iris.ipynb

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      "authorship_tag": "ABX9TyNdhYJUnMTkleYc1eJ0/naC",
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    "kernelspec": {
      "name": "python3",
      "display_name": "Python 3"
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    "language_info": {
      "name": "python"
    }
  },
  "cells": [
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "view-in-github",
        "colab_type": "text"
      },
      "source": [
        "<a href=\"https://colab.research.google.com/github/brianisinga/data-analysis-with-python/blob/main/iris.ipynb\" target=\"_parent\"><img src=\"https://colab.research.google.com/assets/colab-badge.svg\" alt=\"Open In Colab\"/></a>"
      ]
    },
    {
      "source": [
        "import pandas as pd\n",
        "import numpy as np\n",
        "import sklearn\n",
        "import matplotlib.pyplot as plt\n",
        "import sklearn.linear_model\n",
        "import sklearn.metrics\n",
        "from sklearn.model_selection import train_test_split\n",
        "from sklearn.preprocessing import StandardScaler\n",
        "from sklearn.linear_model import LinearRegression\n",
        "from sklearn.datasets import load_iris\n"
      ],
      "cell_type": "code",
      "metadata": {
        "id": "F3ov3FCKQ3xQ"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "iris_data = load_iris()"
      ],
      "metadata": {
        "id": "YZ06UWl0QDnF"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "iris_data"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "IOs7KybIRJzm",
        "outputId": "7f9831ff-42c7-40d9-d95a-89068cc19975"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
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              "        [6.2, 3.4, 5.4, 2.3],\n",
              "        [5.9, 3. , 5.1, 1.8]]),\n",
              " 'target': array([0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,\n",
              "        0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,\n",
              "        0, 0, 0, 0, 0, 0, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1,\n",
              "        1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1,\n",
              "        1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2,\n",
              "        2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2,\n",
              "        2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2]),\n",
              " 'frame': None,\n",
              " 'target_names': array(['setosa', 'versicolor', 'virginica'], dtype='<U10'),\n",
              " 'DESCR': '.. _iris_dataset:\\n\\nIris plants dataset\\n--------------------\\n\\n**Data Set Characteristics:**\\n\\n    :Number of Instances: 150 (50 in each of three classes)\\n    :Number of Attributes: 4 numeric, predictive attributes and the class\\n    :Attribute Information:\\n        - sepal length in cm\\n        - sepal width in cm\\n        - petal length in cm\\n        - petal width in cm\\n        - class:\\n                - Iris-Setosa\\n                - Iris-Versicolour\\n                - Iris-Virginica\\n                \\n    :Summary Statistics:\\n\\n    ============== ==== ==== ======= ===== ====================\\n                    Min  Max   Mean    SD   Class Correlation\\n    ============== ==== ==== ======= ===== ====================\\n    sepal length:   4.3  7.9   5.84   0.83    0.7826\\n    sepal width:    2.0  4.4   3.05   0.43   -0.4194\\n    petal length:   1.0  6.9   3.76   1.76    0.9490  (high!)\\n    petal width:    0.1  2.5   1.20   0.76    0.9565  (high!)\\n    ============== ==== ==== ======= ===== ====================\\n\\n    :Missing Attribute Values: None\\n    :Class Distribution: 33.3% for each of 3 classes.\\n    :Creator: R.A. Fisher\\n    :Donor: Michael Marshall (MARSHALL%PLU@io.arc.nasa.gov)\\n    :Date: July, 1988\\n\\nThe famous Iris database, first used by Sir R.A. Fisher. The dataset is taken\\nfrom Fisher\\'s paper. Note that it\\'s the same as in R, but not as in the UCI\\nMachine Learning Repository, which has two wrong data points.\\n\\nThis is perhaps the best known database to be found in the\\npattern recognition literature.  Fisher\\'s paper is a classic in the field and\\nis referenced frequently to this day.  (See Duda & Hart, for example.)  The\\ndata set contains 3 classes of 50 instances each, where each class refers to a\\ntype of iris plant.  One class is linearly separable from the other 2; the\\nlatter are NOT linearly separable from each other.\\n\\n.. topic:: References\\n\\n   - Fisher, R.A. \"The use of multiple measurements in taxonomic problems\"\\n     Annual Eugenics, 7, Part II, 179-188 (1936); also in \"Contributions to\\n     Mathematical Statistics\" (John Wiley, NY, 1950).\\n   - Duda, R.O., & Hart, P.E. (1973) Pattern Classification and Scene Analysis.\\n     (Q327.D83) John Wiley & Sons.  ISBN 0-471-22361-1.  See page 218.\\n   - Dasarathy, B.V. (1980) \"Nosing Around the Neighborhood: A New System\\n     Structure and Classification Rule for Recognition in Partially Exposed\\n     Environments\".  IEEE Transactions on Pattern Analysis and Machine\\n     Intelligence, Vol. PAMI-2, No. 1, 67-71.\\n   - Gates, G.W. (1972) \"The Reduced Nearest Neighbor Rule\".  IEEE Transactions\\n     on Information Theory, May 1972, 431-433.\\n   - See also: 1988 MLC Proceedings, 54-64.  Cheeseman et al\"s AUTOCLASS II\\n     conceptual clustering system finds 3 classes in the data.\\n   - Many, many more ...',\n",
              " 'feature_names': ['sepal length (cm)',\n",
              "  'sepal width (cm)',\n",
              "  'petal length (cm)',\n",
              "  'petal width (cm)'],\n",
              " 'filename': 'iris.csv',\n",
              " 'data_module': 'sklearn.datasets.data'}"
            ]
          },
          "metadata": {},
          "execution_count": 10
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "df = pd.DataFrame(data=iris_data.data, columns=iris_data.feature_names)\n",
        "df['target'] = iris_data.target\n"
      ],
      "metadata": {
        "id": "3Dd6cFFQRuyN"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "df.head()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 423
        },
        "id": "dmtFZVErR5Fo",
        "outputId": "0d77131b-7a66-4e88-b8e6-9ceb7e2be9e3"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "     sepal length (cm)  sepal width (cm)  petal length (cm)  petal width (cm)  \\\n",
              "0                  5.1               3.5                1.4               0.2   \n",
              "1                  4.9               3.0                1.4               0.2   \n",
              "2                  4.7               3.2                1.3               0.2   \n",
              "3                  4.6               3.1                1.5               0.2   \n",
              "4                  5.0               3.6                1.4               0.2   \n",
              "..                 ...               ...                ...               ...   \n",
              "145                6.7               3.0                5.2               2.3   \n",
              "146                6.3               2.5                5.0               1.9   \n",
              "147                6.5               3.0                5.2               2.0   \n",
              "148                6.2               3.4                5.4               2.3   \n",
              "149                5.9               3.0                5.1               1.8   \n",
              "\n",
              "     target  \n",
              "0         0  \n",
              "1         0  \n",
              "2         0  \n",
              "3         0  \n",
              "4         0  \n",
              "..      ...  \n",
              "145       2  \n",
              "146       2  \n",
              "147       2  \n",
              "148       2  \n",
              "149       2  \n",
              "\n",
              "[150 rows x 5 columns]"
            ],
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              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>sepal length (cm)</th>\n",
              "      <th>sepal width (cm)</th>\n",
              "      <th>petal length (cm)</th>\n",
              "      <th>petal width (cm)</th>\n",
              "      <th>target</th>\n",
