21_Isolation Forest - Detección de transacciones bancarias fraudulentas.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "<a href=\"https://colab.research.google.com/drive/1ntpaaAzapoW1IGTcqW8Hd3DZJpgfh1Pb\">Abre este Jupyter en Google Colab</a>"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Caso Práctico: Isolation Forest"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Conjunto de datos: Detección de transacciones bancarias fraudulentas"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Descripción\n",
    "The datasets contains transactions made by credit cards in September 2013 by european cardholders. \n",
    "This dataset presents transactions that occurred in two days, where we have 492 frauds out of 284,807 transactions. The dataset is highly unbalanced, the positive class (frauds) account for 0.172% of all transactions.\n",
    "\n",
    "It contains only numerical input variables which are the result of a PCA transformation. Unfortunately, due to confidentiality issues, we cannot provide the original features and more background information about the data. Features V1, V2, … V28 are the principal components obtained with PCA, the only features which have not been transformed with PCA are 'Time' and 'Amount'. Feature 'Time' contains the seconds elapsed between each transaction and the first transaction in the dataset. The feature 'Amount' is the transaction Amount, this feature can be used for example-dependant cost-senstive learning. Feature 'Class' is the response variable and it takes value 1 in case of fraud and 0 otherwise.\n",
    "\n",
    "### Descarga de los ficheros de datos\n",
    "https://www.kaggle.com/mlg-ulb/creditcardfraud#creditcard.csv\n",
    "\n",
    "### Referencias adicionales sobre el conjunto de datos\n",
    "_The dataset has been collected and analysed during a research collaboration of Worldline and the Machine Learning Group (http://mlg.ulb.ac.be) of ULB (Université Libre de Bruxelles) on big data mining and fraud detection.\n",
    "More details on current and past projects on related topics are available on https://www.researchgate.net/project/Fraud-detection-5 and the page of the DefeatFraud project._"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Imports"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "%matplotlib inline\n",
    "import matplotlib.pyplot as plt\n",
    "import pandas as pd\n",
    "import seaborn as sns\n",
    "import matplotlib.gridspec as gridspec\n",
    "from collections import Counter\n",
    "from sklearn import metrics\n",
    "import numpy as np\n",
    "from matplotlib.colors import LogNorm\n",
    "from sklearn.metrics import f1_score"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "import warnings\n",
    "# Ignoramos algunos warnings que se producen por invocar el modelo sin el nombre de las características\n",
    "warnings.filterwarnings('ignore', category=UserWarning, message='.*X does not have valid feature names.*')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 1. Lectura del conjunto de datos"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [],
   "source": [
    "df = pd.read_csv(\"datasets/creditcard.csv\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 2. Visualización del conjunto de datos"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "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",
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       "      <td>-1.514654</td>\n",
       "      <td>...</td>\n",
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       "      <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",
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       "      <td>0.377436</td>\n",
       "      <td>-1.387024</td>\n",
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       "      <td>0.062723</td>\n",
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       "      <td>0.034507</td>\n",
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       "      <td>-0.384157</td>\n",
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       "      <td>93.20</td>\n",
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       "      <td>-0.246914</td>\n",
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       "      <td>3.68</td>\n",
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       "   Time        V1        V2        V3        V4        V5        V6        V7  \\\n",
       "0   0.0 -1.359807 -0.072781  2.536347  1.378155 -0.338321  0.462388  0.239599   \n",
       "1   0.0  1.191857  0.266151  0.166480  0.448154  0.060018 -0.082361 -0.078803   \n",
       "2   1.0 -1.358354 -1.340163  1.773209  0.379780 -0.503198  1.800499  0.791461   \n",
       "3   1.0 -0.966272 -0.185226  1.792993 -0.863291 -0.010309  1.247203  0.237609   \n",
       "4   2.0 -1.158233  0.877737  1.548718  0.403034 -0.407193  0.095921  0.592941   \n",
       "5   2.0 -0.425966  0.960523  1.141109 -0.168252  0.420987 -0.029728  0.476201   \n",
       "6   4.0  1.229658  0.141004  0.045371  1.202613  0.191881  0.272708 -0.005159   \n",
       "7   7.0 -0.644269  1.417964  1.074380 -0.492199  0.948934  0.428118  1.120631   \n",
       "8   7.0 -0.894286  0.286157 -0.113192 -0.271526  2.669599  3.721818  0.370145   \n",
       "9   9.0 -0.338262  1.119593  1.044367 -0.222187  0.499361 -0.246761  0.651583   \n",
       "\n",
       "         V8        V9  ...       V21       V22       V23       V24       V25  \\\n",
       "0  0.098698  0.363787  ... -0.018307  0.277838 -0.110474  0.066928  0.128539   \n",
       "1  0.085102 -0.255425  ... -0.225775 -0.638672  0.101288 -0.339846  0.167170   \n",
       "2  0.247676 -1.514654  ...  0.247998  0.771679  0.909412 -0.689281 -0.327642   \n",
       "3  0.377436 -1.387024  ... -0.108300  0.005274 -0.190321 -1.175575  0.647376   \n",
       "4 -0.270533  0.817739  ... -0.009431  0.798278 -0.137458  0.141267 -0.206010   \n",
       "5  0.260314 -0.568671  ... -0.208254 -0.559825 -0.026398 -0.371427 -0.232794   \n",
       "6  0.081213  0.464960  ... -0.167716 -0.270710 -0.154104 -0.780055  0.750137   \n",
       "7 -3.807864  0.615375  ...  1.943465 -1.015455  0.057504 -0.649709 -0.415267   \n",
       "8  0.851084 -0.392048  ... -0.073425 -0.268092 -0.204233  1.011592  0.373205   \n",
       "9  0.069539 -0.736727  ... -0.246914 -0.633753 -0.120794 -0.385050 -0.069733   \n",
       "\n",
       "        V26       V27       V28  Amount  Class  \n",
       "0 -0.189115  0.133558 -0.021053  149.62      0  \n",
       "1  0.125895 -0.008983  0.014724    2.69      0  \n",
       "2 -0.139097 -0.055353 -0.059752  378.66      0  \n",
       "3 -0.221929  0.062723  0.061458  123.50      0  \n",
       "4  0.502292  0.219422  0.215153   69.99      0  \n",
       "5  0.105915  0.253844  0.081080    3.67      0  \n",
       "6 -0.257237  0.034507  0.005168    4.99      0  \n",
       "7 -0.051634 -1.206921 -1.085339   40.80      0  \n",
       "8 -0.384157  0.011747  0.142404   93.20      0  \n",
       "9  0.094199  0.246219  0.083076    3.68      0  \n",
       "\n",
       "[10 rows x 31 columns]"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.head(10)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Número de características: 31\n",
      "Longitud del conjunto de datos: 284807\n"
     ]
    }
   ],
   "source": [
    "print(\"Número de características:\", len(df.columns))\n",
    "print(\"Longitud del conjunto de datos:\", len(df))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Class\n",
       "0    284315\n",
       "1       492\n",
       "Name: count, dtype: int64"
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# 492 transacciones fraudulentas, 284315 transacciones legitimas\n",
    "# El conjunto de datos se encuntra desequilabrado\n",
    "df[\"Class\"].value_counts()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'pandas.core.frame.DataFrame'>\n",
      "RangeIndex: 284807 entries, 0 to 284806\n",
      "Data columns (total 31 columns):\n",
      " #   Column  Non-Null Count   Dtype  \n",
      "---  ------  --------------   -----  \n",
      " 0   Time    284807 non-null  float64\n",
      " 1   V1      284807 non-null  float64\n",
      " 2   V2      284807 non-null  float64\n",
      " 3   V3      284807 non-null  float64\n",
      " 4   V4      284807 non-null  float64\n",
      " 5   V5      284807 non-null  float64\n",
      " 6   V6      284807 non-null  float64\n",
      " 7   V7      284807 non-null  float64\n",
      " 8   V8      284807 non-null  float64\n",
      " 9   V9      284807 non-null  float64\n",
      " 10  V10     284807 non-null  float64\n",
      " 11  V11     284807 non-null  float64\n",
      " 12  V12     284807 non-null  float64\n",
      " 13  V13     284807 non-null  float64\n",
      " 14  V14     284807 non-null  float64\n",
      " 15  V15     284807 non-null  float64\n",
      " 16  V16     284807 non-null  float64\n",
      " 17  V17     284807 non-null  float64\n",
      " 18  V18     284807 non-null  float64\n",
      " 19  V19     284807 non-null  float64\n",
      " 20  V20     284807 non-null  float64\n",
      " 21  V21     284807 non-null  float64\n",
      " 22  V22     284807 non-null  float64\n",
      " 23  V23     284807 non-null  float64\n",
      " 24  V24     284807 non-null  float64\n",
      " 25  V25     284807 non-null  float64\n",
      " 26  V26     284807 non-null  float64\n",
      " 27  V27     284807 non-null  float64\n",
      " 28  V28     284807 non-null  float64\n",
      " 29  Amount  284807 non-null  float64\n",
      " 30  Class   284807 non-null  int64  \n",
      "dtypes: float64(30), int64(1)\n",
      "memory usage: 67.4 MB\n"
     ]
    }
   ],
   "source": [
    "# Visualizamos los tipos de cada uno de los atributos\n",
    "df.info()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Time      False\n",
       "V1        False\n",
       "V2        False\n",
       "V3        False\n",
       "V4        False\n",
       "V5        False\n",
       "V6        False\n",
       "V7        False\n",
       "V8        False\n",
       "V9        False\n",
       "V10       False\n",
       "V11       False\n",
       "V12       False\n",
       "V13       False\n",
       "V14       False\n",
       "V15       False\n",
       "V16       False\n",
       "V17       False\n",
       "V18       False\n",
       "V19       False\n",
       "V20       False\n",
       "V21       False\n",
       "V22       False\n",
       "V23       False\n",
       "V24       False\n",
       "V25       False\n",
       "V26       False\n",
       "V27       False\n",
       "V28       False\n",
       "Amount    False\n",
       "Class     False\n",
       "dtype: bool"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Comprobamos si alguna columna tiene valores nulos\n",
    "df.isna().any()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "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>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>284807.000000</td>\n",
       "      <td>2.848070e+05</td>\n",
       "      <td>2.848070e+05</td>\n",
       "      <td>2.848070e+05</td>\n",
       "      <td>2.848070e+05</td>\n",
       "      <td>2.848070e+05</td>\n",
       "      <td>2.848070e+05</td>\n",
       "      <td>2.848070e+05</td>\n",
       "      <td>2.848070e+05</td>\n",
       "      <td>2.848070e+05</td>\n",
       "      <td>...</td>\n",
       "      <td>2.848070e+05</td>\n",
       "      <td>2.848070e+05</td>\n",
       "      <td>2.848070e+05</td>\n",
       "      <td>2.848070e+05</td>\n",
       "      <td>2.848070e+05</td>\n",
       "      <td>2.848070e+05</td>\n",
       "      <td>2.848070e+05</td>\n",
       "      <td>2.848070e+05</td>\n",
       "      <td>284807.000000</td>\n",
       "      <td>284807.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>mean</th>\n",
       "      <td>94813.859575</td>\n",
       "      <td>1.168375e-15</td>\n",
       "      <td>3.416908e-16</td>\n",
       "      <td>-1.379537e-15</td>\n",
       "      <td>2.074095e-15</td>\n",
       "      <td>9.604066e-16</td>\n",
       "      <td>1.487313e-15</td>\n",
       "      <td>-5.556467e-16</td>\n",
       "      <td>1.213481e-16</td>\n",
       "      <td>-2.406331e-15</td>\n",
       "      <td>...</td>\n",
       "      <td>1.654067e-16</td>\n",
       "      <td>-3.568593e-16</td>\n",
       "      <td>2.578648e-16</td>\n",
       "      <td>4.473266e-15</td>\n",
       "      <td>5.340915e-16</td>\n",
       "      <td>1.683437e-15</td>\n",
       "      <td>-3.660091e-16</td>\n",
       "      <td>-1.227390e-16</td>\n",
       "      <td>88.349619</td>\n",
       "      <td>0.001727</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>std</th>\n",
       "      <td>47488.145955</td>\n",
       "      <td>1.958696e+00</td>\n",
       "      <td>1.651309e+00</td>\n",
       "      <td>1.516255e+00</td>\n",
       "      <td>1.415869e+00</td>\n",
       "      <td>1.380247e+00</td>\n",
       "      <td>1.332271e+00</td>\n",
       "      <td>1.237094e+00</td>\n",
       "      <td>1.194353e+00</td>\n",
       "      <td>1.098632e+00</td>\n",
       "      <td>...</td>\n",
       "      <td>7.345240e-01</td>\n",
       "      <td>7.257016e-01</td>\n",
       "      <td>6.244603e-01</td>\n",
       "      <td>6.056471e-01</td>\n",
       "      <td>5.212781e-01</td>\n",
       "      <td>4.822270e-01</td>\n",
       "      <td>4.036325e-01</td>\n",
       "      <td>3.300833e-01</td>\n",
       "      <td>250.120109</td>\n",
       "      <td>0.041527</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>min</th>\n",
       "      <td>0.000000</td>\n",
       "      <td>-5.640751e+01</td>\n",
       "      <td>-7.271573e+01</td>\n",
       "      <td>-4.832559e+01</td>\n",
       "      <td>-5.683171e+00</td>\n",
       "      <td>-1.137433e+02</td>\n",
       "      <td>-2.616051e+01</td>\n",
       "      <td>-4.355724e+01</td>\n",
       "      <td>-7.321672e+01</td>\n",
       "      <td>-1.343407e+01</td>\n",
       "      <td>...</td>\n",
