{
  "cells": [
    {
      "cell_type": "markdown",
      "source": [
        "# **Assignment solution for ensemble-based intrusion detection on NSL-KDD**"
      ],
      "metadata": {
        "id": "DrNyvPisC1p0"
      }
    },
    {
      "cell_type": "markdown",
      "source": [
        "# Data loading and preprocessing"
      ],
      "metadata": {
        "id": "c_VlqMExCsMU"
      }
    },
    {
      "cell_type": "code",
      "execution_count": 1,
      "metadata": {
        "id": "fg26gI9IlsUU"
      },
      "outputs": [],
      "source": [
        "# 1) Imports\n",
        "import pandas as pd\n",
        "import numpy as np\n",
        "import json\n",
        "import time\n",
        "import matplotlib.pyplot as plt\n",
        "import seaborn as sns\n",
        "\n",
        "from sklearn.preprocessing import LabelEncoder, OneHotEncoder, StandardScaler\n",
        "from sklearn.compose import ColumnTransformer\n",
        "from sklearn.pipeline import Pipeline\n",
        "from sklearn.model_selection import StratifiedKFold, train_test_split, GridSearchCV\n",
        "from sklearn.metrics import (accuracy_score, precision_score, recall_score, f1_score,\n",
        "                             classification_report, confusion_matrix)\n",
        "\n",
        "from sklearn.ensemble import RandomForestClassifier, HistGradientBoostingClassifier\n",
        "from sklearn.inspection import permutation_importance\n",
        "\n",
        "RANDOM_STATE = 42"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 2,
      "metadata": {
        "id": "vf1LXHSOmENj"
      },
      "outputs": [],
      "source": [
        "# 2) Load NSL-KDD data (update paths for your environment)\n",
        "train_path = \"KDDTrain+.txt\"\n",
        "test_path  = \"KDDTest+.txt\"\n",
        "\n",
        "# NSL-KDD has 41 features + label. Many distributions include headers; if yours doesn't, set column names manually.\n",
        "# If your files have headers, set header='infer'; otherwise, provide columns explicitly.\n",
        "df_train = pd.read_csv(train_path, header=None)\n",
        "df_test  = pd.read_csv(test_path, header=None)\n",
        "\n",
        "# Define columns (if your files lack headers). Adjust if your distribution includes 'difficulty' column.\n",
        "feature_names = [\n",
        "    \"duration\",\"protocol_type\",\"service\",\"flag\",\"src_bytes\",\"dst_bytes\",\"land\",\"wrong_fragment\",\"urgent\",\n",
        "    \"hot\",\"num_failed_logins\",\"logged_in\",\"num_compromised\",\"root_shell\",\"su_attempted\",\"num_root\",\"num_file_creations\",\n",
        "    \"num_shells\",\"num_access_files\",\"num_outbound_cmds\",\"is_host_login\",\"is_guest_login\",\"count\",\"srv_count\",\n",
        "    \"serror_rate\",\"srv_serror_rate\",\"rerror_rate\",\"srv_rerror_rate\",\"same_srv_rate\",\"diff_srv_rate\",\"srv_diff_host_rate\",\n",
        "    \"dst_host_count\",\"dst_host_srv_count\",\"dst_host_same_srv_rate\",\"dst_host_diff_srv_rate\",\"dst_host_same_src_port_rate\",\n",
        "    \"dst_host_srv_diff_host_rate\",\"dst_host_serror_rate\",\"dst_host_srv_serror_rate\",\"dst_host_rerror_rate\",\"dst_host_srv_rerror_rate\",\n",
        "]\n",
        "label_col = \"label\"\n",
        "difficulty_col = \"difficulty_level\"\n",
        "\n",
        "# Assign columns\n",
        "df_train.columns = feature_names + [label_col, difficulty_col]\n",
        "df_test.columns  = feature_names + [label_col, difficulty_col]\n"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 3,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "1dI1exfknaQA",
        "outputId": "2788a916-fd27-4a84-f067-8de4f98fccfb"
      },
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Encoded 40 classes. Example mapping: [('apache2', np.int64(0)), ('back', np.int64(1)), ('buffer_overflow', np.int64(2)), ('ftp_write', np.int64(3)), ('guess_passwd', np.int64(4)), ('httptunnel', np.int64(5)), ('imap', np.int64(6)), ('ipsweep', np.int64(7)), ('land', np.int64(8)), ('loadmodule', np.int64(9))]\n",
