{
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  "metadata": {
    "colab": {
      "provenance": []
    },
    "kernelspec": {
      "name": "python3",
      "display_name": "Python 3"
    },
    "language_info": {
      "name": "python"
    }
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  "cells": [
    {
      "cell_type": "code",
      "execution_count": 1,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "k7pMTdtgr_w9",
        "outputId": "6ec95afd-8976-44e6-9a5d-8595403a3e89"
      },
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Mounted at /content/drive\n"
          ]
        }
      ],
      "source": [
        "from google.colab import drive\n",
        "drive.mount('/content/drive')"
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "import pandas as pd\n",
        "import numpy as np\n",
        "import matplotlib.pyplot as plt\n",
        "import seaborn as sns\n",
        "\n",
        "\n",
        "from sklearn.model_selection import train_test_split\n",
        "from sklearn.preprocessing import LabelEncoder\n",
        "from sklearn.linear_model import LogisticRegression\n",
        "from sklearn.neighbors import KNeighborsClassifier\n",
        "from sklearn.tree import DecisionTreeClassifier\n",
        "from sklearn.metrics import accuracy_score"
      ],
      "metadata": {
        "id": "fz2BrHXLtD4H"
      },
      "execution_count": 2,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "df = pd.read_csv('/content/drive/MyDrive/Iris_Project/Iris.csv')\n",
        "\n",
        "if 'Id' in df.columns:\n",
        "    df.drop(columns=['Id'], inplace=True)"
      ],
      "metadata": {
        "id": "3VgvD44ZtTs1"
      },
      "execution_count": 5,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "# First 10 data rows\n",
        "print(\"--- FIRST 10 ROWS ---\")\n",
        "display(df.head(10))\n",
        "\n",
        "# Statistical description\n",
        "print(\"\\n--- DATA DESCRIPTION ---\")\n",
        "display(df.describe())\n",
        "\n",
        "# Info summary\n",
        "print(\"\\n--- DATA INFO ---\")\n",
        "df.info()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 956
        },
        "id": "_cpWPY44th_N",
        "outputId": "7a0f7b7a-7b02-4ecc-a306-27cedadda768"
      },
      "execution_count": 6,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "--- FIRST 10 ROWS ---\n"
          ]
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "   SepalLengthCm  SepalWidthCm  PetalLengthCm  PetalWidthCm      Species\n",
              "0            5.1           3.5            1.4           0.2  Iris-setosa\n",
              "1            4.9           3.0            1.4           0.2  Iris-setosa\n",
              "2            4.7           3.2            1.3           0.2  Iris-setosa\n",
              "3            4.6           3.1            1.5           0.2  Iris-setosa\n",
              "4            5.0           3.6            1.4           0.2  Iris-setosa\n",
              "5            5.4           3.9            1.7           0.4  Iris-setosa\n",
              "6            4.6           3.4            1.4           0.3  Iris-setosa\n",
              "7            5.0           3.4            1.5           0.2  Iris-setosa\n",
              "8            4.4           2.9            1.4           0.2  Iris-setosa\n",
              "9            4.9           3.1            1.5           0.1  Iris-setosa"
            ],
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              "  <div id=\"df-0237d2d2-9dec-4ad5-b078-c0129217fb86\" class=\"colab-df-container\">\n",
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              "        text-align: right;\n",
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              "</style>\n",
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              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>SepalLengthCm</th>\n",
              "      <th>SepalWidthCm</th>\n",
              "      <th>PetalLengthCm</th>\n",
              "      <th>PetalWidthCm</th>\n",
              "      <th>Species</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>Iris-setosa</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>Iris-setosa</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>Iris-setosa</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>Iris-setosa</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>Iris-setosa</td>\n",
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              "    <tr>\n",
              "      <th>5</th>\n",
              "      <td>5.4</td>\n",
              "      <td>3.9</td>\n",
              "      <td>1.7</td>\n",
              "      <td>0.4</td>\n",
              "      <td>Iris-setosa</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>6</th>\n",
              "      <td>4.6</td>\n",
              "      <td>3.4</td>\n",
