LogisticRegression.ipynb

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      "source": [
        "#Logistic Regression\n",
        "\n",
        "Iris Dataset"
      ],
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      }
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        "id": "mvNvudN6SoXE"
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      "source": [
        "import pandas as pd"
      ]
    },
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      "source": [
        "data = pd.read_csv(r\"/content/Iris Data.csv\")\n",
        "\n",
        "X = data.iloc[:,:-1]\n",
        "y = data.iloc[:,-1]"
      ],
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      "execution_count": 28,
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      "source": [
        "data.head()"
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        {
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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",
              "  Species  \n",
              "0  Setosa  \n",
              "1  Setosa  \n",
              "2  Setosa  \n",
              "3  Setosa  \n",
              "4  Setosa  "
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              "      <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",
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              "      <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>Setosa</td>\n",
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              "      <th>1</th>\n",
              "      <td>4.9</td>\n",
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              "      <td>Setosa</td>\n",
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              "summary": "{\n  \"name\": \"data\",\n  \"rows\": 31,\n  \"fields\": [\n    {\n      \"column\": \"Sepal Length (cm)\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 0.9551783034584952,\n        \"min\": 4.4,\n        \"max\": 7.6,\n        \"num_unique_values\": 22,\n        \"samples\": [\n          5.1,\n          6.3,\n          6.4\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"Sepal Width (cm)\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 0.35359900744277584,\n        \"min\": 2.3,\n        \"max\": 3.9,\n        \"num_unique_values\": 14,\n        \"samples\": [\n          2.8,\n          2.4,\n          3.5\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"Petal Length (cm)\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 1.8566069178239717,\n        \"min\": 1.3,\n        \"max\": 6.6,\n        \"num_unique_values\": 19,\n        \"samples\": [\n          1.4,\n          4.5,\n          6.0\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"Petal Width (cm)\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 0.809845332372541,\n        \"min\": 0.1,\n        \"max\": 2.5,\n        \"num_unique_values\": 17,\n        \"samples\": [\n          0.2,\n          0.4,\n          1.5\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"Species\",\n      \"properties\": {\n        \"dtype\": \"category\",\n        \"num_unique_values\": 3,\n        \"samples\": [\n          \"Setosa\",\n          \"Versicolor\",\n          \"Virginica\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    }\n  ]\n}"
            }
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          "execution_count": 3
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      "source": [
        "import seaborn as sns\n",
        "from matplotlib import pyplot as plt\n",
        "sns.pairplot(data, vars = ['Sepal Length (cm)', 'Sepal Width (cm)', 'Petal Length (cm)', 'Petal Width (cm)'], hue = 'Species')\n",
        "plt.show()"
      ],
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      "execution_count": 8,
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        {
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            "text/plain": [
              "<Figure size 1117.88x1000 with 20 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "from sklearn.model_selection import train_test_split\n",
        "X_train, X_test, y_train, y_test = train_test_split(X, y, test_size=0.3)"
      ],
      "metadata": {
        "id": "Vq97fTcxTLQP"
      },
      "execution_count": 11,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "from sklearn.preprocessing import StandardScaler\n",
        "\n",
        "scaler = StandardScaler()\n",
        "X_train_scaled = scaler.fit_transform(X_train)\n",
        "X_test_scaled = scaler.transform(X_test)"
      ],
      "metadata": {
        "id": "meT2gkZqTvMb"
      },
      "execution_count": 13,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "from sklearn.linear_model import LogisticRegression\n",
