PhishingWebsiteDetection_EDA&Model.ipynb

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      "source": [
        "import pandas as pd\n",
        "import numpy as np\n",
        "import seaborn as sns\n",
        "import matplotlib.pyplot as plt\n",
        "from sklearn.ensemble import RandomForestClassifier, AdaBoostClassifier, GradientBoostingClassifier, ExtraTreesClassifier, VotingClassifier\n",
        "from sklearn.discriminant_analysis import LinearDiscriminantAnalysis\n",
        "from sklearn.linear_model import LogisticRegression\n",
        "from sklearn.neighbors import KNeighborsClassifier\n",
        "from sklearn.tree import DecisionTreeClassifier\n",
        "from sklearn.neural_network import MLPClassifier\n",
        "from sklearn.svm import SVC\n",
        "from sklearn.model_selection import GridSearchCV, cross_val_score, StratifiedKFold, learning_curve\n",
        "from sklearn.model_selection import train_test_split\n",
        "from sklearn.metrics import confusion_matrix, classification_report\n",
        "import tensorflow as tf\n",
        "from tensorflow import keras\n",
        "import pickle"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "M-EM0_IF-Sbw"
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        "def build_model(n_hidden=1, n_neurons=30, learning_rate=3e-3, input_shape=[30]): \n",
        "    model = keras.models.Sequential()\n",
        "    options = {\"input_shape\": input_shape}\n",
        "    for layer in range(n_hidden):\n",
        "        model.add(keras.layers.Dense(n_neurons, activation=\"relu\", **options))\n",
        "        options = {} \n",
        "    model.add(keras.layers.Dense(1, **options)) \n",
        "    optimizer = keras.optimizers.SGD(learning_rate) \n",
        "    model.compile(loss=\"mse\", optimizer=optimizer, metrics = ['accuracy']) \n",
        "    return model"
      ]
    },
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      "execution_count": 2,
      "metadata": {
        "id": "O1h63SpZRAyr"
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      "outputs": [],
      "source": [
        "df = pd.read_csv(\"/content/uci-ml-phishing-dataset.csv\")"
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "df.shape"
      ],
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    {
      "cell_type": "code",
      "source": [
        "df['Abnormal_URL'].value_counts()"
      ],
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          "data": {
            "text/plain": [
              " 1    9426\n",
              "-1    1629\n",
              "Name: Abnormal_URL, dtype: int64"
            ]
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              "      <th></th>\n",
              "      <th>id</th>\n",
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            "text/plain": [
              "   id  having_IP_Address  ...  Statistical_report  Result\n",
              "0   1                 -1  ...                  -1      -1\n",
              "1   2                  1  ...                   1      -1\n",
              "2   3                  1  ...                  -1      -1\n",
              "3   4                  1  ...                   1      -1\n",
              "4   5                  1  ...                   1       1\n",
              "\n",
              "[5 rows x 32 columns]"
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        "display(df.head())"
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        "df.drop('id', axis = 1, inplace = True)"
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      "source": [
        "## Exploration"
      ]
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      "source": [
        "The percentages of the class values."
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\n",
            "text/plain": [
              "<Figure size 936x432 with 1 Axes>"
            ]
          },
          "metadata": {
            "needs_background": "light"
          }
        }
      ],
      "source": [
        "plt.figure(figsize=(13, 6))\n",
        "ax = sns.barplot(x=\"Result\", y=\"Result\", data=df, estimator=lambda x: len(x) / len(df) * 100, color = 'Blue')\n",
        "ax.set(ylabel=\"Percent\");\n",
        "ax.set_title('The Percentage of Phishing vs Legitimate Webites', size = 15);\n",
        "plt.savefig('resultpercentageplot.png', dpi=300, bbox_inches='tight');"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "erxIDiZkuwL2"
      },
      "source": [
        "Correlation between all the variables."
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 653
        },
        "id": "TQMxI0WlRWxX",
        "outputId": "c9440a62-ccf1-461b-8446-065806c2ebe2"
      },
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 2520x1800 with 2 Axes>"
            ]
          },
          "metadata": {
            "needs_background": "light"
          }
        }
      ],
      "source": [
        "plt.figure(figsize=(35, 25))\n",
        "corr = df.corr()\n",
        "mask = np.triu(np.ones_like(df.corr(), dtype=np.bool))\n",
        "heatmap = sns.heatmap(corr, mask = mask, vmin=-1, vmax=1, annot=True, cmap = 'viridis')\n",
        "heatmap.set_title('Correlation Heatmap', fontdict={'fontsize':20}, pad=12);\n",
        "plt.savefig('heatmap.png', dpi=300, bbox_inches='tight')"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "9_Kr951suzhn"
      },
      "source": [
        "Variables with the highest correlation with the target variable."
