Classification_NeuralNetworks.ipynb

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      "cell_type": "code",
      "source": [
        "import pandas as pd\n",
        "dataset=pd.read_csv('/bestsellers with categories.csv')"
      ],
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        "id": "WORtycj8iCA8"
      },
      "execution_count": null,
      "outputs": []
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              "                                                Name  \\\n",
              "0                      10-Day Green Smoothie Cleanse   \n",
              "1                                  11/22/63: A Novel   \n",
              "2            12 Rules for Life: An Antidote to Chaos   \n",
              "3                             1984 (Signet Classics)   \n",
              "4  5,000 Awesome Facts (About Everything!) (Natio...   \n",
              "\n",
              "                     Author  User Rating  Reviews  Price  Year        Genre  \n",
              "0                  JJ Smith          4.7    17350      8  2016  Non Fiction  \n",
              "1              Stephen King          4.6     2052     22  2011      Fiction  \n",
              "2        Jordan B. Peterson          4.7    18979     15  2018  Non Fiction  \n",
              "3             George Orwell          4.7    21424      6  2017      Fiction  \n",
              "4  National Geographic Kids          4.8     7665     12  2019  Non Fiction  "
            ],
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              "      <td>8</td>\n",
              "      <td>2016</td>\n",
              "      <td>Non Fiction</td>\n",
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              "      <th>1</th>\n",
              "      <td>11/22/63: A Novel</td>\n",
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              "      <td>2011</td>\n",
              "      <td>Fiction</td>\n",
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              "      <td>12 Rules for Life: An Antidote to Chaos</td>\n",
              "      <td>Jordan B. Peterson</td>\n",
              "      <td>4.7</td>\n",
              "      <td>18979</td>\n",
              "      <td>15</td>\n",
              "      <td>2018</td>\n",
              "      <td>Non Fiction</td>\n",
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              "      <th>3</th>\n",
              "      <td>1984 (Signet Classics)</td>\n",
              "      <td>George Orwell</td>\n",
              "      <td>4.7</td>\n",
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              "      <td>6</td>\n",
              "      <td>2017</td>\n",
              "      <td>Fiction</td>\n",
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              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>5,000 Awesome Facts (About Everything!) (Natio...</td>\n",
              "      <td>National Geographic Kids</td>\n",
              "      <td>4.8</td>\n",
              "      <td>7665</td>\n",
              "      <td>12</td>\n",
              "      <td>2019</td>\n",
              "      <td>Non Fiction</td>\n",
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      ],
      "source": [
        "dataset.head()"
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "The task here is to classify the book (Fiction/Non-Fiction) based on the other columns. I've used simple neural networks in order to classify."
      ],
      "metadata": {
        "id": "T7K602oN7azC"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "from sklearn.preprocessing import LabelEncoder\n",
        "\n",
        "encoder=LabelEncoder()\n",
        "\n",
        "dataset['Name']=encoder.fit_transform(dataset['Name'])\n",
        "\n",
        "dataset['Author']=encoder.fit_transform(dataset['Author'])\n",
        "\n",
        "dataset['Genre']=encoder.fit_transform(dataset['Genre'])\n",
        "\n",
        "dataset.head()"
      ],
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          "data": {
            "text/plain": [
              "   Name  Author  User Rating  Reviews  Price  Year  Genre\n",
              "0     0     114          4.7    17350      8  2016      1\n",
              "1     1     219          4.6     2052     22  2011      0\n",
              "2     2     134          4.7    18979     15  2018      1\n",
              "3     3      95          4.7    21424      6  2017      0\n",
              "4     4     174          4.8     7665     12  2019      1"
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    {
      "cell_type": "code",
      "source": [
        "y=dataset.Genre \n",
        "x=dataset.drop(['Genre'],axis=1)\n",
        "\n",
        "\n",
        "from sklearn.model_selection import train_test_split\n",
        "\n",
        "X_train,X_test,Y_train,Y_test=train_test_split(x,y,test_size=0.20)"
      ],
      "metadata": {
        "id": "moj_Vr4I8eF-"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "X_train.shape "
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "DW9QM7sz9v8B",
        "outputId": "34d1fc2e-2a21-4cea-8e24-8d9bf6dc944e"
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      "execution_count": null,
      "outputs": [
        {
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          "data": {
            "text/plain": [
              "(440, 6)"
            ]
          },
          "metadata": {},
          "execution_count": 8
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "Y_train.value_counts()  "
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "ntqlrB44AGel",
        "outputId": "c0c90531-91b4-4ae3-d5ab-09022444d731"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "1    247\n",
              "0    193\n",
              "Name: Genre, dtype: int64"
            ]
          },
          "metadata": {},
          "execution_count": 36
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "#Neural_Networks"
      ],
      "metadata": {
        "id": "VbgKLgitGp5n"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "from keras.models import Sequential\n",
        "from keras.layers import Dense\n",
        "\n",
        "model=Sequential()\n",
        "\n",
        "#Input layer\n",
        "model.add(Dense(8,input_dim=6,kernel_initializer='uniform',activation='relu'))\n",
        "\n",
        "#Two hidden layers\n",
        "model.add(Dense(4,input_dim=6,kernel_initializer='uniform',activation='relu'))\n",
        "model.add(Dense(2,input_dim=6,kernel_initializer='uniform',activation='relu'))\n",
        "\n",
        "#Output layer\n",
        "model.add(Dense(1,input_dim=6,kernel_initializer='uniform',activation='sigmoid'))\n",
        "\n",
        "model.compile(loss='binary_crossentropy', optimizer='adam', metrics=['accuracy']) \n",
        "\n",
        "model.fit(X_train, Y_train, epochs=150, batch_size=10) \n",
        "\n",
        "y_pred=model.predict(X_test)\n",
        "\n",
        "\n",
        "from sklearn.metrics import accuracy_score\n",
        "\n",
        "ac = accuracy_score(Y_test, y_pred.round())\n",
        "print('accuracy of the model: ', ac)\n"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "wwaYZngv9Z8Z",
        "outputId": "5c29b306-7f24-469b-e9b5-8380b5101cbe"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Epoch 1/150\n",
            "44/44 [==============================] - 1s 3ms/step - loss: 0.6926 - accuracy: 0.5545\n",
            "Epoch 2/150\n",
            "44/44 [==============================] - 0s 6ms/step - loss: 0.6917 - accuracy: 0.5591\n",
            "Epoch 3/150\n",
            "44/44 [==============================] - 0s 7ms/step - loss: 0.6910 - accuracy: 0.5591\n",
            "Epoch 4/150\n",
            "44/44 [==============================] - 0s 5ms/step - loss: 0.6903 - accuracy: 0.5591\n",
            "Epoch 5/150\n",
            "44/44 [==============================] - 0s 4ms/step - loss: 0.6897 - accuracy: 0.5591\n",
            "Epoch 6/150\n",
            "44/44 [==============================] - 0s 5ms/step - loss: 0.6894 - accuracy: 0.5591\n",
            "Epoch 7/150\n",
            "44/44 [==============================] - 0s 5ms/step - loss: 0.6889 - accuracy: 0.5591\n",
            "Epoch 8/150\n",
            "44/44 [==============================] - 0s 5ms/step - loss: 0.6886 - accuracy: 0.5591\n",
            "Epoch 9/150\n",
            "44/44 [==============================] - 0s 5ms/step - loss: 0.6883 - accuracy: 0.5591\n",
            "Epoch 10/150\n",
            "44/44 [==============================] - 0s 4ms/step - loss: 0.6880 - accuracy: 0.5591\n",
            "Epoch 11/150\n",
            "44/44 [==============================] - 0s 2ms/step - loss: 0.6878 - accuracy: 0.5591\n",
            "Epoch 12/150\n",
            "44/44 [==============================] - 0s 8ms/step - loss: 0.6876 - accuracy: 0.5591\n",
            "Epoch 13/150\n",
            "44/44 [==============================] - 0s 5ms/step - loss: 0.6874 - accuracy: 0.5591\n",
            "Epoch 14/150\n",
            "44/44 [==============================] - 0s 4ms/step - loss: 0.6872 - accuracy: 0.5591\n",
            "Epoch 15/150\n",
            "44/44 [==============================] - 0s 3ms/step - loss: 0.6871 - accuracy: 0.5591\n",
            "Epoch 16/150\n",
            "44/44 [==============================] - 0s 3ms/step - loss: 0.6870 - accuracy: 0.5591\n",
            "Epoch 17/150\n",
            "44/44 [==============================] - 0s 5ms/step - loss: 0.6869 - accuracy: 0.5591\n",
            "Epoch 18/150\n",
            "44/44 [==============================] - 0s 3ms/step - loss: 0.6868 - accuracy: 0.5591\n",
            "Epoch 19/150\n",
            "44/44 [==============================] - 0s 4ms/step - loss: 0.6867 - accuracy: 0.5591\n",
            "Epoch 20/150\n",
            "44/44 [==============================] - 0s 3ms/step - loss: 0.6866 - accuracy: 0.5591\n",
            "Epoch 21/150\n",
            "44/44 [==============================] - 0s 2ms/step - loss: 0.6866 - accuracy: 0.5591\n",
            "Epoch 22/150\n",
            "44/44 [==============================] - 0s 3ms/step - loss: 0.6865 - accuracy: 0.5591\n",
            "Epoch 23/150\n",
            "44/44 [==============================] - 0s 2ms/step - loss: 0.6865 - accuracy: 0.5591\n",
            "Epoch 24/150\n",
            "44/44 [==============================] - 0s 2ms/step - loss: 0.6864 - accuracy: 0.5591\n",
            "Epoch 25/150\n",
            "44/44 [==============================] - 0s 2ms/step - loss: 0.6864 - accuracy: 0.5591\n",
            "Epoch 26/150\n",
            "44/44 [==============================] - 0s 2ms/step - loss: 0.6864 - accuracy: 0.5591\n",
            "Epoch 27/150\n",
            "44/44 [==============================] - 0s 2ms/step - loss: 0.6864 - accuracy: 0.5591\n",
            "Epoch 28/150\n",
            "44/44 [==============================] - 0s 2ms/step - loss: 0.6863 - accuracy: 0.5591\n",
            "Epoch 29/150\n",
            "44/44 [==============================] - 0s 2ms/step - loss: 0.6863 - accuracy: 0.5591\n",
            "Epoch 30/150\n",
            "44/44 [==============================] - 0s 2ms/step - loss: 0.6863 - accuracy: 0.5591\n",
            "Epoch 31/150\n",
            "44/44 [==============================] - 0s 2ms/step - loss: 0.6863 - accuracy: 0.5591\n",
            "Epoch 32/150\n",
            "44/44 [==============================] - 0s 2ms/step - loss: 0.6863 - accuracy: 0.5591\n",