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              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>5.1</td>\n",
              "      <td>3.5</td>\n",
              "      <td>1.4</td>\n",
              "      <td>0.2</td>\n",
              "      <td>0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>4.9</td>\n",
              "      <td>3.0</td>\n",
              "      <td>1.4</td>\n",
              "      <td>0.2</td>\n",
              "      <td>0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>4.7</td>\n",
              "      <td>3.2</td>\n",
              "      <td>1.3</td>\n",
              "      <td>0.2</td>\n",
              "      <td>0</td>\n",
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              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>4.6</td>\n",
              "      <td>3.1</td>\n",
              "      <td>1.5</td>\n",
              "      <td>0.2</td>\n",
              "      <td>0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>5.0</td>\n",
              "      <td>3.6</td>\n",
              "      <td>1.4</td>\n",
              "      <td>0.2</td>\n",
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              "    <tr>\n",
              "      <th>145</th>\n",
              "      <td>6.7</td>\n",
              "      <td>3.0</td>\n",
              "      <td>5.2</td>\n",
              "      <td>2.3</td>\n",
              "      <td>2</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>146</th>\n",
              "      <td>6.3</td>\n",
              "      <td>2.5</td>\n",
              "      <td>5.0</td>\n",
              "      <td>1.9</td>\n",
              "      <td>2</td>\n",
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              "    <tr>\n",
              "      <th>147</th>\n",
              "      <td>6.5</td>\n",
              "      <td>3.0</td>\n",
              "      <td>5.2</td>\n",
              "      <td>2.0</td>\n",
              "      <td>2</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>148</th>\n",
              "      <td>6.2</td>\n",
              "      <td>3.4</td>\n",
              "      <td>5.4</td>\n",
              "      <td>2.3</td>\n",
              "      <td>2</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>149</th>\n",
              "      <td>5.9</td>\n",
              "      <td>3.0</td>\n",
              "      <td>5.1</td>\n",
              "      <td>1.8</td>\n",
              "      <td>2</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "<p>150 rows × 5 columns</p>\n",
              "</div>\n",
              "    <div class=\"colab-df-buttons\">\n",
              "\n",
              "  <div class=\"colab-df-container\">\n",
              "    <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-1814c46d-9c3a-4857-898e-e598e7883fc8')\"\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 -960 960 960\">\n",
              "    <path d=\"M120-120v-720h720v720H120Zm60-500h600v-160H180v160Zm220 220h160v-160H400v160Zm0 220h160v-160H400v160ZM180-400h160v-160H180v160Zm440 0h160v-160H620v160ZM180-180h160v-160H180v160Zm440 0h160v-160H620v160Z\"/>\n",
              "  </svg>\n",
              "    </button>\n",
              "\n",
              "  <style>\n",
              "    .colab-df-container {\n",
              "      display:flex;\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",
              "    .colab-df-buttons div {\n",
              "      margin-bottom: 4px;\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-1814c46d-9c3a-4857-898e-e598e7883fc8 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-1814c46d-9c3a-4857-898e-e598e7883fc8');\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",
              "\n",
              "\n",
              "<div id=\"df-a61438f2-3b2d-4fd2-aa9e-1f4e4a10de91\">\n",
              "  <button class=\"colab-df-quickchart\" onclick=\"quickchart('df-a61438f2-3b2d-4fd2-aa9e-1f4e4a10de91')\"\n",
              "            title=\"Suggest charts\"\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",
              "    <g>\n",
              "        <path d=\"M19 3H5c-1.1 0-2 .9-2 2v14c0 1.1.9 2 2 2h14c1.1 0 2-.9 2-2V5c0-1.1-.9-2-2-2zM9 17H7v-7h2v7zm4 0h-2V7h2v10zm4 0h-2v-4h2v4z\"/>\n",
              "    </g>\n",
              "</svg>\n",
              "  </button>\n",
              "\n",
              "<style>\n",
              "  .colab-df-quickchart {\n",
              "      --bg-color: #E8F0FE;\n",
              "      --fill-color: #1967D2;\n",
              "      --hover-bg-color: #E2EBFA;\n",
              "      --hover-fill-color: #174EA6;\n",
              "      --disabled-fill-color: #AAA;\n",
              "      --disabled-bg-color: #DDD;\n",
              "  }\n",
              "\n",
              "  [theme=dark] .colab-df-quickchart {\n",
              "      --bg-color: #3B4455;\n",
              "      --fill-color: #D2E3FC;\n",
              "      --hover-bg-color: #434B5C;\n",
              "      --hover-fill-color: #FFFFFF;\n",
              "      --disabled-bg-color: #3B4455;\n",
              "      --disabled-fill-color: #666;\n",
              "  }\n",
              "\n",
              "  .colab-df-quickchart {\n",
              "    background-color: var(--bg-color);\n",
              "    border: none;\n",
              "    border-radius: 50%;\n",
              "    cursor: pointer;\n",
              "    display: none;\n",
              "    fill: var(--fill-color);\n",
              "    height: 32px;\n",
              "    padding: 0;\n",
              "    width: 32px;\n",
              "  }\n",
              "\n",
              "  .colab-df-quickchart:hover {\n",
              "    background-color: var(--hover-bg-color);\n",
              "    box-shadow: 0 1px 2px rgba(60, 64, 67, 0.3), 0 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
              "    fill: var(--button-hover-fill-color);\n",
              "  }\n",
              "\n",
              "  .colab-df-quickchart-complete:disabled,\n",
              "  .colab-df-quickchart-complete:disabled:hover {\n",
              "    background-color: var(--disabled-bg-color);\n",
              "    fill: var(--disabled-fill-color);\n",
              "    box-shadow: none;\n",
              "  }\n",
              "\n",
              "  .colab-df-spinner {\n",
              "    border: 2px solid var(--fill-color);\n",
              "    border-color: transparent;\n",
              "    border-bottom-color: var(--fill-color);\n",
              "    animation:\n",
              "      spin 1s steps(1) infinite;\n",
              "  }\n",
              "\n",
              "  @keyframes spin {\n",
              "    0% {\n",
              "      border-color: transparent;\n",
              "      border-bottom-color: var(--fill-color);\n",
              "      border-left-color: var(--fill-color);\n",
              "    }\n",
              "    20% {\n",
              "      border-color: transparent;\n",
              "      border-left-color: var(--fill-color);\n",
              "      border-top-color: var(--fill-color);\n",
              "    }\n",
              "    30% {\n",
              "      border-color: transparent;\n",
              "      border-left-color: var(--fill-color);\n",
              "      border-top-color: var(--fill-color);\n",
              "      border-right-color: var(--fill-color);\n",
              "    }\n",
              "    40% {\n",
              "      border-color: transparent;\n",
              "      border-right-color: var(--fill-color);\n",
              "      border-top-color: var(--fill-color);\n",
              "    }\n",
              "    60% {\n",
              "      border-color: transparent;\n",
              "      border-right-color: var(--fill-color);\n",
              "    }\n",
              "    80% {\n",
              "      border-color: transparent;\n",
              "      border-right-color: var(--fill-color);\n",
              "      border-bottom-color: var(--fill-color);\n",
              "    }\n",
              "    90% {\n",
              "      border-color: transparent;\n",
              "      border-bottom-color: var(--fill-color);\n",
              "    }\n",
              "  }\n",
              "</style>\n",
              "\n",
              "  <script>\n",
              "    async function quickchart(key) {\n",
              "      const quickchartButtonEl =\n",
