Lab05/LR.ipynb

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      "cell_type": "markdown",
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        "id": "MeShmDzq13BK"
      },
      "source": [
        "# Logistic Regression on multiple datasets\n",
        "\n",
        "**Reference**: <https://www.kaggle.com/code/rahulrajpandey31/logistic-regression-from-scratch-iris-data-set>"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {},
      "source": [
        "<a href=\"https://colab.research.google.com/github/kbdharun/ML-Lab/blob/main/Lab5/LR.ipynb\" target=\"_parent\"><img src=\"https://colab.research.google.com/assets/colab-badge.svg\" alt=\"Open In Colab\"/></a>"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {},
      "source": [
        "# Logistic Regression on Iris dataset"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 53,
      "metadata": {
        "id": "Vn87MhEr1-Dr"
      },
      "outputs": [],
      "source": [
        "import numpy as np\n",
        "import pandas as pd\n",
        "import seaborn as sns\n",
        "import matplotlib.pyplot as plt\n",
        "\n",
        "from sklearn.model_selection import train_test_split\n",
        "from sklearn.linear_model import LogisticRegression\n",
        "from sklearn.preprocessing import StandardScaler\n",
        "from sklearn import metrics"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 6,
      "metadata": {
        "id": "VXhPewFa2Jwj"
      },
      "outputs": [],
      "source": [
        "from sklearn.datasets import load_iris #Import Iris dataset\n",
        "iris = load_iris()"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 42,
      "metadata": {
        "id": "lPkEXTYz4hky"
      },
      "outputs": [],
      "source": [
        "df = pd.DataFrame(data=np.c_[iris['data'], iris['target']],\n",
        "                       columns=iris['feature_names'] + ['target'])\n",
        "\n",
        "df['species'] = iris.target_names[df['target'].astype(int)]\n"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 43,
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          "height": 206
        },
        "id": "o_B68bg_2jaq",
        "outputId": "399c6498-e69e-49d7-8b5a-edb9bbefd3d3"
      },
      "outputs": [
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              "      <th>sepal length (cm)</th>\n",
              "      <th>sepal width (cm)</th>\n",
              "      <th>petal length (cm)</th>\n",
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              "      <th>0</th>\n",
              "      <td>5.1</td>\n",
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              "      <td>1.4</td>\n",
              "      <td>0.2</td>\n",
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              "      <th>1</th>\n",
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              "      <th>2</th>\n",
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              "      <td>1.3</td>\n",
              "      <td>0.2</td>\n",
              "      <td>0.0</td>\n",
              "      <td>setosa</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",
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              "      <td>0.0</td>\n",
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            "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 species  \n",
              "0     0.0  setosa  \n",
              "1     0.0  setosa  \n",
              "2     0.0  setosa  \n",
              "3     0.0  setosa  \n",
              "4     0.0  setosa  "
            ]
          },
          "execution_count": 43,
          "metadata": {},
          "output_type": "execute_result"
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      "source": [
        "df.head()"
      ]
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              "      <th>mean</th>\n",
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              "      <td>0.819232</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>min</th>\n",
              "      <td>4.300000</td>\n",
              "      <td>2.000000</td>\n",
              "      <td>1.000000</td>\n",
              "      <td>0.100000</td>\n",
              "      <td>0.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>25%</th>\n",
              "      <td>5.100000</td>\n",
              "      <td>2.800000</td>\n",
              "      <td>1.600000</td>\n",
              "      <td>0.300000</td>\n",
              "      <td>0.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>50%</th>\n",
              "      <td>5.800000</td>\n",
              "      <td>3.000000</td>\n",
              "      <td>4.350000</td>\n",
              "      <td>1.300000</td>\n",
              "      <td>1.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>75%</th>\n",
              "      <td>6.400000</td>\n",
              "      <td>3.300000</td>\n",
              "      <td>5.100000</td>\n",
              "      <td>1.800000</td>\n",
              "      <td>2.000000</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",
              "      <td>2.000000</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-f2d099c8-5bb3-4cac-a578-26abc3ef10ef')\"\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",
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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-f2d099c8-5bb3-4cac-a578-26abc3ef10ef 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-f2d099c8-5bb3-4cac-a578-26abc3ef10ef');\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-cbd7faa4-1ad8-4766-93de-2dc0c3dc7c45\">\n",
              "  <button class=\"colab-df-quickchart\" onclick=\"quickchart('df-cbd7faa4-1ad8-4766-93de-2dc0c3dc7c45')\"\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-cbd7faa4-1ad8-4766-93de-2dc0c3dc7c45 button');\n",
              "      quickchartButtonEl.style.display =\n",
              "        google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "    })();\n",
              "  </script>\n",
              "</div>\n",
              "    </div>\n",
              "  </div>\n"
            ],
            "text/plain": [