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 730
        },
        "id": "WZJKxGJ7RdgJ",
        "outputId": "29fc5b26-fd79-4c56-bb8f-c4a7d48254d8"
      },
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 576x864 with 2 Axes>"
            ]
          },
          "metadata": {
            "needs_background": "light"
          }
        }
      ],
      "source": [
        "plt.figure(figsize=(8, 12))\n",
        "heatmap = sns.heatmap(df.corr()[['Result']].sort_values(by='Result', ascending=False), vmin=-1, vmax=1, annot=True, cmap = 'viridis')\n",
        "heatmap.set_title('Features Correlating with Result', fontdict={'fontsize':18}, pad=16);\n",
        "plt.savefig('heatmapfeaturecorr.png', dpi=300, bbox_inches='tight')"
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "Drop Top correlated values "
      ],
      "metadata": {
        "id": "ENPJfGmFpMgu"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "# dropping these values didn't help the accuracy\n",
        "#df.drop(['SSLfinal_State', 'URL_of_Anchor'], axis =1, inplace = True)"
      ],
      "metadata": {
        "id": "B04C9TvJpJve"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "df.shape"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "VXAxbu8-phG0",
        "outputId": "75216bce-5551-400e-8d47-bd9e1c8f3913"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "(11055, 31)"
            ]
          },
          "metadata": {},
          "execution_count": 11
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "nIXg8yGHvWrQ"
      },
      "source": [
        "## Ensembling Model"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "TDfwBA6q1QwV"
      },
      "outputs": [],
      "source": [
        "#Splitting Data\n",
        "X = df.drop('Result', axis = 1)\n",
        "y = df['Result']\n",
        "X_train, X_test, y_train, y_test = train_test_split(X, y, test_size=0.33, random_state=42)"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "DOMWQ5Ps0Q0y"
      },
      "source": [
        "### Cross Validate Models"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "8L0OmNSy0Xmp"
      },
      "source": [
        "We will compare 10 popular classifiers and evaluate the mean accuracy of each of them by a stratified kfold cross validation procedure.\n",
        "\n",
        "\n",
        "\n",
        "* SVC\n",
        "* Decision Tree\n",
        "* AdaBoost\n",
        "* XGBoost\n",
        "* Random Forest\n",
        "* Extra Trees\n",
        "* Multiple layer perceprton (neural network)\n",
        "* KNN\n",
        "* Logistic regression\n",
        "* Linear Discriminant Analysis\n"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "K61TR6eb0-bx"
      },
      "outputs": [],
      "source": [
        "kfold = StratifiedKFold(n_splits=10) # why 10?"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "ZBl3NDBIX9LP"
      },
      "outputs": [],
      "source": [
        "random_state = 42\n",
        "\n",
        "classifiers = []\n",
        "\n",
        "classifiers.append(SVC(random_state=random_state))\n",
        "classifiers.append(DecisionTreeClassifier(random_state=random_state))\n",
        "classifiers.append(AdaBoostClassifier(DecisionTreeClassifier(random_state=random_state),random_state=random_state,learning_rate=0.1))\n",
        "classifiers.append(RandomForestClassifier(random_state=random_state))\n",
        "classifiers.append(ExtraTreesClassifier(random_state=random_state))\n",
        "classifiers.append(GradientBoostingClassifier(random_state=random_state))\n",
        "classifiers.append(MLPClassifier(random_state=random_state))\n",
        "classifiers.append(KNeighborsClassifier())\n",
        "classifiers.append(LogisticRegression(random_state = random_state))\n",
        "classifiers.append(LinearDiscriminantAnalysis())\n",
        "\n",
        "cv_results = []\n",
        "for classifier in classifiers :\n",
        "    cv_results.append(cross_val_score(classifier, X_train, y = y_train, scoring = \"accuracy\", cv = kfold, n_jobs=4))\n",
        "\n",
        "cv_means = []\n",
        "cv_std = []\n",
        "for cv_result in cv_results:\n",
        "    cv_means.append(cv_result.mean())\n",
        "    cv_std.append(cv_result.std())\n",
        "\n",
        "cv_res = pd.DataFrame({\"CrossValMeans\":cv_means,\"CrossValerrors\": cv_std,\"Algorithm\":[\"SVC\",\"DecisionTree\",\"AdaBoost\",\n",
        "\"RandomForest\",\"ExtraTrees\",\"GradientBoosting\",\"MultipleLayerPerceptron\",\"KNeighboors\",\"LogisticRegression\",\"LinearDiscriminantAnalysis\"]})"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "pJvvhxBC7my2"
      },
      "source": [
        "From the figure below"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 585
        },
        "id": "jdSOAw062FBf",
        "outputId": "cc78a39e-6e6b-4047-a4d8-47b2e69e5720"
      },
      "outputs": [
