final project/shaqayeqsaffari/Untitled42.ipynb

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      "source": [
        "import pandas as pd\n",
        "import numpy as np\n",
        "from sklearn.model_selection import train_test_split\n",
        "import matplotlib.pyplot as plt\n",
        "import seaborn as sns\n",
        "from itertools import product\n",
        "from sklearn.naive_bayes import GaussianNB\n",
        "from sklearn.metrics import accuracy_score\n",
        "from sklearn.tree import DecisionTreeClassifier\n",
        "from sklearn.tree import DecisionTreeClassifier"
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "covid = pd.read_excel('covid.xlsx');\n",
        "covid"
      ],
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          "height": 488
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              "      <th>#</th>\n",
              "      <th>age</th>\n",
              "      <th>Sleep_problems</th>\n",
              "      <th>Headache</th>\n",
              "      <th>Diarrhea</th>\n",
              "      <th>Abdominal_pain</th>\n",
              "      <th>body_pain</th>\n",
              "      <th>Body_discoloration</th>\n",
              "      <th>Cough</th>\n",
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              "      <th>Fatigue</th>\n",
              "      <th>runny_nose</th>\n",
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              "      <th>Decreased_appetite</th>\n",
              "      <th>Vomit</th>\n",
              "      <th>Nausea</th>\n",
              "      <th>Sneezing</th>\n",
              "      <th>Shortness_of_breath</th>\n",
              "      <th>Loss_of_smell</th>\n",
              "      <th>Loss_of_taste</th>\n",
              "      <th>urticaria</th>\n",
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              "      <td>no</td>\n",
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              "      <td>486</td>\n",
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              "      <td>no</td>\n",
              "      <td>no</td>\n",
              "      <td>no</td>\n",
              "      <td>yes</td>\n",
              "      <td>no</td>\n",
              "      <td>yes</td>\n",
              "      <td>yes</td>\n",
              "      <td>no</td>\n",
              "      <td>yes</td>\n",
              "      <td>yes</td>\n",
              "      <td>no</td>\n",
              "      <td>yes</td>\n",
              "      <td>no</td>\n",
              "      <td>no</td>\n",
              "      <td>no</td>\n",
              "      <td>yes</td>\n",
              "      <td>no</td>\n",
              "      <td>yes</td>\n",
              "      <td>yes</td>\n",
              "      <td>no</td>\n",
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              "    <tr>\n",
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              "      <td>487</td>\n",
              "      <td>27</td>\n",
              "      <td>no</td>\n",
              "      <td>yes</td>\n",
              "      <td>no</td>\n",
              "      <td>no</td>\n",
              "      <td>yes</td>\n",
              "      <td>no</td>\n",
              "      <td>yes</td>\n",
              "      <td>yes</td>\n",
              "      <td>yes</td>\n",
              "      <td>yes</td>\n",
              "      <td>yes</td>\n",
              "      <td>no</td>\n",
              "      <td>yes</td>\n",
              "      <td>yes</td>\n",
              "      <td>no</td>\n",
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              "      <td>yes</td>\n",
              "      <td>no</td>\n",
              "      <td>yes</td>\n",
              "      <td>no</td>\n",
              "      <td>no</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "<p>487 rows × 23 columns</p>\n",
              "</div>\n",
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              "\n",
              "          const docLinkHtml = 'Like what you see? Visit the ' +\n",
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            ],
            "text/plain": [
              "       # age Sleep_problems  ... Loss_of_smell Loss_of_taste urticaria\n",
              "0      1  19            yes  ...            no            no        no\n",
              "1      2  28            yes  ...            no            no        no\n",
              "2      3  40             no  ...            no            no        no\n",
              "3      4  62            yes  ...            no            no        no\n",
              "4      5  23            yes  ...            no            no        no\n",
              "..   ...  ..            ...  ...           ...           ...       ...\n",
              "482  483  26             no  ...            no            no        no\n",
              "483  484  51             no  ...           yes           yes        no\n",
              "484  485  32             no  ...           yes           yes        no\n",
              "485  486  30             no  ...           yes           yes        no\n",
              "486  487  27             no  ...           yes            no        no\n",
              "\n",
              "[487 rows x 23 columns]"
            ]
          },
          "metadata": {},
          "execution_count": 35
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "covid=covid.drop(['#'], axis=1);\n",
        "covid=covid.drop(['age'], axis=1);\n"
      ],
      "metadata": {
        "id": "x1mshWEajFFc"
      },
      "execution_count": 36,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "covid.describe()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 239
        },
        "id": "F7lKuBc5jKbP",
        "outputId": "13ea3fae-238e-4796-86f5-c7a17767bfbe"
      },
      "execution_count": 37,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
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              "      <th></th>\n",
              "      <th>Sleep_problems</th>\n",
              "      <th>Headache</th>\n",
              "      <th>Diarrhea</th>\n",
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              "      <th>Vomit</th>\n",
              "      <th>Nausea</th>\n",
              "      <th>Sneezing</th>\n",
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              "      <th>Loss_of_taste</th>\n",
              "      <th>urticaria</th>\n",
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              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>count</th>\n",
              "      <td>487</td>\n",
              "      <td>486</td>\n",
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              "      <td>487</td>\n",
              "      <td>487</td>\n",
              "      <td>487</td>\n",
              "      <td>487</td>\n",
              "      <td>487</td>\n",
              "      <td>487</td>\n",
              "      <td>487</td>\n",
              "      <td>487</td>\n",
              "      <td>487</td>\n",
              "      <td>487</td>\n",
              "      <td>487</td>\n",
              "      <td>487</td>\n",
              "      <td>487</td>\n",
              "      <td>487</td>\n",
              "      <td>487</td>\n",
              "      <td>487</td>\n",
              "      <td>487</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>unique</th>\n",
              "      <td>2</td>\n",
              "      <td>3</td>\n",
              "      <td>4</td>\n",
              "      <td>3</td>\n",
              "      <td>4</td>\n",
              "      <td>2</td>\n",
              "      <td>3</td>\n",
              "      <td>3</td>\n",
              "      <td>2</td>\n",
              "      <td>4</td>\n",
              "      <td>3</td>\n",
              "      <td>2</td>\n",
              "      <td>2</td>\n",
              "      <td>2</td>\n",
              "      <td>2</td>\n",
              "      <td>2</td>\n",
              "      <td>2</td>\n",
              "      <td>2</td>\n",
              "      <td>2</td>\n",
              "      <td>2</td>\n",