              "        document.querySelector('#' + key + ' button');\n",
              "      quickchartButtonEl.disabled = true;  // To prevent multiple clicks.\n",
              "      quickchartButtonEl.classList.add('colab-df-spinner');\n",
              "      try {\n",
              "        const charts = await google.colab.kernel.invokeFunction(\n",
              "            'suggestCharts', [key], {});\n",
              "      } catch (error) {\n",
              "        console.error('Error during call to suggestCharts:', error);\n",
              "      }\n",
              "      quickchartButtonEl.classList.remove('colab-df-spinner');\n",
              "      quickchartButtonEl.classList.add('colab-df-quickchart-complete');\n",
              "    }\n",
              "    (() => {\n",
              "      let quickchartButtonEl =\n",
              "        document.querySelector('#df-a61438f2-3b2d-4fd2-aa9e-1f4e4a10de91 button');\n",
              "      quickchartButtonEl.style.display =\n",
              "        google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "    })();\n",
              "  </script>\n",
              "</div>\n",
              "\n",
              "    </div>\n",
              "  </div>\n"
            ],
            "application/vnd.google.colaboratory.intrinsic+json": {
              "type": "dataframe",
              "variable_name": "df",
              "summary": "{\n  \"name\": \"df\",\n  \"rows\": 150,\n  \"fields\": [\n    {\n      \"column\": \"sepal length (cm)\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 0.828066127977863,\n        \"min\": 4.3,\n        \"max\": 7.9,\n        \"num_unique_values\": 35,\n        \"samples\": [\n          6.2,\n          4.5,\n          5.6\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"sepal width (cm)\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 0.4358662849366982,\n        \"min\": 2.0,\n        \"max\": 4.4,\n        \"num_unique_values\": 23,\n        \"samples\": [\n          2.3,\n          4.0,\n          3.5\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"petal length (cm)\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 1.7652982332594662,\n        \"min\": 1.0,\n        \"max\": 6.9,\n        \"num_unique_values\": 43,\n        \"samples\": [\n          6.7,\n          3.8,\n          3.7\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"petal width (cm)\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 0.7622376689603465,\n        \"min\": 0.1,\n        \"max\": 2.5,\n        \"num_unique_values\": 22,\n        \"samples\": [\n          0.2,\n          1.2,\n          1.3\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"target\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 0,\n        \"min\": 0,\n        \"max\": 2,\n        \"num_unique_values\": 3,\n        \"samples\": [\n          0,\n          1,\n          2\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    }\n  ]\n}"
            }
          },
          "metadata": {},
          "execution_count": 22
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "import seaborn as sns\n",
        "\n",
        "\n",
        "# Pairplot to see the distribution of features and relationships between them\n",
        "sns.pairplot(df, hue='target')\n",
        "plt.show()\n",
        "\n",
        "# Boxplot to see the distribution of each feature\n",
        "plt.figure(figsize=(10, 6))\n",
        "sns.boxplot(data=df)\n",
        "plt.show()\n",
        "\n",
        "# Correlation heatmap\n",
        "plt.figure(figsize=(8, 6))\n",
        "sns.heatmap(df.corr(), annot=True, cmap='coolwarm')\n",
        "plt.show()\n"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 1000
        },
        "id": "rO0PXA3QR6tj",
        "outputId": "e8c182b6-ba77-4778-abe2-3fd994222096"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 1058.88x1000 with 20 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {}
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 1000x600 with 1 Axes>"
            ],
            "image/png": 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pUgEAQBgjtABhrKioSDt37tQ111yjRo38dweNGjXS8OHDtWPHDhUVFTlUIQAAAKEFCGslJSWSpA4dOhzx9Y4dO/otBwAA4ARCCxDGEhISJElbt2494utbtmzxWw4AAMAJPD0MCGMZGRlKSkrSzJkzNXXqVL9bxKqqqjRr1iwlJycrIyPDwSrDRJnTBSAkeJ8BoE4ILUAYi4iIUHZ2tiZOnKjx48dr+PDh6tixo7Zs2aJZs2ZpyZIlmjx5Mt/XEgIRn/A3BgCgNoQWIMxlZWVp8uTJysvL06hRo3zzk5OTNXnyZL6nJUQqz6qUYp2uAkFXRkAFgLogtByj8vJyFRcXO9J2dbtOtS9JHo9HUVFRjrWP4MrKytK5556roqIilZSUKCEhQRkZGVxhCaVYSS2cLgIAADsRWo5RcXGxRo4c6WgNOTk5jrVdUFCgtLQ0x9oHAABA+CK0HCOPx6OCggKny3CMx+NxugQEUWFhofLy8rRz507fvKSkJGVnZ3N7GAAAcByh5RhFRUVxpQEnpMLCQk2cOFGZmZm699571aFDB23dulUzZ87UxIkTGdcCAAAcx/e0AGGssrJSeXl5yszM1NSpU5Wenq6mTZsqPT1dU6dOVWZmph5//HFVVlY6XSoAAAhjhBYgjBUVFWnnzp265ppr/L6jRZIaNWqk4cOHa8eOHSoqKnKoQgAAAG4PA8JaSUmJJKlDhw6qrKys8fSwjh07+i0HAADgBEILEMYSEhIkSa+++qrmzZtXYyD+oEGD/JYDAABwAqEFCGMZGRmKj4/XU089VWMg/vPPP6+CggK1aNFCGRkZTpcKAADCGGNaAEiSXC6XjDGSJGOMXC6X7/8BAACcxJUWIIwVFRWptLRUN998s+bNm6dRo0b5XktOTtbIkSNVUFCgoqIi9ejRw8FKAQBAOCO0AGGseoD9kCFDNHTo0BoD8b1erwoKChiIDwAAHEVoAcJY9QD7rVu3Kj09vcbVlC1btvgtBwAA4ITjGtMybdo0uVwu3X777fVUDoBQysjIUFJSkmbOnKmqqiq/16qqqjRr1iwlJyczEB8AADiqzqFl2bJlevLJJzmZARqwiIgIZWdna8mSJRo/frxWr16tgwcPavXq1Ro/fryWLFmiUaNGKSIiwulSAQBAGKvT7WH79+/XsGHDVFBQoJycnPquCUAIZWVlafLkycrLy6sxEH/y5MnKyspysDoAAIA6hpbs7GxdfPHF6t+//6+GFq/XK6/X65suKyurS5NA2CgvL1dxcXFI20xKStKkSZO0ceNGlZaWKj4+XieffLIaNWqk9evXh7QWj8ejqKiokLYJAADsFnBomTNnjj799FMtW7bsmJbPzc3VpEmTAi4MCFfFxcUaOXKk02U4pqCgQGlpaU6XAQAALBJQaNm+fbtuu+02vffee8f8Sei4ceM0evRo33RZWZlSUlICqxIIIx6PRwUFBY60XVxcrJycHE2YMEEej8eRGpxqFwAA2Cug0LJixQrt3r1bPXv29M2rrKzUokWL9M9//lNer7fGgF232y23210/1QJhICoqyvErDR6Px/EaAAAAqgUUWi644AKtWrXKb97111+vLl26aOzYsTxhCAAAAEC9Cyi0xMTE6LTTTvOb16xZMyUkJNSYDwAAAAD14bi+XBIAAAAAgq1Ojzw+3MKFC+uhDAAAAAA4Mq60AAAAALAaoQUAAACA1QgtAAAAAKxGaAEAAABgNUILAAAAAKsRWgAAAABYjdACAAAAwGqEFgAAAABWI7QAAAAAsBqhBQAAAIDVCC0AAAAArEZoAQAAAGA1QgsAAAAAqxFaAAAAAFiN0AIAAADAaoQWAAAAAFYjtAAAAACwGqEFAAAAgNUILQAAAACsRmgBAAAAYDVCCwAAAACrEVoAAAAAWI3QAgAAAMBqhBYAAAAAViO0AAAAALAaoQUAAACA1QgtAAAAAKxGaAEAAABgNUILAAAAAKs1droAwFa7du1SaWmp02WEVHFxsd9/w0l8fLwSExOdLgMAABwBoQU4gl27dmn4sGHyVlQ4XYojcnJynC4h5NyRkZo1ezbBBQAACxFagCMoLS2Vt6JCf0o/oLbNKp0uB0H2zYEI5a/56X0ntAAAYB9CC3AUbZtVqkMsoQUAAMBJDMQHAAAAYDVCCwAAAACrEVoAAAAAWI3QAgAAAMBqhBYAAAAAViO0AAAAALAaoQUAAACA1QgtAAAAAKxGaAEAAABgtYBCS35+vjIyMhQbG6vY2FhlZmbq7bffDlZtAAAAABBYaGnXrp2mTZumFStWaPny5frNb36jwYMHa82aNcGqDwAAAECYaxzIwoMGDfKbnjJlivLz87V06VKlp6fXa2EAAAAAIAUYWg5XWVmpf//73zpw4IAyMzNrXc7r9crr9fqmy8rK6tokEHLfHGDYVzjgfQYAwG4Bh5ZVq1YpMzNT5eXlat68uebOnatTTz211uVzc3M1adKk4yoScEr+muZOlwAAABD2Ag4taWlp+vzzz7V37169/PLLGjFihAoLC2sNLuPGjdPo0aN902VlZUpJSal7xUAI/Sl9v9o2q3K6DATZNwcaEVABALBYwKElMjJSnTt3liSdccYZWrZsmR599FE9+eSTR1ze7XbL7XYfX5WAQ9o2q1KH2EqnywAAAAhrx30jd1VVld+YFQAAAACoTwFdaRk3bpwGDhyo9u3ba9++fXrhhRe0cOFCzZ8/P1j1AQAAAAhzAYWW3bt369prr9WOHTsUFxenjIwMzZ8/XxdeeGGw6gMAAAAQ5gIKLc8880yw6gAAAACAI+LLCQAAAABYjdACAAAAwGoBP/IYCCffHIhwugSEAO8zAAB2I7QARxAfHy93ZKTy1zhdCULFHRmp+Ph4p8sAAABHQGgBjiAxMVGzZs9WaWmp06WEVHFxsXJycjRhwgR5PB6nywmp+Ph4JSYmOl0GAAA4AkILUIvExMSwPYn1eDxKS0tzugwAAABJDMQHAAAAYDlCCwAAAACrEVoAAAAAWI3QAgAAAMBqhBYAAAAAViO0AAAAALAaoQUAAACA1QgtAAAAAKxGaAEAAABgNUILAAAAAKsRWgAAAABYjdACAAAAwGqNnS4AAACc2MrLy1VcXOx0GY7xeDyKiopyugygQSO0AACAoCouLtbIkSOdLsMxBQUFSktLc7oMoEEjtAAAgKDyeDwqKChwpO3i4mLl5ORowoQJ8ng8jtTgVLvAiYTQAgAAgioqKsrxKw0ej8fxGgDUHQPxAQAAAFiN0AIAAADAaoQWAAAAAFYjtAAAAACwGqEFAAAAgNUILQAAAACsRmgBAAAAYDVCCwAAAACrEVoAAAAAWI3QAgAAAMBqhBYAAAAAViO0AAAAALBaY6cLAOCvvLxcxcXFjrRd3a5T7UuSx+NRVFSUY+0DAAD7EFoAyxQXF2vkyJGO1pCTk+NY2wUFBUpLS3OsfQAAYB9CC2AZj8ejgoICp8twjMfjcboEAABgGUILYJmoqCiuNAAAAByGgfgAAAAArEZoAQAAAGA1QgsAAAAAqzGmBYAkqbKyUkVFRSopKVFCQoIyMjIUERHhdFkAAACBhZbc3Fy9+uqrWrdunaKjo9WnTx898MADDBoGGrjCwkLl5eVp586dvnlJSUnKzs5WVlaWg5UBAAAEeHtYYWGhsrOztXTpUr333nv68ccfddFFF+nAgQPBqg9AkBUWFmrixInq2LGj8vPz9c477yg/P18dO3bUxIkTVVhY6HSJAAAgzAV0peWdd97xm54xY4batGmjFStW6LzzzqvXwgAEX2VlpfLy8pSZmampU6eqUaOfPsdIT0/X1KlTNX78eD3++OM699xzuVUMAAA45rjGtOzdu1eS1LJly1qX8Xq98nq9vumysrLjaRJAPSoqKtLOnTt17733+gJLtUaNGmn48OEaNWqUioqK1KNHD4eqBAA0NLt27VJpaWnI2/V6vX63OoebpKQkud3ukLcbHx+vxMTEoLZR59BSVVWl22+/Xeecc45OO+20WpfLzc3VpEmT6toMgCAqKSmRJHXo0OGIr3fs2NFvOQAAfs2uXbs0fNhweSu8v74wTgjuSLdmzZ4V1OBS59CSnZ2t1atXa/HixUddbty4cRo9erRvuqysTCkpKXVtFkA9SkhIkCRt3bpV6enpNV7fsmWL33IAAPya0tJSeSu86t3xYsVGhfb4UVl1SAe8e0Papk2aueMU0Si0DwcuKy/Rx1v+o9LSUvtCyy233KI333xTixYtUrt27Y66rNvtduQyFYBfl5GRoaSkJM2cOdNvTIv009XUWbNmKTk5WRkZGQ5WCQBoiGKjEtSiWXBvGTqSVjEnhbxNBF9ATw8zxuiWW27R3Llz9d///rfWW0oANAwRERHKzs7WkiVLNH78eK1evVoHDx7U6tWrNX78eC1ZskSjRo1iED4AAHBUQFdasrOz9cILL+j1119XTEyMb6BTXFycoqOjg1IggODKysrS5MmTlZeXp1GjRvnmJycna/LkyXxPCwAAcFxAoSU/P1+S1K9fP7/506dP13XXXVdfNQEIsaysLJ177rkqKipSSUmJEhISlJGRwRUWAABghYBCizEmWHUAcFhERASPNQYAAFYKaEwLAAAAAIQaoQUAAACA1QgtAAAAAKwW2m+fAQAAjtm1a5dKS0udLiOkiouL/f4bTuLj44P6ZX9AKBFaAAAIA7t27dLwYcPkrahwuhRH5OTkOF1CyLkjIzVr9myCC04IhBYAAMJAaWmpvBUVulxSa6eLQdB9K+nligqVlpYSWnBCILQAABBGWktqK5fTZSDo+JoKnFgYiA8AAADAaoQWAAAAAFYjtAAAAACwGqEFAAAAgNUILQAAAACsRmgBAAAAYDUeeQwAFnCVuWR4ROkJz1XGo4YBoC4ILQDgoPj4eEW6I1XxSXh+S3k4inRHKj4+3ukyAKBBIbQAgIMSExM1e9ZslZaWOl1KSBUXFysnJ0cTJkyQx+NxupyQio+P5xvKASBAhBYAcFhiYmLYnsR6PB6lpaU5XQYAwHIMxAcAAABgNUILAAAAAKsRWgAAAABYjdACAAAAwGqEFgAAAABWI7QAAAAAsBqhBQAAAIDVCC0AAAAArEZoAQAAAGA1QgsAAAAAqxFaAAAAAFiN0AIAAADAao2dLgAAAITOt5Ik43AVCLZvnS4AqGeEFgAAwsjLThcAAHVAaAEAIIxcLqm100Ug6L4VARUnFkILAABhpLWktnI5XQaCjlsAcWJhID4AAAAAqxFaAAAAAFiN0AIAAADAaoQWAAAAAFYjtAAAAACwGqEFAAAAgNUILQAAAACsRmgBAAAAYDVCCwAAAACrBRxaFi1apEGDBqlt27ZyuVx67bXXglAWAAAAAPwk4NBy4MABnX766crLywtGPQAAAADgp3GgKwwcOFADBw4MRi0AAAAAUEPAoSVQXq9XXq/XN11WVhbsJgEAx6C8vFzFxcWOtF3drlPtS5LH41FUVJRj7QMnurIfSpwuASEQqvc56KElNzdXkyZNCnYzAIAAFRcXa+TIkY7WkJOT41jbBQUFSktLc6x94ET38db/OF0CTiBBDy3jxo3T6NGjfdNlZWVKSUkJdrMAgF/h8XhUUFDgdBmO8Xg8TpcAnNB6d7hYsdEJTpeBICv7oSQkATXoocXtdsvtdge7GQBAgKKiorjSACBoYqMT1KJZotNl4ATB97QAAAAAsFrAV1r279+vTZs2+aa3bt2qzz//XC1btlT79u3rtTgAAAAACDi0LF++XOeff75vunq8yogRIzRjxox6KwwAAAAApDqEln79+skYE4xaAAAAAKAGxrQAAAAAsBqhBQAAAIDVCC0AAAAArEZoAQAAAGA1QgsAAAAAqxFaAAAAAFiN0AIAAADAaoQWAAAAAFYjtAAAAACwGqEFAAAAgNUILQAAAACsRmgBAAAAYDVCCwAAAACrEVoAAAAAWI3QAgAAAMBqhBYAAAAAViO0AAAAALAaoQUAAACA1QgtAAAAAKxGaAEAAABgNUILAAAAAKsRWgAAAABYjdACAAAAwGqEFgAAAABWI7QAAAAAsBqhBQAAAIDVCC0AAAAArEZoAQAAAGA1QgsAAAAAqzV2ugAAABA630qSjMNVINi+dboAoJ4RWgAACAPx8fFyR0bq5YoKp0tBiLgjIxUfH+90GUC9ILQAABAGEhMTNWv2bJWWljpdSkgVFxcrJydHEyZMkMfjcbqckIqPj1diYqLTZQD1gtACAECYSExMDNuTWI/Ho7S0NKfLAFBHDMQHAAAAYDVCCwAAAACrEVoAAAAAWI3QAgAAAMBqhBYAAAAAViO0AAAAALAaoQUAAACA1fieFgAAEFTl5eUqLi52pO3qdp1qX/rpO2KioqIcax84ERBaAABAUBUXF2vkyJGO1pCTk+NY2wUFBXyxJXCc6hRa8vLy9OCDD2rnzp06/fTT9dhjj+mss86q79oAAMAJwOPxqKCgwOkyHOPxeJwuAWjwAg4t//rXvzR69Gg98cQT6t27tx555BENGDBA69evV5s2bYJRIwAAaMCioqK40gDguAQ8EP/hhx/WyJEjdf311+vUU0/VE088oaZNm+rZZ58NRn0AAAAAwlxAV1oqKiq0YsUKjRs3zjevUaNG6t+/v5YsWXLEdbxer7xer2+6rKysjqUCAACgoSgrLwl5m5VVh3TAuzfk7dqimTtOEY1CO2Q9VO9zQL/Vd999p8rKSiUmJvrNT0xM1Lp16464Tm5uriZNmlT3CgEAANBgxMfHyx3p1sdb/uN0KQgRd6Rb8fHxQW0j6FFs3LhxGj16tG+6rKxMKSkpwW4WAAAADkhMTNSs2bNUWloa8ra9Xq927twZ8nZtkZSUJLfbHfJ24+Pja1zUqG8BhZZWrVopIiJCu3bt8pu/a9cuJSUlHXEdt9vtyB8PAAAAzkhMTAz6SWxtMjIyHGkXwRXQQPzIyEidccYZWrBggW9eVVWVFixYoMzMzHovDgAAAAACvj1s9OjRGjFihHr16qWzzjpLjzzyiA4cOKDrr78+GPUBAAAACHMBh5arrrpK3377rSZOnKidO3eqe/fueueddxy7BAgAAADgxOYyxphQNlhWVqa4uDjt3btXsbGxoWwaAAAAgEWONRsE/OWSAAAAABBKhBYAAAAAViO0AAAAALAaoQUAAACA1QgtAAAAAKxGaAEAAABgNUILAAAAAKsRWgAAAABYjdACAAAAwGqEFgAAAABWI7QAAAAAsBqhBQAAAIDVCC0AAAAArNY41A0aYyRJZWVloW4aAAAAgEWqM0F1RqhNyEPLvn37JEkpKSmhbhoAAACAhfbt26e4uLhaX3eZX4s19ayqqkrffPONYmJi5HK5Qtl0g1VWVqaUlBRt375dsbGxTpeDExh9DaFCX0Oo0NcQKvS1ujHGaN++fWrbtq0aNap95ErIr7Q0atRI7dq1C3WzJ4TY2Fj+ESAk6GsIFfoaQoW+hlChrwXuaFdYqjEQHwAAAIDVCC0AAAAArEZoaQDcbrfuvfdeud1up0vBCY6+hlChryFU6GsIFfpacIV8ID4AAAAABIIrLQAAAACsRmgBAAAAYDVCCwAAAACrEVoAAAAAWI3Qchyuu+46XXrppbW+PmPGDMXHx4esnl+TmpqqRx55JOD1SkpK1KZNG3355Zf1XlO17777Tm3atNFXX30VtDZOFL/W7wLlcrn02muv1fr6l19+KZfLpc8///yo2+nXr59uv/32gNuvqKhQ586d9dFHHwW8biBtpKamavny5UFr40SwcOFCuVwulZaW1rrMr/WXULrvvvvUvXv3Oq17zTXXaOrUqfVb0C/8/ve/10MPPRTUNk4Ex9LvAnEs+8hj2V8dzzH8nnvu0c0331yndY/VX/7yF/3f//1fUNsAbEJoOQHVd1iaMmWKBg8erNTU1Hrb5i+1atVK1157re69996gtYEj27FjhwYOHHjMy9f3CcYTTzyhDh06qE+fPvWyvSOJjIzUmDFjNHbs2KC1YRPbPjCpD/UZllauXKm33npLt956a71srzYTJkzQlClTtHfv3qC2Ywtb+t2jjz6qGTNmBLROXT/UO5KdO3fq0Ucf1d13310v26vNmDFj9Nxzz2nLli1BbedEV9cP3ILFtnpsQmjBUR08eFDPPPOMbrzxxqC3df3112v27Nn6/vvvg94WfpaUlOTYM+WNMfrnP/8Zkv41bNgwLV68WGvWrAl6W7DbY489piuuuELNmzcPajunnXaaOnXqpFmzZgW1HfiLi4tzNDw9/fTT6tOnjzweT1DbadWqlQYMGKD8/PygtoNfV1FR4XQJYaHBhpaXX35Z3bp1U3R0tBISEtS/f38dOHDA9/rTTz+trl27KioqSl26dNHjjz/ue636dpc5c+aoT58+ioqK0mmnnabCwkLfMpWVlbrxxhvVoUMHRUdHKy0tTY8++uhx1/3666+rZ8+eioqKUseOHTVp0iQdOnTI97rL5dLTTz+tyy67TE2bNtXJJ5+sefPm+W1j3rx5OvnkkxUVFaXzzz9fzz33nO+T74ULF+r666/X3r175XK55HK5dN999/nWPXjwoG644QbFxMSoffv2euqpp45a71tvvSW3262zzz7bb/6aNWt0ySWXKDY2VjExMerbt682b94s6edL81OnTlViYqLi4+M1efJkHTp0SH/+85/VsmVLtWvXTtOnT/fbZnp6utq2bau5c+fW5U8bErb3O2OMWrdurZdfftk3r3v37kpOTvZNL168WG63WwcPHpRU8xPsTz75RD169FBUVJR69eqlzz77zO93OP/88yVJLVq0kMvl0nXXXed7vaqqSnfddZdatmyppKQkv753JCtWrNDmzZt18cUX+83/6quvNHToULVs2VLNmjVTr1699PHHH0v6+ZagZ599Vu3bt1fz5s01atQoVVZW6q9//auSkpLUpk0bTZkyxW+bLVq00DnnnKM5c+b8+h/SQf369dMtt9yiW265RXFxcWrVqpXuueceHf6VWl6vV2PGjNFJJ52kZs2aqXfv3lq4cKEkHXUfMHPmTPXq1UsxMTFKSkrS1Vdfrd27dx9Xvdu3b9eVV16p+Ph4tWzZUoMHD/a7lbR6f/C3v/1NycnJSkhIUHZ2tn788UffMjt27NDFF1+s6OhodejQQS+88ILfJ9/VV3kvu+wyuVyuGld9Z86cqdTUVMXFxen3v/+99u3bV2u9lZWVevnllzVo0CC/+V6vV2PHjlVKSorcbrc6d+6sZ555RtLPVxfnz5+vHj16KDo6Wr/5zW+0e/duvf322+ratatiY2N19dVX+/5dVRs0aJD1fU6yu9+NGTNGl1xyiW/6kUcekcvl0jvvvOOb17lzZz399NOSat4eduDAAV177bVq3ry5kpOTa9yy169fPxUXF+uOO+7w1X64+fPnq2vXrmrevLl++9vfaseOHUetd86cOTX6V1VVlf7617+qc+fOcrvdat++vW8fVX1seOmll9S3b19FR0frzDPP1IYNG7Rs2TL16tVLzZs318CBA/Xtt9/6bbeh9C9bXXfddSosLNSjjz7qe+83b978q8fh6j42ZcoUtW3bVmlpaZKkjz76SN27d/cdP1977bUat1evXr1aAwcOVPPmzZWYmKhrrrlG3333Xa31BPPW/AbHNEDffPONady4sXn44YfN1q1bTVFRkcnLyzP79u0zxhgza9Ysk5ycbF555RWzZcsW88orr5iWLVuaGTNmGGOM2bp1q5Fk2rVrZ15++WXzxRdfmJtuusnExMSY7777zhhjTEVFhZk4caJZtmyZ2bJli5k1a5Zp2rSp+de//uWrY8SIEWbw4MG11jl9+nQTFxfnm160aJGJjY01M2bMMJs3bzbvvvuuSU1NNffdd59vmeq6XnjhBbNx40Zz6623mubNm5uSkhJjjDFbtmwxTZo0MWPGjDHr1q0zL774ojnppJOMJLNnzx7j9XrNI488YmJjY82OHTvMjh07fH8Xj8djWrZsafLy8szGjRtNbm6uadSokVm3bl2tv8Ott95qfvvb3/rN++qrr0zLli3NkCFDzLJly8z69evNs88+69vOiBEjTExMjMnOzjbr1q0zzzzzjJFkBgwYYKZMmWI2bNhg7r//ftOkSROzfft2v21fddVVZsSIEbXW46SG0u+GDBlisrOzjTHGfP/99yYyMtLExcWZtWvXGmOMycnJMeecc45veUlm7ty5xhhj9u3bZ1q3bm2uvvpqs3r1avPGG2+Yjh07Gknms88+M4cOHTKvvPKKkWTWr19vduzYYUpLS40xxmRlZZnY2Fhz3333mQ0bNpjnnnvOuFwu8+6779Za68MPP2y6dOniN2/fvn2mY8eOpm/fvuaDDz4wGzduNP/617/MRx99ZIwx5t577zXNmzc3l19+uVmzZo2ZN2+eiYyMNAMGDDD/93//Z9atW2eeffZZI8ksXbrUb9tjx441WVlZtdZjg6ysLNO8eXNz2223mXXr1vn6wFNPPeVb5qabbjJ9+vQxixYtMps2bTIPPvigcbvdZsOGDUfdBzzzzDPmrbfeMps3bzZLliwxmZmZZuDAgb7t/u9///PtS2pzeH+pqKgwXbt2NTfccIMpKioyX3zxhbn66qtNWlqa8Xq9xpif+mtsbKz54x//aNauXWveeOONGr9P//79Tffu3c3SpUvNihUrTFZWlomOjjZ///vfjTHG7N6920gy06dPNzt27DC7d+82xvzcF4YMGWJWrVplFi1aZJKSksz48eNrrf/TTz81kszOnTv95l955ZUmJSXFvPrqq2bz5s3m/fffN3PmzPH7u5x99tlm8eLF5tNPPzWdO3c2WVlZ5qKLLjKffvqpWbRokUlISDDTpk3z2+7bb79tIiMjTXl5ea012cDmfjdv3jwTFxdnDh06ZIwx5tJLLzWtWrUyY8eONcb8dEySZDZu3GiMqbmP/NOf/mTat29v3n//fVNUVGQuueQSExMTY2677TZjjDElJSWmXbt2ZvLkyb7ajfnpGN6kSRPTv39/s2zZMrNixQrTtWtXc/XVV9f6dywpKTEul6vGvueuu+4yLVq0MDNmzDCbNm0yH3zwgSkoKDDG/Hxs6NKli3nnnXfMF198Yc4++2xzxhlnmH79+vn1uT/+8Y9+2127dq2RZLZu3VprTahdaWmpyczMNCNHjvS99+Xl5cd0HG7evLm55pprzOrVq83q1avN3r17TcuWLc3w4cPNmjVrzFtvvWVOOeUU3/HTGGP27NljWrdubcaNG2fWrl1rPv30U3PhhRea888/v9Z6qvs9jGmQoWXFihVGkvnyyy+P+HqnTp3MCy+84Dfv/vvvN5mZmcaYn3cQhx9cfvzxR9OuXTvzwAMP1Npudna2+X//7//5pgMNLRdccIGZOnWq3zIzZ840ycnJvmlJZsKECb7p/fv3G0nm7bffNsb8dNJ12mmn+W3j7rvv9tvh/7Ldah6PxwwfPtw3XVVVZdq0aWPy8/Nr/R0GDx5sbrjhBr9548aNMx06dDAVFRVHXGfEiBHG4/GYyspK37y0tDTTt29f3/ShQ4dMs2bNzIsvvui37h133GH69etXaz1Oaij97h//+IdJT083xhjz2muvmd69e5vBgwf73uf+/fv7ndQdfhL65JNPmoSEBPPDDz/4Xs/Pz/fb6dZ2gpGVlWXOPfdcv3lnnnmm78TiSG677Tbzm9/8xm/ek08+aWJiYnxB/Zfuvfde07RpU1NWVuabN2DAAJOamlqjz+Xm5vqt++ijj5rU1NRa67FBVlaW6dq1q6mqqvLNGzt2rOnatasxxpji4mITERFhvv76a7/1LrjgAjNu3DhjTO37gF9atmyZkeQ7uQw0tMycOdOkpaX51er1ek10dLSZP3++Mebn/cHhB94rrrjCXHXVVcaYn0+6li1b5nt948aNRpIvtPyy3WpH6gt//vOfTe/evWutf+7cuSYiIsKv5vXr1xtJ5r333jviOtV/l/fff983Lzc310gymzdv9s37wx/+YAYMGOC37sqVK4+637CFzf1uz549plGjRmbZsmWmqqrKtGzZ0uTm5vre51mzZpmTTjrJt/zh+8h9+/aZyMhI89JLL/leLykpMdHR0b7QYsxPx8fD+1v17yPJbNq0yTcvLy/PJCYm1vq7ffbZZ0aS2bZtm29eWVmZcbvdvpDyS9XHhqeffto378UXXzSSzIIFC3zzcnNzTVpamt+6e/fuNZLMwoULa60JR5eVleXXF47kSMfhxMRE34czxvx0rPzl8bOgoMDv+Hn//febiy66yG/b27dv930QeKz1hKvG9X/tJvhOP/10XXDBBerWrZsGDBigiy66SJdffrlatGihAwcO+C7tjRw50rfOoUOHFBcX57edzMxM3/83btxYvXr10tq1a33z8vLy9Oyzz2rbtm364YcfVFFRUecn1Ug/Df788MMP/W5bqaysVHl5uQ4ePKimTZtKkjIyMnyvN2vWTLGxsb5L6evXr9eZZ57pt92zzjrrmGs4fNsul0tJSUlHvUz/ww8/KCoqym/e559/rr59+6pJkya1rpeenq5GjX6++zAxMVGnnXaabzoiIkIJCQk12o6Ojq5xe4UtGkq/y8rK0m233aZvv/1WhYWF6tevn5KSkrRw4ULdeOON+uijj3TXXXcdcd21a9cqIyPD7z0/vN5fc3j/kqTk5OQ69a8ePXqoZcuWta6XmpqqmJgY33RiYqIiIiJq9LmG1L8Od/bZZ/vdopKZmamHHnpIlZWVWrVqlSorK3XKKaf4reP1epWQkHDU7a5YsUL33XefVq5cqT179qiqqkqStG3bNp166qkB17ly