20_Distribución Gaussiana - Detección de transacciones bancarias fraudulentas.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "<a href=\"https://colab.research.google.com/drive/1HJlKg2uve_1qx4v-gB0zuZDR2zNjF3iK\">Abre este Jupyter en Google Colab</a>"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Caso Práctico: Distribución Gaussiana"
   ]
  },
  {
   "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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       "      <th></th>\n",
       "      <th>Time</th>\n",
       "      <th>V1</th>\n",
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       "      <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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       "   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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",
      "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. Distribución Gaussiana con un conjunto de datos de dos dimensiones"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Antes de comenzar con la detección de anomalías mediante distribución Gaussiana 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>GaussianMixture(n_components=2, random_state=42)</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;GaussianMixture<a class=\"sk-estimator-doc-link fitted\" rel=\"noreferrer\" target=\"_blank\" href=\"https://scikit-learn.org/1.4/modules/generated/sklearn.mixture.GaussianMixture.html\">?<span>Documentation for GaussianMixture</span></a><span class=\"sk-estimator-doc-link fitted\">i<span>Fitted</span></span></label><div class=\"sk-toggleable__content fitted\"><pre>GaussianMixture(n_components=2, random_state=42)</pre></div> </div></div></div></div>"
      ],
      "text/plain": [
       "GaussianMixture(n_components=2, random_state=42)"
      ]
     },
     "execution_count": 16,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "from sklearn.mixture import GaussianMixture\n",
    "\n",
    "gm = GaussianMixture(n_components=2, random_state=42)\n",
    "gm.fit(X_reduced)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "**Representación del límite de decisión**"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [],
   "source": [
    "def plot_gaussian_mixture(clusterer, 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",
    "    Z = -clusterer.score_samples(np.c_[xx.ravel(), yy.ravel()])\n",
    "    Z = Z.reshape(xx.shape)\n",
    "\n",
    "    plt.contourf(xx, yy, Z,\n",
    "                 norm=LogNorm(vmin=1.0, vmax=30.0),\n",
    "                 levels=np.logspace(0, 2, 12))\n",
    "    plt.contour(xx, yy, Z,\n",
    "                norm=LogNorm(vmin=1.0, vmax=30.0),\n",
    "                levels=np.logspace(0, 2, 12),\n",
    "                linewidths=1, colors='k')\n",
    "\n",
    "    Z = clusterer.predict(np.c_[xx.ravel(), yy.ravel()])\n",
    "    Z = Z.reshape(xx.shape)\n",
    "    \n",
    "    plt.plot(X[:, 0][y==0], X[:, 1][y==0], 'k.', markersize=2)\n",
    "    plt.plot(X[:, 0][y==1], X[:, 1][y==1], 'r.', markersize=2)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<Figure size 1400x600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(14, 6))\n",
    "plot_gaussian_mixture(gm, 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": "markdown",
   "metadata": {},
   "source": [
    "Para la identificación de las anomalías, se debe seleccionar un threshold a partir del cual, todos los ejemplos que se encuentren en regiones con una densidad menor a la indicada en el threshold, se consideran anomalías."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Threshold seleccionado: -22.900551415819525\n"
     ]
    }
   ],
   "source": [
    "# Selección del Threshold\n",
    "densities = gm.score_samples(X_reduced)\n",
    "density_threshold = np.percentile(densities, 0.03)\n",
    "print(\"Threshold seleccionado:\", density_threshold)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Identificación de anomalías\n",
    "anomalies = X_reduced.values[densities < density_threshold]"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "En la gráfica que se muestra a continuación, aparecen resltadas en verde las anomalías identificadas para el conjunto de datos de entrenamiento y el valor del threshold seleccionado anteriormente."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "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(anomalies[:, 0], anomalies[:, 1], 'go', markersize=4)\n",