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "/usr/local/lib/python3.7/dist-packages/seaborn/_decorators.py:43: FutureWarning: Pass the following variables as keyword args: x, y. From version 0.12, the only valid positional argument will be `data`, and passing other arguments without an explicit keyword will result in an error or misinterpretation.\n",
            "  FutureWarning\n"
          ]
        },
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 1080x720 with 1 Axes>"
            ]
          },
          "metadata": {
            "needs_background": "light"
          }
        }
      ],
      "source": [
        "plt.figure(figsize=(15, 10))\n",
        "\n",
        "g = sns.barplot(\"CrossValMeans\",\"Algorithm\",data = cv_res, palette=\"Paired\",orient = \"h\",**{'xerr':cv_std}, alpha = 0.6);\n",
        "g.set_xlabel(\"Mean Accuracy\", size = 14);\n",
        "g.set_ylabel(\"Algorithm\", size = 14);\n",
        "g = g.set_title(\"\\nCross Validation Scores\\n\", size = 18);\n",
        "plt.savefig('CVModelScores.png', dpi=300, bbox_inches='tight')"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 362
        },
        "id": "SvvyeEZF7uBX",
        "outputId": "04ab9ab7-0418-4507-8032-7a7fb0f7f13e"
      },
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/html": [
              "\n",
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              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>CrossValMeans</th>\n",
              "      <th>CrossValerrors</th>\n",
              "      <th>Algorithm</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>0.971644</td>\n",
              "      <td>0.006727</td>\n",
              "      <td>RandomForest</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>0.970563</td>\n",
              "      <td>0.007782</td>\n",
              "      <td>ExtraTrees</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>6</th>\n",
              "      <td>0.966514</td>\n",
              "      <td>0.006524</td>\n",
              "      <td>MultipleLayerPerceptron</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>0.960975</td>\n",
              "      <td>0.007871</td>\n",
              "      <td>AdaBoost</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>0.956385</td>\n",
              "      <td>0.004848</td>\n",
              "      <td>DecisionTree</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>5</th>\n",
              "      <td>0.946803</td>\n",
              "      <td>0.008312</td>\n",
              "      <td>GradientBoosting</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>0.946803</td>\n",
              "      <td>0.005837</td>\n",
              "      <td>SVC</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>7</th>\n",
              "      <td>0.938158</td>\n",
              "      <td>0.007199</td>\n",
              "      <td>KNeighboors</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>8</th>\n",
              "      <td>0.929250</td>\n",
              "      <td>0.007638</td>\n",
              "      <td>LogisticRegression</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>9</th>\n",
              "      <td>0.921552</td>\n",
              "      <td>0.006087</td>\n",
              "      <td>LinearDiscriminantAnalysis</td>\n",
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              "      background-color: #E8F0FE;\n",
              "      border: none;\n",
              "      border-radius: 50%;\n",
              "      cursor: pointer;\n",
              "      display: none;\n",
              "      fill: #1967D2;\n",
              "      height: 32px;\n",
              "      padding: 0 0 0 0;\n",
              "      width: 32px;\n",
              "    }\n",
              "\n",
              "    .colab-df-convert:hover {\n",
              "      background-color: #E2EBFA;\n",
              "      box-shadow: 0px 1px 2px rgba(60, 64, 67, 0.3), 0px 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
              "      fill: #174EA6;\n",
              "    }\n",
              "\n",
              "    [theme=dark] .colab-df-convert {\n",
              "      background-color: #3B4455;\n",
              "      fill: #D2E3FC;\n",
              "    }\n",
              "\n",
              "    [theme=dark] .colab-df-convert:hover {\n",
              "      background-color: #434B5C;\n",
              "      box-shadow: 0px 1px 3px 1px rgba(0, 0, 0, 0.15);\n",
              "      filter: drop-shadow(0px 1px 2px rgba(0, 0, 0, 0.3));\n",
              "      fill: #FFFFFF;\n",
              "    }\n",
              "  </style>\n",
              "\n",
              "      <script>\n",
              "        const buttonEl =\n",
              "          document.querySelector('#df-d1cde23d-96aa-40f7-8ccf-047ce6fe9478 button.colab-df-convert');\n",
              "        buttonEl.style.display =\n",
              "          google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "\n",
              "        async function convertToInteractive(key) {\n",
