0.026320</td>\n",
       "      <td>0.003397</td>\n",
       "      <td>0.040862</td>\n",
       "      <td>0.064598</td>\n",
       "      <td>-0.011992</td>\n",
       "      <td>0.001054</td>\n",
       "      <td>0.026021</td>\n",
       "      <td>-0.171130</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>V19</th>\n",
       "      <td>-0.040661</td>\n",
       "      <td>0.016316</td>\n",
       "      <td>-0.029789</td>\n",
       "      <td>-0.069212</td>\n",
       "      <td>-0.009430</td>\n",
       "      <td>0.003629</td>\n",
       "      <td>0.098065</td>\n",
       "      <td>-0.052096</td>\n",
       "      <td>0.030643</td>\n",
       "      <td>-0.079649</td>\n",
       "      <td>...</td>\n",
       "      <td>0.015044</td>\n",
       "      <td>-0.031591</td>\n",
       "      <td>-0.045993</td>\n",
       "      <td>0.014624</td>\n",
       "      <td>-0.021394</td>\n",
       "      <td>-0.027754</td>\n",
       "      <td>-0.004889</td>\n",
       "      <td>-0.029637</td>\n",
       "      <td>-0.021714</td>\n",
       "      <td>0.022600</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>V20</th>\n",
       "      <td>-0.053818</td>\n",
       "      <td>-0.037234</td>\n",
       "      <td>0.072581</td>\n",
       "      <td>-0.070775</td>\n",
       "      <td>-0.041609</td>\n",
       "      <td>-0.005562</td>\n",
       "      <td>0.021763</td>\n",
       "      <td>0.063808</td>\n",
       "      <td>0.065694</td>\n",
       "      <td>0.018747</td>\n",
       "      <td>...</td>\n",
       "      <td>-0.280731</td>\n",
       "      <td>0.101737</td>\n",
       "      <td>-0.095886</td>\n",
       "      <td>0.024383</td>\n",
       "      <td>-0.022884</td>\n",
       "      <td>0.002735</td>\n",
       "      <td>0.040500</td>\n",
       "      <td>0.015553</td>\n",
       "      <td>0.215105</td>\n",
       "      <td>0.039452</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>V21</th>\n",
       "      <td>-0.031692</td>\n",
       "      <td>-0.118939</td>\n",
       "      <td>0.143520</td>\n",
       "      <td>-0.024163</td>\n",
       "      <td>-0.014309</td>\n",
       "      <td>-0.044885</td>\n",
       "      <td>0.071621</td>\n",
       "      <td>-0.144194</td>\n",
       "      <td>-0.342263</td>\n",
       "      <td>-0.006213</td>\n",
       "      <td>...</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>-0.313856</td>\n",
       "      <td>0.144139</td>\n",
       "      <td>-0.046413</td>\n",
       "      <td>0.015162</td>\n",
       "      <td>-0.022162</td>\n",
       "      <td>0.015241</td>\n",
       "      <td>0.030376</td>\n",
       "      <td>0.011111</td>\n",
       "      <td>0.038100</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>V22</th>\n",
       "      <td>0.002587</td>\n",
       "      <td>-0.024616</td>\n",
       "      <td>-0.124437</td>\n",
       "      <td>0.236130</td>\n",
       "      <td>-0.000842</td>\n",
       "      <td>-0.117327</td>\n",
       "      <td>-0.059612</td>\n",
       "      <td>0.061378</td>\n",
       "      <td>0.170301</td>\n",
       "      <td>0.029232</td>\n",
       "      <td>...</td>\n",
       "      <td>-0.313856</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>-0.071503</td>\n",
       "      <td>0.016230</td>\n",
       "      <td>-0.077229</td>\n",
       "      <td>-0.047147</td>\n",
       "      <td>-0.048828</td>\n",
       "      <td>-0.032141</td>\n",
       "      <td>-0.009492</td>\n",
       "      <td>0.006943</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>V23</th>\n",
       "      <td>0.003644</td>\n",
       "      <td>-0.085160</td>\n",
       "      <td>0.043853</td>\n",
       "      <td>0.005660</td>\n",
       "      <td>-0.013838</td>\n",
       "      <td>-0.041422</td>\n",
       "      <td>0.021147</td>\n",
       "      <td>0.070469</td>\n",
       "      <td>-0.069828</td>\n",
       "      <td>0.006941</td>\n",
       "      <td>...</td>\n",
       "      <td>0.144139</td>\n",
       "      <td>-0.071503</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.027419</td>\n",
       "      <td>0.054270</td>\n",
       "      <td>0.029471</td>\n",
       "      <td>-0.030661</td>\n",
       "      <td>0.081024</td>\n",
       "      <td>-0.164027</td>\n",
       "      <td>-0.050280</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>V24</th>\n",
       "      <td>-0.023751</td>\n",
       "      <td>-0.011504</td>\n",
       "      <td>-0.031372</td>\n",
       "      <td>0.025486</td>\n",
       "      <td>-0.050024</td>\n",
       "      <td>0.018675</td>\n",
       "      <td>0.025976</td>\n",
       "      <td>0.008311</td>\n",
       "      <td>0.017761</td>\n",
       "      <td>0.008089</td>\n",
       "      <td>...</td>\n",
       "      <td>-0.046413</td>\n",
       "      <td>0.016230</td>\n",
       "      <td>0.027419</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>-0.033324</td>\n",
       "      <td>-0.026425</td>\n",
       "      <td>-0.000263</td>\n",
       "      <td>0.019298</td>\n",
       "      <td>0.014040</td>\n",
       "      <td>-0.042226</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>V25</th>\n",
       "      <td>0.052160</td>\n",
       "      <td>0.250103</td>\n",
       "      <td>-0.159772</td>\n",
       "      <td>-0.152694</td>\n",
       "      <td>-0.064686</td>\n",
       "      <td>-0.022608</td>\n",
       "      <td>0.079657</td>\n",
       "      <td>-0.063573</td>\n",
       "      <td>0.012704</td>\n",
       "      <td>0.154589</td>\n",
       "      <td>...</td>\n",
       "      <td>0.015162</td>\n",
       "      <td>-0.077229</td>\n",
       "      <td>0.054270</td>\n",
       "      <td>-0.033324</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>-0.099150</td>\n",
       "      <td>0.077862</td>\n",
       "      <td>0.073586</td>\n",
       "      <td>-0.030987</td>\n",
       "      <td>-0.036042</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>V26</th>\n",
       "      <td>0.078801</td>\n",
       "      <td>0.012080</td>\n",
       "      <td>-0.054228</td>\n",
       "      <td>0.037753</td>\n",
       "      <td>0.055587</td>\n",
       "      <td>-0.105957</td>\n",
       "      <td>-0.037069</td>\n",
       "      <td>-0.085775</td>\n",
       "      <td>0.021227</td>\n",
       "      <td>0.086859</td>\n",
       "      <td>...</td>\n",
       "      <td>-0.022162</td>\n",
       "      <td>-0.047147</td>\n",
       "      <td>0.029471</td>\n",
       "      <td>-0.026425</td>\n",
       "      <td>-0.099150</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>-0.018545</td>\n",
       "      <td>0.029653</td>\n",
       "      <td>0.022419</td>\n",
       "      <td>0.024964</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>V27</th>\n",
       "      <td>-0.037687</td>\n",
       "      <td>-0.109678</td>\n",
       "      <td>0.038840</td>\n",
       "      <td>-0.153106</td>\n",
       "      <td>0.023071</td>\n",
       "      <td>-0.014589</td>\n",
       "      <td>-0.068796</td>\n",
       "      <td>-0.156030</td>\n",
       "      <td>0.047988</td>\n",
       "      <td>-0.066839</td>\n",
       "      <td>...</td>\n",
       "      <td>0.015241</td>\n",
       "      <td>-0.048828</td>\n",
       "      <td>-0.030661</td>\n",
       "      <td>-0.000263</td>\n",
       "      <td>0.077862</td>\n",
       "      <td>-0.018545</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.289947</td>\n",
       "      <td>0.042703</td>\n",
       "      <td>0.095203</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>V28</th>\n",
       "      <td>-0.015772</td>\n",
       "      <td>0.072922</td>\n",
       "      <td>-0.025315</td>\n",
       "      <td>-0.057497</td>\n",
       "      <td>0.009171</td>\n",
       "      <td>-0.115975</td>\n",
       "      <td>-0.011026</td>\n",
       "      <td>-0.049434</td>\n",
       "      <td>0.082024</td>\n",
       "      <td>-0.086297</td>\n",
       "      <td>...</td>\n",
       "      <td>0.030376</td>\n",
       "      <td>-0.032141</td>\n",
       "      <td>0.081024</td>\n",
       "      <td>0.019298</td>\n",
       "      <td>0.073586</td>\n",
       "      <td>0.029653</td>\n",
       "      <td>0.289947</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.061041</td>\n",
       "      <td>0.036824</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Amount</th>\n",
       "      <td>-0.017941</td>\n",
       "      <td>-0.185156</td>\n",
       "      <td>-0.444916</td>\n",
       "      <td>-0.150082</td>\n",
       "      <td>0.121732</td>\n",
       "      <td>-0.382393</td>\n",
       "      <td>0.220215</td>\n",
       "      <td>0.293652</td>\n",
       "      <td>-0.066965</td>\n",
       "      <td>-0.010328</td>\n",
       "      <td>...</td>\n",
       "      <td>0.011111</td>\n",
       "      <td>-0.009492</td>\n",
       "      <td>-0.164027</td>\n",
       "      <td>0.014040</td>\n",
       "      <td>-0.030987</td>\n",
       "      <td>0.022419</td>\n",
       "      <td>0.042703</td>\n",
       "      <td>0.061041</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.014757</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Class</th>\n",
       "      <td>0.036345</td>\n",
       "      <td>-0.118379</td>\n",
       "      <td>0.185733</td>\n",
       "      <td>-0.420336</td>\n",
       "      <td>0.255711</td>\n",
       "      <td>-0.102717</td>\n",
       "      <td>-0.104988</td>\n",
       "      <td>-0.286924</td>\n",
       "      <td>0.054047</td>\n",
       "      <td>-0.186959</td>\n",
       "      <td>...</td>\n",
       "      <td>0.038100</td>\n",
       "      <td>0.006943</td>\n",
       "      <td>-0.050280</td>\n",
       "      <td>-0.042226</td>\n",
       "      <td>-0.036042</td>\n",
       "      <td>0.024964</td>\n",
       "      <td>0.095203</td>\n",
       "      <td>0.036824</td>\n",
       "      <td>0.014757</td>\n",
       "      <td>1.000000</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>31 rows × 31 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "            Time        V1        V2        V3        V4        V5        V6  \\\n",
       "Time    1.000000  0.056543 -0.016582  0.017920  0.092991 -0.076262 -0.010338   \n",