            "Epoch 33/150\n",
            "44/44 [==============================] - 0s 2ms/step - loss: 0.6863 - accuracy: 0.5591\n",
            "Epoch 34/150\n",
            "44/44 [==============================] - 0s 2ms/step - loss: 0.6862 - accuracy: 0.5591\n",
            "Epoch 35/150\n",
            "44/44 [==============================] - 0s 2ms/step - loss: 0.6863 - accuracy: 0.5591\n",
            "Epoch 36/150\n",
            "44/44 [==============================] - 0s 2ms/step - loss: 0.6862 - accuracy: 0.5591\n",
            "Epoch 37/150\n",
            "44/44 [==============================] - 0s 2ms/step - loss: 0.6862 - accuracy: 0.5591\n",
            "Epoch 38/150\n",
            "44/44 [==============================] - 0s 2ms/step - loss: 0.6863 - accuracy: 0.5591\n",
            "Epoch 39/150\n",
            "44/44 [==============================] - 0s 2ms/step - loss: 0.6863 - accuracy: 0.5591\n",
            "Epoch 40/150\n",
            "44/44 [==============================] - 0s 2ms/step - loss: 0.6862 - accuracy: 0.5591\n",
            "Epoch 41/150\n",
            "44/44 [==============================] - 0s 2ms/step - loss: 0.6862 - accuracy: 0.5591\n",
            "Epoch 42/150\n",
            "44/44 [==============================] - 0s 2ms/step - loss: 0.6862 - accuracy: 0.5591\n",
            "Epoch 43/150\n",
            "44/44 [==============================] - 0s 2ms/step - loss: 0.6862 - accuracy: 0.5591\n",
            "Epoch 44/150\n",
            "44/44 [==============================] - 0s 2ms/step - loss: 0.6862 - accuracy: 0.5591\n",
            "Epoch 45/150\n",
            "44/44 [==============================] - 0s 2ms/step - loss: 0.6862 - accuracy: 0.5591\n",
            "Epoch 46/150\n",
            "44/44 [==============================] - 0s 2ms/step - loss: 0.6862 - accuracy: 0.5591\n",
            "Epoch 47/150\n",
            "44/44 [==============================] - 0s 2ms/step - loss: 0.6862 - accuracy: 0.5591\n",
            "Epoch 48/150\n",
            "44/44 [==============================] - 0s 2ms/step - loss: 0.6862 - accuracy: 0.5591\n",
            "Epoch 49/150\n",
            "44/44 [==============================] - 0s 2ms/step - loss: 0.6862 - accuracy: 0.5591\n",
            "Epoch 50/150\n",
            "44/44 [==============================] - 0s 2ms/step - loss: 0.6862 - accuracy: 0.5591\n",
            "Epoch 51/150\n",
            "44/44 [==============================] - 0s 2ms/step - loss: 0.6862 - accuracy: 0.5591\n",
            "Epoch 52/150\n",
            "44/44 [==============================] - 0s 2ms/step - loss: 0.6862 - accuracy: 0.5591\n",
            "Epoch 53/150\n",
            "44/44 [==============================] - 0s 2ms/step - loss: 0.6862 - accuracy: 0.5591\n",
            "Epoch 54/150\n",
            "44/44 [==============================] - 0s 2ms/step - loss: 0.6862 - accuracy: 0.5591\n",
            "Epoch 55/150\n",
            "44/44 [==============================] - 0s 2ms/step - loss: 0.6862 - accuracy: 0.5591\n",
            "Epoch 56/150\n",
            "44/44 [==============================] - 0s 2ms/step - loss: 0.6862 - accuracy: 0.5591\n",
            "Epoch 57/150\n",
            "44/44 [==============================] - 0s 2ms/step - loss: 0.6862 - accuracy: 0.5591\n",
            "Epoch 58/150\n",
            "44/44 [==============================] - 0s 2ms/step - loss: 0.6862 - accuracy: 0.5591\n",
            "Epoch 59/150\n",
            "44/44 [==============================] - 0s 2ms/step - loss: 0.6862 - accuracy: 0.5591\n",
            "Epoch 60/150\n",
            "44/44 [==============================] - 0s 2ms/step - loss: 0.6862 - accuracy: 0.5591\n",
            "Epoch 61/150\n",
            "44/44 [==============================] - 0s 2ms/step - loss: 0.6862 - accuracy: 0.5591\n",
            "Epoch 62/150\n",
            "44/44 [==============================] - 0s 2ms/step - loss: 0.6862 - accuracy: 0.5591\n",
            "Epoch 63/150\n",
            "44/44 [==============================] - 0s 2ms/step - loss: 0.6862 - accuracy: 0.5591\n",
            "Epoch 64/150\n",
            "44/44 [==============================] - 0s 2ms/step - loss: 0.6862 - accuracy: 0.5591\n",
            "Epoch 65/150\n",
            "44/44 [==============================] - 0s 2ms/step - loss: 0.6862 - accuracy: 0.5591\n",
            "Epoch 66/150\n",
            "44/44 [==============================] - 0s 2ms/step - loss: 0.6863 - accuracy: 0.5591\n",
            "Epoch 67/150\n",
            "44/44 [==============================] - 0s 3ms/step - loss: 0.6862 - accuracy: 0.5591\n",
            "Epoch 68/150\n",
            "44/44 [==============================] - 0s 3ms/step - loss: 0.6862 - accuracy: 0.5591\n",
            "Epoch 69/150\n",
            "44/44 [==============================] - 0s 3ms/step - loss: 0.6862 - accuracy: 0.5591\n",
            "Epoch 70/150\n",
            "44/44 [==============================] - 0s 4ms/step - loss: 0.6862 - accuracy: 0.5591\n",
            "Epoch 71/150\n",
            "44/44 [==============================] - 0s 3ms/step - loss: 0.6862 - accuracy: 0.5591\n",
            "Epoch 72/150\n",
            "44/44 [==============================] - 0s 3ms/step - loss: 0.6862 - accuracy: 0.5591\n",
            "Epoch 73/150\n",
            "44/44 [==============================] - 0s 3ms/step - loss: 0.6863 - accuracy: 0.5591\n",
            "Epoch 74/150\n",
            "44/44 [==============================] - 0s 3ms/step - loss: 0.6862 - accuracy: 0.5591\n",
            "Epoch 75/150\n",
            "44/44 [==============================] - 0s 3ms/step - loss: 0.6862 - accuracy: 0.5591\n",
            "Epoch 76/150\n",
            "44/44 [==============================] - 0s 2ms/step - loss: 0.6862 - accuracy: 0.5591\n",
            "Epoch 77/150\n",
            "44/44 [==============================] - 0s 2ms/step - loss: 0.6863 - accuracy: 0.5591\n",
            "Epoch 78/150\n",
            "44/44 [==============================] - 0s 2ms/step - loss: 0.6862 - accuracy: 0.5591\n",
            "Epoch 79/150\n",
            "44/44 [==============================] - 0s 2ms/step - loss: 0.6862 - accuracy: 0.5591\n",
            "Epoch 80/150\n",
            "44/44 [==============================] - 0s 2ms/step - loss: 0.6862 - accuracy: 0.5591\n",
            "Epoch 81/150\n",
            "44/44 [==============================] - 0s 2ms/step - loss: 0.6862 - accuracy: 0.5591\n",
            "Epoch 82/150\n",
            "44/44 [==============================] - 0s 2ms/step - loss: 0.6862 - accuracy: 0.5591\n",
            "Epoch 83/150\n",
            "44/44 [==============================] - 0s 4ms/step - loss: 0.6862 - accuracy: 0.5591\n",
            "Epoch 84/150\n",
            "44/44 [==============================] - 0s 4ms/step - loss: 0.6862 - accuracy: 0.5591\n",
            "Epoch 85/150\n",
            "44/44 [==============================] - 0s 3ms/step - loss: 0.6862 - accuracy: 0.5591\n",
            "Epoch 86/150\n",
            "44/44 [==============================] - 0s 3ms/step - loss: 0.6862 - accuracy: 0.5591\n",
            "Epoch 87/150\n",
            "44/44 [==============================] - 0s 3ms/step - loss: 0.6863 - accuracy: 0.5591\n",
            "Epoch 88/150\n",
            "44/44 [==============================] - 0s 3ms/step - loss: 0.6862 - accuracy: 0.5591\n",
            "Epoch 89/150\n",
            "44/44 [==============================] - 0s 2ms/step - loss: 0.6862 - accuracy: 0.5591\n",
            "Epoch 90/150\n",
            "44/44 [==============================] - 0s 2ms/step - loss: 0.6862 - accuracy: 0.5591\n",
            "Epoch 91/150\n",
            "44/44 [==============================] - 0s 3ms/step - loss: 0.6862 - accuracy: 0.5591\n",
            "Epoch 92/150\n",
            "44/44 [==============================] - 0s 4ms/step - loss: 0.6862 - accuracy: 0.5591\n",
            "Epoch 93/150\n",
            "44/44 [==============================] - 0s 3ms/step - loss: 0.6862 - accuracy: 0.5591\n",
            "Epoch 94/150\n",
            "44/44 [==============================] - 0s 2ms/step - loss: 0.6862 - accuracy: 0.5591\n",
            "Epoch 95/150\n",
            "44/44 [==============================] - 0s 2ms/step - loss: 0.6862 - accuracy: 0.5591\n",
            "Epoch 96/150\n",
            "44/44 [==============================] - 0s 3ms/step - loss: 0.6862 - accuracy: 0.5591\n",
            "Epoch 97/150\n",
            "44/44 [==============================] - 0s 3ms/step - loss: 0.6862 - accuracy: 0.5591\n",
            "Epoch 98/150\n",
            "44/44 [==============================] - 0s 3ms/step - loss: 0.6862 - accuracy: 0.5591\n",
            "Epoch 99/150\n",
            "44/44 [==============================] - 0s 3ms/step - loss: 0.6862 - accuracy: 0.5591\n",
            "Epoch 100/150\n",
            "44/44 [==============================] - 0s 3ms/step - loss: 0.6862 - accuracy: 0.5591\n",
            "Epoch 101/150\n",
            "44/44 [==============================] - 0s 4ms/step - loss: 0.6862 - accuracy: 0.5591\n",
            "Epoch 102/150\n",
            "44/44 [==============================] - 0s 3ms/step - loss: 0.6862 - accuracy: 0.5591\n",
            "Epoch 103/150\n",
            "44/44 [==============================] - 0s 3ms/step - loss: 0.6862 - accuracy: 0.5591\n",
            "Epoch 104/150\n",
            "44/44 [==============================] - 0s 4ms/step - loss: 0.6862 - accuracy: 0.5591\n",
            "Epoch 105/150\n",
            "44/44 [==============================] - 0s 2ms/step - loss: 0.6862 - accuracy: 0.5591\n",
            "Epoch 106/150\n",
            "44/44 [==============================] - 0s 2ms/step - loss: 0.6862 - accuracy: 0.5591\n",
            "Epoch 107/150\n",
            "44/44 [==============================] - 0s 2ms/step - loss: 0.6863 - accuracy: 0.5591\n",
            "Epoch 108/150\n",
            "44/44 [==============================] - 0s 2ms/step - loss: 0.6861 - accuracy: 0.5591\n",
            "Epoch 109/150\n",
            "44/44 [==============================] - 0s 2ms/step - loss: 0.6862 - accuracy: 0.5591\n",
            "Epoch 110/150\n",
            "44/44 [==============================] - 0s 2ms/step - loss: 0.6862 - accuracy: 0.5591\n",
            "Epoch 111/150\n",
            "44/44 [==============================] - 0s 2ms/step - loss: 0.6862 - accuracy: 0.5591\n",
            "Epoch 112/150\n",
            "44/44 [==============================] - 0s 3ms/step - loss: 0.6862 - accuracy: 0.5591\n",
            "Epoch 113/150\n",
            "44/44 [==============================] - 0s 2ms/step - loss: 0.6862 - accuracy: 0.5591\n",
            "Epoch 114/150\n",
            "44/44 [==============================] - 0s 2ms/step - loss: 0.6863 - accuracy: 0.5591\n",
            "Epoch 115/150\n",
            "44/44 [==============================] - 0s 3ms/step - loss: 0.6862 - accuracy: 0.5591\n",
            "Epoch 116/150\n",
            "44/44 [==============================] - 0s 4ms/step - loss: 0.6862 - accuracy: 0.5591\n",
            "Epoch 117/150\n",
            "44/44 [==============================] - 0s 3ms/step - loss: 0.6862 - accuracy: 0.5591\n",
            "Epoch 118/150\n",
            "44/44 [==============================] - 0s 2ms/step - loss: 0.6862 - accuracy: 0.5591\n",
            "Epoch 119/150\n",
