malware.ipynb

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            "Looking in indexes: https://pypi.org/simple, https://us-python.pkg.dev/colab-wheels/public/simple/\n",
            "Collecting scikit-plot\n",
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            "Requirement already satisfied: scikit-learn>=0.18 in /usr/local/lib/python3.10/dist-packages (from scikit-plot) (1.2.2)\n",
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            "Requirement already satisfied: python-dateutil>=2.7 in /usr/local/lib/python3.10/dist-packages (from matplotlib>=1.4.0->scikit-plot) (2.8.2)\n",
            "Requirement already satisfied: threadpoolctl>=2.0.0 in /usr/local/lib/python3.10/dist-packages (from scikit-learn>=0.18->scikit-plot) (3.1.0)\n",
            "Requirement already satisfied: six>=1.5 in /usr/local/lib/python3.10/dist-packages (from python-dateutil>=2.7->matplotlib>=1.4.0->scikit-plot) (1.16.0)\n",
            "Installing collected packages: scikit-plot\n",
            "Successfully installed scikit-plot-0.3.7\n"
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        "pip install scikit-plot\n"
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    {
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        "id": "WTU_Cgk2PgFr"
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      "source": [
        "import numpy as np \n",
        "import pandas as pd \n",
        "import seaborn as sns\n",
        "import scikitplot as skplt\n",
        "import matplotlib.pyplot as plt\n",
        "from tensorflow.keras.models import Sequential\n",
        "from tensorflow.keras.optimizers import Adam\n",
        "from tensorflow.keras.layers import Embedding, LSTM, GlobalAveragePooling2D\n",
        "from tensorflow.keras.layers import Dense, Dropout, Conv1D, MaxPool1D, BatchNormalization\n",
        "from sklearn.model_selection import train_test_split\n",
        "from sklearn.metrics import accuracy_score,classification_report,confusion_matrix\n"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "uEZqE8LTOkv3"
      },
      "outputs": [],
      "source": [
        "data = pd.read_csv('/content/dynamic_api_call_sequence_per_malware_100_0_306.csv')"
      ]
    },
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              "                               hash  t_0  t_1  t_2  t_3  t_4  t_5  t_6  t_7  \\\n",
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              "\n",
              "   t_8  ...  t_91  t_92  t_93  t_94  t_95  t_96  t_97  t_98  t_99  malware  \n",
              "0   76  ...    71   297   135   171   215    35   208    56    71        1  \n",
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        "used_data = data.drop(['hash', 'malware'], axis=1)"
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              "      <td>112</td>\n",
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              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>82</td>\n",
              "      <td>208</td>\n",
              "      <td>187</td>\n",
              "      <td>208</td>\n",
              "      <td>172</td>\n",
              "      <td>117</td>\n",
              "      <td>172</td>\n",
              "      <td>117</td>\n",
              "      <td>172</td>\n",
              "      <td>117</td>\n",
              "      <td>...</td>\n",
              "      <td>215</td>\n",
              "      <td>208</td>\n",
              "      <td>302</td>\n",
              "      <td>208</td>\n",
              "      <td>302</td>\n",
              "      <td>187</td>\n",
              "      <td>208</td>\n",
              "      <td>302</td>\n",
              "      <td>228</td>\n",
              "      <td>302</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>82</td>\n",
              "      <td>240</td>\n",
              "      <td>117</td>\n",
              "      <td>240</td>\n",
              "      <td>117</td>\n",
              "      <td>240</td>\n",
              "      <td>117</td>\n",
              "      <td>240</td>\n",
              "      <td>117</td>\n",
              "      <td>172</td>\n",
              "      <td>...</td>\n",
              "      <td>40</td>\n",
              "      <td>209</td>\n",
              "      <td>260</td>\n",
              "      <td>40</td>\n",
              "      <td>209</td>\n",
              "      <td>260</td>\n",
              "      <td>141</td>\n",
              "      <td>260</td>\n",