       "V1      0.056543  1.000000 -0.157864 -0.008264  0.005306 -0.152342  0.035731   \n",
       "V2     -0.016582 -0.157864  1.000000 -0.172077  0.099891 -0.070430  0.010383   \n",
       "V3      0.017920 -0.008264 -0.172077  1.000000 -0.073672  0.025701 -0.106046   \n",
       "V4      0.092991  0.005306  0.099891 -0.073672  1.000000 -0.108558 -0.000170   \n",
       "V5     -0.076262 -0.152342 -0.070430  0.025701 -0.108558  1.000000  0.134661   \n",
       "V6     -0.010338  0.035731  0.010383 -0.106046 -0.000170  0.134661  1.000000   \n",
       "V7     -0.143468  0.033428  0.066345  0.279739 -0.142571 -0.055061 -0.004109   \n",
       "V8      0.011014  0.198790 -0.157023 -0.035140  0.045729  0.074116 -0.010418   \n",
       "V9      0.428655 -0.058335 -0.110103  0.209214 -0.194074 -0.042945  0.004540   \n",
       "V10    -0.163934 -0.119051  0.072117  0.211021 -0.018866  0.118781  0.090721   \n",
       "V11     0.304003 -0.016530  0.095481 -0.209105  0.086564 -0.078979 -0.114576   \n",
       "V12    -0.574489  0.009304 -0.062521  0.192127 -0.189715  0.041499 -0.020015   \n",
       "V13     0.438628  0.061878  0.003056  0.006408  0.102004  0.046247  0.044894   \n",
       "V14     0.351128  0.191360 -0.171355  0.310011 -0.136626  0.022920  0.099057   \n",
       "V15    -0.262874  0.057373  0.074174 -0.183472 -0.154506  0.124028 -0.085176   \n",
       "V16     0.026621  0.183444 -0.112320  0.038616 -0.174852  0.134986  0.069993   \n",
       "V17     0.220146  0.101189 -0.094839  0.223405  0.043753  0.012598  0.063446   \n",
       "V18     0.063899 -0.016026  0.023919  0.052189 -0.032581  0.096864  0.030030   \n",
       "V19    -0.040661  0.016316 -0.029789 -0.069212 -0.009430  0.003629  0.098065   \n",
       "V20    -0.053818 -0.037234  0.072581 -0.070775 -0.041609 -0.005562  0.021763   \n",
       "V21    -0.031692 -0.118939  0.143520 -0.024163 -0.014309 -0.044885  0.071621   \n",
       "V22     0.002587 -0.024616 -0.124437  0.236130 -0.000842 -0.117327 -0.059612   \n",
       "V23     0.003644 -0.085160  0.043853  0.005660 -0.013838 -0.041422  0.021147   \n",
       "V24    -0.023751 -0.011504 -0.031372  0.025486 -0.050024  0.018675  0.025976   \n",
       "V25     0.052160  0.250103 -0.159772 -0.152694 -0.064686 -0.022608  0.079657   \n",
       "V26     0.078801  0.012080 -0.054228  0.037753  0.055587 -0.105957 -0.037069   \n",
       "V27    -0.037687 -0.109678  0.038840 -0.153106  0.023071 -0.014589 -0.068796   \n",
       "V28    -0.015772  0.072922 -0.025315 -0.057497  0.009171 -0.115975 -0.011026   \n",
       "Amount -0.017941 -0.185156 -0.444916 -0.150082  0.121732 -0.382393  0.220215   \n",
       "Class   0.036345 -0.118379  0.185733 -0.420336  0.255711 -0.102717 -0.104988   \n",
       "\n",
       "              V7        V8        V9  ...       V21       V22       V23  \\\n",
       "Time   -0.143468  0.011014  0.428655  ... -0.031692  0.002587  0.003644   \n",
       "V1      0.033428  0.198790 -0.058335  ... -0.118939 -0.024616 -0.085160   \n",
       "V2      0.066345 -0.157023 -0.110103  ...  0.143520 -0.124437  0.043853   \n",
       "V3      0.279739 -0.035140  0.209214  ... -0.024163  0.236130  0.005660   \n",
       "V4     -0.142571  0.045729 -0.194074  ... -0.014309 -0.000842 -0.013838   \n",
       "V5     -0.055061  0.074116 -0.042945  ... -0.044885 -0.117327 -0.041422   \n",
       "V6     -0.004109 -0.010418  0.004540  ...  0.071621 -0.059612  0.021147   \n",
       "V7      1.000000  0.121374  0.016294  ... -0.144194  0.061378  0.070469   \n",
       "V8      0.121374  1.000000 -0.088749  ... -0.342263  0.170301 -0.069828   \n",
       "V9      0.016294 -0.088749  1.000000  ... -0.006213  0.029232  0.006941   \n",
       "V10     0.225660 -0.131193  0.116174  ...  0.032409 -0.119726  0.072742   \n",
       "V11    -0.181762  0.028498  0.065915  ...  0.015491  0.053719  0.043221   \n",
       "V12     0.232187 -0.089486 -0.224263  ...  0.056865  0.097171 -0.004548   \n",
       "V13    -0.037453 -0.017205  0.215058  ... -0.034701 -0.043440  0.006228   \n",
       "V14     0.060488 -0.029391  0.255964  ... -0.024633 -0.084610  0.060968   \n",
       "V15     0.098148 -0.029913 -0.224203  ...  0.038229  0.043588  0.006834   \n",
       "V16     0.090560 -0.005489 -0.041964  ... -0.047320 -0.132169  0.038639   \n",
       "V17     0.114852 -0.053675  0.233096  ... -0.017216 -0.017766  0.101810   \n",
       "V18     0.113598 -0.031512  0.097443  ...  0.011493 -0.035694 -0.026320   \n",
       "V19    -0.052096  0.030643 -0.079649  ...  0.015044 -0.031591 -0.045993   \n",
       "V20     0.063808  0.065694  0.018747  ... -0.280731  0.101737 -0.095886   \n",
       "V21    -0.144194 -0.342263 -0.006213  ...  1.000000 -0.313856  0.144139   \n",
       "V22     0.061378  0.170301  0.029232  ... -0.313856  1.000000 -0.071503   \n",
       "V23     0.070469 -0.069828  0.006941  ...  0.144139 -0.071503  1.000000   \n",
       "V24     0.008311  0.017761  0.008089  ... -0.046413  0.016230  0.027419   \n",
       "V25    -0.063573  0.012704  0.154589  ...  0.015162 -0.077229  0.054270   \n",
       "V26    -0.085775  0.021227  0.086859  ... -0.022162 -0.047147  0.029471   \n",
       "V27    -0.156030  0.047988 -0.066839  ...  0.015241 -0.048828 -0.030661   \n",
       "V28    -0.049434  0.082024 -0.086297  ...  0.030376 -0.032141  0.081024   \n",
       "Amount  0.293652 -0.066965 -0.010328  ...  0.011111 -0.009492 -0.164027   \n",
       "Class  -0.286924  0.054047 -0.186959  ...  0.038100  0.006943 -0.050280   \n",
       "\n",
       "             V24       V25       V26       V27       V28    Amount     Class  \n",
       "Time   -0.023751  0.052160  0.078801 -0.037687 -0.015772 -0.017941  0.036345  \n",
       "V1     -0.011504  0.250103  0.012080 -0.109678  0.072922 -0.185156 -0.118379  \n",
       "V2     -0.031372 -0.159772 -0.054228  0.038840 -0.025315 -0.444916  0.185733  \n",
       "V3      0.025486 -0.152694  0.037753 -0.153106 -0.057497 -0.150082 -0.420336  \n",
       "V4     -0.050024 -0.064686  0.055587  0.023071  0.009171  0.121732  0.255711  \n",
       "V5      0.018675 -0.022608 -0.105957 -0.014589 -0.115975 -0.382393 -0.102717  \n",
       "V6      0.025976  0.079657 -0.037069 -0.068796 -0.011026  0.220215 -0.104988  \n",
       "V7      0.008311 -0.063573 -0.085775 -0.156030 -0.049434  0.293652 -0.286924  \n",
       "V8      0.017761  0.012704  0.021227  0.047988  0.082024 -0.066965  0.054047  \n",
       "V9      0.008089  0.154589  0.086859 -0.066839 -0.086297 -0.010328 -0.186959  \n",
       "V10     0.039962  0.004243  0.018079 -0.123360 -0.140626 -0.086595 -0.361688  \n",
       "V11     0.021683 -0.111734  0.077350  0.018040 -0.001119 -0.029291  0.312198  \n",
       "V12     0.035643  0.025595 -0.068852  0.004733  0.002991  0.000687 -0.366283  \n",
       "V13    -0.009672  0.034940  0.086152 -0.055896 -0.008713  0.018405 -0.022599  \n",
       "V14     0.041647 -0.006578  0.051132 -0.103481  0.054649 -0.013897 -0.518895  \n",
       "V15    -0.001119 -0.111114 -0.067908  0.032723 -0.027711 -0.053103 -0.003843  \n",
       "V16     0.022638  0.116155  0.121310 -0.041236  0.032351 -0.016660 -0.340421  \n",
       "V17     0.011864 -0.026457 -0.061091 -0.100120 -0.033057  0.005865 -0.430451  \n",
       "V18     0.003397  0.040862  0.064598 -0.011992  0.001054  0.026021 -0.171130  \n",
       "V19     0.014624 -0.021394 -0.027754 -0.004889 -0.029637 -0.021714  0.022600  \n",
       "V20     0.024383 -0.022884  0.002735  0.040500  0.015553  0.215105  0.039452  \n",
       "V21    -0.046413  0.015162 -0.022162  0.015241  0.030376  0.011111  0.038100  \n",
       "V22     0.016230 -0.077229 -0.047147 -0.048828 -0.032141 -0.009492  0.006943  \n",
       "V23     0.027419  0.054270  0.029471 -0.030661  0.081024 -0.164027 -0.050280  \n",
       "V24     1.000000 -0.033324 -0.026425 -0.000263  0.019298  0.014040 -0.042226  \n",
       "V25    -0.033324  1.000000 -0.099150  0.077862  0.073586 -0.030987 -0.036042  \n",
       "V26    -0.026425 -0.099150  1.000000 -0.018545  0.029653  0.022419  0.024964  \n",
       "V27    -0.000263  0.077862 -0.018545  1.000000  0.289947  0.042703  0.095203  \n",
       "V28     0.019298  0.073586  0.029653  0.289947  1.000000  0.061041  0.036824  \n",
       "Amount  0.014040 -0.030987  0.022419  0.042703  0.061041  1.000000  0.014757  \n",
       "Class  -0.042226 -0.036042  0.024964  0.095203  0.036824  0.014757  1.000000  \n",
       "\n",
       "[31 rows x 31 columns]"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.corr()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "42bfaeaa",
   "metadata": {},
   "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       1\n",
       "V13       1\n",
       "V14       1\n",
       "V15       1\n",
       "V16       1\n",
       "V17       1\n",
       "V18       1\n",
       "V19       1\n",
       "V20       1\n",
       "V21       1\n",
       "V22       1\n",
       "V23       1\n",
       "V24       1\n",
       "V25       1\n",
       "V26       1\n",
       "V27       1\n",
       "V28       1\n",
       "Amount    1\n",
       "Class     1\n",
       "dtype: int64"
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.isnull().sum()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "id": "3a560b55",
   "metadata": {},
   "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": 10,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# As there are very less number of null values, dropping the null values:\n",
    "df = df.dropna()\n",
    "df.isnull().sum()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "id": "1ae12915",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "44"
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.duplicated().sum()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "id": "1fd95e02",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0"
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Dropping duplicated values\n",
    "df = df.drop_duplicates()\n",
    "df.duplicated().sum()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "id": "808e8c57",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(11620, 31)"
      ]
     },
     "execution_count": 13,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "id": "0b2345f3",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([0., 1.])"
