Wine_classifier.ipynb

{
  "nbformat": 4,
  "nbformat_minor": 0,
  "metadata": {
    "colab": {
      "name": "Wine_classifier.ipynb",
      "provenance": [],
      "authorship_tag": "ABX9TyNp96fpR+HrDFjsLaeHqkUh",
      "include_colab_link": true
    },
    "kernelspec": {
      "name": "python3",
      "display_name": "Python 3"
    },
    "language_info": {
      "name": "python"
    }
  },
  "cells": [
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "view-in-github",
        "colab_type": "text"
      },
      "source": [
        "<a href=\"https://colab.research.google.com/github/ngcheeyuan/Classification_projects/blob/main/Wine_classifier.ipynb\" target=\"_parent\"><img src=\"https://colab.research.google.com/assets/colab-badge.svg\" alt=\"Open In Colab\"/></a>"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "HLN3cUQX0Re1"
      },
      "outputs": [],
      "source": [
        "! pip install -q kaggle"
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "from google.colab import files\n",
        "files.upload()"
      ],
      "metadata": {
        "colab": {
          "resources": {
            "http://localhost:8080/nbextensions/google.colab/files.js": {
              "data": 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",
              "ok": true,
              "headers": [
                [
                  "content-type",
                  "application/javascript"
                ]
              ],
              "status": 200,
              "status_text": "OK"
            }
          },
          "base_uri": "https://localhost:8080/",
          "height": 93
        },
        "id": "UAQPjUf70t7H",
        "outputId": "cc51b6ad-aa95-4411-fa7c-829449610106"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/html": [
              "\n",
              "     <input type=\"file\" id=\"files-33aa8e46-6916-4861-8069-9cfc9e0267d4\" name=\"files[]\" multiple disabled\n",
              "        style=\"border:none\" />\n",
              "     <output id=\"result-33aa8e46-6916-4861-8069-9cfc9e0267d4\">\n",
              "      Upload widget is only available when the cell has been executed in the\n",
              "      current browser session. Please rerun this cell to enable.\n",
              "      </output>\n",
              "      <script src=\"/nbextensions/google.colab/files.js\"></script> "
            ],
            "text/plain": [
              "<IPython.core.display.HTML object>"
            ]
          },
          "metadata": {}
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Saving kaggle.json to kaggle.json\n"
          ]
        },
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "{'kaggle.json': b'{\"username\":\"cheeyuanng\",\"key\":\"70085cb366ad542072c5a36ba0e09e27\"}'}"
            ]
          },
          "metadata": {},
          "execution_count": 2
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "!pip install -q kaggle\n",
        "!mkdir -p ~/.kaggle\n",
        "!cp kaggle.json ~/.kaggle/\n",
        "!ls ~/.kaggle\n",
        "!chmod 600 /root/.kaggle/kaggle.json"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "1JEw2WF33u4f",
        "outputId": "17ba874d-2a4c-4dec-9e07-a8d8181c3f3e"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "kaggle.json\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "!kaggle datasets download -d yasserh/wine-quality-dataset"
      ],
      "metadata": {
        "id": "sYCbq1Aw4GFX",
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "outputId": "61ac1c24-4794-4e2b-f809-fd7e08e1cb26"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Downloading wine-quality-dataset.zip to /content\n",
            "\r  0% 0.00/21.5k [00:00<?, ?B/s]\n",
            "\r100% 21.5k/21.5k [00:00<00:00, 8.37MB/s]\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "import pandas as pd\n",
        "import numpy as np\n",
        "import matplotlib.pyplot as plt\n",
        "import seaborn as sns"
      ],
      "metadata": {
        "id": "v6kWnyoJ5xPC"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "!unzip 'wine-quality-dataset.zip'"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "kMtodL6Qtx4L",
        "outputId": "d2a317f2-3025-4ef2-a299-566a160e1283"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Archive:  wine-quality-dataset.zip\n",
            "  inflating: WineQT.csv              \n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "df = pd.read_csv('WineQT.csv')\n",
        "df.drop(columns = ['Id'] , axis = 'columns' , inplace = True)"
      ],
      "metadata": {
        "id": "PFbMFwS46UpN"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "from sklearn.model_selection import train_test_split"
      ],
      "metadata": {
        "id": "AEcBhkNx6aLF"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "y = df.quality\n",
        "X = df.drop(['quality'] , axis = 'columns')"
      ],
      "metadata": {
        "id": "hPAN6Yi06eie"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "source": [