              "      <td>141</td>\n",
              "      <td>260</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "<p>5 rows × 100 columns</p>\n",
              "</div>\n",
              "      <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-572baf6a-e077-4be6-99c6-a58e988a4005')\"\n",
              "              title=\"Convert this dataframe to an interactive table.\"\n",
              "              style=\"display:none;\">\n",
              "        \n",
              "  <svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\"viewBox=\"0 0 24 24\"\n",
              "       width=\"24px\">\n",
              "    <path d=\"M0 0h24v24H0V0z\" fill=\"none\"/>\n",
              "    <path d=\"M18.56 5.44l.94 2.06.94-2.06 2.06-.94-2.06-.94-.94-2.06-.94 2.06-2.06.94zm-11 1L8.5 8.5l.94-2.06 2.06-.94-2.06-.94L8.5 2.5l-.94 2.06-2.06.94zm10 10l.94 2.06.94-2.06 2.06-.94-2.06-.94-.94-2.06-.94 2.06-2.06.94z\"/><path d=\"M17.41 7.96l-1.37-1.37c-.4-.4-.92-.59-1.43-.59-.52 0-1.04.2-1.43.59L10.3 9.45l-7.72 7.72c-.78.78-.78 2.05 0 2.83L4 21.41c.39.39.9.59 1.41.59.51 0 1.02-.2 1.41-.59l7.78-7.78 2.81-2.81c.8-.78.8-2.07 0-2.86zM5.41 20L4 18.59l7.72-7.72 1.47 1.35L5.41 20z\"/>\n",
              "  </svg>\n",
              "      </button>\n",
              "      \n",
              "  <style>\n",
              "    .colab-df-container {\n",
              "      display:flex;\n",
              "      flex-wrap:wrap;\n",
              "      gap: 12px;\n",
              "    }\n",
              "\n",
              "    .colab-df-convert {\n",
              "      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-572baf6a-e077-4be6-99c6-a58e988a4005 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-572baf6a-e077-4be6-99c6-a58e988a4005');\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": [
              "   t_0  t_1  t_2  t_3  t_4  t_5  t_6  t_7  t_8  t_9  ...  t_90  t_91  t_92  \\\n",
              "0  112  274  158  215  274  158  215  298   76  208  ...   117    71   297   \n",
              "1   82  208  187  208  172  117  172  117  172  117  ...    60    81   240   \n",
              "2   16  110  240  117  240  117  240  117  240  117  ...   123    65   112   \n",
              "3   82  208  187  208  172  117  172  117  172  117  ...   215   208   302   \n",
              "4   82  240  117  240  117  240  117  240  117  172  ...    40   209   260   \n",
              "\n",
              "   t_93  t_94  t_95  t_96  t_97  t_98  t_99  \n",
              "0   135   171   215    35   208    56    71  \n",
              "1   117    71   297   135   171   215    35  \n",
              "2   123    65   112   123    65   113   112  \n",
              "3   208   302   187   208   302   228   302  \n",
              "4    40   209   260   141   260   141   260  \n",
              "\n",
              "[5 rows x 100 columns]"
            ]
          },
          "execution_count": 18,
          "metadata": {},
          "output_type": "execute_result"
        }
      ],
      "source": [
        "used_data.head()"
      ]
    },
    {
      "attachments": {},
      "cell_type": "markdown",
      "metadata": {
        "id": "ZpxE27AXO7Br"
      },
      "source": [
        "Doing class distribution \n"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 448
        },
        "id": "xtpArQaTO_0g",
        "outputId": "6a159cd9-48d0-494e-8e16-6145370c6042"
      },
      "outputs": [
        {
          "data": {
            "text/plain": [
              "<Axes: ylabel='count'>"
            ]
          },
          "execution_count": 19,
          "metadata": {},
          "output_type": "execute_result"
        },
        {
          "data": {
            "image/png": 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",
            "text/plain": [
              "<Figure size 640x480 with 1 Axes>"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        }
      ],
      "source": [
        "sns.countplot(data['malware'])"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "sfuqieQgPCh8"
      },
      "outputs": [],
      "source": [
        "X_train, X_test, y_train, y_test = train_test_split(used_data, data['malware'], test_size=0.25, shuffle=True, random_state=42)"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "lASpA6cOPLRf",
        "outputId": "d9c3310a-e083-4c9b-fe34-25d0df70b6d5"
      },
      "outputs": [
        {
          "data": {
            "text/plain": [
              "(10969, 100)"