            "44/44 [==============================] - 0s 2ms/step - loss: 0.6862 - accuracy: 0.5591\n",
            "Epoch 120/150\n",
            "44/44 [==============================] - 0s 3ms/step - loss: 0.6862 - accuracy: 0.5591\n",
            "Epoch 121/150\n",
            "44/44 [==============================] - 0s 2ms/step - loss: 0.6862 - accuracy: 0.5591\n",
            "Epoch 122/150\n",
            "44/44 [==============================] - 0s 3ms/step - loss: 0.6862 - accuracy: 0.5591\n",
            "Epoch 123/150\n",
            "44/44 [==============================] - 0s 3ms/step - loss: 0.6862 - accuracy: 0.5591\n",
            "Epoch 124/150\n",
            "44/44 [==============================] - 0s 3ms/step - loss: 0.6863 - accuracy: 0.5591\n",
            "Epoch 125/150\n",
            "44/44 [==============================] - 0s 2ms/step - loss: 0.6862 - accuracy: 0.5591\n",
            "Epoch 126/150\n",
            "44/44 [==============================] - 0s 2ms/step - loss: 0.6862 - accuracy: 0.5591\n",
            "Epoch 127/150\n",
            "44/44 [==============================] - 0s 2ms/step - loss: 0.6862 - accuracy: 0.5591\n",
            "Epoch 128/150\n",
            "44/44 [==============================] - 0s 2ms/step - loss: 0.6862 - accuracy: 0.5591\n",
            "Epoch 129/150\n",
            "44/44 [==============================] - 0s 2ms/step - loss: 0.6862 - accuracy: 0.5591\n",
            "Epoch 130/150\n",
            "44/44 [==============================] - 0s 3ms/step - loss: 0.6862 - accuracy: 0.5591\n",
            "Epoch 131/150\n",
            "44/44 [==============================] - 0s 3ms/step - loss: 0.6862 - accuracy: 0.5591\n",
            "Epoch 132/150\n",
            "44/44 [==============================] - 0s 2ms/step - loss: 0.6862 - accuracy: 0.5591\n",
            "Epoch 133/150\n",
            "44/44 [==============================] - 0s 2ms/step - loss: 0.6862 - accuracy: 0.5591\n",
            "Epoch 134/150\n",
            "44/44 [==============================] - 0s 2ms/step - loss: 0.6862 - accuracy: 0.5591\n",
            "Epoch 135/150\n",
            "44/44 [==============================] - 0s 2ms/step - loss: 0.6862 - accuracy: 0.5591\n",
            "Epoch 136/150\n",
            "44/44 [==============================] - 0s 3ms/step - loss: 0.6862 - accuracy: 0.5591\n",
            "Epoch 137/150\n",
            "44/44 [==============================] - 0s 5ms/step - loss: 0.6862 - accuracy: 0.5591\n",
            "Epoch 138/150\n",
            "44/44 [==============================] - 0s 3ms/step - loss: 0.6862 - accuracy: 0.5591\n",
            "Epoch 139/150\n",
            "44/44 [==============================] - 0s 3ms/step - loss: 0.6862 - accuracy: 0.5591\n",
            "Epoch 140/150\n",
            "44/44 [==============================] - 0s 3ms/step - loss: 0.6862 - accuracy: 0.5591\n",
            "Epoch 141/150\n",
            "44/44 [==============================] - 0s 2ms/step - loss: 0.6862 - accuracy: 0.5591\n",
            "Epoch 142/150\n",
            "44/44 [==============================] - 0s 3ms/step - loss: 0.6862 - accuracy: 0.5591\n",
            "Epoch 143/150\n",
            "44/44 [==============================] - 0s 3ms/step - loss: 0.6862 - accuracy: 0.5591\n",
            "Epoch 144/150\n",
            "44/44 [==============================] - 0s 3ms/step - loss: 0.6862 - accuracy: 0.5591\n",
            "Epoch 145/150\n",
            "44/44 [==============================] - 0s 3ms/step - loss: 0.6862 - accuracy: 0.5591\n",
            "Epoch 146/150\n",
            "44/44 [==============================] - 0s 3ms/step - loss: 0.6862 - accuracy: 0.5591\n",
            "Epoch 147/150\n",
            "44/44 [==============================] - 0s 3ms/step - loss: 0.6862 - accuracy: 0.5591\n",
            "Epoch 148/150\n",
            "44/44 [==============================] - 0s 2ms/step - loss: 0.6862 - accuracy: 0.5591\n",
            "Epoch 149/150\n",
            "44/44 [==============================] - 0s 2ms/step - loss: 0.6862 - accuracy: 0.5591\n",
            "Epoch 150/150\n",
            "44/44 [==============================] - 0s 3ms/step - loss: 0.6863 - accuracy: 0.5591\n",
            "4/4 [==============================] - 0s 3ms/step\n",
            "accuracy of the model:  0.5818181818181818\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "from keras.models import Sequential\n",
        "from keras.layers import Dense\n",
        "\n",
        "model=Sequential()\n",
        "\n",
        "#Input layer\n",
        "model.add(Dense(16,input_dim=6,kernel_initializer='uniform',activation='relu'))\n",
        "\n",
        "#Two hidden layers\n",
        "model.add(Dense(8,kernel_initializer='uniform',activation='relu'))\n",
        "model.add(Dense(8,kernel_initializer='uniform',activation='relu'))\n",
        "model.add(Dense(4,kernel_initializer='uniform',activation='relu'))\n",
        "\n",
        "#Output layer\n",
        "model.add(Dense(1,kernel_initializer='uniform',activation='sigmoid'))\n",
        "\n",
        "model.compile(loss='binary_crossentropy', optimizer='adam', metrics=['accuracy']) \n",
        "\n",
        "model.fit(X_train, Y_train, epochs=150, batch_size=10) \n",
        "\n",
        "y_pred=model.predict(X_test)\n",
        "\n",
        "\n",
        "from sklearn.metrics import accuracy_score\n",
        "\n",
        "ac = accuracy_score(Y_test, y_pred.round())\n",
        "print('accuracy of the model: ', ac)\n"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "eSNKxUeB_Dao",
        "outputId": "177063f2-baad-4552-a878-2754a6a9cd36"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Epoch 1/150\n",
            "44/44 [==============================] - 1s 2ms/step - loss: 0.6930 - accuracy: 0.5545\n",
            "Epoch 2/150\n",
            "44/44 [==============================] - 0s 2ms/step - loss: 0.6919 - accuracy: 0.5591\n",
            "Epoch 3/150\n",
            "44/44 [==============================] - 0s 5ms/step - loss: 0.6889 - accuracy: 0.5591\n",
            "Epoch 4/150\n",
            "44/44 [==============================] - 0s 4ms/step - loss: 0.6672 - accuracy: 0.5591\n",
            "Epoch 5/150\n",
            "44/44 [==============================] - 0s 5ms/step - loss: 0.6594 - accuracy: 0.5591\n",
            "Epoch 6/150\n",
            "44/44 [==============================] - 0s 2ms/step - loss: 0.6571 - accuracy: 0.5591\n",
            "Epoch 7/150\n",
            "44/44 [==============================] - 0s 2ms/step - loss: 0.6574 - accuracy: 0.5591\n",
            "Epoch 8/150\n",
            "44/44 [==============================] - 0s 2ms/step - loss: 0.6546 - accuracy: 0.5591\n",
            "Epoch 9/150\n",
            "44/44 [==============================] - 0s 2ms/step - loss: 0.6546 - accuracy: 0.5795\n",
            "Epoch 10/150\n",
            "44/44 [==============================] - 0s 2ms/step - loss: 0.6537 - accuracy: 0.6409\n",
            "Epoch 11/150\n",
            "44/44 [==============================] - 0s 2ms/step - loss: 0.6568 - accuracy: 0.6250\n",
            "Epoch 12/150\n",
            "44/44 [==============================] - 0s 2ms/step - loss: 0.6549 - accuracy: 0.6273\n",
            "Epoch 13/150\n",
            "44/44 [==============================] - 0s 2ms/step - loss: 0.6511 - accuracy: 0.6364\n",
            "Epoch 14/150\n",
            "44/44 [==============================] - 0s 2ms/step - loss: 0.6528 - accuracy: 0.6364\n",
            "Epoch 15/150\n",
            "44/44 [==============================] - 0s 2ms/step - loss: 0.6577 - accuracy: 0.6091\n",
            "Epoch 16/150\n",
            "44/44 [==============================] - 0s 2ms/step - loss: 0.6504 - accuracy: 0.6341\n",
            "Epoch 17/150\n",
            "44/44 [==============================] - 0s 2ms/step - loss: 0.6507 - accuracy: 0.6364\n",
            "Epoch 18/150\n",
            "44/44 [==============================] - 0s 2ms/step - loss: 0.6484 - accuracy: 0.6409\n",
            "Epoch 19/150\n",
            "44/44 [==============================] - 0s 2ms/step - loss: 0.6504 - accuracy: 0.6273\n",
            "Epoch 20/150\n",
            "44/44 [==============================] - 0s 2ms/step - loss: 0.6500 - accuracy: 0.6386\n",
            "Epoch 21/150\n",
            "44/44 [==============================] - 0s 2ms/step - loss: 0.6485 - accuracy: 0.6409\n",
            "Epoch 22/150\n",
            "44/44 [==============================] - 0s 2ms/step - loss: 0.6471 - accuracy: 0.6432\n",
            "Epoch 23/150\n",
            "44/44 [==============================] - 0s 2ms/step - loss: 0.6480 - accuracy: 0.6386\n",
            "Epoch 24/150\n",
            "44/44 [==============================] - 0s 2ms/step - loss: 0.6456 - accuracy: 0.6386\n",
            "Epoch 25/150\n",
            "44/44 [==============================] - 0s 3ms/step - loss: 0.6508 - accuracy: 0.6341\n",
            "Epoch 26/150\n",
            "44/44 [==============================] - 0s 2ms/step - loss: 0.6472 - accuracy: 0.6295\n",
            "Epoch 27/150\n",
            "44/44 [==============================] - 0s 2ms/step - loss: 0.6463 - accuracy: 0.6455\n",
            "Epoch 28/150\n",
            "44/44 [==============================] - 0s 2ms/step - loss: 0.6479 - accuracy: 0.6364\n",
            "Epoch 29/150\n",
            "44/44 [==============================] - 0s 2ms/step - loss: 0.6482 - accuracy: 0.6341\n",
            "Epoch 30/150\n",
            "44/44 [==============================] - 0s 2ms/step - loss: 0.6468 - accuracy: 0.6364\n",
            "Epoch 31/150\n",
            "44/44 [==============================] - 0s 2ms/step - loss: 0.6457 - accuracy: 0.6295\n",
            "Epoch 32/150\n",
            "44/44 [==============================] - 0s 2ms/step - loss: 0.6448 - accuracy: 0.6500\n",
            "Epoch 33/150\n",
            "44/44 [==============================] - 0s 2ms/step - loss: 0.6446 - accuracy: 0.6318\n",
            "Epoch 34/150\n",
            "44/44 [==============================] - 0s 2ms/step - loss: 0.6449 - accuracy: 0.6432\n",
            "Epoch 35/150\n",
            "44/44 [==============================] - 0s 3ms/step - loss: 0.6450 - accuracy: 0.6386\n",
            "Epoch 36/150\n",
            "44/44 [==============================] - 0s 2ms/step - loss: 0.6431 - accuracy: 0.6386\n",
            "Epoch 37/150\n",
            "44/44 [==============================] - 0s 2ms/step - loss: 0.6485 - accuracy: 0.6386\n",
            "Epoch 38/150\n",
            "44/44 [==============================] - 0s 2ms/step - loss: 0.6511 - accuracy: 0.6409\n",
            "Epoch 39/150\n",
            "44/44 [==============================] - 0s 2ms/step - loss: 0.6418 - accuracy: 0.6409\n",
            "Epoch 40/150\n",
            "44/44 [==============================] - 0s 2ms/step - loss: 0.6440 - accuracy: 0.6250\n",
            "Epoch 41/150\n",
            "44/44 [==============================] - 0s 2ms/step - loss: 0.6423 - accuracy: 0.6318\n",
            "Epoch 42/150\n",
            "44/44 [==============================] - 0s 2ms/step - loss: 0.6436 - accuracy: 0.6273\n",
            "Epoch 43/150\n",
            "44/44 [==============================] - 0s 2ms/step - loss: 0.6415 - accuracy: 0.6341\n",
            "Epoch 44/150\n",
            "44/44 [==============================] - 0s 2ms/step - loss: 0.6416 - accuracy: 0.6386\n",