              "      <td>2</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>top</th>\n",
              "      <td>no</td>\n",
              "      <td>no</td>\n",
              "      <td>no</td>\n",
              "      <td>no</td>\n",
              "      <td>no</td>\n",
              "      <td>no</td>\n",
              "      <td>no</td>\n",
              "      <td>yes</td>\n",
              "      <td>no</td>\n",
              "      <td>no</td>\n",
              "      <td>no</td>\n",
              "      <td>no</td>\n",
              "      <td>no</td>\n",
              "      <td>no</td>\n",
              "      <td>no</td>\n",
              "      <td>no</td>\n",
              "      <td>no</td>\n",
              "      <td>no</td>\n",
              "      <td>no</td>\n",
              "      <td>no</td>\n",
              "      <td>no</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>freq</th>\n",
              "      <td>436</td>\n",
              "      <td>275</td>\n",
              "      <td>387</td>\n",
              "      <td>450</td>\n",
              "      <td>255</td>\n",
              "      <td>462</td>\n",
              "      <td>239</td>\n",
              "      <td>282</td>\n",
              "      <td>445</td>\n",
              "      <td>333</td>\n",
              "      <td>276</td>\n",
              "      <td>394</td>\n",
              "      <td>426</td>\n",
              "      <td>380</td>\n",
              "      <td>471</td>\n",
              "      <td>423</td>\n",
              "      <td>449</td>\n",
              "      <td>326</td>\n",
              "      <td>380</td>\n",
              "      <td>425</td>\n",
              "      <td>479</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>\n",
              "      <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-442c2530-d7c7-486a-b6bd-b7829b7fa39b')\"\n",
              "              title=\"Convert this dataframe to an interactive table.\"\n",
              "              style=\"display:none;\">\n",
              "        \n",
              "  <svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\"viewBox=\"0 0 24 24\"\n",
              "       width=\"24px\">\n",
              "    <path d=\"M0 0h24v24H0V0z\" fill=\"none\"/>\n",
              "    <path d=\"M18.56 5.44l.94 2.06.94-2.06 2.06-.94-2.06-.94-.94-2.06-.94 2.06-2.06.94zm-11 1L8.5 8.5l.94-2.06 2.06-.94-2.06-.94L8.5 2.5l-.94 2.06-2.06.94zm10 10l.94 2.06.94-2.06 2.06-.94-2.06-.94-.94-2.06-.94 2.06-2.06.94z\"/><path d=\"M17.41 7.96l-1.37-1.37c-.4-.4-.92-.59-1.43-.59-.52 0-1.04.2-1.43.59L10.3 9.45l-7.72 7.72c-.78.78-.78 2.05 0 2.83L4 21.41c.39.39.9.59 1.41.59.51 0 1.02-.2 1.41-.59l7.78-7.78 2.81-2.81c.8-.78.8-2.07 0-2.86zM5.41 20L4 18.59l7.72-7.72 1.47 1.35L5.41 20z\"/>\n",
              "  </svg>\n",
              "      </button>\n",
              "      \n",
              "  <style>\n",
              "    .colab-df-container {\n",
              "      display:flex;\n",
              "      flex-wrap:wrap;\n",
              "      gap: 12px;\n",
              "    }\n",
              "\n",
              "    .colab-df-convert {\n",
              "      background-color: #E8F0FE;\n",
              "      border: none;\n",
              "      border-radius: 50%;\n",
              "      cursor: pointer;\n",
              "      display: none;\n",
              "      fill: #1967D2;\n",
              "      height: 32px;\n",
              "      padding: 0 0 0 0;\n",
              "      width: 32px;\n",
              "    }\n",
              "\n",
              "    .colab-df-convert:hover {\n",
              "      background-color: #E2EBFA;\n",
              "      box-shadow: 0px 1px 2px rgba(60, 64, 67, 0.3), 0px 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
              "      fill: #174EA6;\n",
              "    }\n",
              "\n",
              "    [theme=dark] .colab-df-convert {\n",
              "      background-color: #3B4455;\n",
              "      fill: #D2E3FC;\n",
              "    }\n",
              "\n",
              "    [theme=dark] .colab-df-convert:hover {\n",
              "      background-color: #434B5C;\n",
              "      box-shadow: 0px 1px 3px 1px rgba(0, 0, 0, 0.15);\n",
              "      filter: drop-shadow(0px 1px 2px rgba(0, 0, 0, 0.3));\n",
              "      fill: #FFFFFF;\n",
              "    }\n",
              "  </style>\n",
              "\n",
              "      <script>\n",
              "        const buttonEl =\n",
              "          document.querySelector('#df-442c2530-d7c7-486a-b6bd-b7829b7fa39b button.colab-df-convert');\n",
              "        buttonEl.style.display =\n",
              "          google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "\n",
              "        async function convertToInteractive(key) {\n",
              "          const element = document.querySelector('#df-442c2530-d7c7-486a-b6bd-b7829b7fa39b');\n",
              "          const dataTable =\n",
              "            await google.colab.kernel.invokeFunction('convertToInteractive',\n",
              "                                                     [key], {});\n",
              "          if (!dataTable) return;\n",
              "\n",
              "          const docLinkHtml = 'Like what you see? Visit the ' +\n",
              "            '<a target=\"_blank\" href=https://colab.research.google.com/notebooks/data_table.ipynb>data table notebook</a>'\n",
              "            + ' to learn more about interactive tables.';\n",
              "          element.innerHTML = '';\n",
              "          dataTable['output_type'] = 'display_data';\n",
              "          await google.colab.output.renderOutput(dataTable, element);\n",
              "          const docLink = document.createElement('div');\n",
              "          docLink.innerHTML = docLinkHtml;\n",
              "          element.appendChild(docLink);\n",
              "        }\n",
              "      </script>\n",
              "    </div>\n",
              "  </div>\n",
              "  "
            ],
            "text/plain": [
              "       Sleep_problems Headache Diarrhea  ... Loss_of_smell Loss_of_taste urticaria\n",
              "count             487      486      487  ...           487           487       487\n",
              "unique              2        3        4  ...             2             2         2\n",
              "top                no       no       no  ...            no            no        no\n",
              "freq              436      275      387  ...           380           425       479\n",
              "\n",
              "[4 rows x 21 columns]"
            ]
          },
          "metadata": {},
          "execution_count": 37
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "a=covid.Diarrhea.unique()\n",
        "b=covid.Abdominal_pain.unique()\n",
        "print(a)\n",
        "print(b)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "v_4X5GSEjN6r",
        "outputId": "d4f50308-7a5d-4b5b-eefd-bbde253d2e3a"
      },
      "execution_count": 39,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "['yes' 'no' 'Yes' 'No']\n",
            "['yes' 'no' 'es']\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "covid=covid.replace({'Yes':'yes', 'No':'no'})\n",
        "covid=covid.replace({'es':'yes'})\n",
        "covid.describe()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 239
        },
        "id": "bK0g0kK4jQct",
        "outputId": "00b541b2-8d6e-4eb2-efcf-4f6065132e6e"
      },
      "execution_count": 42,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/html": [
              "\n",
              "  <div id=\"df-c6c2f7e4-1501-4ac0-a333-bac6a1e4cc6c\">\n",
              "    <div class=\"colab-df-container\">\n",
              "      <div>\n",
              "<style scoped>\n",
              "    .dataframe tbody tr th:only-of-type {\n",
              "        vertical-align: middle;\n",
              "    }\n",
              "\n",
              "    .dataframe tbody tr th {\n",
              "        vertical-align: top;\n",
