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      "execution_count": null,
      "metadata": {
        "id": "sJr_8nLtq1N-"
      },
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      "source": [
        "import numpy as np\n",
        "import pandas as pd\n",
        "import matplotlib.pyplot as plt\n",
        "import plotly.express as px\n",
        "import seaborn as sns\n",
        "from sklearn.ensemble import IsolationForest\n",
        "from sklearn.linear_model import LogisticRegression\n",
        "from sklearn.model_selection import train_test_split\n",
        "\n",
        "from sklearn.svm import SVC, LinearSVC\n",
        "from sklearn.pipeline import Pipeline, make_pipeline\n",
        "from sklearn.preprocessing import Normalizer, StandardScaler\n",
        "from sklearn.ensemble import RandomForestClassifier, AdaBoostClassifier, StackingClassifier\n",
        "from sklearn.naive_bayes import GaussianNB\n",
        "from sklearn.neighbors import KNeighborsClassifier\n",
        "from sklearn.discriminant_analysis import QuadraticDiscriminantAnalysis\n",
        "from sklearn.metrics import confusion_matrix\n",
        "from sklearn.metrics import accuracy_score, f1_score\n",
        "from imblearn.over_sampling import SMOTE\n",
        "from sklearn.model_selection import cross_val_score, cross_val_predict\n",
        "from sklearn.tree import DecisionTreeClassifier\n",
        "from sklearn.model_selection import GridSearchCV\n",
        "from sklearn.ensemble import RandomForestClassifier\n",
        "from sklearn.metrics import make_scorer, f1_score\n"
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "!pip install pycaret"
      ],
      "metadata": {
        "colab": {
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        },
        "id": "1TB6HJXALsJ3",
        "outputId": "c4d920ee-1690-46db-f213-6537e7b724c7"
      },
      "execution_count": null,
      "outputs": [
        {
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          "text": [
            "Collecting pycaret\n",
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            "Requirement already satisfied: webencodings in /usr/local/lib/python3.10/dist-packages (from bleach->nbconvert>=5->notebook>=4.4.1->widgetsnbextension~=3.6.0->ipywidgets>=7.6.5->pycaret) (0.5.1)\n",
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            "Requirement already satisfied: exceptiongroup in /usr/local/lib/python3.10/dist-packages (from anyio<4,>=3.1.0->jupyter-server>=1.8->nbclassic>=0.4.7->notebook>=4.4.1->widgetsnbextension~=3.6.0->ipywidgets>=7.6.5->pycaret) (1.1.3)\n",
            "Requirement already satisfied: pycparser in /usr/local/lib/python3.10/dist-packages (from cffi>=1.0.1->argon2-cffi-bindings->argon2-cffi->notebook>=4.4.1->widgetsnbextension~=3.6.0->ipywidgets>=7.6.5->pycaret) (2.21)\n",
            "Building wheels for collected packages: pyod\n",
            "  Building wheel for pyod (setup.py) ... \u001b[?25l\u001b[?25hdone\n",
            "  Created wheel for pyod: filename=pyod-1.1.0-py3-none-any.whl size=185329 sha256=4d045eb5fba608597f2d8cc30eea7dc66e4fc912d7b3571fafec6d479e42f491\n",
            "  Stored in directory: /root/.cache/pip/wheels/36/8e/e2/e932956b10b843eb6be9eefa70b5c1bee7b561be14c423b136\n",
            "Successfully built pyod\n",
            "Installing collected packages: trace-updater, kaleido, dash-table, dash-html-components, dash-core-components, xxhash, wurlitzer, Werkzeug, tsdownsample, scikit-base, schemdraw, retrying, orjson, jedi, deprecation, ansi2html, sktime, scikit-plot, pyod, dash, pmdarima, plotly-resampler, category-encoders, tbats, pycaret\n",
            "  Attempting uninstall: Werkzeug\n",
            "    Found existing installation: Werkzeug 2.3.7\n",
            "    Uninstalling Werkzeug-2.3.7:\n",
            "      Successfully uninstalled Werkzeug-2.3.7\n",
            "Successfully installed Werkzeug-2.2.3 ansi2html-1.8.0 category-encoders-2.6.2 dash-2.13.0 dash-core-components-2.0.0 dash-html-components-2.0.0 dash-table-5.0.0 deprecation-2.1.0 jedi-0.19.0 kaleido-0.2.1 orjson-3.9.7 plotly-resampler-0.9.1 pmdarima-2.0.3 pycaret-3.0.4 pyod-1.1.0 retrying-1.3.4 schemdraw-0.15 scikit-base-0.5.1 scikit-plot-0.3.7 sktime-0.22.0 tbats-1.1.3 trace-updater-0.0.9.1 tsdownsample-0.1.2 wurlitzer-3.0.3 xxhash-3.3.0\n"
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        "df=pd.read_csv('/content/water_potability.csv')\n",
        "df.head()"
      ],
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      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "         ph    Hardness        Solids  Chloramines     Sulfate  Conductivity  \\\n",
              "0       NaN  204.890455  20791.318981     7.300212  368.516441    564.308654   \n",
              "1  3.716080  129.422921  18630.057858     6.635246         NaN    592.885359   \n",
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              "4  9.092223  181.101509  17978.986339     6.546600  310.135738    398.410813   \n",
              "\n",
              "   Organic_carbon  Trihalomethanes  Turbidity  Potability  \n",
              "0       10.379783        86.990970   2.963135           0  \n",
              "1       15.180013        56.329076   4.500656           0  \n",
              "2       16.868637        66.420093   3.055934           0  \n",
              "3       18.436524       100.341674   4.628771           0  \n",
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            ]
          },
          "metadata": {},
          "execution_count": 2