            "Epoch 45/150\n",
            "44/44 [==============================] - 0s 2ms/step - loss: 0.6406 - accuracy: 0.6432\n",
            "Epoch 46/150\n",
            "44/44 [==============================] - 0s 2ms/step - loss: 0.6445 - accuracy: 0.6341\n",
            "Epoch 47/150\n",
            "44/44 [==============================] - 0s 2ms/step - loss: 0.6414 - accuracy: 0.6205\n",
            "Epoch 48/150\n",
            "44/44 [==============================] - 0s 2ms/step - loss: 0.6398 - accuracy: 0.6318\n",
            "Epoch 49/150\n",
            "44/44 [==============================] - 0s 2ms/step - loss: 0.6424 - accuracy: 0.6318\n",
            "Epoch 50/150\n",
            "44/44 [==============================] - 0s 2ms/step - loss: 0.6398 - accuracy: 0.6364\n",
            "Epoch 51/150\n",
            "44/44 [==============================] - 0s 2ms/step - loss: 0.6427 - accuracy: 0.6341\n",
            "Epoch 52/150\n",
            "44/44 [==============================] - 0s 2ms/step - loss: 0.6408 - accuracy: 0.6273\n",
            "Epoch 53/150\n",
            "44/44 [==============================] - 0s 2ms/step - loss: 0.6413 - accuracy: 0.6341\n",
            "Epoch 54/150\n",
            "44/44 [==============================] - 0s 2ms/step - loss: 0.6395 - accuracy: 0.6409\n",
            "Epoch 55/150\n",
            "44/44 [==============================] - 0s 2ms/step - loss: 0.6453 - accuracy: 0.6341\n",
            "Epoch 56/150\n",
            "44/44 [==============================] - 0s 2ms/step - loss: 0.6382 - accuracy: 0.6409\n",
            "Epoch 57/150\n",
            "44/44 [==============================] - 0s 2ms/step - loss: 0.6397 - accuracy: 0.6364\n",
            "Epoch 58/150\n",
            "44/44 [==============================] - 0s 2ms/step - loss: 0.6381 - accuracy: 0.6409\n",
            "Epoch 59/150\n",
            "44/44 [==============================] - 0s 2ms/step - loss: 0.6401 - accuracy: 0.6386\n",
            "Epoch 60/150\n",
            "44/44 [==============================] - 0s 2ms/step - loss: 0.6377 - accuracy: 0.6227\n",
            "Epoch 61/150\n",
            "44/44 [==============================] - 0s 2ms/step - loss: 0.6383 - accuracy: 0.6250\n",
            "Epoch 62/150\n",
            "44/44 [==============================] - 0s 2ms/step - loss: 0.6361 - accuracy: 0.6386\n",
            "Epoch 63/150\n",
            "44/44 [==============================] - 0s 2ms/step - loss: 0.6400 - accuracy: 0.6295\n",
            "Epoch 64/150\n",
            "44/44 [==============================] - 0s 2ms/step - loss: 0.6423 - accuracy: 0.6295\n",
            "Epoch 65/150\n",
            "44/44 [==============================] - 0s 2ms/step - loss: 0.6386 - accuracy: 0.6273\n",
            "Epoch 66/150\n",
            "44/44 [==============================] - 0s 2ms/step - loss: 0.6454 - accuracy: 0.6250\n",
            "Epoch 67/150\n",
            "44/44 [==============================] - 0s 2ms/step - loss: 0.6375 - accuracy: 0.6364\n",
            "Epoch 68/150\n",
            "44/44 [==============================] - 0s 2ms/step - loss: 0.6396 - accuracy: 0.6273\n",
            "Epoch 69/150\n",
            "44/44 [==============================] - 0s 2ms/step - loss: 0.6351 - accuracy: 0.6341\n",
            "Epoch 70/150\n",
            "44/44 [==============================] - 0s 2ms/step - loss: 0.6391 - accuracy: 0.6341\n",
            "Epoch 71/150\n",
            "44/44 [==============================] - 0s 2ms/step - loss: 0.6391 - accuracy: 0.6364\n",
            "Epoch 72/150\n",
            "44/44 [==============================] - 0s 2ms/step - loss: 0.6370 - accuracy: 0.6409\n",
            "Epoch 73/150\n",
            "44/44 [==============================] - 0s 2ms/step - loss: 0.6337 - accuracy: 0.6409\n",
            "Epoch 74/150\n",
            "44/44 [==============================] - 0s 2ms/step - loss: 0.6352 - accuracy: 0.6455\n",
            "Epoch 75/150\n",
            "44/44 [==============================] - 0s 2ms/step - loss: 0.6351 - accuracy: 0.6341\n",
            "Epoch 76/150\n",
            "44/44 [==============================] - 0s 2ms/step - loss: 0.6335 - accuracy: 0.6341\n",
            "Epoch 77/150\n",
            "44/44 [==============================] - 0s 2ms/step - loss: 0.6334 - accuracy: 0.6295\n",
            "Epoch 78/150\n",
            "44/44 [==============================] - 0s 2ms/step - loss: 0.6374 - accuracy: 0.6409\n",
            "Epoch 79/150\n",
            "44/44 [==============================] - 0s 2ms/step - loss: 0.6327 - accuracy: 0.6432\n",
            "Epoch 80/150\n",
            "44/44 [==============================] - 0s 2ms/step - loss: 0.6376 - accuracy: 0.6295\n",
            "Epoch 81/150\n",
            "44/44 [==============================] - 0s 2ms/step - loss: 0.6380 - accuracy: 0.6364\n",
            "Epoch 82/150\n",
            "44/44 [==============================] - 0s 2ms/step - loss: 0.6365 - accuracy: 0.6432\n",
            "Epoch 83/150\n",
            "44/44 [==============================] - 0s 2ms/step - loss: 0.6345 - accuracy: 0.6341\n",
            "Epoch 84/150\n",
            "44/44 [==============================] - 0s 2ms/step - loss: 0.6374 - accuracy: 0.6250\n",
            "Epoch 85/150\n",
            "44/44 [==============================] - 0s 2ms/step - loss: 0.6341 - accuracy: 0.6364\n",
            "Epoch 86/150\n",
            "44/44 [==============================] - 0s 2ms/step - loss: 0.6340 - accuracy: 0.6295\n",
            "Epoch 87/150\n",
            "44/44 [==============================] - 0s 2ms/step - loss: 0.6335 - accuracy: 0.6295\n",
            "Epoch 88/150\n",
            "44/44 [==============================] - 0s 2ms/step - loss: 0.6349 - accuracy: 0.6227\n",
            "Epoch 89/150\n",
            "44/44 [==============================] - 0s 2ms/step - loss: 0.6315 - accuracy: 0.6364\n",
            "Epoch 90/150\n",
            "44/44 [==============================] - 0s 2ms/step - loss: 0.6452 - accuracy: 0.6205\n",
            "Epoch 91/150\n",
            "44/44 [==============================] - 0s 2ms/step - loss: 0.6390 - accuracy: 0.6227\n",
            "Epoch 92/150\n",
            "44/44 [==============================] - 0s 2ms/step - loss: 0.6318 - accuracy: 0.6273\n",
            "Epoch 93/150\n",
            "44/44 [==============================] - 0s 2ms/step - loss: 0.6310 - accuracy: 0.6386\n",
            "Epoch 94/150\n",
            "44/44 [==============================] - 0s 2ms/step - loss: 0.6381 - accuracy: 0.6205\n",
            "Epoch 95/150\n",
            "44/44 [==============================] - 0s 2ms/step - loss: 0.6404 - accuracy: 0.6318\n",
            "Epoch 96/150\n",
            "44/44 [==============================] - 0s 2ms/step - loss: 0.6410 - accuracy: 0.6341\n",
            "Epoch 97/150\n",
            "44/44 [==============================] - 0s 2ms/step - loss: 0.6324 - accuracy: 0.6205\n",
            "Epoch 98/150\n",
            "44/44 [==============================] - 0s 2ms/step - loss: 0.6336 - accuracy: 0.6273\n",
            "Epoch 99/150\n",
            "44/44 [==============================] - 0s 2ms/step - loss: 0.6476 - accuracy: 0.5977\n",
            "Epoch 100/150\n",
            "44/44 [==============================] - 0s 2ms/step - loss: 0.6345 - accuracy: 0.6386\n",
            "Epoch 101/150\n",
            "44/44 [==============================] - 0s 2ms/step - loss: 0.6316 - accuracy: 0.6273\n",
            "Epoch 102/150\n",
            "44/44 [==============================] - 0s 2ms/step - loss: 0.6324 - accuracy: 0.6159\n",
            "Epoch 103/150\n",
            "44/44 [==============================] - 0s 2ms/step - loss: 0.6350 - accuracy: 0.6159\n",
            "Epoch 104/150\n",
            "44/44 [==============================] - 0s 2ms/step - loss: 0.6288 - accuracy: 0.6477\n",
            "Epoch 105/150\n",
            "44/44 [==============================] - 0s 2ms/step - loss: 0.6326 - accuracy: 0.6159\n",
            "Epoch 106/150\n",
            "44/44 [==============================] - 0s 2ms/step - loss: 0.6312 - accuracy: 0.6432\n",
            "Epoch 107/150\n",
            "44/44 [==============================] - 0s 2ms/step - loss: 0.6343 - accuracy: 0.6114\n",
            "Epoch 108/150\n",
            "44/44 [==============================] - 0s 2ms/step - loss: 0.6297 - accuracy: 0.6295\n",
            "Epoch 109/150\n",
            "44/44 [==============================] - 0s 2ms/step - loss: 0.6347 - accuracy: 0.6205\n",
            "Epoch 110/150\n",
            "44/44 [==============================] - 0s 2ms/step - loss: 0.6264 - accuracy: 0.6273\n",
            "Epoch 111/150\n",
            "44/44 [==============================] - 0s 2ms/step - loss: 0.6405 - accuracy: 0.6205\n",
            "Epoch 112/150\n",
            "44/44 [==============================] - 0s 2ms/step - loss: 0.6319 - accuracy: 0.6386\n",
            "Epoch 113/150\n",
            "44/44 [==============================] - 0s 2ms/step - loss: 0.6331 - accuracy: 0.6227\n",
            "Epoch 114/150\n",
            "44/44 [==============================] - 0s 2ms/step - loss: 0.6303 - accuracy: 0.6318\n",
            "Epoch 115/150\n",
            "44/44 [==============================] - 0s 2ms/step - loss: 0.6281 - accuracy: 0.6386\n",
            "Epoch 116/150\n",
            "44/44 [==============================] - 0s 2ms/step - loss: 0.6285 - accuracy: 0.6386\n",
            "Epoch 117/150\n",
            "44/44 [==============================] - 0s 2ms/step - loss: 0.6333 - accuracy: 0.6318\n",
            "Epoch 118/150\n",
            "44/44 [==============================] - 0s 2ms/step - loss: 0.6271 - accuracy: 0.6295\n",
            "Epoch 119/150\n",
            "44/44 [==============================] - 0s 2ms/step - loss: 0.6260 - accuracy: 0.6341\n",
            "Epoch 120/150\n",
            "44/44 [==============================] - 0s 2ms/step - loss: 0.6268 - accuracy: 0.6386\n",
            "Epoch 121/150\n",
            "44/44 [==============================] - 0s 2ms/step - loss: 0.6241 - accuracy: 0.6477\n",
            "Epoch 122/150\n",
            "44/44 [==============================] - 0s 2ms/step - loss: 0.6244 - accuracy: 0.6182\n",
            "Epoch 123/150\n",
            "44/44 [==============================] - 0s 2ms/step - loss: 0.6306 - accuracy: 0.6273\n",
            "Epoch 124/150\n",
            "44/44 [==============================] - 0s 2ms/step - loss: 0.6230 - accuracy: 0.6386\n",
            "Epoch 125/150\n",
            "44/44 [==============================] - 0s 2ms/step - loss: 0.6261 - accuracy: 0.6432\n",
            "Epoch 126/150\n",
            "44/44 [==============================] - 0s 2ms/step - loss: 0.6278 - accuracy: 0.6409\n",
            "Epoch 127/150\n",
            "44/44 [==============================] - 0s 2ms/step - loss: 0.6270 - accuracy: 0.6409\n",
            "Epoch 128/150\n",
            "44/44 [==============================] - 0s 2ms/step - loss: 0.6328 - accuracy: 0.6295\n",
            "Epoch 129/150\n",
            "44/44 [==============================] - 0s 2ms/step - loss: 0.6242 - accuracy: 0.6273\n",
            "Epoch 130/150\n",
            "44/44 [==============================] - 0s 2ms/step - loss: 0.6241 - accuracy: 0.6364\n",