              "          const element = document.querySelector('#df-d1cde23d-96aa-40f7-8ccf-047ce6fe9478');\n",
              "          const dataTable =\n",
              "            await google.colab.kernel.invokeFunction('convertToInteractive',\n",
              "                                                     [key], {});\n",
              "          if (!dataTable) return;\n",
              "\n",
              "          const docLinkHtml = 'Like what you see? Visit the ' +\n",
              "            '<a target=\"_blank\" href=https://colab.research.google.com/notebooks/data_table.ipynb>data table notebook</a>'\n",
              "            + ' to learn more about interactive tables.';\n",
              "          element.innerHTML = '';\n",
              "          dataTable['output_type'] = 'display_data';\n",
              "          await google.colab.output.renderOutput(dataTable, element);\n",
              "          const docLink = document.createElement('div');\n",
              "          docLink.innerHTML = docLinkHtml;\n",
              "          element.appendChild(docLink);\n",
              "        }\n",
              "      </script>\n",
              "    </div>\n",
              "  </div>\n",
              "  "
            ],
            "text/plain": [
              "   CrossValMeans  CrossValerrors                   Algorithm\n",
              "3       0.971644        0.006727                RandomForest\n",
              "4       0.970563        0.007782                  ExtraTrees\n",
              "6       0.966514        0.006524     MultipleLayerPerceptron\n",
              "2       0.960975        0.007871                    AdaBoost\n",
              "1       0.956385        0.004848                DecisionTree\n",
              "5       0.946803        0.008312            GradientBoosting\n",
              "0       0.946803        0.005837                         SVC\n",
              "7       0.938158        0.007199                 KNeighboors\n",
              "8       0.929250        0.007638          LogisticRegression\n",
              "9       0.921552        0.006087  LinearDiscriminantAnalysis"
            ]
          },
          "metadata": {},
          "execution_count": 16
        }
      ],
      "source": [
        "cv_res.sort_values(by = 'CrossValMeans', ascending = False)\n",
        "# from the following we'll choose RandomForest, ExtraTrees, NN, AdaBoost and decusion trees as our classifiers."
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "iAGsM2Fd87QE"
      },
      "source": [
        "### Cross validation on the choosen models best parameters"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "fvtdLCY49OR8",
        "outputId": "39d22458-bff1-4e8d-9e5e-02b20e89f493"
      },
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Fitting 10 folds for each of 18 candidates, totalling 180 fits\n"
          ]
        },
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "0.9725887223255644"
            ]
          },
          "metadata": {},
          "execution_count": 17
        }
      ],
      "source": [
        "# RFC Parameters tunning \n",
        "RFC = RandomForestClassifier()\n",
        "\n",
        "\n",
        "## Search grid for optimal parameters\n",
        "rf_param_grid = {\n",
        "              \"max_features\": [3, 10, 20],\n",
        "              \"n_estimators\" :[100,300, 500],\n",
        "              \"criterion\": [\"gini\", \"entropy\"]}\n",
        "\n",
        "\n",
        "gsRFC = GridSearchCV(RFC,param_grid = rf_param_grid, cv=kfold, scoring=\"accuracy\", n_jobs= 4, verbose = 1)\n",
        "\n",
        "gsRFC.fit(X_train,y_train)\n",
        "\n",
        "RFC_best = gsRFC.best_estimator_\n",
        "\n",
        "# Best score\n",
        "gsRFC.best_score_"
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        ""
      ],
      "metadata": {
        "id": "TrPQzB74yzwf"
      }
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "ywvMtH6hBbtn",
        "outputId": "6e8cb8e0-25ce-4779-c394-382b1296c70d"
      },
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "{'criterion': 'gini', 'max_features': 3, 'n_estimators': 300}"
            ]
          },
          "metadata": {},
          "execution_count": 18
        }
      ],
      "source": [
        "gsRFC.best_params_"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "UcJBqKkc9APN",
        "outputId": "36f0c254-dee8-4d44-9500-4cf9ec7953a1"
      },
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Fitting 10 folds for each of 54 candidates, totalling 540 fits\n"
          ]
        },
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "0.9721838640259695"
            ]
          },
          "metadata": {},
          "execution_count": 19
        }
      ],
      "source": [
        "#ExtraTrees \n",
        "ExtC = ExtraTreesClassifier()\n",
        "\n",
        "\n",
        "## Search grid for optimal parameters\n",