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "df.isna().any().values"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "eIUTM448rLEV",
        "outputId": "5f638db5-a382-455e-a501-19bcfff075db"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "array([ True, False, False, False,  True, False, False,  True, False,\n",
              "       False])"
            ]
          },
          "metadata": {},
          "execution_count": 3
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "df.shape"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "kNi8SGrZszup",
        "outputId": "171d3cd0-cf3c-4ecc-9241-49c2e7db1bd9"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "(3276, 10)"
            ]
          },
          "metadata": {},
          "execution_count": 4
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "l=list(df.columns)\n",
        "l=l[:-1]\n",
        "l"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "5oT33fPbK3wA",
        "outputId": "da7f50aa-fd60-4c97-81e8-adb453a636ed"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "['ph',\n",
              " 'Hardness',\n",
              " 'Solids',\n",
              " 'Chloramines',\n",
              " 'Sulfate',\n",
              " 'Conductivity',\n",
              " 'Organic_carbon',\n",
              " 'Trihalomethanes',\n",
              " 'Turbidity']"
            ]
          },
          "metadata": {},
          "execution_count": 15
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "df1=df.dropna()\n",
        "df1.shape"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "mJCFqy4TrWNx",
        "outputId": "a2860fd7-b55e-4d00-a187-5fd1bdac8046"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "(2011, 10)"
            ]
          },
          "metadata": {},
          "execution_count": 29
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "def fun(x):\n",
        "  figure = px.histogram(df, x = x,\n",
        "                      color = \"Potability\",\n",
        "                      title= \"Factors Affecting Water Quality:\"+x)\n",
        "  figure.show()"
      ],
      "metadata": {
        "id": "ppZI1rHes6yl"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "for i in l:\n",
        "  fun(i)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 1000
        },
        "id": "RMCq5uIpKyGi",
        "outputId": "914b58a8-2a76-4f8e-b0ce-c1e5fbab25c2"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
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        "sns.heatmap(df.corr(), annot = True,fmt='.1f')\n",
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          "data": {
            "text/plain": [
              "<Figure size 800x550 with 2 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "def show_boxplots(columns: list, data: pd.DataFrame, nrows: int = 3, ncols: int = 3):\n",
        "    fig, axes = plt.subplots(nrows=nrows, ncols=ncols, figsize=(10, 15))\n",
        "    axes = axes.ravel()\n",
        "    for index, column in enumerate(columns):\n",
        "        axes[index].boxplot(data[column])\n",
        "        axes[index].set_title(column)\n",
        "\n",
        "    plt.tight_layout()\n",
        "    plt.show()"
      ],
      "metadata": {
        "id": "Fev7flPyNxMm"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "show_boxplots(df.columns[:-1], df)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 1000
        },
        "id": "SzSWUOi-Nqdf",
        "outputId": "217410f6-5e93-4c11-e309-0e0533b8ce6b"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 1000x1500 with 9 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "def visualize_isolation_forest(columns: list, data: pd.DataFrame, contamination: list,nrows: int = 2, ncols: int = 3,):\n",
        "    sns.set_style(\"darkgrid\")\n",
        "    fig, axes = plt.subplots(nrows=nrows, ncols=ncols, figsize=(15, 5))\n",
        "    axes = axes.ravel()\n",
        "    for index, i in enumerate(contamination):\n",
        "        model = IsolationForest(contamination=i)\n",
        "        model.fit(data.to_numpy())\n",
        "        sns.scatterplot(data = data[model.predict(data.to_numpy()) == -1], x = columns[0], y = columns[1], color='blue', label='Outlier', ax = axes[index])\n",
        "        sns.scatterplot(data = data[model.predict(data.to_numpy()) == 1], x = columns[0], y = columns[1], color='red', label='Normal', ax = axes[index])\n",
        "        axes[index].legend()\n",
        "        axes[index].set_title(f\"Contamination Value: {round(i,3)}\")\n",
        "    plt.show()"
      ],
      "metadata": {
        "id": "RJ1Tt-aeOCnl"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "contamination = np.arange(0.1, 0.6, 0.1)\n",
        "visualize_isolation_forest([\"ph\", \"Hardness\"], df,contamination)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 437
        },
        "id": "1cDmJD5xN8OL",
        "outputId": "a43d9a53-4585-4a78-8265-4bc7eda17925"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 1500x500 with 6 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "X,y=df[df.columns[::-1]],df[\"Potability\"]"
      ],
      "metadata": {
        "id": "3pKQCmy1OwRT"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "X_train, X_test, y_train, y_test = train_test_split(X, y, test_size = 0.25)\n",
        "models = [RandomForestClassifier(), LogisticRegression(), AdaBoostClassifier(), KNeighborsClassifier(), QuadraticDiscriminantAnalysis(), GaussianNB(), SVC(probability=True), DecisionTreeClassifier()]\n",
        "pipelines = {}\n",
        "for model in models:\n",
        "    model_name = str(model.__class__).split(\".\")[-1].split(\"'\")[0]\n",