       "      <td>-3.483038e+01</td>\n",
       "      <td>-1.093314e+01</td>\n",
       "      <td>-4.480774e+01</td>\n",
       "      <td>-2.836627e+00</td>\n",
       "      <td>-1.029540e+01</td>\n",
       "      <td>-2.604551e+00</td>\n",
       "      <td>-2.256568e+01</td>\n",
       "      <td>-1.543008e+01</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25%</th>\n",
       "      <td>54201.500000</td>\n",
       "      <td>-9.203734e-01</td>\n",
       "      <td>-5.985499e-01</td>\n",
       "      <td>-8.903648e-01</td>\n",
       "      <td>-8.486401e-01</td>\n",
       "      <td>-6.915971e-01</td>\n",
       "      <td>-7.682956e-01</td>\n",
       "      <td>-5.540759e-01</td>\n",
       "      <td>-2.086297e-01</td>\n",
       "      <td>-6.430976e-01</td>\n",
       "      <td>...</td>\n",
       "      <td>-2.283949e-01</td>\n",
       "      <td>-5.423504e-01</td>\n",
       "      <td>-1.618463e-01</td>\n",
       "      <td>-3.545861e-01</td>\n",
       "      <td>-3.171451e-01</td>\n",
       "      <td>-3.269839e-01</td>\n",
       "      <td>-7.083953e-02</td>\n",
       "      <td>-5.295979e-02</td>\n",
       "      <td>5.600000</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>50%</th>\n",
       "      <td>84692.000000</td>\n",
       "      <td>1.810880e-02</td>\n",
       "      <td>6.548556e-02</td>\n",
       "      <td>1.798463e-01</td>\n",
       "      <td>-1.984653e-02</td>\n",
       "      <td>-5.433583e-02</td>\n",
       "      <td>-2.741871e-01</td>\n",
       "      <td>4.010308e-02</td>\n",
       "      <td>2.235804e-02</td>\n",
       "      <td>-5.142873e-02</td>\n",
       "      <td>...</td>\n",
       "      <td>-2.945017e-02</td>\n",
       "      <td>6.781943e-03</td>\n",
       "      <td>-1.119293e-02</td>\n",
       "      <td>4.097606e-02</td>\n",
       "      <td>1.659350e-02</td>\n",
       "      <td>-5.213911e-02</td>\n",
       "      <td>1.342146e-03</td>\n",
       "      <td>1.124383e-02</td>\n",
       "      <td>22.000000</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>75%</th>\n",
       "      <td>139320.500000</td>\n",
       "      <td>1.315642e+00</td>\n",
       "      <td>8.037239e-01</td>\n",
       "      <td>1.027196e+00</td>\n",
       "      <td>7.433413e-01</td>\n",
       "      <td>6.119264e-01</td>\n",
       "      <td>3.985649e-01</td>\n",
       "      <td>5.704361e-01</td>\n",
       "      <td>3.273459e-01</td>\n",
       "      <td>5.971390e-01</td>\n",
       "      <td>...</td>\n",
       "      <td>1.863772e-01</td>\n",
       "      <td>5.285536e-01</td>\n",
       "      <td>1.476421e-01</td>\n",
       "      <td>4.395266e-01</td>\n",
       "      <td>3.507156e-01</td>\n",
       "      <td>2.409522e-01</td>\n",
       "      <td>9.104512e-02</td>\n",
       "      <td>7.827995e-02</td>\n",
       "      <td>77.165000</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>max</th>\n",
       "      <td>172792.000000</td>\n",
       "      <td>2.454930e+00</td>\n",
       "      <td>2.205773e+01</td>\n",
       "      <td>9.382558e+00</td>\n",
       "      <td>1.687534e+01</td>\n",
       "      <td>3.480167e+01</td>\n",
       "      <td>7.330163e+01</td>\n",
       "      <td>1.205895e+02</td>\n",
       "      <td>2.000721e+01</td>\n",
       "      <td>1.559499e+01</td>\n",
       "      <td>...</td>\n",
       "      <td>2.720284e+01</td>\n",
       "      <td>1.050309e+01</td>\n",
       "      <td>2.252841e+01</td>\n",
       "      <td>4.584549e+00</td>\n",
       "      <td>7.519589e+00</td>\n",
       "      <td>3.517346e+00</td>\n",
       "      <td>3.161220e+01</td>\n",
       "      <td>3.384781e+01</td>\n",
       "      <td>25691.160000</td>\n",
       "      <td>1.000000</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>8 rows × 31 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                Time            V1            V2            V3            V4  \\\n",
       "count  284807.000000  2.848070e+05  2.848070e+05  2.848070e+05  2.848070e+05   \n",
       "mean    94813.859575  1.168375e-15  3.416908e-16 -1.379537e-15  2.074095e-15   \n",
       "std     47488.145955  1.958696e+00  1.651309e+00  1.516255e+00  1.415869e+00   \n",
       "min         0.000000 -5.640751e+01 -7.271573e+01 -4.832559e+01 -5.683171e+00   \n",
       "25%     54201.500000 -9.203734e-01 -5.985499e-01 -8.903648e-01 -8.486401e-01   \n",
       "50%     84692.000000  1.810880e-02  6.548556e-02  1.798463e-01 -1.984653e-02   \n",
       "75%    139320.500000  1.315642e+00  8.037239e-01  1.027196e+00  7.433413e-01   \n",
       "max    172792.000000  2.454930e+00  2.205773e+01  9.382558e+00  1.687534e+01   \n",
       "\n",
       "                 V5            V6            V7            V8            V9  \\\n",
       "count  2.848070e+05  2.848070e+05  2.848070e+05  2.848070e+05  2.848070e+05   \n",
       "mean   9.604066e-16  1.487313e-15 -5.556467e-16  1.213481e-16 -2.406331e-15   \n",
       "std    1.380247e+00  1.332271e+00  1.237094e+00  1.194353e+00  1.098632e+00   \n",
       "min   -1.137433e+02 -2.616051e+01 -4.355724e+01 -7.321672e+01 -1.343407e+01   \n",
       "25%   -6.915971e-01 -7.682956e-01 -5.540759e-01 -2.086297e-01 -6.430976e-01   \n",
       "50%   -5.433583e-02 -2.741871e-01  4.010308e-02  2.235804e-02 -5.142873e-02   \n",
       "75%    6.119264e-01  3.985649e-01  5.704361e-01  3.273459e-01  5.971390e-01   \n",
       "max    3.480167e+01  7.330163e+01  1.205895e+02  2.000721e+01  1.559499e+01   \n",
       "\n",
       "       ...           V21           V22           V23           V24  \\\n",
       "count  ...  2.848070e+05  2.848070e+05  2.848070e+05  2.848070e+05   \n",
       "mean   ...  1.654067e-16 -3.568593e-16  2.578648e-16  4.473266e-15   \n",
       "std    ...  7.345240e-01  7.257016e-01  6.244603e-01  6.056471e-01   \n",
       "min    ... -3.483038e+01 -1.093314e+01 -4.480774e+01 -2.836627e+00   \n",
       "25%    ... -2.283949e-01 -5.423504e-01 -1.618463e-01 -3.545861e-01   \n",
       "50%    ... -2.945017e-02  6.781943e-03 -1.119293e-02  4.097606e-02   \n",
       "75%    ...  1.863772e-01  5.285536e-01  1.476421e-01  4.395266e-01   \n",
       "max    ...  2.720284e+01  1.050309e+01  2.252841e+01  4.584549e+00   \n",
       "\n",
       "                V25           V26           V27           V28         Amount  \\\n",
       "count  2.848070e+05  2.848070e+05  2.848070e+05  2.848070e+05  284807.000000   \n",
       "mean   5.340915e-16  1.683437e-15 -3.660091e-16 -1.227390e-16      88.349619   \n",
       "std    5.212781e-01  4.822270e-01  4.036325e-01  3.300833e-01     250.120109   \n",
       "min   -1.029540e+01 -2.604551e+00 -2.256568e+01 -1.543008e+01       0.000000   \n",
       "25%   -3.171451e-01 -3.269839e-01 -7.083953e-02 -5.295979e-02       5.600000   \n",
       "50%    1.659350e-02 -5.213911e-02  1.342146e-03  1.124383e-02      22.000000   \n",
       "75%    3.507156e-01  2.409522e-01  9.104512e-02  7.827995e-02      77.165000   \n",
       "max    7.519589e+00  3.517346e+00  3.161220e+01  3.384781e+01   25691.160000   \n",
       "\n",
       "               Class  \n",
       "count  284807.000000  \n",
       "mean        0.001727  \n",
       "std         0.041527  \n",
       "min         0.000000  \n",
       "25%         0.000000  \n",
       "50%         0.000000  \n",
       "75%         0.000000  \n",
       "max         1.000000  \n",
       "\n",
       "[8 rows x 31 columns]"
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.describe()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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MNtlF9AQAAAAAAEBVQIESFer8e1AGehr52O0WRQMAAAAAAACrUaBEhTp/BmWul9TpDA/KAQAAAAAAqKooUKJCnX8PytPeUrO0NIuiAQAAAAAAgNUoUKJC5c+grJ1bTZJ01ksKzmQGJQAAAAAAQFVFgRIVKv8elHWzPB1tQd5WRQMAAAAAAACrVbM6AFQt+TMoa2UaeXlL2Z5SAAVKwC2cPHNSm49tVjWPamqu5laHAwAAAACoJJhBiQqVfw9Kr8xs1c7Ma/P0kZSZaV1QAMrEmgNrdHfC3Xpu83NWhwIAAAAAqEQoUKJC5c+g9M42qv3nA71Pe0tKSrIuKABlok71OpKk1KxUiyMBAAAAAFQmFChRofLvQelll6r/WaA8RYEScAt1fPMKlGlZaRZHAgAAAACoTChQokI5ZlDmSl45eW2nvSUdOWJdUADKRP4MyrSsNBljLI4GAAAAAFBZUKBEhcq/B6V3ruT5Z4HylI8oUAJuIMA3QJKUY3KUkZ1hbTAAAAAAgEqDAiUqVP4MSq9cyZab18Y9KAH3UNOrpqrZqkmSTp49aXE0AAAAAIDKggIlKlT+PSi9c6Vce17bKS7xBtyCzWaTn7efJOnkGQqUAAAAAIDioUCJCuWYQWmXcv4sUJ72lnT4sHVBASgzjgIlMygBAAAAAMVEgRIV6tx7UJ7Nn0HpI+1dtcq6oACUGT8vZlACAAAAAEqGAiUqVFZupqS8e1Ce/rPttLdU7+xZ64ICUGbyZ1CmnE2xNhAAAAAAQKVBgRIVKjv9lKS8GZSptry2U95SgN0uZfDUX6Cy4xJvAAAAAEBJUaBEhco6cUySlG376x6UKd5/ruQ+lEClx0NyAAAAAAAlRYESFSr7zwJlps0m5ea1/eHz58r9+y2JCUDZ8fOsJYkZlAAAAACA4qNAiQqVlXxEkpTidU6BMn8G5Y4d1gQFoGzs3q3wdz6UJKWcPm5xMAAAAACAyoICJSrUke1bJUnHPOUoUKbmFyh/+MGKkACUlXXrFJicd5/ZI7u3WRwMAAAAAKCyoECJinP4sGrnZkuS9njbZfuzQJmef4n3+vXWxAWgbAwZolo16kqSTp1KtjgYAAAAAEBlQYESFcMY6cknlfPnJy7V869LvDO9pWxJ2rlT2rvXqggBlAHbzXdKktKy0iyOBAAAAABQWVCgRPkzRpo6VfrgAx3wz2uy5xpHgdJ4S+vy+37yiRURAigjaX5BkqRUW6aUmWlxNAAAAACAysBtC5SzZ89WkyZN5Ovrq8jISH3//fdWh1T15OTo63vvldq1k6ZO1b4AaWV43iqPPyTl/NnPJi3wyvvx16efzitoAlVQSfPWokWL1KJFC/n6+qpVq1b68ssvndYbYzRp0iSFhISoevXqio6O1u7du8tzCKoW3ESSdNJX3FcWAAAAAFAsblmg/PDDDxUXF6fJkydr8+bNatOmjWJiYpSczD3RKkxWlhQbq+i5c6UfflC6pIHX2iSb5HFSsp2VZJf0Zy3yUx/ptKTLs7OlNWusixuwSEnz1rp16zRw4EDdd9992rJli2JjYxUbG6sdO3Y4+rz44ov6xz/+oTlz5mj9+vWqWbOmYmJidPbs2XIbR02PWpKkM17Slq/mldv7AAAAAADch80Y95uuFhkZqWuvvVazZs2SJNntdoWFhemRRx7RuHHjLrp9Wlqa/P39lZqaKj8/v/IO1/2cOCE9+KD08cfKsEnxgdX1erOzOtHdSJ6S10+S/qy5ZEdJ8pGqbZBmLZcezJbUuLF0331Sly5SZKTk62vhYIDiudS8UdK8NWDAAKWnp+uLL75wtF133XVq27at5syZI2OMQkNDNWbMGD3++OOSpNTUVAUFBWnevHm66667ymVc//znPzVj40PaGZqrtkk2vRt4v6684wH5NLlC8vOTPNzy38UA/IlzKAAAAJRGNasDKGtZWVnatGmTxo8f72jz8PBQdHS0EhMTC90mMzNTmefcKy01NVVS3kl2ccR9Faftydsv2Ke4dWCji/cry5pyWceVeTxJmceSlNlAOvuodNJbslc7k9chW9IRyZYk2e15TdV2SjnNpZxW0vAIafwZqU7mAdXYP0m2fZJ5R/Js1Uo2D0/ZbDbZZMv77zk/uzub3H+MriouKk49m/YsVt/8fFGa72dp8lZiYqLi4uKc2mJiYrRkyRJJ0r59+5SUlKTo6GjHen9/f0VGRioxMbHIAuWl5sMzZ84o/Tcv1aqZq60BRq1z3pI+fEt1zki1M/P+p+MhT1WzecjT2FTN5H3C//qUn/tT3s82m01q3lzy9PjrdSEK+66UpC+AwoXWDtW82HnF6nspuRAAAABVl9sVKI8fP67c3FwFBQU5tQcFBWnnzp2FbhMfH6+pU6cWaA8LCyuXGKu6rAusO/nn4uzCxV+gvAzQgBJvc+rUKfn7+5dom9LkraSkpEL7JyUlOdbntxXVpzBllg+db4d53nc7V46nZBXblhL2B1CWFmtxifqXJhcCAACg6nK7AmVpjB8/3mkmkt1u14kTJ1SvXj2Xm6GXlpamsLAwHTp0qFJfOsU4XIc7jEGyfhzGGJ06dUqhoaEV/t5l6VLzodW/h0tRmWOXiN9qlTn+sozdXXIhAAAAKpbbFSgDAwPl6empo0ePOrUfPXpUwcHBhW7j4+MjHx8fp7aAgIDyCrFM+Pn5Vbo/gArDOFyHO4xBsnYcpZ0tVJq8FRwcfMH++f89evSoQkJCnPq0bdu2yFjKKh9W5s9TZY5dIn6rVeb4yyp2Zk4CAACgpNzuaQXe3t5q3769EhISHG12u10JCQmKioqyMDIAKFxp8lZUVJRTf0lasWKFo394eLiCg4Od+qSlpWn9+vXkQgAAAACAS3G7GZSSFBcXpyFDhqhDhw7q2LGjZs6cqfT0dA0bNszq0ACgUBfLW4MHD1bDhg0VHx8vSRo1apS6du2q6dOnq0+fPlq4cKE2btyot956S1Lew2FGjx6tZ599Vs2aNVN4eLgmTpyo0NBQxcbGWjVMAAAAAAAKcMsC5YABA3Ts2DFNmjRJSUlJatu2rZYtW1bgYRGVkY+PjyZPnlzgEszKhnG4DncYg1T5x3GxvHXw4EF5ePw16b1Tp06aP3++nn76aU2YMEHNmjXTkiVLFBER4ejzxBNPKD09XQ888IBSUlJ0ww03aNmyZfL19S23cVTm30Nljl0ifqtV5vgrc+wAAABwDzZjjLE6CAAAAAAAAABVk9vdgxIAAAAAAABA5UGBEgAAAAAAAIBlKFACAAAAAAAAsAwFSgAAAAAAAACWoUBZiTz33HPq1KmTatSooYCAgEL7HDx4UH369FGNGjXUoEEDjR07Vjk5ORUbaDHMnj1bTZo0ka+vryIjI/X9999bHVKR1qxZo1tuuUWhoaGy2WxasmSJ03pjjCZNmqSQkBBVr15d0dHR2r17tzXBXkB8fLyuvfZa1a5dWw0aNFBsbKx27drl1Ofs2bMaMWKE6tWrp1q1aumOO+7Q0aNHLYq4cG+88YZat24tPz8/+fn5KSoqSkuXLnWsrwxjcFeu8L2eMmWKbDab09KiRQvH+uJ8PoqTR1etWqVrrrlGPj4+atq0qebNm1eqeMsiv5w4cUKDBg2Sn5+fAgICdN999+n06dNOfbZt26bOnTvL19dXYWFhevHFFwvEsmjRIrVo0UK+vr5q1aqVvvzyy0uKfejQoQV+Fz179nSJ2KWyy4ll9XkpyfenOLHfeOONBY7/8OHDLY8dAAAAKJRBpTFp0iQzY8YMExcXZ/z9/Qusz8nJMRERESY6Otps2bLFfPnllyYwMNCMHz++4oO9gIULFxpvb2/z9ttvmx9//NHcf//9JiAgwBw9etTq0Ar15Zdfmqeeesp8+umnRpJZvHix0/pp06YZf39/s2TJEvPDDz+YW2+91YSHh5szZ85YE3ARYmJizNy5c82OHTvM1q1bTe/evU2jRo3M6dOnHX2GDx9uwsLCTEJCgtm4caO57rrrTKdOnSyMuqDPP//c/Pe//zW//PKL2bVrl5kwYYLx8vIyO3bsMMZUjjG4I1f5Xk+ePNlcffXV5siRI47l2LFjjvUX+3wUJ4/++uuvpkaNGiYuLs789NNP5rXXXjOenp5m2bJlJY63LPJLz549TZs2bcx3331n/ve//5mmTZuagQMHOtanpqaaoKAgM2jQILNjxw6zYMECU716dfPmm286+qxdu9Z4enqaF1980fz000/m6aefNl5eXmb79u2ljn3IkCGmZ8+eTr+LEydOOPWxKnZjyiYnltXnpaTfn+LE3rVrV3P//fc7Hf/U1FTLYwcAAAAKQ4GyEpo7d26hBcovv/zSeHh4mKSkJEfbG2+8Yfz8/ExmZmYFRnhhHTt2NCNGjHC8zs3NNaGhoSY+Pt7CqIrn/D/C7Xa7CQ4ONi+99JKjLSUlxfj4+JgFCxZYEGHxJScnG0lm9erVxpi8uL28vMyiRYscfX7++WcjySQmJloVZrHUqVPH/Otf/6rUY6jsXOV7PXnyZNOmTZtC1xXn81GcPPrEE0+Yq6++2mnfAwYMMDExMZcUe2nyy08//WQkmQ0bNjj6LF261NhsNnP48GFjjDGvv/66qVOnjtP/B5588knTvHlzx+v+/fubPn36OMUTGRlpHnzwwVLFbkxegfK2224rchtXiT1faXJiWX1eLvX7c37sxuQVKEeNGlXkNq4SOwAAAGCMMVzi7UYSExPVqlUrBQUFOdpiYmKUlpamH3/80cLI/pKVlaVNmzYpOjra0ebh4aHo6GglJiZaGFnp7Nu3T0lJSU7j8ff3V2RkpMuPJzU1VZJUt25dSdKmTZuUnZ3tNJYWLVqoUaNGLjuW3NxcLVy4UOnp6YqKiqqUY3AHrva93r17t0JDQ3X55Zdr0KBBOnjwoKTifcaLk0cTExOd9pHfp6zHWpz8kpiYqICAAHXo0MHRJzo6Wh4eHlq/fr2jT5cuXeTt7e0U765du3Ty5MlyHdOqVavUoEEDNW/eXA899JD++OMPxzpXi700ObEsPi9l8f05P/Z8H3zwgQIDAxUREaHx48crIyPDsc5VYgcAAAAkqZrVAaDsJCUlOf2hIcnxOikpyYqQCjh+/Lhyc3MLjXPnzp0WRVV6+ce1sPG4yjEvjN1u1+jRo3X99dcrIiJCUt5YvL29C9zf1BXHsn37dkVFRens2bOqVauWFi9erJYtW2rr1q2VZgzuxJW+15GRkZo3b56aN2+uI0eOaOrUqercubN27NhRrM94cfJoUX3S0tJ05swZVa9evUzGUpz8kpSUpAYNGjitr1atmurWrevUJzw8vMgx1alTp8gxXcr3pmfPnurbt6/Cw8O1d+9eTZgwQb169VJiYqI8PT1dKvbS5sSy+LycPHnykr4/hcUuSXfffbcaN26s0NBQbdu2TU8++aR27dqlTz/91GViBwAAAPJRoLTYuHHj9MILL1ywz88//+z0kAfgUo0YMUI7duzQt99+a3UopdK8eXNt3bpVqamp+vjjjzVkyBCtXr3a6rDgAnr16uX4uXXr1oqMjFTjxo310UcflVnhEMVz1113OX5u1aqVWrdurSuuuEKrVq1S9+7dLYysoMqcE4uK/YEHHnD83KpVK4WEhKh79+7au3evrrjiiooOEwAAALggLvG22JgxY/Tzzz9fcLn88suLta/g4OACTxfNfx0cHFzmsZdGYGCgPD09C43TVWIsifyYK9N4Ro4cqS+++EIrV67UZZdd5mgPDg5WVlaWUlJSnPq74li8vb3VtGlTtW/fXvHx8WrTpo1effXVSjUGd+LK3+uAgABdeeWV2rNnT7E+H8XJo0X18fPzK9MiaHHyS3BwsJKTk53W5+Tk6MSJE2UyprL8/V1++eUKDAzUnj17XCr2S8mJZfF5uZTvT1GxFyYyMlKSnI6/lbEDAAAA56JAabH69eurRYsWF1zOvffWhURFRWn79u1Of/CtWLFCfn5+atmyZXkNoUS8vb3Vvn17JSQkONrsdrsSEhIUFRVlYWSlEx4eruDgYKfxpKWlaf369S43HmOMRo4cqcWLF+ubb74pcNlk+/bt5eXl5TSWXbt26eDBgy43lvPZ7XZlZmZW6jFUZq78vT59+rT27t2rkJCQYn0+ipNHo6KinPaR36esx1qc/BIVFaWUlBRt2rTJ0eebb76R3W53FKSioqK0Zs0aZWdnO8XbvHlz1alTp8LG9Ntvv+mPP/5QSEiIS8ReFjmxLD4vpfn+XCz2wmzdulWSnI6/FbEDAAAAhbL4IT0ogQMHDpgtW7aYqVOnmlq1apktW7aYLVu2mFOnThljjMnJyTERERGmR48eZuvWrWbZsmWmfv36Zvz48RZH7mzhwoXGx8fHzJs3z/z000/mgQceMAEBAU5PEnUlp06dchxrSWbGjBlmy5Yt5sCBA8YYY6ZNm2YCAgLMZ599ZrZt22Zuu+02Ex4ebs6cOWNx5M4eeugh4+/vb1atWmWOHDniWDIyMhx9hg8fbho1amS++eYbs3HjRhMVFWWioqIsjLqgcePGmdWrV5t9+/aZbdu2mXHjxhmbzWaWL19ujKkcY3BHrvK9HjNmjFm1apXZt2+fWbt2rYmOjjaBgYEmOTnZGHPxz0dx8uivv/5qatSoYcaOHWt+/vlnM3v2bOPp6WmWLVtW4njLIr/07NnTtGvXzqxfv958++23plmzZmbgwIGO9SkpKSYoKMjcc889ZseOHWbhwoWmRo0a5s0333T0Wbt2ralWrZp5+eWXzc8//2wmT55svLy8zPbt20sV+6lTp8zjjz9uEhMTzb59+8zXX39trrnmGtOsWTNz9uxZy2M3pmxyYll9Xkr6/blY7Hv27DF///vfzcaNG82+ffvMZ599Zi6//HLTpUsXy2MHAAAACkOBshIZMmSIkVRgWblypaPP/v37Ta9evUz16tVNYGCgGTNmjMnOzrYu6CK89tprplGjRsbb29t07NjRfPfdd1aHVKSVK1cWetyHDBlijDHGbrebiRMnmqCgIOPj42O6d+9udu3aZW3QhShsDJLM3LlzHX3OnDljHn74YVOnTh1To0YNc/vtt5sjR45YF3Qh7r33XtO4cWPj7e1t6tevb7p37+4oThpTOcbgrlzhez1gwAATEhJivL29TcOGDc2AAQPMnj17HOuL8/koTh5duXKladu2rfH29jaXX3650/eoJMoiv/zxxx9m4MCBplatWsbPz88MGzbM8Q9X+X744Qdzww03GB8fH9OwYUMzbdq0ArF89NFH5sorrzTe3t7m6quvNv/9739LHXtGRobp0aOHqV+/vvHy8jKNGzc2999/f4GilVWxG1N2ObGsPi8l+f5cLPaDBw+aLl26mLp16xofHx/TtGlTM3bsWJOammp57AAAAEBhbMYYU27TMwEAAAAAAADgArgHJQAAAAAAAADLUKAEAAAAAAAAYBkKlAAAAAAAAAAsQ4ESAAAAAAAAgGUoUAIAAAAAAACwDAVKAAAAAAAAAJahQAkAAAAAAADAMhQoAQAAAAAAAFiGAiUAAAAAAAAAy1CgBAAAAAAAAGAZCpQAAAAAAAAALEOBEgAAAAAAAIBl/j/35fB9n2//EwAAAABJRU5ErkJggg==",