              "       sepal length (cm)  sepal width (cm)  petal length (cm)  \\\n",
              "count         150.000000        150.000000         150.000000   \n",
              "mean            5.843333          3.057333           3.758000   \n",
              "std             0.828066          0.435866           1.765298   \n",
              "min             4.300000          2.000000           1.000000   \n",
              "25%             5.100000          2.800000           1.600000   \n",
              "50%             5.800000          3.000000           4.350000   \n",
              "75%             6.400000          3.300000           5.100000   \n",
              "max             7.900000          4.400000           6.900000   \n",
              "\n",
              "       petal width (cm)      target  \n",
              "count        150.000000  150.000000  \n",
              "mean           1.199333    1.000000  \n",
              "std            0.762238    0.819232  \n",
              "min            0.100000    0.000000  \n",
              "25%            0.300000    0.000000  \n",
              "50%            1.300000    1.000000  \n",
              "75%            1.800000    2.000000  \n",
              "max            2.500000    2.000000  "
            ]
          },
          "execution_count": 44,
          "metadata": {},
          "output_type": "execute_result"
        }
      ],
      "source": [
        "df.describe()"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 45,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "XSzT1N4123aq",
        "outputId": "10e8f8d2-8725-4e6b-8262-c1658b0555ac"
      },
      "outputs": [
        {
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "<class 'pandas.core.frame.DataFrame'>\n",
            "RangeIndex: 150 entries, 0 to 149\n",
            "Data columns (total 6 columns):\n",
            " #   Column             Non-Null Count  Dtype  \n",
            "---  ------             --------------  -----  \n",
            " 0   sepal length (cm)  150 non-null    float64\n",
            " 1   sepal width (cm)   150 non-null    float64\n",
            " 2   petal length (cm)  150 non-null    float64\n",
            " 3   petal width (cm)   150 non-null    float64\n",
            " 4   target             150 non-null    float64\n",
            " 5   species            150 non-null    object \n",
            "dtypes: float64(5), object(1)\n",
            "memory usage: 7.2+ KB\n"
          ]
        }
      ],
      "source": [
        "df.info()"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 46,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 537
        },
        "id": "7zWpXw8i27NZ",
        "outputId": "89abb1dd-27e6-4710-d58d-cbf7054eeec6"
      },
      "outputs": [
        {
          "name": "stderr",
          "output_type": "stream",
          "text": [
            "<ipython-input-46-34e8937451df>:2: FutureWarning: The default value of numeric_only in DataFrame.corr is deprecated. In a future version, it will default to False. Select only valid columns or specify the value of numeric_only to silence this warning.\n",
            "  sns.heatmap(df.corr(),annot=True,fmt=\".0%\")\n"
          ]
        },
        {
          "data": {
            "image/png": 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",
            "text/plain": [
              "<Figure size 800x400 with 2 Axes>"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        }
      ],
      "source": [
        "plt.figure(figsize=(8,4))\n",
        "sns.heatmap(df.corr(),annot=True,fmt=\".0%\")\n",
        "plt.show()"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 47,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 524
        },
        "id": "EO44NNZX3BLK",
        "outputId": "ce4cd822-7dc4-439f-dd8e-1cb9f995c5b3"
      },
      "outputs": [
        {
          "data": {
            "text/plain": [
              "<seaborn.axisgrid.FacetGrid at 0x7f1a7e22c9d0>"
            ]
          },
          "execution_count": 47,
          "metadata": {},
          "output_type": "execute_result"
        },
        {
          "data": {
            "image/png": 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",
            "text/plain": [
              "<Figure size 617.75x500 with 1 Axes>"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        }
      ],
      "source": [
        "sns.FacetGrid(df, hue=\"species\", height=5).map(plt.scatter, \"sepal length (cm)\", \"sepal width (cm)\").add_legend()"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 56,
      "metadata": {
        "id": "WxPq18mz6gf6"
      },
      "outputs": [],
      "source": [
        "# Splitting data\n",
        "X = df.iloc[:, 0:4]\n",
        "Y = df[\"species\"]"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 58,
      "metadata": {
        "id": "ysWeWPuL6isB"
      },
      "outputs": [],
      "source": [
        "# Feature scaling\n",
        "scaler = StandardScaler()\n",
        "X_scaled = scaler.fit_transform(X)\n",
        "X_train, X_test, Y_train, Y_test = train_test_split(X_scaled, Y, test_size=0.25, random_state=0)"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 59,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "DwjBJnmA5xUx",
        "outputId": "ea604ca9-b881-476e-b580-74244d7608bc"
      },
      "outputs": [
        {
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "Confusion Matrix:\n",
            " [[13  0  0]\n",
            " [ 0 15  1]\n",
            " [ 0  0  9]]\n",
            "Accuracy of Logistic Regression: 0.9736842105263158\n"
          ]
        }
      ],
      "source": [
        "# Fitting Logistic Regression to the Training set\n",
        "log = LogisticRegression()\n",
        "log.fit(X_train, Y_train)\n",
        "\n",
        "# Predicting the test result\n",
        "prediction = log.predict(X_test)\n",
        "\n",
        "# Test accuracy of the result (Creation of Confusion matrix)\n",
        "conf_matrix = metrics.confusion_matrix(Y_test, prediction)\n",
        "accuracy = metrics.accuracy_score(Y_test, prediction)\n",
        "\n",