        "    pipe = Pipeline([\n",
        "        (\"scaler\", StandardScaler()),  # Preprocessing step\n",
        "        (\"classifier\", model)  # Classifier step\n",
        "    ])\n",
        "    pipelines[model_name] = pipe\n",
        "\n",
        "\n",
        "for name,pipe in pipelines.items():\n",
        "    print(f\"Training {name}\")\n",
        "    scores = cross_val_score(pipe, X_train, y_train, cv = 5, scoring = \"accuracy\")\n",
        "    print(f\"Mean Score {scores.mean()} -- Std {scores.std()} -- Min {scores.min()} -- Max {scores.max()}\")"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "Ir-hmzj_OiTD",
        "outputId": "3cf4362c-7193-4be9-e735-9e455166c651"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Training RandomForestClassifier\n",
            "Mean Score 1.0 -- Std 0.0 -- Min 1.0 -- Max 1.0\n",
            "Training LogisticRegression\n",
            "Mean Score 1.0 -- Std 0.0 -- Min 1.0 -- Max 1.0\n",
            "Training AdaBoostClassifier\n",
            "Mean Score 1.0 -- Std 0.0 -- Min 1.0 -- Max 1.0\n",
            "Training KNeighborsClassifier\n",
            "Mean Score 0.9986754966887418 -- Std 0.001622178637604762 -- Min 0.9966887417218543 -- Max 1.0\n",
            "Training QuadraticDiscriminantAnalysis\n",
            "Mean Score 1.0 -- Std 0.0 -- Min 1.0 -- Max 1.0\n",
            "Training GaussianNB\n",
            "Mean Score 1.0 -- Std 0.0 -- Min 1.0 -- Max 1.0\n",
            "Training SVC\n",
            "Mean Score 1.0 -- Std 0.0 -- Min 1.0 -- Max 1.0\n",
            "Training DecisionTreeClassifier\n",
            "Mean Score 1.0 -- Std 0.0 -- Min 1.0 -- Max 1.0\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "from pycaret.classification import *\n",
        "clf = setup(df, target = \"Potability\")\n",
        "compare_models()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 1000,
          "referenced_widgets": [
            "5d50b4efc19344c9b95b92b55616c118",
            "3653fb63a78044519c367777292b63b0",
            "11621fbf9b914e428498dcfba5a71551",
            "f27c96dcf51f47f3ad810603b2856a02",
            "07c5763567a6493e82dd3916727423f6",
            "a8373ef4e70342a3a9c9b7ca89763ccb",
            "d0c98575b6ff4cc5b2b364026ec2729d",
            "2b6bbaba27fa4a759252a9f4a45d1d8d",
            "892d527b62844b07827eee4696293084",
            "ec29cdf1553c44cdacab08a468c95adb",
            "44a4db3d2c9c42708022f3471afd644c"
          ]
        },
        "id": "7vKRIHqALj_c",
        "outputId": "a5253a48-d726-4c01-b295-d226d8adff96"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<pandas.io.formats.style.Styler at 0x7d7d31005810>"
            ],
            "text/html": [
              "<style type=\"text/css\">\n",
              "#T_d901f_row8_col1 {\n",
              "  background-color: lightgreen;\n",
              "}\n",
              "</style>\n",
              "<table id=\"T_d901f\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr>\n",
              "      <th class=\"blank level0\" >&nbsp;</th>\n",
              "      <th id=\"T_d901f_level0_col0\" class=\"col_heading level0 col0\" >Description</th>\n",
              "      <th id=\"T_d901f_level0_col1\" class=\"col_heading level0 col1\" >Value</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th id=\"T_d901f_level0_row0\" class=\"row_heading level0 row0\" >0</th>\n",
              "      <td id=\"T_d901f_row0_col0\" class=\"data row0 col0\" >Session id</td>\n",
              "      <td id=\"T_d901f_row0_col1\" class=\"data row0 col1\" >3708</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th id=\"T_d901f_level0_row1\" class=\"row_heading level0 row1\" >1</th>\n",
              "      <td id=\"T_d901f_row1_col0\" class=\"data row1 col0\" >Target</td>\n",
              "      <td id=\"T_d901f_row1_col1\" class=\"data row1 col1\" >Potability</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th id=\"T_d901f_level0_row2\" class=\"row_heading level0 row2\" >2</th>\n",
              "      <td id=\"T_d901f_row2_col0\" class=\"data row2 col0\" >Target type</td>\n",
              "      <td id=\"T_d901f_row2_col1\" class=\"data row2 col1\" >Binary</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th id=\"T_d901f_level0_row3\" class=\"row_heading level0 row3\" >3</th>\n",
              "      <td id=\"T_d901f_row3_col0\" class=\"data row3 col0\" >Original data shape</td>\n",
              "      <td id=\"T_d901f_row3_col1\" class=\"data row3 col1\" >(2011, 10)</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th id=\"T_d901f_level0_row4\" class=\"row_heading level0 row4\" >4</th>\n",
              "      <td id=\"T_d901f_row4_col0\" class=\"data row4 col0\" >Transformed data shape</td>\n",
              "      <td id=\"T_d901f_row4_col1\" class=\"data row4 col1\" >(2011, 10)</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th id=\"T_d901f_level0_row5\" class=\"row_heading level0 row5\" >5</th>\n",
              "      <td id=\"T_d901f_row5_col0\" class=\"data row5 col0\" >Transformed train set shape</td>\n",
              "      <td id=\"T_d901f_row5_col1\" class=\"data row5 col1\" >(1407, 10)</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th id=\"T_d901f_level0_row6\" class=\"row_heading level0 row6\" >6</th>\n",
              "      <td id=\"T_d901f_row6_col0\" class=\"data row6 col0\" >Transformed test set shape</td>\n",
              "      <td id=\"T_d901f_row6_col1\" class=\"data row6 col1\" >(604, 10)</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th id=\"T_d901f_level0_row7\" class=\"row_heading level0 row7\" >7</th>\n",