              "      <td>1.4</td>\n",
              "      <td>0.3</td>\n",
              "      <td>Iris-setosa</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>7</th>\n",
              "      <td>5.0</td>\n",
              "      <td>3.4</td>\n",
              "      <td>1.5</td>\n",
              "      <td>0.2</td>\n",
              "      <td>Iris-setosa</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>8</th>\n",
              "      <td>4.4</td>\n",
              "      <td>2.9</td>\n",
              "      <td>1.4</td>\n",
              "      <td>0.2</td>\n",
              "      <td>Iris-setosa</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>9</th>\n",
              "      <td>4.9</td>\n",
              "      <td>3.1</td>\n",
              "      <td>1.5</td>\n",
              "      <td>0.1</td>\n",
              "      <td>Iris-setosa</td>\n",
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              "\n",
              "        const docLinkHtml = 'Like what you see? Visit the ' +\n",
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              "summary": "{\n  \"name\": \"df\",\n  \"rows\": 10,\n  \"fields\": [\n    {\n      \"column\": \"SepalLengthCm\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 0.29135697844549546,\n        \"min\": 4.4,\n        \"max\": 5.4,\n        \"num_unique_values\": 7,\n        \"samples\": [\n          5.1,\n          4.9,\n          5.4\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"SepalWidthCm\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 0.30713731999438515,\n        \"min\": 2.9,\n        \"max\": 3.9,\n        \"num_unique_values\": 8,\n        \"samples\": [\n          3.0,\n          3.9,\n          3.5\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"PetalLengthCm\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 0.10801234497346433,\n        \"min\": 1.3,\n        \"max\": 1.7,\n        \"num_unique_values\": 4,\n        \"samples\": [\n          1.3,\n          1.7,\n          1.4\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"PetalWidthCm\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 0.07888106377466154,\n        \"min\": 0.1,\n        \"max\": 0.4,\n        \"num_unique_values\": 4,\n        \"samples\": [\n          0.4,\n          0.1,\n          0.2\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"Species\",\n      \"properties\": {\n        \"dtype\": \"category\",\n        \"num_unique_values\": 1,\n        \"samples\": [\n          \"Iris-setosa\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    }\n  ]\n}"
            }
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          "metadata": {}
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        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\n",
            "--- DATA DESCRIPTION ---\n"
          ]
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "       SepalLengthCm  SepalWidthCm  PetalLengthCm  PetalWidthCm\n",
              "count     150.000000    150.000000     150.000000    150.000000\n",
              "mean        5.843333      3.054000       3.758667      1.198667\n",
              "std         0.828066      0.433594       1.764420      0.763161\n",
              "min         4.300000      2.000000       1.000000      0.100000\n",
              "25%         5.100000      2.800000       1.600000      0.300000\n",
              "50%         5.800000      3.000000       4.350000      1.300000\n",
              "75%         6.400000      3.300000       5.100000      1.800000\n",
              "max         7.900000      4.400000       6.900000      2.500000"
            ],
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              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>count</th>\n",
              "      <td>150.000000</td>\n",
              "      <td>150.000000</td>\n",
              "      <td>150.000000</td>\n",
              "      <td>150.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>mean</th>\n",
              "      <td>5.843333</td>\n",
              "      <td>3.054000</td>\n",
              "      <td>3.758667</td>\n",
              "      <td>1.198667</td>\n",
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              "    <tr>\n",
              "      <th>std</th>\n",
              "      <td>0.828066</td>\n",
              "      <td>0.433594</td>\n",
              "      <td>1.764420</td>\n",
              "      <td>0.763161</td>\n",
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              "      <th>min</th>\n",
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              "      <td>0.100000</td>\n",
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              "      <th>25%</th>\n",
              "      <td>5.100000</td>\n",
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              "      <td>1.600000</td>\n",