            "Epoch 131/150\n",
            "44/44 [==============================] - 0s 2ms/step - loss: 0.6255 - accuracy: 0.6341\n",
            "Epoch 132/150\n",
            "44/44 [==============================] - 0s 2ms/step - loss: 0.6306 - accuracy: 0.6318\n",
            "Epoch 133/150\n",
            "44/44 [==============================] - 0s 2ms/step - loss: 0.6220 - accuracy: 0.6500\n",
            "Epoch 134/150\n",
            "44/44 [==============================] - 0s 2ms/step - loss: 0.6242 - accuracy: 0.6318\n",
            "Epoch 135/150\n",
            "44/44 [==============================] - 0s 2ms/step - loss: 0.6275 - accuracy: 0.6205\n",
            "Epoch 136/150\n",
            "44/44 [==============================] - 0s 2ms/step - loss: 0.6254 - accuracy: 0.6205\n",
            "Epoch 137/150\n",
            "44/44 [==============================] - 0s 2ms/step - loss: 0.6269 - accuracy: 0.6295\n",
            "Epoch 138/150\n",
            "44/44 [==============================] - 0s 2ms/step - loss: 0.6255 - accuracy: 0.6341\n",
            "Epoch 139/150\n",
            "44/44 [==============================] - 0s 2ms/step - loss: 0.6216 - accuracy: 0.6432\n",
            "Epoch 140/150\n",
            "44/44 [==============================] - 0s 2ms/step - loss: 0.6222 - accuracy: 0.6432\n",
            "Epoch 141/150\n",
            "44/44 [==============================] - 0s 2ms/step - loss: 0.6180 - accuracy: 0.6295\n",
            "Epoch 142/150\n",
            "44/44 [==============================] - 0s 2ms/step - loss: 0.6244 - accuracy: 0.6295\n",
            "Epoch 143/150\n",
            "44/44 [==============================] - 0s 2ms/step - loss: 0.6220 - accuracy: 0.6364\n",
            "Epoch 144/150\n",
            "44/44 [==============================] - 0s 2ms/step - loss: 0.6189 - accuracy: 0.6250\n",
            "Epoch 145/150\n",
            "44/44 [==============================] - 0s 2ms/step - loss: 0.6208 - accuracy: 0.6318\n",
            "Epoch 146/150\n",
            "44/44 [==============================] - 0s 2ms/step - loss: 0.6187 - accuracy: 0.6318\n",
            "Epoch 147/150\n",
            "44/44 [==============================] - 0s 2ms/step - loss: 0.6240 - accuracy: 0.6273\n",
            "Epoch 148/150\n",
            "44/44 [==============================] - 0s 2ms/step - loss: 0.6233 - accuracy: 0.6386\n",
            "Epoch 149/150\n",
            "44/44 [==============================] - 0s 2ms/step - loss: 0.6187 - accuracy: 0.6386\n",
            "Epoch 150/150\n",
            "44/44 [==============================] - 0s 2ms/step - loss: 0.6228 - accuracy: 0.6341\n",
            "4/4 [==============================] - 0s 3ms/step\n",
            "accuracy of the model:  0.6454545454545455\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "from keras.models import Sequential\n",
        "from keras.layers import Dense\n",
        "\n",
        "model=Sequential()\n",
        "\n",
        "#Input layer\n",
        "model.add(Dense(32,input_dim=6,kernel_initializer='uniform',activation='relu'))\n",
        "\n",
        "#Two hidden layers\n",
        "model.add(Dense(16,kernel_initializer='uniform',activation='relu'))\n",
        "model.add(Dense(16,kernel_initializer='uniform',activation='relu'))\n",
        "model.add(Dense(8,kernel_initializer='uniform',activation='relu'))\n",
        "model.add(Dense(8,kernel_initializer='uniform',activation='relu'))\n",
        "\n",
        "#Output layer\n",
        "model.add(Dense(1,kernel_initializer='uniform',activation='sigmoid'))\n",
        "\n",
        "model.compile(loss='binary_crossentropy', optimizer='adam', metrics=['accuracy']) \n",
        "\n",
        "model.fit(X_train, Y_train, epochs=150, batch_size=10) \n",
        "\n",
        "y_pred=model.predict(X_test)\n",
        "\n",
        "\n",
        "from sklearn.metrics import accuracy_score\n",
        "\n",
        "ac = accuracy_score(Y_test, y_pred.round())\n",
        "print('accuracy of the model: ', ac)\n"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "0RD343a-DYeR",
        "outputId": "e696b57d-463c-4e86-9d5f-dbf531a7bc84"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Epoch 1/150\n",
            "44/44 [==============================] - 1s 3ms/step - loss: 0.6933 - accuracy: 0.4773\n",
            "Epoch 2/150\n",
            "44/44 [==============================] - 0s 2ms/step - loss: 0.6922 - accuracy: 0.5909\n",
            "Epoch 3/150\n",
            "44/44 [==============================] - 0s 2ms/step - loss: 0.6860 - accuracy: 0.6068\n",
            "Epoch 4/150\n",
            "44/44 [==============================] - 0s 2ms/step - loss: 0.6804 - accuracy: 0.6250\n",
            "Epoch 5/150\n",
            "44/44 [==============================] - 0s 3ms/step - loss: 0.6761 - accuracy: 0.6250\n",
            "Epoch 6/150\n",
            "44/44 [==============================] - 0s 2ms/step - loss: 0.6710 - accuracy: 0.6318\n",
            "Epoch 7/150\n",
            "44/44 [==============================] - 0s 3ms/step - loss: 0.6680 - accuracy: 0.6364\n",
            "Epoch 8/150\n",
            "44/44 [==============================] - 0s 2ms/step - loss: 0.6548 - accuracy: 0.6295\n",
            "Epoch 9/150\n",
            "44/44 [==============================] - 0s 2ms/step - loss: 0.6486 - accuracy: 0.6273\n",
            "Epoch 10/150\n",
            "44/44 [==============================] - 0s 3ms/step - loss: 0.6441 - accuracy: 0.6250\n",
            "Epoch 11/150\n",
            "44/44 [==============================] - 0s 2ms/step - loss: 0.6476 - accuracy: 0.6250\n",
            "Epoch 12/150\n",
            "44/44 [==============================] - 0s 2ms/step - loss: 0.6422 - accuracy: 0.6432\n",
            "Epoch 13/150\n",
            "44/44 [==============================] - 0s 2ms/step - loss: 0.6400 - accuracy: 0.6341\n",
            "Epoch 14/150\n",
            "44/44 [==============================] - 0s 2ms/step - loss: 0.6420 - accuracy: 0.6341\n",
            "Epoch 15/150\n",
            "44/44 [==============================] - 0s 2ms/step - loss: 0.6408 - accuracy: 0.6250\n",
            "Epoch 16/150\n",
            "44/44 [==============================] - 0s 3ms/step - loss: 0.6422 - accuracy: 0.6455\n",
            "Epoch 17/150\n",
            "44/44 [==============================] - 0s 2ms/step - loss: 0.6445 - accuracy: 0.6386\n",
            "Epoch 18/150\n",
            "44/44 [==============================] - 0s 2ms/step - loss: 0.6389 - accuracy: 0.6364\n",
            "Epoch 19/150\n",
            "44/44 [==============================] - 0s 2ms/step - loss: 0.6416 - accuracy: 0.6273\n",
            "Epoch 20/150\n",
            "44/44 [==============================] - 0s 2ms/step - loss: 0.6396 - accuracy: 0.6432\n",
            "Epoch 21/150\n",
            "44/44 [==============================] - 0s 2ms/step - loss: 0.6385 - accuracy: 0.6364\n",
            "Epoch 22/150\n",
            "44/44 [==============================] - 0s 2ms/step - loss: 0.6410 - accuracy: 0.6364\n",
            "Epoch 23/150\n",
            "44/44 [==============================] - 0s 2ms/step - loss: 0.6376 - accuracy: 0.6386\n",
            "Epoch 24/150\n",
            "44/44 [==============================] - 0s 2ms/step - loss: 0.6375 - accuracy: 0.6386\n",
            "Epoch 25/150\n",
            "44/44 [==============================] - 0s 2ms/step - loss: 0.6367 - accuracy: 0.6386\n",
            "Epoch 26/150\n",
            "44/44 [==============================] - 0s 2ms/step - loss: 0.6386 - accuracy: 0.6455\n",
            "Epoch 27/150\n",
            "44/44 [==============================] - 0s 3ms/step - loss: 0.6385 - accuracy: 0.6432\n",
            "Epoch 28/150\n",
            "44/44 [==============================] - 0s 2ms/step - loss: 0.6392 - accuracy: 0.6295\n",
            "Epoch 29/150\n",
            "44/44 [==============================] - 0s 2ms/step - loss: 0.6364 - accuracy: 0.6341\n",
            "Epoch 30/150\n",
            "44/44 [==============================] - 0s 3ms/step - loss: 0.6391 - accuracy: 0.6318\n",
            "Epoch 31/150\n",
            "44/44 [==============================] - 0s 2ms/step - loss: 0.6403 - accuracy: 0.6295\n",
            "Epoch 32/150\n",
            "44/44 [==============================] - 0s 2ms/step - loss: 0.6390 - accuracy: 0.6364\n",
            "Epoch 33/150\n",
            "44/44 [==============================] - 0s 2ms/step - loss: 0.6388 - accuracy: 0.6341\n",
            "Epoch 34/150\n",
            "44/44 [==============================] - 0s 2ms/step - loss: 0.6384 - accuracy: 0.6341\n",
            "Epoch 35/150\n",
            "44/44 [==============================] - 0s 2ms/step - loss: 0.6384 - accuracy: 0.6318\n",
            "Epoch 36/150\n",
            "44/44 [==============================] - 0s 2ms/step - loss: 0.6358 - accuracy: 0.6318\n",
            "Epoch 37/150\n",
            "44/44 [==============================] - 0s 2ms/step - loss: 0.6356 - accuracy: 0.6364\n",
            "Epoch 38/150\n",
            "44/44 [==============================] - 0s 2ms/step - loss: 0.6358 - accuracy: 0.6364\n",
            "Epoch 39/150\n",
            "44/44 [==============================] - 0s 2ms/step - loss: 0.6349 - accuracy: 0.6295\n",
            "Epoch 40/150\n",
            "44/44 [==============================] - 0s 2ms/step - loss: 0.6406 - accuracy: 0.6386\n",
            "Epoch 41/150\n",
            "44/44 [==============================] - 0s 2ms/step - loss: 0.6371 - accuracy: 0.6318\n",
            "Epoch 42/150\n",
            "44/44 [==============================] - 0s 2ms/step - loss: 0.6356 - accuracy: 0.6341\n",
            "Epoch 43/150\n",
            "44/44 [==============================] - 0s 2ms/step - loss: 0.6376 - accuracy: 0.6295\n",
            "Epoch 44/150\n",
            "44/44 [==============================] - 0s 2ms/step - loss: 0.6397 - accuracy: 0.6318\n",
            "Epoch 45/150\n",
            "44/44 [==============================] - 0s 2ms/step - loss: 0.6359 - accuracy: 0.6409\n",
            "Epoch 46/150\n",
            "44/44 [==============================] - 0s 2ms/step - loss: 0.6363 - accuracy: 0.6341\n",
            "Epoch 47/150\n",
            "44/44 [==============================] - 0s 2ms/step - loss: 0.6350 - accuracy: 0.6455\n",
            "Epoch 48/150\n",
            "44/44 [==============================] - 0s 2ms/step - loss: 0.6367 - accuracy: 0.6250\n",
            "Epoch 49/150\n",
            "44/44 [==============================] - 0s 2ms/step - loss: 0.6360 - accuracy: 0.6318\n",
            "Epoch 50/150\n",
            "44/44 [==============================] - 0s 3ms/step - loss: 0.6363 - accuracy: 0.6159\n",
            "Epoch 51/150\n",
            "44/44 [==============================] - 0s 2ms/step - loss: 0.6354 - accuracy: 0.6341\n",
            "Epoch 52/150\n",
            "44/44 [==============================] - 0s 2ms/step - loss: 0.6357 - accuracy: 0.6318\n",
            "Epoch 53/150\n",
            "44/44 [==============================] - 0s 2ms/step - loss: 0.6355 - accuracy: 0.6386\n",
            "Epoch 54/150\n",
            "44/44 [==============================] - 0s 2ms/step - loss: 0.6377 - accuracy: 0.6227\n",
            "Epoch 55/150\n",
            "44/44 [==============================] - 0s 2ms/step - loss: 0.6372 - accuracy: 0.6295\n",