5Upt2rTJ772QpPLyct/totJP+4OIiAjfdHJyslatWiXpp31a48aN1bNnT9/rnTt3VosWLY6phl/2hWPpc2632+/v+/nnnysiIkJZWVlHbevw/p2YmKimTZuqY8eOfvM++eQTv3Wio6MliX53HP0uPj5ep59+uhYuXKjIyEhFRkbq5ptv1r333qv9+/ersLCw1vdu8+bNqqioUO/evX3zWrZs6bud59c0bdpUnTp18k0fS/+S5LdfW7t2rbxery644IKjtvXL/iVJ3bp185t3pH2a1DD6V0NyLMfhbt26KTIy0je9fv36GsfPX56frVy5Uv/73/+OOJ5u8+bNNf59wV+DDC0RERF677339NFHH+ndd9/VY489prvvvlsff/yx78S/oKDAbydVvd6xmjNnjsaMGaOHHnpImZmZiomJ0YMPPui7r74u9u/fr0mTJmnIkCE1Xju8k/8yDLhcLt9O/ngFuu1WrVppz549fvOqd5KBtnMsbX///fdq3br1r27fCQ2l33Xr1k0tW7ZUYWGhCgsLNWXKFCUlJemBBx7QsmXL9OOPPwbtSV116V/VJ6/VwrV/Hav9+/crIiJCK1asqNG3jjaw/MCBAxowYIAGDBig2bNnq3Xr1tq2bZsGDBhQ50Gk+/fv1xlnnKHZs2fXeO3wv7Nt+7SDBw+qoqLCd8JxLH3ul20F0uck0e+Os9/169dPCxculNvtVlZWllq2bKmuXbtq8eLFKiws1J133lnn3+1ojvQem8PG+fxSq1atJEl79uzxved17V9Hmnei9i+bHOtxuFmzZgFve//+/Ro0aJAeeOCBGq8dPvYUR9ZgB+K7XC6dc845mjRpkj777DNFRkZq7ty5SkxMVNu2bbVlyxZ17tzZ76dDhw5+21i6dKnv/w8dOqQVK1aoa9eukqQPP/xQffr00ahRo9SjRw917tzZ75PDuujZs6fWr19fo67OnTv7fUJ8NGlpaTW+a2LZsmV+05GRkaqsrDyuWqv16NFDX3zxhd+8jIwMffDBB34DaevL6tWr1aNHj3rfbn1pCP3O5XKpb9++ev3117VmzRqde+65ysjIkNfr1ZNPPqlevXrVurPt2rWrioqKVF5efsR6JflO9Oqjj/Xo0UPr1q3zOwnIyMjQ559/HpSnyNnev6r98uC4dOlSnXzyyYqIiFCPHj1UWVmp3bt31+hrSUlJko68D1i3bp1KSko0bdo09e3bV126dDnuQfg9e/bUxo0b1aZNmxq1/PIKY23S0tJ06NAhvwc+bNq0qcaHJU2aNKmXPlf9aenh+7Vu3bqpqqrK76EY9WX16tVq166d72TWZjb3u6ysLC1evFgLFixQv379JP0UZF588UVt2LDBN++XOnXqpCZNmvj9bnv27NGGDRv8lquv42anTp0UGxvr179OPvlkRUdHa8GCBce9/V9avXq1mjRpovT09Hrfdrj45Xtf1+NwWlqaVq1aJa/X65v3y/Oznj17as2aNUpNTa3x76j6uFyf53AnmgYZWj7++GNNnTpVy5cv17Zt2/Tqq6/q22+/9Z34TZo0Sbm5ufrHP/6hDRs2aNWqVZo+fboefvhhv+3k5eVp7ty5WrdunbKzs7Vnzx7dcMMNkn7aySxfvlzz58/Xhg0bdM8999TofIGaOHGinn/+eU2aNElr1qzR2rVrNWfOHE2YMOGYt/GHP/xB69at09ixY7Vhwwa99NJLvufRV38yk5qaqv3792vBggX67rvvjuuy8YABA7RmzRq/E4hbbrlFZWVl+v3vf6/ly5dr48aNmjlzptavX1/ndqSfLm+vWLFCF1100XFtJ1gaUr+rPph3795dzZs3V6NGjXTeeedp9uzZR70F5uqrr5bL5dLIkSP1xRdf6K233tLf/vY3v2U8Ho9cLpfefPNNffvtt9q/f3/A9VU7//zztX//fr/HEA8dOlRJSUm69NJL9eGHH2rLli165ZVXtGTJkjq3U+2DDz6wtn8dbtu2bRo9erTWr1+vF198UY899phuu+02SdIpp5yiYcOG6dprr9Wrr76qrVu36pNPPlFubq7+85//SDryPqB9+/aKjIzUY489pi1btmjevHm6//77j6vOYcOGqVWrVho8eLA++OADbd26VQsXLtStt956zF8U26VLF/Xv318333yzPvnkE3322We6+eabFR0d7XerUmpqqhYsWKCdO3fWCDSBaN26tXr27KnFixf7bXvEiBG64YYb9Nprr/l+j5deeqnO7VRrKH1OsrvfnXfeedq3b5/efPNNv9Aye/ZsJScn13pbTfPmzXXjjTfqz3/+s/773/9q9erVuu6662p8UJiamqpFixbp66+/9j3JqS4aNWqk/v37+/WvqKgojR07VnfddZeef/55bd68WUuXLvU9ne54fPDBB74njqFuUlNT9fHHH+vLL7/Ud999V+fj8NVXX62qqirdfPPNWrt2rebPn+87flbvy7Kzs/X9999r6NChWrZsmTZv3qz58+fr+uuv9wWVX9ZTX1elTwQNMrTExsZq0aJF+t3vfqdTTjlFEyZM0EMPPeT7grybbrpJTz/9tKZPn65u3bopKytLM2bMqPGJ97Rp0zRt2jSdfvrpWrx4sebNm+f7NOwPf/iDhgwZoquuukq9e/dWSUmJRo0adVx1DxgwQG+++abeffddnXnmmTr77LP197//PaBnuXfo0EEvv/yyXn31VWVkZCg/P9/3BVbV37XRp08f/fGPf9RVV12l1q1b669//Wuda+7WrZt69uzpd/BOSEjQf//7X+3fv19ZWVk644wzVFBQcNQxLsfi9ddfV/v27dW3b9/j2k6wNKR+l5WVpcrKSr9PH/v161dj3i81b95cb7zxhlatWqUePXro7rvvrnEZ+6STTtKkSZP0l7/8RYmJibrlllsCrq9aQkKCLrvsMr/biyIjI/Xuu++qTZs2+t3vfqdu3bpp2rRpAd1mdyRLlizR3r17dfnllx/XdkLh2muv1Q8//KCzzjpL2dnZuu222/y+XXv69Om69tprdeeddyotLU2XXnqpli1bpvbt20s68j6gdevWmjFjhv7973/r1FNP1bRp02oE0kA1bdpUixYtUvv27TVkyBB17dpVN954o8rLyxUbG3vM23n++eeVmJio8847T5dddplGjhypmJgYv9tmH3roIb333ntKSUk57qtlN910U41b2vLz83X55Zdr1KhR6tKli0aOHOn3OPO6KC8v12uvveY3zs1mNve7Fi1aqFu3bmrdurW6dOki6acgU1VV9atjkR588EH17dtXgwYNUv/+/XXuuefqjDPO8Ftm8uTJ+vLLL9WpU6fjvtXqpptu0pw5c/xONu+55x7deeedmjhxorp27aqrrrrquK90Sj/dytRQ+petxowZo4iICJ166qlq3bq1BgwYUKfjcGxsrN544w19/vnn6t69u+6++25NnDhR0s9DANq2basPP/xQlZWVuuiii9StWzfdfvvtio+P9wXpX9azbdu24P3yDY3TTwJwQvWTOqqf5tDQ5eTkmHbt2gVt+2+++abp2rWr35OZgqF3795m9uzZQW3DSSdav6svK1euNG3atPE9SShYrrzySjNlypSgtlEfeHLMz0/TOfxpXfXp4MGDJiUlxfcY7WB5/PHHzYUXXhjUNuoL/a7+VFVVmTPPPLPG0yTr21tvvWW6du1qfvzxx6C2g7qbNWuWadKkiTl48KDTpZwQGuRA/HD3+OOP68wzz1RCQoI+/PBDPfjgg8f1afevufjii7Vx40Z9/fXXSklJCUob3333nYYMGaKhQ4cGZfuwV0ZGhh544AFt3brV70k59amiokLdunXTHXfcEZTt4/hUX7nt1q2bduzYobvuukupqak677zzgtJedHS0nn/++eO6DehYNGnSRI899lhQ24B9XC6XnnrqqRoPGalvBw4c0PTp09W4Madytnj++efVsWNHnXTSSVq5cqXGjh2rK6+8ktv36gk9vQHauHGjcnJy9P3336t9+/a68847NW7cuKC2efvttwd1+61atar1Mbw48V133XVB3X5kZGRAY8cQWj/++KPGjx+vLVu2KCYmRn369NHs2bOP+5bToznabZL15aabbgp6G7BT9+7dj+srEo5FQ7jVNdzs3LlTEydO1M6dO5WcnKwrrrjC72sucHxcxhzl2X0AAAAA4LAGORAfAAAAQPggtAAAAACwGqEFAAAAgNUILQAAAACsRmgBAAAAYDVCCwAAAACrEVoAAAAAWI3QAgAAAMBq/x/I3Sf1QBmwdgAAAABJRU5ErkJggg==\n"
          },
          "metadata": {}
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 800x600 with 2 Axes>"
            ],
            "image/png": 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          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "df.head()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 206
        },
        "id": "sNLn2MYlT_tA",
        "outputId": "0fd996bf-5bf3-4875-bfd0-0f1a4b2b461a"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "   sepal length (cm)  sepal width (cm)  petal length (cm)  petal width (cm)  \\\n",
              "0                5.1               3.5                1.4               0.2   \n",
              "1                4.9               3.0                1.4               0.2   \n",
              "2                4.7               3.2                1.3               0.2   \n",
              "3                4.6               3.1                1.5               0.2   \n",
              "4                5.0               3.6                1.4               0.2   \n",
              "\n",
              "   target  \n",
              "0       0  \n",
              "1       0  \n",
              "2       0  \n",
              "3       0  \n",
              "4       0  "
            ],
            "text/html": [
              "\n",
              "  <div id=\"df-d0fd41ec-e388-4002-97b6-ad2afdaba621\" class=\"colab-df-container\">\n",
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              "<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",
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              "    }\n",
              "</style>\n",
              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>sepal length (cm)</th>\n",
              "      <th>sepal width (cm)</th>\n",
              "      <th>petal length (cm)</th>\n",
              "      <th>petal width (cm)</th>\n",
              "      <th>target</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>5.1</td>\n",
              "      <td>3.5</td>\n",
              "      <td>1.4</td>\n",
              "      <td>0.2</td>\n",
              "      <td>0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>4.9</td>\n",
              "      <td>3.0</td>\n",
              "      <td>1.4</td>\n",
              "      <td>0.2</td>\n",
              "      <td>0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>4.7</td>\n",
              "      <td>3.2</td>\n",
              "      <td>1.3</td>\n",
              "      <td>0.2</td>\n",
              "      <td>0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>4.6</td>\n",
              "      <td>3.1</td>\n",
              "      <td>1.5</td>\n",
              "      <td>0.2</td>\n",
              "      <td>0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>5.0</td>\n",
              "      <td>3.6</td>\n",
              "      <td>1.4</td>\n",
              "      <td>0.2</td>\n",
              "      <td>0</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>\n",
              "    <div class=\"colab-df-buttons\">\n",
              "\n",
              "  <div class=\"colab-df-container\">\n",
              "    <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-d0fd41ec-e388-4002-97b6-ad2afdaba621')\"\n",
              "            title=\"Convert this dataframe to an interactive table.\"\n",
              "            style=\"display:none;\">\n",
              "\n",
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              "  </svg>\n",
              "    </button>\n",
              "\n",
              "  <style>\n",
              "    .colab-df-container {\n",
              "      display:flex;\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",
              "    .colab-df-buttons div {\n",
              "      margin-bottom: 4px;\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-d0fd41ec-e388-4002-97b6-ad2afdaba621 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-d0fd41ec-e388-4002-97b6-ad2afdaba621');\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",
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              "\n",