      "text/plain": [
       "<Figure size 1600x3200 with 30 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Representamos gráficamente las características\n",
    "features = df.drop(\"Class\", axis=1)\n",
    "\n",
    "plt.figure(figsize=(16, 32))\n",
    "gs = gridspec.GridSpec(8, 4)\n",
    "gs.update(hspace=0.8)\n",
    "\n",
    "for i, f in enumerate(features):\n",
    "    ax = plt.subplot(gs[i])\n",
    "    # Usando histplot para los casos donde Class == 1\n",
    "    sns.histplot(data=df[df[\"Class\"] == 1], x=f, kde=True, color=\"red\", stat=\"density\", label=\"Fraud\", alpha=0.5)\n",
    "    # Usando histplot para los casos donde Class == 0\n",
    "    sns.histplot(data=df[df[\"Class\"] == 0], x=f, kde=True, color=\"green\", stat=\"density\", label=\"Legit\", alpha=0.5)\n",
    "    ax.set_xlabel('')\n",
    "    ax.set_title(f\"Feature: {f}\")\n",
    "    ax.legend()\n",
    "\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<Figure size 1400x600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Representación gráfica de dos características\n",
    "plt.figure(figsize=(14, 6))\n",
    "plt.scatter(df[\"V10\"][df['Class'] == 0], df[\"V14\"][df['Class'] == 0], c=\"g\", marker=\".\")\n",
    "plt.scatter(df[\"V10\"][df['Class'] == 1], df[\"V14\"][df['Class'] == 1], c=\"r\", marker=\".\")\n",
    "plt.xlabel(\"V10\", fontsize=14)\n",
    "plt.ylabel(\"V14\", fontsize=14)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1400x400 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(14,4))\n",
    "gs = gridspec.GridSpec(1, 2)\n",
    "\n",
    "# Representación de la característica 1\n",
    "ax = plt.subplot(gs[0])\n",
    "sns.histplot(data=df[df['Class'] == 1], x=\"V14\", kde=True, color=\"red\", stat=\"density\", label=\"Fraud\", alpha=0.5)\n",
    "sns.histplot(data=df[df['Class'] == 0], x=\"V14\", kde=True, color=\"green\", stat=\"density\", label=\"Legit\", alpha=0.5)\n",
    "ax.legend()  # Para mostrar la leyenda\n",
    "\n",
    "# Representación de la característica 2\n",
    "ax = plt.subplot(gs[1])\n",
    "sns.histplot(data=df[df['Class'] == 1], x=\"V10\", kde=True, color=\"red\", stat=\"density\", label=\"Fraud\", alpha=0.5)\n",
    "sns.histplot(data=df[df['Class'] == 0], x=\"V10\", kde=True, color=\"green\", stat=\"density\", label=\"Legit\", alpha=0.5)\n",
    "ax.legend()  # Para mostrar la leyenda\n",
    "\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 3. Preparación del conjunto de datos"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Para este tipo de algoritmos es importante que todos los datos se encuentren en un rango similar, por lo tanto, podemos aplicar una función de escalado o normalización. Otra opción, es eliminar las características que no se encuentran en un rango similar siempre y cuando no sean muy influyentes para la predicción."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [],
   "source": [
    "df_prep = df.drop([\"Time\", \"Amount\"], axis=1)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 4. Isolation Forest con un conjunto de datos de dos dimensiones"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Antes de comenzar con la detección de anomalías mediante Isoltaion Forest para todos los atributos del conjunto de datos, se realiza una prueba para dos atributos con el objetivo de comprender como construye el límite de decisión."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [],
   "source": [
    "X = df_prep.drop(\"Class\", axis=1)\n",
    "y = df_prep[\"Class\"].copy()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [],
   "source": [
    "X_reduced = X[[\"V10\", \"V14\"]].copy()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "**Entrenamiento del algoritmo con un conjunto de datos reducido**"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<style>#sk-container-id-1 {\n",
       "  /* Definition of color scheme common for light and dark mode */\n",
       "  --sklearn-color-text: black;\n",
       "  --sklearn-color-line: gray;\n",
       "  /* Definition of color scheme for unfitted estimators */\n",
       "  --sklearn-color-unfitted-level-0: #fff5e6;\n",
       "  --sklearn-color-unfitted-level-1: #f6e4d2;\n",
       "  --sklearn-color-unfitted-level-2: #ffe0b3;\n",
       "  --sklearn-color-unfitted-level-3: chocolate;\n",
       "  /* Definition of color scheme for fitted estimators */\n",
       "  --sklearn-color-fitted-level-0: #f0f8ff;\n",
       "  --sklearn-color-fitted-level-1: #d4ebff;\n",
       "  --sklearn-color-fitted-level-2: #b3dbfd;\n",
       "  --sklearn-color-fitted-level-3: cornflowerblue;\n",
       "\n",
       "  /* Specific color for light theme */\n",
       "  --sklearn-color-text-on-default-background: var(--sg-text-color, var(--theme-code-foreground, var(--jp-content-font-color1, black)));\n",
       "  --sklearn-color-background: var(--sg-background-color, var(--theme-background, var(--jp-layout-color0, white)));\n",
       "  --sklearn-color-border-box: var(--sg-text-color, var(--theme-code-foreground, var(--jp-content-font-color1, black)));\n",
       "  --sklearn-color-icon: #696969;\n",
       "\n",
       "  @media (prefers-color-scheme: dark) {\n",
       "    /* Redefinition of color scheme for dark theme */\n",
       "    --sklearn-color-text-on-default-background: var(--sg-text-color, var(--theme-code-foreground, var(--jp-content-font-color1, white)));\n",
       "    --sklearn-color-background: var(--sg-background-color, var(--theme-background, var(--jp-layout-color0, #111)));\n",
       "    --sklearn-color-border-box: var(--sg-text-color, var(--theme-code-foreground, var(--jp-content-font-color1, white)));\n",
       "    --sklearn-color-icon: #878787;\n",
       "  }\n",
       "}\n",
       "\n",
       "#sk-container-id-1 {\n",
       "  color: var(--sklearn-color-text);\n",
       "}\n",
       "\n",
       "#sk-container-id-1 pre {\n",
       "  padding: 0;\n",
       "}\n",
       "\n",
       "#sk-container-id-1 input.sk-hidden--visually {\n",
       "  border: 0;\n",
       "  clip: rect(1px 1px 1px 1px);\n",
       "  clip: rect(1px, 1px, 1px, 1px);\n",
       "  height: 1px;\n",
       "  margin: -1px;\n",
       "  overflow: hidden;\n",
       "  padding: 0;\n",
       "  position: absolute;\n",
       "  width: 1px;\n",
       "}\n",
       "\n",
       "#sk-container-id-1 div.sk-dashed-wrapped {\n",
       "  border: 1px dashed var(--sklearn-color-line);\n",
       "  margin: 0 0.4em 0.5em 0.4em;\n",
       "  box-sizing: border-box;\n",
       "  padding-bottom: 0.4em;\n",
       "  background-color: var(--sklearn-color-background);\n",
       "}\n",
       "\n",
       "#sk-container-id-1 div.sk-container {\n",
       "  /* jupyter's `normalize.less` sets `[hidden] { display: none; }`\n",
       "     but bootstrap.min.css set `[hidden] { display: none !important; }`\n",
       "     so we also need the `!important` here to be able to override the\n",
       "     default hidden behavior on the sphinx rendered scikit-learn.org.\n",
       "     See: https://github.com/scikit-learn/scikit-learn/issues/21755 */\n",
       "  display: inline-block !important;\n",
       "  position: relative;\n",
       "}\n",
       "\n",
       "#sk-container-id-1 div.sk-text-repr-fallback {\n",
       "  display: none;\n",
       "}\n",
       "\n",
       "div.sk-parallel-item,\n",
       "div.sk-serial,\n",
       "div.sk-item {\n",
       "  /* draw centered vertical line to link estimators */\n",
       "  background-image: linear-gradient(var(--sklearn-color-text-on-default-background), var(--sklearn-color-text-on-default-background));\n",
       "  background-size: 2px 100%;\n",
       "  background-repeat: no-repeat;\n",
       "  background-position: center center;\n",
       "}\n",
       "\n",
       "/* Parallel-specific style estimator block */\n",
       "\n",
       "#sk-container-id-1 div.sk-parallel-item::after {\n",
       "  content: \"\";\n",
       "  width: 100%;\n",
       "  border-bottom: 2px solid var(--sklearn-color-text-on-default-background);\n",
       "  flex-grow: 1;\n",
       "}\n",
       "\n",
       "#sk-container-id-1 div.sk-parallel {\n",
       "  display: flex;\n",
       "  align-items: stretch;\n",
       "  justify-content: center;\n",
       "  background-color: var(--sklearn-color-background);\n",
       "  position: relative;\n",
       "}\n",
       "\n",
       "#sk-container-id-1 div.sk-parallel-item {\n",
       "  display: flex;\n",
       "  flex-direction: column;\n",
       "}\n",
       "\n",
       "#sk-container-id-1 div.sk-parallel-item:first-child::after {\n",
       "  align-self: flex-end;\n",
       "  width: 50%;\n",
       "}\n",
       "\n",
       "#sk-container-id-1 div.sk-parallel-item:last-child::after {\n",
       "  align-self: flex-start;\n",
       "  width: 50%;\n",
       "}\n",
       "\n",
       "#sk-container-id-1 div.sk-parallel-item:only-child::after {\n",
       "  width: 0;\n",
       "}\n",
       "\n",
       "/* Serial-specific style estimator block */\n",
       "\n",
       "#sk-container-id-1 div.sk-serial {\n",
       "  display: flex;\n",
       "  flex-direction: column;\n",
       "  align-items: center;\n",
       "  background-color: var(--sklearn-color-background);\n",
       "  padding-right: 1em;\n",
       "  padding-left: 1em;\n",
       "}\n",
       "\n",
       "\n",
       "/* Toggleable style: style used for estimator/Pipeline/ColumnTransformer box that is\n",
       "clickable and can be expanded/collapsed.\n",
       "- Pipeline and ColumnTransformer use this feature and define the default style\n",
       "- Estimators will overwrite some part of the style using the `sk-estimator` class\n",
       "*/\n",
       "\n",
       "/* Pipeline and ColumnTransformer style (default) */\n",
       "\n",
       "#sk-container-id-1 div.sk-toggleable {\n",
       "  /* Default theme specific background. It is overwritten whether we have a\n",
       "  specific estimator or a Pipeline/ColumnTransformer */\n",
       "  background-color: var(--sklearn-color-background);\n",
       "}\n",
       "\n",
       "/* Toggleable label */\n",
       "#sk-container-id-1 label.sk-toggleable__label {\n",
       "  cursor: pointer;\n",
       "  display: block;\n",
       "  width: 100%;\n",
       "  margin-bottom: 0;\n",
       "  padding: 0.5em;\n",
       "  box-sizing: border-box;\n",
       "  text-align: center;\n",
       "}\n",
       "\n",
       "#sk-container-id-1 label.sk-toggleable__label-arrow:before {\n",
       "  /* Arrow on the left of the label */\n",
       "  content: \"▸\";\n",
       "  float: left;\n",
       "  margin-right: 0.25em;\n",
       "  color: var(--sklearn-color-icon);\n",
       "}\n",
       "\n",
       "#sk-container-id-1 label.sk-toggleable__label-arrow:hover:before {\n",
       "  color: var(--sklearn-color-text);\n",
       "}\n",
       "\n",
       "/* Toggleable content - dropdown */\n",
       "\n",
       "#sk-container-id-1 div.sk-toggleable__content {\n",
       "  max-height: 0;\n",
       "  max-width: 0;\n",
       "  overflow: hidden;\n",
       "  text-align: left;\n",
       "  /* unfitted */\n",
       "  background-color: var(--sklearn-color-unfitted-level-0);\n",
       "}\n",
       "\n",
       "#sk-container-id-1 div.sk-toggleable__content.fitted {\n",
       "  /* fitted */\n",
       "  background-color: var(--sklearn-color-fitted-level-0);\n",
       "}\n",
       "\n",
       "#sk-container-id-1 div.sk-toggleable__content pre {\n",
       "  margin: 0.2em;\n",
       "  border-radius: 0.25em;\n",
       "  color: var(--sklearn-color-text);\n",
       "  /* unfitted */\n",
       "  background-color: var(--sklearn-color-unfitted-level-0);\n",
       "}\n",
       "\n",
       "#sk-container-id-1 div.sk-toggleable__content.fitted pre {\n",
       "  /* unfitted */\n",
       "  background-color: var(--sklearn-color-fitted-level-0);\n",
       "}\n",
       "\n",
       "#sk-container-id-1 input.sk-toggleable__control:checked~div.sk-toggleable__content {\n",
       "  /* Expand drop-down */\n",
       "  max-height: 200px;\n",
       "  max-width: 100%;\n",
       "  overflow: auto;\n",
       "}\n",
       "\n",
       "#sk-container-id-1 input.sk-toggleable__control:checked~label.sk-toggleable__label-arrow:before {\n",
       "  content: \"▾\";\n",
       "}\n",
       "\n",
       "/* Pipeline/ColumnTransformer-specific style */\n",
       "\n",
       "#sk-container-id-1 div.sk-label input.sk-toggleable__control:checked~label.sk-toggleable__label {\n",
       "  color: var(--sklearn-color-text);\n",
       "  background-color: var(--sklearn-color-unfitted-level-2);\n",
       "}\n",
       "\n",
       "#sk-container-id-1 div.sk-label.fitted input.sk-toggleable__control:checked~label.sk-toggleable__label {\n",
       "  background-color: var(--sklearn-color-fitted-level-2);\n",