            "Epoch 56/150\n",
            "44/44 [==============================] - 0s 2ms/step - loss: 0.6368 - accuracy: 0.6295\n",
            "Epoch 57/150\n",
            "44/44 [==============================] - 0s 2ms/step - loss: 0.6354 - accuracy: 0.6455\n",
            "Epoch 58/150\n",
            "44/44 [==============================] - 0s 2ms/step - loss: 0.6347 - accuracy: 0.6432\n",
            "Epoch 59/150\n",
            "44/44 [==============================] - 0s 3ms/step - loss: 0.6355 - accuracy: 0.6386\n",
            "Epoch 60/150\n",
            "44/44 [==============================] - 0s 2ms/step - loss: 0.6347 - accuracy: 0.6386\n",
            "Epoch 61/150\n",
            "44/44 [==============================] - 0s 2ms/step - loss: 0.6356 - accuracy: 0.6273\n",
            "Epoch 62/150\n",
            "44/44 [==============================] - 0s 2ms/step - loss: 0.6369 - accuracy: 0.6295\n",
            "Epoch 63/150\n",
            "44/44 [==============================] - 0s 2ms/step - loss: 0.6335 - accuracy: 0.6409\n",
            "Epoch 64/150\n",
            "44/44 [==============================] - 0s 2ms/step - loss: 0.6364 - accuracy: 0.6364\n",
            "Epoch 65/150\n",
            "44/44 [==============================] - 0s 2ms/step - loss: 0.6368 - accuracy: 0.6432\n",
            "Epoch 66/150\n",
            "44/44 [==============================] - 0s 2ms/step - loss: 0.6322 - accuracy: 0.6432\n",
            "Epoch 67/150\n",
            "44/44 [==============================] - 0s 2ms/step - loss: 0.6323 - accuracy: 0.6386\n",
            "Epoch 68/150\n",
            "44/44 [==============================] - 0s 2ms/step - loss: 0.6324 - accuracy: 0.6409\n",
            "Epoch 69/150\n",
            "44/44 [==============================] - 0s 2ms/step - loss: 0.6348 - accuracy: 0.6364\n",
            "Epoch 70/150\n",
            "44/44 [==============================] - 0s 2ms/step - loss: 0.6350 - accuracy: 0.6364\n",
            "Epoch 71/150\n",
            "44/44 [==============================] - 0s 2ms/step - loss: 0.6352 - accuracy: 0.6318\n",
            "Epoch 72/150\n",
            "44/44 [==============================] - 0s 2ms/step - loss: 0.6360 - accuracy: 0.6295\n",
            "Epoch 73/150\n",
            "44/44 [==============================] - 0s 2ms/step - loss: 0.6328 - accuracy: 0.6250\n",
            "Epoch 74/150\n",
            "44/44 [==============================] - 0s 2ms/step - loss: 0.6341 - accuracy: 0.6273\n",
            "Epoch 75/150\n",
            "44/44 [==============================] - 0s 2ms/step - loss: 0.6331 - accuracy: 0.6318\n",
            "Epoch 76/150\n",
            "44/44 [==============================] - 0s 2ms/step - loss: 0.6329 - accuracy: 0.6318\n",
            "Epoch 77/150\n",
            "44/44 [==============================] - 0s 2ms/step - loss: 0.6334 - accuracy: 0.6409\n",
            "Epoch 78/150\n",
            "44/44 [==============================] - 0s 2ms/step - loss: 0.6320 - accuracy: 0.6432\n",
            "Epoch 79/150\n",
            "44/44 [==============================] - 0s 2ms/step - loss: 0.6312 - accuracy: 0.6409\n",
            "Epoch 80/150\n",
            "44/44 [==============================] - 0s 2ms/step - loss: 0.6328 - accuracy: 0.6409\n",
            "Epoch 81/150\n",
            "44/44 [==============================] - 0s 2ms/step - loss: 0.6347 - accuracy: 0.6364\n",
            "Epoch 82/150\n",
            "44/44 [==============================] - 0s 2ms/step - loss: 0.6321 - accuracy: 0.6273\n",
            "Epoch 83/150\n",
            "44/44 [==============================] - 0s 2ms/step - loss: 0.6312 - accuracy: 0.6364\n",
            "Epoch 84/150\n",
            "44/44 [==============================] - 0s 2ms/step - loss: 0.6340 - accuracy: 0.6432\n",
            "Epoch 85/150\n",
            "44/44 [==============================] - 0s 2ms/step - loss: 0.6317 - accuracy: 0.6477\n",
            "Epoch 86/150\n",
            "44/44 [==============================] - 0s 2ms/step - loss: 0.6320 - accuracy: 0.6318\n",
            "Epoch 87/150\n",
            "44/44 [==============================] - 0s 2ms/step - loss: 0.6374 - accuracy: 0.6364\n",
            "Epoch 88/150\n",
            "44/44 [==============================] - 0s 2ms/step - loss: 0.6341 - accuracy: 0.6341\n",
            "Epoch 89/150\n",
            "44/44 [==============================] - 0s 2ms/step - loss: 0.6315 - accuracy: 0.6386\n",
            "Epoch 90/150\n",
            "44/44 [==============================] - 0s 2ms/step - loss: 0.6309 - accuracy: 0.6295\n",
            "Epoch 91/150\n",
            "44/44 [==============================] - 0s 2ms/step - loss: 0.6304 - accuracy: 0.6432\n",
            "Epoch 92/150\n",
            "44/44 [==============================] - 0s 2ms/step - loss: 0.6313 - accuracy: 0.6364\n",
            "Epoch 93/150\n",
            "44/44 [==============================] - 0s 2ms/step - loss: 0.6310 - accuracy: 0.6409\n",
            "Epoch 94/150\n",
            "44/44 [==============================] - 0s 2ms/step - loss: 0.6292 - accuracy: 0.6409\n",
            "Epoch 95/150\n",
            "44/44 [==============================] - 0s 2ms/step - loss: 0.6286 - accuracy: 0.6409\n",
            "Epoch 96/150\n",
            "44/44 [==============================] - 0s 2ms/step - loss: 0.6330 - accuracy: 0.6205\n",
            "Epoch 97/150\n",
            "44/44 [==============================] - 0s 2ms/step - loss: 0.6278 - accuracy: 0.6341\n",
            "Epoch 98/150\n",
            "44/44 [==============================] - 0s 2ms/step - loss: 0.6344 - accuracy: 0.6295\n",
            "Epoch 99/150\n",
            "44/44 [==============================] - 0s 3ms/step - loss: 0.6369 - accuracy: 0.6318\n",
            "Epoch 100/150\n",
            "44/44 [==============================] - 0s 2ms/step - loss: 0.6347 - accuracy: 0.6159\n",
            "Epoch 101/150\n",
            "44/44 [==============================] - 0s 2ms/step - loss: 0.6287 - accuracy: 0.6432\n",
            "Epoch 102/150\n",
            "44/44 [==============================] - 0s 2ms/step - loss: 0.6333 - accuracy: 0.6295\n",
            "Epoch 103/150\n",
            "44/44 [==============================] - 0s 3ms/step - loss: 0.6295 - accuracy: 0.6364\n",
            "Epoch 104/150\n",
            "44/44 [==============================] - 0s 5ms/step - loss: 0.6303 - accuracy: 0.6182\n",
            "Epoch 105/150\n",
            "44/44 [==============================] - 0s 7ms/step - loss: 0.6294 - accuracy: 0.6386\n",
            "Epoch 106/150\n",
            "44/44 [==============================] - 0s 6ms/step - loss: 0.6260 - accuracy: 0.6341\n",
            "Epoch 107/150\n",
            "44/44 [==============================] - 0s 2ms/step - loss: 0.6248 - accuracy: 0.6364\n",
            "Epoch 108/150\n",
            "44/44 [==============================] - 0s 2ms/step - loss: 0.6234 - accuracy: 0.6409\n",
            "Epoch 109/150\n",
            "44/44 [==============================] - 0s 2ms/step - loss: 0.6229 - accuracy: 0.6386\n",
            "Epoch 110/150\n",
            "44/44 [==============================] - 0s 2ms/step - loss: 0.6240 - accuracy: 0.6386\n",
            "Epoch 111/150\n",
            "44/44 [==============================] - 0s 2ms/step - loss: 0.6354 - accuracy: 0.6409\n",
            "Epoch 112/150\n",
            "44/44 [==============================] - 0s 2ms/step - loss: 0.6216 - accuracy: 0.6273\n",
            "Epoch 113/150\n",
            "44/44 [==============================] - 0s 3ms/step - loss: 0.6238 - accuracy: 0.6409\n",
            "Epoch 114/150\n",
            "44/44 [==============================] - 0s 3ms/step - loss: 0.6252 - accuracy: 0.6477\n",
            "Epoch 115/150\n",
            "44/44 [==============================] - 0s 2ms/step - loss: 0.6306 - accuracy: 0.6364\n",
            "Epoch 116/150\n",
            "44/44 [==============================] - 0s 3ms/step - loss: 0.6291 - accuracy: 0.6386\n",
            "Epoch 117/150\n",
            "44/44 [==============================] - 0s 3ms/step - loss: 0.6252 - accuracy: 0.6432\n",
            "Epoch 118/150\n",
            "44/44 [==============================] - 0s 3ms/step - loss: 0.6218 - accuracy: 0.6318\n",
            "Epoch 119/150\n",
            "44/44 [==============================] - 0s 3ms/step - loss: 0.6201 - accuracy: 0.6364\n",
            "Epoch 120/150\n",
            "44/44 [==============================] - 0s 2ms/step - loss: 0.6178 - accuracy: 0.6409\n",
            "Epoch 121/150\n",
            "44/44 [==============================] - 0s 3ms/step - loss: 0.6291 - accuracy: 0.6409\n",
            "Epoch 122/150\n",
            "44/44 [==============================] - 0s 3ms/step - loss: 0.6293 - accuracy: 0.6341\n",
            "Epoch 123/150\n",
            "44/44 [==============================] - 0s 2ms/step - loss: 0.6164 - accuracy: 0.6273\n",
            "Epoch 124/150\n",
            "44/44 [==============================] - 0s 2ms/step - loss: 0.6154 - accuracy: 0.6295\n",
            "Epoch 125/150\n",
            "44/44 [==============================] - 0s 2ms/step - loss: 0.6244 - accuracy: 0.6409\n",
            "Epoch 126/150\n",
            "44/44 [==============================] - 0s 2ms/step - loss: 0.6321 - accuracy: 0.6500\n",
            "Epoch 127/150\n",
            "44/44 [==============================] - 0s 2ms/step - loss: 0.6218 - accuracy: 0.6364\n",
            "Epoch 128/150\n",
            "44/44 [==============================] - 0s 2ms/step - loss: 0.6156 - accuracy: 0.6409\n",
            "Epoch 129/150\n",
            "44/44 [==============================] - 0s 2ms/step - loss: 0.6270 - accuracy: 0.6455\n",
            "Epoch 130/150\n",
            "44/44 [==============================] - 0s 2ms/step - loss: 0.6154 - accuracy: 0.6318\n",
            "Epoch 131/150\n",
            "44/44 [==============================] - 0s 2ms/step - loss: 0.6168 - accuracy: 0.6386\n",
            "Epoch 132/150\n",
            "44/44 [==============================] - 0s 2ms/step - loss: 0.6157 - accuracy: 0.6318\n",
            "Epoch 133/150\n",
            "44/44 [==============================] - 0s 2ms/step - loss: 0.6234 - accuracy: 0.6364\n",
            "Epoch 134/150\n",
            "44/44 [==============================] - 0s 2ms/step - loss: 0.6257 - accuracy: 0.6364\n",
            "Epoch 135/150\n",
            "44/44 [==============================] - 0s 2ms/step - loss: 0.6089 - accuracy: 0.6341\n",
            "Epoch 136/150\n",
            "44/44 [==============================] - 0s 2ms/step - loss: 0.6105 - accuracy: 0.6364\n",
            "Epoch 137/150\n",
            "44/44 [==============================] - 0s 2ms/step - loss: 0.6155 - accuracy: 0.6386\n",
            "Epoch 138/150\n",
            "44/44 [==============================] - 0s 2ms/step - loss: 0.6242 - accuracy: 0.6205\n",
            "Epoch 139/150\n",
            "44/44 [==============================] - 0s 2ms/step - loss: 0.6182 - accuracy: 0.6250\n",
            "Epoch 140/150\n",
            "44/44 [==============================] - 0s 3ms/step - loss: 0.6202 - accuracy: 0.6318\n",
            "Epoch 141/150\n",
            "44/44 [==============================] - 0s 3ms/step - loss: 0.6135 - accuracy: 0.6318\n",
            "Epoch 142/150\n",