      ]
     },
     "execution_count": 14,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.Class.unique()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "id": "7fe3f915",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Fraud Transactions:  49\n",
      "Non Fraud:  11571\n",
      "Percentage of fraud transactions:  0.42168674698795183\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "non_fraud = len(df[df['Class'] == 0])\n",
    "fraud = len(df[df['Class'] == 1])\n",
    "percent_fraud = (fraud / (fraud + non_fraud)) * 100\n",
    "print(\"Fraud Transactions: \", fraud)\n",
    "print(\"Non Fraud: \", non_fraud)\n",
    "print(\"Percentage of fraud transactions: \", percent_fraud)\n",
    "sns.countplot(x = df['Class'], hue = df['Class'])\n",
    "plt.xlabel(\"Class\")\n",
    "plt.ylabel(\"Count\")\n",
    "plt.title(\"Count of Fraud and Genuine transactions\")\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "id": "57507a55",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>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>V10</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>-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>0.090794</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",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\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>-0.166974</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>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\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>0.207643</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>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\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>-0.054952</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>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\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>0.753074</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>0.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>5 rows × 30 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "         V1        V2        V3        V4        V5        V6        V7  \\\n",
       "0 -1.359807 -0.072781  2.536347  1.378155 -0.338321  0.462388  0.239599   \n",
       "1  1.191857  0.266151  0.166480  0.448154  0.060018 -0.082361 -0.078803   \n",
       "2 -1.358354 -1.340163  1.773209  0.379780 -0.503198  1.800499  0.791461   \n",
       "3 -0.966272 -0.185226  1.792993 -0.863291 -0.010309  1.247203  0.237609   \n",
       "4 -1.158233  0.877737  1.548718  0.403034 -0.407193  0.095921  0.592941   \n",
       "\n",
       "         V8        V9       V10  ...       V21       V22       V23       V24  \\\n",
       "0  0.098698  0.363787  0.090794  ... -0.018307  0.277838 -0.110474  0.066928   \n",
       "1  0.085102 -0.255425 -0.166974  ... -0.225775 -0.638672  0.101288 -0.339846   \n",
       "2  0.247676 -1.514654  0.207643  ...  0.247998  0.771679  0.909412 -0.689281   \n",
       "3  0.377436 -1.387024 -0.054952  ... -0.108300  0.005274 -0.190321 -1.175575   \n",
       "4 -0.270533  0.817739  0.753074  ... -0.009431  0.798278 -0.137458  0.141267   \n",
       "\n",
       "        V25       V26       V27       V28  Amount  Class  \n",
       "0  0.128539 -0.189115  0.133558 -0.021053  149.62    0.0  \n",
       "1  0.167170  0.125895 -0.008983  0.014724    2.69    0.0  \n",
       "2 -0.327642 -0.139097 -0.055353 -0.059752  378.66    0.0  \n",
       "3  0.647376 -0.221929  0.062723  0.061458  123.50    0.0  \n",
       "4 -0.206010  0.502292  0.219422  0.215153   69.99    0.0  \n",
       "\n",
       "[5 rows x 30 columns]"
      ]
     },
     "execution_count": 16,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#Dropping Time Column\n",
    "df = df.drop(columns = ['Time'])\n",
    "df.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "id": "5fde1aac",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "\n",
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       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></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>V10</th>\n",
       "      <th>...</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",
       "      <th>NormalizedAmount</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\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>0.090794</td>\n",
       "      <td>...</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",
       "      <td>0.0</td>\n",
       "      <td>0.481127</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\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>-0.166974</td>\n",
       "      <td>...</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>0.0</td>\n",
       "      <td>-0.334618</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\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>0.207643</td>\n",
       "      <td>...</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>0.0</td>\n",
       "      <td>1.752740</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\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>-0.054952</td>\n",
       "      <td>...</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>0.0</td>\n",
       "      <td>0.336110</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\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>0.753074</td>\n",
       "      <td>...</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>0.0</td>\n",
       "      <td>0.039027</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\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>-0.371407</td>\n",
       "      <td>...</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>0.0</td>\n",
       "      <td>-0.329177</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\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>-0.099254</td>\n",
       "      <td>...</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>0.0</td>\n",
       "      <td>-0.321849</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\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>1.249376</td>\n",
       "      <td>...</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>0.0</td>\n",
       "      <td>-0.123034</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\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>-0.410430</td>\n",
       "      <td>...</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>0.0</td>\n",
       "      <td>0.167887</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>-0.338262</td>\n",
       "      <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>-0.366846</td>\n",
       "      <td>...</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>0.0</td>\n",
       "      <td>-0.329122</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>10 rows × 31 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "         V1        V2        V3        V4        V5        V6        V7  \\\n",
       "0 -1.359807 -0.072781  2.536347  1.378155 -0.338321  0.462388  0.239599   \n",
       "1  1.191857  0.266151  0.166480  0.448154  0.060018 -0.082361 -0.078803   \n",
       "2 -1.358354 -1.340163  1.773209  0.379780 -0.503198  1.800499  0.791461   \n",
       "3 -0.966272 -0.185226  1.792993 -0.863291 -0.010309  1.247203  0.237609   \n",
       "4 -1.158233  0.877737  1.548718  0.403034 -0.407193  0.095921  0.592941   \n",
       "5 -0.425966  0.960523  1.141109 -0.168252  0.420987 -0.029728  0.476201   \n",
       "6  1.229658  0.141004  0.045371  1.202613  0.191881  0.272708 -0.005159   \n",
       "7 -0.644269  1.417964  1.074380 -0.492199  0.948934  0.428118  1.120631   \n",
       "8 -0.894286  0.286157 -0.113192 -0.271526  2.669599  3.721818  0.370145   \n",
       "9 -0.338262  1.119593  1.044367 -0.222187  0.499361 -0.246761  0.651583   \n",
       "\n",
       "         V8        V9       V10  ...       V22       V23       V24       V25  \\\n",
       "0  0.098698  0.363787  0.090794  ...  0.277838 -0.110474  0.066928  0.128539   \n",
       "1  0.085102 -0.255425 -0.166974  ... -0.638672  0.101288 -0.339846  0.167170   \n",
       "2  0.247676 -1.514654  0.207643  ...  0.771679  0.909412 -0.689281 -0.327642   \n",
       "3  0.377436 -1.387024 -0.054952  ...  0.005274 -0.190321 -1.175575  0.647376   \n",
       "4 -0.270533  0.817739  0.753074  ...  0.798278 -0.137458  0.141267 -0.206010   \n",
       "5  0.260314 -0.568671 -0.371407  ... -0.559825 -0.026398 -0.371427 -0.232794   \n",
       "6  0.081213  0.464960 -0.099254  ... -0.270710 -0.154104 -0.780055  0.750137   \n",
       "7 -3.807864  0.615375  1.249376  ... -1.015455  0.057504 -0.649709 -0.415267   \n",
       "8  0.851084 -0.392048 -0.410430  ... -0.268092 -0.204233  1.011592  0.373205   \n",
       "9  0.069539 -0.736727 -0.366846  ... -0.633753 -0.120794 -0.385050 -0.069733   \n",
       "\n",
       "        V26       V27       V28  Amount  Class  NormalizedAmount  \n",
       "0 -0.189115  0.133558 -0.021053  149.62    0.0          0.481127  \n",
       "1  0.125895 -0.008983  0.014724    2.69    0.0         -0.334618  \n",
       "2 -0.139097 -0.055353 -0.059752  378.66    0.0          1.752740  \n",
       "3 -0.221929  0.062723  0.061458  123.50    0.0          0.336110  \n",
       "4  0.502292  0.219422  0.215153   69.99    0.0          0.039027  \n",
       "5  0.105915  0.253844  0.081080    3.67    0.0         -0.329177  \n",
       "6 -0.257237  0.034507  0.005168    4.99    0.0         -0.321849  \n",
       "7 -0.051634 -1.206921 -1.085339   40.80    0.0         -0.123034  \n",
       "8 -0.384157  0.011747  0.142404   93.20    0.0          0.167887  \n",
       "9  0.094199  0.246219  0.083076    3.68    0.0         -0.329122  \n",
       "\n",
       "[10 rows x 31 columns]"
      ]
     },
     "execution_count": 17,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Normalizing Amount column\n",
    "from sklearn.preprocessing import StandardScaler\n",
    "sc = StandardScaler()\n",
    "df['NormalizedAmount'] = sc.fit_transform(df[['Amount']])\n",
    "df.head(10)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "id": "fbe5e1f8",
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></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>V10</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>Class</th>\n",
       "      <th>NormalizedAmount</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\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>0.090794</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>0.0</td>\n",
       "      <td>0.481127</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\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>-0.166974</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>0.0</td>\n",
       "      <td>-0.334618</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\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>0.207643</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>0.0</td>\n",
       "      <td>1.752740</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\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>-0.054952</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>0.0</td>\n",
       "      <td>0.336110</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\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>0.753074</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>0.0</td>\n",
       "      <td>0.039027</td>\n",
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       "</table>\n",
       "<p>5 rows × 30 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "         V1        V2        V3        V4        V5        V6        V7  \\\n",
       "0 -1.359807 -0.072781  2.536347  1.378155 -0.338321  0.462388  0.239599   \n",
       "1  1.191857  0.266151  0.166480  0.448154  0.060018 -0.082361 -0.078803   \n",
       "2 -1.358354 -1.340163  1.773209  0.379780 -0.503198  1.800499  0.791461   \n",
       "3 -0.966272 -0.185226  1.792993 -0.863291 -0.010309  1.247203  0.237609   \n",
       "4 -1.158233  0.877737  1.548718  0.403034 -0.407193  0.095921  0.592941   \n",
       "\n",
       "         V8        V9       V10  ...       V21       V22       V23       V24  \\\n",
       "0  0.098698  0.363787  0.090794  ... -0.018307  0.277838 -0.110474  0.066928   \n",
       "1  0.085102 -0.255425 -0.166974  ... -0.225775 -0.638672  0.101288 -0.339846   \n",
       "2  0.247676 -1.514654  0.207643  ...  0.247998  0.771679  0.909412 -0.689281   \n",
       "3  0.377436 -1.387024 -0.054952  ... -0.108300  0.005274 -0.190321 -1.175575   \n",
       "4 -0.270533  0.817739  0.753074  ... -0.009431  0.798278 -0.137458  0.141267   \n",