        "\n",
        "lg = LogisticRegression()\n",
        "lg.fit(X_train_scaled, y_train)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 80
        },
        "id": "pLag70VSUVqI",
        "outputId": "845122a0-b103-4709-c97e-9760acf896ea"
      },
      "execution_count": 15,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "LogisticRegression()"
            ],
            "text/html": [
              "<style>#sk-container-id-1 {\n",
              "  /* Definition of color scheme common for light and dark mode */\n",
              "  --sklearn-color-text: black;\n",
              "  --sklearn-color-line: gray;\n",
              "  /* Definition of color scheme for unfitted estimators */\n",
              "  --sklearn-color-unfitted-level-0: #fff5e6;\n",
              "  --sklearn-color-unfitted-level-1: #f6e4d2;\n",
              "  --sklearn-color-unfitted-level-2: #ffe0b3;\n",
              "  --sklearn-color-unfitted-level-3: chocolate;\n",
              "  /* Definition of color scheme for fitted estimators */\n",
              "  --sklearn-color-fitted-level-0: #f0f8ff;\n",
              "  --sklearn-color-fitted-level-1: #d4ebff;\n",
              "  --sklearn-color-fitted-level-2: #b3dbfd;\n",
              "  --sklearn-color-fitted-level-3: cornflowerblue;\n",
              "\n",
              "  /* Specific color for light theme */\n",
              "  --sklearn-color-text-on-default-background: var(--sg-text-color, var(--theme-code-foreground, var(--jp-content-font-color1, black)));\n",
              "  --sklearn-color-background: var(--sg-background-color, var(--theme-background, var(--jp-layout-color0, white)));\n",
              "  --sklearn-color-border-box: var(--sg-text-color, var(--theme-code-foreground, var(--jp-content-font-color1, black)));\n",
              "  --sklearn-color-icon: #696969;\n",
              "\n",
              "  @media (prefers-color-scheme: dark) {\n",
              "    /* Redefinition of color scheme for dark theme */\n",
              "    --sklearn-color-text-on-default-background: var(--sg-text-color, var(--theme-code-foreground, var(--jp-content-font-color1, white)));\n",
              "    --sklearn-color-background: var(--sg-background-color, var(--theme-background, var(--jp-layout-color0, #111)));\n",
              "    --sklearn-color-border-box: var(--sg-text-color, var(--theme-code-foreground, var(--jp-content-font-color1, white)));\n",
              "    --sklearn-color-icon: #878787;\n",
              "  }\n",
              "}\n",
              "\n",
              "#sk-container-id-1 {\n",
              "  color: var(--sklearn-color-text);\n",
              "}\n",
              "\n",
              "#sk-container-id-1 pre {\n",
              "  padding: 0;\n",
              "}\n",
              "\n",
              "#sk-container-id-1 input.sk-hidden--visually {\n",
              "  border: 0;\n",
              "  clip: rect(1px 1px 1px 1px);\n",
              "  clip: rect(1px, 1px, 1px, 1px);\n",
              "  height: 1px;\n",
              "  margin: -1px;\n",
              "  overflow: hidden;\n",
              "  padding: 0;\n",
              "  position: absolute;\n",
              "  width: 1px;\n",
              "}\n",
              "\n",
              "#sk-container-id-1 div.sk-dashed-wrapped {\n",
              "  border: 1px dashed var(--sklearn-color-line);\n",
              "  margin: 0 0.4em 0.5em 0.4em;\n",
              "  box-sizing: border-box;\n",
              "  padding-bottom: 0.4em;\n",
              "  background-color: var(--sklearn-color-background);\n",
              "}\n",
              "\n",
              "#sk-container-id-1 div.sk-container {\n",
              "  /* jupyter's `normalize.less` sets `[hidden] { display: none; }`\n",
              "     but bootstrap.min.css set `[hidden] { display: none !important; }`\n",
              "     so we also need the `!important` here to be able to override the\n",
              "     default hidden behavior on the sphinx rendered scikit-learn.org.\n",
              "     See: https://github.com/scikit-learn/scikit-learn/issues/21755 */\n",
              "  display: inline-block !important;\n",
              "  position: relative;\n",
              "}\n",
              "\n",
              "#sk-container-id-1 div.sk-text-repr-fallback {\n",
              "  display: none;\n",
              "}\n",
              "\n",
              "div.sk-parallel-item,\n",
              "div.sk-serial,\n",
              "div.sk-item {\n",
              "  /* draw centered vertical line to link estimators */\n",
              "  background-image: linear-gradient(var(--sklearn-color-text-on-default-background), var(--sklearn-color-text-on-default-background));\n",
