{
 "cells": [
  {
   "cell_type": "markdown",
   "id": "a5696fd0",
   "metadata": {},
   "source": [
    "# Ensemble-Based Machine Learning for Intrusion Detection Using the NSL-KDD Dataset"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "6a9b0897",
   "metadata": {},
   "source": [
    "# Setup and utilities"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "ea69b9d6",
   "metadata": {},
   "outputs": [],
   "source": [
    "import os\n",
    "import time\n",
    "import pandas as pd\n",
    "import numpy as np\n",
    "import matplotlib.pyplot as plt\n",
    "import seaborn as sns\n",
    "\n",
    "# Scikit-learn imports\n",
    "from sklearn.compose import ColumnTransformer\n",
    "from sklearn.pipeline import Pipeline\n",
    "from sklearn.preprocessing import OneHotEncoder, StandardScaler, LabelEncoder\n",
    "from sklearn.model_selection import StratifiedShuffleSplit, RandomizedSearchCV\n",
    "from sklearn.ensemble import RandomForestClassifier, HistGradientBoostingClassifier\n",
    "from sklearn.inspection import permutation_importance\n",
    "# IMPORTING SPECIFIC METRICS TO AVOID KEYERRORS\n",
    "from sklearn.metrics import (\n",
    "    classification_report, \n",
    "    confusion_matrix, \n",
    "    accuracy_score, \n",
    "    f1_score\n",
    ")\n",
    "from sklearn.impute import SimpleImputer\n",
    "\n",
    "# Suppress warnings\n",
    "import warnings\n",
    "warnings.filterwarnings(\"ignore\")\n",
    "\n",
    "# ==========================================\n",
    "# 1. Configuration\n",
    "# ==========================================\n",
    "TRAIN_PATH = \"kdd_train.csv\"\n",
    "TEST_PATH = \"kdd_test.csv\"\n",
    "TARGET_COL = \"label\"\n",
    "RANDOM_STATE = 42\n",
    "CV_FOLDS = 3 \n",
    "\n",
    "plt.style.use(\"seaborn-v0_8-whitegrid\")"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "2f0221ed",
   "metadata": {},
   "source": [
    "# Data Ingestion & Cleaning"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "5cbe7392",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Loading kdd_train.csv...\n",
      "Loading kdd_test.csv...\n"
     ]
    }
   ],
   "source": [
    "# ==========================================\n",
    "# 2. Data Ingestion & Cleaning \n",
    "# ==========================================\n",
    "def load_data(path):\n",
    "    print(f\"Loading {path}...\")\n",
    "    df = pd.read_csv(path)\n",
    "    \n",
    "    # Standardize column names\n",
    "    df.columns = df.columns.str.strip()\n",
    "    \n",
    "    # Rename 'labels' or 'class' to 'label'\n",
    "    if 'labels' in df.columns:\n",
    "        df.rename(columns={'labels': 'label'}, inplace=True)\n",
    "    elif 'class' in df.columns:\n",
    "        df.rename(columns={'class': 'label'}, inplace=True)\n",
    "        \n",
    "    # [cite_start]Clean whitespace in text columns [cite: 2]\n",
    "    obj_cols = df.select_dtypes(include=['object']).columns\n",
    "    for col in obj_cols:\n",
    "        df[col] = df[col].str.strip()\n",
    "        \n",
    "    return df\n",
    "\n",
    "# Load Data\n",
    "train_df = load_data(TRAIN_PATH)\n",
    "test_df = load_data(TEST_PATH)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "8a2d57ea",
   "metadata": {},
   "source": [
    "# Data Analysis Visualization"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "e0fd9ed5",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1200x600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "-> Generated Class Distribution Plot\n"
     ]
    }
   ],
   "source": [
    "\n",
    "# ==========================================\n",
    "# 3. Data Analysis Visualization\n",
    "# ==========================================\n",
    "def plot_class_distribution(train, test, target_col):\n",
    "    \"\"\"Plots the count of each class to show imbalance.\"\"\"\n",
    "    plt.figure(figsize=(12, 6))\n",
    "    \n",
    "    # Get counts\n",
    "    train_counts = train[target_col].value_counts().reset_index()\n",