              "      <td id=\"T_d901f_row7_col0\" class=\"data row7 col0\" >Numeric features</td>\n",
              "      <td id=\"T_d901f_row7_col1\" class=\"data row7 col1\" >9</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th id=\"T_d901f_level0_row8\" class=\"row_heading level0 row8\" >8</th>\n",
              "      <td id=\"T_d901f_row8_col0\" class=\"data row8 col0\" >Preprocess</td>\n",
              "      <td id=\"T_d901f_row8_col1\" class=\"data row8 col1\" >True</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th id=\"T_d901f_level0_row9\" class=\"row_heading level0 row9\" >9</th>\n",
              "      <td id=\"T_d901f_row9_col0\" class=\"data row9 col0\" >Imputation type</td>\n",
              "      <td id=\"T_d901f_row9_col1\" class=\"data row9 col1\" >simple</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th id=\"T_d901f_level0_row10\" class=\"row_heading level0 row10\" >10</th>\n",
              "      <td id=\"T_d901f_row10_col0\" class=\"data row10 col0\" >Numeric imputation</td>\n",
              "      <td id=\"T_d901f_row10_col1\" class=\"data row10 col1\" >mean</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th id=\"T_d901f_level0_row11\" class=\"row_heading level0 row11\" >11</th>\n",
              "      <td id=\"T_d901f_row11_col0\" class=\"data row11 col0\" >Categorical imputation</td>\n",
              "      <td id=\"T_d901f_row11_col1\" class=\"data row11 col1\" >mode</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th id=\"T_d901f_level0_row12\" class=\"row_heading level0 row12\" >12</th>\n",
              "      <td id=\"T_d901f_row12_col0\" class=\"data row12 col0\" >Fold Generator</td>\n",
              "      <td id=\"T_d901f_row12_col1\" class=\"data row12 col1\" >StratifiedKFold</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th id=\"T_d901f_level0_row13\" class=\"row_heading level0 row13\" >13</th>\n",
              "      <td id=\"T_d901f_row13_col0\" class=\"data row13 col0\" >Fold Number</td>\n",
              "      <td id=\"T_d901f_row13_col1\" class=\"data row13 col1\" >10</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th id=\"T_d901f_level0_row14\" class=\"row_heading level0 row14\" >14</th>\n",
              "      <td id=\"T_d901f_row14_col0\" class=\"data row14 col0\" >CPU Jobs</td>\n",
              "      <td id=\"T_d901f_row14_col1\" class=\"data row14 col1\" >-1</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th id=\"T_d901f_level0_row15\" class=\"row_heading level0 row15\" >15</th>\n",
              "      <td id=\"T_d901f_row15_col0\" class=\"data row15 col0\" >Use GPU</td>\n",
              "      <td id=\"T_d901f_row15_col1\" class=\"data row15 col1\" >False</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th id=\"T_d901f_level0_row16\" class=\"row_heading level0 row16\" >16</th>\n",
              "      <td id=\"T_d901f_row16_col0\" class=\"data row16 col0\" >Log Experiment</td>\n",
              "      <td id=\"T_d901f_row16_col1\" class=\"data row16 col1\" >False</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th id=\"T_d901f_level0_row17\" class=\"row_heading level0 row17\" >17</th>\n",
              "      <td id=\"T_d901f_row17_col0\" class=\"data row17 col0\" >Experiment Name</td>\n",
              "      <td id=\"T_d901f_row17_col1\" class=\"data row17 col1\" >clf-default-name</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th id=\"T_d901f_level0_row18\" class=\"row_heading level0 row18\" >18</th>\n",
              "      <td id=\"T_d901f_row18_col0\" class=\"data row18 col0\" >USI</td>\n",
              "      <td id=\"T_d901f_row18_col1\" class=\"data row18 col1\" >b495</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n"
            ]
          },
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        },
        {
          "output_type": "display_data",
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            "text/html": [
              "<style type=\"text/css\">\n",
              "#T_32a5b th {\n",
              "  text-align: left;\n",
              "}\n",
              "#T_32a5b_row0_col0, #T_32a5b_row0_col2, #T_32a5b_row0_col3, #T_32a5b_row0_col5, #T_32a5b_row0_col6, #T_32a5b_row1_col0, #T_32a5b_row1_col1, #T_32a5b_row1_col2, #T_32a5b_row1_col3, #T_32a5b_row1_col4, #T_32a5b_row1_col5, #T_32a5b_row1_col6, #T_32a5b_row1_col7, #T_32a5b_row2_col0, #T_32a5b_row2_col1, #T_32a5b_row2_col2, #T_32a5b_row2_col3, #T_32a5b_row2_col4, #T_32a5b_row2_col7, #T_32a5b_row3_col0, #T_32a5b_row3_col1, #T_32a5b_row3_col3, #T_32a5b_row3_col4, #T_32a5b_row3_col5, #T_32a5b_row3_col6, #T_32a5b_row3_col7, #T_32a5b_row4_col0, #T_32a5b_row4_col1, #T_32a5b_row4_col2, #T_32a5b_row4_col3, #T_32a5b_row4_col4, #T_32a5b_row4_col5, #T_32a5b_row4_col6, #T_32a5b_row4_col7, #T_32a5b_row5_col0, #T_32a5b_row5_col1, #T_32a5b_row5_col2, #T_32a5b_row5_col3, #T_32a5b_row5_col4, #T_32a5b_row5_col5, #T_32a5b_row5_col6, #T_32a5b_row5_col7, #T_32a5b_row6_col0, #T_32a5b_row6_col1, #T_32a5b_row6_col2, #T_32a5b_row6_col3, #T_32a5b_row6_col4, #T_32a5b_row6_col5, #T_32a5b_row6_col6, #T_32a5b_row6_col7, #T_32a5b_row7_col0, #T_32a5b_row7_col1, #T_32a5b_row7_col2, #T_32a5b_row7_col3, #T_32a5b_row7_col4, #T_32a5b_row7_col5, #T_32a5b_row7_col6, #T_32a5b_row7_col7, #T_32a5b_row8_col0, #T_32a5b_row8_col1, #T_32a5b_row8_col2, #T_32a5b_row8_col3, #T_32a5b_row8_col4, #T_32a5b_row8_col5, #T_32a5b_row8_col6, #T_32a5b_row8_col7, #T_32a5b_row9_col0, #T_32a5b_row9_col1, #T_32a5b_row9_col2, #T_32a5b_row9_col3, #T_32a5b_row9_col4, #T_32a5b_row9_col5, #T_32a5b_row9_col6, #T_32a5b_row9_col7, #T_32a5b_row10_col0, #T_32a5b_row10_col1, #T_32a5b_row10_col2, #T_32a5b_row10_col3, #T_32a5b_row10_col4, #T_32a5b_row10_col5, #T_32a5b_row10_col6, #T_32a5b_row10_col7, #T_32a5b_row11_col0, #T_32a5b_row11_col1, #T_32a5b_row11_col2, #T_32a5b_row11_col4, #T_32a5b_row11_col5, #T_32a5b_row11_col6, #T_32a5b_row11_col7, #T_32a5b_row12_col0, #T_32a5b_row12_col1, #T_32a5b_row12_col2, #T_32a5b_row12_col3, #T_32a5b_row12_col4, #T_32a5b_row12_col5, #T_32a5b_row12_col6, #T_32a5b_row12_col7, #T_32a5b_row13_col0, #T_32a5b_row13_col1, #T_32a5b_row13_col2, #T_32a5b_row13_col3, #T_32a5b_row13_col4, #T_32a5b_row13_col5, #T_32a5b_row13_col6, #T_32a5b_row13_col7, #T_32a5b_row14_col0, #T_32a5b_row14_col1, #T_32a5b_row14_col2, #T_32a5b_row14_col3, #T_32a5b_row14_col4, #T_32a5b_row14_col5, #T_32a5b_row14_col6, #T_32a5b_row14_col7 {\n",