        "## Splitting data before exploration"
      ],
      "metadata": {
        "id": "La6q3_5L8AZp"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "X_train,X_val,y_train,y_val = train_test_split(X,y,train_size = 0.6, random_state = 42, stratify = y)"
      ],
      "metadata": {
        "id": "PVRii2Pn7Hid"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "X_val , X_test , y_val , y_test = train_test_split(X_val,y_val,\n",
        "                                                   train_size = 0.5 ,\n",
        "                                                   random_state = 42,\n",
        "                                                   stratify = y_val)"
      ],
      "metadata": {
        "id": "c9AgCp7H7fd6"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "y_val.value_counts()  ,y_test.value_counts() , y_train.value_counts()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "5nsrsG2k8TRI",
        "outputId": "05b7e624-f294-4fd9-cd80-0c14f03f6b19"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "(5    97\n",
              " 6    93\n",
              " 7    28\n",
              " 4     6\n",
              " 8     4\n",
              " 3     1\n",
              " Name: quality, dtype: int64, 5    97\n",
              " 6    92\n",
              " 7    29\n",
              " 4     7\n",
              " 8     3\n",
              " 3     1\n",
              " Name: quality, dtype: int64, 5    289\n",
              " 6    277\n",
              " 7     86\n",
              " 4     20\n",
              " 8      9\n",
              " 3      4\n",
              " Name: quality, dtype: int64)"
            ]
          },
          "metadata": {},
          "execution_count": 16
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "## Base model"
      ],
      "metadata": {
        "id": "TzP7F39L7uWw"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "from sklearn.linear_model import LogisticRegression"
      ],
      "metadata": {
        "id": "bm9Okt058Gh_"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "clf1 = LogisticRegression(class_weight = 'balanced' , \n",
        "                         max_iter = 10000 , \n",
        "                         tol = 0.0001,\n",
        "                         solver ='liblinear')"
      ],
      "metadata": {
        "id": "DwYcHbp58Jz2"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "clf1.fit(X_train,y_train)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "jsfb5bpu8zzm",
        "outputId": "acc1a7f0-5659-4df6-a256-a8d5ff3c4f58"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "LogisticRegression(class_weight='balanced', max_iter=10000, solver='liblinear')"
            ]
          },
          "metadata": {},
          "execution_count": 19
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "clf1.score(X_train,y_train)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "NayzWeP_83eh",
        "outputId": "15c50c07-4900-473b-8bf4-9b4ee3b44024"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "0.5080291970802919"
            ]
          },
          "metadata": {},
          "execution_count": 20
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "clf1.score(X_val,y_val)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "D5a7u5Na9f1A",
        "outputId": "60f59858-07c5-41ef-af01-ec81bc748d70"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "0.5327510917030568"
            ]
          },
          "metadata": {},
          "execution_count": 21
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "from sklearn.metrics import confusion_matrix\n",
        "from sklearn.metrics import ConfusionMatrixDisplay"
      ],
      "metadata": {
        "id": "Q72rbF1U9ilu"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "predictions = clf1.predict(X_val)"
      ],
      "metadata": {
        "id": "1x1u9Ea19u2b"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "cm = confusion_matrix(y_true = y_val,\n",
        "                      y_pred = predictions)"
      ],
      "metadata": {
        "id": "f8_R4ew791kI"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "ConfusionMatrixDisplay(cm).plot()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 298
        },
        "id": "SAhuwaTJ96Db",
        "outputId": "2b8aa7d7-8cd3-444f-f08a-cf00c534ddcb"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "<sklearn.metrics._plot.confusion_matrix.ConfusionMatrixDisplay at 0x7f3eb0406690>"
            ]
          },
          "metadata": {},
          "execution_count": 25
        },
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 432x288 with 2 Axes>"
            ]
          },
          "metadata": {
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "cm_2 = confusion_matrix(y_true = y_val,\n",
        "                        y_pred = predictions,normalize = 'true')\n",