        "print('Confusion Matrix:\\n', conf_matrix)\n",
        "print('Accuracy of Logistic Regression:', accuracy)"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 60,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 472
        },
        "id": "5Wzbob0m6XvB",
        "outputId": "bb5d8cad-36a7-41c8-d867-69465c919b9f"
      },
      "outputs": [
        {
          "data": {
            "image/png": 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",
            "text/plain": [
              "<Figure size 640x480 with 2 Axes>"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        }
      ],
      "source": [
        "# Visualizing the test set result\n",
        "sns.heatmap(conf_matrix, annot=True, fmt='d', cmap='Blues', xticklabels=iris.target_names, yticklabels=iris.target_names)\n",
        "plt.xlabel('Predicted Label')\n",
        "plt.ylabel('True Label')\n",
        "plt.title('Confusion Matrix')\n",
        "plt.show()"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 81,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 564
        },
        "id": "ulI2hs5W80RR",
        "outputId": "1547490e-2deb-4b86-8542-42b76bef8a20"
      },
      "outputs": [
        {
          "data": {
            "image/png": 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",
            "text/plain": [
              "<Figure size 1000x600 with 1 Axes>"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        }
      ],
      "source": [
        "# Convert labels to numeric values\n",
        "Y_test_numeric_iris = pd.Categorical(Y_test).codes\n",
        "prediction_numeric_iris = pd.Categorical(prediction).codes\n",
        "\n",
        "# Plotting actual vs predicted values with regression line\n",
        "plt.figure(figsize=(10, 6))\n",
        "\n",
        "# Scatter plot of actual vs predicted values\n",
        "plt.scatter(Y_test_numeric_iris, prediction_numeric_iris, s=50, alpha=0.7)\n",
        "\n",
        "# Fit a linear regression line\n",
        "m_iris, b_iris = np.polyfit(Y_test_numeric_iris, prediction_numeric_iris, 1)\n",
        "plt.plot(Y_test_numeric_iris, m_iris * Y_test_numeric_iris + b_iris, color='red')\n",
        "\n",
        "plt.title('Actual vs Predicted Values - Iris dataset')\n",
        "plt.xlabel('Actual Class')\n",
        "plt.ylabel('Predicted Class')\n",
        "plt.show()\n"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "8WciMoHE60tR"
      },
      "source": [
        "# Logistic Regression on Wine dataset"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 65,
      "metadata": {
        "id": "HaYpTe8o7p1i"
      },
      "outputs": [],
      "source": [
        "from sklearn.datasets import load_wine  # Import Wine dataset\n",
        "wine = load_wine()"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 67,
      "metadata": {
        "id": "JWWZlRl27r3B"
      },
      "outputs": [],
      "source": [
        "df_wine = pd.DataFrame(data=np.c_[wine['data'], wine['target']],\n",
        "                       columns=wine['feature_names'] + ['target'])\n",
        "df_wine['class'] = wine.target_names[df_wine['target'].astype(int)]"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 68,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 226
        },
        "id": "ZeAl7UtF7vX5",
        "outputId": "ea70b4de-254f-4be4-cafe-82055adf7b79"
      },
      "outputs": [
        {
          "data": {
            "application/vnd.google.colaboratory.intrinsic+json": {
              "summary": "{\n  \"name\": \"df_wine\",\n  \"rows\": 178,\n  \"fields\": [\n    {\n      \"column\": \"alcohol\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 0.8118265380058575,\n        \"min\": 11.03,\n        \"max\": 14.83,\n        \"samples\": [\n          11.62,\n          13.64,\n          13.69\n        ],\n        \"num_unique_values\": 126,\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"malic_acid\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 1.1171460976144627,\n        \"min\": 0.74,\n        \"max\": 5.8,\n        \"samples\": [\n          1.21,\n          2.83,\n          1.8\n        ],\n        \"num_unique_values\": 133,\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"ash\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 0.27434400906081485,\n        \"min\": 1.36,\n        \"max\": 3.23,\n        \"samples\": [\n          2.31,\n          2.43,\n          2.52\n        ],\n        \"num_unique_values\": 79,\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"alcalinity_of_ash\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 3.339563767173505,\n        \"min\": 10.6,\n        \"max\": 30.0,\n        \"samples\": [\n          25.5,\n          28.5,\n          15.6\n        ],\n        \"num_unique_values\": 63,\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"magnesium\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 14.282483515295665,\n        \"min\": 70.0,\n        \"max\": 162.0,\n        \"samples\": [\n          126.0,\n          85.0,\n          162.0\n        ],\n        \"num_unique_values\": 53,\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"total_phenols\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 0.6258510488339893,\n        \"min\": 0.98,\n        \"max\": 3.88,\n        \"samples\": [\n          1.68,\n          2.11,\n          1.35\n        ],\n        \"num_unique_values\": 97,\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"flavanoids\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 0.9988586850169467,\n        \"min\": 0.34,\n        \"max\": 5.08,\n        \"samples\": [\n          3.18,\n          2.5,\n          3.17\n        ],\n        \"num_unique_values\": 132,\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"nonflavanoid_phenols\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 0.12445334029667937,\n        \"min\": 0.13,\n        \"max\": 0.66,\n        \"samples\": [\n          0.58,\n          0.41,\n          0.39\n        ],\n        \"num_unique_values\": 39,\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"proanthocyanins\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 