              "    }\n",
              "\n",
              "    .dataframe thead th {\n",
              "        text-align: right;\n",
              "    }\n",
              "</style>\n",
              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>Sleep_problems</th>\n",
              "      <th>Headache</th>\n",
              "      <th>Diarrhea</th>\n",
              "      <th>Abdominal_pain</th>\n",
              "      <th>body_pain</th>\n",
              "      <th>Body_discoloration</th>\n",
              "      <th>Cough</th>\n",
              "      <th>Fever</th>\n",
              "      <th>Ague</th>\n",
              "      <th>Sore_throat</th>\n",
              "      <th>Fatigue</th>\n",
              "      <th>runny_nose</th>\n",
              "      <th>Chest_pain</th>\n",
              "      <th>Decreased_appetite</th>\n",
              "      <th>Vomit</th>\n",
              "      <th>Nausea</th>\n",
              "      <th>Sneezing</th>\n",
              "      <th>Shortness_of_breath</th>\n",
              "      <th>Loss_of_smell</th>\n",
              "      <th>Loss_of_taste</th>\n",
              "      <th>urticaria</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>count</th>\n",
              "      <td>487</td>\n",
              "      <td>486</td>\n",
              "      <td>487</td>\n",
              "      <td>487</td>\n",
              "      <td>487</td>\n",
              "      <td>487</td>\n",
              "      <td>487</td>\n",
              "      <td>487</td>\n",
              "      <td>487</td>\n",
              "      <td>487</td>\n",
              "      <td>487</td>\n",
              "      <td>487</td>\n",
              "      <td>487</td>\n",
              "      <td>487</td>\n",
              "      <td>487</td>\n",
              "      <td>487</td>\n",
              "      <td>487</td>\n",
              "      <td>487</td>\n",
              "      <td>487</td>\n",
              "      <td>487</td>\n",
              "      <td>487</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>unique</th>\n",
              "      <td>2</td>\n",
              "      <td>2</td>\n",
              "      <td>2</td>\n",
              "      <td>2</td>\n",
              "      <td>2</td>\n",
              "      <td>2</td>\n",
              "      <td>2</td>\n",
              "      <td>2</td>\n",
              "      <td>2</td>\n",
              "      <td>2</td>\n",
              "      <td>2</td>\n",
              "      <td>2</td>\n",
              "      <td>2</td>\n",
              "      <td>2</td>\n",
              "      <td>2</td>\n",
              "      <td>2</td>\n",
              "      <td>2</td>\n",
              "      <td>2</td>\n",
              "      <td>2</td>\n",
              "      <td>2</td>\n",
              "      <td>2</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>top</th>\n",
              "      <td>no</td>\n",
              "      <td>no</td>\n",
              "      <td>no</td>\n",
              "      <td>no</td>\n",
              "      <td>no</td>\n",
              "      <td>no</td>\n",
              "      <td>no</td>\n",
              "      <td>yes</td>\n",
              "      <td>no</td>\n",
              "      <td>no</td>\n",
              "      <td>no</td>\n",
              "      <td>no</td>\n",
              "      <td>no</td>\n",
              "      <td>no</td>\n",
              "      <td>no</td>\n",
              "      <td>no</td>\n",
              "      <td>no</td>\n",
              "      <td>no</td>\n",
              "      <td>no</td>\n",
              "      <td>no</td>\n",
              "      <td>no</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>freq</th>\n",
              "      <td>436</td>\n",
              "      <td>283</td>\n",
              "      <td>410</td>\n",
              "      <td>450</td>\n",
              "      <td>267</td>\n",
              "      <td>462</td>\n",
              "      <td>249</td>\n",
              "      <td>282</td>\n",
              "      <td>445</td>\n",
              "      <td>341</td>\n",
              "      <td>280</td>\n",
              "      <td>394</td>\n",
              "      <td>426</td>\n",
              "      <td>380</td>\n",
              "      <td>471</td>\n",
              "      <td>423</td>\n",
              "      <td>449</td>\n",
              "      <td>326</td>\n",
              "      <td>380</td>\n",
              "      <td>425</td>\n",
              "      <td>479</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>\n",
              "      <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-c6c2f7e4-1501-4ac0-a333-bac6a1e4cc6c')\"\n",
              "              title=\"Convert this dataframe to an interactive table.\"\n",
              "              style=\"display:none;\">\n",
              "        \n",
              "  <svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\"viewBox=\"0 0 24 24\"\n",
              "       width=\"24px\">\n",
              "    <path d=\"M0 0h24v24H0V0z\" fill=\"none\"/>\n",
              "    <path d=\"M18.56 5.44l.94 2.06.94-2.06 2.06-.94-2.06-.94-.94-2.06-.94 2.06-2.06.94zm-11 1L8.5 8.5l.94-2.06 2.06-.94-2.06-.94L8.5 2.5l-.94 2.06-2.06.94zm10 10l.94 2.06.94-2.06 2.06-.94-2.06-.94-.94-2.06-.94 2.06-2.06.94z\"/><path d=\"M17.41 7.96l-1.37-1.37c-.4-.4-.92-.59-1.43-.59-.52 0-1.04.2-1.43.59L10.3 9.45l-7.72 7.72c-.78.78-.78 2.05 0 2.83L4 21.41c.39.39.9.59 1.41.59.51 0 1.02-.2 1.41-.59l7.78-7.78 2.81-2.81c.8-.78.8-2.07 0-2.86zM5.41 20L4 18.59l7.72-7.72 1.47 1.35L5.41 20z\"/>\n",
              "  </svg>\n",
              "      </button>\n",
              "      \n",
              "  <style>\n",
              "    .colab-df-container {\n",
              "      display:flex;\n",
              "      flex-wrap:wrap;\n",
              "      gap: 12px;\n",
              "    }\n",
              "\n",
              "    .colab-df-convert {\n",
              "      background-color: #E8F0FE;\n",
              "      border: none;\n",
              "      border-radius: 50%;\n",
              "      cursor: pointer;\n",
              "      display: none;\n",
              "      fill: #1967D2;\n",
              "      height: 32px;\n",
              "      padding: 0 0 0 0;\n",
              "      width: 32px;\n",
              "    }\n",
              "\n",
              "    .colab-df-convert:hover {\n",
              "      background-color: #E2EBFA;\n",
              "      box-shadow: 0px 1px 2px rgba(60, 64, 67, 0.3), 0px 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
              "      fill: #174EA6;\n",
              "    }\n",
              "\n",
              "    [theme=dark] .colab-df-convert {\n",
              "      background-color: #3B4455;\n",
              "      fill: #D2E3FC;\n",
              "    }\n",
              "\n",
              "    [theme=dark] .colab-df-convert:hover {\n",
              "      background-color: #434B5C;\n",
              "      box-shadow: 0px 1px 3px 1px rgba(0, 0, 0, 0.15);\n",
              "      filter: drop-shadow(0px 1px 2px rgba(0, 0, 0, 0.3));\n",
              "      fill: #FFFFFF;\n",
              "    }\n",
              "  </style>\n",
              "\n",
              "      <script>\n",
              "        const buttonEl =\n",
              "          document.querySelector('#df-c6c2f7e4-1501-4ac0-a333-bac6a1e4cc6c button.colab-df-convert');\n",
              "        buttonEl.style.display =\n",
              "          google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "\n",
              "        async function convertToInteractive(key) {\n",
              "          const element = document.querySelector('#df-c6c2f7e4-1501-4ac0-a333-bac6a1e4cc6c');\n",
              "          const dataTable =\n",
              "            await google.colab.kernel.invokeFunction('convertToInteractive',\n",
              "                                                     [key], {});\n",
              "          if (!dataTable) return;\n",
              "\n",
              "          const docLinkHtml = 'Like what you see? Visit the ' +\n",