            "Unseen labels in test set (relative to train): {'named', 'httptunnel', 'xlock', 'sqlattack', 'ps', 'udpstorm', 'snmpgetattack', 'snmpguess', 'sendmail', 'worm', 'xsnoop', 'processtable', 'xterm', 'saint', 'apache2', 'mscan', 'mailbomb'}\n"
          ]
        }
      ],
      "source": [
        "# 3) Label encoding: fit on combined labels to avoid unseen label errors\n",
        "le = LabelEncoder()\n",
        "all_labels = pd.concat([df_train[label_col], df_test[label_col]], axis=0)\n",
        "le.fit(all_labels)\n",
        "\n",
        "df_train[\"label_enc\"] = le.transform(df_train[label_col])\n",
        "df_test[\"label_enc\"]  = le.transform(df_test[label_col])\n",
        "\n",
        "label_mapping = dict(zip(le.classes_, le.transform(le.classes_)))\n",
        "print(f\"Encoded {len(le.classes_)} classes. Example mapping: {list(label_mapping.items())[:10]}\")\n",
        "\n",
        "# Optional diagnostic: unseen attacks present in test but not in train\n",
        "unseen_in_test = set(df_test[label_col]) - set(df_train[label_col])\n",
        "print(\"Unseen labels in test set (relative to train):\", unseen_in_test)\n"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 4,
      "metadata": {
        "id": "57vPuS2Gnk_H"
      },
      "outputs": [],
      "source": [
        "# 4) Feature matrices\n",
        "FEATURE_COLS = feature_names\n",
        "TARGET_COL = \"label_enc\"\n",
        "\n",
        "X_train = df_train[FEATURE_COLS]\n",
        "y_train = df_train[TARGET_COL]\n",
        "X_test  = df_test[FEATURE_COLS]\n",
        "y_test  = df_test[TARGET_COL]"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 5,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "sk1wowxnnvsx",
        "outputId": "88249f22-c15d-44b4-c50b-4e73788913b3"
      },
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Preprocessor defined with 38 numeric and 3 categorical columns.\n"
          ]
        }
      ],
      "source": [
        "# 5) Preprocessor: one-hot for categorical, scale numeric\n",
        "categorical_cols = [\"protocol_type\", \"service\", \"flag\"]\n",
        "numeric_cols = [c for c in FEATURE_COLS if c not in categorical_cols]\n",
        "\n",
        "numeric_transformer = Pipeline(steps=[(\"scaler\", StandardScaler())])\n",
        "categorical_transformer = Pipeline(steps=[(\"onehot\", OneHotEncoder(handle_unknown=\"ignore\", sparse_output=False))])\n",
        "\n",
        "preprocessor = ColumnTransformer(\n",
        "    transformers=[\n",
        "        (\"num\", numeric_transformer, numeric_cols),\n",
        "        (\"cat\", categorical_transformer, categorical_cols)\n",
        "    ],\n",
        "    remainder=\"drop\"\n",
        ")\n",
        "\n",
        "print(\"Preprocessor defined with\", len(numeric_cols), \"numeric and\", len(categorical_cols), \"categorical columns.\")"
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "# Exploratory data analysis (brief, assignment-aligned)"
      ],
      "metadata": {
        "id": "7Wl65ac2CQsI"
      }
    },
    {
      "cell_type": "code",
      "execution_count": 6,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 808
        },
        "id": "jFYRsjJRn2Wp",
        "outputId": "62c277f9-76c3-4073-f3d3-3149e10e1174"
      },
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 1000x400 with 1 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {}
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 1000x400 with 1 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {}
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "                           mean           std  min           max\n",
            "duration             287.144650  2.604515e+03  0.0  4.290800e+04\n",
            "src_bytes          45566.743000  5.870331e+06  0.0  1.379964e+09\n",
            "dst_bytes          19779.114421  4.021269e+06  0.0  1.309937e+09\n",
            "land                   0.000198  1.408607e-02  0.0  1.000000e+00\n",
            "wrong_fragment         0.022687  2.535300e-01  0.0  3.000000e+00\n",
            "urgent                 0.000111  1.436603e-02  0.0  3.000000e+00\n",
            "hot                    0.204409  2.149968e+00  0.0  7.700000e+01\n",