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              "  <button class=\"colab-df-quickchart\" onclick=\"quickchart('df-c31306f7-6f6d-4c64-a366-e76a7f6e80e3')\"\n",
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              "     width=\"24px\">\n",
              "    <g>\n",
              "        <path d=\"M19 3H5c-1.1 0-2 .9-2 2v14c0 1.1.9 2 2 2h14c1.1 0 2-.9 2-2V5c0-1.1-.9-2-2-2zM9 17H7v-7h2v7zm4 0h-2V7h2v10zm4 0h-2v-4h2v4z\"/>\n",
              "    </g>\n",
              "</svg>\n",
              "  </button>\n",
              "\n",
              "<style>\n",
              "  .colab-df-quickchart {\n",
              "      --bg-color: #E8F0FE;\n",
              "      --fill-color: #1967D2;\n",
              "      --hover-bg-color: #E2EBFA;\n",
              "      --hover-fill-color: #174EA6;\n",
              "      --disabled-fill-color: #AAA;\n",
              "      --disabled-bg-color: #DDD;\n",
              "  }\n",
              "\n",
              "  [theme=dark] .colab-df-quickchart {\n",
              "      --bg-color: #3B4455;\n",
              "      --fill-color: #D2E3FC;\n",
              "      --hover-bg-color: #434B5C;\n",
              "      --hover-fill-color: #FFFFFF;\n",
              "      --disabled-bg-color: #3B4455;\n",
              "      --disabled-fill-color: #666;\n",
              "  }\n",
              "\n",
              "  .colab-df-quickchart {\n",
              "    background-color: var(--bg-color);\n",
              "    border: none;\n",
              "    border-radius: 50%;\n",
              "    cursor: pointer;\n",
              "    display: none;\n",
              "    fill: var(--fill-color);\n",
              "    height: 32px;\n",
              "    padding: 0;\n",
              "    width: 32px;\n",
              "  }\n",
              "\n",
              "  .colab-df-quickchart:hover {\n",
              "    background-color: var(--hover-bg-color);\n",
              "    box-shadow: 0 1px 2px rgba(60, 64, 67, 0.3), 0 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
              "    fill: var(--button-hover-fill-color);\n",
              "  }\n",
              "\n",
              "  .colab-df-quickchart-complete:disabled,\n",
              "  .colab-df-quickchart-complete:disabled:hover {\n",
              "    background-color: var(--disabled-bg-color);\n",
              "    fill: var(--disabled-fill-color);\n",
              "    box-shadow: none;\n",
              "  }\n",
              "\n",
              "  .colab-df-spinner {\n",
              "    border: 2px solid var(--fill-color);\n",
              "    border-color: transparent;\n",
              "    border-bottom-color: var(--fill-color);\n",
              "    animation:\n",
              "      spin 1s steps(1) infinite;\n",
              "  }\n",
              "\n",
              "  @keyframes spin {\n",
              "    0% {\n",
              "      border-color: transparent;\n",
              "      border-bottom-color: var(--fill-color);\n",
              "      border-left-color: var(--fill-color);\n",
              "    }\n",
              "    20% {\n",
              "      border-color: transparent;\n",
              "      border-left-color: var(--fill-color);\n",
              "      border-top-color: var(--fill-color);\n",
              "    }\n",
              "    30% {\n",
              "      border-color: transparent;\n",
              "      border-left-color: var(--fill-color);\n",
              "      border-top-color: var(--fill-color);\n",
              "      border-right-color: var(--fill-color);\n",
              "    }\n",
              "    40% {\n",
              "      border-color: transparent;\n",
              "      border-right-color: var(--fill-color);\n",
              "      border-top-color: var(--fill-color);\n",
              "    }\n",
              "    60% {\n",
              "      border-color: transparent;\n",
              "      border-right-color: var(--fill-color);\n",
              "    }\n",
              "    80% {\n",
              "      border-color: transparent;\n",
              "      border-right-color: var(--fill-color);\n",
              "      border-bottom-color: var(--fill-color);\n",
              "    }\n",
              "    90% {\n",
              "      border-color: transparent;\n",
              "      border-bottom-color: var(--fill-color);\n",
              "    }\n",
              "  }\n",
              "</style>\n",
              "\n",
              "  <script>\n",
              "    async function quickchart(key) {\n",
              "      const quickchartButtonEl =\n",
              "        document.querySelector('#' + key + ' button');\n",
              "      quickchartButtonEl.disabled = true;  // To prevent multiple clicks.\n",
              "      quickchartButtonEl.classList.add('colab-df-spinner');\n",
              "      try {\n",
              "        const charts = await google.colab.kernel.invokeFunction(\n",
              "            'suggestCharts', [key], {});\n",
              "      } catch (error) {\n",
              "        console.error('Error during call to suggestCharts:', error);\n",
              "      }\n",
              "      quickchartButtonEl.classList.remove('colab-df-spinner');\n",
              "      quickchartButtonEl.classList.add('colab-df-quickchart-complete');\n",
              "    }\n",
              "    (() => {\n",
              "      let quickchartButtonEl =\n",
              "        document.querySelector('#df-c31306f7-6f6d-4c64-a366-e76a7f6e80e3 button');\n",
              "      quickchartButtonEl.style.display =\n",
              "        google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "    })();\n",
              "  </script>\n",
              "</div>\n",
              "\n",
              "    </div>\n",
              "  </div>\n"
            ],
            "application/vnd.google.colaboratory.intrinsic+json": {
              "type": "dataframe",
              "variable_name": "df",
              "summary": "{\n  \"name\": \"df\",\n  \"rows\": 150,\n  \"fields\": [\n    {\n      \"column\": \"sepal length (cm)\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 0.828066127977863,\n        \"min\": 4.3,\n        \"max\": 7.9,\n        \"num_unique_values\": 35,\n        \"samples\": [\n          6.2,\n          4.5,\n          5.6\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"sepal width (cm)\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 0.4358662849366982,\n        \"min\": 2.0,\n        \"max\": 4.4,\n        \"num_unique_values\": 23,\n        \"samples\": [\n          2.3,\n          4.0,\n          3.5\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"petal length (cm)\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 1.7652982332594662,\n        \"min\": 1.0,\n        \"max\": 6.9,\n        \"num_unique_values\": 43,\n        \"samples\": [\n          6.7,\n          3.8,\n          3.7\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"petal width (cm)\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 0.7622376689603465,\n        \"min\": 0.1,\n        \"max\": 2.5,\n        \"num_unique_values\": 22,\n        \"samples\": [\n          0.2,\n          1.2,\n          1.3\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"target\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 0,\n        \"min\": 0,\n        \"max\": 2,\n        \"num_unique_values\": 3,\n        \"samples\": [\n          0,\n          1,\n          2\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    }\n  ]\n}"
            }
          },
          "metadata": {},
          "execution_count": 26
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "X =df.drop('target', axis=1)\n",
        "y =df['target']\n"
      ],
      "metadata": {
        "id": "RWB7gjF1YQo3"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "X"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 423
        },
        "id": "QwxDhexcY1vs",
        "outputId": "f837cd36-7dfa-4c69-e8cf-263405510dbd"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "     sepal length (cm)  sepal width (cm)  petal length (cm)  petal width (cm)\n",
              "0                  5.1               3.5                1.4               0.2\n",
              "1                  4.9               3.0                1.4               0.2\n",