        "ex_param_grid = {\n",
        "              \"max_features\": [1, 3, 10],\n",
        "              \"min_samples_split\": [2, 3, 10],\n",
        "              \"n_estimators\" :[100,300, 400],\n",
        "              \"criterion\": [\"gini\", \"entropy\"]}\n",
        "\n",
        "\n",
        "gsExtC = GridSearchCV(ExtC,param_grid = ex_param_grid, cv=kfold, scoring=\"accuracy\", n_jobs= 4, verbose = 1)\n",
        "\n",
        "gsExtC.fit(X_train,y_train)\n",
        "\n",
        "ExtC_best = gsExtC.best_estimator_\n",
        "\n",
        "# Best score\n",
        "gsExtC.best_score_"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "johADfUOCRFA",
        "outputId": "3f54f74a-24df-4037-e2fd-ac2dbd6cc95a"
      },
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "{'criterion': 'entropy',\n",
              " 'max_features': 1,\n",
              " 'min_samples_split': 2,\n",
              " 'n_estimators': 100}"
            ]
          },
          "metadata": {},
          "execution_count": 20
        }
      ],
      "source": [
        "gsExtC.best_params_"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "raGoOyCn8-oi",
        "outputId": "0641b6c5-c275-4d05-e7bb-2595d8789052"
      },
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Fitting 10 folds for each of 224 candidates, totalling 2240 fits\n",
            "0.9713743297953824\n"
          ]
        }
      ],
      "source": [
        "# Adaboost\n",
        "DTC = DecisionTreeClassifier()\n",
        "\n",
        "adaDTC = AdaBoostClassifier(DTC, random_state=7)\n",
        "\n",
        "ada_param_grid = {\"base_estimator__criterion\" : [\"gini\", \"entropy\"],\n",
        "              \"base_estimator__splitter\" :   [\"best\", \"random\"],\n",
        "              \"algorithm\" : [\"SAMME\",\"SAMME.R\"],\n",
        "              \"n_estimators\" :[10, 50, 100, 150],\n",
        "              \"learning_rate\":  [0.0001, 0.001, 0.01, 0.1, 0.2, 0.3,1.5]}\n",
        "\n",
        "gsadaDTC = GridSearchCV(adaDTC,param_grid = ada_param_grid, cv=kfold, scoring=\"accuracy\", n_jobs= 4, verbose = 1)\n",
        "\n",
        "gsadaDTC.fit(X_train,y_train)\n",
        "\n",
        "ada_best = gsadaDTC.best_estimator_\n",
        "print(gsadaDTC.best_score_)"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "T2vGPi27Csem",
        "outputId": "0f8c7cde-c8f2-4017-e82f-798b272bdfbe"
      },
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "{'algorithm': 'SAMME.R',\n",
              " 'base_estimator__criterion': 'entropy',\n",
              " 'base_estimator__splitter': 'random',\n",
              " 'learning_rate': 0.3,\n",
              " 'n_estimators': 100}"
            ]
          },
          "metadata": {},
          "execution_count": 22
        }
      ],
      "source": [
        "gsadaDTC.best_params_"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "8tUuMyF09AIG",
        "outputId": "5f583a4c-6e27-4895-94eb-ba90efdd6b75"
      },
      "outputs": [
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "/usr/local/lib/python3.7/dist-packages/sklearn/neural_network/_multilayer_perceptron.py:696: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (100) reached and the optimization hasn't converged yet.\n",
            "  ConvergenceWarning,\n"
          ]
        },
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "GridSearchCV(cv=5, estimator=MLPClassifier(max_iter=100), n_jobs=-1,\n",
              "             param_grid={'activation': ['tanh', 'relu'],\n",
              "                         'alpha': [0.0001, 0.05],\n",
              "                         'hidden_layer_sizes': [(300, 200, 100),\n",
              "                                                (200, 100, 50)],\n",
              "                         'learning_rate': ['constant', 'adaptive'],\n",
              "                         'solver': ['sgd', 'adam']})"
            ]
          },
          "metadata": {},
          "execution_count": 23
        }
      ],
      "source": [
        "# # Multilayer Neural Network\n",
        "# keras_reg = keras.wrappers.scikit_learn.KerasClassifier(build_model)\n",
        "\n",
        "# param_distribs = {\n",
        "#     \"n_hidden\": [2, 3, 4, 5], \n",
        "#     \"n_neurons\": np.arange(30, 100),\n",
        "# }\n",
        "# grid = GridSearchCV(keras_reg, param_distribs, refit = True, verbose = 3,n_jobs=-1) \n",
        "   \n",
        "# # fitting the model for grid search \n",
        "# grid.fit(X_train, y_train) \n",
        "\n",
        "# nn_best = grid.best_estimator_\n",
        "\n",
        "# # print best parameter after tuning \n",
        "# print(grid.best_params_) \n",
        "# print(grid.best_score_)\n",
        "\n",
        "mlp_gs = MLPClassifier(max_iter=100)\n",
        "parameter_space = {\n",
        "    'hidden_layer_sizes': [(300,200,100), (200,100,50)],\n",