              "  background-size: 2px 100%;\n",
              "  background-repeat: no-repeat;\n",
              "  background-position: center center;\n",
              "}\n",
              "\n",
              "/* Parallel-specific style estimator block */\n",
              "\n",
              "#sk-container-id-1 div.sk-parallel-item::after {\n",
              "  content: \"\";\n",
              "  width: 100%;\n",
              "  border-bottom: 2px solid var(--sklearn-color-text-on-default-background);\n",
              "  flex-grow: 1;\n",
              "}\n",
              "\n",
              "#sk-container-id-1 div.sk-parallel {\n",
              "  display: flex;\n",
              "  align-items: stretch;\n",
              "  justify-content: center;\n",
              "  background-color: var(--sklearn-color-background);\n",
              "  position: relative;\n",
              "}\n",
              "\n",
              "#sk-container-id-1 div.sk-parallel-item {\n",
              "  display: flex;\n",
              "  flex-direction: column;\n",
              "}\n",
              "\n",
              "#sk-container-id-1 div.sk-parallel-item:first-child::after {\n",
              "  align-self: flex-end;\n",
              "  width: 50%;\n",
              "}\n",
              "\n",
              "#sk-container-id-1 div.sk-parallel-item:last-child::after {\n",
              "  align-self: flex-start;\n",
              "  width: 50%;\n",
              "}\n",
              "\n",
              "#sk-container-id-1 div.sk-parallel-item:only-child::after {\n",
              "  width: 0;\n",
              "}\n",
              "\n",
              "/* Serial-specific style estimator block */\n",
              "\n",
              "#sk-container-id-1 div.sk-serial {\n",
              "  display: flex;\n",
              "  flex-direction: column;\n",
              "  align-items: center;\n",
              "  background-color: var(--sklearn-color-background);\n",
              "  padding-right: 1em;\n",
              "  padding-left: 1em;\n",
              "}\n",
              "\n",
              "\n",
              "/* Toggleable style: style used for estimator/Pipeline/ColumnTransformer box that is\n",
              "clickable and can be expanded/collapsed.\n",
              "- Pipeline and ColumnTransformer use this feature and define the default style\n",
              "- Estimators will overwrite some part of the style using the `sk-estimator` class\n",
              "*/\n",
              "\n",
              "/* Pipeline and ColumnTransformer style (default) */\n",
              "\n",
              "#sk-container-id-1 div.sk-toggleable {\n",
              "  /* Default theme specific background. It is overwritten whether we have a\n",
              "  specific estimator or a Pipeline/ColumnTransformer */\n",
              "  background-color: var(--sklearn-color-background);\n",
              "}\n",
              "\n",
              "/* Toggleable label */\n",
              "#sk-container-id-1 label.sk-toggleable__label {\n",
              "  cursor: pointer;\n",
              "  display: block;\n",
              "  width: 100%;\n",
              "  margin-bottom: 0;\n",
              "  padding: 0.5em;\n",
              "  box-sizing: border-box;\n",
              "  text-align: center;\n",
              "}\n",
              "\n",
              "#sk-container-id-1 label.sk-toggleable__label-arrow:before {\n",
              "  /* Arrow on the left of the label */\n",
              "  content: \"▸\";\n",
              "  float: left;\n",
              "  margin-right: 0.25em;\n",
              "  color: var(--sklearn-color-icon);\n",
              "}\n",
              "\n",
              "#sk-container-id-1 label.sk-toggleable__label-arrow:hover:before {\n",
              "  color: var(--sklearn-color-text);\n",
              "}\n",
              "\n",
              "/* Toggleable content - dropdown */\n",
              "\n",
              "#sk-container-id-1 div.sk-toggleable__content {\n",
              "  max-height: 0;\n",
              "  max-width: 0;\n",
              "  overflow: hidden;\n",
              "  text-align: left;\n",
              "  /* unfitted */\n",
              "  background-color: var(--sklearn-color-unfitted-level-0);\n",
              "}\n",
              "\n",
              "#sk-container-id-1 div.sk-toggleable__content.fitted {\n",
              "  /* fitted */\n",
              "  background-color: var(--sklearn-color-fitted-level-0);\n",
              "}\n",
              "\n",
              "#sk-container-id-1 div.sk-toggleable__content pre {\n",
              "  margin: 0.2em;\n",
              "  border-radius: 0.25em;\n",
              "  color: var(--sklearn-color-text);\n",