       "}\n",
       "\n",
       "/* Estimator-specific style */\n",
       "\n",
       "/* Colorize estimator box */\n",
       "#sk-container-id-1 div.sk-estimator input.sk-toggleable__control:checked~label.sk-toggleable__label {\n",
       "  /* unfitted */\n",
       "  background-color: var(--sklearn-color-unfitted-level-2);\n",
       "}\n",
       "\n",
       "#sk-container-id-1 div.sk-estimator.fitted input.sk-toggleable__control:checked~label.sk-toggleable__label {\n",
       "  /* fitted */\n",
       "  background-color: var(--sklearn-color-fitted-level-2);\n",
       "}\n",
       "\n",
       "#sk-container-id-1 div.sk-label label.sk-toggleable__label,\n",
       "#sk-container-id-1 div.sk-label label {\n",
       "  /* The background is the default theme color */\n",
       "  color: var(--sklearn-color-text-on-default-background);\n",
       "}\n",
       "\n",
       "/* On hover, darken the color of the background */\n",
       "#sk-container-id-1 div.sk-label:hover label.sk-toggleable__label {\n",
       "  color: var(--sklearn-color-text);\n",
       "  background-color: var(--sklearn-color-unfitted-level-2);\n",
       "}\n",
       "\n",
       "/* Label box, darken color on hover, fitted */\n",
       "#sk-container-id-1 div.sk-label.fitted:hover label.sk-toggleable__label.fitted {\n",
       "  color: var(--sklearn-color-text);\n",
       "  background-color: var(--sklearn-color-fitted-level-2);\n",
       "}\n",
       "\n",
       "/* Estimator label */\n",
       "\n",
       "#sk-container-id-1 div.sk-label label {\n",
       "  font-family: monospace;\n",
       "  font-weight: bold;\n",
       "  display: inline-block;\n",
       "  line-height: 1.2em;\n",
       "}\n",
       "\n",
       "#sk-container-id-1 div.sk-label-container {\n",
       "  text-align: center;\n",
       "}\n",
       "\n",
       "/* Estimator-specific */\n",
       "#sk-container-id-1 div.sk-estimator {\n",
       "  font-family: monospace;\n",
       "  border: 1px dotted var(--sklearn-color-border-box);\n",
       "  border-radius: 0.25em;\n",
       "  box-sizing: border-box;\n",
       "  margin-bottom: 0.5em;\n",
       "  /* unfitted */\n",
       "  background-color: var(--sklearn-color-unfitted-level-0);\n",
       "}\n",
       "\n",
       "#sk-container-id-1 div.sk-estimator.fitted {\n",
       "  /* fitted */\n",
       "  background-color: var(--sklearn-color-fitted-level-0);\n",
       "}\n",
       "\n",
       "/* on hover */\n",
       "#sk-container-id-1 div.sk-estimator:hover {\n",
       "  /* unfitted */\n",
       "  background-color: var(--sklearn-color-unfitted-level-2);\n",
       "}\n",
       "\n",
       "#sk-container-id-1 div.sk-estimator.fitted:hover {\n",
       "  /* fitted */\n",
       "  background-color: var(--sklearn-color-fitted-level-2);\n",
       "}\n",
       "\n",
       "/* Specification for estimator info (e.g. \"i\" and \"?\") */\n",
       "\n",
       "/* Common style for \"i\" and \"?\" */\n",
       "\n",
       ".sk-estimator-doc-link,\n",
       "a:link.sk-estimator-doc-link,\n",
       "a:visited.sk-estimator-doc-link {\n",
       "  float: right;\n",
       "  font-size: smaller;\n",
       "  line-height: 1em;\n",
       "  font-family: monospace;\n",
       "  background-color: var(--sklearn-color-background);\n",
       "  border-radius: 1em;\n",
       "  height: 1em;\n",
       "  width: 1em;\n",
       "  text-decoration: none !important;\n",
       "  margin-left: 1ex;\n",
       "  /* unfitted */\n",
       "  border: var(--sklearn-color-unfitted-level-1) 1pt solid;\n",
       "  color: var(--sklearn-color-unfitted-level-1);\n",
       "}\n",
       "\n",
       ".sk-estimator-doc-link.fitted,\n",
       "a:link.sk-estimator-doc-link.fitted,\n",
       "a:visited.sk-estimator-doc-link.fitted {\n",
       "  /* fitted */\n",
       "  border: var(--sklearn-color-fitted-level-1) 1pt solid;\n",
       "  color: var(--sklearn-color-fitted-level-1);\n",
       "}\n",
       "\n",
       "/* On hover */\n",
       "div.sk-estimator:hover .sk-estimator-doc-link:hover,\n",
       ".sk-estimator-doc-link:hover,\n",
       "div.sk-label-container:hover .sk-estimator-doc-link:hover,\n",
       ".sk-estimator-doc-link:hover {\n",
       "  /* unfitted */\n",
       "  background-color: var(--sklearn-color-unfitted-level-3);\n",
       "  color: var(--sklearn-color-background);\n",
       "  text-decoration: none;\n",
       "}\n",
       "\n",
       "div.sk-estimator.fitted:hover .sk-estimator-doc-link.fitted:hover,\n",
       ".sk-estimator-doc-link.fitted:hover,\n",
       "div.sk-label-container:hover .sk-estimator-doc-link.fitted:hover,\n",
       ".sk-estimator-doc-link.fitted:hover {\n",
       "  /* fitted */\n",
       "  background-color: var(--sklearn-color-fitted-level-3);\n",
       "  color: var(--sklearn-color-background);\n",
       "  text-decoration: none;\n",
       "}\n",
       "\n",
       "/* Span, style for the box shown on hovering the info icon */\n",
       ".sk-estimator-doc-link span {\n",
       "  display: none;\n",
       "  z-index: 9999;\n",
       "  position: relative;\n",
       "  font-weight: normal;\n",
       "  right: .2ex;\n",
       "  padding: .5ex;\n",
       "  margin: .5ex;\n",
       "  width: min-content;\n",
       "  min-width: 20ex;\n",
       "  max-width: 50ex;\n",
       "  color: var(--sklearn-color-text);\n",
       "  box-shadow: 2pt 2pt 4pt #999;\n",
       "  /* unfitted */\n",
       "  background: var(--sklearn-color-unfitted-level-0);\n",
       "  border: .5pt solid var(--sklearn-color-unfitted-level-3);\n",
       "}\n",
       "\n",
       ".sk-estimator-doc-link.fitted span {\n",
       "  /* fitted */\n",
       "  background: var(--sklearn-color-fitted-level-0);\n",
       "  border: var(--sklearn-color-fitted-level-3);\n",
       "}\n",
       "\n",
       ".sk-estimator-doc-link:hover span {\n",
       "  display: block;\n",
       "}\n",
       "\n",
       "/* \"?\"-specific style due to the `<a>` HTML tag */\n",
       "\n",
       "#sk-container-id-1 a.estimator_doc_link {\n",
       "  float: right;\n",
       "  font-size: 1rem;\n",
       "  line-height: 1em;\n",
       "  font-family: monospace;\n",
       "  background-color: var(--sklearn-color-background);\n",
       "  border-radius: 1rem;\n",
       "  height: 1rem;\n",
       "  width: 1rem;\n",
       "  text-decoration: none;\n",
       "  /* unfitted */\n",
       "  color: var(--sklearn-color-unfitted-level-1);\n",
       "  border: var(--sklearn-color-unfitted-level-1) 1pt solid;\n",
       "}\n",
       "\n",
       "#sk-container-id-1 a.estimator_doc_link.fitted {\n",
       "  /* fitted */\n",
       "  border: var(--sklearn-color-fitted-level-1) 1pt solid;\n",
       "  color: var(--sklearn-color-fitted-level-1);\n",
       "}\n",
       "\n",
       "/* On hover */\n",
       "#sk-container-id-1 a.estimator_doc_link:hover {\n",
       "  /* unfitted */\n",
       "  background-color: var(--sklearn-color-unfitted-level-3);\n",
       "  color: var(--sklearn-color-background);\n",
       "  text-decoration: none;\n",
       "}\n",
       "\n",
       "#sk-container-id-1 a.estimator_doc_link.fitted:hover {\n",
       "  /* fitted */\n",
       "  background-color: var(--sklearn-color-fitted-level-3);\n",
       "}\n",
       "</style><div id=\"sk-container-id-1\" class=\"sk-top-container\"><div class=\"sk-text-repr-fallback\"><pre>IsolationForest(contamination=0.01, max_samples=300)</pre><b>In a Jupyter environment, please rerun this cell to show the HTML representation or trust the notebook. <br />On GitHub, the HTML representation is unable to render, please try loading this page with nbviewer.org.</b></div><div class=\"sk-container\" hidden><div class=\"sk-item\"><div class=\"sk-estimator fitted sk-toggleable\"><input class=\"sk-toggleable__control sk-hidden--visually\" id=\"sk-estimator-id-1\" type=\"checkbox\" checked><label for=\"sk-estimator-id-1\" class=\"sk-toggleable__label fitted sk-toggleable__label-arrow fitted\">&nbsp;&nbsp;IsolationForest<a class=\"sk-estimator-doc-link fitted\" rel=\"noreferrer\" target=\"_blank\" href=\"https://scikit-learn.org/1.4/modules/generated/sklearn.ensemble.IsolationForest.html\">?<span>Documentation for IsolationForest</span></a><span class=\"sk-estimator-doc-link fitted\">i<span>Fitted</span></span></label><div class=\"sk-toggleable__content fitted\"><pre>IsolationForest(contamination=0.01, max_samples=300)</pre></div> </div></div></div></div>"
      ],
      "text/plain": [
       "IsolationForest(contamination=0.01, max_samples=300)"
      ]
     },
     "execution_count": 16,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "from sklearn.ensemble import IsolationForest\n",
    "\n",
    "ift_clf = IsolationForest(contamination=0.01, max_samples=300)\n",
    "ift_clf.fit(X_reduced)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "**Representación del límite de decisión**"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1400x600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "def plot_isolation_forest(X, y, resolution=1000):\n",
    "    mins = X.min(axis=0) - 0.1\n",
    "    maxs = X.max(axis=0) + 0.1\n",
    "    xx, yy = np.meshgrid(np.linspace(mins[0], maxs[0], resolution),\n",
    "                         np.linspace(mins[1], maxs[1], resolution))\n",
    "    \n",
    "    Z = ift_clf.decision_function(np.c_[xx.ravel(), yy.ravel()])\n",
    "    Z = Z.reshape(xx.shape)\n",
    "\n",
    "    plt.contourf(xx, yy, Z)\n",
    "\n",
    "    plt.plot(X[:, 0][y==0], X[:, 1][y==0], 'w.')\n",
    "    plt.plot(X[:, 0][y==1], X[:, 1][y==1], 'r.')\n",
    "    \n",
    "plt.figure(figsize=(14, 6))\n",
    "plot_isolation_forest(X_reduced.values, y)\n",
    "plt.xlabel(\"V10\", fontsize=14)\n",
    "plt.ylabel(\"V14\", fontsize=14)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "**Representación de las anomalías identificadas**"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Identificación de anomalías\n",
    "anomalies = ift_clf.predict(X_reduced)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<Figure size 1400x600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Representación gráfica de las anomalías\n",
    "plt.figure(figsize=(14, 6))\n",
    "plt.plot(X_reduced[\"V10\"][anomalies == -1], X_reduced[\"V14\"][anomalies == -1], 'go', markersize=6)\n",
    "plot_isolation_forest(X_reduced.values, y)\n",
    "plt.xlabel(\"V10\", fontsize=14)\n",
    "plt.ylabel(\"V14\", fontsize=14)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "**Predicción con el conjunto de datos reducido**"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Total de anomalías identificadas: 2844\n"
     ]
    }
   ],
   "source": [
    "print(\"Total de anomalías identificadas:\", len(y[anomalies==-1]))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Class\n",
       "0    2446\n",
       "1     398\n",
       "Name: count, dtype: int64"
      ]
     },
     "execution_count": 21,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Verdaderos y falsos positivos de casos fraudulentos en el total de anomalías\n",
    "y[anomalies==-1].value_counts()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 5. Isolation Forest con un conjunto de datos multidimensional"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<style>#sk-container-id-2 {\n",
       "  /* Definition of color scheme common for light and dark mode */\n",
       "  --sklearn-color-text: black;\n",
       "  --sklearn-color-line: gray;\n",
       "  /* Definition of color scheme for unfitted estimators */\n",
       "  --sklearn-color-unfitted-level-0: #fff5e6;\n",
       "  --sklearn-color-unfitted-level-1: #f6e4d2;\n",
       "  --sklearn-color-unfitted-level-2: #ffe0b3;\n",
       "  --sklearn-color-unfitted-level-3: chocolate;\n",
       "  /* Definition of color scheme for fitted estimators */\n",
       "  --sklearn-color-fitted-level-0: #f0f8ff;\n",
       "  --sklearn-color-fitted-level-1: #d4ebff;\n",
       "  --sklearn-color-fitted-level-2: #b3dbfd;\n",
       "  --sklearn-color-fitted-level-3: cornflowerblue;\n",
       "\n",
       "  /* Specific color for light theme */\n",
       "  --sklearn-color-text-on-default-background: var(--sg-text-color, var(--theme-code-foreground, var(--jp-content-font-color1, black)));\n",
       "  --sklearn-color-background: var(--sg-background-color, var(--theme-background, var(--jp-layout-color0, white)));\n",
       "  --sklearn-color-border-box: var(--sg-text-color, var(--theme-code-foreground, var(--jp-content-font-color1, black)));\n",
       "  --sklearn-color-icon: #696969;\n",
       "\n",
       "  @media (prefers-color-scheme: dark) {\n",
       "    /* Redefinition of color scheme for dark theme */\n",
       "    --sklearn-color-text-on-default-background: var(--sg-text-color, var(--theme-code-foreground, var(--jp-content-font-color1, white)));\n",
       "    --sklearn-color-background: var(--sg-background-color, var(--theme-background, var(--jp-layout-color0, #111)));\n",
       "    --sklearn-color-border-box: var(--sg-text-color, var(--theme-code-foreground, var(--jp-content-font-color1, white)));\n",
       "    --sklearn-color-icon: #878787;\n",
       "  }\n",
       "}\n",
       "\n",
       "#sk-container-id-2 {\n",
       "  color: var(--sklearn-color-text);\n",
       "}\n",
       "\n",
       "#sk-container-id-2 pre {\n",
       "  padding: 0;\n",
       "}\n",
       "\n",
       "#sk-container-id-2 input.sk-hidden--visually {\n",
       "  border: 0;\n",
       "  clip: rect(1px 1px 1px 1px);\n",
       "  clip: rect(1px, 1px, 1px, 1px);\n",
       "  height: 1px;\n",
       "  margin: -1px;\n",
       "  overflow: hidden;\n",
       "  padding: 0;\n",
       "  position: absolute;\n",
       "  width: 1px;\n",
       "}\n",
       "\n",
       "#sk-container-id-2 div.sk-dashed-wrapped {\n",
       "  border: 1px dashed var(--sklearn-color-line);\n",
       "  margin: 0 0.4em 0.5em 0.4em;\n",
       "  box-sizing: border-box;\n",