        "    'activation': ['tanh', 'relu'],\n",
        "    'solver': ['sgd', 'adam'],\n",
        "    'alpha': [0.0001, 0.05],\n",
        "    'learning_rate': ['constant','adaptive'],\n",
        "}\n",
        "clf = GridSearchCV(mlp_gs, parameter_space, n_jobs=-1, cv=5)\n",
        "clf.fit(X_train, y_train)"
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "clf.best_params_"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "frZzi4-Anx52",
        "outputId": "950cbc4a-3b5c-4613-d5e8-542324f8fc96"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "{'activation': 'tanh',\n",
              " 'alpha': 0.05,\n",
              " 'hidden_layer_sizes': (200, 100, 50),\n",
              " 'learning_rate': 'constant',\n",
              " 'solver': 'adam'}"
            ]
          },
          "metadata": {},
          "execution_count": 35
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "clf.best_score_"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "n_TUP7Ogn2pw",
        "outputId": "2a3a2cc2-39dd-4f24-d6c3-a58a4990c60f"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "0.9671884354317987"
            ]
          },
          "metadata": {},
          "execution_count": 28
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "nn_best = clf.best_estimator_"
      ],
      "metadata": {
        "id": "b3ycT5YCpx0W"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "O8iwI7Hw8_9f",
        "outputId": "5ac43c89-64a3-47e5-eeea-6fcff5374dfb"
      },
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Fitting 5 folds for each of 34398 candidates, totalling 171990 fits\n",
            "{'criterion': 'entropy', 'max_depth': 23, 'max_features': 'auto', 'min_samples_leaf': 1, 'min_samples_split': 2}\n",
            "0.9512556256896852\n"
          ]
        }
      ],
      "source": [
        "# Decision Tree\n",
        "param_grid = {'max_features': ['auto', 'sqrt', 'log2'],\n",
        "              'max_depth' : range(1,50),\n",
        "              'min_samples_split': range(2,15),\n",
        "              'min_samples_leaf': range(1,10),\n",
        "              'criterion' :['gini', 'entropy']\n",
        "             }\n",
        "\n",
        "tree_clas = DecisionTreeClassifier(random_state=42)\n",
        "grid_search = GridSearchCV(estimator=tree_clas, param_grid=param_grid, verbose=True)\n",
        "grid_search.fit(X_train, y_train)\n",
        "\n",
        "dt_best = grid_search.best_estimator_\n",
        "#to read the model\n",
        "# model = pickle.load(open('model', 'rb'))\n",
        "# res = model.score(X_test, y_test)\n",
        "# resr_\n",
        "\n",
        "print(grid_search.best_params_)\n",
        "print(grid_search.best_score_)"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "pfU08XckNe6H"
      },
      "source": [
        "### Plot learning curves"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 1000
        },
        "id": "NyEcAZSuNhR-",
        "outputId": "b77ac7c4-bd8c-401b-de24-76948a0a4455"
      },
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 432x288 with 1 Axes>"
            ]
          },
          "metadata": {
            "needs_background": "light"
          }
        },
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 432x288 with 1 Axes>"
            ]
          },
          "metadata": {
            "needs_background": "light"
          }
        },
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 432x288 with 1 Axes>"
            ]
          },
          "metadata": {
            "needs_background": "light"
          }
        },
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 432x288 with 1 Axes>"
            ]
          },
          "metadata": {
            "needs_background": "light"
          }
        },
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 432x288 with 1 Axes>"
            ]
          },
          "metadata": {
            "needs_background": "light"
          }
        }
      ],
      "source": [
        "def plot_learning_curve(estimator, title, X, y, save, ylim=None, cv=None,\n",
        "                        n_jobs=-1, train_sizes=np.linspace(.1, 1.0, 5)):\n",
        "    \"\"\"Generate a simple plot of the test and training learning curve\"\"\"\n",
        "    plt.figure()\n",
        "    plt.title(title)\n",
        "    if ylim is not None:\n",
        "        plt.ylim(*ylim)\n",
        "    plt.xlabel(\"Training examples\")\n",
        "    plt.ylabel(\"Score\")\n",
        "    train_sizes, train_scores, test_scores = learning_curve(\n",
        "        estimator, X, y, cv=cv, n_jobs=n_jobs, train_sizes=train_sizes)\n",
        "    train_scores_mean = np.mean(train_scores, axis=1)\n",
        "    train_scores_std = np.std(train_scores, axis=1)\n",
        "    test_scores_mean = np.mean(test_scores, axis=1)\n",
        "    test_scores_std = np.std(test_scores, axis=1)\n",
        "    #plt.grid()\n",
        "\n",
        "    plt.fill_between(train_sizes, train_scores_mean - train_scores_std,\n",