              "2                  4.7               3.2                1.3               0.2\n",
              "3                  4.6               3.1                1.5               0.2\n",
              "4                  5.0               3.6                1.4               0.2\n",
              "..                 ...               ...                ...               ...\n",
              "145                6.7               3.0                5.2               2.3\n",
              "146                6.3               2.5                5.0               1.9\n",
              "147                6.5               3.0                5.2               2.0\n",
              "148                6.2               3.4                5.4               2.3\n",
              "149                5.9               3.0                5.1               1.8\n",
              "\n",
              "[150 rows x 4 columns]"
            ],
            "text/html": [
              "\n",
              "  <div id=\"df-092773ea-1eaf-4742-b805-3e2a95f95b24\" 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>sepal length (cm)</th>\n",
              "      <th>sepal width (cm)</th>\n",
              "      <th>petal length (cm)</th>\n",
              "      <th>petal width (cm)</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>5.1</td>\n",
              "      <td>3.5</td>\n",
              "      <td>1.4</td>\n",
              "      <td>0.2</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>4.9</td>\n",
              "      <td>3.0</td>\n",
              "      <td>1.4</td>\n",
              "      <td>0.2</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>4.7</td>\n",
              "      <td>3.2</td>\n",
              "      <td>1.3</td>\n",
              "      <td>0.2</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>4.6</td>\n",
              "      <td>3.1</td>\n",
              "      <td>1.5</td>\n",
              "      <td>0.2</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>5.0</td>\n",
              "      <td>3.6</td>\n",
              "      <td>1.4</td>\n",
              "      <td>0.2</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>...</th>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>145</th>\n",
              "      <td>6.7</td>\n",
              "      <td>3.0</td>\n",
              "      <td>5.2</td>\n",
              "      <td>2.3</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>146</th>\n",
              "      <td>6.3</td>\n",
              "      <td>2.5</td>\n",
              "      <td>5.0</td>\n",
              "      <td>1.9</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>147</th>\n",
              "      <td>6.5</td>\n",
              "      <td>3.0</td>\n",
              "      <td>5.2</td>\n",
              "      <td>2.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>148</th>\n",
              "      <td>6.2</td>\n",
              "      <td>3.4</td>\n",
              "      <td>5.4</td>\n",
              "      <td>2.3</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>149</th>\n",
              "      <td>5.9</td>\n",
              "      <td>3.0</td>\n",
              "      <td>5.1</td>\n",
              "      <td>1.8</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "<p>150 rows × 4 columns</p>\n",
              "</div>\n",
              "    <div class=\"colab-df-buttons\">\n",
              "\n",
              "  <div class=\"colab-df-container\">\n",
              "    <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-092773ea-1eaf-4742-b805-3e2a95f95b24')\"\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 -960 960 960\">\n",
              "    <path d=\"M120-120v-720h720v720H120Zm60-500h600v-160H180v160Zm220 220h160v-160H400v160Zm0 220h160v-160H400v160ZM180-400h160v-160H180v160Zm440 0h160v-160H620v160ZM180-180h160v-160H180v160Zm440 0h160v-160H620v160Z\"/>\n",
              "  </svg>\n",
              "    </button>\n",
              "\n",
              "  <style>\n",
              "    .colab-df-container {\n",
              "      display:flex;\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",
              "    .colab-df-buttons div {\n",
              "      margin-bottom: 4px;\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-092773ea-1eaf-4742-b805-3e2a95f95b24 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-092773ea-1eaf-4742-b805-3e2a95f95b24');\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",
              "\n",
              "\n",
              "<div id=\"df-67106f79-a355-4d95-8f0a-3d6e374c2de6\">\n",
              "  <button class=\"colab-df-quickchart\" onclick=\"quickchart('df-67106f79-a355-4d95-8f0a-3d6e374c2de6')\"\n",
              "            title=\"Suggest charts\"\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",
              "    <g>\n",
              "        <path d=\"M19 3H5c-1.1 0-2 .9-2 2v14c0 1.1.9 2 2 2h14c1.1 0 2-.9 2-2V5c0-1.1-.9-2-2-2zM9 17H7v-7h2v7zm4 0h-2V7h2v10zm4 0h-2v-4h2v4z\"/>\n",
              "    </g>\n",
              "</svg>\n",
              "  </button>\n",
              "\n",
              "<style>\n",
              "  .colab-df-quickchart {\n",
              "      --bg-color: #E8F0FE;\n",
              "      --fill-color: #1967D2;\n",
              "      --hover-bg-color: #E2EBFA;\n",
              "      --hover-fill-color: #174EA6;\n",
              "      --disabled-fill-color: #AAA;\n",
              "      --disabled-bg-color: #DDD;\n",
              "  }\n",
              "\n",
              "  [theme=dark] .colab-df-quickchart {\n",
              "      --bg-color: #3B4455;\n",
              "      --fill-color: #D2E3FC;\n",
              "      --hover-bg-color: #434B5C;\n",
              "      --hover-fill-color: #FFFFFF;\n",
              "      --disabled-bg-color: #3B4455;\n",
              "      --disabled-fill-color: #666;\n",
              "  }\n",
              "\n",
              "  .colab-df-quickchart {\n",
              "    background-color: var(--bg-color);\n",
              "    border: none;\n",
              "    border-radius: 50%;\n",
              "    cursor: pointer;\n",
              "    display: none;\n",
              "    fill: var(--fill-color);\n",
              "    height: 32px;\n",
              "    padding: 0;\n",
              "    width: 32px;\n",
              "  }\n",
              "\n",
              "  .colab-df-quickchart:hover {\n",
              "    background-color: var(--hover-bg-color);\n",
              "    box-shadow: 0 1px 2px rgba(60, 64, 67, 0.3), 0 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
              "    fill: var(--button-hover-fill-color);\n",
              "  }\n",
              "\n",
              "  .colab-df-quickchart-complete:disabled,\n",
              "  .colab-df-quickchart-complete:disabled:hover {\n",
              "    background-color: var(--disabled-bg-color);\n",
              "    fill: var(--disabled-fill-color);\n",
              "    box-shadow: none;\n",
              "  }\n",
              "\n",
              "  .colab-df-spinner {\n",
              "    border: 2px solid var(--fill-color);\n",
              "    border-color: transparent;\n",
              "    border-bottom-color: var(--fill-color);\n",
              "    animation:\n",
              "      spin 1s steps(1) infinite;\n",
              "  }\n",
              "\n",
              "  @keyframes spin {\n",
              "    0% {\n",
              "      border-color: transparent;\n",
              "      border-bottom-color: var(--fill-color);\n",
              "      border-left-color: var(--fill-color);\n",
              "    }\n",
              "    20% {\n",
              "      border-color: transparent;\n",
              "      border-left-color: var(--fill-color);\n",
              "      border-top-color: var(--fill-color);\n",
              "    }\n",
              "    30% {\n",
              "      border-color: transparent;\n",
              "      border-left-color: var(--fill-color);\n",
              "      border-top-color: var(--fill-color);\n",
              "      border-right-color: var(--fill-color);\n",
              "    }\n",
              "    40% {\n",
              "      border-color: transparent;\n",
              "      border-right-color: var(--fill-color);\n",
              "      border-top-color: var(--fill-color);\n",
              "    }\n",
              "    60% {\n",