        "ConfusionMatrixDisplay(cm_2).plot()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 302
        },
        "id": "rjzrSYNr-OL_",
        "outputId": "adab48f0-f65c-4b4e-adbc-06c43011f09b"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "<sklearn.metrics._plot.confusion_matrix.ConfusionMatrixDisplay at 0x7f3eb02737d0>"
            ]
          },
          "metadata": {},
          "execution_count": 26
        },
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 432x288 with 2 Axes>"
            ]
          },
          "metadata": {
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "from sklearn.ensemble import VotingClassifier\n",
        "from sklearn.model_selection import GridSearchCV\n",
        "from sklearn.ensemble import RandomForestClassifier\n",
        "\n",
        "from sklearn.pipeline import Pipeline\n",
        "from sklearn.preprocessing import RobustScaler\n",
        "from sklearn.compose import make_column_selector , make_column_transformer"
      ],
      "metadata": {
        "id": "zh9D1Qsi_Mma"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "ct = make_column_transformer((RobustScaler(),\n",
        "                              make_column_selector(dtype_include = np.number)))"
      ],
      "metadata": {
        "id": "GpEL0gGcA8hG"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "pipe = Pipeline([('column_transformer',ct),\n",
        "                 ('clf',VotingClassifier(estimators = [('lr', clf1),\n",
        "                                                       ('rf', RandomForestClassifier())]\n",
        "                                         )\n",
        "                 )\n",
        "                 ])"
      ],
      "metadata": {
        "id": "UzsEzSwECd45"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "param_grid = {}\n",
        "param_grid['clf__rf__n_estimators'] = [10,20,50]\n",
        "gs = GridSearchCV(estimator = pipe , \n",
        "                  param_grid = param_grid,\n",
        "                  cv = 2)"
      ],
      "metadata": {
        "id": "KOBlx98iDYc8"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "gs.fit(X = X_train,\n",
        "       y = y_train)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "iUC0ug3tDhv8",
        "outputId": "576657be-52f8-47eb-a94e-fec4697c6742"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "GridSearchCV(cv=2,\n",
              "             estimator=Pipeline(steps=[('column_transformer',\n",
              "                                        ColumnTransformer(transformers=[('robustscaler',\n",
              "                                                                         RobustScaler(),\n",
              "                                                                         <sklearn.compose._column_transformer.make_column_selector object at 0x7f3eaf17fbd0>)])),\n",
              "                                       ('clf',\n",
              "                                        VotingClassifier(estimators=[('lr',\n",
              "                                                                      LogisticRegression(class_weight='balanced',\n",
              "                                                                                         max_iter=10000,\n",
              "                                                                                         solver='liblinear')),\n",
              "                                                                     ('rf',\n",
              "                                                                      RandomForestClassifier())]))]),\n",
              "             param_grid={'clf__rf__n_estimators': [10, 20, 50]})"
            ]
          },
          "metadata": {},
          "execution_count": 31
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "gs.score(X_val,y_val) , gs.score(X_train,y_train)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "X1ywYEBJEMlM",
        "outputId": "b220f32f-cb5a-4576-eb29-51da3f32ef89"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "(0.6069868995633187, 0.7605839416058394)"
            ]
          },
          "metadata": {},
          "execution_count": 35
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "gs.best_params_"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "dqXEmTNvE-LZ",
        "outputId": "95298abe-a67b-430f-ec05-d4b891f75e9a"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "{'clf__rf__n_estimators': 50}"
            ]
          },
          "metadata": {},
          "execution_count": 36
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "## EDA :"
      ],
      "metadata": {
        "id": "1hA5UoHHFJ47"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "df_train = pd.concat([X_train,y_train], axis = 1)\n",
        "df_val = pd.concat([X_val,y_val], axis = 1)\n",
        "df_eda = df_val.merge(df_train , how = 'outer')"
      ],
      "metadata": {