            ]
          },
          "execution_count": 21,
          "metadata": {},
          "output_type": "execute_result"
        }
      ],
      "source": [
        "X_train.shape"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "tTQMGh20PNoL"
      },
      "outputs": [],
      "source": [
        "unique_api_calls = 307"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "sJxj_aakPQCL"
      },
      "outputs": [],
      "source": [
        "model = Sequential(name=\"Cnn-Lstm_model\")\n",
        "model.add(Embedding(input_dim=unique_api_calls, output_dim=8,\n",
        "                    input_length=X_train.shape[1], name='layer_embedding'))\n",
        "model.add(BatchNormalization())\n",
        "model.add(Conv1D(filters = 32, kernel_size = 9, padding = 'same', activation = 'relu'))\n",
        "model.add(MaxPool1D(pool_size = 2))\n",
        "model.add(LSTM(units=512, return_sequences=False, dropout=0.2))\n",
        "model.add(Dense(units=1, activation='sigmoid'))"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "Kw-UT7w1QL_Y",
        "outputId": "bebe9913-c521-4622-bb55-ad20f8b03336"
      },
      "outputs": [
        {
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "Model: \"Cnn-Lstm_model\"\n",
            "_________________________________________________________________\n",
            " Layer (type)                Output Shape              Param #   \n",
            "=================================================================\n",
            " layer_embedding (Embedding)  (None, 100, 8)           2456      \n",
            "                                                                 \n",
            " batch_normalization (BatchN  (None, 100, 8)           32        \n",
            " ormalization)                                                   \n",
            "                                                                 \n",
            " conv1d (Conv1D)             (None, 100, 32)           2336      \n",
            "                                                                 \n",
            " max_pooling1d (MaxPooling1D  (None, 50, 32)           0         \n",
            " )                                                               \n",
            "                                                                 \n",
            " lstm (LSTM)                 (None, 512)               1116160   \n",
            "                                                                 \n",
            " dense (Dense)               (None, 1)                 513       \n",
            "                                                                 \n",
            "=================================================================\n",
            "Total params: 1,121,497\n",
            "Trainable params: 1,121,481\n",
            "Non-trainable params: 16\n",
            "_________________________________________________________________\n"
          ]
        }
      ],
      "source": [
        "model.summary()"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "yPWyAyxIQPfC",
        "outputId": "ac5dd4a0-1b59-4c57-9e37-28446d75a325"
      },
      "outputs": [
        {
          "name": "stderr",
          "output_type": "stream",
          "text": [
            "WARNING:absl:`lr` is deprecated in Keras optimizer, please use `learning_rate` or use the legacy optimizer, e.g.,tf.keras.optimizers.legacy.Adam.\n"
          ]
        }
      ],
      "source": [
        "optimizer = Adam(lr=.0001)\n",
        "model.compile(loss='binary_crossentropy', optimizer=optimizer, metrics=['accuracy'])"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "_p9-4nP5QSrt",
        "outputId": "9fa3ffb9-11fa-46ee-9488-33f7b036ae97"
      },
      "outputs": [
        {
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "Epoch 1/30\n",
            "18/18 [==============================] - 95s 5s/step - loss: 0.0197 - accuracy: 0.9933 - val_loss: 0.0704 - val_accuracy: 0.9804\n",
            "Epoch 2/30\n",
            "18/18 [==============================] - 83s 5s/step - loss: 0.0202 - accuracy: 0.9934 - val_loss: 0.0673 - val_accuracy: 0.9822\n",
            "Epoch 3/30\n",
            "18/18 [==============================] - 81s 5s/step - loss: 0.0188 - accuracy: 0.9942 - val_loss: 0.0662 - val_accuracy: 0.9845\n",
            "Epoch 4/30\n",
            "18/18 [==============================] - 80s 5s/step - loss: 0.0179 - accuracy: 0.9949 - val_loss: 0.0730 - val_accuracy: 0.9836\n",