            "num_failed_logins      0.001222  4.523914e-02  0.0  5.000000e+00\n",
            "logged_in              0.395736  4.890101e-01  0.0  1.000000e+00\n",
            "num_compromised        0.279250  2.394204e+01  0.0  7.479000e+03\n"
          ]
        }
      ],
      "source": [
        "# Class distribution (train vs test)\n",
        "plt.figure(figsize=(10,4))\n",
        "sns.countplot(y=df_train[label_col], order=df_train[label_col].value_counts().index)\n",
        "plt.title(\"Training label distribution\")\n",
        "plt.tight_layout()\n",
        "plt.show()\n",
        "\n",
        "plt.figure(figsize=(10,4))\n",
        "sns.countplot(y=df_test[label_col], order=df_test[label_col].value_counts().index)\n",
        "plt.title(\"Test label distribution\")\n",
        "plt.tight_layout()\n",
        "plt.show()\n",
        "\n",
        "# Basic numeric feature stats\n",
        "desc = X_train[numeric_cols].describe().T\n",
        "print(desc[['mean', 'std', 'min', 'max']].head(10))\n"
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "# Ensemble model development and fast baseline evaluation"
      ],
      "metadata": {
        "id": "VHjOTOWAB6p9"
      }
    },
    {
      "cell_type": "code",
      "execution_count": 7,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "aKkR6HFzoCMs",
        "outputId": "21aa48dd-0999-4ae4-e82d-7f80c8e7d1cb"
      },
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Removed 2 samples belonging to classes with < 3 occurrences.\n",
            "New y_train size: 125971\n",
            "Random Forest (Baseline): CV Macro-F1 = 0.7848 ± 0.0083 | Time: 32.2s\n",
            "HistGB (Baseline): CV Macro-F1 = 0.4377 ± 0.0189 | Time: 42.1s\n"
          ]
        }
      ],
      "source": [
        "# Pipelines\n",
        "rf_baseline = Pipeline(steps=[\n",
        "    (\"preprocess\", preprocessor),\n",
        "    (\"clf\", RandomForestClassifier(\n",
        "        n_estimators=100,          # reduced for speed\n",
        "        max_depth=20,\n",
        "        min_samples_split=5,\n",
        "        min_samples_leaf=2,\n",
        "        n_jobs=-1,\n",
        "        class_weight=\"balanced_subsample\",\n",
        "        random_state=RANDOM_STATE\n",
        "    ))\n",
        "])\n",
        "\n",
        "gb_baseline = Pipeline(steps=[\n",
        "    (\"preprocess\", preprocessor),\n",
        "    (\"clf\", HistGradientBoostingClassifier(\n",
        "        max_iter=100,              # fast, equivalent to boosting rounds\n",
        "        learning_rate=0.1,\n",
        "        max_depth=5,\n",
        "        random_state=RANDOM_STATE\n",
        "    ))\n",
        "])\n",
        "\n",
        "# Stratified 3-fold CV for speed\n",
        "cv = StratifiedKFold(n_splits=3, shuffle=True, random_state=RANDOM_STATE)\n",
        "\n",
        "def evaluate_cv(model, X, y, scoring=\"f1_macro\"):\n",
        "    start = time.time()\n",
        "    scores = []\n",
        "    for train_idx, val_idx in cv.split(X, y):\n",
        "        X_tr, X_val = X.iloc[train_idx], X.iloc[val_idx]\n",
        "        y_tr, y_val = y.iloc[train_idx], y.iloc[val_idx]\n",
        "        model.fit(X_tr, y_tr)\n",
        "        y_pred = model.predict(X_val)\n",
        "        s = f1_score(y_val, y_pred, average=\"macro\", zero_division=0)\n",
        "        scores.append(s)\n",
        "    duration = time.time() - start\n",
        "    return np.mean(scores), np.std(scores), duration\n",
        "\n",
        "# --- FIX: Filter out classes with less than n_splits samples from y_train ---\n",
        "# Get counts for each class\n",
        "class_counts = y_train.value_counts()\n",
        "\n",
        "# Identify classes with fewer than n_splits (3) samples\n",
        "rare_classes = class_counts[class_counts < cv.n_splits].index\n",
        "\n",
        "# Filter X_train and y_train to exclude samples belonging to rare classes\n",
        "# Keep only samples where the label is NOT in rare_classes\n",
        "initial_len = len(y_train)\n",
        "filtered_indices = y_train[~y_train.isin(rare_classes)].index\n",