              "            '<a target=\"_blank\" href=https://colab.research.google.com/notebooks/data_table.ipynb>data table notebook</a>'\n",
              "            + ' to learn more about interactive tables.';\n",
              "          element.innerHTML = '';\n",
              "          dataTable['output_type'] = 'display_data';\n",
              "          await google.colab.output.renderOutput(dataTable, element);\n",
              "          const docLink = document.createElement('div');\n",
              "          docLink.innerHTML = docLinkHtml;\n",
              "          element.appendChild(docLink);\n",
              "        }\n",
              "      </script>\n",
              "    </div>\n",
              "  </div>\n",
              "  "
            ],
            "text/plain": [
              "       Sleep_problems Headache Diarrhea  ... Loss_of_smell Loss_of_taste urticaria\n",
              "count             487      486      487  ...           487           487       487\n",
              "unique              2        2        2  ...             2             2         2\n",
              "top                no       no       no  ...            no            no        no\n",
              "freq              436      283      410  ...           380           425       479\n",
              "\n",
              "[4 rows x 21 columns]"
            ]
          },
          "metadata": {},
          "execution_count": 42
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "np.where(pd.isnull(covid))"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "JstMc_Y08O_v",
        "outputId": "30fdb1cd-cba3-467b-e4c7-513e80c03352"
      },
      "execution_count": 48,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "(array([396]), array([1]))"
            ]
          },
          "metadata": {},
          "execution_count": 48
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "covid=covid.drop(covid.index[396])"
      ],
      "metadata": {
        "id": "onIl69RS83AR"
      },
      "execution_count": 49,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "covid=covid.replace({'yes':1, 'no':0})\n"
      ],
      "metadata": {
        "id": "6VDITZBCjdPx"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "covid=covid.drop_duplicates(keep=False)\n",
        "covid.shape"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "FoRqQIa5jfQZ",
        "outputId": "c44839ea-e131-41e8-a11c-982a3d86412f"
      },
      "execution_count": 54,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "(205, 21)"
            ]
          },
          "metadata": {},
          "execution_count": 54
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "plt.figure(figsize=(30,30))\n",
        "cor = covid.corr()\n",
        "ax=sns.heatmap(cor, annot=True, cmap=plt.cm.Blues)\n",
        "ax.set_xticklabels(ax.get_xticklabels(), rotation=45, horizontalalignment='right')\n",
        "ax.set_yticklabels(ax.get_yticklabels(), rotation=45, horizontalalignment='right')\n",
        "plt.show()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 1000
        },
        "id": "EuZT8xMSjmPt",
        "outputId": "4bd6d6d6-0a9c-4878-fad8-71e459c54c21"
      },
      "execution_count": 62,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 2160x2160 with 2 Axes>"
            ]
          },
          "metadata": {
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "covid =covid.drop(['Loss_of_smell','Ague','Decreased_appetite' ,'Sore_throat','Abdominal_pain'],axis=1)\n"
      ],
      "metadata": {
        "id": "22cFhbnzjosO"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "att={}\n",
        "for i in covid.columns:\n",
        "    att[i]=[1,0]"
      ],
      "metadata": {
        "id": "WwQpyaIajrR2"
      },
      "execution_count": 71,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "all=pd.DataFrame([row for row in product(*att.values())],columns=att.keys())\n",
        "\n"
      ],
      "metadata": {
        "id": "NDS7IfCYjuCJ"
      },
      "execution_count": 75,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "q=len(all)\n",
        "w=len(covid)\n",
        "print(q,w)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "bQ_tO3OtAv_A",
        "outputId": "4eb3cc02-811d-41fa-d9ac-3b190bc8610b"
      },
      "execution_count": 76,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "65536 205\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "new_all=all.sample(n=100)"
      ],
      "metadata": {
        "id": "vSBUJ7qWBAjx"
      },
      "execution_count": 97,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "no_class = pd.concat([covid,new_all])\n",
        "no_covid=no_class.drop_duplicates(keep=False)\n",
        "len(no_covid)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "MeQqyFRzjwVr",
        "outputId": "7addb9b3-3016-410a-a658-0a822762c1c5"
      },
      "execution_count": 98,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "261"
            ]
          },
          "metadata": {},
          "execution_count": 98
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "no_covid['class']=0\n",
        "covid['class']=1"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "COQa2ymTj41u",
        "outputId": "f4e61002-f8ac-4e32-b319-01cf95bdab46"
      },
      "execution_count": 99,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "/usr/local/lib/python3.7/dist-packages/ipykernel_launcher.py:1: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame.\n",
            "Try using .loc[row_indexer,col_indexer] = value instead\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  \"\"\"Entry point for launching an IPython kernel.\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "data =pd.concat([no_covid,covid],ignore_index=True)\n",
        "data_alpha=data.replace({1:'yes', 0:'no'})"
      ],
      "metadata": {
        "id": "YWdj_-2bj7tg"
      },
      "execution_count": 104,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "x=data.iloc[:,:-1]\n",
        "y =data.iloc[:,-1]"
      ],
      "metadata": {
        "id": "Nk_yjzx0j95N"
      },
      "execution_count": 101,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "data.to_excel(\"/content/data.xlsx\",index=False)"
      ],
      "metadata": {
        "id": "PH5__YWVkEYs"
      },
      "execution_count": 102,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "x_train, x_test, y_train, y_test = train_test_split(x, y, test_size = 0.10)"
      ],
      "metadata": {
        "id": "TmwDt59xFjzD"
      },
      "execution_count": 168,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "source": [
        "find_s"
      ],
      "metadata": {
        "id": "m8CNUiW_Gm6D"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "a=x.values.tolist()\n",
        "b=y.values.tolist()"
      ],
      "metadata": {
        "id": "_CXnTmeQRWWb"
      },
      "execution_count": 134,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "for i , val in enumerate(b):\n",
        "  if val==1:\n",
        "    s=a[i].copy()\n",
        "    break\n",
        "for i , val in enumerate(a):\n",
        "  if b[i]==1:\n",
        "    for u in range(len(s)):\n",
        "      if str(val[u])!=s[u]:\n",
        "        s[u]=\"?\"\n",
        "      else:\n",
        "        pass\n",
        "            \n"
      ],
      "metadata": {
        "id": "vOje4l3sKnRP"
      },
      "execution_count": 150,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "s"
      ],
      "metadata": {
        "id": "Tp9Zl04QTi3N",
        "outputId": "e0577ff6-49b4-4f41-d2b6-f5e967fcf88c",
        "colab": {
          "base_uri": "https://localhost:8080/"
        }
      },
      "execution_count": 151,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "['?',\n",
              " '?',\n",
              " '?',\n",
              " '?',\n",
              " '?',\n",
              " '?',\n",
              " '?',\n",
              " '?',\n",
              " '?',\n",
              " '?',\n",
              " '?',\n",
              " '?',\n",
              " '?',\n",
              " '?',\n",
              " '?',\n",
              " '?']"