              "  text-align: left;\n",
              "}\n",
              "#T_32a5b_row0_col1, #T_32a5b_row0_col4, #T_32a5b_row0_col7, #T_32a5b_row2_col5, #T_32a5b_row2_col6, #T_32a5b_row3_col2, #T_32a5b_row11_col3 {\n",
              "  text-align: left;\n",
              "  background-color: yellow;\n",
              "}\n",
              "#T_32a5b_row0_col8, #T_32a5b_row1_col8, #T_32a5b_row2_col8, #T_32a5b_row3_col8, #T_32a5b_row4_col8, #T_32a5b_row5_col8, #T_32a5b_row6_col8, #T_32a5b_row8_col8, #T_32a5b_row9_col8, #T_32a5b_row10_col8, #T_32a5b_row11_col8, #T_32a5b_row12_col8, #T_32a5b_row13_col8, #T_32a5b_row14_col8 {\n",
              "  text-align: left;\n",
              "  background-color: lightgrey;\n",
              "}\n",
              "#T_32a5b_row7_col8 {\n",
              "  text-align: left;\n",
              "  background-color: yellow;\n",
              "  background-color: lightgrey;\n",
              "}\n",
              "</style>\n",
              "<table id=\"T_32a5b\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr>\n",
              "      <th class=\"blank level0\" >&nbsp;</th>\n",
              "      <th id=\"T_32a5b_level0_col0\" class=\"col_heading level0 col0\" >Model</th>\n",
              "      <th id=\"T_32a5b_level0_col1\" class=\"col_heading level0 col1\" >Accuracy</th>\n",
              "      <th id=\"T_32a5b_level0_col2\" class=\"col_heading level0 col2\" >AUC</th>\n",
              "      <th id=\"T_32a5b_level0_col3\" class=\"col_heading level0 col3\" >Recall</th>\n",
              "      <th id=\"T_32a5b_level0_col4\" class=\"col_heading level0 col4\" >Prec.</th>\n",
              "      <th id=\"T_32a5b_level0_col5\" class=\"col_heading level0 col5\" >F1</th>\n",
              "      <th id=\"T_32a5b_level0_col6\" class=\"col_heading level0 col6\" >Kappa</th>\n",
              "      <th id=\"T_32a5b_level0_col7\" class=\"col_heading level0 col7\" >MCC</th>\n",
              "      <th id=\"T_32a5b_level0_col8\" class=\"col_heading level0 col8\" >TT (Sec)</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th id=\"T_32a5b_level0_row0\" class=\"row_heading level0 row0\" >qda</th>\n",
              "      <td id=\"T_32a5b_row0_col0\" class=\"data row0 col0\" >Quadratic Discriminant Analysis</td>\n",
              "      <td id=\"T_32a5b_row0_col1\" class=\"data row0 col1\" >0.6859</td>\n",
              "      <td id=\"T_32a5b_row0_col2\" class=\"data row0 col2\" >0.7122</td>\n",
              "      <td id=\"T_32a5b_row0_col3\" class=\"data row0 col3\" >0.4005</td>\n",
              "      <td id=\"T_32a5b_row0_col4\" class=\"data row0 col4\" >0.6923</td>\n",
              "      <td id=\"T_32a5b_row0_col5\" class=\"data row0 col5\" >0.5050</td>\n",
              "      <td id=\"T_32a5b_row0_col6\" class=\"data row0 col6\" >0.2992</td>\n",
              "      <td id=\"T_32a5b_row0_col7\" class=\"data row0 col7\" >0.3240</td>\n",
              "      <td id=\"T_32a5b_row0_col8\" class=\"data row0 col8\" >0.0610</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th id=\"T_32a5b_level0_row1\" class=\"row_heading level0 row1\" >rf</th>\n",
              "      <td id=\"T_32a5b_row1_col0\" class=\"data row1 col0\" >Random Forest Classifier</td>\n",
              "      <td id=\"T_32a5b_row1_col1\" class=\"data row1 col1\" >0.6766</td>\n",
              "      <td id=\"T_32a5b_row1_col2\" class=\"data row1 col2\" >0.7127</td>\n",
              "      <td id=\"T_32a5b_row1_col3\" class=\"data row1 col3\" >0.3846</td>\n",
              "      <td id=\"T_32a5b_row1_col4\" class=\"data row1 col4\" >0.6744</td>\n",
              "      <td id=\"T_32a5b_row1_col5\" class=\"data row1 col5\" >0.4888</td>\n",
              "      <td id=\"T_32a5b_row1_col6\" class=\"data row1 col6\" >0.2777</td>\n",
              "      <td id=\"T_32a5b_row1_col7\" class=\"data row1 col7\" >0.3016</td>\n",
              "      <td id=\"T_32a5b_row1_col8\" class=\"data row1 col8\" >0.9820</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th id=\"T_32a5b_level0_row2\" class=\"row_heading level0 row2\" >lightgbm</th>\n",
              "      <td id=\"T_32a5b_row2_col0\" class=\"data row2 col0\" >Light Gradient Boosting Machine</td>\n",
              "      <td id=\"T_32a5b_row2_col1\" class=\"data row2 col1\" >0.6766</td>\n",
              "      <td id=\"T_32a5b_row2_col2\" class=\"data row2 col2\" >0.7135</td>\n",
              "      <td id=\"T_32a5b_row2_col3\" class=\"data row2 col3\" >0.4973</td>\n",
              "      <td id=\"T_32a5b_row2_col4\" class=\"data row2 col4\" >0.6274</td>\n",
              "      <td id=\"T_32a5b_row2_col5\" class=\"data row2 col5\" >0.5531</td>\n",
              "      <td id=\"T_32a5b_row2_col6\" class=\"data row2 col6\" >0.3052</td>\n",
              "      <td id=\"T_32a5b_row2_col7\" class=\"data row2 col7\" >0.3115</td>\n",