        "X_train_filtered = X_train.loc[filtered_indices]\n",
        "y_train_filtered = y_train.loc[filtered_indices]\n",
        "\n",
        "print(f\"Removed {initial_len - len(y_train_filtered)} samples belonging to classes with < {cv.n_splits} occurrences.\")\n",
        "print(f\"New y_train size: {len(y_train_filtered)}\")\n",
        "# -------------------------------------------------------------------------\n",
        "\n",
        "for name, model in [(\"Random Forest (Baseline)\", rf_baseline), (\"HistGB (Baseline)\", gb_baseline)]:\n",
        "    # Use the filtered data for evaluation\n",
        "    mean_f1, std_f1, elapsed = evaluate_cv(model, X_train_filtered, y_train_filtered)\n",
        "    print(f\"{name}: CV Macro-F1 = {mean_f1:.4f} \\u00b1 {std_f1:.4f} | Time: {elapsed:.1f}s\")\n"
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "# Compact hyperparameter tuning (fast GridSearchCV)\n",
        "# python"
      ],
      "metadata": {
        "id": "61jrXyayBx9B"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "from sklearn.model_selection import RandomizedSearchCV, StratifiedShuffleSplit\n",
        "\n",
        "# Use StratifiedShuffleSplit with fewer splits to reduce load\n",
        "tune_cv = StratifiedShuffleSplit(n_splits=2, test_size=0.3, random_state=RANDOM_STATE)\n",
        "\n",
        "# Random Forest compact search\n",
        "rf_param_dist = {\n",
        "    \"clf__n_estimators\": [100, 150],\n",
        "    \"clf__max_depth\": [10, None],\n",
        "    \"clf__min_samples_split\": [2, 5],\n",
        "    \"clf__min_samples_leaf\": [1, 2],\n",
        "    \"clf__max_features\": [\"sqrt\"]\n",
        "}\n",
        "\n",
        "rf_search = RandomizedSearchCV(\n",
        "    rf_baseline,\n",
        "    param_distributions=rf_param_dist,\n",
        "    n_iter=4,                # only try 4 random combinations\n",
        "    cv=tune_cv,\n",
        "    scoring=\"f1_macro\",\n",
        "    n_jobs=-1,\n",
        "    random_state=RANDOM_STATE,\n",
        "    verbose=1\n",
        ")\n",
        "\n",
        "start = time.time()\n",
        "rf_search.fit(X_train_filtered, y_train_filtered)\n",
        "rf_time = time.time() - start\n",
        "print(\"RF best params:\", rf_search.best_params_)\n",
        "print(f\"RF best CV Macro-F1: {rf_search.best_score_:.4f} (search time {rf_time:.1f}s)\")\n",
        "best_rf = rf_search.best_estimator_\n",
        "\n",
        "# HistGradientBoosting compact search\n",
        "gb_param_dist = {\n",
        "    \"clf__max_iter\": [100, 150],\n",
        "    \"clf__learning_rate\": [0.05, 0.1],\n",
        "    \"clf__max_depth\": [3, 5]\n",
        "}\n",
        "\n",
        "gb_search = RandomizedSearchCV(\n",
        "    gb_baseline,\n",
        "    param_distributions=gb_param_dist,\n",
        "    n_iter=3,                # only try 3 random combinations\n",
        "    cv=tune_cv,\n",
        "    scoring=\"f1_macro\",\n",
        "    n_jobs=-1,\n",
        "    random_state=RANDOM_STATE,\n",
        "    verbose=1\n",
        ")\n",
        "\n",
        "start = time.time()\n",
        "gb_search.fit(X_train_filtered, y_train_filtered)\n",
        "gb_time = time.time() - start\n",
        "print(\"HistGB best params:\", gb_search.best_params_)\n",
        "print(f\"HistGB best CV Macro-F1: {gb_search.best_score_:.4f} (search time {gb_time:.1f}s)\")\n",
        "best_gb = gb_search.best_estimator_\n"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "HIO5G0tU-Ytt",
        "outputId": "0bea7b07-79d7-4432-84b1-b181849b489d"
      },
      "execution_count": 12,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Fitting 2 folds for each of 4 candidates, totalling 8 fits\n",
            "RF best params: {'clf__n_estimators': 100, 'clf__min_samples_split': 5, 'clf__min_samples_leaf': 2, 'clf__max_features': 'sqrt', 'clf__max_depth': None}\n",
            "RF best CV Macro-F1: 0.7400 (search time 114.4s)\n",
            "Fitting 2 folds for each of 3 candidates, totalling 6 fits\n",
            "HistGB best params: {'clf__max_iter': 150, 'clf__max_depth': 3, 'clf__learning_rate': 0.05}\n",