0.5723588626747613,\n        \"min\": 0.41,\n        \"max\": 3.58,\n        \"samples\": [\n          0.75,\n          1.77,\n          1.42\n        ],\n        \"num_unique_values\": 101,\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"color_intensity\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 2.318285871822413,\n        \"min\": 1.28,\n        \"max\": 13.0,\n        \"samples\": [\n          2.95,\n          3.3,\n          5.1\n        ],\n        \"num_unique_values\": 132,\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"hue\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 0.22857156582982338,\n        \"min\": 0.48,\n        \"max\": 1.71,\n        \"samples\": [\n          1.22,\n          1.04,\n          1.45\n        ],\n        \"num_unique_values\": 78,\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"od280/od315_of_diluted_wines\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 0.7099904287650504,\n        \"min\": 1.27,\n        \"max\": 4.0,\n        \"samples\": [\n          4.0,\n          1.82,\n          1.59\n        ],\n        \"num_unique_values\": 122,\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"proline\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 314.9074742768491,\n        \"min\": 278.0,\n        \"max\": 1680.0,\n        \"samples\": [\n          1375.0,\n          1270.0,\n          735.0\n        ],\n        \"num_unique_values\": 121,\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"target\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 0.7750349899850564,\n        \"min\": 0.0,\n        \"max\": 2.0,\n        \"samples\": [\n          0.0,\n          1.0,\n          2.0\n        ],\n        \"num_unique_values\": 3,\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"class\",\n      \"properties\": {\n        \"dtype\": \"category\",\n        \"samples\": [\n          \"class_0\",\n          \"class_1\",\n          \"class_2\"\n        ],\n        \"num_unique_values\": 3,\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    }\n  ]\n}",
              "type": "dataframe",
              "variable_name": "df_wine"
            },
            "text/html": [
              "\n",
              "  <div id=\"df-85efed98-84cb-4d3c-987e-d585f7f7a8f7\" 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>alcohol</th>\n",
              "      <th>malic_acid</th>\n",
              "      <th>ash</th>\n",
              "      <th>alcalinity_of_ash</th>\n",
              "      <th>magnesium</th>\n",
              "      <th>total_phenols</th>\n",
              "      <th>flavanoids</th>\n",
              "      <th>nonflavanoid_phenols</th>\n",
              "      <th>proanthocyanins</th>\n",
              "      <th>color_intensity</th>\n",
              "      <th>hue</th>\n",
              "      <th>od280/od315_of_diluted_wines</th>\n",
              "      <th>proline</th>\n",
              "      <th>target</th>\n",
              "      <th>class</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>14.23</td>\n",
              "      <td>1.71</td>\n",
              "      <td>2.43</td>\n",
              "      <td>15.6</td>\n",
              "      <td>127.0</td>\n",
              "      <td>2.80</td>\n",
              "      <td>3.06</td>\n",
              "      <td>0.28</td>\n",
              "      <td>2.29</td>\n",
              "      <td>5.64</td>\n",
              "      <td>1.04</td>\n",
              "      <td>3.92</td>\n",
              "      <td>1065.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>class_0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>13.20</td>\n",
              "      <td>1.78</td>\n",
              "      <td>2.14</td>\n",
              "      <td>11.2</td>\n",
              "      <td>100.0</td>\n",
              "      <td>2.65</td>\n",
              "      <td>2.76</td>\n",
              "      <td>0.26</td>\n",
              "      <td>1.28</td>\n",
              "      <td>4.38</td>\n",
              "      <td>1.05</td>\n",
              "      <td>3.40</td>\n",
              "      <td>1050.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>class_0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>13.16</td>\n",
              "      <td>2.36</td>\n",
              "      <td>2.67</td>\n",
              "      <td>18.6</td>\n",
              "      <td>101.0</td>\n",
              "      <td>2.80</td>\n",
              "      <td>3.24</td>\n",
              "      <td>0.30</td>\n",
              "      <td>2.81</td>\n",
              "      <td>5.68</td>\n",
              "      <td>1.03</td>\n",
              "      <td>3.17</td>\n",
              "      <td>1185.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>class_0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>14.37</td>\n",
              "      <td>1.95</td>\n",
              "      <td>2.50</td>\n",
              "      <td>16.8</td>\n",
              "      <td>113.0</td>\n",
              "      <td>3.85</td>\n",
              "      <td>3.49</td>\n",
              "      <td>0.24</td>\n",
              "      <td>2.18</td>\n",
              "      <td>7.80</td>\n",
              "      <td>0.86</td>\n",
              "      <td>3.45</td>\n",
              "      <td>1480.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>class_0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>13.24</td>\n",
              "      <td>2.59</td>\n",
              "      <td>2.87</td>\n",
              "      <td>21.0</td>\n",
              "      <td>118.0</td>\n",
              "      <td>2.80</td>\n",
              "      <td>2.69</td>\n",
              "      <td>0.39</td>\n",
              "      <td>1.82</td>\n",
              "      <td>4.32</td>\n",
              "      <td>1.04</td>\n",
              "      <td>2.93</td>\n",
              "      <td>735.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>class_0</td>\n",
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            ],
            "text/plain": [
              "   alcohol  malic_acid   ash  alcalinity_of_ash  magnesium  total_phenols  \\\n",
