--- a
+++ b/notebooks/modeling_KNN.ipynb
@@ -0,0 +1,2079 @@
+{
+ "cells": [
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "# Importation des librairies nécessaires"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 1,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "import matplotlib.pyplot as plt\n",
+    "import seaborn as sns\n",
+    "import numpy as np\n",
+    "import pandas as pd\n",
+    "\n",
+    "# SCIKIT-LEARN: SELECTION DE VARIABLES\n",
+    "\n",
+    "from sklearn.feature_selection import SelectKBest\n",
+    "from sklearn.feature_selection import chi2, f_classif\n",
+    "from sklearn.ensemble import RandomForestClassifier\n",
+    "\n",
+    "# SCIKIT-LEARN: PRE-PROCESSING\n",
+    "from sklearn.preprocessing import LabelEncoder, OrdinalEncoder # Encodage des variables catégorielles ordinales\n",
+    "from sklearn.preprocessing import LabelBinarizer, OneHotEncoder # Encodage des variables catégorielles nominales\n",
+    "from sklearn.preprocessing import StandardScaler # Normalisation des variables numériques\n",
+    "from sklearn.preprocessing import MinMaxScaler\n",
+    "from sklearn.preprocessing import RobustScaler\n",
+    "from sklearn.preprocessing import label_binarize\n",
+    "from sklearn.compose import ColumnTransformer\n",
+    "from sklearn.impute import SimpleImputer # Imputation\n",
+    "from sklearn.impute import KNNImputer \n",
+    "from sklearn_pandas import DataFrameMapper\n",
+    "from sklearn.decomposition import PCA\n",
+    "\n",
+    "# SCIKIT-LEARN: MODELES\n",
+    "from sklearn.linear_model import LogisticRegression, RidgeClassifier, Lasso, ElasticNet\n",
+    "from sklearn.metrics import f1_score, accuracy_score, classification_report, confusion_matrix, recall_score, precision_score, roc_curve, auc\n",
+    "from sklearn.neighbors import KNeighborsClassifier\n",
+    "\n",
+    "# SMOTE\n",
+    "from imblearn.over_sampling import SMOTE\n",
+    "\n",
+    "# SCIKIT-LEARN: VALIDATION CROISEE + OPTIMISATION\n",
+    "from sklearn.model_selection import train_test_split # Séparer en données train et test\n",
+    "from sklearn.model_selection import cross_val_score # Validation croisée pour comparison entre modèles\n",
+    "from sklearn.model_selection import validation_curve # Courbe de validation : visulaisr des scores lors du choix d'un hyper-paramètre\n",
+    "from sklearn.model_selection import GridSearchCV # Tester plusieurs hyper-paramètres\n",
+    "from sklearn.model_selection import learning_curve # Courbe d'apprentissage : visualisation des scores du train et du validation sets en fonction des quanitiés des données\n",
+    "import optuna\n",
+    " \n",
+    "## EVALUATION\n",
+    "from sklearn.metrics import accuracy_score\n",
+    "from sklearn.metrics import f1_score\n",
+    "from sklearn.metrics import confusion_matrix\n",
+    "from sklearn.metrics import ConfusionMatrixDisplay\n",
+    "from sklearn.metrics import classification_report\n",
+    "\n",
+    "# SCHIKIT-LEARN: PIPELINE AND TRANSFORMATEURll\n",
+    "from sklearn.pipeline import make_pipeline\n",
+    "from sklearn.compose import make_column_transformer\n",
+    "from sklearn.pipeline import Pipeline\n",
+    "\n",
+    "# YELLOWBRICK\n",
+    "from yellowbrick.model_selection import LearningCurve\n",
+    "from yellowbrick.model_selection import ValidationCurve"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "# Importation des modules"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 2,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Configuration du chemin d'accès\n",
+    "import sys\n",
+    "import os\n",
+    "sys.path.append(os.path.abspath(os.path.join('..', 'src')))\n",
+    "\n",
+    "# Importations des modules nécessaires\n",
+    "import data_loader\n",
+    "import preprocessing\n",
+    "import modeling\n",
+    "import evaluation\n",
+    "import cleaning"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "# Chargement des données"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 3,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Distribution des classes dans le dataset équilibré :\n",
+      "SMK_stat_type_cd\n",
+      "1.0    174951\n",
+      "2.0    174951\n",
+      "3.0    174951\n",
+      "Name: count, dtype: int64\n"
+     ]
+    }
+   ],
+   "source": [
+    "data_path = '../data/smoking_driking_dataset_Ver01.csv'\n",
+    "target_column = 'SMK_stat_type_cd' \n",
+    "output_path = '../data/balanced_smoking_drinking_dataset.csv'\n",
+    "\n",
+    "# Équilibrer le dataset\n",
+    "df_balanced = data_loader.balance_dataset(data_path, target_column, output_path)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 35,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# def reduce_dataset(data_path, target_column, output_path, train_size=100000, random_state=42):\n",
+    "#     \"\"\"\n",
+    "#     Réduit le dataset à un nombre spécifié de lignes tout en conservant les proportions des classes.\n",
+    "    \n",
+    "#     Parameters:\n",
+    "#     - data_path (str): Le chemin du fichier CSV à charger.\n",
+    "#     - target_column (str): Le nom de la colonne cible pour le stratified sampling.\n",
+    "#     - output_path (str): Le chemin du fichier CSV où sauvegarder le dataset réduit.\n",
+    "#     - train_size (int): Le nombre total de lignes du dataset réduit (par défaut 100 000).\n",
+    "#     - random_state (int): La graine aléatoire pour la reproductibilité (par défaut 42).\n",
+    "#     \"\"\"\n",
+    "#     # Charger les données\n",
+    "#     df = pd.read_csv(data_path)\n",
+    "    \n",
+    "#     # Calculer la taille relative de l'échantillon\n",
+    "#     relative_train_size = train_size / len(df)\n",
+    "    \n",
+    "#     # Réduire le dataset à la taille spécifiée en utilisant un échantillonnage stratifié\n",
+    "#     df_reduced, _ = train_test_split(df, stratify=df[target_column], train_size=relative_train_size, random_state=random_state)\n",
+    "    \n",
+    "#     # Sauvegarder le nouveau dataset\n",
+    "#     df_reduced.to_csv(output_path, index=False)\n",
+    "    \n",
+    "#     # Vérifier la distribution des classes dans le nouvel ensemble de données\n",
+    "#     distribution = df_reduced[target_column].value_counts()\n",
+    "#     print(\"Distribution des classes dans le dataset réduit :\")\n",
+    "#     print(distribution)\n",
+    "    \n",
+    "#     return df_reduced"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 36,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# # Réduire le dataset qui a été équilibré en amont\n",
+    "# data_path = '../data/balanced_smoking_drinking_dataset.csv'\n",
+    "# output_path = '../data/reduced_balanced_smoking_drinking_dataset.csv'\n",
+    "# df_reduced = reduce_dataset(data_path, target_column, output_path, train_size=200000)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "# Nettoyage des données"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## Type des variables"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 4,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "intToFloat = ['age', 'height', 'weight']\n",
+    "floatToInt = ['hear_left', 'hear_right', 'urine_protein', 'SMK_stat_type_cd']"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 5,
+   "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>sex</th>\n",
+       "      <th>age</th>\n",
+       "      <th>height</th>\n",
+       "      <th>weight</th>\n",
+       "      <th>waistline</th>\n",
+       "      <th>sight_left</th>\n",
+       "      <th>sight_right</th>\n",
+       "      <th>hear_left</th>\n",
+       "      <th>hear_right</th>\n",
+       "      <th>SBP</th>\n",
+       "      <th>...</th>\n",
+       "      <th>LDL_chole</th>\n",
+       "      <th>triglyceride</th>\n",
+       "      <th>hemoglobin</th>\n",
+       "      <th>urine_protein</th>\n",
+       "      <th>serum_creatinine</th>\n",
+       "      <th>SGOT_AST</th>\n",
+       "      <th>SGOT_ALT</th>\n",