       "  padding-bottom: 0.4em;\n",
       "  background-color: var(--sklearn-color-background);\n",
       "}\n",
       "\n",
       "#sk-container-id-2 div.sk-container {\n",
       "  /* jupyter's `normalize.less` sets `[hidden] { display: none; }`\n",
       "     but bootstrap.min.css set `[hidden] { display: none !important; }`\n",
       "     so we also need the `!important` here to be able to override the\n",
       "     default hidden behavior on the sphinx rendered scikit-learn.org.\n",
       "     See: https://github.com/scikit-learn/scikit-learn/issues/21755 */\n",
       "  display: inline-block !important;\n",
       "  position: relative;\n",
       "}\n",
       "\n",
       "#sk-container-id-2 div.sk-text-repr-fallback {\n",
       "  display: none;\n",
       "}\n",
       "\n",
       "div.sk-parallel-item,\n",
       "div.sk-serial,\n",
       "div.sk-item {\n",
       "  /* draw centered vertical line to link estimators */\n",
       "  background-image: linear-gradient(var(--sklearn-color-text-on-default-background), var(--sklearn-color-text-on-default-background));\n",
       "  background-size: 2px 100%;\n",
       "  background-repeat: no-repeat;\n",
       "  background-position: center center;\n",
       "}\n",
       "\n",
       "/* Parallel-specific style estimator block */\n",
       "\n",
       "#sk-container-id-2 div.sk-parallel-item::after {\n",
       "  content: \"\";\n",
       "  width: 100%;\n",
       "  border-bottom: 2px solid var(--sklearn-color-text-on-default-background);\n",
       "  flex-grow: 1;\n",
       "}\n",
       "\n",
       "#sk-container-id-2 div.sk-parallel {\n",
       "  display: flex;\n",
       "  align-items: stretch;\n",
       "  justify-content: center;\n",
       "  background-color: var(--sklearn-color-background);\n",
       "  position: relative;\n",
       "}\n",
       "\n",
       "#sk-container-id-2 div.sk-parallel-item {\n",
       "  display: flex;\n",
       "  flex-direction: column;\n",
       "}\n",
       "\n",
       "#sk-container-id-2 div.sk-parallel-item:first-child::after {\n",
       "  align-self: flex-end;\n",
       "  width: 50%;\n",
       "}\n",
       "\n",
       "#sk-container-id-2 div.sk-parallel-item:last-child::after {\n",
       "  align-self: flex-start;\n",
       "  width: 50%;\n",
       "}\n",
       "\n",
       "#sk-container-id-2 div.sk-parallel-item:only-child::after {\n",
       "  width: 0;\n",
       "}\n",
       "\n",
       "/* Serial-specific style estimator block */\n",
       "\n",
       "#sk-container-id-2 div.sk-serial {\n",
       "  display: flex;\n",
       "  flex-direction: column;\n",
       "  align-items: center;\n",
       "  background-color: var(--sklearn-color-background);\n",
       "  padding-right: 1em;\n",
       "  padding-left: 1em;\n",
       "}\n",
       "\n",
       "\n",
       "/* Toggleable style: style used for estimator/Pipeline/ColumnTransformer box that is\n",
       "clickable and can be expanded/collapsed.\n",
       "- Pipeline and ColumnTransformer use this feature and define the default style\n",
       "- Estimators will overwrite some part of the style using the `sk-estimator` class\n",
       "*/\n",
       "\n",
       "/* Pipeline and ColumnTransformer style (default) */\n",
       "\n",
       "#sk-container-id-2 div.sk-toggleable {\n",
       "  /* Default theme specific background. It is overwritten whether we have a\n",
       "  specific estimator or a Pipeline/ColumnTransformer */\n",
       "  background-color: var(--sklearn-color-background);\n",
       "}\n",
       "\n",
       "/* Toggleable label */\n",
       "#sk-container-id-2 label.sk-toggleable__label {\n",
       "  cursor: pointer;\n",
       "  display: block;\n",
       "  width: 100%;\n",
       "  margin-bottom: 0;\n",
       "  padding: 0.5em;\n",
       "  box-sizing: border-box;\n",
       "  text-align: center;\n",
       "}\n",
       "\n",
       "#sk-container-id-2 label.sk-toggleable__label-arrow:before {\n",
       "  /* Arrow on the left of the label */\n",
       "  content: \"▸\";\n",
       "  float: left;\n",
       "  margin-right: 0.25em;\n",
       "  color: var(--sklearn-color-icon);\n",
       "}\n",
       "\n",
       "#sk-container-id-2 label.sk-toggleable__label-arrow:hover:before {\n",
       "  color: var(--sklearn-color-text);\n",
       "}\n",
       "\n",
       "/* Toggleable content - dropdown */\n",
       "\n",
       "#sk-container-id-2 div.sk-toggleable__content {\n",
       "  max-height: 0;\n",
       "  max-width: 0;\n",
       "  overflow: hidden;\n",
       "  text-align: left;\n",
       "  /* unfitted */\n",
       "  background-color: var(--sklearn-color-unfitted-level-0);\n",
       "}\n",
       "\n",
       "#sk-container-id-2 div.sk-toggleable__content.fitted {\n",
       "  /* fitted */\n",
       "  background-color: var(--sklearn-color-fitted-level-0);\n",
       "}\n",
       "\n",
       "#sk-container-id-2 div.sk-toggleable__content pre {\n",
       "  margin: 0.2em;\n",
       "  border-radius: 0.25em;\n",
       "  color: var(--sklearn-color-text);\n",
       "  /* unfitted */\n",
       "  background-color: var(--sklearn-color-unfitted-level-0);\n",
       "}\n",
       "\n",
       "#sk-container-id-2 div.sk-toggleable__content.fitted pre {\n",
       "  /* unfitted */\n",
       "  background-color: var(--sklearn-color-fitted-level-0);\n",
       "}\n",
       "\n",
       "#sk-container-id-2 input.sk-toggleable__control:checked~div.sk-toggleable__content {\n",
       "  /* Expand drop-down */\n",
       "  max-height: 200px;\n",
       "  max-width: 100%;\n",
       "  overflow: auto;\n",
       "}\n",
       "\n",
       "#sk-container-id-2 input.sk-toggleable__control:checked~label.sk-toggleable__label-arrow:before {\n",
       "  content: \"▾\";\n",
       "}\n",
       "\n",
       "/* Pipeline/ColumnTransformer-specific style */\n",
       "\n",
       "#sk-container-id-2 div.sk-label input.sk-toggleable__control:checked~label.sk-toggleable__label {\n",
       "  color: var(--sklearn-color-text);\n",
       "  background-color: var(--sklearn-color-unfitted-level-2);\n",
       "}\n",
       "\n",
       "#sk-container-id-2 div.sk-label.fitted input.sk-toggleable__control:checked~label.sk-toggleable__label {\n",
       "  background-color: var(--sklearn-color-fitted-level-2);\n",
       "}\n",
       "\n",
       "/* Estimator-specific style */\n",
       "\n",
       "/* Colorize estimator box */\n",
       "#sk-container-id-2 div.sk-estimator input.sk-toggleable__control:checked~label.sk-toggleable__label {\n",
       "  /* unfitted */\n",
       "  background-color: var(--sklearn-color-unfitted-level-2);\n",
       "}\n",
       "\n",
       "#sk-container-id-2 div.sk-estimator.fitted input.sk-toggleable__control:checked~label.sk-toggleable__label {\n",
       "  /* fitted */\n",
       "  background-color: var(--sklearn-color-fitted-level-2);\n",
       "}\n",
       "\n",
       "#sk-container-id-2 div.sk-label label.sk-toggleable__label,\n",
       "#sk-container-id-2 div.sk-label label {\n",
       "  /* The background is the default theme color */\n",
       "  color: var(--sklearn-color-text-on-default-background);\n",
       "}\n",
       "\n",
       "/* On hover, darken the color of the background */\n",
       "#sk-container-id-2 div.sk-label:hover label.sk-toggleable__label {\n",
       "  color: var(--sklearn-color-text);\n",
       "  background-color: var(--sklearn-color-unfitted-level-2);\n",
       "}\n",
       "\n",
       "/* Label box, darken color on hover, fitted */\n",
       "#sk-container-id-2 div.sk-label.fitted:hover label.sk-toggleable__label.fitted {\n",
       "  color: var(--sklearn-color-text);\n",
       "  background-color: var(--sklearn-color-fitted-level-2);\n",
       "}\n",
       "\n",
       "/* Estimator label */\n",
       "\n",
       "#sk-container-id-2 div.sk-label label {\n",
       "  font-family: monospace;\n",
       "  font-weight: bold;\n",
       "  display: inline-block;\n",
       "  line-height: 1.2em;\n",
       "}\n",
       "\n",
       "#sk-container-id-2 div.sk-label-container {\n",
       "  text-align: center;\n",
       "}\n",
       "\n",
       "/* Estimator-specific */\n",
       "#sk-container-id-2 div.sk-estimator {\n",
       "  font-family: monospace;\n",
       "  border: 1px dotted var(--sklearn-color-border-box);\n",
       "  border-radius: 0.25em;\n",
       "  box-sizing: border-box;\n",
       "  margin-bottom: 0.5em;\n",
       "  /* unfitted */\n",
       "  background-color: var(--sklearn-color-unfitted-level-0);\n",
       "}\n",
       "\n",
       "#sk-container-id-2 div.sk-estimator.fitted {\n",
       "  /* fitted */\n",
       "  background-color: var(--sklearn-color-fitted-level-0);\n",
       "}\n",
       "\n",
       "/* on hover */\n",
       "#sk-container-id-2 div.sk-estimator:hover {\n",
       "  /* unfitted */\n",
       "  background-color: var(--sklearn-color-unfitted-level-2);\n",
       "}\n",
       "\n",
       "#sk-container-id-2 div.sk-estimator.fitted:hover {\n",
       "  /* fitted */\n",
       "  background-color: var(--sklearn-color-fitted-level-2);\n",
       "}\n",
       "\n",
       "/* Specification for estimator info (e.g. \"i\" and \"?\") */\n",
       "\n",
       "/* Common style for \"i\" and \"?\" */\n",
       "\n",
       ".sk-estimator-doc-link,\n",
       "a:link.sk-estimator-doc-link,\n",
       "a:visited.sk-estimator-doc-link {\n",
       "  float: right;\n",
       "  font-size: smaller;\n",
       "  line-height: 1em;\n",
       "  font-family: monospace;\n",
       "  background-color: var(--sklearn-color-background);\n",
       "  border-radius: 1em;\n",
       "  height: 1em;\n",
       "  width: 1em;\n",
       "  text-decoration: none !important;\n",
       "  margin-left: 1ex;\n",
       "  /* unfitted */\n",
       "  border: var(--sklearn-color-unfitted-level-1) 1pt solid;\n",
       "  color: var(--sklearn-color-unfitted-level-1);\n",
       "}\n",
       "\n",
       ".sk-estimator-doc-link.fitted,\n",
       "a:link.sk-estimator-doc-link.fitted,\n",
       "a:visited.sk-estimator-doc-link.fitted {\n",
       "  /* fitted */\n",
       "  border: var(--sklearn-color-fitted-level-1) 1pt solid;\n",
       "  color: var(--sklearn-color-fitted-level-1);\n",
       "}\n",
       "\n",
       "/* On hover */\n",
       "div.sk-estimator:hover .sk-estimator-doc-link:hover,\n",
       ".sk-estimator-doc-link:hover,\n",
       "div.sk-label-container:hover .sk-estimator-doc-link:hover,\n",
       ".sk-estimator-doc-link:hover {\n",
       "  /* unfitted */\n",
       "  background-color: var(--sklearn-color-unfitted-level-3);\n",
       "  color: var(--sklearn-color-background);\n",
       "  text-decoration: none;\n",
       "}\n",
       "\n",
       "div.sk-estimator.fitted:hover .sk-estimator-doc-link.fitted:hover,\n",
       ".sk-estimator-doc-link.fitted:hover,\n",
       "div.sk-label-container:hover .sk-estimator-doc-link.fitted:hover,\n",
       ".sk-estimator-doc-link.fitted:hover {\n",
       "  /* fitted */\n",
       "  background-color: var(--sklearn-color-fitted-level-3);\n",
       "  color: var(--sklearn-color-background);\n",
       "  text-decoration: none;\n",
       "}\n",
       "\n",
       "/* Span, style for the box shown on hovering the info icon */\n",
       ".sk-estimator-doc-link span {\n",
       "  display: none;\n",
       "  z-index: 9999;\n",
       "  position: relative;\n",
       "  font-weight: normal;\n",
       "  right: .2ex;\n",
       "  padding: .5ex;\n",
       "  margin: .5ex;\n",
       "  width: min-content;\n",
       "  min-width: 20ex;\n",
       "  max-width: 50ex;\n",
       "  color: var(--sklearn-color-text);\n",
       "  box-shadow: 2pt 2pt 4pt #999;\n",
       "  /* unfitted */\n",
       "  background: var(--sklearn-color-unfitted-level-0);\n",
       "  border: .5pt solid var(--sklearn-color-unfitted-level-3);\n",
       "}\n",
       "\n",
       ".sk-estimator-doc-link.fitted span {\n",
       "  /* fitted */\n",
       "  background: var(--sklearn-color-fitted-level-0);\n",
       "  border: var(--sklearn-color-fitted-level-3);\n",
       "}\n",
       "\n",
       ".sk-estimator-doc-link:hover span {\n",
       "  display: block;\n",
       "}\n",
       "\n",
       "/* \"?\"-specific style due to the `<a>` HTML tag */\n",
       "\n",
       "#sk-container-id-2 a.estimator_doc_link {\n",
       "  float: right;\n",
       "  font-size: 1rem;\n",
       "  line-height: 1em;\n",
       "  font-family: monospace;\n",
       "  background-color: var(--sklearn-color-background);\n",
       "  border-radius: 1rem;\n",
       "  height: 1rem;\n",
       "  width: 1rem;\n",
       "  text-decoration: none;\n",
       "  /* unfitted */\n",
       "  color: var(--sklearn-color-unfitted-level-1);\n",
       "  border: var(--sklearn-color-unfitted-level-1) 1pt solid;\n",
       "}\n",
       "\n",
       "#sk-container-id-2 a.estimator_doc_link.fitted {\n",
       "  /* fitted */\n",
       "  border: var(--sklearn-color-fitted-level-1) 1pt solid;\n",
       "  color: var(--sklearn-color-fitted-level-1);\n",
       "}\n",
       "\n",
       "/* On hover */\n",
       "#sk-container-id-2 a.estimator_doc_link:hover {\n",
       "  /* unfitted */\n",
       "  background-color: var(--sklearn-color-unfitted-level-3);\n",
       "  color: var(--sklearn-color-background);\n",
       "  text-decoration: none;\n",
       "}\n",
       "\n",
       "#sk-container-id-2 a.estimator_doc_link.fitted:hover {\n",
       "  /* fitted */\n",
       "  background-color: var(--sklearn-color-fitted-level-3);\n",
       "}\n",