            "HistGB best CV Macro-F1: 0.5331 (search time 81.0s)\n"
          ]
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "# Final evaluation on the test set"
      ],
      "metadata": {
        "id": "m39py8QgBgQG"
      }
    },
    {
      "cell_type": "code",
      "execution_count": 13,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 1000
        },
        "id": "on1EVKMNpspc",
        "outputId": "668ffb2c-70f7-4943-9ec3-54261d263ed5"
      },
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\n",
            "=== Random Forest (Tuned) Evaluation (Test) ===\n",
            "Inference time: 0.233s\n",
            "Accuracy: 0.7213\n",
            "Macro Precision: 0.2577 | Macro Recall: 0.3052 | Macro F1: 0.2572\n",
            "Weighted Precision: 0.5716 | Weighted Recall: 0.7213 | Weighted F1: 0.6187\n",
            "\n",
            "Per-class classification report:\n",
            "                 precision    recall  f1-score   support\n",
            "\n",
            "        apache2       0.00      0.00      0.00       737\n",
            "           back       0.52      1.00      0.68       359\n",
            "buffer_overflow       0.33      0.05      0.09        20\n",
            "      ftp_write       0.00      0.00      0.00         3\n",
            "   guess_passwd       0.00      0.00      0.00      1231\n",
            "     httptunnel       0.00      0.00      0.00       133\n",
            "           imap       0.00      0.00      0.00         1\n",
            "        ipsweep       0.84      0.98      0.90       141\n",
            "           land       1.00      1.00      1.00         7\n",
            "     loadmodule       0.00      0.00      0.00         2\n",
            "       mailbomb       0.00      0.00      0.00       293\n",
            "          mscan       0.00      0.00      0.00       996\n",
            "       multihop       0.00      0.00      0.00        18\n",
            "          named       0.00      0.00      0.00        17\n",
            "        neptune       0.96      0.99      0.98      4657\n",
            "           nmap       0.50      1.00      0.67        73\n",
            "         normal       0.65      0.98      0.78      9711\n",
            "           perl       0.50      0.50      0.50         2\n",
            "            phf       1.00      0.50      0.67         2\n",
            "            pod       0.71      0.95      0.81        41\n",
            "      portsweep       0.67      0.96      0.79       157\n",
            "   processtable       0.00      0.00      0.00       685\n",
            "             ps       0.00      0.00      0.00        15\n",
            "        rootkit       0.00      0.00      0.00        13\n",
            "          saint       0.00      0.00      0.00       319\n",
            "          satan       0.63      1.00      0.78       735\n",
            "       sendmail       0.00      0.00      0.00        14\n",
            "          smurf       1.00      1.00      1.00       665\n",
            "  snmpgetattack       0.00      0.00      0.00       178\n",
            "      snmpguess       0.00      0.00      0.00       331\n",
            "            spy       0.00      0.00      0.00         0\n",
            "      sqlattack       0.00      0.00      0.00         2\n",
            "       teardrop       0.24      1.00      0.39        12\n",
            "       udpstorm       0.00      0.00      0.00         2\n",
            "    warezclient       0.00      0.00      0.00         0\n",
            "    warezmaster       0.50      0.00      0.00       944\n",
            "           worm       0.00      0.00      0.00         2\n",
            "          xlock       0.00      0.00      0.00         9\n",
            "         xsnoop       0.00      0.00      0.00         4\n",
            "          xterm       0.00      0.00      0.00        13\n",
            "\n",
            "       accuracy                           0.72     22544\n",
            "      macro avg       0.25      0.30      0.25     22544\n",