              "0    14.23        1.71  2.43               15.6      127.0           2.80   \n",
              "1    13.20        1.78  2.14               11.2      100.0           2.65   \n",
              "2    13.16        2.36  2.67               18.6      101.0           2.80   \n",
              "3    14.37        1.95  2.50               16.8      113.0           3.85   \n",
              "4    13.24        2.59  2.87               21.0      118.0           2.80   \n",
              "\n",
              "   flavanoids  nonflavanoid_phenols  proanthocyanins  color_intensity   hue  \\\n",
              "0        3.06                  0.28             2.29             5.64  1.04   \n",
              "1        2.76                  0.26             1.28             4.38  1.05   \n",
              "2        3.24                  0.30             2.81             5.68  1.03   \n",
              "3        3.49                  0.24             2.18             7.80  0.86   \n",
              "4        2.69                  0.39             1.82             4.32  1.04   \n",
              "\n",
              "   od280/od315_of_diluted_wines  proline  target    class  \n",
              "0                          3.92   1065.0     0.0  class_0  \n",
              "1                          3.40   1050.0     0.0  class_0  \n",
              "2                          3.17   1185.0     0.0  class_0  \n",
              "3                          3.45   1480.0     0.0  class_0  \n",
              "4                          2.93    735.0     0.0  class_0  "
            ]
          },
          "execution_count": 68,
          "metadata": {},
          "output_type": "execute_result"
        }
      ],
      "source": [
        "df_wine.head()"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 69,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 320
        },
        "id": "1F7gYAY97xtS",
        "outputId": "4d3a3c89-ebfd-48fa-a5fa-433fba42263f"
      },
      "outputs": [
        {
          "data": {
            "application/vnd.google.colaboratory.intrinsic+json": {
              "summary": "{\n  \"name\": \"df_wine\",\n  \"rows\": 8,\n  \"fields\": [\n    {\n      \"column\": \"alcohol\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 59.11804622765535,\n        \"min\": 0.8118265380058575,\n        \"max\": 178.0,\n        \"samples\": [\n          13.00061797752809,\n          13.05,\n          178.0\n        ],\n        \"num_unique_values\": 8,\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"malic_acid\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 62.116878053835904,\n        \"min\": 0.74,\n        \"max\": 178.0,\n        \"samples\": [\n          2.3363483146067416,\n          1.8650000000000002,\n          178.0\n        ],\n        \"num_unique_values\": 8,\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"ash\",\n      \"properties\": {\n        \"dtype\": 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              "      <th>alcohol</th>\n",
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              "      <th>total_phenols</th>\n",
              "      <th>flavanoids</th>\n",
              "      <th>nonflavanoid_phenols</th>\n",
              "      <th>proanthocyanins</th>\n",
              "      <th>color_intensity</th>\n",
              "      <th>hue</th>\n",
              "      <th>od280/od315_of_diluted_wines</th>\n",
              "      <th>proline</th>\n",
              "      <th>target</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>count</th>\n",
              "      <td>178.000000</td>\n",
              "      <td>178.000000</td>\n",
              "      <td>178.000000</td>\n",
              "      <td>178.000000</td>\n",
              "      <td>178.000000</td>\n",
              "      <td>178.000000</td>\n",
              "      <td>178.000000</td>\n",
              "      <td>178.000000</td>\n",
              "      <td>178.000000</td>\n",
              "      <td>178.000000</td>\n",
              "      <td>178.000000</td>\n",
              "      <td>178.000000</td>\n",
              "      <td>178.000000</td>\n",
              "      <td>178.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>mean</th>\n",
              "      <td>13.000618</td>\n",
              "      <td>2.336348</td>\n",
              "      <td>2.366517</td>\n",
              "      <td>19.494944</td>\n",
              "      <td>99.741573</td>\n",
              "      <td>2.295112</td>\n",
              "      <td>2.029270</td>\n",
              "      <td>0.361854</td>\n",
              "      <td>1.590899</td>\n",
              "      <td>5.058090</td>\n",
              "      <td>0.957449</td>\n",
              "      <td>2.611685</td>\n",
              "      <td>746.893258</td>\n",
              "      <td>0.938202</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>std</th>\n",
              "      <td>0.811827</td>\n",
              "      <td>1.117146</td>\n",
              "      <td>0.274344</td>\n",
              "      <td>3.339564</td>\n",
              "      <td>14.282484</td>\n",
              "      <td>0.625851</td>\n",
              "      <td>0.998859</td>\n",
              "      <td>0.124453</td>\n",
              "      <td>0.572359</td>\n",
              "      <td>2.318286</td>\n",
              "      <td>0.228572</td>\n",
              "      <td>0.709990</td>\n",
              "      <td>314.907474</td>\n",
              "      <td>0.775035</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>min</th>\n",
              "      <td>11.030000</td>\n",
              "      <td>0.740000</td>\n",
              "      <td>1.360000</td>\n",
              "      <td>10.600000</td>\n",
              "      <td>70.000000</td>\n",
              "      <td>0.980000</td>\n",
              "      <td>0.340000</td>\n",
              "      <td>0.130000</td>\n",
              "      <td>0.410000</td>\n",
              "      <td>1.280000</td>\n",
              "      <td>0.480000</td>\n",
              "      <td>1.270000</td>\n",
              "      <td>278.000000</td>\n",
              "      <td>0.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>25%</th>\n",