            ]
          },
          "metadata": {},
          "execution_count": 151
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "def learn(concepts, target):\n",
        "\n",
        "    specific_h = concepts[0].copy()\n",
        "\n",
        "    print(\"Initialization of specific_h and general_h\")\n",
        "\n",
        "    print(\"specific_h: \",specific_h)\n",
        "\n",
        "    general_h = [[\"?\" for i in range(len(specific_h))] for i in range(len(specific_h))]\n",
        "    print(\"general_h: \",general_h)\n",
        "\n",
        "    print(\"concepts: \",concepts)\n",
        "\n",
        "    for i, h in enumerate(concepts):\n",
        "\n",
        "        if target[i] == 1:\n",
        "\n",
        "            for x in range(len(specific_h)):\n",
        "\n",
        "                #print(\"h[x]\",h[x])\n",
        "\n",
        "                if str(h[x]) != specific_h[x]:\n",
        "\n",
        "                    specific_h[x] = '?'\n",
        "\n",
        "                    general_h[x][x] = '?'\n",
        "\n",
        "        if target[i] == 0:\n",
        "\n",
        "            for x in range(len(specific_h)):\n",
        "\n",
        "                if str(h[x]) != specific_h[x]:\n",
        "\n",
        "                    general_h[x][x] = specific_h[x]\n",
        "\n",
        "                else:\n",
        "\n",
        "                    general_h[x][x] = '?'\n",
        "\n",
        "    print(\"\\nSteps of Candidate Elimination Algorithm: \",i+1)\n",
        "\n",
        "    print(\"Specific_h: \",i+1)\n",
        "\n",
        "    print(specific_h,\"\\n\")\n",
        "\n",
        "    print(\"general_h :\", i+1)\n",
        "\n",
        "    print(general_h)\n",
        "\n",
        "    indices = [i for i, val in enumerate(general_h) if val == ['?', '?', '?', '?', '?', '?','?', '?', '?', '?', '?', '?','?', '?', '?', '?']]\n",
        "\n",
        "    print(\"\\nIndices\",indices)\n",
        "\n",
        "    for i in indices:\n",
        "\n",
        "        general_h.remove(['?', '?', '?', '?', '?', '?','?', '?', '?', '?', '?', '?','?', '?', '?', '?'])\n",
        "    if(len(general_h))==0:\n",
        "      general_h=['?', '?', '?', '?', '?', '?','?', '?', '?', '?', '?', '?','?', '?', '?', '?']\n",
        "    return specific_h, general_h\n",
        "\n",
        "s_final,g_final = learn(a, b)\n",
        "\n",
        "print(\"\\nFinal Specific_h:\", s_final, sep=\"\\n\")\n",
        "\n",
        "print(\"Final General_h:\", g_final, sep=\"\\n\")"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "2gUMhkjxM1PD",
        "outputId": "7b7e496d-ade7-4793-9d99-341876275e0e"
      },
      "execution_count": 159,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Initialization of specific_h and general_h\n",
            "specific_h:  [1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0]\n",
            "general_h:  [['?', '?', '?', '?', '?', '?', '?', '?', '?', '?', '?', '?', '?', '?', '?', '?'], ['?', '?', '?', '?', '?', '?', '?', '?', '?', '?', '?', '?', '?', '?', '?', '?'], ['?', '?', '?', '?', '?', '?', '?', '?', '?', '?', '?', '?', '?', '?', '?', '?'], ['?', '?', '?', '?', '?', '?', '?', '?', '?', '?', '?', '?', '?', '?', '?', '?'], ['?', '?', '?', '?', '?', '?', '?', '?', '?', '?', '?', '?', '?', '?', '?', '?'], ['?', '?', '?', '?', '?', '?', '?', '?', '?', '?', '?', '?', '?', '?', '?', '?'], ['?', '?', '?', '?', '?', '?', '?', '?', '?', '?', '?', '?', '?', '?', '?', '?'], ['?', '?', '?', '?', '?', '?', '?', '?', '?', '?', '?', '?', '?', '?', '?', '?'], ['?', '?', '?', '?', '?', '?', '?', '?', '?', '?', '?', '?', '?', '?', '?', '?'], ['?', '?', '?', '?', '?', '?', '?', '?', '?', '?', '?', '?', '?', '?', '?', '?'], ['?', '?', '?', '?', '?', '?', '?', '?', '?', '?', '?', '?', '?', '?', '?', '?'], ['?', '?', '?', '?', '?', '?', '?', '?', '?', '?', '?', '?', '?', '?', '?', '?'], ['?', '?', '?', '?', '?', '?', '?', '?', '?', '?', '?', '?', '?', '?', '?', '?'], ['?', '?', '?', '?', '?', '?', '?', '?', '?', '?', '?', '?', '?', '?', '?', '?'], ['?', '?', '?', '?', '?', '?', '?', '?', '?', '?', '?', '?', '?', '?', '?', '?'], ['?', '?', '?', '?', '?', '?', '?', '?', '?', '?', '?', '?', '?', '?', '?', '?']]\n",
            "concepts:  [[1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0], [0, 1, 0, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0], [1, 1, 1, 1, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0], [0, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0], [0, 0, 1, 1, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0], [1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0], [1, 0, 1, 1, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0], [0, 0, 0, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0], [0, 0, 0, 0, 0, 1, 0, 1, 1, 1, 0, 0, 0, 0, 0, 0], [0, 1, 1, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0], [0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 0, 0, 0, 0, 0, 0], [0, 0, 0, 0, 0, 1, 1, 1, 0, 1, 0, 0, 0, 0, 0, 0], [0, 1, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 0, 0, 0, 0], [0, 0, 1, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0], [0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 0], [0, 0, 0, 0, 0, 1, 0, 1, 1, 1, 0, 0, 1, 0, 0, 0], [0, 0, 1, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0], [0, 1, 0, 1, 0, 0, 0, 0, 1, 1, 1, 1, 0, 0, 0, 0], [0, 0, 0, 1, 0, 1, 0, 1, 0, 0, 0, 0, 1, 0, 0, 0], [0, 0, 0, 1, 0, 0, 1, 0, 1, 1, 0, 0, 0, 0, 0, 0], [0, 1, 1, 0, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0], [0, 0, 1, 0, 0, 0, 0, 1, 0, 1, 1, 1, 0, 0, 0, 0], [0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 0, 0, 0], [0, 1, 0, 0, 0, 1, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0], [0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 0, 0, 0], [0, 1, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 0], [0, 0, 0, 0, 0, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0], [0, 0, 0, 1, 0, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0], [0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 1, 0, 1, 0, 0], [0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0], [0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0], [0, 1, 0, 1, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0], [0, 0, 0, 1, 0, 1, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0], [0, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0], [0, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0], [1, 1, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0], [1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0], [1, 0, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0], [0, 0, 0, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0], [0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0], [0, 0, 1, 1, 0, 1, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0], [0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 0, 1, 0, 