+       "      <th>gamma_GTP</th>\n",
+       "      <th>SMK_stat_type_cd</th>\n",
+       "      <th>DRK_YN</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>Female</td>\n",
+       "      <td>70.0</td>\n",
+       "      <td>155.0</td>\n",
+       "      <td>40.0</td>\n",
+       "      <td>61.0</td>\n",
+       "      <td>0.9</td>\n",
+       "      <td>0.9</td>\n",
+       "      <td>1</td>\n",
+       "      <td>1</td>\n",
+       "      <td>124.0</td>\n",
+       "      <td>...</td>\n",
+       "      <td>141.0</td>\n",
+       "      <td>63.0</td>\n",
+       "      <td>13.2</td>\n",
+       "      <td>2</td>\n",
+       "      <td>0.8</td>\n",
+       "      <td>30.0</td>\n",
+       "      <td>9.0</td>\n",
+       "      <td>24.0</td>\n",
+       "      <td>1</td>\n",
+       "      <td>N</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>Male</td>\n",
+       "      <td>75.0</td>\n",
+       "      <td>160.0</td>\n",
+       "      <td>65.0</td>\n",
+       "      <td>82.0</td>\n",
+       "      <td>0.5</td>\n",
+       "      <td>0.5</td>\n",
+       "      <td>2</td>\n",
+       "      <td>2</td>\n",
+       "      <td>177.0</td>\n",
+       "      <td>...</td>\n",
+       "      <td>88.0</td>\n",
+       "      <td>116.0</td>\n",
+       "      <td>13.3</td>\n",
+       "      <td>4</td>\n",
+       "      <td>0.9</td>\n",
+       "      <td>18.0</td>\n",
+       "      <td>28.0</td>\n",
+       "      <td>29.0</td>\n",
+       "      <td>1</td>\n",
+       "      <td>N</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>Female</td>\n",
+       "      <td>45.0</td>\n",
+       "      <td>150.0</td>\n",
+       "      <td>55.0</td>\n",
+       "      <td>81.0</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>1</td>\n",
+       "      <td>1</td>\n",
+       "      <td>175.0</td>\n",
+       "      <td>...</td>\n",
+       "      <td>201.0</td>\n",
+       "      <td>104.0</td>\n",
+       "      <td>13.8</td>\n",
+       "      <td>1</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>29.0</td>\n",
+       "      <td>25.0</td>\n",
+       "      <td>18.0</td>\n",
+       "      <td>1</td>\n",
+       "      <td>N</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3</th>\n",
+       "      <td>Female</td>\n",
+       "      <td>70.0</td>\n",
+       "      <td>155.0</td>\n",
+       "      <td>65.0</td>\n",
+       "      <td>85.0</td>\n",
+       "      <td>0.8</td>\n",
+       "      <td>0.7</td>\n",
+       "      <td>1</td>\n",
+       "      <td>1</td>\n",
+       "      <td>166.0</td>\n",
+       "      <td>...</td>\n",
+       "      <td>147.0</td>\n",
+       "      <td>169.0</td>\n",
+       "      <td>11.4</td>\n",
+       "      <td>1</td>\n",
+       "      <td>0.9</td>\n",
+       "      <td>28.0</td>\n",
+       "      <td>24.0</td>\n",
+       "      <td>20.0</td>\n",
+       "      <td>1</td>\n",
+       "      <td>Y</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4</th>\n",
+       "      <td>Female</td>\n",
+       "      <td>45.0</td>\n",
+       "      <td>155.0</td>\n",
+       "      <td>55.0</td>\n",
+       "      <td>75.5</td>\n",
+       "      <td>0.7</td>\n",
+       "      <td>0.9</td>\n",
+       "      <td>1</td>\n",
+       "      <td>1</td>\n",
+       "      <td>95.0</td>\n",
+       "      <td>...</td>\n",
+       "      <td>123.0</td>\n",
+       "      <td>176.0</td>\n",
+       "      <td>12.7</td>\n",
+       "      <td>1</td>\n",
+       "      <td>0.8</td>\n",
+       "      <td>23.0</td>\n",
+       "      <td>23.0</td>\n",
+       "      <td>29.0</td>\n",
+       "      <td>1</td>\n",
+       "      <td>N</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>...</th>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>524848</th>\n",
+       "      <td>Male</td>\n",
+       "      <td>35.0</td>\n",
+       "      <td>170.0</td>\n",
+       "      <td>65.0</td>\n",
+       "      <td>80.2</td>\n",
+       "      <td>0.7</td>\n",
+       "      <td>0.6</td>\n",
+       "      <td>1</td>\n",
+       "      <td>1</td>\n",
+       "      <td>120.0</td>\n",
+       "      <td>...</td>\n",
+       "      <td>55.0</td>\n",
+       "      <td>51.0</td>\n",
+       "      <td>14.1</td>\n",
+       "      <td>1</td>\n",
+       "      <td>0.5</td>\n",
+       "      <td>24.0</td>\n",
+       "      <td>31.0</td>\n",
+       "      <td>47.0</td>\n",
+       "      <td>3</td>\n",
+       "      <td>Y</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>524849</th>\n",
+       "      <td>Male</td>\n",
+       "      <td>40.0</td>\n",
+       "      <td>175.0</td>\n",
+       "      <td>60.0</td>\n",
+       "      <td>74.0</td>\n",
+       "      <td>1.2</td>\n",
+       "      <td>0.8</td>\n",
+       "      <td>1</td>\n",
+       "      <td>1</td>\n",
+       "      <td>122.0</td>\n",
+       "      <td>...</td>\n",
+       "      <td>109.0</td>\n",
+       "      <td>125.0</td>\n",
+       "      <td>14.8</td>\n",
+       "      <td>1</td>\n",
+       "      <td>1.2</td>\n",
+       "      <td>22.0</td>\n",
+       "      <td>17.0</td>\n",
+       "      <td>69.0</td>\n",
+       "      <td>3</td>\n",
+       "      <td>Y</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>524850</th>\n",
+       "      <td>Male</td>\n",
+       "      <td>30.0</td>\n",
+       "      <td>165.0</td>\n",
+       "      <td>75.0</td>\n",
+       "      <td>84.0</td>\n",
+       "      <td>0.9</td>\n",
+       "      <td>1.2</td>\n",
+       "      <td>1</td>\n",
+       "      <td>1</td>\n",
+       "      <td>126.0</td>\n",
+       "      <td>...</td>\n",
+       "      <td>139.0</td>\n",
+       "      <td>240.0</td>\n",
+       "      <td>16.5</td>\n",
+       "      <td>1</td>\n",
+       "      <td>0.5</td>\n",
+       "      <td>37.0</td>\n",
+       "      <td>57.0</td>\n",
+       "      <td>123.0</td>\n",
+       "      <td>3</td>\n",
+       "      <td>Y</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>524851</th>\n",
+       "      <td>Male</td>\n",
+       "      <td>30.0</td>\n",
+       "      <td>165.0</td>\n",
+       "      <td>70.0</td>\n",
+       "      <td>83.5</td>\n",
+       "      <td>1.2</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>1</td>\n",
+       "      <td>1</td>\n",
+       "      <td>160.0</td>\n",
+       "      <td>...</td>\n",
+       "      <td>71.0</td>\n",
+       "      <td>51.0</td>\n",
+       "      <td>15.6</td>\n",
+       "      <td>1</td>\n",
+       "      <td>0.8</td>\n",
+       "      <td>23.0</td>\n",
+       "      <td>25.0</td>\n",
+       "      <td>75.0</td>\n",
+       "      <td>3</td>\n",
+       "      <td>Y</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>524852</th>\n",
+       "      <td>Male</td>\n",
+       "      <td>55.0</td>\n",
+       "      <td>175.0</td>\n",
+       "      <td>70.0</td>\n",
+       "      <td>84.0</td>\n",
+       "      <td>0.7</td>\n",
+       "      <td>1.2</td>\n",
+       "      <td>1</td>\n",
+       "      <td>1</td>\n",
+       "      <td>130.0</td>\n",
+       "      <td>...</td>\n",
+       "      <td>99.0</td>\n",
+       "      <td>214.0</td>\n",
+       "      <td>16.3</td>\n",
+       "      <td>1</td>\n",
+       "      <td>1.1</td>\n",
+       "      <td>19.0</td>\n",
+       "      <td>27.0</td>\n",
+       "      <td>25.0</td>\n",
+       "      <td>3</td>\n",
+       "      <td>Y</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "<p>524853 rows × 24 columns</p>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "           sex   age  height  weight  waistline  sight_left  sight_right  \\\n",
+       "0       Female  70.0   155.0    40.0       61.0         0.9          0.9   \n",
+       "1         Male  75.0   160.0    65.0       82.0         0.5          0.5   \n",
+       "2       Female  45.0   150.0    55.0       81.0         1.0          1.0   \n",
+       "3       Female  70.0   155.0    65.0       85.0         0.8          0.7   \n",
+       "4       Female  45.0   155.0    55.0       75.5         0.7          0.9   \n",