        "id": "7WpgPz6WJCU8"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "df_eda.reset_index(drop=True, inplace = True)"
      ],
      "metadata": {
        "id": "tCZyYt-FJLxD"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "df_eda.columns = list(map(lambda x : x.replace(' ' , '_') , df.columns.to_list()))"
      ],
      "metadata": {
        "id": "q-qWgELBLkQ4"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "plt.figure(figsize = (16,9))\n",
        "sns.heatmap(df_eda.corr() , annot = True)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 648
        },
        "id": "IQwEastLJdXe",
        "outputId": "fab35643-b753-4b83-f126-501af928c8c3"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "<matplotlib.axes._subplots.AxesSubplot at 0x7f3eaf108a10>"
            ]
          },
          "metadata": {},
          "execution_count": 40
        },
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 1152x648 with 2 Axes>"
            ]
          },
          "metadata": {
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "There are some independent variables that has relatively high correlations \n",
        "e.g. \n",
        "1. free sulfur dioxide vs total sulfur dioxide,\n",
        "2. pH levels and the different acids"
      ],
      "metadata": {
        "id": "TOT-W6PIO7lV"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "plt.figure(figsize = (10,7))\n",
        "plt.subplot(2,2,1)\n",
        "sns.regplot(x = df_eda.alcohol , y = df_eda.quality)\n",
        "plt.subplot(2,2,3)\n",
        "sns.histplot(x = df_eda.alcohol , y = df_eda.quality)\n",
        "plt.subplot(2,2,2)\n",
        "sns.regplot(x = df_eda.volatile_acidity, y = df_eda.quality)\n",
        "plt.subplot(2,2,4)\n",
        "sns.histplot(x = df_eda.volatile_acidity, y = df_eda.quality)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 462
        },
        "id": "tgjApKPcKLY9",
        "outputId": "feb6e906-1c4f-481d-c9e6-846f32e50df5"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "<matplotlib.axes._subplots.AxesSubplot at 0x7f3eab5dbb10>"
            ]
          },
          "metadata": {},
          "execution_count": 41
        },
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 720x504 with 4 Axes>"
            ]
          },
          "metadata": {
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "plt.figure(figsize = (20,10))\n",
        "for index,columns in enumerate(df_eda.drop(columns = ['quality'] , axis = 'columns').columns,1):\n",
        "  plt.subplot(3,4,index)\n",
        "  sns.boxplot(x = df_eda.quality , y = df_eda[f'{columns}'])\n",
        "  sns.stripplot(x = df_eda.quality , y = df_eda[f'{columns}'])"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 562
        },
        "id": "TZEDGRysNi5z",
        "outputId": "9dc32d9f-181e-43db-8686-58410f913a62"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 1440x720 with 11 Axes>"
            ]
          },
          "metadata": {
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "from sklearn.preprocessing import PolynomialFeatures"
      ],
      "metadata": {
        "id": "wQ4GU_I5RxGe"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "features = df_eda.drop(columns = ['quality'], axis = 'columns').columns.to_list()"
      ],
      "metadata": {
        "id": "i9nRdVoLSofi"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "poly = PolynomialFeatures(2)\n",
        "poly_array = poly.fit_transform(df_eda[features])"
      ],
      "metadata": {
        "id": "xLScffyYSsXC"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "df_poly = pd.DataFrame(data = poly_array , columns = poly.get_feature_names_out()).drop(columns = ['1'], axis = 'columns')"
      ],
      "metadata": {
        "id": "3Pt4lr0eS1PD"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "df_poly['quality'] = df_eda['quality']"
      ],
      "metadata": {
        "id": "fgZ7CC0sUIiS"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "sns.heatmap(df_poly.corr())"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 452
        },
        "id": "QM7jMn7BUXar",
        "outputId": "38f841a9-8900-47d7-8b8c-05753760e678"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "<matplotlib.axes._subplots.AxesSubplot at 0x7f3eaac734d0>"
            ]
          },
          "metadata": {},
          "execution_count": 48
        },
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 432x288 with 2 Axes>"
            ]
          },
          "metadata": {
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "df_poly.corr()['quality'].sort_values().plot(kind = 'barh',figsize = (16,14))"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 828
        },
        "id": "E6ny4TEbUYMW",
        "outputId": "95c556ee-ebff-4793-fd10-22b31bc78988"
      },
      "execution_count": 59,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "<matplotlib.axes._subplots.AxesSubplot at 0x7f3eaa5796d0>"
            ]
          },
          "metadata": {},