    "plot_gaussian_mixture(gm, 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": 22,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Comparación de cuantas anomalías se correspondían con ejemplos fraudulentos\n",
    "y_preds = (densities < density_threshold)\n",
    "y_preds[y_preds == False] = 0\n",
    "y_preds[y_preds == True] = 1"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Class\n",
       "0    284315\n",
       "1       492\n",
       "Name: count, dtype: int64"
      ]
     },
     "execution_count": 23,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Clases originales\n",
    "y.value_counts()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Class\n",
       "1    75\n",
       "0    11\n",
       "Name: count, dtype: int64"
      ]
     },
     "execution_count": 24,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Casos identificados como anomalías etiquetados como negativos (0) y positivos (1)\n",
    "y[y_preds==1].value_counts()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 5. Distribución Gaussiana con un conjunto de datos multidimensional"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "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>GaussianMixture(n_components=2, random_state=42)</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;GaussianMixture<a class=\"sk-estimator-doc-link fitted\" rel=\"noreferrer\" target=\"_blank\" href=\"https://scikit-learn.org/1.4/modules/generated/sklearn.mixture.GaussianMixture.html\">?<span>Documentation for GaussianMixture</span></a><span class=\"sk-estimator-doc-link fitted\">i<span>Fitted</span></span></label><div class=\"sk-toggleable__content fitted\"><pre>GaussianMixture(n_components=2, random_state=42)</pre></div> </div></div></div></div>"
      ],
      "text/plain": [
       "GaussianMixture(n_components=2, random_state=42)"
      ]
     },
     "execution_count": 25,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Entrenamiento del modelo\n",
    "gm = GaussianMixture(n_components=2, random_state=42)\n",
    "gm.fit(X)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Threshold seleccionado: -410.3849023507291\n"
     ]
    }
   ],
   "source": [
    "# Selección del Threshold\n",
    "densities = gm.score_samples(X)\n",
    "density_threshold = np.percentile(densities, 0.1)\n",
    "print(\"Threshold seleccionado:\", density_threshold)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Comparación de cuantas anomalías se correspondían con ejemplos fraudulentos\n",
    "y_preds = (densities < -470)\n",
    "y_preds[y_preds == False] = 0\n",
    "y_preds[y_preds == True] = 1"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Class\n",
       "0    135\n",
       "1    100\n",
       "Name: count, dtype: int64"
      ]
     },
     "execution_count": 28,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Casos identificados como anomalías etiquetados como negativos (0) y positivos (1)\n",
    "y[y_preds==1].value_counts()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 6. Búsqueda del mejor Threshold"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Existen varias formas de realizar la búsqueda del Threshold automáticamente:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "metadata": {},
   "outputs": [],
   "source": [
    "from sklearn.base import BaseEstimator\n",
    "\n",
    "class GaussianAnomalyDetector(BaseEstimator):\n",
    "    def __init__(self, threshold=1):\n",
    "        self._threshold = threshold\n",
    "        self._gm = None\n",
    "    def fit(self, X, y=None):\n",
    "        self._gm = GaussianMixture(n_components=2, n_init=10, random_state=42)\n",
    "        self._gm.fit(X) \n",
    "        return self\n",
    "    \n",
    "    def predict(self, X, y=None):\n",
    "        densities = self._gm.score_samples(X)\n",
    "        y_preds = (densities < self._threshold)\n",
    "        y_preds[y_preds == False] = 0\n",
    "        y_preds[y_preds == True] = 1\n",
    "        return y_preds\n",
    "    \n",
    "    def get_params(self, deep=True):\n",
    "        return {\"threshold\": self._threshold}\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": 30,
   "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>RandomizedSearchCV(cv=3, estimator=GaussianAnomalyDetector(), n_iter=5,\n",
       "                   param_distributions={&#x27;threshold&#x27;: &lt;scipy.stats._distn_infrastructure.rv_continuous_frozen object at 0x000001D48A266610&gt;},\n",