+       "...        ...   ...     ...     ...        ...         ...          ...   \n",
+       "524848    Male  35.0   170.0    65.0       80.2         0.7          0.6   \n",
+       "524849    Male  40.0   175.0    60.0       74.0         1.2          0.8   \n",
+       "524850    Male  30.0   165.0    75.0       84.0         0.9          1.2   \n",
+       "524851    Male  30.0   165.0    70.0       83.5         1.2          1.0   \n",
+       "524852    Male  55.0   175.0    70.0       84.0         0.7          1.2   \n",
+       "\n",
+       "        hear_left  hear_right    SBP  ...  LDL_chole  triglyceride  \\\n",
+       "0               1           1  124.0  ...      141.0          63.0   \n",
+       "1               2           2  177.0  ...       88.0         116.0   \n",
+       "2               1           1  175.0  ...      201.0         104.0   \n",
+       "3               1           1  166.0  ...      147.0         169.0   \n",
+       "4               1           1   95.0  ...      123.0         176.0   \n",
+       "...           ...         ...    ...  ...        ...           ...   \n",
+       "524848          1           1  120.0  ...       55.0          51.0   \n",
+       "524849          1           1  122.0  ...      109.0         125.0   \n",
+       "524850          1           1  126.0  ...      139.0         240.0   \n",
+       "524851          1           1  160.0  ...       71.0          51.0   \n",
+       "524852          1           1  130.0  ...       99.0         214.0   \n",
+       "\n",
+       "        hemoglobin  urine_protein  serum_creatinine  SGOT_AST  SGOT_ALT  \\\n",
+       "0             13.2              2               0.8      30.0       9.0   \n",
+       "1             13.3              4               0.9      18.0      28.0   \n",
+       "2             13.8              1               1.0      29.0      25.0   \n",
+       "3             11.4              1               0.9      28.0      24.0   \n",
+       "4             12.7              1               0.8      23.0      23.0   \n",
+       "...            ...            ...               ...       ...       ...   \n",
+       "524848        14.1              1               0.5      24.0      31.0   \n",
+       "524849        14.8              1               1.2      22.0      17.0   \n",
+       "524850        16.5              1               0.5      37.0      57.0   \n",
+       "524851        15.6              1               0.8      23.0      25.0   \n",
+       "524852        16.3              1               1.1      19.0      27.0   \n",
+       "\n",
+       "        gamma_GTP  SMK_stat_type_cd  DRK_YN  \n",
+       "0            24.0                 1       N  \n",
+       "1            29.0                 1       N  \n",
+       "2            18.0                 1       N  \n",
+       "3            20.0                 1       Y  \n",
+       "4            29.0                 1       N  \n",
+       "...           ...               ...     ...  \n",
+       "524848       47.0                 3       Y  \n",
+       "524849       69.0                 3       Y  \n",
+       "524850      123.0                 3       Y  \n",
+       "524851       75.0                 3       Y  \n",
+       "524852       25.0                 3       Y  \n",
+       "\n",
+       "[524853 rows x 24 columns]"
+      ]
+     },
+     "execution_count": 5,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "cleaning.convertType(df_balanced, intToFloat, floatToInt)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 6,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "sex                  object\n",
+       "age                 float64\n",
+       "height              float64\n",
+       "weight              float64\n",
+       "waistline           float64\n",
+       "sight_left          float64\n",
+       "sight_right         float64\n",
+       "hear_left             int64\n",
+       "hear_right            int64\n",
+       "SBP                 float64\n",
+       "DBP                 float64\n",
+       "BLDS                float64\n",
+       "tot_chole           float64\n",
+       "HDL_chole           float64\n",
+       "LDL_chole           float64\n",
+       "triglyceride        float64\n",
+       "hemoglobin          float64\n",
+       "urine_protein         int64\n",
+       "serum_creatinine    float64\n",
+       "SGOT_AST            float64\n",
+       "SGOT_ALT            float64\n",
+       "gamma_GTP           float64\n",
+       "SMK_stat_type_cd      int64\n",
+       "DRK_YN               object\n",
+       "dtype: object"
+      ]
+     },
+     "execution_count": 6,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "df_balanced.dtypes"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 7,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "cont_features = df_balanced.select_dtypes(include=['float64']).columns\n",
+    "cat_features = df_balanced.select_dtypes(include=['object', 'int64']).columns\n",
+    "cat_features = cat_features.drop(['SMK_stat_type_cd', 'DRK_YN'])"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 8,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "(Index(['age', 'height', 'weight', 'waistline', 'sight_left', 'sight_right',\n",
+       "        'SBP', 'DBP', 'BLDS', 'tot_chole', 'HDL_chole', 'LDL_chole',\n",
+       "        'triglyceride', 'hemoglobin', 'serum_creatinine', 'SGOT_AST',\n",
+       "        'SGOT_ALT', 'gamma_GTP'],\n",
+       "       dtype='object'),\n",
+       " Index(['sex', 'hear_left', 'hear_right', 'urine_protein'], dtype='object'))"
+      ]
+     },
+     "execution_count": 8,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "cont_features, cat_features"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "# Séparation données train / test"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 9,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "X = df_balanced.drop(columns=['SMK_stat_type_cd', 'DRK_YN'])\n",
+    "y = df_balanced['SMK_stat_type_cd']\n",
+    "\n",
+    "X_train, X_test, y_train, y_test = train_test_split(X, y, test_size=0.2, random_state=42, stratify=y)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 10,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "(SMK_stat_type_cd\n",
+       " 1    139961\n",
+       " 2    139961\n",
+       " 3    139960\n",
+       " Name: count, dtype: int64,\n",
+       " SMK_stat_type_cd\n",
+       " 3    34991\n",
+       " 1    34990\n",
+       " 2    34990\n",
+       " Name: count, dtype: int64)"
+      ]
+     },
+     "execution_count": 10,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "y_train.value_counts(), y_test.value_counts()"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "# Prétraitement"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 11,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "def preprocess_data_without_selecting(X_train, X_test, cont_features, cat_features):\n",
+    "    \"\"\"\"\n",
+    "    Renvoie les données prétraitées pour l'entraînement et le test, ainsi que le preprocessor utilisé.\n",
+    "    \"\"\"\n",
+    "    \n",
+    "    # Preprocess numerical features\n",
+    "    cont_preprocessor = make_pipeline(StandardScaler())\n",
+    "    \n",
+    "    # Preprocess categorical features\n",
+    "    cat_preprocessor = make_pipeline(OrdinalEncoder())\n",
+    "    \n",
+    "    preprocessor = make_column_transformer((cont_preprocessor, cont_features),\n",
+    "                                           (cat_preprocessor, cat_features),\n",
+    "                                           remainder='drop')\n",
+    "    \n",
+    "    X_train_prep = preprocessor.fit_transform(X_train)\n",
+    "    X_test_prep = preprocessor.transform(X_test)\n",
+    "    \n",