    "    train_counts.columns = ['Class', 'Count']\n",
    "    train_counts['Set'] = 'Train'\n",
    "    \n",
    "    test_counts = test[target_col].value_counts().reset_index()\n",
    "    test_counts.columns = ['Class', 'Count']\n",
    "    test_counts['Set'] = 'Test'\n",
    "    \n",
    "    combined = pd.concat([train_counts, test_counts])\n",
    "    \n",
    "    sns.barplot(data=combined, x='Class', y='Count', hue='Set', palette='viridis')\n",
    "    plt.title(\"Class Distribution in Train vs Test Sets (Data Imbalance Analysis)\")\n",
    "    plt.xticks(rotation=45)\n",
    "    plt.tight_layout()\n",
    "    plt.show()\n",
    "    print(\"-> Generated Class Distribution Plot\")\n",
    "\n",
    "plot_class_distribution(train_df, test_df, TARGET_COL)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "3c318781",
   "metadata": {},
   "source": [
    "# Encoding & Splitting"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "2972819a",
   "metadata": {},
   "outputs": [],
   "source": [
    "\n",
    "# ==========================================\n",
    "# 4. Encoding & Splitting \n",
    "# ==========================================\n",
    "# Fit LabelEncoder on combined data to handle all classes\n",
    "all_labels = pd.concat([train_df[TARGET_COL], test_df[TARGET_COL]]).unique()\n",
    "le = LabelEncoder()\n",
    "le.fit(all_labels)\n",
    "\n",
    "y_train = le.transform(train_df[TARGET_COL])\n",
    "y_test = le.transform(test_df[TARGET_COL])\n",
    "\n",
    "X_train = train_df.drop(columns=[TARGET_COL])\n",
    "X_test = test_df.drop(columns=[TARGET_COL])"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "539720fe",
   "metadata": {},
   "source": [
    "# Preprocessing Pipeline"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "8622f070",
   "metadata": {},
   "outputs": [],
   "source": [
    "# ==========================================\n",
    "# 5. Preprocessing Pipeline \n",
    "# ==========================================\n",
    "# Select columns by dtype\n",
    "numeric_cols = X_train.select_dtypes(include=['int64', 'float64']).columns.tolist()\n",
    "categorical_cols = X_train.select_dtypes(include=['object', 'category']).columns.tolist()\n",
    "\n",
    "preprocessor = ColumnTransformer(\n",
    "    transformers=[\n",
    "        ('num', Pipeline(steps=[\n",
    "            ('imputer', SimpleImputer(strategy='median')),\n",
    "            ('scaler', StandardScaler())\n",
    "        ]), numeric_cols),\n",
    "        ('cat', Pipeline(steps=[\n",
    "            ('imputer', SimpleImputer(strategy='constant', fill_value='missing')),\n",
    "            ('onehot', OneHotEncoder(handle_unknown='ignore', sparse_output=False))\n",
    "        ]), categorical_cols)\n",
    "    ],\n",
    "    verbose_feature_names_out=False\n",
    ")"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "8bc76fb6",
   "metadata": {},
   "source": [
    "# Model Training & Evaluation Loop"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "89d21878",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      "========================================\n",
      "Processing Model: RandomForest\n",
      "========================================\n",
      "-> Best Params: {'classifier__n_estimators': 100, 'classifier__min_samples_split': 2, 'classifier__max_depth': None}\n",
      "\n",
      "Classification Report:\n",
      "                 precision    recall  f1-score   support\n",
      "\n",
      "        apache2       0.00      0.00      0.00       228\n",
      "           back       0.95      1.00      0.97       227\n",
      "buffer_overflow       1.00      0.41      0.58        17\n",
      "      ftp_write       1.00      0.50      0.67         2\n",
      "   guess_passwd       1.00      0.02      0.04       411\n",
      "     httptunnel       0.00      0.00      0.00        41\n",
      "           imap       1.00      1.00      1.00         2\n",
      "        ipsweep       0.96      1.00      0.98       479\n",
      "           land       1.00      1.00      1.00         2\n",