       "\n",
       "        V25       V26       V27       V28  Class  NormalizedAmount  \n",
       "0  0.128539 -0.189115  0.133558 -0.021053    0.0          0.481127  \n",
       "1  0.167170  0.125895 -0.008983  0.014724    0.0         -0.334618  \n",
       "2 -0.327642 -0.139097 -0.055353 -0.059752    0.0          1.752740  \n",
       "3  0.647376 -0.221929  0.062723  0.061458    0.0          0.336110  \n",
       "4 -0.206010  0.502292  0.219422  0.215153    0.0          0.039027  \n",
       "\n",
       "[5 rows x 30 columns]"
      ]
     },
     "execution_count": 18,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Dropping Amount column\n",
    "df = df.drop(columns = ['Amount'])\n",
    "df.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "id": "073320c4",
   "metadata": {},
   "outputs": [
    {
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       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></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",
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       "      <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>Class</th>\n",
       "      <th>NormalizedAmount</th>\n",
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       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>541</th>\n",
       "      <td>-2.312227</td>\n",
       "      <td>1.951992</td>\n",
       "      <td>-1.609851</td>\n",
       "      <td>3.997906</td>\n",
       "      <td>-0.522188</td>\n",
       "      <td>-1.426545</td>\n",
       "      <td>-2.537387</td>\n",
       "      <td>1.391657</td>\n",
       "      <td>-2.770089</td>\n",
       "      <td>-2.772272</td>\n",
       "      <td>...</td>\n",
       "      <td>0.517232</td>\n",
       "      <td>-0.035049</td>\n",
       "      <td>-0.465211</td>\n",
       "      <td>0.320198</td>\n",
       "      <td>0.044519</td>\n",
       "      <td>0.177840</td>\n",
       "      <td>0.261145</td>\n",
       "      <td>-0.143276</td>\n",
       "      <td>1.0</td>\n",
       "      <td>-0.349553</td>\n",
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       "    <tr>\n",
       "      <th>623</th>\n",
       "      <td>-3.043541</td>\n",
       "      <td>-3.157307</td>\n",
       "      <td>1.088463</td>\n",
       "      <td>2.288644</td>\n",
       "      <td>1.359805</td>\n",
       "      <td>-1.064823</td>\n",
       "      <td>0.325574</td>\n",
       "      <td>-0.067794</td>\n",
       "      <td>-0.270953</td>\n",
       "      <td>-0.838587</td>\n",
       "      <td>...</td>\n",
       "      <td>0.661696</td>\n",
       "      <td>0.435477</td>\n",
       "      <td>1.375966</td>\n",
       "      <td>-0.293803</td>\n",
       "      <td>0.279798</td>\n",
       "      <td>-0.145362</td>\n",
       "      <td>-0.252773</td>\n",
       "      <td>0.035764</td>\n",
       "      <td>1.0</td>\n",
       "      <td>2.587417</td>\n",
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       "    <tr>\n",
       "      <th>4920</th>\n",
       "      <td>-2.303350</td>\n",
       "      <td>1.759247</td>\n",
       "      <td>-0.359745</td>\n",
       "      <td>2.330243</td>\n",
       "      <td>-0.821628</td>\n",
       "      <td>-0.075788</td>\n",
       "      <td>0.562320</td>\n",
       "      <td>-0.399147</td>\n",
       "      <td>-0.238253</td>\n",
       "      <td>-1.525412</td>\n",
       "      <td>...</td>\n",
       "      <td>-0.294166</td>\n",
       "      <td>-0.932391</td>\n",
       "      <td>0.172726</td>\n",
       "      <td>-0.087330</td>\n",
       "      <td>-0.156114</td>\n",
       "      <td>-0.542628</td>\n",
       "      <td>0.039566</td>\n",
       "      <td>-0.153029</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.982521</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6108</th>\n",
       "      <td>-4.397974</td>\n",
       "      <td>1.358367</td>\n",
       "      <td>-2.592844</td>\n",
       "      <td>2.679787</td>\n",
       "      <td>-1.128131</td>\n",
       "      <td>-1.706536</td>\n",
       "      <td>-3.496197</td>\n",
       "      <td>-0.248778</td>\n",
       "      <td>-0.247768</td>\n",
       "      <td>-4.801637</td>\n",
       "      <td>...</td>\n",
       "      <td>0.573574</td>\n",
       "      <td>0.176968</td>\n",
       "      <td>-0.436207</td>\n",
       "      <td>-0.053502</td>\n",
       "      <td>0.252405</td>\n",
       "      <td>-0.657488</td>\n",
       "      <td>-0.827136</td>\n",
       "      <td>0.849573</td>\n",
       "      <td>1.0</td>\n",
       "      <td>-0.021989</td>\n",
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       "    <tr>\n",
       "      <th>6329</th>\n",
       "      <td>1.234235</td>\n",
       "      <td>3.019740</td>\n",
       "      <td>-4.304597</td>\n",
       "      <td>4.732795</td>\n",
       "      <td>3.624201</td>\n",
       "      <td>-1.357746</td>\n",
       "      <td>1.713445</td>\n",
       "      <td>-0.496358</td>\n",
       "      <td>-1.282858</td>\n",
       "      <td>-2.447469</td>\n",
       "      <td>...</td>\n",
       "      <td>-0.379068</td>\n",
       "      <td>-0.704181</td>\n",
       "      <td>-0.656805</td>\n",
       "      <td>-1.632653</td>\n",
       "      <td>1.488901</td>\n",
       "      <td>0.566797</td>\n",
       "      <td>-0.010016</td>\n",
       "      <td>0.146793</td>\n",
       "      <td>1.0</td>\n",
       "      <td>-0.344001</td>\n",
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       "    <tr>\n",
       "      <th>6331</th>\n",
       "      <td>0.008430</td>\n",
       "      <td>4.137837</td>\n",
       "      <td>-6.240697</td>\n",
       "      <td>6.675732</td>\n",
       "      <td>0.768307</td>\n",
       "      <td>-3.353060</td>\n",
       "      <td>-1.631735</td>\n",
       "      <td>0.154612</td>\n",
       "      <td>-2.795892</td>\n",
       "      <td>-6.187891</td>\n",
       "      <td>...</td>\n",
       "      <td>0.364514</td>\n",
       "      <td>-0.608057</td>\n",
       "      <td>-0.539528</td>\n",
       "      <td>0.128940</td>\n",
       "      <td>1.488481</td>\n",
       "      <td>0.507963</td>\n",
       "      <td>0.735822</td>\n",
       "      <td>0.513574</td>\n",
       "      <td>1.0</td>\n",
       "      <td>-0.344001</td>\n",
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       "    <tr>\n",
       "      <th>6334</th>\n",
       "      <td>0.026779</td>\n",
       "      <td>4.132464</td>\n",
       "      <td>-6.560600</td>\n",
       "      <td>6.348557</td>\n",
       "      <td>1.329666</td>\n",
       "      <td>-2.513479</td>\n",
       "      <td>-1.689102</td>\n",
       "      <td>0.303253</td>\n",
       "      <td>-3.139409</td>\n",
       "      <td>-6.045468</td>\n",
       "      <td>...</td>\n",
       "      <td>0.370509</td>\n",
       "      <td>-0.576752</td>\n",
       "      <td>-0.669605</td>\n",
       "      <td>-0.759908</td>\n",
       "      <td>1.605056</td>\n",
       "      <td>0.540675</td>\n",
       "      <td>0.737040</td>\n",
       "      <td>0.496699</td>\n",
       "      <td>1.0</td>\n",
       "      <td>-0.344001</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6336</th>\n",
       "      <td>0.329594</td>\n",
       "      <td>3.712889</td>\n",
       "      <td>-5.775935</td>\n",
       "      <td>6.078266</td>\n",
       "      <td>1.667359</td>\n",
       "      <td>-2.420168</td>\n",
       "      <td>-0.812891</td>\n",
       "      <td>0.133080</td>\n",
       "      <td>-2.214311</td>\n",
       "      <td>-5.134454</td>\n",
       "      <td>...</td>\n",
       "      <td>0.156617</td>\n",
       "      <td>-0.652450</td>\n",
       "      <td>-0.551572</td>\n",
       "      <td>-0.716522</td>\n",
       "      <td>1.415717</td>\n",
       "      <td>0.555265</td>\n",
       "      <td>0.530507</td>\n",
       "      <td>0.404474</td>\n",
       "      <td>1.0</td>\n",
       "      <td>-0.344001</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6338</th>\n",
       "      <td>0.316459</td>\n",
       "      <td>3.809076</td>\n",
       "      <td>-5.615159</td>\n",
       "      <td>6.047445</td>\n",
       "      <td>1.554026</td>\n",
       "      <td>-2.651353</td>\n",
       "      <td>-0.746579</td>\n",
       "      <td>0.055586</td>\n",
       "      <td>-2.678679</td>\n",
       "      <td>-4.959493</td>\n",
       "      <td>...</td>\n",
       "      <td>0.208828</td>\n",
       "      <td>-0.511747</td>\n",
       "      <td>-0.583813</td>\n",
       "      <td>-0.219845</td>\n",
       "      <td>1.474753</td>\n",
       "      <td>0.491192</td>\n",
       "      <td>0.518868</td>\n",
       "      <td>0.402528</td>\n",
       "      <td>1.0</td>\n",
       "      <td>-0.344001</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6427</th>\n",
       "      <td>0.725646</td>\n",
       "      <td>2.300894</td>\n",
       "      <td>-5.329976</td>\n",
       "      <td>4.007683</td>\n",
       "      <td>-1.730411</td>\n",
       "      <td>-1.732193</td>\n",
       "      <td>-3.968593</td>\n",
       "      <td>1.063728</td>\n",
       "      <td>-0.486097</td>\n",
       "      <td>-4.624985</td>\n",
       "      <td>...</td>\n",
       "      <td>0.589669</td>\n",
       "      <td>0.109541</td>\n",
       "      <td>0.601045</td>\n",
       "      <td>-0.364700</td>\n",
       "      <td>-1.843078</td>\n",
       "      <td>0.351909</td>\n",
       "      <td>0.594550</td>\n",
       "      <td>0.099372</td>\n",
       "      <td>1.0</td>\n",
       "      <td>-0.344001</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6446</th>\n",
       "      <td>0.702710</td>\n",
       "      <td>2.426433</td>\n",
       "      <td>-5.234513</td>\n",
       "      <td>4.416661</td>\n",
       "      <td>-2.170806</td>\n",
       "      <td>-2.667554</td>\n",
       "      <td>-3.878088</td>\n",
       "      <td>0.911337</td>\n",
       "      <td>-0.166199</td>\n",
       "      <td>-5.009249</td>\n",
       "      <td>...</td>\n",
       "      <td>0.551180</td>\n",
       "      <td>-0.009802</td>\n",
       "      <td>0.721698</td>\n",
       "      <td>0.473246</td>\n",
       "      <td>-1.959304</td>\n",
       "      <td>0.319476</td>\n",
       "      <td>0.600485</td>\n",
       "      <td>0.129305</td>\n",
       "      <td>1.0</td>\n",
       "      <td>-0.344001</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6472</th>\n",
       "      <td>1.023874</td>\n",
       "      <td>2.001485</td>\n",
       "      <td>-4.769752</td>\n",
       "      <td>3.819195</td>\n",
       "      <td>-1.271754</td>\n",
       "      <td>-1.734662</td>\n",
       "      <td>-3.059245</td>\n",
       "      <td>0.889805</td>\n",
       "      <td>0.415382</td>\n",
       "      <td>-3.955812</td>\n",
       "      <td>...</td>\n",
       "      <td>0.343283</td>\n",
       "      <td>-0.054196</td>\n",
       "      <td>0.709654</td>\n",
       "      <td>-0.372216</td>\n",
       "      <td>-2.032068</td>\n",
       "      <td>0.366778</td>\n",
       "      <td>0.395171</td>\n",
       "      <td>0.020206</td>\n",
       "      <td>1.0</td>\n",
       "      <td>-0.344001</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6529</th>\n",
       "      <td>-1.585505</td>\n",
       "      <td>3.261585</td>\n",
       "      <td>-4.137422</td>\n",
       "      <td>2.357096</td>\n",
       "      <td>-1.405043</td>\n",
       "      <td>-1.879437</td>\n",
       "      <td>-3.513687</td>\n",
       "      <td>1.515607</td>\n",
       "      <td>-1.207166</td>\n",
       "      <td>-6.234561</td>\n",
       "      <td>...</td>\n",
       "      <td>0.501543</td>\n",
       "      <td>-0.546869</td>\n",
       "      <td>-0.076584</td>\n",
       "      <td>-0.425550</td>\n",
       "      <td>0.123644</td>\n",
       "      <td>0.321985</td>\n",
       "      <td>0.264028</td>\n",
       "      <td>0.132817</td>\n",
       "      <td>1.0</td>\n",
       "      <td>-0.344001</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6609</th>\n",
       "      <td>-1.783229</td>\n",
       "      <td>3.402794</td>\n",
       "      <td>-3.822742</td>\n",
       "      <td>2.625368</td>\n",
       "      <td>-1.976415</td>\n",
       "      <td>-2.731689</td>\n",
       "      <td>-3.430559</td>\n",
       "      <td>1.413204</td>\n",
       "      <td>-0.776941</td>\n",
       "      <td>-6.199882</td>\n",
       "      <td>...</td>\n",
       "      <td>0.454032</td>\n",
       "      <td>-0.577526</td>\n",
       "      <td>0.045967</td>\n",