+    "    return X_train_prep, X_test_prep, preprocessor"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 12,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "X_train, X_test, preprocessor = preprocess_data_without_selecting(X_train, X_test, cont_features, cat_features)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "### PCA"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 13,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Nombre de composants retenus : 15\n",
+      "Variance expliquée par les composants : [0.19710873 0.10637799 0.10191363 0.08687649 0.06943571 0.06072852\n",
+      " 0.05357029 0.05098142 0.04679907 0.03930929 0.0388133  0.03494847\n",
+      " 0.02949146 0.02383361 0.01900173]\n"
+     ]
+    }
+   ],
+   "source": [
+    "pca = PCA(n_components=0.95)  # Conservation de 95% de la variance\n",
+    "X_train_pca = pca.fit_transform(X_train)\n",
+    "X_test_pca = pca.transform(X_test)\n",
+    "\n",
+    "# Afficher le nombre de composants retenus et la variance expliquée\n",
+    "print(f\"Nombre de composants retenus : {pca.n_components_}\")\n",
+    "print(f\"Variance expliquée par les composants : {pca.explained_variance_ratio_}\")"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 14,
+   "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>sex</th>\n",
+       "      <th>age</th>\n",
+       "      <th>height</th>\n",
+       "      <th>weight</th>\n",
+       "      <th>waistline</th>\n",
+       "      <th>sight_left</th>\n",
+       "      <th>sight_right</th>\n",
+       "      <th>hear_left</th>\n",
+       "      <th>hear_right</th>\n",
+       "      <th>SBP</th>\n",
+       "      <th>...</th>\n",
+       "      <th>tot_chole</th>\n",
+       "      <th>HDL_chole</th>\n",
+       "      <th>LDL_chole</th>\n",
+       "      <th>triglyceride</th>\n",
+       "      <th>hemoglobin</th>\n",
+       "      <th>urine_protein</th>\n",
+       "      <th>serum_creatinine</th>\n",
+       "      <th>SGOT_AST</th>\n",
+       "      <th>SGOT_ALT</th>\n",
+       "      <th>gamma_GTP</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>PC1</th>\n",
+       "      <td>-0.055243</td>\n",
+       "      <td>0.317915</td>\n",
+       "      <td>0.423819</td>\n",
+       "      <td>0.354133</td>\n",
+       "      <td>0.058150</td>\n",
+       "      <td>0.057766</td>\n",
+       "      <td>0.244959</td>\n",
+       "      <td>0.267620</td>\n",
+       "      <td>0.137346</td>\n",
+       "      <td>0.126029</td>\n",
+       "      <td>...</td>\n",
+       "      <td>0.265014</td>\n",
+       "      <td>0.341333</td>\n",
+       "      <td>0.109875</td>\n",
+       "      <td>0.150523</td>\n",
+       "      <td>0.255891</td>\n",
+       "      <td>0.230921</td>\n",
+       "      <td>0.151425</td>\n",
+       "      <td>-0.002669</td>\n",
+       "      <td>-0.002552</td>\n",
+       "      <td>0.016171</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>PC2</th>\n",
+       "      <td>0.470572</td>\n",
+       "      <td>-0.410103</td>\n",
+       "      <td>-0.208890</td>\n",
+       "      <td>0.022907</td>\n",
+       "      <td>-0.253276</td>\n",
+       "      <td>-0.250406</td>\n",
+       "      <td>0.350915</td>\n",
+       "      <td>0.281735</td>\n",
+       "      <td>0.215874</td>\n",
+       "      <td>0.202355</td>\n",
+       "      <td>...</td>\n",
+       "      <td>0.127464</td>\n",
+       "      <td>-0.186852</td>\n",
+       "      <td>-0.056224</td>\n",
+       "      <td>0.161613</td>\n",
+       "      <td>0.111772</td>\n",
+       "      <td>0.154523</td>\n",
+       "      <td>-0.091959</td>\n",
+       "      <td>0.015916</td>\n",
+       "      <td>0.015641</td>\n",
+       "      <td>0.025817</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>PC3</th>\n",
+       "      <td>-0.164128</td>\n",
+       "      <td>-0.000210</td>\n",
+       "      <td>-0.031643</td>\n",
+       "      <td>-0.091778</td>\n",
+       "      <td>0.079582</td>\n",
+       "      <td>0.076973</td>\n",
+       "      <td>-0.126880</td>\n",
+       "      <td>-0.062818</td>\n",
+       "      <td>-0.153144</td>\n",
+       "      <td>0.662102</td>\n",
+       "      <td>...</td>\n",
+       "      <td>0.026636</td>\n",
+       "      <td>0.070507</td>\n",
+       "      <td>-0.052101</td>\n",
+       "      <td>-0.064774</td>\n",
+       "      <td>-0.035095</td>\n",
+       "      <td>-0.050791</td>\n",
+       "      <td>-0.031547</td>\n",
+       "      <td>-0.008534</td>\n",
+       "      <td>-0.007986</td>\n",
+       "      <td>-0.021449</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>PC4</th>\n",
+       "      <td>-0.124421</td>\n",
+       "      <td>-0.055264</td>\n",
+       "      <td>-0.116396</td>\n",
+       "      <td>-0.146306</td>\n",
+       "      <td>0.045405</td>\n",
+       "      <td>0.043600</td>\n",
+       "      <td>-0.284784</td>\n",
+       "      <td>-0.261343</td>\n",
+       "      <td>-0.032030</td>\n",
+       "      <td>-0.009591</td>\n",
+       "      <td>...</td>\n",
+       "      <td>0.025690</td>\n",
+       "      <td>-0.042702</td>\n",
+       "      <td>-0.078578</td>\n",
+       "      <td>0.591732</td>\n",
+       "      <td>0.537835</td>\n",
+       "      <td>0.348842</td>\n",
+       "      <td>-0.034478</td>\n",
+       "      <td>-0.004347</td>\n",
+       "      <td>-0.004152</td>\n",
+       "      <td>-0.001248</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>PC5</th>\n",
+       "      <td>-0.164348</td>\n",
+       "      <td>-0.015069</td>\n",
+       "      <td>-0.098705</td>\n",
+       "      <td>-0.188350</td>\n",
+       "      <td>0.357584</td>\n",
+       "      <td>0.355289</td>\n",
+       "      <td>0.420952</td>\n",
+       "      <td>0.469816</td>\n",
+       "      <td>-0.153838</td>\n",
+       "      <td>-0.047032</td>\n",
+       "      <td>...</td>\n",
+       "      <td>-0.213389</td>\n",
+       "      <td>-0.004199</td>\n",
+       "      <td>-0.115777</td>\n",
+       "      <td>0.072832</td>\n",
+       "      <td>0.021372</td>\n",
+       "      <td>0.074917</td>\n",
+       "      <td>-0.028335</td>\n",
+       "      <td>-0.007353</td>\n",
+       "      <td>-0.006770</td>\n",
+       "      <td>-0.008338</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "<p>5 rows × 22 columns</p>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "          sex       age    height    weight  waistline  sight_left  \\\n",
+       "PC1 -0.055243  0.317915  0.423819  0.354133   0.058150    0.057766   \n",
+       "PC2  0.470572 -0.410103 -0.208890  0.022907  -0.253276   -0.250406   \n",
+       "PC3 -0.164128 -0.000210 -0.031643 -0.091778   0.079582    0.076973   \n",
+       "PC4 -0.124421 -0.055264 -0.116396 -0.146306   0.045405    0.043600   \n",
+       "PC5 -0.164348 -0.015069 -0.098705 -0.188350   0.357584    0.355289   \n",
+       "\n",
+       "     sight_right  hear_left  hear_right       SBP  ...  tot_chole  HDL_chole  \\\n",
+       "PC1     0.244959   0.267620    0.137346  0.126029  ...   0.265014   0.341333   \n",
+       "PC2     0.350915   0.281735    0.215874  0.202355  ...   0.127464  -0.186852   \n",
+       "PC3    -0.126880  -0.062818   -0.153144  0.662102  ...   0.026636   0.070507   \n",
+       "PC4    -0.284784  -0.261343   -0.032030 -0.009591  ...   0.025690  -0.042702   \n",
+       "PC5     0.420952   0.469816   -0.153838 -0.047032  ...  -0.213389  -0.004199   \n",
+       "\n",
+       "     LDL_chole  triglyceride  hemoglobin  urine_protein  serum_creatinine  \\\n",
+       "PC1   0.109875      0.150523    0.255891       0.230921          0.151425   \n",
+       "PC2  -0.056224      0.161613    0.111772       0.154523         -0.091959   \n",
+       "PC3  -0.052101     -0.064774   -0.035095      -0.050791         -0.031547   \n",
+       "PC4  -0.078578      0.591732    0.537835       0.348842         -0.034478   \n",
+       "PC5  -0.115777      0.072832    0.021372       0.074917         -0.028335   \n",
+       "\n",
+       "     SGOT_AST  SGOT_ALT  gamma_GTP  \n",
+       "PC1 -0.002669 -0.002552   0.016171  \n",
+       "PC2  0.015916  0.015641   0.025817  \n",