      "     loadmodule       1.00      0.75      0.86         4\n",
      "       mailbomb       0.00      0.00      0.00        94\n",
      "          mscan       0.00      0.00      0.00       310\n",
      "       multihop       1.00      0.11      0.20         9\n",
      "          named       0.00      0.00      0.00         2\n",
      "        neptune       0.99      1.00      1.00      6654\n",
      "           nmap       0.93      0.99      0.96       206\n",
      "         normal       0.87      0.99      0.93     11245\n",
      "           perl       0.00      0.00      0.00         1\n",
      "            phf       1.00      1.00      1.00         1\n",
      "            pod       0.89      0.94      0.92        35\n",
      "      portsweep       0.96      1.00      0.98       371\n",
      "   processtable       0.00      0.00      0.00       211\n",
      "             ps       0.00      0.00      0.00         9\n",
      "        rootkit       1.00      0.25      0.40         4\n",
      "          saint       0.00      0.00      0.00        93\n",
      "          satan       0.86      1.00      0.92       698\n",
      "       sendmail       0.00      0.00      0.00         8\n",
      "          smurf       0.99      1.00      1.00       540\n",
      "  snmpgetattack       0.00      0.00      0.00        43\n",
      "      snmpguess       0.00      0.00      0.00        99\n",
      "            spy       0.00      0.00      0.00         0\n",
      "       teardrop       0.89      1.00      0.94       104\n",
      "    warezclient       0.99      1.00      1.00       107\n",
      "    warezmaster       0.75      0.01      0.02       279\n",
      "          xlock       0.00      0.00      0.00         4\n",
      "         xsnoop       0.00      0.00      0.00         1\n",
      "          xterm       0.00      0.00      0.00         3\n",
      "\n",
      "      micro avg       0.91      0.91      0.91     22544\n",
      "      macro avg       0.54      0.43      0.44     22544\n",
      "   weighted avg       0.87      0.91      0.88     22544\n",
      "\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": [
      "-> Calculating Feature Importance (Permutation)...\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1000x600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      "========================================\n",
      "Processing Model: HistGradientBoosting\n",
      "========================================\n",
      "-> Best Params: {'classifier__max_iter': 100, 'classifier__max_depth': 10, 'classifier__learning_rate': 0.01}\n",
      "\n",
      "Classification Report:\n",
      "                 precision    recall  f1-score   support\n",
      "\n",
      "        apache2       0.00      0.00      0.00       228\n",
      "           back       0.61      0.99      0.75       227\n",
      "buffer_overflow       0.83      0.59      0.69        17\n",
      "      ftp_write       0.02      0.50      0.03         2\n",
      "   guess_passwd       0.99      0.40      0.57       411\n",
      "     httptunnel       0.00      0.00      0.00        41\n",
      "           imap       0.02      0.50      0.03         2\n",
      "        ipsweep       0.99      0.99      0.99       479\n",
      "           land       1.00      0.50      0.67         2\n",
      "     loadmodule       0.50      0.75      0.60         4\n",
      "       mailbomb       0.00      0.00      0.00        94\n",
      "          mscan       0.00      0.00      0.00       310\n",
      "       multihop       0.02      0.11      0.03         9\n",
      "          named       0.00      0.00      0.00         2\n",
      "        neptune       0.99      1.00      0.99      6654\n",
      "           nmap       1.00      0.97      0.99       206\n",
      "         normal       0.90      0.99      0.94     11245\n",
      "           perl       1.00      1.00      1.00         1\n",
      "            phf       0.00      0.00      0.00         1\n",