              "      <td>12.362500</td>\n",
              "      <td>1.602500</td>\n",
              "      <td>2.210000</td>\n",
              "      <td>17.200000</td>\n",
              "      <td>88.000000</td>\n",
              "      <td>1.742500</td>\n",
              "      <td>1.205000</td>\n",
              "      <td>0.270000</td>\n",
              "      <td>1.250000</td>\n",
              "      <td>3.220000</td>\n",
              "      <td>0.782500</td>\n",
              "      <td>1.937500</td>\n",
              "      <td>500.500000</td>\n",
              "      <td>0.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>50%</th>\n",
              "      <td>13.050000</td>\n",
              "      <td>1.865000</td>\n",
              "      <td>2.360000</td>\n",
              "      <td>19.500000</td>\n",
              "      <td>98.000000</td>\n",
              "      <td>2.355000</td>\n",
              "      <td>2.135000</td>\n",
              "      <td>0.340000</td>\n",
              "      <td>1.555000</td>\n",
              "      <td>4.690000</td>\n",
              "      <td>0.965000</td>\n",
              "      <td>2.780000</td>\n",
              "      <td>673.500000</td>\n",
              "      <td>1.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>75%</th>\n",
              "      <td>13.677500</td>\n",
              "      <td>3.082500</td>\n",
              "      <td>2.557500</td>\n",
              "      <td>21.500000</td>\n",
              "      <td>107.000000</td>\n",
              "      <td>2.800000</td>\n",
              "      <td>2.875000</td>\n",
              "      <td>0.437500</td>\n",
              "      <td>1.950000</td>\n",
              "      <td>6.200000</td>\n",
              "      <td>1.120000</td>\n",
              "      <td>3.170000</td>\n",
              "      <td>985.000000</td>\n",
              "      <td>2.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>max</th>\n",
              "      <td>14.830000</td>\n",
              "      <td>5.800000</td>\n",
              "      <td>3.230000</td>\n",
              "      <td>30.000000</td>\n",
              "      <td>162.000000</td>\n",
              "      <td>3.880000</td>\n",
              "      <td>5.080000</td>\n",
              "      <td>0.660000</td>\n",
              "      <td>3.580000</td>\n",
              "      <td>13.000000</td>\n",
              "      <td>1.710000</td>\n",
              "      <td>4.000000</td>\n",
              "      <td>1680.000000</td>\n",
              "      <td>2.000000</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
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              "\n",
              "  .colab-df-spinner {\n",
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              "      spin 1s steps(1) infinite;\n",
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              "\n",
              "  @keyframes spin {\n",
              "    0% {\n",
              "      border-color: transparent;\n",
              "      border-bottom-color: var(--fill-color);\n",
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              "    20% {\n",
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              "  </div>\n"
            ],
            "text/plain": [
              "          alcohol  malic_acid         ash  alcalinity_of_ash   magnesium  \\\n",
              "count  178.000000  178.000000  178.000000         178.000000  178.000000   \n",
              "mean    13.000618    2.336348    2.366517          19.494944   99.741573   \n",
              "std      0.811827    1.117146    0.274344           3.339564   14.282484   \n",
              "min     11.030000    0.740000    1.360000          10.600000   70.000000   \n",
              "25%     12.362500    1.602500    2.210000          17.200000   88.000000   \n",
              "50%     13.050000    1.865000    2.360000          19.500000   98.000000   \n",
              "75%     13.677500    3.082500    2.557500          21.500000  107.000000   \n",
              "max     14.830000    5.800000    3.230000          30.000000  162.000000   \n",
              "\n",
              "       total_phenols  flavanoids  nonflavanoid_phenols  proanthocyanins  \\\n",
              "count     178.000000  178.000000            178.000000       178.000000   \n",
              "mean        2.295112    2.029270              0.361854         1.590899   \n",
              "std         0.625851    0.998859              0.124453         0.572359   \n",
              "min         0.980000    0.340000              0.130000         0.410000   \n",
              "25%         1.742500    1.205000              0.270000         1.250000   \n",
              "50%         2.355000    2.135000              0.340000         1.555000   \n",
              "75%         2.800000    2.875000              0.437500         1.950000   \n",
              "max         3.880000    5.080000              0.660000         3.580000   \n",
              "\n",
              "       color_intensity         hue  od280/od315_of_diluted_wines      proline  \\\n",
              "count       178.000000  178.000000                    178.000000   178.000000   \n",
              "mean          5.058090    0.957449                      2.611685   746.893258   \n",
              "std           2.318286    0.228572                      0.709990   314.907474   \n",
              "min           1.280000    0.480000                      1.270000   278.000000   \n",
              "25%           3.220000    0.782500                      1.937500   500.500000   \n",
              "50%           4.690000    0.965000                      2.780000   673.500000   \n",
              "75%           6.200000    1.120000                      3.170000   985.000000   \n",
              "max          13.000000    1.710000                      4.000000  1680.000000   \n",
              "\n",
              "           target  \n",
              "count  178.000000  \n",
              "mean     0.938202  \n",
              "std      0.775035  \n",
              "min      0.000000  \n",