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              "      <th>50%</th>\n",
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              "      <th>75%</th>\n",
              "      <td>6.400000</td>\n",
              "      <td>3.300000</td>\n",
              "      <td>5.100000</td>\n",
              "      <td>1.800000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>max</th>\n",
              "      <td>7.900000</td>\n",
              "      <td>4.400000</td>\n",
              "      <td>6.900000</td>\n",
              "      <td>2.500000</td>\n",
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              "\n",
              "        const docLinkHtml = 'Like what you see? Visit the ' +\n",
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            "application/vnd.google.colaboratory.intrinsic+json": {
              "type": "dataframe",
              "summary": "{\n  \"name\": \"df\",\n  \"rows\": 8,\n  \"fields\": [\n    {\n      \"column\": \"SepalLengthCm\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 51.24711349471842,\n        \"min\": 0.8280661279778629,\n        \"max\": 150.0,\n        \"num_unique_values\": 8,\n        \"samples\": [\n          5.843333333333334,\n          5.8,\n          150.0\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"SepalWidthCm\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 52.08647211421483,\n        \"min\": 0.4335943113621737,\n        \"max\": 150.0,\n        \"num_unique_values\": 8,\n        \"samples\": [\n          3.0540000000000003,\n          3.0,\n          150.0\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"PetalLengthCm\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 51.835227940958106,\n        \"min\": 1.0,\n        \"max\": 150.0,\n        \"num_unique_values\": 8,\n        \"samples\": [\n          3.758666666666666,\n          4.35,\n          150.0\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"PetalWidthCm\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 52.63663424340991,\n        \"min\": 0.1,\n        \"max\": 150.0,\n        \"num_unique_values\": 8,\n        \"samples\": [\n          1.1986666666666668,\n          1.3,\n          150.0\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    }\n  ]\n}"
            }
          },
          "metadata": {}
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\n",
            "--- DATA INFO ---\n",
            "<class 'pandas.core.frame.DataFrame'>\n",
            "RangeIndex: 150 entries, 0 to 149\n",
            "Data columns (total 5 columns):\n",
            " #   Column         Non-Null Count  Dtype  \n",
            "---  ------         --------------  -----  \n",
            " 0   SepalLengthCm  150 non-null    float64\n",
            " 1   SepalWidthCm   150 non-null    float64\n",
            " 2   PetalLengthCm  150 non-null    float64\n",
            " 3   PetalWidthCm   150 non-null    float64\n",
            " 4   Species        150 non-null    object \n",
            "dtypes: float64(4), object(1)\n",
            "memory usage: 6.0+ KB\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "# How many flowers are there\n",
        "print(df['Species'].value_counts())\n",
        "\n",
        "# Is there Null Data\n",
        "print(df.isnull().sum())"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "WeCw8S9puUdV",
        "outputId": "553a53b9-68e7-42a4-e4bf-0304e0fdc1a7"
      },
      "execution_count": 9,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Species\n",
            "Iris-setosa        50\n",
            "Iris-versicolor    50\n",
            "Iris-virginica     50\n",
            "Name: count, dtype: int64\n",
            "SepalLengthCm    0\n",
            "SepalWidthCm     0\n",
            "PetalLengthCm    0\n",
            "PetalWidthCm     0\n",
            "Species          0\n",
            "dtype: int64\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "df.hist(figsize=(10, 8), edgecolor='black')\n",
        "plt.tight_layout()\n",
        "plt.show()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 807
        },
        "id": "qa2KlFBVu9g2",
        "outputId": "ff1b9987-1aae-47eb-d053-f423dd40329a"
      },
      "execution_count": 10,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 1000x800 with 4 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "colors = {'Iris-virginica': 'red', 'Iris-versicolor': 'orange', 'Iris-setosa': 'blue'}\n",
        "\n",
        "fig, axs = plt.subplots(2, 2, figsize=(14, 12))\n",
        "\n",
        "sns.scatterplot(data=df, x='SepalLengthCm', y='SepalWidthCm', hue='Species', palette=colors, ax=axs[0, 0])\n",
        "\n",
        "sns.scatterplot(data=df, x='PetalLengthCm', y='PetalWidthCm', hue='Species', palette=colors, ax=axs[0, 1])\n",
        "\n",
        "sns.scatterplot(data=df, x='SepalLengthCm', y='PetalLengthCm', hue='Species', palette=colors, ax=axs[1, 0])\n",