      "            pod       0.89      0.91      0.90        35\n",
      "      portsweep       0.95      0.99      0.97       371\n",
      "   processtable       0.00      0.00      0.00       211\n",
      "             ps       0.00      0.00      0.00         9\n",
      "        rootkit       0.00      0.00      0.00         4\n",
      "          saint       0.00      0.00      0.00        93\n",
      "          satan       0.85      0.99      0.91       698\n",
      "       sendmail       0.00      0.00      0.00         8\n",
      "          smurf       1.00      1.00      1.00       540\n",
      "  snmpgetattack       0.00      0.00      0.00        43\n",
      "      snmpguess       0.00      0.00      0.00        99\n",
      "            spy       0.00      0.00      0.00         0\n",
      "       teardrop       0.89      1.00      0.94       104\n",
      "    warezclient       1.00      0.96      0.98       107\n",
      "    warezmaster       0.86      0.04      0.08       279\n",
      "          xlock       0.00      0.00      0.00         4\n",
      "         xsnoop       0.00      0.00      0.00         1\n",
      "          xterm       0.00      0.00      0.00         3\n",
      "\n",
      "      micro avg       0.92      0.92      0.92     22544\n",
      "      macro avg       0.41      0.41      0.38     22544\n",
      "   weighted avg       0.88      0.92      0.89     22544\n",
      "\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": [
      "-> Calculating Feature Importance (Permutation)...\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1000x600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "\n",
    "# ==========================================\n",
    "# 6. Model Training & Evaluation Loop \n",
    "# ==========================================\n",
    "models_config = {\n",
    "    'RandomForest': {\n",
    "        'model': RandomForestClassifier(random_state=RANDOM_STATE, n_jobs=-1),\n",
    "        'params': {\n",
    "            'classifier__n_estimators': [50, 100],\n",
    "            'classifier__max_depth': [10, 20, None],\n",
    "            'classifier__min_samples_split': [2, 10]\n",
    "        }\n",
    "    },\n",
    "    'HistGradientBoosting': {\n",
    "        'model': HistGradientBoostingClassifier(random_state=RANDOM_STATE),\n",
    "        'params': {\n",
    "            'classifier__learning_rate': [0.01, 0.1],\n",
    "            'classifier__max_iter': [50, 100],\n",
    "            'classifier__max_depth': [10, None]\n",
    "        }\n",
    "    }\n",
    "}\n",
    "\n",
    "results_data = []\n",
    "unique_label_ids = np.arange(len(le.classes_))\n",
    "\n",
    "for name, config in models_config.items():\n",
    "    print(f\"\\n{'='*40}\\nProcessing Model: {name}\\n{'='*40}\")\n",
    "    \n",
    "    pipeline = Pipeline(steps=[\n",
    "        ('preprocessor', preprocessor),\n",
    "        ('classifier', config['model'])\n",
    "    ])\n",
    "    \n",
    "    # --- Hyperparameter Tuning ---\n",
    "    search = RandomizedSearchCV(\n",
    "        pipeline,\n",
    "        param_distributions=config['params'],\n",
    "        n_iter=5,\n",
    "        cv=CV_FOLDS,\n",
    "        scoring='f1_weighted',\n",
    "        n_jobs=-1,\n",
    "        random_state=RANDOM_STATE\n",
    "    )\n",
    "    \n",
    "    start_time = time.time()\n",
    "    search.fit(X_train, y_train)\n",
    "    train_time = time.time() - start_time\n",
    "    \n",
    "    best_model = search.best_estimator_\n",
    "    print(f\"-> Best Params: {search.best_params_}\")\n",
    "    \n",
    "    # --- Prediction ---\n",
    "    start_time = time.time()\n",
    "    y_pred = best_model.predict(X_test)\n",
    "    inference_time = time.time() - start_time\n",
    "    \n",
    "    # --- ROBUST METRICS CALCULATION (Fixes KeyError) ---\n",
    "    # We calculate these separately to avoid dictionary errors\n",
    "    acc = accuracy_score(y_test, y_pred)\n",
    "    f1_mac = f1_score(y_test, y_pred, average='macro', zero_division=0)\n",