0], [0, 1, 1, 0, 0, 0, 1, 1, 0, 0, 0, 1, 0, 0, 0, 0], [0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 0, 1, 0, 0], [0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 1, 0, 0], [0, 0, 0, 0, 0, 1, 1, 1, 0, 1, 0, 0, 0, 1, 0, 0], [0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 0, 0, 0, 1, 0], [0, 0, 1, 0, 0, 0, 1, 1, 0, 0, 0, 0, 0, 0, 1, 0], [0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0], [0, 1, 1, 0, 0, 0, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0], [0, 1, 0, 0, 0, 1, 0, 1, 0, 1, 0, 0, 0, 0, 0, 0], [0, 0, 0, 1, 0, 0, 1, 0, 0, 0, 0, 1, 0, 1, 0, 0], [0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 1], [0, 0, 0, 1, 0, 1, 0, 1, 0, 0, 0, 1, 0, 0, 0, 0], [0, 1, 0, 1, 0, 1, 1, 0, 0, 0, 0, 1, 0, 0, 0, 0], [0, 0, 0, 1, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 1, 0], [0, 0, 0, 1, 0, 1, 1, 0, 0, 1, 0, 0, 0, 0, 0, 0], [0, 0, 0, 1, 0, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 1], [0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 0, 1, 0, 0, 0, 1], [0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 1, 0, 0], [0, 1, 0, 0, 0, 1, 1, 0, 0, 1, 0, 1, 0, 1, 0, 0], [0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 0, 1, 0, 1, 0, 0], [0, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 0, 0, 0], [0, 0, 0, 0, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0], [0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0], [0, 1, 0, 0, 0, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0], [0, 1, 0, 0, 0, 1, 1, 1, 0, 1, 0, 1, 0, 0, 0, 0], [0, 1, 0, 0, 0, 1, 0, 1, 0, 0, 0, 1, 0, 0, 0, 0], [0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0], [0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0], [0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0], [0, 1, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0], [0, 1, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0], [0, 1, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0], [0, 1, 1, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0], [0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0], [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0], [0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0], [0, 1, 1, 1, 0, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0], [0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0], [0, 1, 0, 1, 0, 0, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0], [0, 1, 0, 1, 0, 0, 1, 0, 1, 0, 0, 0, 0, 0, 0, 0], [0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0], [0, 0, 0, 1, 0, 0, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0], [0, 0, 0, 1, 0, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0], [0, 1, 0, 0, 0, 1, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0], [0, 0, 0, 1, 0, 0, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0], [0, 1, 0, 0, 0, 1, 1, 0, 1, 0, 0, 0, 0, 0, 0, 0], [0, 0, 0, 1, 0, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0], [0, 1, 0, 1, 0, 0, 0, 1, 1, 0, 0, 0, 0, 0, 0, 0], [0, 1, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 0, 0, 0, 0], [0, 0, 0, 1, 0, 1, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0], [0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0], [0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0], [0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0], [0, 0, 0, 1, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0], [0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0], [0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 0, 1, 0, 0], [0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0], [0, 1, 0, 1, 0, 0, 0, 0, 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0, 0, 0, 0, 0, 0, 0, 1], [0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 0, 1, 0, 0, 0, 1], [0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 1, 0, 0], [0, 1, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 1, 0, 0], [0, 1, 0, 0, 0, 1, 1, 0, 0, 1, 0, 1, 0, 1, 0, 0], [0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 0, 1, 0, 1, 0, 0], [0, 1, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 1, 0, 0], [0, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 0, 0, 0], [0, 0, 0, 0, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0], [0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0], [0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0], [0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0], [0, 1, 0, 0, 0, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0], [0, 1, 0, 0, 0, 1, 1, 1, 0, 1, 0, 1, 0, 0, 0, 0], [0, 1, 0, 0, 0, 1, 0, 1, 0, 0, 0, 1, 0, 0, 0, 0], [0, 1, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0], [0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0], [0, 1, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0], [0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0], [0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0], [0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0], [0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0], [0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0], [0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0], [0, 1, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0], [0, 1, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0], [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0], [0, 1, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0], [0, 1, 1, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0], [0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0], [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0], [0, 1, 0, 0, 0, 1, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0], [0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0], [0, 1, 1, 1, 0, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0], [0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0], [0, 1, 0, 1, 0, 0, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0], [0, 1, 0, 1, 0, 0, 1, 0, 1, 0, 0, 0, 0, 0, 0, 0], [0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0], [0, 0, 0, 1, 0, 0, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0], [0, 0, 0, 1, 0, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0], [0, 1, 0, 0, 0, 1, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0], [0, 0, 0, 1, 0, 0, 1, 0, 1, 0, 0, 0, 0, 0, 0, 0], [0, 1, 0, 0, 0, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0], [0, 0, 0, 1, 0, 0, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0], [0, 1, 0, 0, 0, 1, 1, 0, 1, 0, 0, 0, 0, 0, 0, 0], [0, 0, 0, 1, 0, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0], [0, 1, 0, 1, 0, 0, 0, 1, 1, 0, 0, 0, 0, 0, 0, 0], [0, 1, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 0, 0, 0, 0], [0, 0, 0, 1, 0, 1, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0], [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0], [0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0], [0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0], [0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0], [0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0], [0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0], [0, 