       "                   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;RandomizedSearchCV<a class=\"sk-estimator-doc-link fitted\" rel=\"noreferrer\" target=\"_blank\" href=\"https://scikit-learn.org/1.4/modules/generated/sklearn.model_selection.RandomizedSearchCV.html\">?<span>Documentation for RandomizedSearchCV</span></a><span class=\"sk-estimator-doc-link fitted\">i<span>Fitted</span></span></label><div class=\"sk-toggleable__content fitted\"><pre>RandomizedSearchCV(cv=3, estimator=GaussianAnomalyDetector(), n_iter=5,\n",
       "                   param_distributions={&#x27;threshold&#x27;: &lt;scipy.stats._distn_infrastructure.rv_continuous_frozen object at 0x000001D48A266610&gt;},\n",
       "                   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: GaussianAnomalyDetector</label><div class=\"sk-toggleable__content fitted\"><pre>GaussianAnomalyDetector()</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\">GaussianAnomalyDetector</label><div class=\"sk-toggleable__content fitted\"><pre>GaussianAnomalyDetector()</pre></div> </div></div></div></div></div></div></div></div></div>"
      ],
      "text/plain": [
       "RandomizedSearchCV(cv=3, estimator=GaussianAnomalyDetector(), n_iter=5,\n",
       "                   param_distributions={'threshold': <scipy.stats._distn_infrastructure.rv_continuous_frozen object at 0x000001D48A266610>},\n",
       "                   scoring='f1')"
      ]
     },
     "execution_count": 30,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "from sklearn.model_selection import RandomizedSearchCV\n",
    "from scipy.stats import uniform\n",
    "\n",
    "gad = GaussianAnomalyDetector()\n",
    "\n",
    "param_distribs = {\n",
    "    # Utiliza 'uniform' para distribuciones continuas. \n",
    "    # 'loc' es el inicio del rango y 'scale' es la anchura del rango (el total de valores en el rango).\n",
    "    'threshold': uniform(loc=0.01, scale=4.99),\n",
    "}\n",
    "\n",
    "# Configuración de RandomizedSearchCV (5*3=15 rondas de entrenamiento)\n",
    "rnd_search = RandomizedSearchCV(gad, param_distributions=param_distribs,\n",
    "                                n_iter=5, cv=3, scoring='f1')\n",
    "\n",
    "# Entrenamiento del modelo\n",
    "rnd_search.fit(X, y)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "0.005938965991800008 {'threshold': 4.296838862550599}\n",
      "0.005938965991800008 {'threshold': 0.42078038597687645}\n",
      "0.005938965991800008 {'threshold': 2.0240071979446483}\n",
      "0.005938965991800008 {'threshold': 4.705462330815801}\n",
      "0.005938965991800008 {'threshold': 3.8361622822270416}\n"
     ]
    }
   ],
   "source": [
    "cvres = rnd_search.cv_results_\n",
    "for mean_score, params in zip(cvres[\"mean_test_score\"], cvres[\"params\"]):\n",
    "    print(mean_score, params)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "La forma mostrada anteriormente es la más estándar a la hora de realizar la búsqueda, pero también es la más ineficiente. Con el método anterior se requiere entrenar el modelo 15 veces (con los parámetro indicados). \n",
    "\n",
    "Con la forma que se muestra a continuación solo es necesario entrenar el modelo una única vez."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "metadata": {},
   "outputs": [],
   "source": [
    "from sklearn.metrics import precision_score\n",
    "\n",
    "def select_threshold(list_thds, densities, y):\n",
    "    best_prec = 0\n",
    "    best_threshold = 0\n",
    "    i = 0\n",
    "    for thd in list_thds:\n",
    "        i += 1\n",
    "        print(\"\\rSearching best threshold {0}%\".format(\n",
    "            int((i + 1) / len(list_thds) * 100)), end='')\n",
    "        preds = (densities < thd)\n",
    "        preds[preds == False] = 0\n",
    "        preds[preds == True] = 1\n",
    "        precision = precision_score(y, preds)\n",
    "        if precision > best_prec:\n",
    "            best_prec = precision\n",
    "            best_threshold = thd\n",
    "    return (best_prec, best_threshold)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Searching best threshold 100%"
     ]
    },
    {
     "data": {
      "text/plain": [
       "(0.425531914893617, -470)"
      ]
     },
     "execution_count": 33,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "select_threshold(np.arange(-600, -300, 1), densities, y)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
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