            "   weighted avg       0.57      0.72      0.62     22544\n",
            "\n"
          ]
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 1200x1000 with 2 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {}
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\n",
            "=== HistGradientBoosting (Tuned) Evaluation (Test) ===\n",
            "Inference time: 1.512s\n",
            "Accuracy: 0.6961\n",
            "Macro Precision: 0.1884 | Macro Recall: 0.2356 | Macro F1: 0.1892\n",
            "Weighted Precision: 0.5973 | Weighted Recall: 0.6961 | Weighted F1: 0.6226\n",
            "\n",
            "Per-class classification report:\n",
            "                 precision    recall  f1-score   support\n",
            "\n",
            "        apache2       0.00      0.00      0.00       737\n",
            "           back       0.02      0.03      0.03       359\n",
            "buffer_overflow       0.43      0.15      0.22        20\n",
            "      ftp_write       0.00      0.00      0.00         3\n",
            "   guess_passwd       0.98      0.26      0.42      1231\n",
            "     httptunnel       0.00      0.00      0.00       133\n",
            "           imap       0.00      0.00      0.00         1\n",
            "        ipsweep       0.96      0.97      0.97       141\n",
            "           land       0.00      0.00      0.00         7\n",
            "     loadmodule       0.14      0.50      0.22         2\n",
            "       mailbomb       0.00      0.00      0.00       293\n",
            "          mscan       0.00      0.00      0.00       996\n",
            "       multihop       0.02      0.06      0.03        18\n",
            "          named       0.00      0.00      0.00        17\n",
            "        neptune       0.96      0.99      0.98      4657\n",
            "           nmap       0.43      0.99      0.60        73\n",
            "         normal       0.66      0.95      0.78      9711\n",
            "           perl       0.00      0.00      0.00         2\n",
            "            phf       0.00      0.00      0.00         2\n",
            "            pod       0.67      0.90      0.77        41\n",
            "      portsweep       0.30      0.95      0.46       157\n",
            "   processtable       0.00      0.00      0.00       685\n",
            "             ps       0.00      0.00      0.00        15\n",
            "        rootkit       0.00      0.00      0.00        13\n",
            "          saint       0.00      0.00      0.00       319\n",
            "          satan       0.56      0.60      0.58       735\n",
            "       sendmail       0.00      0.00      0.00        14\n",
            "          smurf       0.98      1.00      0.99       665\n",
            "  snmpgetattack       0.00      0.00      0.00       178\n",
            "      snmpguess       0.00      0.00      0.00       331\n",
            "            spy       0.00      0.00      0.00         0\n",
            "      sqlattack       0.00      0.00      0.00         2\n",
            "       teardrop       0.21      0.83      0.34        12\n",
            "       udpstorm       0.00      0.00      0.00         2\n",
            "    warezclient       0.00      0.00      0.00         0\n",
            "    warezmaster       0.00      0.00      0.00       944\n",
            "           worm       0.00      0.00      0.00         2\n",
            "          xlock       0.00      0.00      0.00         9\n",
            "         xsnoop       0.00      0.00      0.00         4\n",
            "          xterm       0.00      0.00      0.00        13\n",
            "\n",
            "       accuracy                           0.70     22544\n",
            "      macro avg       0.18      0.23      0.18     22544\n",
            "   weighted avg       0.60      0.70      0.62     22544\n",
            "\n"
          ]
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 1200x1000 with 2 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {}
        }
      ],
      "source": [