              "      border-color: transparent;\n",
              "      border-right-color: var(--fill-color);\n",
              "    }\n",
              "    80% {\n",
              "      border-color: transparent;\n",
              "      border-right-color: var(--fill-color);\n",
              "      border-bottom-color: var(--fill-color);\n",
              "    }\n",
              "    90% {\n",
              "      border-color: transparent;\n",
              "      border-bottom-color: var(--fill-color);\n",
              "    }\n",
              "  }\n",
              "</style>\n",
              "\n",
              "  <script>\n",
              "    async function quickchart(key) {\n",
              "      const quickchartButtonEl =\n",
              "        document.querySelector('#' + key + ' button');\n",
              "      quickchartButtonEl.disabled = true;  // To prevent multiple clicks.\n",
              "      quickchartButtonEl.classList.add('colab-df-spinner');\n",
              "      try {\n",
              "        const charts = await google.colab.kernel.invokeFunction(\n",
              "            'suggestCharts', [key], {});\n",
              "      } catch (error) {\n",
              "        console.error('Error during call to suggestCharts:', error);\n",
              "      }\n",
              "      quickchartButtonEl.classList.remove('colab-df-spinner');\n",
              "      quickchartButtonEl.classList.add('colab-df-quickchart-complete');\n",
              "    }\n",
              "    (() => {\n",
              "      let quickchartButtonEl =\n",
              "        document.querySelector('#df-67106f79-a355-4d95-8f0a-3d6e374c2de6 button');\n",
              "      quickchartButtonEl.style.display =\n",
              "        google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "    })();\n",
              "  </script>\n",
              "</div>\n",
              "\n",
              "  <div id=\"id_da785257-248c-499a-a591-89a186348655\">\n",
              "    <style>\n",
              "      .colab-df-generate {\n",
              "        background-color: #E8F0FE;\n",
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              "        border-radius: 50%;\n",
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              "        display: none;\n",
              "        fill: #1967D2;\n",
              "        height: 32px;\n",
              "        padding: 0 0 0 0;\n",
              "        width: 32px;\n",
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              "      .colab-df-generate:hover {\n",
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              "      [theme=dark] .colab-df-generate {\n",
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              "    </style>\n",
              "    <button class=\"colab-df-generate\" onclick=\"generateWithVariable('X')\"\n",
              "            title=\"Generate code using this dataframe.\"\n",
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              "        google.colab.notebook.generateWithVariable('X');\n",
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            ],
            "application/vnd.google.colaboratory.intrinsic+json": {
              "type": "dataframe",
              "variable_name": "X",
              "summary": "{\n  \"name\": \"X\",\n  \"rows\": 150,\n  \"fields\": [\n    {\n      \"column\": \"sepal length (cm)\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 0.828066127977863,\n        \"min\": 4.3,\n        \"max\": 7.9,\n        \"num_unique_values\": 35,\n        \"samples\": [\n          6.2,\n          4.5,\n          5.6\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"sepal width (cm)\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 0.4358662849366982,\n        \"min\": 2.0,\n        \"max\": 4.4,\n        \"num_unique_values\": 23,\n        \"samples\": [\n          2.3,\n          4.0,\n          3.5\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"petal length (cm)\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 1.7652982332594662,\n        \"min\": 1.0,\n        \"max\": 6.9,\n        \"num_unique_values\": 43,\n        \"samples\": [\n          6.7,\n          3.8,\n          3.7\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"petal width (cm)\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 0.7622376689603465,\n        \"min\": 0.1,\n        \"max\": 2.5,\n        \"num_unique_values\": 22,\n        \"samples\": [\n          0.2,\n          1.2,\n          1.3\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    }\n  ]\n}"
            }
          },
          "metadata": {},
          "execution_count": 32
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "y"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "FmrOE3smYojN",
        "outputId": "e107f8e4-fb1e-4205-de41-19442aff17d6"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "0      0\n",
              "1      0\n",
              "2      0\n",
              "3      0\n",
              "4      0\n",
              "      ..\n",
              "145    2\n",
              "146    2\n",
              "147    2\n",
              "148    2\n",
              "149    2\n",
              "Name: target, Length: 150, dtype: int64"
            ]
          },
          "metadata": {},
          "execution_count": 30
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "X_train, X_test, y_train, y_test = train_test_split(X, y, test_size=0.2, random_state=42)\n"
      ],
      "metadata": {
        "id": "pHZaSNuqYpig"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "print(X_train.shape, X_test.shape)\n"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "-2AY5c4LZvxn",
        "outputId": "55493d6e-4f96-4ea1-80db-02d872ab96f2"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "(120, 4) (30, 4)\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "from sklearn.neighbors import KNeighborsClassifier\n",
        "from sklearn.metrics import classification_report, accuracy_score\n",
        "\n",
        "# Train a K-Nearest Neighbors classifier\n",
        "knn = KNeighborsClassifier(n_neighbors=5)\n",
        "knn.fit(X_train, y_train)\n",
        "\n",
        "# Predict on the test set\n",
        "y_pred = knn.predict(X_test)\n",
        "# Evaluate the model\n",
        "print(\"Accuracy:\", accuracy_score(y_test, y_pred))\n",
        "print(classification_report(y_test, y_pred))\n"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "MGofeJ7CazqB",
        "outputId": "c4274afa-cb68-4aa7-dbe6-cd54a41295be"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Accuracy: 1.0\n",
            "              precision    recall  f1-score   support\n",
            "\n",
            "           0       1.00      1.00      1.00        10\n",
            "           1       1.00      1.00      1.00         9\n",
            "           2       1.00      1.00      1.00        11\n",
            "\n",
            "    accuracy                           1.00        30\n",
            "   macro avg       1.00      1.00      1.00        30\n",
            "weighted avg       1.00      1.00      1.00        30\n",
            "\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "# Input data\n",
        "input_data = [[3.1, 3.0, 1.5, 2.2]]\n",
        "\n",
        "# Standardize the input data\n",
        "#input_data_scaled = scaler.transform(input_data)\n"
      ],
      "metadata": {
        "id": "vgFcXuZpdpZ1"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "# Predict the species\n",
        "predicted_species_encoded = knn.predict(input_data)\n",
        "\n",
        "# Map the numerical prediction back to species names\n",
        "species_map = {0: 'setosa', 1: 'versicolor', 2: 'virginica'}\n",
        "predicted_species = species_map[predicted_species_encoded[0]]\n",
        "\n",
        "print(\"Predicted species:\", predicted_species)\n"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "Vj3_OVOYdq7S",
        "outputId": "5f1cf959-45ef-447a-c489-77c7668da055"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Predicted species: setosa\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "/usr/local/lib/python3.10/dist-packages/sklearn/base.py:439: UserWarning: X does not have valid feature names, but KNeighborsClassifier was fitted with feature names\n",
            "  warnings.warn(\n"
          ]
        }
      ]
    }
  ]
}