              "25%      0.000000  \n",
              "50%      1.000000  \n",
              "75%      2.000000  \n",
              "max      2.000000  "
            ]
          },
          "execution_count": 69,
          "metadata": {},
          "output_type": "execute_result"
        }
      ],
      "source": [
        "df_wine.describe()"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 70,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "aG5KeIGn7zLp",
        "outputId": "21c5311f-62bc-4214-ec33-d0353a2f5aa0"
      },
      "outputs": [
        {
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "<class 'pandas.core.frame.DataFrame'>\n",
            "RangeIndex: 178 entries, 0 to 177\n",
            "Data columns (total 15 columns):\n",
            " #   Column                        Non-Null Count  Dtype  \n",
            "---  ------                        --------------  -----  \n",
            " 0   alcohol                       178 non-null    float64\n",
            " 1   malic_acid                    178 non-null    float64\n",
            " 2   ash                           178 non-null    float64\n",
            " 3   alcalinity_of_ash             178 non-null    float64\n",
            " 4   magnesium                     178 non-null    float64\n",
            " 5   total_phenols                 178 non-null    float64\n",
            " 6   flavanoids                    178 non-null    float64\n",
            " 7   nonflavanoid_phenols          178 non-null    float64\n",
            " 8   proanthocyanins               178 non-null    float64\n",
            " 9   color_intensity               178 non-null    float64\n",
            " 10  hue                           178 non-null    float64\n",
            " 11  od280/od315_of_diluted_wines  178 non-null    float64\n",
            " 12  proline                       178 non-null    float64\n",
            " 13  target                        178 non-null    float64\n",
            " 14  class                         178 non-null    object \n",
            "dtypes: float64(14), object(1)\n",
            "memory usage: 21.0+ KB\n"
          ]
        }
      ],
      "source": [
        "df_wine.info()"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 72,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 1000
        },
        "id": "c5MlrMKM71c5",
        "outputId": "1eccf4ab-0d1c-4c6a-ee00-cbc798b217a2"
      },
      "outputs": [
        {
          "name": "stderr",
          "output_type": "stream",
          "text": [
            "<ipython-input-72-0b074188c15b>:2: FutureWarning: The default value of numeric_only in DataFrame.corr is deprecated. In a future version, it will default to False. Select only valid columns or specify the value of numeric_only to silence this warning.\n",
            "  sns.heatmap(df_wine.corr(), annot=True, fmt=\".0%\")\n"
          ]
        },
        {
          "data": {
            "image/png": 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",
            "text/plain": [
              "<Figure size 800x400 with 2 Axes>"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        },
        {
          "data": {
            "text/plain": [
              "<seaborn.axisgrid.FacetGrid at 0x7f1a7e21bb50>"
            ]
          },
          "execution_count": 72,
          "metadata": {},
          "output_type": "execute_result"
        },
        {
          "data": {
            "image/png": 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",
            "text/plain": [
              "<Figure size 600.25x500 with 1 Axes>"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        }
      ],
      "source": [
        "plt.figure(figsize=(8, 4))\n",
        "sns.heatmap(df_wine.corr(), annot=True, fmt=\".0%\")\n",
        "plt.show()\n",
        "sns.FacetGrid(df_wine, hue=\"class\", height=5).map(plt.scatter, \"alcohol\", \"proline\").add_legend()"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 73,
      "metadata": {
        "id": "zYok--0V8BDZ"
      },
      "outputs": [],
      "source": [
        "# Splitting data\n",
        "X_wine = df_wine.iloc[:, :-2]  # Exclude 'target' and 'class' columns\n",
        "Y_wine = df_wine[\"class\"]"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 74,
      "metadata": {
        "id": "4-gF4wYn8BzQ"
      },
      "outputs": [],
      "source": [
        "# Feature scaling\n",
        "scaler_wine = StandardScaler()\n",
        "X_scaled_wine = scaler_wine.fit_transform(X_wine)\n",
        "X_train_wine, X_test_wine, Y_train_wine, Y_test_wine = train_test_split(X_scaled_wine, Y_wine, test_size=0.25, random_state=0)"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 75,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "VwnrHuty8Guo",
        "outputId": "0a404eab-a4e4-4184-c627-864692e10bee"
      },
      "outputs": [
        {
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "Confusion Matrix:\n",
            " [[16  0  0]\n",
            " [ 0 21  0]\n",
            " [ 0  0  8]]\n",
            "Accuracy of Logistic Regression on Wine dataset: 1.0\n"
          ]
        }
      ],
      "source": [
        "# Fitting Logistic Regression to the Training set\n",
        "log_wine = LogisticRegression()\n",
        "log_wine.fit(X_train_wine, Y_train_wine)\n",
        "\n",
        "# Predicting the test result\n",
        "prediction_wine = log_wine.predict(X_test_wine)\n",
        "\n",
        "# Test accuracy of the result (Creation of Confusion matrix)\n",
        "conf_matrix_wine = metrics.confusion_matrix(Y_test_wine, prediction_wine)\n",
        "accuracy_wine = metrics.accuracy_score(Y_test_wine, prediction_wine)\n",
        "\n",
        "print('Confusion Matrix:\\n', conf_matrix_wine)\n",
        "print('Accuracy of Logistic Regression on Wine dataset:', accuracy_wine)"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 76,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 472
        },
        "id": "9RaH2YHT6xnJ",
        "outputId": "5e08afd6-3f38-4264-ed15-e4e02e38082a"
      },
      "outputs": [
        {
          "data": {