          "execution_count": 59
        },
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 1152x1008 with 1 Axes>"
            ]
          },
          "metadata": {
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "ct = make_column_transformer((RobustScaler(),\n",
        "                              make_column_selector(dtype_include = np.number)))"
      ],
      "metadata": {
        "id": "VA6bfeCN0-vG"
      },
      "execution_count": 62,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "pipe = Pipeline([('column_transformer',ct),\n",
        "                 ('polynomial_features', PolynomialFeatures()),\n",
        "                 ('clf',VotingClassifier(estimators = [('lr', LogisticRegression(penalty = 'l2',solver = 'liblinear', warm_start = True, C = 0.1)),\n",
        "                                                       ('rf', RandomForestClassifier(max_depth = 5))]\n",
        "                                         )\n",
        "                 )\n",
        "                 ])"
      ],
      "metadata": {
        "id": "8RGSaGZm0-vK"
      },
      "execution_count": 63,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "param_grid = {}\n",
        "param_grid['clf__rf__n_estimators'] = [10,20,50,100]\n",
        "param_grid['clf__lr__C'] = [0.1,0.01,0.001]\n",
        "param_grid['clf__rf__max_depth'] = [3,4,5]\n",
        "\n",
        "gs = GridSearchCV(estimator = pipe , \n",
        "                  param_grid = param_grid,\n",
        "                  cv = 2)"
      ],
      "metadata": {
        "id": "qkz0B6CU0-vN"
      },
      "execution_count": 64,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "gs.fit(X = X_train,\n",
        "       y = y_train)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "outputId": "6a97a6b3-a99f-439e-e711-e5c540a950b7",
        "id": "iPaffpwK0-vP"
      },
      "execution_count": 65,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "GridSearchCV(cv=2,\n",
              "             estimator=Pipeline(steps=[('column_transformer',\n",
              "                                        ColumnTransformer(transformers=[('robustscaler',\n",
              "                                                                         RobustScaler(),\n",
              "                                                                         <sklearn.compose._column_transformer.make_column_selector object at 0x7f3eaa33a450>)])),\n",
              "                                       ('polynomial_features',\n",
              "                                        PolynomialFeatures()),\n",
              "                                       ('clf',\n",
              "                                        VotingClassifier(estimators=[('lr',\n",
              "                                                                      LogisticRegression(class_weight='balanced',\n",
              "                                                                                         max_iter=10000,\n",
              "                                                                                         solver='liblinear')),\n",
              "                                                                     ('rf',\n",
              "                                                                      RandomForestClassifier())]))]),\n",
              "             param_grid={'clf__lr__C': [0.1, 0.01, 0.001],\n",
              "                         'clf__rf__max_depth': [3, 4, 5],\n",
              "                         'clf__rf__n_estimators': [10, 20, 50, 100]})"
            ]
          },
          "metadata": {},
          "execution_count": 65
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "gs.score(X_train,y_train) , gs.score(X_val,y_val)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "MXMtqVjC1_hJ",
        "outputId": "00a3c1a1-4940-4c0f-8cd0-28fa7f4a1e12"
      },
      "execution_count": 67,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "(0.6306569343065693, 0.6026200873362445)"
            ]
          },
          "metadata": {},
          "execution_count": 67
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "gs.best_params_"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "GJxGr2Tx2Ild",
        "outputId": "6ef3e250-705f-4d8c-fa4d-742c8f873f53"
      },
      "execution_count": 68,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "{'clf__lr__C': 0.001, 'clf__rf__max_depth': 5, 'clf__rf__n_estimators': 20}"
            ]
          },
          "metadata": {},
          "execution_count": 68
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "pd.DataFrame(gs.cv_results_).sort_values(by = 'rank_test_score')"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 1000
        },
        "id": "59kuSn3o2Uem",
        "outputId": "11c4f475-79d8-478b-b4c3-1a454121a62b"
      },