        "from sklearn.metrics import (accuracy_score, precision_score, recall_score, f1_score,\n",
        "                             classification_report, confusion_matrix)\n",
        "\n",
        "def evaluate(model, X, y, model_name=\"Model\"):\n",
        "    start = time.time()\n",
        "    y_pred = model.predict(X)\n",
        "    elapsed = time.time() - start\n",
        "\n",
        "    # Ensure label alignment to avoid mismatch errors\n",
        "    labels = le.transform(le.classes_)  # integer labels for all known classes\n",
        "\n",
        "    acc = accuracy_score(y, y_pred)\n",
        "    prec_macro = precision_score(y, y_pred, average=\"macro\", zero_division=0)\n",
        "    rec_macro = recall_score(y, y_pred, average=\"macro\", zero_division=0)\n",
        "    f1_macro = f1_score(y, y_pred, average=\"macro\", zero_division=0)\n",
        "\n",
        "    prec_weighted = precision_score(y, y_pred, average=\"weighted\", zero_division=0)\n",
        "    rec_weighted = recall_score(y, y_pred, average=\"weighted\", zero_division=0)\n",
        "    f1_weighted = f1_score(y, y_pred, average=\"weighted\", zero_division=0)\n",
        "\n",
        "    print(f\"\\n=== {model_name} Evaluation (Test) ===\")\n",
        "    print(f\"Inference time: {elapsed:.3f}s\")\n",
        "    print(f\"Accuracy: {acc:.4f}\")\n",
        "    print(f\"Macro Precision: {prec_macro:.4f} | Macro Recall: {rec_macro:.4f} | Macro F1: {f1_macro:.4f}\")\n",
        "    print(f\"Weighted Precision: {prec_weighted:.4f} | Weighted Recall: {rec_weighted:.4f} | Weighted F1: {f1_weighted:.4f}\")\n",
        "    print(\"\\nPer-class classification report:\")\n",
        "    print(classification_report(y, y_pred, labels=labels, target_names=le.classes_, zero_division=0))\n",
        "\n",
        "    cm = confusion_matrix(y, y_pred, labels=labels)\n",
        "    plt.figure(figsize=(12, 10))\n",
        "    sns.heatmap(cm, annot=False, cmap=\"Blues\", xticklabels=le.classes_, yticklabels=le.classes_)\n",
        "    plt.title(f\"{model_name} Confusion Matrix (Test)\")\n",
        "    plt.xlabel(\"Predicted\")\n",
        "    plt.ylabel(\"True\")\n",
        "    plt.tight_layout()\n",
        "    plt.show()\n",
        "\n",
        "    return {\n",
        "        \"accuracy\": acc,\n",
        "        \"macro_precision\": prec_macro,\n",
        "        \"macro_recall\": rec_macro,\n",
        "        \"macro_f1\": f1_macro,\n",
        "        \"weighted_precision\": prec_weighted,\n",
        "        \"weighted_recall\": rec_weighted,\n",
        "        \"weighted_f1\": f1_weighted,\n",
        "        \"inference_time_sec\": elapsed\n",
        "    }\n",
        "\n",
        "# Check if best_rf is defined before evaluating\n",
        "if 'best_rf' in locals():\n",
        "    rf_metrics = evaluate(best_rf, X_test, y_test, \"Random Forest (Tuned)\")\n",
        "else:\n",
        "    print(\"Warning: Random Forest model (best_rf) not found. Please ensure the previous tuning cell executed successfully.\")\n",
        "    rf_metrics = None # Assign None or an empty dict if you prefer\n",
        "\n",
        "# Check if best_gb is defined before evaluating\n",
        "if 'best_gb' in locals():\n",
        "    gb_metrics = evaluate(best_gb, X_test, y_test, \"HistGradientBoosting (Tuned)\")\n",
        "else:\n",
        "    print(\"Warning: HistGradientBoosting model (best_gb) not found. Please ensure the previous tuning cell executed successfully.\")\n",
        "    gb_metrics = None # Assign None or an empty dict\n"
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "## Feature importance analysis and interpretation\n"
      ],
      "metadata": {
        "id": "UHxFkpb_AeNF"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "# 1) Get feature names after preprocessing (for RF)\n",
        "# Fit a copy to training data to access preprocessors\n",
        "best_rf.fit(X_train, y_train)\n",
        "\n",
        "# Extract one-hot feature names\n",
        "ohe = best_rf.named_steps[\"preprocess\"].named_transformers_[\"cat\"].named_steps[\"onehot\"]\n",