              "  /* unfitted */\n",
              "  background-color: var(--sklearn-color-unfitted-level-0);\n",
              "}\n",
              "\n",
              "#sk-container-id-1 div.sk-toggleable__content.fitted pre {\n",
              "  /* unfitted */\n",
              "  background-color: var(--sklearn-color-fitted-level-0);\n",
              "}\n",
              "\n",
              "#sk-container-id-1 input.sk-toggleable__control:checked~div.sk-toggleable__content {\n",
              "  /* Expand drop-down */\n",
              "  max-height: 200px;\n",
              "  max-width: 100%;\n",
              "  overflow: auto;\n",
              "}\n",
              "\n",
              "#sk-container-id-1 input.sk-toggleable__control:checked~label.sk-toggleable__label-arrow:before {\n",
              "  content: \"▾\";\n",
              "}\n",
              "\n",
              "/* Pipeline/ColumnTransformer-specific style */\n",
              "\n",
              "#sk-container-id-1 div.sk-label input.sk-toggleable__control:checked~label.sk-toggleable__label {\n",
              "  color: var(--sklearn-color-text);\n",
              "  background-color: var(--sklearn-color-unfitted-level-2);\n",
              "}\n",
              "\n",
              "#sk-container-id-1 div.sk-label.fitted input.sk-toggleable__control:checked~label.sk-toggleable__label {\n",
              "  background-color: var(--sklearn-color-fitted-level-2);\n",
              "}\n",
              "\n",
              "/* Estimator-specific style */\n",
              "\n",
              "/* Colorize estimator box */\n",
              "#sk-container-id-1 div.sk-estimator input.sk-toggleable__control:checked~label.sk-toggleable__label {\n",
              "  /* unfitted */\n",
              "  background-color: var(--sklearn-color-unfitted-level-2);\n",
              "}\n",
              "\n",
              "#sk-container-id-1 div.sk-estimator.fitted input.sk-toggleable__control:checked~label.sk-toggleable__label {\n",
              "  /* fitted */\n",
              "  background-color: var(--sklearn-color-fitted-level-2);\n",
              "}\n",
              "\n",
              "#sk-container-id-1 div.sk-label label.sk-toggleable__label,\n",
              "#sk-container-id-1 div.sk-label label {\n",
              "  /* The background is the default theme color */\n",
              "  color: var(--sklearn-color-text-on-default-background);\n",
              "}\n",
              "\n",
              "/* On hover, darken the color of the background */\n",
              "#sk-container-id-1 div.sk-label:hover label.sk-toggleable__label {\n",
              "  color: var(--sklearn-color-text);\n",
              "  background-color: var(--sklearn-color-unfitted-level-2);\n",
              "}\n",
              "\n",
              "/* Label box, darken color on hover, fitted */\n",
              "#sk-container-id-1 div.sk-label.fitted:hover label.sk-toggleable__label.fitted {\n",
              "  color: var(--sklearn-color-text);\n",
              "  background-color: var(--sklearn-color-fitted-level-2);\n",
              "}\n",
              "\n",
              "/* Estimator label */\n",
              "\n",
              "#sk-container-id-1 div.sk-label label {\n",
              "  font-family: monospace;\n",
              "  font-weight: bold;\n",
              "  display: inline-block;\n",
              "  line-height: 1.2em;\n",
              "}\n",
              "\n",
              "#sk-container-id-1 div.sk-label-container {\n",
              "  text-align: center;\n",
              "}\n",
              "\n",
              "/* Estimator-specific */\n",
              "#sk-container-id-1 div.sk-estimator {\n",
              "  font-family: monospace;\n",
              "  border: 1px dotted var(--sklearn-color-border-box);\n",
              "  border-radius: 0.25em;\n",
              "  box-sizing: border-box;\n",
              "  margin-bottom: 0.5em;\n",
              "  /* unfitted */\n",
              "  background-color: var(--sklearn-color-unfitted-level-0);\n",
              "}\n",
              "\n",
              "#sk-container-id-1 div.sk-estimator.fitted {\n",
              "  /* fitted */\n",
              "  background-color: var(--sklearn-color-fitted-level-0);\n",
              "}\n",
              "\n",
              "/* on hover */\n",
              "#sk-container-id-1 div.sk-estimator:hover {\n",
              "  /* unfitted */\n",
              "  background-color: var(--sklearn-color-unfitted-level-2);\n",
              "}\n",
              "\n",
              "#sk-container-id-1 div.sk-estimator.fitted:hover {\n",
              "  /* fitted */\n",