       "      <td>0.461700</td>\n",
       "      <td>0.044146</td>\n",
       "      <td>0.305704</td>\n",
       "      <td>0.530981</td>\n",
       "      <td>0.243746</td>\n",
       "      <td>1.0</td>\n",
       "      <td>-0.344001</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6641</th>\n",
       "      <td>0.857321</td>\n",
       "      <td>4.093912</td>\n",
       "      <td>-7.423894</td>\n",
       "      <td>7.380245</td>\n",
       "      <td>0.973366</td>\n",
       "      <td>-2.730762</td>\n",
       "      <td>-1.496497</td>\n",
       "      <td>0.543015</td>\n",
       "      <td>-2.351190</td>\n",
       "      <td>-3.944238</td>\n",
       "      <td>...</td>\n",
       "      <td>0.375026</td>\n",
       "      <td>0.145400</td>\n",
       "      <td>0.240603</td>\n",
       "      <td>-0.234649</td>\n",
       "      <td>-1.004881</td>\n",
       "      <td>0.435832</td>\n",
       "      <td>0.618324</td>\n",
       "      <td>0.148469</td>\n",
       "      <td>1.0</td>\n",
       "      <td>-0.344001</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6717</th>\n",
       "      <td>-1.813280</td>\n",
       "      <td>4.917851</td>\n",
       "      <td>-5.926130</td>\n",
       "      <td>5.701500</td>\n",
       "      <td>1.204393</td>\n",
       "      <td>-3.035138</td>\n",
       "      <td>-1.713402</td>\n",
       "      <td>0.561257</td>\n",
       "      <td>-3.796354</td>\n",
       "      <td>-7.454841</td>\n",
       "      <td>...</td>\n",
       "      <td>0.615642</td>\n",
       "      <td>-0.406427</td>\n",
       "      <td>-0.737018</td>\n",
       "      <td>-0.279642</td>\n",
       "      <td>1.106766</td>\n",
       "      <td>0.323885</td>\n",
       "      <td>0.894767</td>\n",
       "      <td>0.569519</td>\n",
       "      <td>1.0</td>\n",
       "      <td>-0.344001</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6719</th>\n",
       "      <td>-0.251471</td>\n",
       "      <td>4.313523</td>\n",
       "      <td>-6.891438</td>\n",
       "      <td>6.796797</td>\n",
       "      <td>0.616297</td>\n",
       "      <td>-2.966327</td>\n",
       "      <td>-2.436653</td>\n",
       "      <td>0.489328</td>\n",
       "      <td>-3.371639</td>\n",
       "      <td>-6.810813</td>\n",
       "      <td>...</td>\n",
       "      <td>0.536892</td>\n",
       "      <td>-0.546126</td>\n",
       "      <td>-0.605240</td>\n",
       "      <td>-0.263743</td>\n",
       "      <td>1.539916</td>\n",
       "      <td>0.523574</td>\n",
       "      <td>0.891025</td>\n",
       "      <td>0.572741</td>\n",
       "      <td>1.0</td>\n",
       "      <td>-0.344001</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6734</th>\n",
       "      <td>0.314597</td>\n",
       "      <td>2.660670</td>\n",
       "      <td>-5.920037</td>\n",
       "      <td>4.522500</td>\n",
       "      <td>-2.315027</td>\n",
       "      <td>-2.278352</td>\n",
       "      <td>-4.684054</td>\n",
       "      <td>1.202270</td>\n",
       "      <td>-0.694696</td>\n",
       "      <td>-5.526278</td>\n",
       "      <td>...</td>\n",
       "      <td>0.743314</td>\n",
       "      <td>0.064038</td>\n",
       "      <td>0.677842</td>\n",
       "      <td>0.083008</td>\n",
       "      <td>-1.911034</td>\n",
       "      <td>0.322188</td>\n",
       "      <td>0.620867</td>\n",
       "      <td>0.185030</td>\n",
       "      <td>1.0</td>\n",
       "      <td>-0.344001</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6774</th>\n",
       "      <td>0.447396</td>\n",
       "      <td>2.481954</td>\n",
       "      <td>-5.660814</td>\n",
       "      <td>4.455923</td>\n",
       "      <td>-2.443780</td>\n",
       "      <td>-2.185040</td>\n",
       "      <td>-4.716143</td>\n",
       "      <td>1.249803</td>\n",
       "      <td>-0.718326</td>\n",
       "      <td>-5.390330</td>\n",
       "      <td>...</td>\n",
       "      <td>0.756053</td>\n",
       "      <td>0.140168</td>\n",
       "      <td>0.665411</td>\n",
       "      <td>0.131464</td>\n",
       "      <td>-1.908217</td>\n",
       "      <td>0.334808</td>\n",
       "      <td>0.748534</td>\n",
       "      <td>0.175414</td>\n",
       "      <td>1.0</td>\n",
       "      <td>-0.344001</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6820</th>\n",
       "      <td>-2.169929</td>\n",
       "      <td>3.639654</td>\n",
       "      <td>-4.508498</td>\n",
       "      <td>2.730668</td>\n",
       "      <td>-2.122693</td>\n",
       "      <td>-2.341017</td>\n",
       "      <td>-4.235253</td>\n",
       "      <td>1.703538</td>\n",
       "      <td>-1.305279</td>\n",
       "      <td>-6.716720</td>\n",
       "      <td>...</td>\n",
       "      <td>0.645103</td>\n",
       "      <td>-0.503529</td>\n",
       "      <td>-0.000523</td>\n",
       "      <td>0.071696</td>\n",
       "      <td>0.092007</td>\n",
       "      <td>0.308498</td>\n",
       "      <td>0.552591</td>\n",
       "      <td>0.298954</td>\n",
       "      <td>1.0</td>\n",
       "      <td>-0.344001</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6870</th>\n",
       "      <td>-1.863756</td>\n",
       "      <td>3.442644</td>\n",
       "      <td>-4.468260</td>\n",
       "      <td>2.805336</td>\n",
       "      <td>-2.118412</td>\n",
       "      <td>-2.332285</td>\n",
       "      <td>-4.261237</td>\n",
       "      <td>1.701682</td>\n",
       "      <td>-1.439396</td>\n",
       "      <td>-6.999907</td>\n",
       "      <td>...</td>\n",
       "      <td>0.667927</td>\n",
       "      <td>-0.516242</td>\n",
       "      <td>-0.012218</td>\n",
       "      <td>0.070614</td>\n",
       "      <td>0.058504</td>\n",
       "      <td>0.304883</td>\n",
       "      <td>0.418012</td>\n",
       "      <td>0.208858</td>\n",
       "      <td>1.0</td>\n",
       "      <td>-0.344001</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6882</th>\n",
       "      <td>-4.617217</td>\n",
       "      <td>1.695694</td>\n",
       "      <td>-3.114372</td>\n",
       "      <td>4.328199</td>\n",
       "      <td>-1.873257</td>\n",
       "      <td>-0.989908</td>\n",
       "      <td>-4.577265</td>\n",
       "      <td>0.472216</td>\n",
       "      <td>0.472017</td>\n",
       "      <td>-5.576023</td>\n",
       "      <td>...</td>\n",
       "      <td>0.481830</td>\n",
       "      <td>0.146023</td>\n",
       "      <td>0.117039</td>\n",
       "      <td>-0.217565</td>\n",
       "      <td>-0.138776</td>\n",
       "      <td>-0.424453</td>\n",
       "      <td>-1.002041</td>\n",
       "      <td>0.890780</td>\n",
       "      <td>1.0</td>\n",
       "      <td>-0.343446</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6899</th>\n",
       "      <td>-2.661802</td>\n",
       "      <td>5.856393</td>\n",
       "      <td>-7.653616</td>\n",
       "      <td>6.379742</td>\n",
       "      <td>-0.060712</td>\n",
       "      <td>-3.131550</td>\n",
       "      <td>-3.103570</td>\n",
       "      <td>1.778492</td>\n",
       "      <td>-3.831154</td>\n",
       "      <td>-7.191604</td>\n",
       "      <td>...</td>\n",
       "      <td>0.734775</td>\n",
       "      <td>-0.435901</td>\n",
       "      <td>-0.384766</td>\n",
       "      <td>-0.286016</td>\n",
       "      <td>1.007934</td>\n",
       "      <td>0.413196</td>\n",
       "      <td>0.280284</td>\n",
       "      <td>0.303937</td>\n",
       "      <td>1.0</td>\n",
       "      <td>-0.344001</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6903</th>\n",
       "      <td>-2.535852</td>\n",
       "      <td>5.793644</td>\n",
       "      <td>-7.618463</td>\n",
       "      <td>6.395830</td>\n",
       "      <td>-0.065210</td>\n",
       "      <td>-3.136372</td>\n",
       "      <td>-3.104557</td>\n",
       "      <td>1.823233</td>\n",
       "      <td>-3.878658</td>\n",
       "      <td>-7.297803</td>\n",
       "      <td>...</td>\n",
       "      <td>0.716720</td>\n",
       "      <td>-0.448060</td>\n",
       "      <td>-0.402407</td>\n",
       "      <td>-0.288835</td>\n",
       "      <td>1.011752</td>\n",
       "      <td>0.425965</td>\n",
       "      <td>0.413140</td>\n",
       "      <td>0.308205</td>\n",
       "      <td>1.0</td>\n",
       "      <td>-0.344001</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6971</th>\n",
       "      <td>-3.499108</td>\n",
       "      <td>0.258555</td>\n",
       "      <td>-4.489558</td>\n",
       "      <td>4.853894</td>\n",
       "      <td>-6.974522</td>\n",
       "      <td>3.628382</td>\n",
       "      <td>5.431271</td>\n",
       "      <td>-1.946734</td>\n",
       "      <td>-0.775680</td>\n",
       "      <td>-1.987773</td>\n",
       "      <td>...</td>\n",
       "      <td>-1.052368</td>\n",
       "      <td>0.204817</td>\n",
       "      <td>-2.119007</td>\n",
       "      <td>0.170279</td>\n",
       "      <td>-0.393844</td>\n",
       "      <td>0.296367</td>\n",
       "      <td>1.985913</td>\n",
       "      <td>-0.900452</td>\n",
       "      <td>1.0</td>\n",
       "      <td>9.697661</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8296</th>\n",
       "      <td>-2.125490</td>\n",
       "      <td>5.973556</td>\n",
       "      <td>-11.034727</td>\n",
       "      <td>9.007147</td>\n",
       "      <td>-1.689451</td>\n",
       "      <td>-2.854415</td>\n",
       "      <td>-7.810441</td>\n",
       "      <td>2.030870</td>\n",
       "      <td>-5.902828</td>\n",
       "      <td>-12.840934</td>\n",
       "      <td>...</td>\n",
       "      <td>1.646518</td>\n",
       "      <td>-0.278485</td>\n",
       "      <td>-0.664841</td>\n",
       "      <td>-1.164555</td>\n",
       "      <td>1.701796</td>\n",
       "      <td>0.690806</td>\n",
       "      <td>2.119749</td>\n",
       "      <td>1.108933</td>\n",
       "      <td>1.0</td>\n",
       "      <td>-0.344001</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8312</th>\n",
       "      <td>0.378275</td>\n",
       "      <td>3.914797</td>\n",
       "      <td>-5.726872</td>\n",
       "      <td>6.094141</td>\n",
       "      <td>1.698875</td>\n",
       "      <td>-2.807314</td>\n",
       "      <td>-0.591118</td>\n",
       "      <td>-0.123496</td>\n",
       "      <td>-2.530713</td>\n",
       "      <td>-5.153095</td>\n",
       "      <td>...</td>\n",
       "      <td>0.149896</td>\n",
       "      <td>-0.601967</td>\n",
       "      <td>-0.613724</td>\n",
       "      <td>-0.403114</td>\n",
       "      <td>1.568445</td>\n",
       "      <td>0.521884</td>\n",
       "      <td>0.527938</td>\n",
       "      <td>0.411910</td>\n",
       "      <td>1.0</td>\n",
       "      <td>-0.344001</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8335</th>\n",
       "      <td>-1.426623</td>\n",
       "      <td>4.141986</td>\n",
       "      <td>-9.804103</td>\n",
       "      <td>6.666273</td>\n",
       "      <td>-4.749527</td>\n",
       "      <td>-2.073129</td>\n",
       "      <td>-10.089931</td>\n",
       "      <td>2.791345</td>\n",
       "      <td>-3.249516</td>\n",
       "      <td>-11.420451</td>\n",
       "      <td>...</td>\n",
       "      <td>1.865679</td>\n",
       "      <td>0.407809</td>\n",
       "      <td>0.605809</td>\n",
       "      <td>-0.769348</td>\n",
       "      <td>-1.746337</td>\n",
       "      <td>0.502040</td>\n",
       "      <td>1.977258</td>\n",
       "      <td>0.711607</td>\n",
       "      <td>1.0</td>\n",
       "      <td>-0.344001</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8615</th>\n",
       "      <td>-3.891192</td>\n",
       "      <td>7.098916</td>\n",
       "      <td>-11.426467</td>\n",
       "      <td>8.607557</td>\n",
       "      <td>-2.065706</td>\n",
       "      <td>-2.985288</td>\n",
       "      <td>-8.138589</td>\n",
       "      <td>2.973928</td>\n",
       "      <td>-6.272790</td>\n",
       "      <td>-13.193415</td>\n",
       "      <td>...</td>\n",
       "      <td>1.757085</td>\n",
       "      <td>-0.189709</td>\n",
       "      <td>-0.508629</td>\n",
       "      <td>-1.189308</td>\n",
       "      <td>1.188536</td>\n",
       "      <td>0.605242</td>\n",
       "      <td>1.881529</td>\n",
       "      <td>0.875260</td>\n",
       "      <td>1.0</td>\n",
       "      <td>-0.344001</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8617</th>\n",
       "      <td>0.919137</td>\n",
       "      <td>4.199633</td>\n",
       "      <td>-7.535607</td>\n",