       "</style><div id=\"sk-container-id-2\" class=\"sk-top-container\"><div class=\"sk-text-repr-fallback\"><pre>IsolationForest(contamination=0.015, max_samples=100)</pre><b>In a Jupyter environment, please rerun this cell to show the HTML representation or trust the notebook. <br />On GitHub, the HTML representation is unable to render, please try loading this page with nbviewer.org.</b></div><div class=\"sk-container\" hidden><div class=\"sk-item\"><div class=\"sk-estimator fitted sk-toggleable\"><input class=\"sk-toggleable__control sk-hidden--visually\" id=\"sk-estimator-id-2\" type=\"checkbox\" checked><label for=\"sk-estimator-id-2\" class=\"sk-toggleable__label fitted sk-toggleable__label-arrow fitted\">&nbsp;&nbsp;IsolationForest<a class=\"sk-estimator-doc-link fitted\" rel=\"noreferrer\" target=\"_blank\" href=\"https://scikit-learn.org/1.4/modules/generated/sklearn.ensemble.IsolationForest.html\">?<span>Documentation for IsolationForest</span></a><span class=\"sk-estimator-doc-link fitted\">i<span>Fitted</span></span></label><div class=\"sk-toggleable__content fitted\"><pre>IsolationForest(contamination=0.015, max_samples=100)</pre></div> </div></div></div></div>"
      ],
      "text/plain": [
       "IsolationForest(contamination=0.015, max_samples=100)"
      ]
     },
     "execution_count": 22,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Entrenamiento del modelo\n",
    "ift_clf = IsolationForest(max_samples=100, contamination=0.015)\n",
    "ift_clf.fit(X)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Identificación de anomalías\n",
    "anomalies = ift_clf.predict(X)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Total de anomalías identificadas: 4273\n"
     ]
    }
   ],
   "source": [
    "print(\"Total de anomalías identificadas:\", len(y[anomalies==-1]))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Class\n",
       "0    3950\n",
       "1     323\n",
       "Name: count, dtype: int64"
      ]
     },
     "execution_count": 25,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Verdaderos y falsos positivos de casos fraudulentos\n",
    "y[anomalies==-1].value_counts()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 6. Búsqueda del mejor parámetro contaminación"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Para utilizar de manera sencilla las técnicas estándar de búsqueda de hiperparámteros de sklearn, el estimador debe devolver un valor entre 0 y 1, sin embargo, la predicción de IsolationForest se encuentra comprendida entre -1 (ejemplo anómalo) y 1 (ejemplo normal). Construimos un estimador personalizado para que devuelva este resultado."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Creamos nuestro propio estimador para que la salida del algoritmo este comprendida entre 0 y 1\n",
    "from sklearn.base import BaseEstimator\n",
    "\n",
    "class IsolationForestCustom(BaseEstimator):\n",
    "    def __init__(self, max_samples=100, contamination=0.1):\n",
    "        self.contamination = contamination\n",
    "        self.max_samples = max_samples\n",
    "        self._ift_clf = None\n",
    "        \n",
    "    def fit(self, X, y=None):\n",
    "        self._ift_clf = IsolationForest(max_samples=self.max_samples, \n",
    "                                        contamination=self.contamination)\n",
    "        self._ift_clf.fit(X) \n",
    "        return self\n",
    "    \n",
    "    def predict(self, X, y=None):\n",
    "        preds = self._ift_clf.predict(X)\n",
    "        preds[preds==1] = 0\n",
    "        preds[preds==-1] = 1\n",
    "        return preds\n",
    "    \n",
    "    def get_params(self, deep=True):\n",
    "        return {\"contamination\": self.contamination,\n",
    "               \"max_samples\": self.max_samples}\n",
    "\n",
    "    def set_params(self, **parameters):\n",
    "        for parameter, value in parameters.items():\n",
    "            setattr(self, parameter, value)\n",
    "        return self"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<style>#sk-container-id-3 {\n",
       "  /* Definition of color scheme common for light and dark mode */\n",
       "  --sklearn-color-text: black;\n",
       "  --sklearn-color-line: gray;\n",
       "  /* Definition of color scheme for unfitted estimators */\n",
       "  --sklearn-color-unfitted-level-0: #fff5e6;\n",
       "  --sklearn-color-unfitted-level-1: #f6e4d2;\n",
       "  --sklearn-color-unfitted-level-2: #ffe0b3;\n",
       "  --sklearn-color-unfitted-level-3: chocolate;\n",
       "  /* Definition of color scheme for fitted estimators */\n",
       "  --sklearn-color-fitted-level-0: #f0f8ff;\n",
       "  --sklearn-color-fitted-level-1: #d4ebff;\n",
       "  --sklearn-color-fitted-level-2: #b3dbfd;\n",
       "  --sklearn-color-fitted-level-3: cornflowerblue;\n",
       "\n",
       "  /* Specific color for light theme */\n",
       "  --sklearn-color-text-on-default-background: var(--sg-text-color, var(--theme-code-foreground, var(--jp-content-font-color1, black)));\n",
       "  --sklearn-color-background: var(--sg-background-color, var(--theme-background, var(--jp-layout-color0, white)));\n",
       "  --sklearn-color-border-box: var(--sg-text-color, var(--theme-code-foreground, var(--jp-content-font-color1, black)));\n",
       "  --sklearn-color-icon: #696969;\n",
       "\n",
       "  @media (prefers-color-scheme: dark) {\n",
       "    /* Redefinition of color scheme for dark theme */\n",
       "    --sklearn-color-text-on-default-background: var(--sg-text-color, var(--theme-code-foreground, var(--jp-content-font-color1, white)));\n",
       "    --sklearn-color-background: var(--sg-background-color, var(--theme-background, var(--jp-layout-color0, #111)));\n",
       "    --sklearn-color-border-box: var(--sg-text-color, var(--theme-code-foreground, var(--jp-content-font-color1, white)));\n",
       "    --sklearn-color-icon: #878787;\n",
       "  }\n",
       "}\n",
       "\n",
       "#sk-container-id-3 {\n",
       "  color: var(--sklearn-color-text);\n",
       "}\n",
       "\n",
       "#sk-container-id-3 pre {\n",
       "  padding: 0;\n",
       "}\n",
       "\n",
       "#sk-container-id-3 input.sk-hidden--visually {\n",
       "  border: 0;\n",
       "  clip: rect(1px 1px 1px 1px);\n",
       "  clip: rect(1px, 1px, 1px, 1px);\n",
       "  height: 1px;\n",
       "  margin: -1px;\n",
       "  overflow: hidden;\n",
       "  padding: 0;\n",
       "  position: absolute;\n",
       "  width: 1px;\n",
       "}\n",
       "\n",
       "#sk-container-id-3 div.sk-dashed-wrapped {\n",
       "  border: 1px dashed var(--sklearn-color-line);\n",
       "  margin: 0 0.4em 0.5em 0.4em;\n",
       "  box-sizing: border-box;\n",
       "  padding-bottom: 0.4em;\n",
       "  background-color: var(--sklearn-color-background);\n",
       "}\n",
       "\n",
       "#sk-container-id-3 div.sk-container {\n",
       "  /* jupyter's `normalize.less` sets `[hidden] { display: none; }`\n",
       "     but bootstrap.min.css set `[hidden] { display: none !important; }`\n",
       "     so we also need the `!important` here to be able to override the\n",
       "     default hidden behavior on the sphinx rendered scikit-learn.org.\n",
       "     See: https://github.com/scikit-learn/scikit-learn/issues/21755 */\n",
       "  display: inline-block !important;\n",
       "  position: relative;\n",
       "}\n",
       "\n",
       "#sk-container-id-3 div.sk-text-repr-fallback {\n",
       "  display: none;\n",
       "}\n",
       "\n",
       "div.sk-parallel-item,\n",
       "div.sk-serial,\n",
       "div.sk-item {\n",
       "  /* draw centered vertical line to link estimators */\n",
       "  background-image: linear-gradient(var(--sklearn-color-text-on-default-background), var(--sklearn-color-text-on-default-background));\n",
       "  background-size: 2px 100%;\n",
       "  background-repeat: no-repeat;\n",
       "  background-position: center center;\n",
       "}\n",
       "\n",
       "/* Parallel-specific style estimator block */\n",
       "\n",
       "#sk-container-id-3 div.sk-parallel-item::after {\n",
       "  content: \"\";\n",
       "  width: 100%;\n",
       "  border-bottom: 2px solid var(--sklearn-color-text-on-default-background);\n",
       "  flex-grow: 1;\n",
       "}\n",
       "\n",
       "#sk-container-id-3 div.sk-parallel {\n",
       "  display: flex;\n",
       "  align-items: stretch;\n",
       "  justify-content: center;\n",
       "  background-color: var(--sklearn-color-background);\n",
       "  position: relative;\n",
       "}\n",
       "\n",
       "#sk-container-id-3 div.sk-parallel-item {\n",
       "  display: flex;\n",
       "  flex-direction: column;\n",
       "}\n",
       "\n",
       "#sk-container-id-3 div.sk-parallel-item:first-child::after {\n",
       "  align-self: flex-end;\n",
       "  width: 50%;\n",
       "}\n",
       "\n",
       "#sk-container-id-3 div.sk-parallel-item:last-child::after {\n",
       "  align-self: flex-start;\n",
       "  width: 50%;\n",
       "}\n",
       "\n",
       "#sk-container-id-3 div.sk-parallel-item:only-child::after {\n",
       "  width: 0;\n",
       "}\n",
       "\n",
       "/* Serial-specific style estimator block */\n",
       "\n",
       "#sk-container-id-3 div.sk-serial {\n",
       "  display: flex;\n",
       "  flex-direction: column;\n",
       "  align-items: center;\n",
       "  background-color: var(--sklearn-color-background);\n",
       "  padding-right: 1em;\n",
       "  padding-left: 1em;\n",
       "}\n",
       "\n",
       "\n",
       "/* Toggleable style: style used for estimator/Pipeline/ColumnTransformer box that is\n",
       "clickable and can be expanded/collapsed.\n",
       "- Pipeline and ColumnTransformer use this feature and define the default style\n",
       "- Estimators will overwrite some part of the style using the `sk-estimator` class\n",
       "*/\n",
       "\n",
       "/* Pipeline and ColumnTransformer style (default) */\n",
       "\n",
       "#sk-container-id-3 div.sk-toggleable {\n",
       "  /* Default theme specific background. It is overwritten whether we have a\n",
       "  specific estimator or a Pipeline/ColumnTransformer */\n",
       "  background-color: var(--sklearn-color-background);\n",
       "}\n",
       "\n",
       "/* Toggleable label */\n",
       "#sk-container-id-3 label.sk-toggleable__label {\n",
       "  cursor: pointer;\n",
       "  display: block;\n",
       "  width: 100%;\n",
       "  margin-bottom: 0;\n",
       "  padding: 0.5em;\n",
       "  box-sizing: border-box;\n",
       "  text-align: center;\n",
       "}\n",
       "\n",
       "#sk-container-id-3 label.sk-toggleable__label-arrow:before {\n",
       "  /* Arrow on the left of the label */\n",
       "  content: \"▸\";\n",
       "  float: left;\n",
       "  margin-right: 0.25em;\n",
       "  color: var(--sklearn-color-icon);\n",
       "}\n",
       "\n",
       "#sk-container-id-3 label.sk-toggleable__label-arrow:hover:before {\n",
       "  color: var(--sklearn-color-text);\n",
       "}\n",
       "\n",
       "/* Toggleable content - dropdown */\n",
       "\n",
       "#sk-container-id-3 div.sk-toggleable__content {\n",
       "  max-height: 0;\n",
       "  max-width: 0;\n",
       "  overflow: hidden;\n",
       "  text-align: left;\n",
       "  /* unfitted */\n",
       "  background-color: var(--sklearn-color-unfitted-level-0);\n",
       "}\n",
       "\n",
       "#sk-container-id-3 div.sk-toggleable__content.fitted {\n",
       "  /* fitted */\n",
       "  background-color: var(--sklearn-color-fitted-level-0);\n",
       "}\n",
       "\n",
       "#sk-container-id-3 div.sk-toggleable__content pre {\n",
       "  margin: 0.2em;\n",
       "  border-radius: 0.25em;\n",
       "  color: var(--sklearn-color-text);\n",
       "  /* unfitted */\n",
       "  background-color: var(--sklearn-color-unfitted-level-0);\n",
       "}\n",
       "\n",
       "#sk-container-id-3 div.sk-toggleable__content.fitted pre {\n",
       "  /* unfitted */\n",
       "  background-color: var(--sklearn-color-fitted-level-0);\n",
       "}\n",
       "\n",
       "#sk-container-id-3 input.sk-toggleable__control:checked~div.sk-toggleable__content {\n",
       "  /* Expand drop-down */\n",
       "  max-height: 200px;\n",
       "  max-width: 100%;\n",
       "  overflow: auto;\n",
       "}\n",
       "\n",
       "#sk-container-id-3 input.sk-toggleable__control:checked~label.sk-toggleable__label-arrow:before {\n",
       "  content: \"▾\";\n",
       "}\n",
       "\n",
       "/* Pipeline/ColumnTransformer-specific style */\n",
       "\n",
       "#sk-container-id-3 div.sk-label input.sk-toggleable__control:checked~label.sk-toggleable__label {\n",
       "  color: var(--sklearn-color-text);\n",
       "  background-color: var(--sklearn-color-unfitted-level-2);\n",
       "}\n",
       "\n",
       "#sk-container-id-3 div.sk-label.fitted input.sk-toggleable__control:checked~label.sk-toggleable__label {\n",
       "  background-color: var(--sklearn-color-fitted-level-2);\n",
       "}\n",
       "\n",
       "/* Estimator-specific style */\n",
       "\n",
       "/* Colorize estimator box */\n",
       "#sk-container-id-3 div.sk-estimator input.sk-toggleable__control:checked~label.sk-toggleable__label {\n",
       "  /* unfitted */\n",
       "  background-color: var(--sklearn-color-unfitted-level-2);\n",
       "}\n",
       "\n",
       "#sk-container-id-3 div.sk-estimator.fitted input.sk-toggleable__control:checked~label.sk-toggleable__label {\n",
       "  /* fitted */\n",
       "  background-color: var(--sklearn-color-fitted-level-2);\n",
       "}\n",
       "\n",
       "#sk-container-id-3 div.sk-label label.sk-toggleable__label,\n",
       "#sk-container-id-3 div.sk-label label {\n",
       "  /* The background is the default theme color */\n",
       "  color: var(--sklearn-color-text-on-default-background);\n",
       "}\n",
       "\n",
       "/* On hover, darken the color of the background */\n",
       "#sk-container-id-3 div.sk-label:hover label.sk-toggleable__label {\n",
       "  color: var(--sklearn-color-text);\n",
       "  background-color: var(--sklearn-color-unfitted-level-2);\n",
       "}\n",
       "\n",
       "/* Label box, darken color on hover, fitted */\n",
       "#sk-container-id-3 div.sk-label.fitted:hover label.sk-toggleable__label.fitted {\n",