            "44/44 [==============================] - 0s 2ms/step - loss: 0.6145 - accuracy: 0.6409\n",
            "Epoch 143/150\n",
            "44/44 [==============================] - 0s 2ms/step - loss: 0.6062 - accuracy: 0.6318\n",
            "Epoch 144/150\n",
            "44/44 [==============================] - 0s 2ms/step - loss: 0.6089 - accuracy: 0.6432\n",
            "Epoch 145/150\n",
            "44/44 [==============================] - 0s 2ms/step - loss: 0.6087 - accuracy: 0.6409\n",
            "Epoch 146/150\n",
            "44/44 [==============================] - 0s 2ms/step - loss: 0.6135 - accuracy: 0.6409\n",
            "Epoch 147/150\n",
            "44/44 [==============================] - 0s 2ms/step - loss: 0.6083 - accuracy: 0.6295\n",
            "Epoch 148/150\n",
            "44/44 [==============================] - 0s 2ms/step - loss: 0.6086 - accuracy: 0.6364\n",
            "Epoch 149/150\n",
            "44/44 [==============================] - 0s 2ms/step - loss: 0.6132 - accuracy: 0.6386\n",
            "Epoch 150/150\n",
            "44/44 [==============================] - 0s 2ms/step - loss: 0.6104 - accuracy: 0.6614\n",
            "4/4 [==============================] - 0s 3ms/step\n",
            "accuracy of the model:  0.6545454545454545\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "from keras.models import Sequential\n",
        "from keras.layers import Dense\n",
        "\n",
        "model=Sequential()\n",
        "\n",
        "#Input layer\n",
        "model.add(Dense(32,input_dim=6,kernel_initializer='uniform',activation='relu'))\n",
        "\n",
        "#Two hidden layers\n",
        "model.add(Dense(16,kernel_initializer='uniform',activation='relu'))\n",
        "model.add(Dense(16,kernel_initializer='uniform',activation='relu'))\n",
        "model.add(Dense(8,kernel_initializer='uniform',activation='relu'))\n",
        "\n",
        "#Output layer\n",
        "model.add(Dense(1,kernel_initializer='uniform',activation='sigmoid'))\n",
        "\n",
        "model.compile(loss='binary_crossentropy', optimizer='adam', metrics=['accuracy']) \n",
        "\n",
        "model.fit(X_train, Y_train, epochs=150, batch_size=16) \n",
        "\n",
        "y_pred=model.predict(X_test)\n",
        "\n",
        "\n",
        "from sklearn.metrics import accuracy_score\n",
        "\n",
        "ac = accuracy_score(Y_test, y_pred.round())\n",
        "print('accuracy of the model: ', ac)\n"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "outputId": "e04e1589-6aa6-44ee-8ad9-9a6b5c704393",
        "id": "GC6eSV9nFayB"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Epoch 1/150\n",
            "28/28 [==============================] - 1s 2ms/step - loss: 0.6922 - accuracy: 0.5591\n",
            "Epoch 2/150\n",
            "28/28 [==============================] - 0s 2ms/step - loss: 0.6876 - accuracy: 0.5818\n",
            "Epoch 3/150\n",
            "28/28 [==============================] - 0s 2ms/step - loss: 0.6725 - accuracy: 0.6023\n",
            "Epoch 4/150\n",
            "28/28 [==============================] - 0s 3ms/step - loss: 0.6492 - accuracy: 0.5977\n",
            "Epoch 5/150\n",
            "28/28 [==============================] - 0s 3ms/step - loss: 0.6497 - accuracy: 0.6273\n",
            "Epoch 6/150\n",
            "28/28 [==============================] - 0s 2ms/step - loss: 0.6450 - accuracy: 0.6000\n",
            "Epoch 7/150\n",
            "28/28 [==============================] - 0s 2ms/step - loss: 0.6443 - accuracy: 0.6023\n",
            "Epoch 8/150\n",
            "28/28 [==============================] - 0s 2ms/step - loss: 0.6449 - accuracy: 0.6273\n",
            "Epoch 9/150\n",
            "28/28 [==============================] - 0s 3ms/step - loss: 0.6412 - accuracy: 0.6227\n",
            "Epoch 10/150\n",
            "28/28 [==============================] - 0s 2ms/step - loss: 0.6378 - accuracy: 0.6455\n",
            "Epoch 11/150\n",
            "28/28 [==============================] - 0s 2ms/step - loss: 0.6395 - accuracy: 0.6295\n",
            "Epoch 12/150\n",
            "28/28 [==============================] - 0s 2ms/step - loss: 0.6387 - accuracy: 0.6318\n",
            "Epoch 13/150\n",
            "28/28 [==============================] - 0s 2ms/step - loss: 0.6410 - accuracy: 0.6250\n",
            "Epoch 14/150\n",
            "28/28 [==============================] - 0s 2ms/step - loss: 0.6389 - accuracy: 0.6182\n",
            "Epoch 15/150\n",
            "28/28 [==============================] - 0s 3ms/step - loss: 0.6391 - accuracy: 0.6341\n",
            "Epoch 16/150\n",
            "28/28 [==============================] - 0s 2ms/step - loss: 0.6387 - accuracy: 0.6273\n",
            "Epoch 17/150\n",
            "28/28 [==============================] - 0s 2ms/step - loss: 0.6442 - accuracy: 0.6318\n",
            "Epoch 18/150\n",
            "28/28 [==============================] - 0s 3ms/step - loss: 0.6424 - accuracy: 0.6341\n",
            "Epoch 19/150\n",
            "28/28 [==============================] - 0s 2ms/step - loss: 0.6381 - accuracy: 0.6364\n",
            "Epoch 20/150\n",
            "28/28 [==============================] - 0s 3ms/step - loss: 0.6387 - accuracy: 0.6318\n",
            "Epoch 21/150\n",
            "28/28 [==============================] - 0s 2ms/step - loss: 0.6376 - accuracy: 0.6455\n",
            "Epoch 22/150\n",
            "28/28 [==============================] - 0s 2ms/step - loss: 0.6372 - accuracy: 0.6341\n",
            "Epoch 23/150\n",
            "28/28 [==============================] - 0s 3ms/step - loss: 0.6409 - accuracy: 0.6318\n",
            "Epoch 24/150\n",
            "28/28 [==============================] - 0s 2ms/step - loss: 0.6362 - accuracy: 0.6295\n",
            "Epoch 25/150\n",
            "28/28 [==============================] - 0s 2ms/step - loss: 0.6384 - accuracy: 0.6364\n",
            "Epoch 26/150\n",
            "28/28 [==============================] - 0s 2ms/step - loss: 0.6361 - accuracy: 0.6341\n",
            "Epoch 27/150\n",
            "28/28 [==============================] - 0s 3ms/step - loss: 0.6381 - accuracy: 0.6273\n",
            "Epoch 28/150\n",
            "28/28 [==============================] - 0s 3ms/step - loss: 0.6407 - accuracy: 0.6409\n",
            "Epoch 29/150\n",
            "28/28 [==============================] - 0s 3ms/step - loss: 0.6392 - accuracy: 0.6341\n",
            "Epoch 30/150\n",
            "28/28 [==============================] - 0s 3ms/step - loss: 0.6381 - accuracy: 0.6227\n",
            "Epoch 31/150\n",
            "28/28 [==============================] - 0s 3ms/step - loss: 0.6362 - accuracy: 0.6364\n",
            "Epoch 32/150\n",
            "28/28 [==============================] - 0s 3ms/step - loss: 0.6374 - accuracy: 0.6227\n",
            "Epoch 33/150\n",
            "28/28 [==============================] - 0s 3ms/step - loss: 0.6403 - accuracy: 0.6295\n",
            "Epoch 34/150\n",
            "28/28 [==============================] - 0s 2ms/step - loss: 0.6406 - accuracy: 0.6273\n",
            "Epoch 35/150\n",
            "28/28 [==============================] - 0s 3ms/step - loss: 0.6383 - accuracy: 0.6364\n",
            "Epoch 36/150\n",
            "28/28 [==============================] - 0s 3ms/step - loss: 0.6347 - accuracy: 0.6318\n",
            "Epoch 37/150\n",
            "28/28 [==============================] - 0s 2ms/step - loss: 0.6361 - accuracy: 0.6341\n",
            "Epoch 38/150\n",
            "28/28 [==============================] - 0s 3ms/step - loss: 0.6378 - accuracy: 0.6295\n",
            "Epoch 39/150\n",
            "28/28 [==============================] - 0s 3ms/step - loss: 0.6349 - accuracy: 0.6455\n",
            "Epoch 40/150\n",
            "28/28 [==============================] - 0s 3ms/step - loss: 0.6378 - accuracy: 0.6295\n",
            "Epoch 41/150\n",
            "28/28 [==============================] - 0s 2ms/step - loss: 0.6400 - accuracy: 0.6386\n",
            "Epoch 42/150\n",
            "28/28 [==============================] - 0s 2ms/step - loss: 0.6388 - accuracy: 0.6386\n",
            "Epoch 43/150\n",
            "28/28 [==============================] - 0s 3ms/step - loss: 0.6366 - accuracy: 0.6295\n",
            "Epoch 44/150\n",
            "28/28 [==============================] - 0s 2ms/step - loss: 0.6366 - accuracy: 0.6409\n",
            "Epoch 45/150\n",
            "28/28 [==============================] - 0s 2ms/step - loss: 0.6347 - accuracy: 0.6273\n",
            "Epoch 46/150\n",
            "28/28 [==============================] - 0s 2ms/step - loss: 0.6357 - accuracy: 0.6364\n",
            "Epoch 47/150\n",
            "28/28 [==============================] - 0s 3ms/step - loss: 0.6382 - accuracy: 0.6205\n",
            "Epoch 48/150\n",
            "28/28 [==============================] - 0s 2ms/step - loss: 0.6354 - accuracy: 0.6273\n",
            "Epoch 49/150\n",
            "28/28 [==============================] - 0s 2ms/step - loss: 0.6327 - accuracy: 0.6318\n",
            "Epoch 50/150\n",
            "28/28 [==============================] - 0s 3ms/step - loss: 0.6362 - accuracy: 0.6386\n",
            "Epoch 51/150\n",
            "28/28 [==============================] - 0s 2ms/step - loss: 0.6342 - accuracy: 0.6500\n",
            "Epoch 52/150\n",
            "28/28 [==============================] - 0s 2ms/step - loss: 0.6347 - accuracy: 0.6386\n",
            "Epoch 53/150\n",
            "28/28 [==============================] - 0s 2ms/step - loss: 0.6343 - accuracy: 0.6341\n",
            "Epoch 54/150\n",
            "28/28 [==============================] - 0s 3ms/step - loss: 0.6348 - accuracy: 0.6295\n",
            "Epoch 55/150\n",
            "28/28 [==============================] - 0s 2ms/step - loss: 0.6353 - accuracy: 0.6273\n",
            "Epoch 56/150\n",
            "28/28 [==============================] - 0s 2ms/step - loss: 0.6362 - accuracy: 0.6364\n",
            "Epoch 57/150\n",
            "28/28 [==============================] - 0s 3ms/step - loss: 0.6329 - accuracy: 0.6364\n",
            "Epoch 58/150\n",
            "28/28 [==============================] - 0s 2ms/step - loss: 0.6354 - accuracy: 0.6295\n",
            "Epoch 59/150\n",
            "28/28 [==============================] - 0s 2ms/step - loss: 0.6331 - accuracy: 0.6182\n",
            "Epoch 60/150\n",
            "28/28 [==============================] - 0s 2ms/step - loss: 0.6313 - accuracy: 0.6295\n",
            "Epoch 61/150\n",
            "28/28 [==============================] - 0s 3ms/step - loss: 0.6321 - accuracy: 0.6273\n",
            "Epoch 62/150\n",
            "28/28 [==============================] - 0s 3ms/step - loss: 0.6326 - accuracy: 0.6386\n",
            "Epoch 63/150\n",
            "28/28 [==============================] - 0s 2ms/step - loss: 0.6346 - accuracy: 0.6318\n",
            "Epoch 64/150\n",
            "28/28 [==============================] - 0s 2ms/step - loss: 0.6312 - accuracy: 0.6341\n",
            "Epoch 65/150\n",
            "28/28 [==============================] - 0s 2ms/step - loss: 0.6312 - accuracy: 0.6318\n",
            "Epoch 66/150\n",
            "28/28 [==============================] - 0s 2ms/step - loss: 0.6331 - accuracy: 0.6386\n",
            "Epoch 67/150\n",
            "28/28 [==============================] - 0s 2ms/step - loss: 0.6308 - accuracy: 0.6273\n",