       "      <td>7.426940</td>\n",
       "      <td>1.118215</td>\n",
       "      <td>-2.886722</td>\n",
       "      <td>-1.341036</td>\n",
       "      <td>0.363933</td>\n",
       "      <td>-2.203224</td>\n",
       "      <td>-4.137840</td>\n",
       "      <td>...</td>\n",
       "      <td>0.316094</td>\n",
       "      <td>0.055179</td>\n",
       "      <td>0.210692</td>\n",
       "      <td>-0.417918</td>\n",
       "      <td>-0.911188</td>\n",
       "      <td>0.466524</td>\n",
       "      <td>0.627393</td>\n",
       "      <td>0.157851</td>\n",
       "      <td>1.0</td>\n",
       "      <td>-0.344001</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8842</th>\n",
       "      <td>-4.696795</td>\n",
       "      <td>2.693867</td>\n",
       "      <td>-4.475133</td>\n",
       "      <td>5.467685</td>\n",
       "      <td>-1.556758</td>\n",
       "      <td>-1.549420</td>\n",
       "      <td>-4.104215</td>\n",
       "      <td>0.553934</td>\n",
       "      <td>-1.498468</td>\n",
       "      <td>-4.594952</td>\n",
       "      <td>...</td>\n",
       "      <td>0.573898</td>\n",
       "      <td>-0.080163</td>\n",
       "      <td>0.318408</td>\n",
       "      <td>-0.245862</td>\n",
       "      <td>0.338238</td>\n",
       "      <td>0.032271</td>\n",
       "      <td>-1.508458</td>\n",
       "      <td>0.608075</td>\n",
       "      <td>1.0</td>\n",
       "      <td>-0.349553</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8845</th>\n",
       "      <td>-4.727713</td>\n",
       "      <td>3.044469</td>\n",
       "      <td>-5.598354</td>\n",
       "      <td>5.928191</td>\n",
       "      <td>-2.190770</td>\n",
       "      <td>-1.529323</td>\n",
       "      <td>-4.487422</td>\n",
       "      <td>0.916392</td>\n",
       "      <td>-1.307010</td>\n",
       "      <td>-4.138891</td>\n",
       "      <td>...</td>\n",
       "      <td>0.650988</td>\n",
       "      <td>0.254983</td>\n",
       "      <td>0.628843</td>\n",
       "      <td>-0.238128</td>\n",
       "      <td>-0.671332</td>\n",
       "      <td>-0.033590</td>\n",
       "      <td>-1.331777</td>\n",
       "      <td>0.705698</td>\n",
       "      <td>1.0</td>\n",
       "      <td>-0.180830</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8972</th>\n",
       "      <td>-4.064005</td>\n",
       "      <td>3.100935</td>\n",
       "      <td>-1.188498</td>\n",
       "      <td>3.264633</td>\n",
       "      <td>-1.903562</td>\n",
       "      <td>0.320351</td>\n",
       "      <td>-0.954940</td>\n",
       "      <td>-3.277535</td>\n",
       "      <td>2.820829</td>\n",
       "      <td>1.015113</td>\n",
       "      <td>...</td>\n",
       "      <td>1.688665</td>\n",
       "      <td>-0.078845</td>\n",
       "      <td>0.193731</td>\n",
       "      <td>0.479496</td>\n",
       "      <td>-0.506603</td>\n",
       "      <td>-0.409863</td>\n",
       "      <td>-3.036271</td>\n",
       "      <td>-0.630605</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.647907</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9035</th>\n",
       "      <td>-2.589617</td>\n",
       "      <td>7.016714</td>\n",
       "      <td>-13.705407</td>\n",
       "      <td>10.343228</td>\n",
       "      <td>-2.954461</td>\n",
       "      <td>-3.055116</td>\n",
       "      <td>-9.301289</td>\n",
       "      <td>3.349573</td>\n",
       "      <td>-5.654212</td>\n",
       "      <td>-11.853867</td>\n",
       "      <td>...</td>\n",
       "      <td>1.887738</td>\n",
       "      <td>0.333998</td>\n",
       "      <td>0.287659</td>\n",
       "      <td>-1.186406</td>\n",
       "      <td>-0.690273</td>\n",
       "      <td>0.631704</td>\n",
       "      <td>1.934221</td>\n",
       "      <td>0.789687</td>\n",
       "      <td>1.0</td>\n",
       "      <td>-0.344001</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9179</th>\n",
       "      <td>-2.880042</td>\n",
       "      <td>5.225442</td>\n",
       "      <td>-11.063330</td>\n",
       "      <td>6.689951</td>\n",
       "      <td>-5.759924</td>\n",
       "      <td>-2.244031</td>\n",
       "      <td>-11.199975</td>\n",
       "      <td>4.014722</td>\n",
       "      <td>-3.429304</td>\n",
       "      <td>-11.561950</td>\n",
       "      <td>...</td>\n",
       "      <td>2.002883</td>\n",
       "      <td>0.351102</td>\n",
       "      <td>0.795255</td>\n",
       "      <td>-0.778379</td>\n",
       "      <td>-1.646815</td>\n",
       "      <td>0.487539</td>\n",
       "      <td>1.427713</td>\n",
       "      <td>0.583172</td>\n",
       "      <td>1.0</td>\n",
       "      <td>-0.344001</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9252</th>\n",
       "      <td>-5.454362</td>\n",
       "      <td>8.287421</td>\n",
       "      <td>-12.752811</td>\n",
       "      <td>8.594342</td>\n",
       "      <td>-3.106002</td>\n",
       "      <td>-3.179949</td>\n",
       "      <td>-9.252794</td>\n",
       "      <td>4.245062</td>\n",
       "      <td>-6.329801</td>\n",
       "      <td>-13.136698</td>\n",
       "      <td>...</td>\n",
       "      <td>1.846165</td>\n",
       "      <td>-0.267172</td>\n",
       "      <td>-0.310804</td>\n",
       "      <td>-1.201685</td>\n",
       "      <td>1.352176</td>\n",
       "      <td>0.608425</td>\n",
       "      <td>1.574715</td>\n",
       "      <td>0.808725</td>\n",
       "      <td>1.0</td>\n",
       "      <td>-0.344001</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9487</th>\n",
       "      <td>-4.153014</td>\n",
       "      <td>8.204797</td>\n",
       "      <td>-15.031714</td>\n",
       "      <td>10.330100</td>\n",
       "      <td>-3.994426</td>\n",
       "      <td>-3.250013</td>\n",
       "      <td>-10.415698</td>\n",
       "      <td>4.620804</td>\n",
       "      <td>-5.711248</td>\n",
       "      <td>-11.797181</td>\n",
       "      <td>...</td>\n",
       "      <td>1.976988</td>\n",
       "      <td>0.256510</td>\n",
       "      <td>0.485908</td>\n",
       "      <td>-1.198821</td>\n",
       "      <td>-0.526567</td>\n",
       "      <td>0.634874</td>\n",
       "      <td>1.627209</td>\n",
       "      <td>0.723235</td>\n",
       "      <td>1.0</td>\n",
       "      <td>-0.344001</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9509</th>\n",
       "      <td>-4.710529</td>\n",
       "      <td>8.636214</td>\n",
       "      <td>-15.496222</td>\n",
       "      <td>10.313349</td>\n",
       "      <td>-4.351341</td>\n",
       "      <td>-3.322689</td>\n",
       "      <td>-10.788373</td>\n",
       "      <td>5.060381</td>\n",
       "      <td>-5.689311</td>\n",
       "      <td>-11.712187</td>\n",
       "      <td>...</td>\n",
       "      <td>1.990545</td>\n",
       "      <td>0.223785</td>\n",
       "      <td>0.554408</td>\n",
       "      <td>-1.204042</td>\n",
       "      <td>-0.450685</td>\n",
       "      <td>0.641836</td>\n",
       "      <td>1.605958</td>\n",
       "      <td>0.721644</td>\n",
       "      <td>1.0</td>\n",
       "      <td>-0.344001</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10204</th>\n",
       "      <td>-4.641893</td>\n",
       "      <td>2.902086</td>\n",
       "      <td>-1.572939</td>\n",
       "      <td>2.507299</td>\n",
       "      <td>-0.871783</td>\n",
       "      <td>-1.040903</td>\n",
       "      <td>-1.593901</td>\n",
       "      <td>-3.254905</td>\n",
       "      <td>1.908963</td>\n",
       "      <td>1.077418</td>\n",
       "      <td>...</td>\n",
       "      <td>1.963597</td>\n",
       "      <td>-0.217414</td>\n",
       "      <td>-0.549340</td>\n",
       "      <td>0.645545</td>\n",
       "      <td>-0.354558</td>\n",
       "      <td>-0.611764</td>\n",
       "      <td>-3.908080</td>\n",
       "      <td>-0.671248</td>\n",
       "      <td>1.0</td>\n",
       "      <td>-0.286316</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10484</th>\n",
       "      <td>1.088375</td>\n",
       "      <td>0.898474</td>\n",
       "      <td>0.394684</td>\n",
       "      <td>3.170258</td>\n",
       "      <td>0.175739</td>\n",
       "      <td>-0.221981</td>\n",
       "      <td>-0.022989</td>\n",
       "      <td>-0.010874</td>\n",
       "      <td>0.860044</td>\n",
       "      <td>-0.592473</td>\n",
       "      <td>...</td>\n",
       "      <td>-0.423554</td>\n",
       "      <td>-0.800852</td>\n",
       "      <td>0.077614</td>\n",
       "      <td>0.167608</td>\n",
       "      <td>0.350182</td>\n",
       "      <td>-0.118941</td>\n",
       "      <td>0.012948</td>\n",
       "      <td>0.054254</td>\n",
       "      <td>1.0</td>\n",
       "      <td>-0.328511</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10497</th>\n",
       "      <td>1.189784</td>\n",
       "      <td>0.942289</td>\n",
       "      <td>0.082334</td>\n",
       "      <td>3.024050</td>\n",
       "      <td>0.412406</td>\n",
       "      <td>-0.214415</td>\n",
       "      <td>0.053558</td>\n",
       "      <td>-0.110353</td>\n",
       "      <td>0.883798</td>\n",
       "      <td>-0.554224</td>\n",
       "      <td>...</td>\n",
       "      <td>-0.502636</td>\n",
       "      <td>-1.047398</td>\n",
       "      <td>-0.056752</td>\n",
       "      <td>-0.340688</td>\n",
       "      <td>0.541235</td>\n",
       "      <td>-0.098300</td>\n",
       "      <td>-0.003041</td>\n",
       "      <td>0.049819</td>\n",
       "      <td>1.0</td>\n",
       "      <td>-0.328511</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10498</th>\n",
       "      <td>-0.469327</td>\n",
       "      <td>1.111453</td>\n",
       "      <td>2.041003</td>\n",
       "      <td>1.731595</td>\n",
       "      <td>0.135147</td>\n",
       "      <td>-0.093625</td>\n",
       "      <td>0.266155</td>\n",
       "      <td>0.082988</td>\n",
       "      <td>0.580255</td>\n",
       "      <td>-0.164563</td>\n",
       "      <td>...</td>\n",
       "      <td>0.159387</td>\n",
       "      <td>0.592670</td>\n",
       "      <td>-0.053596</td>\n",
       "      <td>0.320748</td>\n",
       "      <td>-0.369121</td>\n",
       "      <td>-0.136605</td>\n",
       "      <td>-0.100845</td>\n",
       "      <td>0.039347</td>\n",
       "      <td>1.0</td>\n",
       "      <td>-0.327734</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10568</th>\n",
       "      <td>-5.268053</td>\n",
       "      <td>9.067613</td>\n",
       "      <td>-15.960728</td>\n",
       "      <td>10.296603</td>\n",
       "      <td>-4.708241</td>\n",
       "      <td>-3.395375</td>\n",
       "      <td>-11.161057</td>\n",
       "      <td>5.499963</td>\n",
       "      <td>-5.667376</td>\n",
       "      <td>-11.627194</td>\n",
       "      <td>...</td>\n",
       "      <td>2.004110</td>\n",
       "      <td>0.191058</td>\n",
       "      <td>0.622928</td>\n",
       "      <td>-1.209264</td>\n",
       "      <td>-0.374799</td>\n",
       "      <td>0.648798</td>\n",
       "      <td>1.584697</td>\n",
       "      <td>0.720056</td>\n",
       "      <td>1.0</td>\n",
       "      <td>-0.344001</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10630</th>\n",
       "      <td>-5.187878</td>\n",
       "      <td>6.967709</td>\n",
       "      <td>-13.510931</td>\n",
       "      <td>8.617895</td>\n",
       "      <td>-11.214422</td>\n",
       "      <td>0.672248</td>\n",
       "      <td>-9.462533</td>\n",
       "      <td>5.328704</td>\n",
       "      <td>-4.897006</td>\n",
       "      <td>-11.786812</td>\n",
       "      <td>...</td>\n",
       "      <td>2.086083</td>\n",
       "      <td>0.760190</td>\n",
       "      <td>0.716806</td>\n",
       "      <td>-0.646743</td>\n",
       "      <td>-1.617043</td>\n",
       "      <td>0.172347</td>\n",
       "      <td>0.626647</td>\n",
       "      <td>-0.169726</td>\n",
       "      <td>1.0</td>\n",
       "      <td>3.905223</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10690</th>\n",
       "      <td>-12.224021</td>\n",
       "      <td>3.854150</td>\n",
       "      <td>-12.466766</td>\n",
       "      <td>9.648311</td>\n",
       "      <td>-2.726961</td>\n",
       "      <td>-4.445610</td>\n",
       "      <td>-21.922811</td>\n",
       "      <td>0.320792</td>\n",
       "      <td>-4.433162</td>\n",
       "      <td>-11.201400</td>\n",
       "      <td>...</td>\n",
       "      <td>-1.159830</td>\n",
       "      <td>-1.504119</td>\n",