        "                     train_scores_mean + train_scores_std, alpha=0.1,\n",
        "                     color=\"b\")\n",
        "    plt.fill_between(train_sizes, test_scores_mean - test_scores_std,\n",
        "                     test_scores_mean + test_scores_std, alpha=0.1, color=\"g\")\n",
        "    plt.plot(train_sizes, train_scores_mean, 'o-', color=\"b\",\n",
        "             label=\"Training score\")\n",
        "    plt.plot(train_sizes, test_scores_mean, 'o-', color=\"g\",\n",
        "             label=\"Cross-validation score\")\n",
        "\n",
        "    plt.legend(loc=\"best\")\n",
        "    plt.savefig(save, dpi=300, bbox_inches='tight')\n",
        "    return plt\n",
        "\n",
        "g1 = plot_learning_curve(gsRFC.best_estimator_,\"RF mearning curves\",X_train,y_train,cv=kfold, save = 'RFLearningPlot')\n",
        "g2 = plot_learning_curve(gsExtC.best_estimator_,\"ExtraTrees learning curves\",X_train,y_train,cv=kfold, save = 'ETLearningPlot')\n",
        "g3 = plot_learning_curve(nn_best,\"NN learning curves\",X_train,y_train,cv=kfold, save = 'NNLearningPlot')\n",
        "g4 = plot_learning_curve(gsadaDTC.best_estimator_,\"AdaBoost learning curves\",X_train,y_train,cv=kfold, save = 'AdaLearningPlot')\n",
        "g5 = plot_learning_curve(dt_best,\"DT learning curves\",X_train,y_train,cv=kfold, save = 'DTLearningPlot')"
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "Decision tree had the highest tendency to overfit."
      ],
      "metadata": {
        "id": "W1K4AM-4pQv6"
      }
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "G62jTs8td2ku"
      },
      "source": [
        "### Voting Classifier"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "BenSJroO5lC3"
      },
      "outputs": [],
      "source": [
        "votingC = VotingClassifier(estimators=[('rfc', RFC_best), ('extc', ExtC_best),\n",
        "('nn', nn_best), ('adac',ada_best),('dt',dt_best)], voting='soft', n_jobs=-1)\n",
        "\n",
        "votingC = votingC.fit(X_train, y_train)\n",
        "y_pred = votingC.predict(X_test)\n",
        "\n",
        "pickle.dump(votingC, open('model.sav', 'wb'))\n",
        "\n",
        "# to read the model later\n",
        "# model = pickle.load(open('model', 'rb'))\n",
        "# res = model.score(X_test, y_test)\n",
        "# res"
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "### Plot Confusion Matrix"
      ],
      "metadata": {
        "id": "7eEUN_xvkGv3"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "from sklearn.metrics import accuracy_score\n",
        "accuracy_score(y_test, y_pred)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "XeV3eMUKz3rm",
        "outputId": "1a3385f1-82cb-46e9-eaf1-4cd8ea32e245"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "0.9684845163058372"
            ]
          },
          "metadata": {},
          "execution_count": 43
        }
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "G25WeYtPeIbU",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 499
        },
        "outputId": "3fa14b63-5256-440a-ee41-b3f2cae5e26a"
      },
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 720x504 with 2 Axes>"
            ]
          },
          "metadata": {}
        }
      ],
      "source": [
        "data = confusion_matrix(y_test, y_pred, normalize = 'all')\n",
        "df_cm = pd.DataFrame(data, columns=np.unique(y_test), index = np.unique(y_test))\n",
        "df_cm.index.name = 'Actual'\n",
        "df_cm.columns.name = 'Predicted'\n",
        "plt.figure(figsize = (10,7))\n",
        "sns.set(font_scale=1.4)#for label size\n",
        "sns.heatmap(df_cm, cmap=\"Blues\", annot=True,annot_kws={\"size\": 16})# font size\n",
        "plt.title(\"Confusion Matrix Heat Map\\n\")\n",
        "plt.savefig('ConfusionMatrix', dpi=300, bbox_inches='tight')"
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "print(f'{votingC} Training Score: {votingC.score(X_train, y_train)}')\n",
        "print(f'{votingC} Testing Score: {votingC.score(X_test, y_test)}')\n",
        "print()\n",
        "print(classification_report(y_test, y_pred))\n",
        "#print(confusion_matrix(y_test, y_pred))"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "_tKP2iwxzabv",
        "outputId": "10ca2951-6014-43be-be58-f37e0748a6a3"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "VotingClassifier(estimators=[('rfc',\n",
            "                              RandomForestClassifier(max_features=3,\n",
            "                                                     n_estimators=300)),\n",
            "                             ('extc',\n",
            "                              ExtraTreesClassifier(criterion='entropy',\n",
            "                                                   max_features=1)),\n",
            "                             ('nn',\n",
            "                              MLPClassifier(activation='tanh', alpha=0.05,\n",