            "Epoch 68/150\n",
            "28/28 [==============================] - 0s 2ms/step - loss: 0.6308 - accuracy: 0.6295\n",
            "Epoch 69/150\n",
            "28/28 [==============================] - 0s 3ms/step - loss: 0.6303 - accuracy: 0.6364\n",
            "Epoch 70/150\n",
            "28/28 [==============================] - 0s 2ms/step - loss: 0.6299 - accuracy: 0.6295\n",
            "Epoch 71/150\n",
            "28/28 [==============================] - 0s 2ms/step - loss: 0.6324 - accuracy: 0.6205\n",
            "Epoch 72/150\n",
            "28/28 [==============================] - 0s 3ms/step - loss: 0.6302 - accuracy: 0.6273\n",
            "Epoch 73/150\n",
            "28/28 [==============================] - 0s 2ms/step - loss: 0.6308 - accuracy: 0.6318\n",
            "Epoch 74/150\n",
            "28/28 [==============================] - 0s 2ms/step - loss: 0.6341 - accuracy: 0.6318\n",
            "Epoch 75/150\n",
            "28/28 [==============================] - 0s 2ms/step - loss: 0.6416 - accuracy: 0.6318\n",
            "Epoch 76/150\n",
            "28/28 [==============================] - 0s 3ms/step - loss: 0.6315 - accuracy: 0.6386\n",
            "Epoch 77/150\n",
            "28/28 [==============================] - 0s 3ms/step - loss: 0.6313 - accuracy: 0.6318\n",
            "Epoch 78/150\n",
            "28/28 [==============================] - 0s 2ms/step - loss: 0.6311 - accuracy: 0.6386\n",
            "Epoch 79/150\n",
            "28/28 [==============================] - 0s 2ms/step - loss: 0.6300 - accuracy: 0.6250\n",
            "Epoch 80/150\n",
            "28/28 [==============================] - 0s 3ms/step - loss: 0.6274 - accuracy: 0.6364\n",
            "Epoch 81/150\n",
            "28/28 [==============================] - 0s 2ms/step - loss: 0.6305 - accuracy: 0.6568\n",
            "Epoch 82/150\n",
            "28/28 [==============================] - 0s 2ms/step - loss: 0.6335 - accuracy: 0.6273\n",
            "Epoch 83/150\n",
            "28/28 [==============================] - 0s 3ms/step - loss: 0.6311 - accuracy: 0.6295\n",
            "Epoch 84/150\n",
            "28/28 [==============================] - 0s 2ms/step - loss: 0.6359 - accuracy: 0.6432\n",
            "Epoch 85/150\n",
            "28/28 [==============================] - 0s 2ms/step - loss: 0.6355 - accuracy: 0.6227\n",
            "Epoch 86/150\n",
            "28/28 [==============================] - 0s 2ms/step - loss: 0.6288 - accuracy: 0.6455\n",
            "Epoch 87/150\n",
            "28/28 [==============================] - 0s 2ms/step - loss: 0.6280 - accuracy: 0.6295\n",
            "Epoch 88/150\n",
            "28/28 [==============================] - 0s 2ms/step - loss: 0.6289 - accuracy: 0.6364\n",
            "Epoch 89/150\n",
            "28/28 [==============================] - 0s 2ms/step - loss: 0.6274 - accuracy: 0.6432\n",
            "Epoch 90/150\n",
            "28/28 [==============================] - 0s 2ms/step - loss: 0.6266 - accuracy: 0.6318\n",
            "Epoch 91/150\n",
            "28/28 [==============================] - 0s 2ms/step - loss: 0.6333 - accuracy: 0.6409\n",
            "Epoch 92/150\n",
            "28/28 [==============================] - 0s 2ms/step - loss: 0.6256 - accuracy: 0.6341\n",
            "Epoch 93/150\n",
            "28/28 [==============================] - 0s 2ms/step - loss: 0.6284 - accuracy: 0.6273\n",
            "Epoch 94/150\n",
            "28/28 [==============================] - 0s 2ms/step - loss: 0.6264 - accuracy: 0.6295\n",
            "Epoch 95/150\n",
            "28/28 [==============================] - 0s 3ms/step - loss: 0.6252 - accuracy: 0.6318\n",
            "Epoch 96/150\n",
            "28/28 [==============================] - 0s 2ms/step - loss: 0.6366 - accuracy: 0.6455\n",
            "Epoch 97/150\n",
            "28/28 [==============================] - 0s 2ms/step - loss: 0.6312 - accuracy: 0.6409\n",
            "Epoch 98/150\n",
            "28/28 [==============================] - 0s 2ms/step - loss: 0.6228 - accuracy: 0.6227\n",
            "Epoch 99/150\n",
            "28/28 [==============================] - 0s 2ms/step - loss: 0.6260 - accuracy: 0.6227\n",
            "Epoch 100/150\n",
            "28/28 [==============================] - 0s 2ms/step - loss: 0.6307 - accuracy: 0.6364\n",
            "Epoch 101/150\n",
            "28/28 [==============================] - 0s 2ms/step - loss: 0.6265 - accuracy: 0.6318\n",
            "Epoch 102/150\n",
            "28/28 [==============================] - 0s 3ms/step - loss: 0.6264 - accuracy: 0.6432\n",
            "Epoch 103/150\n",
            "28/28 [==============================] - 0s 2ms/step - loss: 0.6260 - accuracy: 0.6341\n",
            "Epoch 104/150\n",
            "28/28 [==============================] - 0s 2ms/step - loss: 0.6231 - accuracy: 0.6318\n",
            "Epoch 105/150\n",
            "28/28 [==============================] - 0s 3ms/step - loss: 0.6252 - accuracy: 0.6455\n",
            "Epoch 106/150\n",
            "28/28 [==============================] - 0s 3ms/step - loss: 0.6199 - accuracy: 0.6477\n",
            "Epoch 107/150\n",
            "28/28 [==============================] - 0s 2ms/step - loss: 0.6288 - accuracy: 0.6500\n",
            "Epoch 108/150\n",
            "28/28 [==============================] - 0s 2ms/step - loss: 0.6220 - accuracy: 0.6455\n",
            "Epoch 109/150\n",
            "28/28 [==============================] - 0s 2ms/step - loss: 0.6233 - accuracy: 0.6341\n",
            "Epoch 110/150\n",
            "28/28 [==============================] - 0s 3ms/step - loss: 0.6208 - accuracy: 0.6227\n",
            "Epoch 111/150\n",
            "28/28 [==============================] - 0s 2ms/step - loss: 0.6193 - accuracy: 0.6273\n",
            "Epoch 112/150\n",
            "28/28 [==============================] - 0s 2ms/step - loss: 0.6172 - accuracy: 0.6295\n",
            "Epoch 113/150\n",
            "28/28 [==============================] - 0s 3ms/step - loss: 0.6187 - accuracy: 0.6341\n",
            "Epoch 114/150\n",
            "28/28 [==============================] - 0s 2ms/step - loss: 0.6167 - accuracy: 0.6500\n",
            "Epoch 115/150\n",
            "28/28 [==============================] - 0s 3ms/step - loss: 0.6206 - accuracy: 0.6409\n",
            "Epoch 116/150\n",
            "28/28 [==============================] - 0s 3ms/step - loss: 0.6196 - accuracy: 0.6341\n",
            "Epoch 117/150\n",
            "28/28 [==============================] - 0s 2ms/step - loss: 0.6211 - accuracy: 0.6364\n",
            "Epoch 118/150\n",
            "28/28 [==============================] - 0s 2ms/step - loss: 0.6210 - accuracy: 0.6227\n",
            "Epoch 119/150\n",
            "28/28 [==============================] - 0s 2ms/step - loss: 0.6173 - accuracy: 0.6318\n",
            "Epoch 120/150\n",
            "28/28 [==============================] - 0s 2ms/step - loss: 0.6177 - accuracy: 0.6364\n",
            "Epoch 121/150\n",
            "28/28 [==============================] - 0s 2ms/step - loss: 0.6188 - accuracy: 0.6386\n",
            "Epoch 122/150\n",
            "28/28 [==============================] - 0s 2ms/step - loss: 0.6115 - accuracy: 0.6318\n",
            "Epoch 123/150\n",
            "28/28 [==============================] - 0s 2ms/step - loss: 0.6184 - accuracy: 0.6341\n",
            "Epoch 124/150\n",
            "28/28 [==============================] - 0s 2ms/step - loss: 0.6145 - accuracy: 0.6477\n",
            "Epoch 125/150\n",
            "28/28 [==============================] - 0s 2ms/step - loss: 0.6183 - accuracy: 0.6432\n",
            "Epoch 126/150\n",
            "28/28 [==============================] - 0s 2ms/step - loss: 0.6162 - accuracy: 0.6341\n",
            "Epoch 127/150\n",
            "28/28 [==============================] - 0s 3ms/step - loss: 0.6146 - accuracy: 0.6341\n",
            "Epoch 128/150\n",
            "28/28 [==============================] - 0s 3ms/step - loss: 0.6258 - accuracy: 0.6477\n",
            "Epoch 129/150\n",
            "28/28 [==============================] - 0s 2ms/step - loss: 0.6236 - accuracy: 0.6341\n",
            "Epoch 130/150\n",
            "28/28 [==============================] - 0s 2ms/step - loss: 0.6126 - accuracy: 0.6295\n",
            "Epoch 131/150\n",
            "28/28 [==============================] - 0s 3ms/step - loss: 0.6157 - accuracy: 0.6273\n",
            "Epoch 132/150\n",
            "28/28 [==============================] - 0s 3ms/step - loss: 0.6197 - accuracy: 0.6364\n",
            "Epoch 133/150\n",
            "28/28 [==============================] - 0s 2ms/step - loss: 0.6158 - accuracy: 0.6364\n",
            "Epoch 134/150\n",
            "28/28 [==============================] - 0s 3ms/step - loss: 0.6194 - accuracy: 0.6432\n",
            "Epoch 135/150\n",
            "28/28 [==============================] - 0s 3ms/step - loss: 0.6144 - accuracy: 0.6409\n",
            "Epoch 136/150\n",
            "28/28 [==============================] - 0s 2ms/step - loss: 0.6140 - accuracy: 0.6409\n",
            "Epoch 137/150\n",
            "28/28 [==============================] - 0s 2ms/step - loss: 0.6131 - accuracy: 0.6386\n",
            "Epoch 138/150\n",
            "28/28 [==============================] - 0s 2ms/step - loss: 0.6096 - accuracy: 0.6477\n",
            "Epoch 139/150\n",
            "28/28 [==============================] - 0s 2ms/step - loss: 0.6046 - accuracy: 0.6318\n",
            "Epoch 140/150\n",
            "28/28 [==============================] - 0s 2ms/step - loss: 0.6072 - accuracy: 0.6318\n",
            "Epoch 141/150\n",
            "28/28 [==============================] - 0s 2ms/step - loss: 0.6113 - accuracy: 0.6295\n",
            "Epoch 142/150\n",
            "28/28 [==============================] - 0s 3ms/step - loss: 0.6038 - accuracy: 0.6455\n",
            "Epoch 143/150\n",
            "28/28 [==============================] - 0s 3ms/step - loss: 0.6079 - accuracy: 0.6500\n",
            "Epoch 144/150\n",
            "28/28 [==============================] - 0s 3ms/step - loss: 0.6323 - accuracy: 0.6250\n",
            "Epoch 145/150\n",
            "28/28 [==============================] - 0s 2ms/step - loss: 0.6379 - accuracy: 0.6386\n",
            "Epoch 146/150\n",
            "28/28 [==============================] - 0s 3ms/step - loss: 0.6285 - accuracy: 0.6409\n",
            "Epoch 147/150\n",
            "28/28 [==============================] - 0s 2ms/step - loss: 0.6237 - accuracy: 0.6432\n",
            "Epoch 148/150\n",
            "28/28 [==============================] - 0s 2ms/step - loss: 0.6194 - accuracy: 0.6432\n",
            "Epoch 149/150\n",
            "28/28 [==============================] - 0s 3ms/step - loss: 0.6081 - accuracy: 0.6295\n",
            "Epoch 150/150\n",
            "28/28 [==============================] - 0s 3ms/step - loss: 0.6088 - accuracy: 0.6341\n",
            "4/4 [==============================] - 0s 3ms/step\n",
            "accuracy of the model:  0.6636363636363637\n"
          ]
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "The results are pretty bad because of the dataset. In order to predict we need more informations and higer dependencies."
      ],
      "metadata": {
        "id": "KsqDW6VnOHSt"
      }
    }
  ]
}