              "      <td id=\"T_32a5b_row2_col8\" class=\"data row2 col8\" >1.7050</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th id=\"T_32a5b_level0_row3\" class=\"row_heading level0 row3\" >et</th>\n",
              "      <td id=\"T_32a5b_row3_col0\" class=\"data row3 col0\" >Extra Trees Classifier</td>\n",
              "      <td id=\"T_32a5b_row3_col1\" class=\"data row3 col1\" >0.6737</td>\n",
              "      <td id=\"T_32a5b_row3_col2\" class=\"data row3 col2\" >0.7199</td>\n",
              "      <td id=\"T_32a5b_row3_col3\" class=\"data row3 col3\" >0.3738</td>\n",
              "      <td id=\"T_32a5b_row3_col4\" class=\"data row3 col4\" >0.6736</td>\n",
              "      <td id=\"T_32a5b_row3_col5\" class=\"data row3 col5\" >0.4796</td>\n",
              "      <td id=\"T_32a5b_row3_col6\" class=\"data row3 col6\" >0.2694</td>\n",
              "      <td id=\"T_32a5b_row3_col7\" class=\"data row3 col7\" >0.2949</td>\n",
              "      <td id=\"T_32a5b_row3_col8\" class=\"data row3 col8\" >0.5960</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th id=\"T_32a5b_level0_row4\" class=\"row_heading level0 row4\" >xgboost</th>\n",
              "      <td id=\"T_32a5b_row4_col0\" class=\"data row4 col0\" >Extreme Gradient Boosting</td>\n",
              "      <td id=\"T_32a5b_row4_col1\" class=\"data row4 col1\" >0.6518</td>\n",
              "      <td id=\"T_32a5b_row4_col2\" class=\"data row4 col2\" >0.6883</td>\n",
              "      <td id=\"T_32a5b_row4_col3\" class=\"data row4 col3\" >0.4603</td>\n",
              "      <td id=\"T_32a5b_row4_col4\" class=\"data row4 col4\" >0.5872</td>\n",
              "      <td id=\"T_32a5b_row4_col5\" class=\"data row4 col5\" >0.5153</td>\n",
              "      <td id=\"T_32a5b_row4_col6\" class=\"data row4 col6\" >0.2500</td>\n",
              "      <td id=\"T_32a5b_row4_col7\" class=\"data row4 col7\" >0.2549</td>\n",
              "      <td id=\"T_32a5b_row4_col8\" class=\"data row4 col8\" >0.6470</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th id=\"T_32a5b_level0_row5\" class=\"row_heading level0 row5\" >gbc</th>\n",
              "      <td id=\"T_32a5b_row5_col0\" class=\"data row5 col0\" >Gradient Boosting Classifier</td>\n",
              "      <td id=\"T_32a5b_row5_col1\" class=\"data row5 col1\" >0.6432</td>\n",
              "      <td id=\"T_32a5b_row5_col2\" class=\"data row5 col2\" >0.6648</td>\n",
              "      <td id=\"T_32a5b_row5_col3\" class=\"data row5 col3\" >0.3279</td>\n",
              "      <td id=\"T_32a5b_row5_col4\" class=\"data row5 col4\" >0.6125</td>\n",
              "      <td id=\"T_32a5b_row5_col5\" class=\"data row5 col5\" >0.4246</td>\n",
              "      <td id=\"T_32a5b_row5_col6\" class=\"data row5 col6\" >0.1988</td>\n",
              "      <td id=\"T_32a5b_row5_col7\" class=\"data row5 col7\" >0.2208</td>\n",
              "      <td id=\"T_32a5b_row5_col8\" class=\"data row5 col8\" >0.8070</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th id=\"T_32a5b_level0_row6\" class=\"row_heading level0 row6\" >nb</th>\n",
              "      <td id=\"T_32a5b_row6_col0\" class=\"data row6 col0\" >Naive Bayes</td>\n",
              "      <td id=\"T_32a5b_row6_col1\" class=\"data row6 col1\" >0.6191</td>\n",
              "      <td id=\"T_32a5b_row6_col2\" class=\"data row6 col2\" >0.5953</td>\n",
              "      <td id=\"T_32a5b_row6_col3\" class=\"data row6 col3\" >0.2595</td>\n",
              "      <td id=\"T_32a5b_row6_col4\" class=\"data row6 col4\" >0.5606</td>\n",
              "      <td id=\"T_32a5b_row6_col5\" class=\"data row6 col5\" >0.3531</td>\n",
              "      <td id=\"T_32a5b_row6_col6\" class=\"data row6 col6\" >0.1329</td>\n",
              "      <td id=\"T_32a5b_row6_col7\" class=\"data row6 col7\" >0.1531</td>\n",
              "      <td id=\"T_32a5b_row6_col8\" class=\"data row6 col8\" >0.0610</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th id=\"T_32a5b_level0_row7\" class=\"row_heading level0 row7\" >ridge</th>\n",
              "      <td id=\"T_32a5b_row7_col0\" class=\"data row7 col0\" >Ridge Classifier</td>\n",
              "      <td id=\"T_32a5b_row7_col1\" class=\"data row7 col1\" >0.6034</td>\n",
              "      <td id=\"T_32a5b_row7_col2\" class=\"data row7 col2\" >0.0000</td>\n",
              "      <td id=\"T_32a5b_row7_col3\" class=\"data row7 col3\" >0.0318</td>\n",
              "      <td id=\"T_32a5b_row7_col4\" class=\"data row7 col4\" >0.5258</td>\n",
              "      <td id=\"T_32a5b_row7_col5\" class=\"data row7 col5\" >0.0588</td>\n",
              "      <td id=\"T_32a5b_row7_col6\" class=\"data row7 col6\" >0.0247</td>\n",
              "      <td id=\"T_32a5b_row7_col7\" class=\"data row7 col7\" >0.0593</td>\n",
              "      <td id=\"T_32a5b_row7_col8\" class=\"data row7 col8\" >0.0530</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th id=\"T_32a5b_level0_row8\" class=\"row_heading level0 row8\" >lda</th>\n",
              "      <td id=\"T_32a5b_row8_col0\" class=\"data row8 col0\" >Linear Discriminant Analysis</td>\n",
              "      <td id=\"T_32a5b_row8_col1\" class=\"data row8 col1\" >0.6027</td>\n",
              "      <td id=\"T_32a5b_row8_col2\" class=\"data row8 col2\" >0.5014</td>\n",
              "      <td id=\"T_32a5b_row8_col3\" class=\"data row8 col3\" >0.0336</td>\n",
              "      <td id=\"T_32a5b_row8_col4\" class=\"data row8 col4\" >0.5458</td>\n",
              "      <td id=\"T_32a5b_row8_col5\" class=\"data row8 col5\" >0.0619</td>\n",
              "      <td id=\"T_32a5b_row8_col6\" class=\"data row8 col6\" >0.0240</td>\n",