            "Epoch 5/30\n",
            "18/18 [==============================] - 77s 4s/step - loss: 0.0167 - accuracy: 0.9940 - val_loss: 0.0738 - val_accuracy: 0.9827\n",
            "Epoch 6/30\n",
            "18/18 [==============================] - 81s 5s/step - loss: 0.0143 - accuracy: 0.9946 - val_loss: 0.0709 - val_accuracy: 0.9799\n",
            "Epoch 7/30\n",
            "18/18 [==============================] - 81s 5s/step - loss: 0.0138 - accuracy: 0.9953 - val_loss: 0.0706 - val_accuracy: 0.9836\n",
            "Epoch 8/30\n",
            "18/18 [==============================] - 81s 4s/step - loss: 0.0120 - accuracy: 0.9948 - val_loss: 0.0735 - val_accuracy: 0.9840\n",
            "Epoch 9/30\n",
            "18/18 [==============================] - 82s 5s/step - loss: 0.0150 - accuracy: 0.9940 - val_loss: 0.0780 - val_accuracy: 0.9840\n",
            "Epoch 10/30\n",
            "18/18 [==============================] - 80s 5s/step - loss: 0.0169 - accuracy: 0.9936 - val_loss: 0.0695 - val_accuracy: 0.9831\n",
            "Epoch 11/30\n",
            "18/18 [==============================] - 81s 5s/step - loss: 0.0160 - accuracy: 0.9948 - val_loss: 0.0671 - val_accuracy: 0.9831\n",
            "Epoch 12/30\n",
            "18/18 [==============================] - 83s 5s/step - loss: 0.0128 - accuracy: 0.9959 - val_loss: 0.0712 - val_accuracy: 0.9818\n",
            "Epoch 13/30\n",
            "18/18 [==============================] - 77s 4s/step - loss: 0.0113 - accuracy: 0.9966 - val_loss: 0.0736 - val_accuracy: 0.9831\n",
            "Epoch 14/30\n",
            "18/18 [==============================] - 81s 4s/step - loss: 0.0088 - accuracy: 0.9967 - val_loss: 0.0781 - val_accuracy: 0.9799\n",
            "Epoch 15/30\n",
            "18/18 [==============================] - 77s 4s/step - loss: 0.0196 - accuracy: 0.9932 - val_loss: 0.0781 - val_accuracy: 0.9845\n",
            "Epoch 16/30\n",
            "18/18 [==============================] - 82s 5s/step - loss: 0.0156 - accuracy: 0.9951 - val_loss: 0.0817 - val_accuracy: 0.9840\n",
            "Epoch 17/30\n",
            "18/18 [==============================] - 80s 4s/step - loss: 0.0123 - accuracy: 0.9959 - val_loss: 0.0824 - val_accuracy: 0.9850\n",
            "Epoch 18/30\n",
            "18/18 [==============================] - 82s 5s/step - loss: 0.0143 - accuracy: 0.9957 - val_loss: 0.0751 - val_accuracy: 0.9836\n",
            "Epoch 19/30\n",
            "18/18 [==============================] - 82s 5s/step - loss: 0.0120 - accuracy: 0.9959 - val_loss: 0.0833 - val_accuracy: 0.9827\n",
            "Epoch 20/30\n",
            "18/18 [==============================] - 81s 4s/step - loss: 0.0097 - accuracy: 0.9966 - val_loss: 0.0766 - val_accuracy: 0.9822\n",
            "Epoch 21/30\n",
            "18/18 [==============================] - 81s 5s/step - loss: 0.0101 - accuracy: 0.9964 - val_loss: 0.0744 - val_accuracy: 0.9831\n",
            "Epoch 22/30\n",
            "18/18 [==============================] - 80s 4s/step - loss: 0.0087 - accuracy: 0.9965 - val_loss: 0.0835 - val_accuracy: 0.9840\n",
            "Epoch 23/30\n",
            "18/18 [==============================] - 80s 5s/step - loss: 0.0098 - accuracy: 0.9967 - val_loss: 0.0883 - val_accuracy: 0.9831\n",
            "Epoch 24/30\n",
            "18/18 [==============================] - 83s 5s/step - loss: 0.0095 - accuracy: 0.9960 - val_loss: 0.0886 - val_accuracy: 0.9845\n",
            "Epoch 25/30\n",
            "18/18 [==============================] - 81s 5s/step - loss: 0.0069 - accuracy: 0.9967 - val_loss: 0.0746 - val_accuracy: 0.9863\n",
            "Epoch 26/30\n",
            "18/18 [==============================] - 80s 5s/step - loss: 0.0068 - accuracy: 0.9976 - val_loss: 0.0715 - val_accuracy: 0.9822\n",
            "Epoch 27/30\n",
            "18/18 [==============================] - 81s 5s/step - loss: 0.0050 - accuracy: 0.9979 - val_loss: 0.0737 - val_accuracy: 0.9827\n",
            "Epoch 28/30\n",
            "18/18 [==============================] - 82s 5s/step - loss: 0.0083 - accuracy: 0.9964 - val_loss: 0.0887 - val_accuracy: 0.9840\n",
            "Epoch 29/30\n",
            "18/18 [==============================] - 81s 5s/step - loss: 0.0065 - accuracy: 0.9975 - val_loss: 0.0766 - val_accuracy: 0.9840\n",
            "Epoch 30/30\n",