        "\n",
        "sns.scatterplot(data=df, x='SepalWidthCm', y='PetalWidthCm', hue='Species', palette=colors, ax=axs[1, 1])\n",
        "\n",
        "plt.tight_layout()\n",
        "plt.show()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 1000
        },
        "id": "0umSZktSvYcv",
        "outputId": "1c09feb4-4b68-494c-add4-e00be8890046"
      },
      "execution_count": 15,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 1400x1200 with 4 Axes>"
            ],
            "image/png": 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          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "corr_matrix = df.drop(columns=['Species']).corr()\n",
        "print(corr_matrix)\n",
        "\n",
        "sns.heatmap(corr_matrix, annot=True, cmap='coolwarm', fmt='.2f')\n",
        "plt.show()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 622
        },
        "id": "qN0FaqiEv0UW",
        "outputId": "6657936f-f072-4282-d709-37f55d72439c"
      },
      "execution_count": 18,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "               SepalLengthCm  SepalWidthCm  PetalLengthCm  PetalWidthCm\n",
            "SepalLengthCm       1.000000     -0.109369       0.871754      0.817954\n",
            "SepalWidthCm       -0.109369      1.000000      -0.420516     -0.356544\n",
            "PetalLengthCm       0.871754     -0.420516       1.000000      0.962757\n",
            "PetalWidthCm        0.817954     -0.356544       0.962757      1.000000\n"
          ]
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 640x480 with 2 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "le = LabelEncoder()\n",
        "df['class_encoded'] = le.fit_transform(df['Species'])\n",
        "\n",
        "for i, class_name in enumerate(le.classes_):\n",
        "    print(f\"Category code {i}: {class_name}\")"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "n18E7m3UwsgN",
        "outputId": "2db2b995-70a6-4ead-9f5a-0b915e913e6a"
      },
      "execution_count": 21,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Category code 0: Iris-setosa\n",
            "Category code 1: Iris-versicolor\n",
            "Category code 2: Iris-virginica\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "X = df.drop(columns=['Species', 'class_encoded'])\n",
        "y = df['class_encoded']\n",
        "X_train, X_test, y_train, y_test = train_test_split(X, y, test_size=0.3, random_state=42)\n",
        "print(X_train.shape, X_test.shape)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "Bd42fNdaxLe9",
        "outputId": "19421e3c-8012-4b44-ad7c-1d7025267243"
      },
      "execution_count": 26,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "(105, 4) (45, 4)\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "lr = LogisticRegression(max_iter=200)\n",
        "lr.fit(X_train, y_train)\n",
        "print(f\"accuracy Logistic Regression: {accuracy_score(y_test, lr.predict(X_test)):.4f}\")\n",
        "\n",
        "knn = KNeighborsClassifier()\n",
        "knn.fit(X_train, y_train)\n",
        "print(f\"accuracy KNN: {accuracy_score(y_test, knn.predict(X_test)):.4f}\")\n",
        "\n",
        "dt = DecisionTreeClassifier(random_state=42)\n",
        "dt.fit(X_train, y_train)\n",
        "print(f\"accuracy Decision Tree: {accuracy_score(y_test, dt.predict(X_test)):.4f}\")"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "19f8j8yyxffV",
        "outputId": "4ee045ad-f021-4fe3-b28b-d9007eb35b18"
      },
      "execution_count": 28,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "accuracy Logistic Regression: 1.0000\n",
            "accuracy KNN: 1.0000\n",
            "accuracy Decision Tree: 1.0000\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "\n",
        "lr_tuned = LogisticRegression(C=0.1, max_iter=200)\n",
        "lr_tuned.fit(X_train, y_train)\n",
        "print(f\"accuracy Logistic Regression Rate: {accuracy_score(y_test, lr_tuned.predict(X_test)):.4f}\")\n",
        "\n",
        "\n",
        "knn_tuned = KNeighborsClassifier(n_neighbors=3)\n",
        "knn_tuned.fit(X_train, y_train)\n",
        "print(f\"accuracy KNN Rate: {accuracy_score(y_test, knn_tuned.predict(X_test)):.4f}\")\n",
        "\n",
        "\n",
        "dt_tuned = DecisionTreeClassifier(max_depth=3, random_state=42)\n",
        "dt_tuned.fit(X_train, y_train)\n",
        "print(f\"accuracy Decision Tree Rate: {accuracy_score(y_test, dt_tuned.predict(X_test)):.4f}\")"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "MX74_c_fyBDl",
        "outputId": "e7df7d13-14f0-4115-9de0-eeb08c8203ac"
      },
      "execution_count": 30,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "accuracy Logistic Regression Rate: 0.9556\n",
            "accuracy KNN Rate: 1.0000\n",
            "accuracy Decision Tree Rate: 1.0000\n"
          ]
        }
      ]
    }
  ]
}