       "      <td>-19.254328</td>\n",
       "      <td>0.544867</td>\n",
       "      <td>-4.781606</td>\n",
       "      <td>-0.007772</td>\n",
       "      <td>3.052358</td>\n",
       "      <td>-0.775036</td>\n",
       "      <td>1.0</td>\n",
       "      <td>6.417637</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10801</th>\n",
       "      <td>-14.474437</td>\n",
       "      <td>6.503185</td>\n",
       "      <td>-17.712632</td>\n",
       "      <td>11.270352</td>\n",
       "      <td>-4.150142</td>\n",
       "      <td>-3.372098</td>\n",
       "      <td>-16.535807</td>\n",
       "      <td>-1.443947</td>\n",
       "      <td>-6.815273</td>\n",
       "      <td>-13.670545</td>\n",
       "      <td>...</td>\n",
       "      <td>-2.475962</td>\n",
       "      <td>0.342391</td>\n",
       "      <td>-3.564508</td>\n",
       "      <td>-0.818140</td>\n",
       "      <td>0.153408</td>\n",
       "      <td>0.755079</td>\n",
       "      <td>2.706566</td>\n",
       "      <td>-0.992916</td>\n",
       "      <td>1.0</td>\n",
       "      <td>-0.344001</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10891</th>\n",
       "      <td>-12.339603</td>\n",
       "      <td>4.488267</td>\n",
       "      <td>-16.587073</td>\n",
       "      <td>10.107274</td>\n",
       "      <td>-10.420199</td>\n",
       "      <td>0.130670</td>\n",
       "      <td>-15.600323</td>\n",
       "      <td>-1.157696</td>\n",
       "      <td>-5.304631</td>\n",
       "      <td>-12.938929</td>\n",
       "      <td>...</td>\n",
       "      <td>-2.089610</td>\n",
       "      <td>1.745315</td>\n",
       "      <td>1.376816</td>\n",
       "      <td>-0.554271</td>\n",
       "      <td>-1.610741</td>\n",
       "      <td>0.153725</td>\n",
       "      <td>1.212477</td>\n",
       "      <td>-1.869290</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.698540</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10897</th>\n",
       "      <td>-15.398845</td>\n",
       "      <td>7.472324</td>\n",
       "      <td>-19.026912</td>\n",
       "      <td>11.165526</td>\n",
       "      <td>-6.893856</td>\n",
       "      <td>-2.120937</td>\n",
       "      <td>-14.913330</td>\n",
       "      <td>-0.721214</td>\n",
       "      <td>-7.175097</td>\n",
       "      <td>-14.166795</td>\n",
       "      <td>...</td>\n",
       "      <td>-2.444884</td>\n",
       "      <td>0.727495</td>\n",
       "      <td>-0.345078</td>\n",
       "      <td>-0.981749</td>\n",
       "      <td>0.995271</td>\n",
       "      <td>0.816762</td>\n",
       "      <td>2.262942</td>\n",
       "      <td>-1.178063</td>\n",
       "      <td>1.0</td>\n",
       "      <td>-0.344001</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11343</th>\n",
       "      <td>-14.179165</td>\n",
       "      <td>7.421370</td>\n",
       "      <td>-21.405836</td>\n",
       "      <td>11.927512</td>\n",
       "      <td>-7.974281</td>\n",
       "      <td>-2.202710</td>\n",
       "      <td>-15.471612</td>\n",
       "      <td>-0.356595</td>\n",
       "      <td>-6.380125</td>\n",
       "      <td>-13.348278</td>\n",
       "      <td>...</td>\n",
       "      <td>-2.366836</td>\n",
       "      <td>1.130955</td>\n",
       "      <td>0.991153</td>\n",
       "      <td>-1.033132</td>\n",
       "      <td>-0.327179</td>\n",
       "      <td>0.634693</td>\n",
       "      <td>2.171905</td>\n",
       "      <td>-1.395288</td>\n",
       "      <td>1.0</td>\n",
       "      <td>-0.344001</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>49 rows × 30 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "              V1        V2         V3         V4         V5        V6  \\\n",
       "541    -2.312227  1.951992  -1.609851   3.997906  -0.522188 -1.426545   \n",
       "623    -3.043541 -3.157307   1.088463   2.288644   1.359805 -1.064823   \n",
       "4920   -2.303350  1.759247  -0.359745   2.330243  -0.821628 -0.075788   \n",
       "6108   -4.397974  1.358367  -2.592844   2.679787  -1.128131 -1.706536   \n",
       "6329    1.234235  3.019740  -4.304597   4.732795   3.624201 -1.357746   \n",
       "6331    0.008430  4.137837  -6.240697   6.675732   0.768307 -3.353060   \n",
       "6334    0.026779  4.132464  -6.560600   6.348557   1.329666 -2.513479   \n",
       "6336    0.329594  3.712889  -5.775935   6.078266   1.667359 -2.420168   \n",
       "6338    0.316459  3.809076  -5.615159   6.047445   1.554026 -2.651353   \n",
       "6427    0.725646  2.300894  -5.329976   4.007683  -1.730411 -1.732193   \n",
       "6446    0.702710  2.426433  -5.234513   4.416661  -2.170806 -2.667554   \n",
       "6472    1.023874  2.001485  -4.769752   3.819195  -1.271754 -1.734662   \n",
       "6529   -1.585505  3.261585  -4.137422   2.357096  -1.405043 -1.879437   \n",
       "6609   -1.783229  3.402794  -3.822742   2.625368  -1.976415 -2.731689   \n",
       "6641    0.857321  4.093912  -7.423894   7.380245   0.973366 -2.730762   \n",
       "6717   -1.813280  4.917851  -5.926130   5.701500   1.204393 -3.035138   \n",
       "6719   -0.251471  4.313523  -6.891438   6.796797   0.616297 -2.966327   \n",
       "6734    0.314597  2.660670  -5.920037   4.522500  -2.315027 -2.278352   \n",
       "6774    0.447396  2.481954  -5.660814   4.455923  -2.443780 -2.185040   \n",
       "6820   -2.169929  3.639654  -4.508498   2.730668  -2.122693 -2.341017   \n",
       "6870   -1.863756  3.442644  -4.468260   2.805336  -2.118412 -2.332285   \n",
       "6882   -4.617217  1.695694  -3.114372   4.328199  -1.873257 -0.989908   \n",
       "6899   -2.661802  5.856393  -7.653616   6.379742  -0.060712 -3.131550   \n",
       "6903   -2.535852  5.793644  -7.618463   6.395830  -0.065210 -3.136372   \n",
       "6971   -3.499108  0.258555  -4.489558   4.853894  -6.974522  3.628382   \n",
       "8296   -2.125490  5.973556 -11.034727   9.007147  -1.689451 -2.854415   \n",
       "8312    0.378275  3.914797  -5.726872   6.094141   1.698875 -2.807314   \n",
       "8335   -1.426623  4.141986  -9.804103   6.666273  -4.749527 -2.073129   \n",
       "8615   -3.891192  7.098916 -11.426467   8.607557  -2.065706 -2.985288   \n",
       "8617    0.919137  4.199633  -7.535607   7.426940   1.118215 -2.886722   \n",
       "8842   -4.696795  2.693867  -4.475133   5.467685  -1.556758 -1.549420   \n",
       "8845   -4.727713  3.044469  -5.598354   5.928191  -2.190770 -1.529323   \n",
       "8972   -4.064005  3.100935  -1.188498   3.264633  -1.903562  0.320351   \n",
       "9035   -2.589617  7.016714 -13.705407  10.343228  -2.954461 -3.055116   \n",
       "9179   -2.880042  5.225442 -11.063330   6.689951  -5.759924 -2.244031   \n",
       "9252   -5.454362  8.287421 -12.752811   8.594342  -3.106002 -3.179949   \n",
       "9487   -4.153014  8.204797 -15.031714  10.330100  -3.994426 -3.250013   \n",
       "9509   -4.710529  8.636214 -15.496222  10.313349  -4.351341 -3.322689   \n",
       "10204  -4.641893  2.902086  -1.572939   2.507299  -0.871783 -1.040903   \n",
       "10484   1.088375  0.898474   0.394684   3.170258   0.175739 -0.221981   \n",
       "10497   1.189784  0.942289   0.082334   3.024050   0.412406 -0.214415   \n",
       "10498  -0.469327  1.111453   2.041003   1.731595   0.135147 -0.093625   \n",
       "10568  -5.268053  9.067613 -15.960728  10.296603  -4.708241 -3.395375   \n",
       "10630  -5.187878  6.967709 -13.510931   8.617895 -11.214422  0.672248   \n",
       "10690 -12.224021  3.854150 -12.466766   9.648311  -2.726961 -4.445610   \n",
       "10801 -14.474437  6.503185 -17.712632  11.270352  -4.150142 -3.372098   \n",
       "10891 -12.339603  4.488267 -16.587073  10.107274 -10.420199  0.130670   \n",
       "10897 -15.398845  7.472324 -19.026912  11.165526  -6.893856 -2.120937   \n",
       "11343 -14.179165  7.421370 -21.405836  11.927512  -7.974281 -2.202710   \n",
       "\n",
       "              V7        V8        V9        V10  ...       V21       V22  \\\n",
       "541    -2.537387  1.391657 -2.770089  -2.772272  ...  0.517232 -0.035049   \n",
       "623     0.325574 -0.067794 -0.270953  -0.838587  ...  0.661696  0.435477   \n",
       "4920    0.562320 -0.399147 -0.238253  -1.525412  ... -0.294166 -0.932391   \n",
       "6108   -3.496197 -0.248778 -0.247768  -4.801637  ...  0.573574  0.176968   \n",
       "6329    1.713445 -0.496358 -1.282858  -2.447469  ... -0.379068 -0.704181   \n",
       "6331   -1.631735  0.154612 -2.795892  -6.187891  ...  0.364514 -0.608057   \n",
       "6334   -1.689102  0.303253 -3.139409  -6.045468  ...  0.370509 -0.576752   \n",
       "6336   -0.812891  0.133080 -2.214311  -5.134454  ...  0.156617 -0.652450   \n",
       "6338   -0.746579  0.055586 -2.678679  -4.959493  ...  0.208828 -0.511747   \n",
       "6427   -3.968593  1.063728 -0.486097  -4.624985  ...  0.589669  0.109541   \n",
       "6446   -3.878088  0.911337 -0.166199  -5.009249  ...  0.551180 -0.009802   \n",
       "6472   -3.059245  0.889805  0.415382  -3.955812  ...  0.343283 -0.054196   \n",
       "6529   -3.513687  1.515607 -1.207166  -6.234561  ...  0.501543 -0.546869   \n",
       "6609   -3.430559  1.413204 -0.776941  -6.199882  ...  0.454032 -0.577526   \n",
       "6641   -1.496497  0.543015 -2.351190  -3.944238  ...  0.375026  0.145400   \n",
       "6717   -1.713402  0.561257 -3.796354  -7.454841  ...  0.615642 -0.406427   \n",
       "6719   -2.436653  0.489328 -3.371639  -6.810813  ...  0.536892 -0.546126   \n",
       "6734   -4.684054  1.202270 -0.694696  -5.526278  ...  0.743314  0.064038   \n",
       "6774   -4.716143  1.249803 -0.718326  -5.390330  ...  0.756053  0.140168   \n",
       "6820   -4.235253  1.703538 -1.305279  -6.716720  ...  0.645103 -0.503529   \n",
       "6870   -4.261237  1.701682 -1.439396  -6.999907  ...  0.667927 -0.516242   \n",
       "6882   -4.577265  0.472216  0.472017  -5.576023  ...  0.481830  0.146023   \n",
       "6899   -3.103570  1.778492 -3.831154  -7.191604  ...  0.734775 -0.435901   \n",
       "6903   -3.104557  1.823233 -3.878658  -7.297803  ...  0.716720 -0.448060   \n",
       "6971    5.431271 -1.946734 -0.775680  -1.987773  ... -1.052368  0.204817   \n",
       "8296   -7.810441  2.030870 -5.902828 -12.840934  ...  1.646518 -0.278485   \n",
       "8312   -0.591118 -0.123496 -2.530713  -5.153095  ...  0.149896 -0.601967   \n",
       "8335  -10.089931  2.791345 -3.249516 -11.420451  ...  1.865679  0.407809   \n",
       "8615   -8.138589  2.973928 -6.272790 -13.193415  ...  1.757085 -0.189709   \n",
       "8617   -1.341036  0.363933 -2.203224  -4.137840  ...  0.316094  0.055179   \n",
       "8842   -4.104215  0.553934 -1.498468  -4.594952  ...  0.573898 -0.080163   \n",
       "8845   -4.487422  0.916392 -1.307010  -4.138891  ...  0.650988  0.254983   \n",
       "8972   -0.954940 -3.277535  2.820829   1.015113  ...  1.688665 -0.078845   \n",
       "9035   -9.301289  3.349573 -5.654212 -11.853867  ...  1.887738  0.333998   \n",
       "9179  -11.199975  4.014722 -3.429304 -11.561950  ...  2.002883  0.351102   \n",
       "9252   -9.252794  4.245062 -6.329801 -13.136698  ...  1.846165 -0.267172   \n",
       "9487  -10.415698  4.620804 -5.711248 -11.797181  ...  1.976988  0.256510   \n",
       "9509  -10.788373  5.060381 -5.689311 -11.712187  ...  1.990545  0.223785   \n",
       "10204  -1.593901 -3.254905  1.908963   1.077418  ...  1.963597 -0.217414   \n",
       "10484  -0.022989 -0.010874  0.860044  -0.592473  ... -0.423554 -0.800852   \n",
       "10497   0.053558 -0.110353  0.883798  -0.554224  ... -0.502636 -1.047398   \n",
       "10498   0.266155  0.082988  0.580255  -0.164563  ...  0.159387  0.592670   \n",
       "10568 -11.161057  5.499963 -5.667376 -11.627194  ...  2.004110  0.191058   \n",
       "10630  -9.462533  5.328704 -4.897006 -11.786812  ...  2.086083  0.760190   \n",
       "10690 -21.922811  0.320792 -4.433162 -11.201400  ... -1.159830 -1.504119   \n",
       "10801 -16.535807 -1.443947 -6.815273 -13.670545  ... -2.475962  0.342391   \n",
       "10891 -15.600323 -1.157696 -5.304631 -12.938929  ... -2.089610  1.745315   \n",
       "10897 -14.913330 -0.721214 -7.175097 -14.166795  ... -2.444884  0.727495   \n",
       "11343 -15.471612 -0.356595 -6.380125 -13.348278  ... -2.366836  1.130955   \n",
       "\n",
       "             V23       V24       V25       V26       V27       V28  Class  \\\n",
       "541    -0.465211  0.320198  0.044519  0.177840  0.261145 -0.143276    1.0   \n",
       "623     1.375966 -0.293803  0.279798 -0.145362 -0.252773  0.035764    1.0   \n",