            "18/18 [==============================] - 80s 5s/step - loss: 0.0066 - accuracy: 0.9973 - val_loss: 0.0907 - val_accuracy: 0.9854\n"
          ]
        }
      ],
      "source": [
        "history = model.fit(X_train, y_train, validation_split=0.2, epochs=30, batch_size=512)"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "MIHTZC-QQZEA"
      },
      "outputs": [],
      "source": [
        "model.save('behavioral-malware-detection-based-on-api-calls_model.h5')"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 582
        },
        "id": "mDWIajSoR1KY",
        "outputId": "0f20e942-af07-4e43-9128-37cc9632f11a"
      },
      "outputs": [
        {
          "data": {
            "text/plain": [
              "Text(0.5, 0, 'Epochs')"
            ]
          },
          "execution_count": 33,
          "metadata": {},
          "output_type": "execute_result"
        },
        {
          "data": {
            "image/png": 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",
            "text/plain": [
              "<Figure size 1200x600 with 2 Axes>"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        }
      ],
      "source": [
        "fig, ax = plt.subplots(1,2, figsize=[12,6])\n",
        "ax[0].plot(history.history[\"loss\"])\n",
        "ax[0].plot(history.history[\"val_loss\"])\n",
        "ax[0].set_title(\" Loss\")\n",
        "ax[0].legend((\"Training\", \"validation\"), loc=\"upper right\")\n",
        "ax[0].set_xlabel(\"Epochs\")\n",
        "ax[1].plot(history.history[\"accuracy\"])\n",
        "ax[1].plot(history.history[\"val_accuracy\"])\n",
        "ax[1].legend((\"Training\", \"validation\"), loc=\"lower right\")\n",
        "ax[1].set_title(\"Accuracy\")\n",
        "ax[1].set_xlabel(\"Epochs\")"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "kpTkMBHuR17y",
        "outputId": "26c39a43-c54d-4a32-dde7-6dee2639c461"
      },
      "outputs": [
        {
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "1029/1029 [==============================] - 136s 132ms/step\n"
          ]
        }
      ],
      "source": [
        "y_pred = model.predict(X_test)"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 600
        },
        "id": "dXtWe-GyR35Q",
        "outputId": "faae052e-9079-4adb-da0e-2b520c659f5a"
      },
      "outputs": [
        {
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "515/515 [==============================] - 117s 226ms/step\n"
          ]
        },
        {
          "data": {
            "text/plain": [
              "<Axes: title={'center': 'ROC Curves'}, xlabel='False Positive Rate', ylabel='True Positive Rate'>"
            ]
          },
          "execution_count": 42,
          "metadata": {},
          "output_type": "execute_result"
        },
        {
          "data": {
            "image/png": 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",
            "text/plain": [
              "<Figure size 800x600 with 1 Axes>"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        }
      ],
      "source": [
        "probas = model.predict(X_test, batch_size=64)\n",
        "probas=np.array([[1-probas[i][0], probas[i][0]] for i in range(len(probas))]).reshape(probas.shape[0], 2)\n",
        "skplt.metrics.plot_roc(np.array(y_test), probas, figsize=(8, 6))"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 582
        },
        "id": "OQLHun8iR75E",
        "outputId": "9792af1d-1fac-4fca-c086-19c868ee7549"
      },
      "outputs": [
        {
          "data": {
            "text/plain": [
              "<Axes: title={'center': 'Precision-Recall Curve'}, xlabel='Recall', ylabel='Precision'>"
            ]
          },
          "execution_count": 43,
          "metadata": {},
          "output_type": "execute_result"
        },
        {
          "data": {
            "image/png": 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",
            "text/plain": [
              "<Figure size 800x600 with 1 Axes>"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        }
      ],
      "source": [
        "skplt.metrics.plot_precision_recall(np.array(y_test), probas, figsize=(8, 6))"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "UTFloB2Gag_H"
      },
      "outputs": [],
      "source": []
    }
  ],
  "metadata": {
    "colab": {
      "provenance": []
    },
    "kernelspec": {
      "display_name": "Python 3",
      "name": "python3"
    },
    "language_info": {
      "name": "python"
    }
  },
  "nbformat": 4,
  "nbformat_minor": 0
}