              "  background-color: var(--sklearn-color-fitted-level-2);\n",
              "}\n",
              "\n",
              "/* Specification for estimator info (e.g. \"i\" and \"?\") */\n",
              "\n",
              "/* Common style for \"i\" and \"?\" */\n",
              "\n",
              ".sk-estimator-doc-link,\n",
              "a:link.sk-estimator-doc-link,\n",
              "a:visited.sk-estimator-doc-link {\n",
              "  float: right;\n",
              "  font-size: smaller;\n",
              "  line-height: 1em;\n",
              "  font-family: monospace;\n",
              "  background-color: var(--sklearn-color-background);\n",
              "  border-radius: 1em;\n",
              "  height: 1em;\n",
              "  width: 1em;\n",
              "  text-decoration: none !important;\n",
              "  margin-left: 1ex;\n",
              "  /* unfitted */\n",
              "  border: var(--sklearn-color-unfitted-level-1) 1pt solid;\n",
              "  color: var(--sklearn-color-unfitted-level-1);\n",
              "}\n",
              "\n",
              ".sk-estimator-doc-link.fitted,\n",
              "a:link.sk-estimator-doc-link.fitted,\n",
              "a:visited.sk-estimator-doc-link.fitted {\n",
              "  /* fitted */\n",
              "  border: var(--sklearn-color-fitted-level-1) 1pt solid;\n",
              "  color: var(--sklearn-color-fitted-level-1);\n",
              "}\n",
              "\n",
              "/* On hover */\n",
              "div.sk-estimator:hover .sk-estimator-doc-link:hover,\n",
              ".sk-estimator-doc-link:hover,\n",
              "div.sk-label-container:hover .sk-estimator-doc-link:hover,\n",
              ".sk-estimator-doc-link:hover {\n",
              "  /* unfitted */\n",
              "  background-color: var(--sklearn-color-unfitted-level-3);\n",
              "  color: var(--sklearn-color-background);\n",
              "  text-decoration: none;\n",
              "}\n",
              "\n",
              "div.sk-estimator.fitted:hover .sk-estimator-doc-link.fitted:hover,\n",
              ".sk-estimator-doc-link.fitted:hover,\n",
              "div.sk-label-container:hover .sk-estimator-doc-link.fitted:hover,\n",
              ".sk-estimator-doc-link.fitted:hover {\n",
              "  /* fitted */\n",
              "  background-color: var(--sklearn-color-fitted-level-3);\n",
              "  color: var(--sklearn-color-background);\n",
              "  text-decoration: none;\n",
              "}\n",
              "\n",
              "/* Span, style for the box shown on hovering the info icon */\n",
              ".sk-estimator-doc-link span {\n",
              "  display: none;\n",
              "  z-index: 9999;\n",
              "  position: relative;\n",
              "  font-weight: normal;\n",
              "  right: .2ex;\n",
              "  padding: .5ex;\n",
              "  margin: .5ex;\n",
              "  width: min-content;\n",
              "  min-width: 20ex;\n",
              "  max-width: 50ex;\n",
              "  color: var(--sklearn-color-text);\n",
              "  box-shadow: 2pt 2pt 4pt #999;\n",
              "  /* unfitted */\n",
              "  background: var(--sklearn-color-unfitted-level-0);\n",
              "  border: .5pt solid var(--sklearn-color-unfitted-level-3);\n",
              "}\n",
              "\n",
              ".sk-estimator-doc-link.fitted span {\n",
              "  /* fitted */\n",
              "  background: var(--sklearn-color-fitted-level-0);\n",
              "  border: var(--sklearn-color-fitted-level-3);\n",
              "}\n",
              "\n",
              ".sk-estimator-doc-link:hover span {\n",
              "  display: block;\n",
              "}\n",
              "\n",
              "/* \"?\"-specific style due to the `<a>` HTML tag */\n",
              "\n",
              "#sk-container-id-1 a.estimator_doc_link {\n",
              "  float: right;\n",
              "  font-size: 1rem;\n",
              "  line-height: 1em;\n",
              "  font-family: monospace;\n",
              "  background-color: var(--sklearn-color-background);\n",
              "  border-radius: 1rem;\n",
              "  height: 1rem;\n",
              "  width: 1rem;\n",
              "  text-decoration: none;\n",
              "  /* unfitted */\n",
              "  color: var(--sklearn-color-unfitted-level-1);\n",
              "  border: var(--sklearn-color-unfitted-level-1) 1pt solid;\n",
              "}\n",
              "\n",
              "#sk-container-id-1 a.estimator_doc_link.fitted {\n",
              "  /* fitted */\n",
              "  border: var(--sklearn-color-fitted-level-1) 1pt solid;\n",
              "  color: var(--sklearn-color-fitted-level-1);\n",