       "4920    0.172726 -0.087330 -0.156114 -0.542628  0.039566 -0.153029    1.0   \n",
       "6108   -0.436207 -0.053502  0.252405 -0.657488 -0.827136  0.849573    1.0   \n",
       "6329   -0.656805 -1.632653  1.488901  0.566797 -0.010016  0.146793    1.0   \n",
       "6331   -0.539528  0.128940  1.488481  0.507963  0.735822  0.513574    1.0   \n",
       "6334   -0.669605 -0.759908  1.605056  0.540675  0.737040  0.496699    1.0   \n",
       "6336   -0.551572 -0.716522  1.415717  0.555265  0.530507  0.404474    1.0   \n",
       "6338   -0.583813 -0.219845  1.474753  0.491192  0.518868  0.402528    1.0   \n",
       "6427    0.601045 -0.364700 -1.843078  0.351909  0.594550  0.099372    1.0   \n",
       "6446    0.721698  0.473246 -1.959304  0.319476  0.600485  0.129305    1.0   \n",
       "6472    0.709654 -0.372216 -2.032068  0.366778  0.395171  0.020206    1.0   \n",
       "6529   -0.076584 -0.425550  0.123644  0.321985  0.264028  0.132817    1.0   \n",
       "6609    0.045967  0.461700  0.044146  0.305704  0.530981  0.243746    1.0   \n",
       "6641    0.240603 -0.234649 -1.004881  0.435832  0.618324  0.148469    1.0   \n",
       "6717   -0.737018 -0.279642  1.106766  0.323885  0.894767  0.569519    1.0   \n",
       "6719   -0.605240 -0.263743  1.539916  0.523574  0.891025  0.572741    1.0   \n",
       "6734    0.677842  0.083008 -1.911034  0.322188  0.620867  0.185030    1.0   \n",
       "6774    0.665411  0.131464 -1.908217  0.334808  0.748534  0.175414    1.0   \n",
       "6820   -0.000523  0.071696  0.092007  0.308498  0.552591  0.298954    1.0   \n",
       "6870   -0.012218  0.070614  0.058504  0.304883  0.418012  0.208858    1.0   \n",
       "6882    0.117039 -0.217565 -0.138776 -0.424453 -1.002041  0.890780    1.0   \n",
       "6899   -0.384766 -0.286016  1.007934  0.413196  0.280284  0.303937    1.0   \n",
       "6903   -0.402407 -0.288835  1.011752  0.425965  0.413140  0.308205    1.0   \n",
       "6971   -2.119007  0.170279 -0.393844  0.296367  1.985913 -0.900452    1.0   \n",
       "8296   -0.664841 -1.164555  1.701796  0.690806  2.119749  1.108933    1.0   \n",
       "8312   -0.613724 -0.403114  1.568445  0.521884  0.527938  0.411910    1.0   \n",
       "8335    0.605809 -0.769348 -1.746337  0.502040  1.977258  0.711607    1.0   \n",
       "8615   -0.508629 -1.189308  1.188536  0.605242  1.881529  0.875260    1.0   \n",
       "8617    0.210692 -0.417918 -0.911188  0.466524  0.627393  0.157851    1.0   \n",
       "8842    0.318408 -0.245862  0.338238  0.032271 -1.508458  0.608075    1.0   \n",
       "8845    0.628843 -0.238128 -0.671332 -0.033590 -1.331777  0.705698    1.0   \n",
       "8972    0.193731  0.479496 -0.506603 -0.409863 -3.036271 -0.630605    1.0   \n",
       "9035    0.287659 -1.186406 -0.690273  0.631704  1.934221  0.789687    1.0   \n",
       "9179    0.795255 -0.778379 -1.646815  0.487539  1.427713  0.583172    1.0   \n",
       "9252   -0.310804 -1.201685  1.352176  0.608425  1.574715  0.808725    1.0   \n",
       "9487    0.485908 -1.198821 -0.526567  0.634874  1.627209  0.723235    1.0   \n",
       "9509    0.554408 -1.204042 -0.450685  0.641836  1.605958  0.721644    1.0   \n",
       "10204  -0.549340  0.645545 -0.354558 -0.611764 -3.908080 -0.671248    1.0   \n",
       "10484   0.077614  0.167608  0.350182 -0.118941  0.012948  0.054254    1.0   \n",
       "10497  -0.056752 -0.340688  0.541235 -0.098300 -0.003041  0.049819    1.0   \n",
       "10498  -0.053596  0.320748 -0.369121 -0.136605 -0.100845  0.039347    1.0   \n",
       "10568   0.622928 -1.209264 -0.374799  0.648798  1.584697  0.720056    1.0   \n",
       "10630   0.716806 -0.646743 -1.617043  0.172347  0.626647 -0.169726    1.0   \n",
       "10690 -19.254328  0.544867 -4.781606 -0.007772  3.052358 -0.775036    1.0   \n",
       "10801  -3.564508 -0.818140  0.153408  0.755079  2.706566 -0.992916    1.0   \n",
       "10891   1.376816 -0.554271 -1.610741  0.153725  1.212477 -1.869290    1.0   \n",
       "10897  -0.345078 -0.981749  0.995271  0.816762  2.262942 -1.178063    1.0   \n",
       "11343   0.991153 -1.033132 -0.327179  0.634693  2.171905 -1.395288    1.0   \n",
       "\n",
       "       NormalizedAmount  \n",
       "541           -0.349553  \n",
       "623            2.587417  \n",
       "4920           0.982521  \n",
       "6108          -0.021989  \n",
       "6329          -0.344001  \n",
       "6331          -0.344001  \n",
       "6334          -0.344001  \n",
       "6336          -0.344001  \n",
       "6338          -0.344001  \n",
       "6427          -0.344001  \n",
       "6446          -0.344001  \n",
       "6472          -0.344001  \n",
       "6529          -0.344001  \n",
       "6609          -0.344001  \n",
       "6641          -0.344001  \n",
       "6717          -0.344001  \n",
       "6719          -0.344001  \n",
       "6734          -0.344001  \n",
       "6774          -0.344001  \n",
       "6820          -0.344001  \n",
       "6870          -0.344001  \n",
       "6882          -0.343446  \n",
       "6899          -0.344001  \n",
       "6903          -0.344001  \n",
       "6971           9.697661  \n",
       "8296          -0.344001  \n",
       "8312          -0.344001  \n",
       "8335          -0.344001  \n",
       "8615          -0.344001  \n",
       "8617          -0.344001  \n",
       "8842          -0.349553  \n",
       "8845          -0.180830  \n",
       "8972           0.647907  \n",
       "9035          -0.344001  \n",
       "9179          -0.344001  \n",
       "9252          -0.344001  \n",
       "9487          -0.344001  \n",
       "9509          -0.344001  \n",
       "10204         -0.286316  \n",
       "10484         -0.328511  \n",
       "10497         -0.328511  \n",
       "10498         -0.327734  \n",
       "10568         -0.344001  \n",
       "10630          3.905223  \n",
       "10690          6.417637  \n",
       "10801         -0.344001  \n",
       "10891          0.698540  \n",
       "10897         -0.344001  \n",
       "11343         -0.344001  \n",
       "\n",
       "[49 rows x 30 columns]"
      ]
     },
     "execution_count": 19,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df[df['Class'] == 1.0]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "id": "88acccab",
   "metadata": {},
   "outputs": [],
   "source": [
    "# Creating Training and Testing set\n",
    "x = df.drop(columns = ['Class'])\n",
    "y = df[['Class']]\n",
    "from sklearn.model_selection import train_test_split\n",
    "x_train, x_test, y_train, y_test = train_test_split(x, y, test_size = 0.3, random_state = 0)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "id": "a28f337e",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
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       "    .dataframe tbody tr th {\n",
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       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Class</th>\n",
       "    </tr>\n",
       "  </thead>\n",
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       "      <th>0</th>\n",
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       "   Class\n",
       "0    0.0\n",
       "1    0.0\n",
       "2    0.0\n",
       "3    0.0\n",
       "4    0.0"
      ]
     },
     "execution_count": 21,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "y.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "id": "bdc61237",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "13"
      ]
     },
     "execution_count": 22,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "len(y_test[y_test['Class'] == 1.0])"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "16deab7d",
   "metadata": {},
   "source": [
    "# Logistic Regression Model"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "id": "331ee4d2",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Classification Report: \n",
      "               precision    recall  f1-score   support\n",
      "\n",
      "         0.0       1.00      1.00      1.00      3473\n",
      "         1.0       0.92      0.85      0.88        13\n",
      "\n",
      "    accuracy                           1.00      3486\n",
      "   macro avg       0.96      0.92      0.94      3486\n",
      "weighted avg       1.00      1.00      1.00      3486\n",
      "\n",
      "Confusion Matrix: \n",
      " [[3472    1]\n",
      " [   2   11]]\n",
      "Accuracy Score: 0.9991394148020654\n"
     ]
    }
   ],
   "source": [
    "from sklearn.linear_model import LogisticRegression\n",
    "from sklearn.metrics import accuracy_score, confusion_matrix, classification_report\n",
    "lr = LogisticRegression()\n",
    "lr.fit(x_train, y_train)\n",
    "y_pred_lr = lr.predict(x_test)\n",
    "print(\"Classification Report: \\n\", classification_report(y_test, y_pred_lr))\n",
    "print(\"Confusion Matrix: \\n\", confusion_matrix(y_test, y_pred_lr))\n",
    "print(\"Accuracy Score:\", accuracy_score(y_test, y_pred_lr))"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "c0955be8",
   "metadata": {},
   "source": [
    "# Decision Tree"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "id": "cd30853f",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Classification Report: \n",
      "               precision    recall  f1-score   support\n",
      "\n",
      "         0.0       1.00      1.00      1.00      3473\n",
      "         1.0       0.83      0.77      0.80        13\n",
      "\n",
      "    accuracy                           1.00      3486\n",
      "   macro avg       0.92      0.88      0.90      3486\n",
      "weighted avg       1.00      1.00      1.00      3486\n",
      "\n",
      "Confusion Matrix: \n",
      " [[3471    2]\n",
      " [   3   10]]\n",
      "Accuracy Score: 0.9985656913367756\n"
     ]
    }
   ],
   "source": [
    "from sklearn.tree import DecisionTreeClassifier\n",
    "dt_clf = DecisionTreeClassifier()\n",
    "dt_clf.fit(x_train, y_train)\n",
    "y_pred_dt = dt_clf.predict(x_test)\n",
    "print(\"Classification Report: \\n\", classification_report(y_test, y_pred_dt))\n",
    "print(\"Confusion Matrix: \\n\", confusion_matrix(y_test, y_pred_dt))\n",
    "print(\"Accuracy Score:\", accuracy_score(y_test, y_pred_dt))"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "0399ec1b",
   "metadata": {},
   "source": [
    "# Random Forest"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "id": "10d7ec7e",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Classification Report: \n",
      "               precision    recall  f1-score   support\n",
      "\n",
      "         0.0       1.00      1.00      1.00      3473\n",
      "         1.0       1.00      0.85      0.92        13\n",
      "\n",
      "    accuracy                           1.00      3486\n",
      "   macro avg       1.00      0.92      0.96      3486\n",
      "weighted avg       1.00      1.00      1.00      3486\n",
      "\n",
      "Confusion Matrix: \n",
      " [[3473    0]\n",
      " [   2   11]]\n",
      "Accuracy Score: 0.9994262765347103\n"
     ]
    }
   ],
   "source": [
    "from sklearn.ensemble import RandomForestClassifier\n",
    "rf_clf = RandomForestClassifier(n_estimators = 1000)\n",
    "rf_clf.fit(x_train, y_train)\n",
    "y_pred_rf = rf_clf.predict(x_test)\n",
    "print(\"Classification Report: \\n\", classification_report(y_test, y_pred_rf))\n",
    "print(\"Confusion Matrix: \\n\", confusion_matrix(y_test, y_pred_rf))\n",
    "print(\"Accuracy Score:\", accuracy_score(y_test, y_pred_rf))"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "aff82c56",
   "metadata": {},
   "source": [
    "### Observation and result:\n",
    "Below are the observations from above models:\n",
    "\n",
    "Logistic Regression:\n",
    "* Accuracy Score: 0.9991394148020654\n",
    "* Confusion Matrix: \n",
    " [[3472    1]\n",
    " [   2   11]] \n",
    " \n",
    "Decision Tree:\n",
    "* Accuracy Score: 0.9985656913367756\n",
    "* Confusion Matrix: \n",
    " [[3471    2]\n",
    " [   3    8]]\n",
    " \n",
    "Random Forest:\n",
    "* Accuracy Score: 0.9994262765347103\n",
    "* Confusion Matrix: \n",
    " [[3473    0]\n",
    " [   2   11]]\n",
    " \n",
    "##### By looking at the confusion matrix and Accuracy score of various models, we can conclude that Random Forest model is providing slightly better accuracy compared to Logistic Regression and Decision Tree model. "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "ab0439ac",
   "metadata": {},
   "outputs": [],
   "source": []
  }
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