            "                                            hidden_layer_sizes=(200, 100, 50),\n",
            "                                            max_iter=100)),\n",
            "                             ('adac',\n",
            "                              AdaBoostClassifier(base_estimator=DecisionTreeClassifier(criterion='entropy',\n",
            "                                                                                       splitter='random'),\n",
            "                                                 learning_rate=0.3,\n",
            "                                                 n_estimators=100,\n",
            "                                                 random_state=7)),\n",
            "                             ('dt',\n",
            "                              DecisionTreeClassifier(criterion='entropy',\n",
            "                                                     max_depth=23,\n",
            "                                                     max_features='auto',\n",
            "                                                     random_state=42))],\n",
            "                 n_jobs=-1, voting='soft') Training Score: 0.9909532811234134\n",
            "VotingClassifier(estimators=[('rfc',\n",
            "                              RandomForestClassifier(max_features=3,\n",
            "                                                     n_estimators=300)),\n",
            "                             ('extc',\n",
            "                              ExtraTreesClassifier(criterion='entropy',\n",
            "                                                   max_features=1)),\n",
            "                             ('nn',\n",
            "                              MLPClassifier(activation='tanh', alpha=0.05,\n",
            "                                            hidden_layer_sizes=(200, 100, 50),\n",
            "                                            max_iter=100)),\n",
            "                             ('adac',\n",
            "                              AdaBoostClassifier(base_estimator=DecisionTreeClassifier(criterion='entropy',\n",
            "                                                                                       splitter='random'),\n",
            "                                                 learning_rate=0.3,\n",
            "                                                 n_estimators=100,\n",
            "                                                 random_state=7)),\n",
            "                             ('dt',\n",
            "                              DecisionTreeClassifier(criterion='entropy',\n",
            "                                                     max_depth=23,\n",
            "                                                     max_features='auto',\n",
            "                                                     random_state=42))],\n",
            "                 n_jobs=-1, voting='soft') Testing Score: 0.9684845163058372\n",
            "\n",
            "              precision    recall  f1-score   support\n",
            "\n",
            "          -1       0.98      0.95      0.96      1565\n",
            "           1       0.96      0.98      0.97      2084\n",
            "\n",
            "    accuracy                           0.97      3649\n",
            "   macro avg       0.97      0.97      0.97      3649\n",
            "weighted avg       0.97      0.97      0.97      3649\n",
            "\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "target_names = ['Phishing', 'Legitamite']\n",
        "print(classification_report(y_test, y_pred, target_names=target_names))"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "A1zQrHdsBMjd",
        "outputId": "0981e160-3c0d-4203-ea45-581062bf81a3"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "              precision    recall  f1-score   support\n",
            "\n",
            "    Phishing       0.98      0.95      0.96      1565\n",
            "  Legitamite       0.96      0.98      0.97      2084\n",
            "\n",
            "    accuracy                           0.97      3649\n",
            "   macro avg       0.97      0.97      0.97      3649\n",
            "weighted avg       0.97      0.97      0.97      3649\n",
            "\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        ""
      ],
      "metadata": {
        "id": "t8L6oEZCDQOv"
      },
      "execution_count": null,
      "outputs": []
    }
  ],
  "metadata": {
    "colab": {
      "collapsed_sections": [
        "1WpJbEEyva20"
      ],
      "name": "PhishingWebsiteDetection_EDA&Model.ipynb",
      "provenance": []
    },
    "kernelspec": {
      "display_name": "Python 3",
      "name": "python3"
    },
    "language_info": {
      "name": "python"
    },
    "accelerator": "GPU"
  },
  "nbformat": 4,
  "nbformat_minor": 0
}