    "    f1_wgt = f1_score(y_test, y_pred, average='weighted', zero_division=0)\n",
    "    \n",
    "    results_data.append({\n",
    "        'Model': name,\n",
    "        'Accuracy': acc,\n",
    "        'Macro F1': f1_mac,\n",
    "        'Weighted F1': f1_wgt,\n",
    "        'Train Time (s)': round(train_time, 2),\n",
    "        'Infer Time (s)': round(inference_time, 2)\n",
    "    })\n",
    "    \n",
    "    # Print report for review\n",
    "    print(\"\\nClassification Report:\")\n",
    "    print(classification_report(y_test, y_pred, labels=unique_label_ids, target_names=le.classes_, zero_division=0))\n",
    "\n",
    "    #  Visual 1: Confusion Matrix \n",
    "    cm = confusion_matrix(y_test, y_pred, labels=unique_label_ids)\n",
    "    \n",
    "    # Filter for top 10 most frequent classes in TEST set for readability\n",
    "    top_indices = pd.Series(y_test).value_counts().nlargest(10).index\n",
    "    filtered_cm = cm[np.ix_(top_indices, top_indices)]\n",
    "    filtered_classes = le.inverse_transform(top_indices)\n",
    "\n",
    "    plt.figure(figsize=(10, 7))\n",
    "    sns.heatmap(filtered_cm, annot=True, fmt='d', cmap='Blues',\n",
    "                xticklabels=filtered_classes, yticklabels=filtered_classes)\n",
    "    plt.title(f'Confusion Matrix (Top 10 Classes) - {name}')\n",
    "    plt.ylabel('True Label')\n",
    "    plt.xlabel('Predicted Label')\n",
    "    plt.tight_layout()\n",
    "    plt.show()\n",
    "\n",
    "    #  Visual 2: Feature Importance \n",
    "    print(\"-> Calculating Feature Importance (Permutation)...\")\n",
    "    subset_size = 1000 \n",
    "    perm_result = permutation_importance(\n",
    "        best_model, X_test[:subset_size], y_test[:subset_size], \n",
    "        n_repeats=5, random_state=RANDOM_STATE, n_jobs=-1\n",
    "    )\n",
    "    \n",
    "    feature_names = best_model.named_steps['preprocessor'].get_feature_names_out()\n",
    "    sorted_idx = perm_result.importances_mean.argsort()[::-1][:15]\n",
    "    \n",
    "    plt.figure(figsize=(10, 6))\n",
    "    plt.bar(range(len(sorted_idx)), perm_result.importances_mean[sorted_idx], align='center')\n",
    "    plt.xticks(range(len(sorted_idx)), [feature_names[i] for i in sorted_idx], rotation=45, ha='right')\n",
    "    plt.title(f\"Top 15 Feature Importances (Permutation) - {name}\")\n",
    "    plt.tight_layout()\n",
    "    plt.show()\n"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "0c0a7429",
   "metadata": {},
   "source": [
    "# Final Comparison Table"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "95ce7f00",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      "========================================\n",
      "FINAL RESULTS SUMMARY\n",
      "========================================\n",
      "               Model  Accuracy  Macro F1  Weighted F1  Train Time (s)  Infer Time (s)\n",
      "        RandomForest  0.913813  0.454262     0.876402          103.32            0.42\n",
      "HistGradientBoosting  0.918071  0.391048     0.891289          481.02            5.09\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 800x500 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "\n",
    "# ==========================================\n",
    "# [cite_start]7. Final Comparison Table [cite: 9]\n",
    "# ==========================================\n",
    "print(\"\\n\" + \"=\"*40)\n",
    "print(\"FINAL RESULTS SUMMARY\")\n",
    "print(\"=\"*40)\n",
    "results_df = pd.DataFrame(results_data)\n",
    "print(results_df.to_string(index=False))\n",
    "\n",
    "# Visualize Comparison\n",
    "results_df.set_index('Model')[['Accuracy', 'Weighted F1']].plot(kind='bar', figsize=(8, 5))\n",
    "plt.title(\"Model Performance Comparison\")\n",
    "plt.ylim(0.5, 1.0)\n",
    "plt.xticks(rotation=0)\n",
    "plt.tight_layout()\n",
    "plt.show()"
   ]
  }
 ],
 "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": "3.11.7"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 5
}