0, 0, 1, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0], [0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0], [0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0], [0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 0, 1, 0, 0], [0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0], [0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0], [0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0], [0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 0, 0, 0, 0], [0, 1, 0, 1, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0], [0, 0, 1, 1, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0], [0, 1, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0], [0, 1, 1, 0, 0, 0, 1, 0, 1, 0, 0, 0, 0, 0, 0, 0], [0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0], [0, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0], [1, 1, 0, 1, 0, 1, 1, 1, 1, 0, 0, 0, 0, 1, 0, 0], [0, 0, 0, 1, 0, 1, 1, 1, 0, 1, 0, 0, 0, 0, 0, 0], [0, 1, 0, 1, 0, 1, 1, 1, 1, 1, 0, 0, 0, 1, 1, 0], [0, 0, 1, 1, 0, 1, 1, 1, 0, 0, 0, 0, 0, 1, 0, 0], [0, 1, 0, 1, 0, 1, 1, 1, 0, 1, 0, 0, 0, 1, 0, 0], [1, 1, 0, 1, 0, 0, 1, 1, 1, 0, 0, 1, 0, 1, 0, 0], [0, 1, 0, 1, 0, 1, 1, 1, 0, 0, 0, 0, 0, 1, 0, 0], [0, 1, 1, 1, 1, 0, 1, 1, 1, 1, 0, 1, 0, 1, 1, 0], [1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 0, 0, 1, 1, 1, 0], [0, 1, 0, 1, 0, 0, 1, 1, 0, 0, 0, 0, 1, 1, 0, 0], [1, 0, 0, 1, 0, 1, 1, 1, 0, 1, 0, 0, 1, 0, 1, 0], [1, 1, 1, 1, 1, 0, 0, 1, 1, 1, 1, 1, 1, 1, 1, 0], [1, 1, 0, 1, 0, 1, 1, 1, 1, 0, 1, 1, 1, 0, 1, 0], [0, 1, 1, 1, 0, 0, 1, 0, 1, 1, 1, 0, 1, 0, 1, 0], [1, 0, 0, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 1, 0, 0], [1, 1, 0, 1, 0, 1, 1, 1, 0, 1, 0, 0, 1, 1, 1, 0], [1, 0, 0, 1, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0], [0, 0, 1, 1, 0, 1, 1, 1, 1, 1, 0, 0, 1, 1, 1, 0], [0, 1, 0, 1, 0, 1, 1, 0, 1, 1, 0, 0, 1, 0, 0, 0], [0, 1, 0, 1, 1, 1, 1, 0, 1, 0, 1, 0, 1, 1, 0, 0], [0, 0, 0, 1, 0, 1, 0, 0, 1, 0, 0, 0, 1, 0, 1, 0], [0, 1, 1, 1, 0, 0, 1, 0, 0, 1, 0, 0, 1, 0, 1, 0], [1, 1, 0, 1, 0, 1, 1, 0, 0, 1, 0, 0, 1, 0, 1, 1], [0, 0, 0, 1, 0, 1, 1, 1, 0, 0, 0, 1, 1, 1, 0, 0], [0, 0, 0, 1, 0, 1, 1, 1, 0, 0, 0, 1, 1, 1, 1, 0], [1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1], [0, 0, 0, 1, 0, 1, 1, 1, 0, 0, 0, 0, 1, 1, 1, 0], [0, 0, 1, 1, 0, 1, 1, 1, 0, 0, 0, 0, 0, 1, 1, 0], [1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 0, 1, 1, 1, 1, 1], [1, 1, 0, 1, 1, 1, 1, 1, 1, 1, 0, 1, 1, 1, 1, 0], [1, 1, 0, 1, 0, 0, 1, 1, 1, 0, 1, 1, 1, 0, 1, 0], [0, 0, 0, 1, 0, 0, 1, 0, 1, 1, 0, 1, 0, 1, 1, 0], [1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 0, 1, 1, 1, 0, 0], [1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 1, 1, 0, 1, 1, 0], [0, 1, 0, 1, 0, 1, 1, 0, 0, 1, 0, 1, 1, 1, 1, 0], [0, 0, 1, 1, 0, 1, 0, 1, 1, 0, 0, 1, 0, 1, 1, 0], [1, 0, 1, 1, 0, 1, 1, 1, 1, 0, 0, 1, 1, 1, 1, 0], [1, 1, 1, 1, 0, 1, 1, 1, 1, 0, 0, 0, 0, 1, 1, 1], [0, 1, 0, 1, 0, 0, 0, 1, 1, 0, 0, 0, 1, 0, 0, 0], [0, 1, 0, 1, 0, 1, 0, 1, 1, 0, 0, 0, 1, 0, 0, 0], [1, 1, 0, 1, 0, 1, 1, 1, 1, 0, 0, 1, 1, 1, 1, 0], [1, 1, 0, 1, 0, 1, 1, 1, 1, 0, 0, 0, 0, 1, 1, 0], [0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 0, 0], [1, 1, 0, 1, 0, 1, 0, 0, 1, 0, 0, 0, 1, 0, 0, 0], [1, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0], [1, 1, 0, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 1, 1, 1], [0, 0, 0, 1, 1, 1, 0, 1, 1, 0, 0, 0, 0, 0, 1, 0], [0, 1, 0, 1, 1, 1, 1, 1, 0, 1, 0, 0, 0, 1, 1, 0], [0, 1, 0, 1, 0, 1, 1, 1, 1, 1, 0, 0, 0, 0, 1, 0], [0, 1, 0, 1, 0, 1, 1, 1, 1, 1, 0, 0, 0, 1, 1, 0], [0, 1, 1, 1, 0, 1, 1, 1, 1, 1, 1, 1, 0, 1, 0, 0], [0, 1, 0, 1, 0, 1, 1, 1, 0, 1, 0, 0, 0, 1, 1, 0], [0, 1, 0, 1, 0, 1, 1, 1, 0, 0, 0, 0, 1, 1, 1, 0], [0, 1, 0, 0, 0, 1, 1, 1, 1, 0, 0, 1, 1, 0, 0, 0], [0, 0, 0, 1, 1, 0, 0, 1, 0, 1, 0, 0, 0, 1, 1, 0], [0, 0, 0, 1, 0, 1, 1, 1, 1, 1, 0, 0, 1, 1, 1, 0], [0, 0, 0, 1, 0, 1, 1, 1, 0, 1, 0, 0, 1, 0, 1, 0], [0, 1, 0, 1, 0, 1, 1, 1, 0, 1, 0, 0, 1, 0, 0, 0]]\n",
            "\n",
            "Steps of Candidate Elimination Algorithm:  466\n",
            "Specific_h:  466\n",
            "['?', '?', '?', '?', '?', '?', '?', '?', '?', '?', '?', '?', '?', '?', '?', '?'] \n",
            "\n",
            "general_h : 466\n",
            "[['?', '?', '?', '?', '?', '?', '?', '?', '?', '?', '?', '?', '?', '?', '?', '?'], ['?', '?', '?', '?', '?', '?', '?', '?', '?', '?', '?', '?', '?', '?', '?', '?'], ['?', '?', '?', '?', '?', '?', '?', '?', '?', '?', '?', '?', '?', '?', '?', '?'], ['?', '?', '?', '?', '?', '?', '?', '?', '?', '?', '?', '?', '?', '?', '?', '?'], ['?', '?', '?', '?', '?', '?', '?', '?', '?', '?', '?', '?', '?', '?', '?', '?'], ['?', '?', '?', '?', '?', '?', '?', '?', '?', '?', '?', '?', '?', '?', '?', '?'], ['?', '?', '?', '?', '?', '?', '?', '?', '?', '?', '?', '?', '?', '?', '?', '?'], ['?', '?', '?', '?', '?', '?', '?', '?', '?', '?', '?', '?', '?', '?', '?', '?'], ['?', '?', '?', '?', '?', '?', '?', '?', '?', '?', '?', '?', '?', '?', '?', '?'], ['?', '?', '?', '?', '?', '?', '?', '?', '?', '?', '?', '?', '?', '?', '?', '?'], ['?', '?', '?', '?', '?', '?', '?', '?', '?', '?', '?', '?', '?', '?', '?', '?'], ['?', '?', '?', '?', '?', '?', '?', '?', '?', '?', '?', '?', '?', '?', '?', '?'], ['?', '?', '?', '?', '?', '?', '?', '?', '?', '?', '?', '?', '?', '?', '?', '?'], ['?', '?', '?', '?', '?', '?', '?', '?', '?', '?', '?', '?', '?', '?', '?', '?'], ['?', '?', '?', '?', '?', '?', '?', '?', '?', '?', '?', '?', '?', '?', '?', '?'], ['?', '?', '?', '?', '?', '?', '?', '?', '?', '?', '?', '?', '?', '?', '?', '?']]\n",
            "\n",
            "Indices [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15]\n",
            "\n",
            "Final Specific_h:\n",
            "['?', '?', '?', '?', '?', '?', '?', '?', '?', '?', '?', '?', '?', '?', '?', '?']\n",
            "Final General_h:\n",
            "['?', '?', '?', '?', '?', '?', '?', '?', '?', '?', '?', '?', '?', '?', '?', '?']\n"
          ]
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "#NB"
      ],
      "metadata": {
        "id": "lKgwfJ40aH4b"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "a=x_train.values.tolist()\n",
        "b=y_train.values.tolist()\n",
        "c=x_test.values.tolist()\n",
        "d=y_test.values.tolist()"
      ],
      "metadata": {
        "id": "z2ptOd37Yc6r"
      },
      "execution_count": 169,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "nb = GaussianNB()\n",
        "y_pred = nb.fit(x_train, y_train).predict(x_test)\n",
        "score=nb.score(x_test, y_test)\n",
        "print(\"Number of mislabeled points out of a total %d points : %d\"\n",
        "       % (x_test.shape[0], (y_test != y_pred).sum()))\n",
        "print(score)"
      ],
      "metadata": {
        "id": "WdxRwHi3WXMm",
        "outputId": "4996c53c-04f9-4a93-97ee-d8d197f2bec6",
        "colab": {
          "base_uri": "https://localhost:8080/"
        }
      },