        "ohe_features = list(ohe.get_feature_names_out(categorical_cols))\n",
        "final_feature_names = numeric_cols + ohe_features\n",
        "\n",
        "# 2) Random Forest feature importance\n",
        "rf_importances = best_rf.named_steps[\"clf\"].feature_importances_\n",
        "rf_feat_imp = pd.DataFrame({\"feature\": final_feature_names, \"importance\": rf_importances})\n",
        "rf_feat_imp = rf_feat_imp.sort_values(by=\"importance\", ascending=False)\n",
        "\n",
        "top_k = 20\n",
        "plt.figure(figsize=(8, 10))\n",
        "sns.barplot(y=rf_feat_imp[\"feature\"].head(top_k), x=rf_feat_imp[\"importance\"].head(top_k), orient=\"h\")\n",
        "plt.title(\"Random Forest Top-20 Feature Importances\")\n",
        "plt.xlabel(\"Importance\")\n",
        "plt.ylabel(\"Feature\")\n",
        "plt.tight_layout()\n",
        "plt.show()\n",
        "\n",
        "# 3) Permutation importance (model-agnostic) on a sample for speed\n",
        "sample_idx = np.random.RandomState(RANDOM_STATE).choice(len(X_test), size=min(5000, len(X_test)), replace=False)\n",
        "X_sample = X_test.iloc[sample_idx]\n",
        "y_sample = y_test.iloc[sample_idx]\n",
        "\n",
        "# Use the tuned RF for permutation importance\n",
        "start = time.time()\n",
        "pi = permutation_importance(best_rf, X_sample, y_sample, n_repeats=5, random_state=RANDOM_STATE, scoring=\"f1_macro\")\n",
        "pi_time = time.time() - start\n",
        "# Fix: Use original FEATURE_COLS for permutation importance feature names\n",
        "pi_df = pd.DataFrame({\"feature\": FEATURE_COLS, \"importance\": pi.importances_mean})\n",
        "pi_df = pi_df.sort_values(by=\"importance\", ascending=False)\n",
        "\n",
        "print(f\"Permutation importance computed in {pi_time:.1f}s\")\n",
        "\n",
        "plt.figure(figsize=(8, 10))\n",
        "sns.barplot(y=pi_df[\"feature\"].head(top_k), x=pi_df[\"importance\"].head(top_k), orient=\"h\")\n",
        "plt.title(\"Permutation Importance (Top-20) - Random Forest\")\n",
        "plt.xlabel(\"Δ Macro-F1\")\n",
        "plt.ylabel(\"Feature\")\n",
        "plt.tight_layout()\n",
        "plt.show()\n"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 1000
        },
        "id": "Pn6p5AHTynya",
        "outputId": "84a83465-7ea4-4540-9f87-e9b5f444aa11"
      },
      "execution_count": 15,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 800x1000 with 1 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {}
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Permutation importance computed in 16.5s\n"
          ]
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 800x1000 with 1 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "# Model performance comparison and robustness"
      ],
      "metadata": {
        "id": "9BPx6grHBAzP"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "# Comparison table\n",
        "comparison = pd.DataFrame([\n",
        "    {\"model\": \"Random Forest (Tuned)\", **rf_metrics},\n",
        "    {\"model\": \"HistGB (Tuned)\", **gb_metrics},\n",
        "])\n",
        "\n",
        "print(\"\\nModel comparison (Test set):\")\n",
        "print(comparison[[\"model\",\"accuracy\",\"macro_f1\",\"weighted_f1\",\"inference_time_sec\"]])\n"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "Nc0dCag9zbKl",
        "outputId": "2cf3abe2-1a2d-4213-c698-3b232cb4aa70"
      },
      "execution_count": 16,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\n",
            "Model comparison (Test set):\n",
            "                   model  accuracy  macro_f1  weighted_f1  inference_time_sec\n",
            "0  Random Forest (Tuned)  0.721256  0.257173     0.618695            0.232635\n",
            "1         HistGB (Tuned)  0.696105  0.189249     0.622638            1.512452\n"
          ]
        }
      ]
    }
  ],
  "metadata": {
    "accelerator": "GPU",
    "colab": {
      "gpuType": "T4",
      "provenance": []
    },
    "kernelspec": {
      "display_name": "Python 3",
      "name": "python3"
    },
    "language_info": {
      "name": "python"
    }
  },
  "nbformat": 4,
  "nbformat_minor": 0
}