       "  color: var(--sklearn-color-text);\n",
       "  background-color: var(--sklearn-color-fitted-level-2);\n",
       "}\n",
       "\n",
       "/* Estimator label */\n",
       "\n",
       "#sk-container-id-3 div.sk-label label {\n",
       "  font-family: monospace;\n",
       "  font-weight: bold;\n",
       "  display: inline-block;\n",
       "  line-height: 1.2em;\n",
       "}\n",
       "\n",
       "#sk-container-id-3 div.sk-label-container {\n",
       "  text-align: center;\n",
       "}\n",
       "\n",
       "/* Estimator-specific */\n",
       "#sk-container-id-3 div.sk-estimator {\n",
       "  font-family: monospace;\n",
       "  border: 1px dotted var(--sklearn-color-border-box);\n",
       "  border-radius: 0.25em;\n",
       "  box-sizing: border-box;\n",
       "  margin-bottom: 0.5em;\n",
       "  /* unfitted */\n",
       "  background-color: var(--sklearn-color-unfitted-level-0);\n",
       "}\n",
       "\n",
       "#sk-container-id-3 div.sk-estimator.fitted {\n",
       "  /* fitted */\n",
       "  background-color: var(--sklearn-color-fitted-level-0);\n",
       "}\n",
       "\n",
       "/* on hover */\n",
       "#sk-container-id-3 div.sk-estimator:hover {\n",
       "  /* unfitted */\n",
       "  background-color: var(--sklearn-color-unfitted-level-2);\n",
       "}\n",
       "\n",
       "#sk-container-id-3 div.sk-estimator.fitted:hover {\n",
       "  /* fitted */\n",
       "  background-color: var(--sklearn-color-fitted-level-2);\n",
       "}\n",
       "\n",
       "/* Specification for estimator info (e.g. \"i\" and \"?\") */\n",
       "\n",
       "/* Common style for \"i\" and \"?\" */\n",
       "\n",
       ".sk-estimator-doc-link,\n",
       "a:link.sk-estimator-doc-link,\n",
       "a:visited.sk-estimator-doc-link {\n",
       "  float: right;\n",
       "  font-size: smaller;\n",
       "  line-height: 1em;\n",
       "  font-family: monospace;\n",
       "  background-color: var(--sklearn-color-background);\n",
       "  border-radius: 1em;\n",
       "  height: 1em;\n",
       "  width: 1em;\n",
       "  text-decoration: none !important;\n",
       "  margin-left: 1ex;\n",
       "  /* unfitted */\n",
       "  border: var(--sklearn-color-unfitted-level-1) 1pt solid;\n",
       "  color: var(--sklearn-color-unfitted-level-1);\n",
       "}\n",
       "\n",
       ".sk-estimator-doc-link.fitted,\n",
       "a:link.sk-estimator-doc-link.fitted,\n",
       "a:visited.sk-estimator-doc-link.fitted {\n",
       "  /* fitted */\n",
       "  border: var(--sklearn-color-fitted-level-1) 1pt solid;\n",
       "  color: var(--sklearn-color-fitted-level-1);\n",
       "}\n",
       "\n",
       "/* On hover */\n",
       "div.sk-estimator:hover .sk-estimator-doc-link:hover,\n",
       ".sk-estimator-doc-link:hover,\n",
       "div.sk-label-container:hover .sk-estimator-doc-link:hover,\n",
       ".sk-estimator-doc-link:hover {\n",
       "  /* unfitted */\n",
       "  background-color: var(--sklearn-color-unfitted-level-3);\n",
       "  color: var(--sklearn-color-background);\n",
       "  text-decoration: none;\n",
       "}\n",
       "\n",
       "div.sk-estimator.fitted:hover .sk-estimator-doc-link.fitted:hover,\n",
       ".sk-estimator-doc-link.fitted:hover,\n",
       "div.sk-label-container:hover .sk-estimator-doc-link.fitted:hover,\n",
       ".sk-estimator-doc-link.fitted:hover {\n",
       "  /* fitted */\n",
       "  background-color: var(--sklearn-color-fitted-level-3);\n",
       "  color: var(--sklearn-color-background);\n",
       "  text-decoration: none;\n",
       "}\n",
       "\n",
       "/* Span, style for the box shown on hovering the info icon */\n",
       ".sk-estimator-doc-link span {\n",
       "  display: none;\n",
       "  z-index: 9999;\n",
       "  position: relative;\n",
       "  font-weight: normal;\n",
       "  right: .2ex;\n",
       "  padding: .5ex;\n",
       "  margin: .5ex;\n",
       "  width: min-content;\n",
       "  min-width: 20ex;\n",
       "  max-width: 50ex;\n",
       "  color: var(--sklearn-color-text);\n",
       "  box-shadow: 2pt 2pt 4pt #999;\n",
       "  /* unfitted */\n",
       "  background: var(--sklearn-color-unfitted-level-0);\n",
       "  border: .5pt solid var(--sklearn-color-unfitted-level-3);\n",
       "}\n",
       "\n",
       ".sk-estimator-doc-link.fitted span {\n",
       "  /* fitted */\n",
       "  background: var(--sklearn-color-fitted-level-0);\n",
       "  border: var(--sklearn-color-fitted-level-3);\n",
       "}\n",
       "\n",
       ".sk-estimator-doc-link:hover span {\n",
       "  display: block;\n",
       "}\n",
       "\n",
       "/* \"?\"-specific style due to the `<a>` HTML tag */\n",
       "\n",
       "#sk-container-id-3 a.estimator_doc_link {\n",
       "  float: right;\n",
       "  font-size: 1rem;\n",
       "  line-height: 1em;\n",
       "  font-family: monospace;\n",
       "  background-color: var(--sklearn-color-background);\n",
       "  border-radius: 1rem;\n",
       "  height: 1rem;\n",
       "  width: 1rem;\n",
       "  text-decoration: none;\n",
       "  /* unfitted */\n",
       "  color: var(--sklearn-color-unfitted-level-1);\n",
       "  border: var(--sklearn-color-unfitted-level-1) 1pt solid;\n",
       "}\n",
       "\n",
       "#sk-container-id-3 a.estimator_doc_link.fitted {\n",
       "  /* fitted */\n",
       "  border: var(--sklearn-color-fitted-level-1) 1pt solid;\n",
       "  color: var(--sklearn-color-fitted-level-1);\n",
       "}\n",
       "\n",
       "/* On hover */\n",
       "#sk-container-id-3 a.estimator_doc_link:hover {\n",
       "  /* unfitted */\n",
       "  background-color: var(--sklearn-color-unfitted-level-3);\n",
       "  color: var(--sklearn-color-background);\n",
       "  text-decoration: none;\n",
       "}\n",
       "\n",
       "#sk-container-id-3 a.estimator_doc_link.fitted:hover {\n",
       "  /* fitted */\n",
       "  background-color: var(--sklearn-color-fitted-level-3);\n",
       "}\n",
       "</style><div id=\"sk-container-id-3\" class=\"sk-top-container\"><div class=\"sk-text-repr-fallback\"><pre>GridSearchCV(cv=2, estimator=IsolationForestCustom(),\n",
       "             param_grid={&#x27;contamination&#x27;: [0.001, 0.01, 0.1],\n",
       "                         &#x27;max_samples&#x27;: [100, 200, 300]},\n",
       "             return_train_score=True, scoring=&#x27;f1&#x27;)</pre><b>In a Jupyter environment, please rerun this cell to show the HTML representation or trust the notebook. <br />On GitHub, the HTML representation is unable to render, please try loading this page with nbviewer.org.</b></div><div class=\"sk-container\" hidden><div class=\"sk-item sk-dashed-wrapped\"><div class=\"sk-label-container\"><div class=\"sk-label fitted sk-toggleable\"><input class=\"sk-toggleable__control sk-hidden--visually\" id=\"sk-estimator-id-3\" type=\"checkbox\" ><label for=\"sk-estimator-id-3\" class=\"sk-toggleable__label fitted sk-toggleable__label-arrow fitted\">&nbsp;&nbsp;GridSearchCV<a class=\"sk-estimator-doc-link fitted\" rel=\"noreferrer\" target=\"_blank\" href=\"https://scikit-learn.org/1.4/modules/generated/sklearn.model_selection.GridSearchCV.html\">?<span>Documentation for GridSearchCV</span></a><span class=\"sk-estimator-doc-link fitted\">i<span>Fitted</span></span></label><div class=\"sk-toggleable__content fitted\"><pre>GridSearchCV(cv=2, estimator=IsolationForestCustom(),\n",
       "             param_grid={&#x27;contamination&#x27;: [0.001, 0.01, 0.1],\n",
       "                         &#x27;max_samples&#x27;: [100, 200, 300]},\n",
       "             return_train_score=True, scoring=&#x27;f1&#x27;)</pre></div> </div></div><div class=\"sk-parallel\"><div class=\"sk-parallel-item\"><div class=\"sk-item\"><div class=\"sk-label-container\"><div class=\"sk-label fitted sk-toggleable\"><input class=\"sk-toggleable__control sk-hidden--visually\" id=\"sk-estimator-id-4\" type=\"checkbox\" ><label for=\"sk-estimator-id-4\" class=\"sk-toggleable__label fitted sk-toggleable__label-arrow fitted\">estimator: IsolationForestCustom</label><div class=\"sk-toggleable__content fitted\"><pre>IsolationForestCustom()</pre></div> </div></div><div class=\"sk-serial\"><div class=\"sk-item\"><div class=\"sk-estimator fitted sk-toggleable\"><input class=\"sk-toggleable__control sk-hidden--visually\" id=\"sk-estimator-id-5\" type=\"checkbox\" ><label for=\"sk-estimator-id-5\" class=\"sk-toggleable__label fitted sk-toggleable__label-arrow fitted\">IsolationForestCustom</label><div class=\"sk-toggleable__content fitted\"><pre>IsolationForestCustom()</pre></div> </div></div></div></div></div></div></div></div></div>"
      ],
      "text/plain": [
       "GridSearchCV(cv=2, estimator=IsolationForestCustom(),\n",
       "             param_grid={'contamination': [0.001, 0.01, 0.1],\n",
       "                         'max_samples': [100, 200, 300]},\n",
       "             return_train_score=True, scoring='f1')"
      ]
     },
     "execution_count": 27,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "from sklearn.model_selection import GridSearchCV\n",
    "\n",
    "param_grid = {'max_samples': [100, 200, 300], 'contamination': [0.001, 0.01, 0.1]}\n",
    "\n",
    "ift_clf = IsolationForestCustom()\n",
    "\n",
    "# train across 5 folds, that's a total of 6*2=12 rounds of training \n",
    "grid_search = GridSearchCV(ift_clf, param_grid, cv=2,\n",
    "                           scoring='f1', return_train_score=True)\n",
    "\n",
    "grid_search.fit(X_reduced, y)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "0.0 {'contamination': 0.001, 'max_samples': 100}\n",
      "0.0 {'contamination': 0.001, 'max_samples': 200}\n",
      "0.15302352712424655 {'contamination': 0.001, 'max_samples': 300}\n",
      "0.24011777558289185 {'contamination': 0.01, 'max_samples': 100}\n",
      "0.2399036366277662 {'contamination': 0.01, 'max_samples': 200}\n",
      "0.23547825768399458 {'contamination': 0.01, 'max_samples': 300}\n",
      "0.031233418725835918 {'contamination': 0.1, 'max_samples': 100}\n",
      "0.031000133927885323 {'contamination': 0.1, 'max_samples': 200}\n",
      "0.03131593839772642 {'contamination': 0.1, 'max_samples': 300}\n"
     ]
    }
   ],
   "source": [
    "cvres = grid_search.cv_results_\n",
    "for mean_score, params in zip(cvres[\"mean_test_score\"], cvres[\"params\"]):\n",
    "    print(mean_score, params)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<style>#sk-container-id-4 {\n",
       "  /* Definition of color scheme common for light and dark mode */\n",
       "  --sklearn-color-text: black;\n",
       "  --sklearn-color-line: gray;\n",
       "  /* Definition of color scheme for unfitted estimators */\n",
       "  --sklearn-color-unfitted-level-0: #fff5e6;\n",
       "  --sklearn-color-unfitted-level-1: #f6e4d2;\n",
       "  --sklearn-color-unfitted-level-2: #ffe0b3;\n",
       "  --sklearn-color-unfitted-level-3: chocolate;\n",
       "  /* Definition of color scheme for fitted estimators */\n",
       "  --sklearn-color-fitted-level-0: #f0f8ff;\n",
       "  --sklearn-color-fitted-level-1: #d4ebff;\n",
       "  --sklearn-color-fitted-level-2: #b3dbfd;\n",
       "  --sklearn-color-fitted-level-3: cornflowerblue;\n",
       "\n",
       "  /* Specific color for light theme */\n",
       "  --sklearn-color-text-on-default-background: var(--sg-text-color, var(--theme-code-foreground, var(--jp-content-font-color1, black)));\n",
       "  --sklearn-color-background: var(--sg-background-color, var(--theme-background, var(--jp-layout-color0, white)));\n",
       "  --sklearn-color-border-box: var(--sg-text-color, var(--theme-code-foreground, var(--jp-content-font-color1, black)));\n",
       "  --sklearn-color-icon: #696969;\n",
       "\n",
       "  @media (prefers-color-scheme: dark) {\n",
       "    /* Redefinition of color scheme for dark theme */\n",
       "    --sklearn-color-text-on-default-background: var(--sg-text-color, var(--theme-code-foreground, var(--jp-content-font-color1, white)));\n",
       "    --sklearn-color-background: var(--sg-background-color, var(--theme-background, var(--jp-layout-color0, #111)));\n",
       "    --sklearn-color-border-box: var(--sg-text-color, var(--theme-code-foreground, var(--jp-content-font-color1, white)));\n",
       "    --sklearn-color-icon: #878787;\n",
       "  }\n",
       "}\n",
       "\n",
       "#sk-container-id-4 {\n",
       "  color: var(--sklearn-color-text);\n",
       "}\n",
       "\n",
       "#sk-container-id-4 pre {\n",
       "  padding: 0;\n",
       "}\n",
       "\n",
       "#sk-container-id-4 input.sk-hidden--visually {\n",
       "  border: 0;\n",
       "  clip: rect(1px 1px 1px 1px);\n",
       "  clip: rect(1px, 1px, 1px, 1px);\n",
       "  height: 1px;\n",
       "  margin: -1px;\n",
       "  overflow: hidden;\n",
       "  padding: 0;\n",
       "  position: absolute;\n",
       "  width: 1px;\n",
       "}\n",
       "\n",
       "#sk-container-id-4 div.sk-dashed-wrapped {\n",
       "  border: 1px dashed var(--sklearn-color-line);\n",
       "  margin: 0 0.4em 0.5em 0.4em;\n",
       "  box-sizing: border-box;\n",
       "  padding-bottom: 0.4em;\n",
       "  background-color: var(--sklearn-color-background);\n",
       "}\n",
       "\n",
       "#sk-container-id-4 div.sk-container {\n",
       "  /* jupyter's `normalize.less` sets `[hidden] { display: none; }`\n",
       "     but bootstrap.min.css set `[hidden] { display: none !important; }`\n",
       "     so we also need the `!important` here to be able to override the\n",
       "     default hidden behavior on the sphinx rendered scikit-learn.org.\n",
       "     See: https://github.com/scikit-learn/scikit-learn/issues/21755 */\n",
       "  display: inline-block !important;\n",
       "  position: relative;\n",
       "}\n",
       "\n",
       "#sk-container-id-4 div.sk-text-repr-fallback {\n",
       "  display: none;\n",
       "}\n",
       "\n",
       "div.sk-parallel-item,\n",
       "div.sk-serial,\n",