      "execution_count": 173,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Number of mislabeled points out of a total 47 points : 14\n",
            "0.7021276595744681\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "from sklearn.neighbors import KNeighborsClassifier\n",
        "error_rate = []\n",
        "for i in range(1,50):\n",
        "    knn = KNeighborsClassifier(n_neighbors=i)\n",
        "    knn.fit(X_train,y_train)\n",
        "    pred_i = knn.predict(X_test)\n",
        "    error_rate.append(np.mean(pred_i != y_test))\n",
        "plt.figure(figsize=(15,8))\n",
        "plt.plot(range(1,50),error_rate,color='green', linestyle='dashed', marker='o',\n",
        " markerfacecolor='red', markersize=12)\n",
        "plt.title('Error Rate vs. K Value')\n",
        "plt.xlabel('K')\n",
        "plt.ylabel('Error Rate')"
      ],
      "metadata": {
        "id": "Z3pomrwMaHDM"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "from sklearn.neighbors import KNeighborsClassifier\n",
        "knn = KNeighborsClassifier()\n",
        "knn.fit(x_train, y_train) \n",
        "\n",
        "predicted = knn.predict(x_test)\n",
        "print(\"Predictions from the classifier:\")\n",
        "print(predicted)\n",
        "print(\"Target values:\")\n",
        "print(y_test)"
      ],
      "metadata": {
        "id": "NsbyhFSBavaF",
        "outputId": "f62a005f-cb58-4d0c-e744-6841bf58c8ad",
        "colab": {
          "base_uri": "https://localhost:8080/"
        }
      },
      "execution_count": 175,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Predictions from the classifier:\n",
            "[0 0 0 0 1 1 0 0 0 1 1 1 0 0 1 1 0 0 0 0 0 0 0 1 1 1 1 1 0 0 1 0 0 0 0 0 1\n",
            " 1 1 0 0 1 0 0 0 0 1]\n",
            "Target values:\n",
            "101    0\n",
            "183    0\n",
            "168    0\n",
            "333    1\n",
            "360    1\n",
            "61     0\n",
            "33     0\n",
            "186    0\n",
            "67     0\n",
            "151    0\n",
            "93     0\n",
            "389    1\n",
            "179    0\n",
            "426    1\n",
            "60     0\n",
            "331    1\n",
            "164    0\n",
            "234    0\n",
            "449    1\n",
            "103    0\n",
            "438    1\n",
            "359    1\n",
            "454    1\n",
            "162    0\n",
            "345    1\n",
            "407    1\n",
            "387    1\n",
            "112    0\n",
            "446    1\n",
            "441    1\n",
            "355    1\n",
            "406    1\n",
            "330    1\n",
            "298    1\n",
            "197    0\n",
            "213    0\n",
            "310    1\n",
            "97     0\n",
            "350    1\n",
            "117    0\n",
            "231    0\n",
            "96     0\n",
            "191    0\n",
            "277    1\n",
            "380    1\n",
            "176    0\n",
            "45     0\n",
            "Name: class, dtype: int64\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "print(accuracy_score(predicted, y_test))"
      ],
      "metadata": {
        "id": "K8mdCdYHbREQ",
        "outputId": "eea56e2c-bdb5-41ad-96ec-09f5849738fa",
        "colab": {
          "base_uri": "https://localhost:8080/"
        }
      },
      "execution_count": 178,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "0.5319148936170213\n"
          ]
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "id3"
      ],
      "metadata": {
        "id": "OdSBgsilbilh"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "clf = DecisionTreeClassifier(random_state=0,criterion='entropy')\n",
        "clf.fit(x_train, y_train)\n",
        "y_pred=clf.predict(x_test)\n",
        "clf.score(x_test, y_test)"
      ],
      "metadata": {
        "id": "hOq5SYVMbhoh",
        "outputId": "5d15dff0-b0fd-466f-d4a5-ba4e1a645978",
        "colab": {
          "base_uri": "https://localhost:8080/"
        }
      },
      "execution_count": 183,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "0.3404255319148936"
            ]
          },
          "metadata": {},
          "execution_count": 183
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "dt random"
      ],
      "metadata": {
        "id": "Mf2N_QcCcBvB"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "clf = DecisionTreeClassifier(random_state=0,splitter='random')\n",
        "clf.fit(x_train, y_train)\n",
        "y_pred=clf.predict(X_test)\n",
        "clf.score(x_test, y_test)"
      ],
      "metadata": {
        "id": "5W4MJQJOb0od",
        "outputId": "2fb04161-09de-4fa8-9853-975d43b78f07",
        "colab": {
          "base_uri": "https://localhost:8080/"
        }
      },
      "execution_count": 184,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "0.3617021276595745"
            ]
          },
          "metadata": {},
          "execution_count": 184
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "kmeans"
      ],
      "metadata": {
        "id": "kM7X5yZKf8bE"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "from yellowbrick.cluster import KElbowVisualizer\n",
        "from sklearn.cluster import KMeans\n",
        "model = KMeans()\n",
        "visualizer = KElbowVisualizer(model, k=(1,12)).fit(data)\n",
        "visualizer.show()"
      ],
      "metadata": {
        "id": "xR3fhnapcPix",
        "outputId": "59c91f7d-e4a4-4f56-d8d2-1ad704ab008a",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 393
        }
      },
      "execution_count": 188,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 576x396 with 2 Axes>"
            ]
          },
          "metadata": {}
        },
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "<matplotlib.axes._subplots.AxesSubplot at 0x7eff420f1310>"
            ]
          },
          "metadata": {},
          "execution_count": 188
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "from sklearn.cluster import KMeans\n",
        "kmeans = KMeans(n_clusters=4, init='k-means++', random_state=0).fit(data)"
      ],
      "metadata": {
        "id": "u-9hBRbMd0LF"
      },
      "execution_count": 189,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "#inertia_float\n",
        "#Sum of squared distances of samples to their closest cluster center, weighted by the sample weights if provided.\n",
        "kmeans.labels_\n",
        "print(accuracy_score(y,kmeans.labels_))\n"
      ],
      "metadata": {
        "id": "Cg87TZSUeIbJ",
        "outputId": "fcb5a2b7-6d8e-41ee-daf9-19e437758ce2",
        "colab": {
          "base_uri": "https://localhost:8080/"
        }
      },
      "execution_count": 195,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "0.2553648068669528\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        ""
      ],
      "metadata": {
        "id": "V3pKdpzPfU1q"
      },
      "execution_count": null,
      "outputs": []
    }
  ]
}