+       "PC3 -0.008534 -0.007986  -0.021449  \n",
+       "PC4 -0.004347 -0.004152  -0.001248  \n",
+       "PC5 -0.007353 -0.006770  -0.008338  \n",
+       "\n",
+       "[5 rows x 22 columns]"
+      ]
+     },
+     "execution_count": 14,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "# Noms des caractéristiques d'origine\n",
+    "feature_names = X.columns\n",
+    "\n",
+    "# Coefficients des composantes principales\n",
+    "pca_components = pca.components_\n",
+    "\n",
+    "# Créer un DataFrame pour afficher les coefficients\n",
+    "pca_df = pd.DataFrame(data=pca_components, columns=feature_names)\n",
+    "pca_df.index = [f'PC{i+1}' for i in range(pca_df.shape[0])]\n",
+    "\n",
+    "# Afficher les coefficients des premières composantes principales\n",
+    "pca_df.head()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 15,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 1000x600 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 1000x600 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 1000x600 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "def plot_pca_components(pca_df, component_num, num_features=10):\n",
+    "    component = pca_df.iloc[component_num - 1]\n",
+    "    sorted_component = component.abs().sort_values(ascending=False).head(num_features)\n",
+    "    plt.figure(figsize=(10, 6))\n",
+    "    sorted_component.plot(kind='bar')\n",
+    "    plt.title(f'Composante principale {component_num}')\n",
+    "    plt.ylabel('Coefficient absolu')\n",
+    "    plt.xlabel('Caractéristique')\n",
+    "    plt.show()\n",
+    "\n",
+    "# Tracer les coefficients des caractéristiques pour les trois premières composantes principales\n",
+    "for i in range(1, 4):\n",
+    "    plot_pca_components(pca_df, i)\n"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "# Modélisation : KNN"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## Entraînement et prédiction "
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 49,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "knn = KNeighborsClassifier(n_neighbors=5)\n",
+    "\n",
+    "# Entraîner le modèle KNN sur les données d'entraînement transformées\n",
+    "knn.fit(X_train_pca, y_train)\n",
+    "\n",
+    "# Faire des prédictions sur les données de test transformées\n",
+    "y_pred = knn.predict(X_test_pca)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 53,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Faire des prédictions sur les données de train transformées\n",
+    "y_pred_train = knn.predict(X_train_pca)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## Evaluation - train"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 20,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "def plot_confusion_matrix(y_true, y_pred, classes, cmap='Blues', figsize=(10, 7)):\n",
+    "    \"\"\"\n",
+    "    Plots a confusion matrix using matplotlib.\n",
+    "    \n",
+    "    Parameters:\n",
+    "    y_true : array-like of shape (n_samples,)\n",
+    "        True labels.\n",
+    "    y_pred : array-like of shape (n_samples,)\n",
+    "        Predicted labels.\n",
+    "    classes : array-like of shape (n_classes,)\n",
+    "        List of class labels.\n",
+    "    cmap : str, default='Blues'\n",
+    "        Colormap for the heatmap.\n",
+    "    figsize : tuple, default=(10, 7)\n",
+    "        Figure size.\n",
+    "    \"\"\"\n",
+    "    # Calculer la matrice de confusion\n",
+    "    cm = confusion_matrix(y_true, y_pred)\n",
+    "    \n",
+    "    # Créer une figure et un axe\n",
+    "    fig, ax = plt.subplots(figsize=figsize)\n",
+    "    \n",
+    "    # Créer une heatmap\n",
+    "    cax = ax.matshow(cm, cmap=cmap)\n",
+    "    \n",
+    "    # Ajouter une barre de couleur\n",
+    "    fig.colorbar(cax)\n",
+    "    \n",
+    "    # Annoter la heatmap avec les valeurs de la matrice de confusion\n",
+    "    for (i, j), val in np.ndenumerate(cm):\n",
+    "        ax.text(j, i, f'{val}', ha='center', va='center', color='black')\n",
+    "    \n",
+    "    # Définir les labels des axes\n",
+    "    ax.set_xticks(np.arange(len(classes)))\n",
+    "    ax.set_yticks(np.arange(len(classes)))\n",
+    "    ax.set_xticklabels(classes, rotation=45)\n",
+    "    ax.set_yticklabels(classes)\n",
+    "    \n",
+    "    # Définir les labels des axes et le titre\n",
+    "    plt.xlabel('Predicted Labels')\n",
+    "    plt.ylabel('True Labels')\n",
+    "    plt.title('Confusion Matrix')\n",
+    "    \n",
+    "    # Afficher la heatmap\n",
+    "    plt.show()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 18,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "def evaluate_model_multiclass(y_true, y_pred, class_labels):\n",
+    "    \"\"\"\n",
+    "    Evaluate a multi-class classification model using confusion matrix, classification metrics, \n",
+    "    and ROC AUC.\n",
+    "\n",
+    "    Args:\n",
+    "        y_true (array): True class labels.\n",
+    "        y_pred (array): Predicted class labels.\n",
+    "        class_labels (array): List of class labels.\n",
+    "    \"\"\"\n",
+    "    # Plot confusion matrix\n",
+    "    plot_confusion_matrix(y_true, y_pred, classes=class_labels)\n",
+    "\n",
+    "    # Calculate classification metrics\n",
+    "    f1 = f1_score(y_true, y_pred, average='weighted')\n",
+    "\n",
+    "    # Display classification metrics\n",
+    "    print(\"*** Classification Metrics ***\")\n",
+    "    print(\"F1 Score =\", f1)\n",
+    "    print(\"******************************\")\n",
+    "\n",
+    "    # Binarize the output\n",
+    "    y_onehot_test = label_binarize(y_true, classes=class_labels)\n",
+    "    y_score = label_binarize(y_pred, classes=class_labels)\n",
+    "\n",
+    "    # ROC AUC for multi-class classification\n",
+    "    fpr = {}\n",
+    "    tpr = {}\n",
+    "    roc_auc = {}\n",
+    "\n",
+    "    for i in range(len(class_labels)):\n",
+    "        fpr[i], tpr[i], _ = roc_curve(y_onehot_test[:, i], y_score[:, i])\n",
+    "        roc_auc[i] = auc(fpr[i], tpr[i])\n",
+    "\n",
+    "    # Plot ROC curve for each class\n",
+    "    plt.figure(figsize=(8, 6))\n",
+    "    for i in range(len(class_labels)):\n",
+    "        plt.plot(fpr[i], tpr[i], label='Class %d (AUC=%0.3f)' % (i, roc_auc[i]))\n",
+    "\n",
+    "    plt.plot([0, 1], [0, 1], 'k--')\n",
+    "    plt.xlim([0.0, 1.0])\n",
+    "    plt.ylim([0.0, 1.05])\n",
+    "    plt.title('Multi-class ROC Curve')\n",
+    "    plt.xlabel('False Positive Rate')\n",
+    "    plt.ylabel('True Positive Rate')\n",
+    "    plt.legend(loc=\"lower right\")\n",
+    "    plt.show()\n",
+    "\n",
+    "    # Print AUC scores for each class\n",
+    "    print(\"AUC scores for each class:\", roc_auc)\n",
+    "\n",
+    "    # Calculate micro-average ROC AUC\n",
+    "    fpr[\"micro\"], tpr[\"micro\"], _ = roc_curve(y_onehot_test.ravel(), y_score.ravel())\n",
+    "    roc_auc[\"micro\"] = auc(fpr[\"micro\"], tpr[\"micro\"])\n",
+    "\n",
+    "    # Plot micro-average ROC curve\n",
+    "    plt.figure(figsize=(8, 6))\n",
+    "    plt.plot(fpr[\"micro\"], tpr[\"micro\"], label='micro-average ROC curve (AUC = %0.3f)' % roc_auc[\"micro\"], color='darkorange')\n",
+    "    plt.plot([0, 1], [0, 1], 'k--')\n",
+    "    plt.xlim([0.0, 1.0])\n",
+    "    plt.ylim([0.0, 1.05])\n",
+    "    plt.title('Micro-averaged ROC Curve')\n",
+    "    plt.xlabel('False Positive Rate')\n",
+    "    plt.ylabel('True Positive Rate')\n",
+    "    plt.legend(loc=\"lower right\")\n",
+    "    plt.show()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 54,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 1000x700 with 2 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "*** Classification Metrics ***\n",
+      "F1 Score = 0.6976241162570653\n",
+      "******************************\n"
+     ]
+    },