              "}\n",
              "\n",
              "/* On hover */\n",
              "#sk-container-id-1 a.estimator_doc_link:hover {\n",
              "  /* unfitted */\n",
              "  background-color: var(--sklearn-color-unfitted-level-3);\n",
              "  color: var(--sklearn-color-background);\n",
              "  text-decoration: none;\n",
              "}\n",
              "\n",
              "#sk-container-id-1 a.estimator_doc_link.fitted:hover {\n",
              "  /* fitted */\n",
              "  background-color: var(--sklearn-color-fitted-level-3);\n",
              "}\n",
              "</style><div id=\"sk-container-id-1\" class=\"sk-top-container\"><div class=\"sk-text-repr-fallback\"><pre>LogisticRegression()</pre><b>In a Jupyter environment, please rerun this cell to show the HTML representation or trust the notebook. <br />On GitHub, the HTML representation is unable to render, please try loading this page with nbviewer.org.</b></div><div class=\"sk-container\" hidden><div class=\"sk-item\"><div class=\"sk-estimator fitted sk-toggleable\"><input class=\"sk-toggleable__control sk-hidden--visually\" id=\"sk-estimator-id-1\" type=\"checkbox\" checked><label for=\"sk-estimator-id-1\" class=\"sk-toggleable__label fitted sk-toggleable__label-arrow fitted\">&nbsp;&nbsp;LogisticRegression<a class=\"sk-estimator-doc-link fitted\" rel=\"noreferrer\" target=\"_blank\" href=\"https://scikit-learn.org/1.5/modules/generated/sklearn.linear_model.LogisticRegression.html\">?<span>Documentation for LogisticRegression</span></a><span class=\"sk-estimator-doc-link fitted\">i<span>Fitted</span></span></label><div class=\"sk-toggleable__content fitted\"><pre>LogisticRegression()</pre></div> </div></div></div></div>"
            ]
          },
          "metadata": {},
          "execution_count": 15
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "y_pred = lg.predict(X_test_scaled)"
      ],
      "metadata": {
        "id": "d828549dUmz1"
      },
      "execution_count": 17,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "print(\"Intercept: \", lg.intercept_)\n",
        "print(\"Slope: \", lg.coef_)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "47WQXTREUq0j",
        "outputId": "ebfe3ee5-6727-4709-9911-ad37e5e909f3"
      },
      "execution_count": 18,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Intercept:  [-0.55885025  1.01693991 -0.45808967]\n",
            "Slope:  [[-0.68836708  0.54442457 -0.96016852 -0.95553442]\n",
            " [ 0.2504125  -0.21894346 -0.10167327 -0.33605663]\n",
            " [ 0.43795457 -0.32548111  1.06184179  1.29159105]]\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "from sklearn.metrics import confusion_matrix, accuracy_score, classification_report\n",
        "\n",
        "print(\"Confusion Matrix: \\n\", confusion_matrix(y_test, y_pred))\n",
        "print(\"\\nAccuracy: \\n\", accuracy_score(y_test, y_pred))\n",
        "print(\"\\nClassification Report: \", classification_report(y_test, y_pred))"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "NC3OAxHAU1AY",
        "outputId": "aae3f167-6e03-45e2-b3cd-79939c17d22b"
      },
      "execution_count": 21,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Confusion Matrix: \n",
            " [[4 0 0]\n",
            " [0 3 0]\n",
            " [0 1 2]]\n",
            "\n",
            "Accuracy: \n",
            " 0.9\n",
            "\n",
            "Classification Report:                precision    recall  f1-score   support\n",
            "\n",
            "      Setosa       1.00      1.00      1.00         4\n",
            "  Versicolor       0.75      1.00      0.86         3\n",
            "   Virginica       1.00      0.67      0.80         3\n",
            "\n",
            "    accuracy                           0.90        10\n",
            "   macro avg       0.92      0.89      0.89        10\n",
            "weighted avg       0.93      0.90      0.90        10\n",
            "\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "class_labels = data['Species'].unique()"
      ],
      "metadata": {
        "id": "GedZpru8Wp3L"
      },
      "execution_count": 37,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "sns.heatmap(confusion_matrix(y_test, y_pred), annot = True, fmt = 'd', cmap = 'Blues', xticklabels = class_labels, yticklabels = class_labels)\n",
        "plt.show()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 435
        },
        "id": "pUNEMnFwVFPI",
        "outputId": "6e9368c1-e876-4dc5-8cd4-76de52100baa"
      },
      "execution_count": 38,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 640x480 with 2 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {}
        }
      ]
    }
  ]
}