       "div.sk-item {\n",
       "  /* draw centered vertical line to link estimators */\n",
       "  background-image: linear-gradient(var(--sklearn-color-text-on-default-background), var(--sklearn-color-text-on-default-background));\n",
       "  background-size: 2px 100%;\n",
       "  background-repeat: no-repeat;\n",
       "  background-position: center center;\n",
       "}\n",
       "\n",
       "/* Parallel-specific style estimator block */\n",
       "\n",
       "#sk-container-id-4 div.sk-parallel-item::after {\n",
       "  content: \"\";\n",
       "  width: 100%;\n",
       "  border-bottom: 2px solid var(--sklearn-color-text-on-default-background);\n",
       "  flex-grow: 1;\n",
       "}\n",
       "\n",
       "#sk-container-id-4 div.sk-parallel {\n",
       "  display: flex;\n",
       "  align-items: stretch;\n",
       "  justify-content: center;\n",
       "  background-color: var(--sklearn-color-background);\n",
       "  position: relative;\n",
       "}\n",
       "\n",
       "#sk-container-id-4 div.sk-parallel-item {\n",
       "  display: flex;\n",
       "  flex-direction: column;\n",
       "}\n",
       "\n",
       "#sk-container-id-4 div.sk-parallel-item:first-child::after {\n",
       "  align-self: flex-end;\n",
       "  width: 50%;\n",
       "}\n",
       "\n",
       "#sk-container-id-4 div.sk-parallel-item:last-child::after {\n",
       "  align-self: flex-start;\n",
       "  width: 50%;\n",
       "}\n",
       "\n",
       "#sk-container-id-4 div.sk-parallel-item:only-child::after {\n",
       "  width: 0;\n",
       "}\n",
       "\n",
       "/* Serial-specific style estimator block */\n",
       "\n",
       "#sk-container-id-4 div.sk-serial {\n",
       "  display: flex;\n",
       "  flex-direction: column;\n",
       "  align-items: center;\n",
       "  background-color: var(--sklearn-color-background);\n",
       "  padding-right: 1em;\n",
       "  padding-left: 1em;\n",
       "}\n",
       "\n",
       "\n",
       "/* Toggleable style: style used for estimator/Pipeline/ColumnTransformer box that is\n",
       "clickable and can be expanded/collapsed.\n",
       "- Pipeline and ColumnTransformer use this feature and define the default style\n",
       "- Estimators will overwrite some part of the style using the `sk-estimator` class\n",
       "*/\n",
       "\n",
       "/* Pipeline and ColumnTransformer style (default) */\n",
       "\n",
       "#sk-container-id-4 div.sk-toggleable {\n",
       "  /* Default theme specific background. It is overwritten whether we have a\n",
       "  specific estimator or a Pipeline/ColumnTransformer */\n",
       "  background-color: var(--sklearn-color-background);\n",
       "}\n",
       "\n",
       "/* Toggleable label */\n",
       "#sk-container-id-4 label.sk-toggleable__label {\n",
       "  cursor: pointer;\n",
       "  display: block;\n",
       "  width: 100%;\n",
       "  margin-bottom: 0;\n",
       "  padding: 0.5em;\n",
       "  box-sizing: border-box;\n",
       "  text-align: center;\n",
       "}\n",
       "\n",
       "#sk-container-id-4 label.sk-toggleable__label-arrow:before {\n",
       "  /* Arrow on the left of the label */\n",
       "  content: \"▸\";\n",
       "  float: left;\n",
       "  margin-right: 0.25em;\n",
       "  color: var(--sklearn-color-icon);\n",
       "}\n",
       "\n",
       "#sk-container-id-4 label.sk-toggleable__label-arrow:hover:before {\n",
       "  color: var(--sklearn-color-text);\n",
       "}\n",
       "\n",
       "/* Toggleable content - dropdown */\n",
       "\n",
       "#sk-container-id-4 div.sk-toggleable__content {\n",
       "  max-height: 0;\n",
       "  max-width: 0;\n",
       "  overflow: hidden;\n",
       "  text-align: left;\n",
       "  /* unfitted */\n",
       "  background-color: var(--sklearn-color-unfitted-level-0);\n",
       "}\n",
       "\n",
       "#sk-container-id-4 div.sk-toggleable__content.fitted {\n",
       "  /* fitted */\n",
       "  background-color: var(--sklearn-color-fitted-level-0);\n",
       "}\n",
       "\n",
       "#sk-container-id-4 div.sk-toggleable__content pre {\n",
       "  margin: 0.2em;\n",
       "  border-radius: 0.25em;\n",
       "  color: var(--sklearn-color-text);\n",
       "  /* unfitted */\n",
       "  background-color: var(--sklearn-color-unfitted-level-0);\n",
       "}\n",
       "\n",
       "#sk-container-id-4 div.sk-toggleable__content.fitted pre {\n",
       "  /* unfitted */\n",
       "  background-color: var(--sklearn-color-fitted-level-0);\n",
       "}\n",
       "\n",
       "#sk-container-id-4 input.sk-toggleable__control:checked~div.sk-toggleable__content {\n",
       "  /* Expand drop-down */\n",
       "  max-height: 200px;\n",
       "  max-width: 100%;\n",
       "  overflow: auto;\n",
       "}\n",
       "\n",
       "#sk-container-id-4 input.sk-toggleable__control:checked~label.sk-toggleable__label-arrow:before {\n",
       "  content: \"▾\";\n",
       "}\n",
       "\n",
       "/* Pipeline/ColumnTransformer-specific style */\n",
       "\n",
       "#sk-container-id-4 div.sk-label input.sk-toggleable__control:checked~label.sk-toggleable__label {\n",
       "  color: var(--sklearn-color-text);\n",
       "  background-color: var(--sklearn-color-unfitted-level-2);\n",
       "}\n",
       "\n",
       "#sk-container-id-4 div.sk-label.fitted input.sk-toggleable__control:checked~label.sk-toggleable__label {\n",
       "  background-color: var(--sklearn-color-fitted-level-2);\n",
       "}\n",
       "\n",
       "/* Estimator-specific style */\n",
       "\n",
       "/* Colorize estimator box */\n",
       "#sk-container-id-4 div.sk-estimator input.sk-toggleable__control:checked~label.sk-toggleable__label {\n",
       "  /* unfitted */\n",
       "  background-color: var(--sklearn-color-unfitted-level-2);\n",
       "}\n",
       "\n",
       "#sk-container-id-4 div.sk-estimator.fitted input.sk-toggleable__control:checked~label.sk-toggleable__label {\n",
       "  /* fitted */\n",
       "  background-color: var(--sklearn-color-fitted-level-2);\n",
       "}\n",
       "\n",
       "#sk-container-id-4 div.sk-label label.sk-toggleable__label,\n",
       "#sk-container-id-4 div.sk-label label {\n",
       "  /* The background is the default theme color */\n",
       "  color: var(--sklearn-color-text-on-default-background);\n",
       "}\n",
       "\n",
       "/* On hover, darken the color of the background */\n",
       "#sk-container-id-4 div.sk-label:hover label.sk-toggleable__label {\n",
       "  color: var(--sklearn-color-text);\n",
       "  background-color: var(--sklearn-color-unfitted-level-2);\n",
       "}\n",
       "\n",
       "/* Label box, darken color on hover, fitted */\n",
       "#sk-container-id-4 div.sk-label.fitted:hover label.sk-toggleable__label.fitted {\n",
       "  color: var(--sklearn-color-text);\n",
       "  background-color: var(--sklearn-color-fitted-level-2);\n",
       "}\n",
       "\n",
       "/* Estimator label */\n",
       "\n",
       "#sk-container-id-4 div.sk-label label {\n",
       "  font-family: monospace;\n",
       "  font-weight: bold;\n",
       "  display: inline-block;\n",
       "  line-height: 1.2em;\n",
       "}\n",
       "\n",
       "#sk-container-id-4 div.sk-label-container {\n",
       "  text-align: center;\n",
       "}\n",
       "\n",
       "/* Estimator-specific */\n",
       "#sk-container-id-4 div.sk-estimator {\n",
       "  font-family: monospace;\n",
       "  border: 1px dotted var(--sklearn-color-border-box);\n",
       "  border-radius: 0.25em;\n",
       "  box-sizing: border-box;\n",
       "  margin-bottom: 0.5em;\n",
       "  /* unfitted */\n",
       "  background-color: var(--sklearn-color-unfitted-level-0);\n",
       "}\n",
       "\n",
       "#sk-container-id-4 div.sk-estimator.fitted {\n",
       "  /* fitted */\n",
       "  background-color: var(--sklearn-color-fitted-level-0);\n",
       "}\n",
       "\n",
       "/* on hover */\n",
       "#sk-container-id-4 div.sk-estimator:hover {\n",
       "  /* unfitted */\n",
       "  background-color: var(--sklearn-color-unfitted-level-2);\n",
       "}\n",
       "\n",
       "#sk-container-id-4 div.sk-estimator.fitted:hover {\n",
       "  /* fitted */\n",
       "  background-color: var(--sklearn-color-fitted-level-2);\n",
       "}\n",
       "\n",
       "/* Specification for estimator info (e.g. \"i\" and \"?\") */\n",
       "\n",
       "/* Common style for \"i\" and \"?\" */\n",
       "\n",
       ".sk-estimator-doc-link,\n",
       "a:link.sk-estimator-doc-link,\n",
       "a:visited.sk-estimator-doc-link {\n",
       "  float: right;\n",
       "  font-size: smaller;\n",
       "  line-height: 1em;\n",
       "  font-family: monospace;\n",
       "  background-color: var(--sklearn-color-background);\n",
       "  border-radius: 1em;\n",
       "  height: 1em;\n",
       "  width: 1em;\n",
       "  text-decoration: none !important;\n",
       "  margin-left: 1ex;\n",
       "  /* unfitted */\n",
       "  border: var(--sklearn-color-unfitted-level-1) 1pt solid;\n",
       "  color: var(--sklearn-color-unfitted-level-1);\n",
       "}\n",
       "\n",
       ".sk-estimator-doc-link.fitted,\n",
       "a:link.sk-estimator-doc-link.fitted,\n",
       "a:visited.sk-estimator-doc-link.fitted {\n",
       "  /* fitted */\n",
       "  border: var(--sklearn-color-fitted-level-1) 1pt solid;\n",
       "  color: var(--sklearn-color-fitted-level-1);\n",
       "}\n",
       "\n",
       "/* On hover */\n",
       "div.sk-estimator:hover .sk-estimator-doc-link:hover,\n",
       ".sk-estimator-doc-link:hover,\n",
       "div.sk-label-container:hover .sk-estimator-doc-link:hover,\n",
       ".sk-estimator-doc-link:hover {\n",
       "  /* unfitted */\n",
       "  background-color: var(--sklearn-color-unfitted-level-3);\n",
       "  color: var(--sklearn-color-background);\n",
       "  text-decoration: none;\n",
       "}\n",
       "\n",
       "div.sk-estimator.fitted:hover .sk-estimator-doc-link.fitted:hover,\n",
       ".sk-estimator-doc-link.fitted:hover,\n",
       "div.sk-label-container:hover .sk-estimator-doc-link.fitted:hover,\n",
       ".sk-estimator-doc-link.fitted:hover {\n",
       "  /* fitted */\n",
       "  background-color: var(--sklearn-color-fitted-level-3);\n",
       "  color: var(--sklearn-color-background);\n",
       "  text-decoration: none;\n",
       "}\n",
       "\n",
       "/* Span, style for the box shown on hovering the info icon */\n",
       ".sk-estimator-doc-link span {\n",
       "  display: none;\n",
       "  z-index: 9999;\n",
       "  position: relative;\n",
       "  font-weight: normal;\n",
       "  right: .2ex;\n",
       "  padding: .5ex;\n",
       "  margin: .5ex;\n",
       "  width: min-content;\n",
       "  min-width: 20ex;\n",
       "  max-width: 50ex;\n",
       "  color: var(--sklearn-color-text);\n",
       "  box-shadow: 2pt 2pt 4pt #999;\n",
       "  /* unfitted */\n",
       "  background: var(--sklearn-color-unfitted-level-0);\n",
       "  border: .5pt solid var(--sklearn-color-unfitted-level-3);\n",
       "}\n",
       "\n",
       ".sk-estimator-doc-link.fitted span {\n",
       "  /* fitted */\n",
       "  background: var(--sklearn-color-fitted-level-0);\n",
       "  border: var(--sklearn-color-fitted-level-3);\n",
       "}\n",
       "\n",
       ".sk-estimator-doc-link:hover span {\n",
       "  display: block;\n",
       "}\n",
       "\n",
       "/* \"?\"-specific style due to the `<a>` HTML tag */\n",
       "\n",
       "#sk-container-id-4 a.estimator_doc_link {\n",
       "  float: right;\n",
       "  font-size: 1rem;\n",
       "  line-height: 1em;\n",
       "  font-family: monospace;\n",
       "  background-color: var(--sklearn-color-background);\n",
       "  border-radius: 1rem;\n",
       "  height: 1rem;\n",
       "  width: 1rem;\n",
       "  text-decoration: none;\n",
       "  /* unfitted */\n",
       "  color: var(--sklearn-color-unfitted-level-1);\n",
       "  border: var(--sklearn-color-unfitted-level-1) 1pt solid;\n",
       "}\n",
       "\n",
       "#sk-container-id-4 a.estimator_doc_link.fitted {\n",
       "  /* fitted */\n",
       "  border: var(--sklearn-color-fitted-level-1) 1pt solid;\n",
       "  color: var(--sklearn-color-fitted-level-1);\n",
       "}\n",
       "\n",
       "/* On hover */\n",
       "#sk-container-id-4 a.estimator_doc_link:hover {\n",
       "  /* unfitted */\n",
       "  background-color: var(--sklearn-color-unfitted-level-3);\n",
       "  color: var(--sklearn-color-background);\n",
       "  text-decoration: none;\n",
       "}\n",
       "\n",
       "#sk-container-id-4 a.estimator_doc_link.fitted:hover {\n",
       "  /* fitted */\n",
       "  background-color: var(--sklearn-color-fitted-level-3);\n",
       "}\n",
       "</style><div id=\"sk-container-id-4\" class=\"sk-top-container\"><div class=\"sk-text-repr-fallback\"><pre>IsolationForestCustom(contamination=0.01)</pre><b>In a Jupyter environment, please rerun this cell to show the HTML representation or trust the notebook. <br />On GitHub, the HTML representation is unable to render, please try loading this page with nbviewer.org.</b></div><div class=\"sk-container\" hidden><div class=\"sk-item\"><div class=\"sk-estimator  sk-toggleable\"><input class=\"sk-toggleable__control sk-hidden--visually\" id=\"sk-estimator-id-6\" type=\"checkbox\" checked><label for=\"sk-estimator-id-6\" class=\"sk-toggleable__label  sk-toggleable__label-arrow \">&nbsp;IsolationForestCustom<span class=\"sk-estimator-doc-link \">i<span>Not fitted</span></span></label><div class=\"sk-toggleable__content \"><pre>IsolationForestCustom(contamination=0.01)</pre></div> </div></div></div></div>"
      ],
      "text/plain": [
       "IsolationForestCustom(contamination=0.01)"
      ]
     },
     "execution_count": 29,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "grid_search.best_estimator_"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
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