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 800x600 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "AUC scores for each class: {0: 0.839372871495093, 1: 0.7491815589014355, 2: 0.7359178225298662}\n"
+     ]
+    },
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 800x600 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "# Evaluer le modèle KNN sur les données de train\n",
+    "evaluate_model_multiclass(y_train, y_pred_train, knn.classes_)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## Evaluation - test"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 52,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 1000x700 with 2 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "*** Classification Metrics ***\n",
+      "F1 Score = 0.565157523586021\n",
+      "******************************\n"
+     ]
+    },
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 800x600 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "AUC scores for each class: {0: 0.7805599863571347, 1: 0.6338330949985245, 2: 0.6170059434055754}\n"
+     ]
+    },
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 800x600 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "class_labels = np.unique(y) \n",
+    "evaluate_model_multiclass(y_test, y_pred, class_labels)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 26,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# function to plot learning curve\n",
+    "def plot_learning_curve(model, X, y, cv=5, train_sizes=np.linspace(0.1, 1.0, 5)):\n",
+    "    \"\"\"\n",
+    "    Plot the learning curve for a model.\n",
+    "\n",
+    "    Args:\n",
+    "        model: Trained model.\n",
+    "        X: Features.\n",
+    "        y: Target.\n",
+    "        cv: Number of cross-validation folds.\n",
+    "        train_sizes: Array of training set sizes.\n",
+    "    \"\"\"\n",
+    "    # Create the learning curve visualizer\n",
+    "    sizes, train_scores, test_scores, fit_times, _ = learning_curve(\n",
+    "        model, X, y, cv=cv, train_sizes=train_sizes, scoring='f1_weighted', return_times=True\n",
+    "    )\n",
+    "\n",
+    "    # Calculate mean and standard deviation for training set scores\n",
+    "    train_scores_mean = np.mean(train_scores, axis=1)\n",
+    "    train_scores_std = np.std(train_scores, axis=1)\n",
+    "\n",
+    "    # Calculate mean and standard deviation for test set scores\n",
+    "    test_scores_mean = np.mean(test_scores, axis=1)\n",
+    "    test_scores_std = np.std(test_scores, axis=1)\n",
+    "\n",
+    "    # Plot the learning curve\n",
+    "    plt.figure(figsize=(10, 6))\n",
+    "    plt.fill_between(sizes, train_scores_mean - train_scores_std, train_scores_mean + train_scores_std, alpha=0.1, color='r')\n",
+    "    plt.fill_between(sizes, test_scores_mean - test_scores_std, test_scores_mean + test_scores_std, alpha=0.1, color='g')\n",
+    "    plt.plot(sizes, train_scores_mean, 'o-', color='r', label='Training score')\n",
+    "    plt.plot(sizes, test_scores_mean, 'o-', color='g', label='Cross-validation score')\n",
+    "    plt.title('Learning Curve')\n",
+    "    plt.xlabel('Training Examples')\n",
+    "    plt.ylabel('Score')\n",
+    "    plt.grid(True)\n",
+    "    plt.legend(loc='best')\n",
+    "    plt.show()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 55,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 1000x600 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "plot_learning_curve(knn, X_train_pca, y_train, cv=5, train_sizes=np.linspace(0.1, 1.0, 5))"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "### Optimisation des hyper paramètres"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 55,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Use optuna to optimize hyperparameter k for KNN\n",
+    "def objective(trial):\n",
+    "    # Define the search space\n",
+    "    params = {\n",
+    "        'n_neighbors': trial.suggest_int('n_neighbors', 1, 20)\n",
+    "    }\n",
+    "\n",
+    "    # Create the model\n",
+    "    model = KNeighborsClassifier(**params)\n",
+    "\n",
+    "    # Calculate the cross-validation score\n",
+    "    score = cross_val_score(model, X_train_pca, y_train, cv=5, scoring='f1_weighted').mean()\n",
+    "\n",
+    "    return score"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 58,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "[I 2024-06-14 20:04:59,878] A new study created in memory with name: no-name-ff8708ab-4f76-4ab6-ba31-bfd085123b04\n",
+      "[I 2024-06-14 21:10:18,472] Trial 0 finished with value: 0.6049400615875298 and parameters: {'n_neighbors': 14}. Best is trial 0 with value: 0.6049400615875298.\n",
+      "[I 2024-06-14 22:08:46,845] Trial 1 finished with value: 0.6128741619066986 and parameters: {'n_neighbors': 19}. Best is trial 1 with value: 0.6128741619066986.\n",
+      "[I 2024-06-14 22:41:21,041] Trial 2 finished with value: 0.5346214141443493 and parameters: {'n_neighbors': 3}. Best is trial 1 with value: 0.6128741619066986.\n",
+      "[I 2024-06-14 23:05:51,541] Trial 3 finished with value: 0.5187151065955355 and parameters: {'n_neighbors': 1}. Best is trial 1 with value: 0.6128741619066986.\n",
+      "[I 2024-06-14 23:48:36,673] Trial 4 finished with value: 0.6088952446129505 and parameters: {'n_neighbors': 16}. Best is trial 1 with value: 0.6128741619066986.\n",
+      "[I 2024-06-15 00:29:59,314] Trial 5 finished with value: 0.613444548391299 and parameters: {'n_neighbors': 20}. Best is trial 5 with value: 0.613444548391299.\n",
+      "[I 2024-06-15 01:04:23,085] Trial 6 finished with value: 0.5913993832824143 and parameters: {'n_neighbors': 9}. Best is trial 5 with value: 0.613444548391299.\n",
+      "[I 2024-06-15 01:37:53,527] Trial 7 finished with value: 0.5851923341929377 and parameters: {'n_neighbors': 8}. Best is trial 5 with value: 0.613444548391299.\n",
+      "[I 2024-06-15 02:16:27,648] Trial 8 finished with value: 0.6074629046797786 and parameters: {'n_neighbors': 15}. Best is trial 5 with value: 0.613444548391299.\n",
+      "[I 2024-06-15 02:55:28,408] Trial 9 finished with value: 0.6088952446129505 and parameters: {'n_neighbors': 16}. Best is trial 5 with value: 0.613444548391299.\n",
+      "[I 2024-06-15 03:36:41,542] Trial 10 finished with value: 0.613444548391299 and parameters: {'n_neighbors': 20}. Best is trial 5 with value: 0.613444548391299.\n",
+      "[I 2024-06-15 04:22:43,840] Trial 11 finished with value: 0.613444548391299 and parameters: {'n_neighbors': 20}. Best is trial 5 with value: 0.613444548391299.\n"
+     ]
+    }
+   ],
+   "source": [
+    "# Create a study object and optimize the objective function\n",
+    "study = optuna.create_study(direction='maximize')\n",
+    "study.optimize(objective, n_trials=20)\n",
+    "\n",
+    "# Get the best trial\n",
+    "best_trial = study.best_trial\n",
+    "\n",
+    "# Print the best trial\n",
+    "print('Best trial:')\n",
+    "print('  Value: ', best_trial.value)\n",
+    "\n",
+    "print('  Params: ')\n",
+    "for key, value in best_trial.params.items():\n",
+    "    print(f'    {key}: {value}')"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "### Réévaluation avec k optimisé"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 17,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "*** Train Set Evaluation ***\n"
+     ]
+    },
+    {
+     "ename": "NameError",
+     "evalue": "name 'evaluate_model_multiclass' is not defined",
+     "output_type": "error",
+     "traceback": [
+      "\u001b[1;31m---------------------------------------------------------------------------\u001b[0m",
+      "\u001b[1;31mNameError\u001b[0m                                 Traceback (most recent call last)",
+      "Cell \u001b[1;32mIn[17], line 12\u001b[0m\n\u001b[0;32m     10\u001b[0m \u001b[38;5;66;03m# Evaluate the model on the train set\u001b[39;00m\n\u001b[0;32m     11\u001b[0m \u001b[38;5;28mprint\u001b[39m(\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124m*** Train Set Evaluation ***\u001b[39m\u001b[38;5;124m\"\u001b[39m)\n\u001b[1;32m---> 12\u001b[0m evaluate_model_multiclass(y_train, y_pred_train_best, knn_best\u001b[38;5;241m.\u001b[39mclasses_)\n\u001b[0;32m     14\u001b[0m \u001b[38;5;66;03m# Make predictions on the test set\u001b[39;00m\n\u001b[0;32m     15\u001b[0m y_pred_best \u001b[38;5;241m=\u001b[39m knn_best\u001b[38;5;241m.\u001b[39mpredict(X_test_pca)\n",