              "      <td id=\"T_32a5b_row8_col7\" class=\"data row8 col7\" >0.0600</td>\n",
              "      <td id=\"T_32a5b_row8_col8\" class=\"data row8 col8\" >0.0680</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th id=\"T_32a5b_level0_row9\" class=\"row_heading level0 row9\" >dummy</th>\n",
              "      <td id=\"T_32a5b_row9_col0\" class=\"data row9 col0\" >Dummy Classifier</td>\n",
              "      <td id=\"T_32a5b_row9_col1\" class=\"data row9 col1\" >0.5970</td>\n",
              "      <td id=\"T_32a5b_row9_col2\" class=\"data row9 col2\" >0.5000</td>\n",
              "      <td id=\"T_32a5b_row9_col3\" class=\"data row9 col3\" >0.0000</td>\n",
              "      <td id=\"T_32a5b_row9_col4\" class=\"data row9 col4\" >0.0000</td>\n",
              "      <td id=\"T_32a5b_row9_col5\" class=\"data row9 col5\" >0.0000</td>\n",
              "      <td id=\"T_32a5b_row9_col6\" class=\"data row9 col6\" >0.0000</td>\n",
              "      <td id=\"T_32a5b_row9_col7\" class=\"data row9 col7\" >0.0000</td>\n",
              "      <td id=\"T_32a5b_row9_col8\" class=\"data row9 col8\" >0.0650</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th id=\"T_32a5b_level0_row10\" class=\"row_heading level0 row10\" >lr</th>\n",
              "      <td id=\"T_32a5b_row10_col0\" class=\"data row10 col0\" >Logistic Regression</td>\n",
              "      <td id=\"T_32a5b_row10_col1\" class=\"data row10 col1\" >0.5963</td>\n",
              "      <td id=\"T_32a5b_row10_col2\" class=\"data row10 col2\" >0.5160</td>\n",
              "      <td id=\"T_32a5b_row10_col3\" class=\"data row10 col3\" >0.0106</td>\n",
              "      <td id=\"T_32a5b_row10_col4\" class=\"data row10 col4\" >0.4533</td>\n",
              "      <td id=\"T_32a5b_row10_col5\" class=\"data row10 col5\" >0.0205</td>\n",
              "      <td id=\"T_32a5b_row10_col6\" class=\"data row10 col6\" >0.0027</td>\n",
              "      <td id=\"T_32a5b_row10_col7\" class=\"data row10 col7\" >0.0242</td>\n",
              "      <td id=\"T_32a5b_row10_col8\" class=\"data row10 col8\" >0.0800</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th id=\"T_32a5b_level0_row11\" class=\"row_heading level0 row11\" >dt</th>\n",
              "      <td id=\"T_32a5b_row11_col0\" class=\"data row11 col0\" >Decision Tree Classifier</td>\n",
              "      <td id=\"T_32a5b_row11_col1\" class=\"data row11 col1\" >0.5892</td>\n",
              "      <td id=\"T_32a5b_row11_col2\" class=\"data row11 col2\" >0.5784</td>\n",
              "      <td id=\"T_32a5b_row11_col3\" class=\"data row11 col3\" >0.5222</td>\n",
              "      <td id=\"T_32a5b_row11_col4\" class=\"data row11 col4\" >0.4930</td>\n",
              "      <td id=\"T_32a5b_row11_col5\" class=\"data row11 col5\" >0.5062</td>\n",
              "      <td id=\"T_32a5b_row11_col6\" class=\"data row11 col6\" >0.1556</td>\n",
              "      <td id=\"T_32a5b_row11_col7\" class=\"data row11 col7\" >0.1560</td>\n",
              "      <td id=\"T_32a5b_row11_col8\" class=\"data row11 col8\" >0.0760</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th id=\"T_32a5b_level0_row12\" class=\"row_heading level0 row12\" >ada</th>\n",
              "      <td id=\"T_32a5b_row12_col0\" class=\"data row12 col0\" >Ada Boost Classifier</td>\n",
              "      <td id=\"T_32a5b_row12_col1\" class=\"data row12 col1\" >0.5828</td>\n",
              "      <td id=\"T_32a5b_row12_col2\" class=\"data row12 col2\" >0.5651</td>\n",
              "      <td id=\"T_32a5b_row12_col3\" class=\"data row12 col3\" >0.2627</td>\n",
              "      <td id=\"T_32a5b_row12_col4\" class=\"data row12 col4\" >0.4747</td>\n",
              "      <td id=\"T_32a5b_row12_col5\" class=\"data row12 col5\" >0.3353</td>\n",
              "      <td id=\"T_32a5b_row12_col6\" class=\"data row12 col6\" >0.0668</td>\n",
              "      <td id=\"T_32a5b_row12_col7\" class=\"data row12 col7\" >0.0745</td>\n",
              "      <td id=\"T_32a5b_row12_col8\" class=\"data row12 col8\" >0.3200</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th id=\"T_32a5b_level0_row13\" class=\"row_heading level0 row13\" >knn</th>\n",
              "      <td id=\"T_32a5b_row13_col0\" class=\"data row13 col0\" >K Neighbors Classifier</td>\n",
              "      <td id=\"T_32a5b_row13_col1\" class=\"data row13 col1\" >0.5628</td>\n",
              "      <td id=\"T_32a5b_row13_col2\" class=\"data row13 col2\" >0.5412</td>\n",
              "      <td id=\"T_32a5b_row13_col3\" class=\"data row13 col3\" >0.3454</td>\n",
              "      <td id=\"T_32a5b_row13_col4\" class=\"data row13 col4\" >0.4442</td>\n",
              "      <td id=\"T_32a5b_row13_col5\" class=\"data row13 col5\" >0.3877</td>\n",
              "      <td id=\"T_32a5b_row13_col6\" class=\"data row13 col6\" >0.0567</td>\n",
              "      <td id=\"T_32a5b_row13_col7\" class=\"data row13 col7\" >0.0578</td>\n",
              "      <td id=\"T_32a5b_row13_col8\" class=\"data row13 col8\" >0.0870</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th id=\"T_32a5b_level0_row14\" class=\"row_heading level0 row14\" >svm</th>\n",
              "      <td id=\"T_32a5b_row14_col0\" class=\"data row14 col0\" >SVM - Linear Kernel</td>\n",
              "      <td id=\"T_32a5b_row14_col1\" class=\"data row14 col1\" >0.5189</td>\n",
              "      <td id=\"T_32a5b_row14_col2\" class=\"data row14 col2\" >0.0000</td>\n",
              "      <td id=\"T_32a5b_row14_col3\" class=\"data row14 col3\" >0.4089</td>\n",