            "image/png": 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",
            "text/plain": [
              "<Figure size 640x480 with 2 Axes>"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        }
      ],
      "source": [
        "# Visualizing the test set result\n",
        "sns.heatmap(conf_matrix_wine, annot=True, fmt='d', cmap='Blues', xticklabels=wine.target_names, yticklabels=wine.target_names)\n",
        "plt.xlabel('Predicted Label')\n",
        "plt.ylabel('True Label')\n",
        "plt.title('Confusion Matrix - Wine dataset')\n",
        "plt.show()"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 80,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 564
        },
        "id": "GMrBBKzL8i8p",
        "outputId": "1c874123-e9a8-403e-fb31-03b9b286ceae"
      },
      "outputs": [
        {
          "data": {
            "image/png": 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",
            "text/plain": [
              "<Figure size 1000x600 with 1 Axes>"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        }
      ],
      "source": [
        "# Convert labels to numeric values\n",
        "Y_test_numeric = pd.Categorical(Y_test_wine).codes\n",
        "prediction_numeric = pd.Categorical(prediction_wine).codes\n",
        "\n",
        "# Plotting actual vs predicted values with regression line\n",
        "plt.figure(figsize=(10, 6))\n",
        "\n",
        "# Scatter plot of actual vs predicted values\n",
        "plt.scatter(Y_test_numeric, prediction_numeric, s=50, alpha=0.7)\n",
        "\n",
        "# Fit a linear regression line\n",
        "m, b = np.polyfit(Y_test_numeric, prediction_numeric, 1)\n",
        "plt.plot(Y_test_numeric, m * Y_test_numeric + b, color='red')\n",
        "\n",
        "plt.title('Actual vs Predicted Values - Wine dataset')\n",
        "plt.xlabel('Actual Class')\n",
        "plt.ylabel('Predicted Class')\n",
        "plt.show()\n"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {},
      "source": [
        "# Logistic Regression without Sklearn"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 2,
      "metadata": {},
      "outputs": [
        {
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "Iris dataset accuracy:  1.0\n",
            "Wine dataset accuracy:  0.9722222222222222\n"
          ]
        }
      ],
      "source": [
        "import numpy as np\n",
        "from sklearn.datasets import load_iris, load_wine\n",
        "\n",
        "# Load the datasets\n",
        "iris = load_iris()\n",
        "wine = load_wine()\n",
        "\n",
        "# Standardize the features\n",
        "def standardize(X):\n",
        "    return (X - np.mean(X, axis=0)) / np.std(X, axis=0)\n",
        "\n",
        "X_iris = standardize(iris.data)\n",
        "X_wine = standardize(wine.data)\n",
        "\n",
        "# Get the targets\n",
        "y_iris = (iris.target != 0) * 1  # make it binary classification\n",
        "y_wine = (wine.target != 0) * 1  # make it binary classification\n",
        "\n",
        "# Split the dataset into training and testing sets\n",
        "def split_train_test(X, y, test_size=0.2):\n",
        "    indices = np.arange(X.shape[0])\n",
        "    np.random.shuffle(indices)\n",
        "    split = int(X.shape[0] * (1 - test_size))\n",
        "    train_idx, test_idx = indices[:split], indices[split:]\n",
        "    return X[train_idx], X[test_idx], y[train_idx], y[test_idx]\n",
        "\n",
        "X_iris_train, X_iris_test, y_iris_train, y_iris_test = split_train_test(X_iris, y_iris)\n",
        "X_wine_train, X_wine_test, y_wine_train, y_wine_test = split_train_test(X_wine, y_wine)\n",
        "\n",
        "# Implement the sigmoid function\n",
        "def sigmoid(z):\n",
        "    return 1 / (1 + np.exp(-z))\n",
        "\n",
        "# Implement the cost function\n",
        "def cost_function(y, y_hat):\n",
        "    return -np.mean(y * np.log(y_hat) + (1 - y) * np.log(1 - y_hat))\n",
        "\n",
        "# Implement the gradient descent algorithm\n",
        "def gradient_descent(X, y, learning_rate, epochs):\n",
        "    weights = np.zeros(X.shape[1])\n",
        "    bias = 0\n",
        "    for _ in range(epochs):\n",
        "        y_hat = sigmoid(np.dot(X, weights) + bias)\n",
        "        dW = np.dot(X.T, (y_hat - y)) / y.size\n",
        "        db = np.sum(y_hat - y) / y.size\n",
        "        weights -= learning_rate * dW\n",
        "        bias -= learning_rate * db\n",
        "    return weights, bias\n",
        "\n",
        "# Train the model using the gradient descent algorithm\n",
        "weights_iris, bias_iris = gradient_descent(X_iris_train, y_iris_train, learning_rate=0.01, epochs=1000)\n",
        "weights_wine, bias_wine = gradient_descent(X_wine_train, y_wine_train, learning_rate=0.01, epochs=1000)\n",
        "\n",
        "# Make predictions using the trained model\n",
        "y_hat_iris = sigmoid(np.dot(X_iris_test, weights_iris) + bias_iris)\n",
        "y_hat_wine = sigmoid(np.dot(X_wine_test, weights_wine) + bias_wine)\n",
        "\n",
        "# Convert probabilities to class labels\n",
        "y_pred_iris = y_hat_iris.round()\n",
        "y_pred_wine = y_hat_wine.round()\n",
        "\n",
        "# Calculate accuracy\n",
        "def accuracy(y, y_pred):\n",
        "    return np.mean(y == y_pred)\n",
        "\n",
        "print(\"Iris dataset accuracy: \", accuracy(y_iris_test, y_pred_iris))\n",
        "print(\"Wine dataset accuracy: \", accuracy(y_wine_test, y_pred_wine))"
      ]
    }
  ],
  "metadata": {
    "colab": {
      "authorship_tag": "ABX9TyMjPRpXBTZBA6ohD7rCBDfU",
      "include_colab_link": true,
      "provenance": []
    },
    "kernelspec": {
      "display_name": "Python 3",
      "name": "python3"
    },
    "language_info": {
      "codemirror_mode": {
        "name": "ipython",
        "version": 3
      },
      "file_extension": ".py",
      "mimetype": "text/x-python",
      "name": "python",
      "nbconvert_exporter": "python",
      "pygments_lexer": "ipython3",
      "version": "3.12.1"
    }
  },
  "nbformat": 4,
  "nbformat_minor": 0
}