+      "\u001b[1;31mNameError\u001b[0m: name 'evaluate_model_multiclass' is not defined"
+     ]
+    }
+   ],
+   "source": [
+    "# Train the model with the best hyperparameters\n",
+    "# best_params = best_trial.params\n",
+    "# knn_best = KNeighborsClassifier(**best_params)\n",
+    "best_params = {'n_neighbors': 20}\n",
+    "knn_best = KNeighborsClassifier(**best_params)\n",
+    "knn_best.fit(X_train_pca, y_train)\n",
+    "\n",
+    "# Make predictions on the train set\n",
+    "y_pred_train_best = knn_best.predict(X_train_pca)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 21,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "*** Train Set Evaluation ***\n"
+     ]
+    },
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 1000x700 with 2 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "*** Classification Metrics ***\n",
+      "F1 Score = 0.6532273446240335\n",
+      "******************************\n"
+     ]
+    },
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 800x600 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "AUC scores for each class: {0: 0.8176490297193002, 1: 0.7050459740117891, 2: 0.6933505441015773}\n"
+     ]
+    },
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 800x600 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "# Evaluate the model on the train set\n",
+    "print(\"*** Train Set Evaluation ***\")\n",
+    "evaluate_model_multiclass(y_train, y_pred_train_best, knn_best.classes_)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 22,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Make predictions on the test set\n",
+    "y_pred_best = knn_best.predict(X_test_pca)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 24,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "*** Test Set Evaluation ***\n"
+     ]
+    },
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 1000x700 with 2 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "*** Classification Metrics ***\n",
+      "F1 Score = 0.6146836965481568\n",
+      "******************************\n"
+     ]
+    },
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 800x600 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "AUC scores for each class: {0: 0.8100178726501108, 1: 0.6651848250616703, 2: 0.6530791978689429}\n"
+     ]
+    },
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 800x600 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "# Evaluate the model\n",
+    "print(\"*** Test Set Evaluation ***\")\n",
+    "evaluate_model_multiclass(y_test, y_pred_best, knn_best.classes_)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Plot the learning curve for the best model\n",
+    "plot_learning_curve(knn_best, X_train_pca, y_train, cv=5, train_sizes=np.linspace(0.1, 1.0, 5))"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Plot the validation curve for the number of neighbors\n",
+    "param_range = np.arange(1, 21)\n",
+    "train_scores, test_scores = validation_curve(\n",
+    "    KNeighborsClassifier(), X_train_pca, y_train, param_name='n_neighbors', param_range=param_range,\n",
+    "    cv=5, scoring='f1_weighted', n_jobs=-1\n",
+    ")"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## Fusion des deux classes ancien fumeur et fumeur"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "### Fusion"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 23,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "df = pd.read_csv(data_path)\n",
+    "\n",
+    "# Fusionner les labels 2 et 3 en un seul label 2\n",
+    "df['SMK_stat_type_cd'] = df['SMK_stat_type_cd'].replace({3: 2})\n",
+    "\n",
+    "# Sauvegarder le nouveau dataset\n",
+    "df.to_csv('../data/smoking_driking_dataset_Ver01_modified.csv', index=False)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 24,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "SMK_stat_type_cd\n",
+       "2.0    349902\n",
+       "1.0    174951\n",
+       "Name: count, dtype: int64"
+      ]
+     },
+     "execution_count": 24,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "df['SMK_stat_type_cd'].value_counts()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 25,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Distribution des classes dans le dataset équilibré :\n",
+      "SMK_stat_type_cd\n",
+      "1.0    174951\n",
+      "2.0    174951\n",
+      "Name: count, dtype: int64\n"
+     ]
+    }
+   ],
+   "source": [
+    "# Équilibrer le dataset\n",
+    "df_balanced = data_loader.balance_dataset('../data/smoking_driking_dataset_Ver01_modified.csv', 'SMK_stat_type_cd', '../data/balanced_smoking_drinking_dataset_modified.csv')"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "### Prétraitement"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 26,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "intToFloat = ['age', 'height', 'weight']\n",
+    "floatToInt = ['hear_left', 'hear_right', 'urine_protein', 'SMK_stat_type_cd']\n",
+    "\n",
+    "cleaning.convertType(df_balanced, intToFloat, floatToInt)\n",
+    "\n",
+    "cont_features = df_balanced.select_dtypes(include=['float64']).columns\n",
+    "cat_features = df_balanced.select_dtypes(include=['object', 'int64']).columns\n",
+    "cat_features = cat_features.drop(['SMK_stat_type_cd', 'DRK_YN'])\n",
+    "\n",
+    "X = df_balanced.drop(columns=['SMK_stat_type_cd', 'DRK_YN'])\n",
+    "y = df_balanced['SMK_stat_type_cd']\n",
+    "\n",
+    "X_train, X_test, y_train, y_test = train_test_split(X, y, test_size=0.2, random_state=42, stratify=y)\n",
+    "\n",
+    "X_train, X_test, preprocessor = preprocess_data_without_selecting(X_train, X_test, cont_features, cat_features)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "### PCA"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 27,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "pca = PCA(n_components=0.95)  # Conservation de 95% de la variance\n",
+    "X_train_pca = pca.fit_transform(X_train)\n",
+    "X_test_pca = pca.transform(X_test)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "### Modélisation"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 28,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<style>#sk-container-id-1 {color: black;background-color: white;}#sk-container-id-1 pre{padding: 0;}#sk-container-id-1 div.sk-toggleable {background-color: white;}#sk-container-id-1 label.sk-toggleable__label {cursor: pointer;display: block;width: 100%;margin-bottom: 0;padding: 0.3em;box-sizing: border-box;text-align: center;}#sk-container-id-1 label.sk-toggleable__label-arrow:before {content: \"▸\";float: left;margin-right: 0.25em;color: #696969;}#sk-container-id-1 label.sk-toggleable__label-arrow:hover:before {color: black;}#sk-container-id-1 div.sk-estimator:hover label.sk-toggleable__label-arrow:before {color: black;}#sk-container-id-1 div.sk-toggleable__content {max-height: 0;max-width: 0;overflow: hidden;text-align: left;background-color: #f0f8ff;}#sk-container-id-1 div.sk-toggleable__content pre {margin: 0.2em;color: black;border-radius: 0.25em;background-color: #f0f8ff;}#sk-container-id-1 input.sk-toggleable__control:checked~div.sk-toggleable__content {max-height: 200px;max-width: 100%;overflow: auto;}#sk-container-id-1 input.sk-toggleable__control:checked~label.sk-toggleable__label-arrow:before {content: \"▾\";}#sk-container-id-1 div.sk-estimator input.sk-toggleable__control:checked~label.sk-toggleable__label {background-color: #d4ebff;}#sk-container-id-1 div.sk-label input.sk-toggleable__control:checked~label.sk-toggleable__label {background-color: #d4ebff;}#sk-container-id-1 input.sk-hidden--visually {border: 0;clip: rect(1px 1px 1px 1px);clip: rect(1px, 