              "      <td id=\"T_32a5b_row14_col4\" class=\"data row14 col4\" >0.2073</td>\n",
              "      <td id=\"T_32a5b_row14_col5\" class=\"data row14 col5\" >0.2468</td>\n",
              "      <td id=\"T_32a5b_row14_col6\" class=\"data row14 col6\" >0.0023</td>\n",
              "      <td id=\"T_32a5b_row14_col7\" class=\"data row14 col7\" >0.0006</td>\n",
              "      <td id=\"T_32a5b_row14_col8\" class=\"data row14 col8\" >0.0590</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n"
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              "QuadraticDiscriminantAnalysis(priors=None, reg_param=0.0,\n",
              "                              store_covariance=False, tol=0.0001)"
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              "<style>#sk-container-id-2 {color: black;background-color: white;}#sk-container-id-2 pre{padding: 0;}#sk-container-id-2 div.sk-toggleable {background-color: white;}#sk-container-id-2 label.sk-toggleable__label {cursor: pointer;display: block;width: 100%;margin-bottom: 0;padding: 0.3em;box-sizing: border-box;text-align: center;}#sk-container-id-2 label.sk-toggleable__label-arrow:before {content: \"▸\";float: left;margin-right: 0.25em;color: #696969;}#sk-container-id-2 label.sk-toggleable__label-arrow:hover:before {color: black;}#sk-container-id-2 div.sk-estimator:hover label.sk-toggleable__label-arrow:before {color: black;}#sk-container-id-2 div.sk-toggleable__content {max-height: 0;max-width: 0;overflow: hidden;text-align: left;background-color: #f0f8ff;}#sk-container-id-2 div.sk-toggleable__content pre {margin: 0.2em;color: black;border-radius: 0.25em;background-color: #f0f8ff;}#sk-container-id-2 input.sk-toggleable__control:checked~div.sk-toggleable__content {max-height: 200px;max-width: 100%;overflow: auto;}#sk-container-id-2 input.sk-toggleable__control:checked~label.sk-toggleable__label-arrow:before {content: \"▾\";}#sk-container-id-2 div.sk-estimator input.sk-toggleable__control:checked~label.sk-toggleable__label {background-color: #d4ebff;}#sk-container-id-2 div.sk-label input.sk-toggleable__control:checked~label.sk-toggleable__label {background-color: #d4ebff;}#sk-container-id-2 input.sk-hidden--visually {border: 0;clip: rect(1px 1px 1px 1px);clip: rect(1px, 1px, 1px, 1px);height: 1px;margin: -1px;overflow: hidden;padding: 0;position: absolute;width: 1px;}#sk-container-id-2 div.sk-estimator {font-family: monospace;background-color: #f0f8ff;border: 1px dotted black;border-radius: 0.25em;box-sizing: border-box;margin-bottom: 0.5em;}#sk-container-id-2 div.sk-estimator:hover {background-color: #d4ebff;}#sk-container-id-2 div.sk-parallel-item::after {content: \"\";width: 100%;border-bottom: 1px solid gray;flex-grow: 1;}#sk-container-id-2 div.sk-label:hover label.sk-toggleable__label {background-color: #d4ebff;}#sk-container-id-2 div.sk-serial::before {content: \"\";position: absolute;border-left: 1px solid gray;box-sizing: border-box;top: 0;bottom: 0;left: 50%;z-index: 0;}#sk-container-id-2 div.sk-serial {display: flex;flex-direction: column;align-items: center;background-color: white;padding-right: 0.2em;padding-left: 0.2em;position: relative;}#sk-container-id-2 div.sk-item {position: relative;z-index: 1;}#sk-container-id-2 div.sk-parallel {display: flex;align-items: stretch;justify-content: center;background-color: white;position: relative;}#sk-container-id-2 div.sk-item::before, #sk-container-id-2 div.sk-parallel-item::before {content: \"\";position: absolute;border-left: 1px solid gray;box-sizing: border-box;top: 0;bottom: 0;left: 50%;z-index: -1;}#sk-container-id-2 div.sk-parallel-item {display: flex;flex-direction: column;z-index: 1;position: relative;background-color: white;}#sk-container-id-2 div.sk-parallel-item:first-child::after {align-self: flex-end;width: 50%;}#sk-container-id-2 div.sk-parallel-item:last-child::after {align-self: flex-start;width: 50%;}#sk-container-id-2 div.sk-parallel-item:only-child::after {width: 0;}#sk-container-id-2 div.sk-dashed-wrapped {border: 1px dashed gray;margin: 0 0.4em 0.5em 0.4em;box-sizing: border-box;padding-bottom: 0.4em;background-color: white;}#sk-container-id-2 div.sk-label label {font-family: monospace;font-weight: bold;display: inline-block;line-height: 1.2em;}#sk-container-id-2 div.sk-label-container {text-align: center;}#sk-container-id-2 div.sk-container {/* jupyter's `normalize.less` sets `[hidden] { display: none; }` but bootstrap.min.css set `[hidden] { display: none !important; }` so we also need the `!important` here to be able to override the default hidden behavior on the sphinx rendered scikit-learn.org. See: https://github.com/scikit-learn/scikit-learn/issues/21755 */display: inline-block !important;position: relative;}#sk-container-id-2 div.sk-text-repr-fallback {display: none;}</style><div id=\"sk-container-id-2\" class=\"sk-top-container\"><div class=\"sk-text-repr-fallback\"><pre>QuadraticDiscriminantAnalysis(priors=None, reg_param=0.0,\n",
              "                              store_covariance=False, tol=0.0001)</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 sk-toggleable\"><input class=\"sk-toggleable__control sk-hidden--visually\" id=\"sk-estimator-id-2\" type=\"checkbox\" checked><label for=\"sk-estimator-id-2\" class=\"sk-toggleable__label sk-toggleable__label-arrow\">QuadraticDiscriminantAnalysis</label><div class=\"sk-toggleable__content\"><pre>QuadraticDiscriminantAnalysis(priors=None, reg_param=0.0,\n",
              "                              store_covariance=False, tol=0.0001)</pre></div></div></div></div></div>"
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