1px, 1px, 1px);height: 1px;margin: -1px;overflow: hidden;padding: 0;position: absolute;width: 1px;}#sk-container-id-1 div.sk-estimator {font-family: monospace;background-color: #f0f8ff;border: 1px dotted black;border-radius: 0.25em;box-sizing: border-box;margin-bottom: 0.5em;}#sk-container-id-1 div.sk-estimator:hover {background-color: #d4ebff;}#sk-container-id-1 div.sk-parallel-item::after {content: \"\";width: 100%;border-bottom: 1px solid gray;flex-grow: 1;}#sk-container-id-1 div.sk-label:hover label.sk-toggleable__label {background-color: #d4ebff;}#sk-container-id-1 div.sk-serial::before {content: \"\";position: absolute;border-left: 1px solid gray;box-sizing: border-box;top: 0;bottom: 0;left: 50%;z-index: 0;}#sk-container-id-1 div.sk-serial {display: flex;flex-direction: column;align-items: center;background-color: white;padding-right: 0.2em;padding-left: 0.2em;position: relative;}#sk-container-id-1 div.sk-item {position: relative;z-index: 1;}#sk-container-id-1 div.sk-parallel {display: flex;align-items: stretch;justify-content: center;background-color: white;position: relative;}#sk-container-id-1 div.sk-item::before, #sk-container-id-1 div.sk-parallel-item::before {content: \"\";position: absolute;border-left: 1px solid gray;box-sizing: border-box;top: 0;bottom: 0;left: 50%;z-index: -1;}#sk-container-id-1 div.sk-parallel-item {display: flex;flex-direction: column;z-index: 1;position: relative;background-color: white;}#sk-container-id-1 div.sk-parallel-item:first-child::after {align-self: flex-end;width: 50%;}#sk-container-id-1 div.sk-parallel-item:last-child::after {align-self: flex-start;width: 50%;}#sk-container-id-1 div.sk-parallel-item:only-child::after {width: 0;}#sk-container-id-1 div.sk-dashed-wrapped {border: 1px dashed gray;margin: 0 0.4em 0.5em 0.4em;box-sizing: border-box;padding-bottom: 0.4em;background-color: white;}#sk-container-id-1 div.sk-label label {font-family: monospace;font-weight: bold;display: inline-block;line-height: 1.2em;}#sk-container-id-1 div.sk-label-container {text-align: center;}#sk-container-id-1 div.sk-container {/* jupyter's `normalize.less` sets `[hidden] { display: none; }` but bootstrap.min.css set `[hidden] { display: none !important; }` so we also need the `!important` here to be able to override the default hidden behavior on the sphinx rendered scikit-learn.org. See: https://github.com/scikit-learn/scikit-learn/issues/21755 */display: inline-block !important;position: relative;}#sk-container-id-1 div.sk-text-repr-fallback {display: none;}</style><div id=\"sk-container-id-1\" class=\"sk-top-container\"><div class=\"sk-text-repr-fallback\"><pre>KNeighborsClassifier()</pre><b>In a Jupyter environment, please rerun this cell to show the HTML representation or trust the notebook. <br />On GitHub, the HTML representation is unable to render, please try loading this page with nbviewer.org.</b></div><div class=\"sk-container\" hidden><div class=\"sk-item\"><div class=\"sk-estimator sk-toggleable\"><input class=\"sk-toggleable__control sk-hidden--visually\" id=\"sk-estimator-id-1\" type=\"checkbox\" checked><label for=\"sk-estimator-id-1\" class=\"sk-toggleable__label sk-toggleable__label-arrow\">KNeighborsClassifier</label><div class=\"sk-toggleable__content\"><pre>KNeighborsClassifier()</pre></div></div></div></div></div>"
+      ],
+      "text/plain": [
+       "KNeighborsClassifier()"
+      ]
+     },
+     "execution_count": 28,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "knn = KNeighborsClassifier(n_neighbors=5)\n",
+    "\n",
+    "# Entraîner le modèle KNN sur les données d'entraînement transformées\n",
+    "knn.fit(X_train_pca, y_train)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "### Evaluation"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 29,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "def evaluate_model_binary(y_true, y_pred, class_labels):\n",
+    "  \"\"\"\n",
+    "  Evaluate a multi-class classification model using confusion matrix, classification metrics, \n",
+    "  and ROC AUC.\n",
+    "\n",
+    "  Args:\n",
+    "    y_true (array): True class labels.\n",
+    "    y_pred (array): Predicted class labels.\n",
+    "    class_labels (array): List of class labels.\n",
+    "  \"\"\"\n",
+    "  # Plot confusion matrix\n",
+    "  plot_confusion_matrix(y_true, y_pred, classes=class_labels)\n",
+    "\n",
+    "  # Calculate classification metrics\n",
+    "  # precision = precision_score(y_true, y_pred, average='weighted')\n",
+    "  # recall = recall_score(y_true, y_pred, average='weighted')\n",
+    "  f1 = f1_score(y_true, y_pred, average='weighted')\n",
+    "\n",
+    "  # Display classification metrics\n",
+    "  print(\"*** Classification Metrics ***\")\n",
+    "  # print(\"Precision =\", precision)\n",
+    "  # print(\"Recall =\", recall)\n",
+    "  print(\"F1 Score =\", f1)\n",
+    "  print(\"******************************\")\n",
+    "\n",
+    "  # Binarize the output\n",
+    "  y_onehot_test = label_binarize(y_true, classes=class_labels)\n",
+    "  y_score = label_binarize(y_pred, classes=class_labels)\n",
+    "\n",
+    "  # ROC AUC\n",
+    "\n",
+    "  fpr, tpr, _ = roc_curve(y_onehot_test[:, 0], y_score[:, 0])\n",
+    "  roc_auc = auc(fpr, tpr)\n",
+    "\n",
+    "  # Plot ROC curve\n",
+    "  plt.figure(figsize=(8, 6))\n",
+    "  plt.plot(fpr, tpr, label='ROC curve (AUC=%0.3f)' % roc_auc)\n",
+    "  plt.plot([0, 1], [0, 1], 'k--')\n",
+    "  plt.xlim([0.0, 1.0])\n",
+    "  plt.ylim([0.0, 1.05])\n",
+    "  plt.title('ROC Curve')\n",
+    "  plt.xlabel('False Positive Rate')\n",
+    "  plt.ylabel('True Positive Rate')\n",
+    "  plt.legend(loc=\"lower right\")\n",
+    "  plt.show()\n",
+    "\n",
+    "  # Print AUC score\n",
+    "  print(\"AUC score:\", roc_auc)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 33,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 1000x700 with 2 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "*** Classification Metrics ***\n",
+      "F1 Score = 0.8395768024801896\n",
+      "******************************\n"
+     ]
+    },
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 800x600 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "AUC score: 0.8398189529848187\n"
+     ]
+    }
+   ],
+   "source": [
+    "# Faire des prédictions sur les données train\n",
+    "y_train_pred = knn.predict(X_train_pca)\n",
+    "\n",
+    "# Évaluer le modèle sur les données train\n",
+    "class_labels = np.unique(y)  # Assurez-vous que les étiquettes de classe sont correctes\n",
+    "evaluate_model_binary(y_train, y_train_pred, class_labels)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 30,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Faire des prédictions sur les données de test transformées\n",
+    "y_pred = knn.predict(X_test_pca)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 31,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 1000x700 with 2 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "*** Classification Metrics ***\n",
+      "F1 Score = 0.7851081729928306\n",
+      "******************************\n"
+     ]
+    },
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 800x600 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "AUC score: 0.785413721990113\n"
+     ]
+    }
+   ],
+   "source": [
+    "class_labels = np.unique(y)  # Assurez-vous que les étiquettes de classe sont correctes\n",
+    "evaluate_model_binary(y_test, y_pred, class_labels)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 32,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 1000x600 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "# plot learning curve\n",
+    "plot_learning_curve(knn, X_train_pca, y_train, cv=5, train_sizes=np.linspace(0.1, 1.0, 5))"
+   ]
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "base",
+   "language": "python",
+   "name": "python3"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.11.5"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 2
+}