      "execution_count": 71,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/html": [
              "\n",
              "  <div id=\"df-08ba0b5d-c2dc-4a47-98dc-85598f867ceb\">\n",
              "    <div 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>mean_fit_time</th>\n",
              "      <th>std_fit_time</th>\n",
              "      <th>mean_score_time</th>\n",
              "      <th>std_score_time</th>\n",
              "      <th>param_clf__lr__C</th>\n",
              "      <th>param_clf__rf__max_depth</th>\n",
              "      <th>param_clf__rf__n_estimators</th>\n",
              "      <th>params</th>\n",
              "      <th>split0_test_score</th>\n",
              "      <th>split1_test_score</th>\n",
              "      <th>mean_test_score</th>\n",
              "      <th>std_test_score</th>\n",
              "      <th>rank_test_score</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>33</th>\n",
              "      <td>0.069366</td>\n",
              "      <td>0.000846</td>\n",
              "      <td>0.009889</td>\n",
              "      <td>0.000027</td>\n",
              "      <td>0.001</td>\n",
              "      <td>5</td>\n",
              "      <td>20</td>\n",
              "      <td>{'clf__lr__C': 0.001, 'clf__rf__max_depth': 5,...</td>\n",
              "      <td>0.516035</td>\n",
              "      <td>0.540936</td>\n",
              "      <td>0.528485</td>\n",
              "      <td>0.012450</td>\n",
              "      <td>1</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>11</th>\n",
              "      <td>0.257621</td>\n",
              "      <td>0.000150</td>\n",
              "      <td>0.021230</td>\n",
              "      <td>0.000111</td>\n",
              "      <td>0.1</td>\n",
              "      <td>5</td>\n",
              "      <td>100</td>\n",
              "      <td>{'clf__lr__C': 0.1, 'clf__rf__max_depth': 5, '...</td>\n",
              "      <td>0.518950</td>\n",
              "      <td>0.535088</td>\n",
              "      <td>0.527019</td>\n",
              "      <td>0.008069</td>\n",
              "      <td>2</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>6</th>\n",
              "      <td>0.147990</td>\n",
              "      <td>0.000078</td>\n",
              "      <td>0.013903</td>\n",
              "      <td>0.000013</td>\n",
              "      <td>0.1</td>\n",
              "      <td>4</td>\n",
              "      <td>50</td>\n",
              "      <td>{'clf__lr__C': 0.1, 'clf__rf__max_depth': 4, '...</td>\n",
              "      <td>0.545190</td>\n",
              "      <td>0.508772</td>\n",
              "      <td>0.526981</td>\n",
              "      <td>0.018209</td>\n",
              "      <td>3</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>31</th>\n",
              "      <td>0.232927</td>\n",
              "      <td>0.010300</td>\n",
              "      <td>0.021803</td>\n",
              "      <td>0.000409</td>\n",
              "      <td>0.001</td>\n",
              "      <td>4</td>\n",
              "      <td>100</td>\n",
              "      <td>{'clf__lr__C': 0.001, 'clf__rf__max_depth': 4,...</td>\n",
              "      <td>0.507289</td>\n",
              "      <td>0.540936</td>\n",
              "      <td>0.524112</td>\n",
              "      <td>0.016824</td>\n",
              "      <td>4</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>30</th>\n",
              "      <td>0.128783</td>\n",
              "      <td>0.001615</td>\n",
              "      <td>0.015048</td>\n",
              "      <td>0.000326</td>\n",
              "      <td>0.001</td>\n",
              "      <td>4</td>\n",
              "      <td>50</td>\n",
              "      <td>{'clf__lr__C': 0.001, 'clf__rf__max_depth': 4,...</td>\n",
              "      <td>0.513120</td>\n",
              "      <td>0.532164</td>\n",
              "      <td>0.522642</td>\n",
              "      <td>0.009522</td>\n",
              "      <td>5</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>0.226204</td>\n",
              "      <td>0.008912</td>\n",
              "      <td>0.030803</td>\n",
              "      <td>0.005720</td>\n",
              "      <td>0.1</td>\n",
              "      <td>3</td>\n",
              "      <td>50</td>\n",
              "      <td>{'clf__lr__C': 0.1, 'clf__rf__max_depth': 3, '...</td>\n",
              "      <td>0.518950</td>\n",
              "      <td>0.526316</td>\n",
              "      <td>0.522633</td>\n",
              "      <td>0.003683</td>\n",
              "      <td>6</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>18</th>\n",
              "      <td>0.141452</td>\n",
              "      <td>0.009141</td>\n",
              "      <td>0.014045</td>\n",
              "      <td>0.000156</td>\n",
              "      <td>0.01</td>\n",
              "      <td>4</td>\n",
              "      <td>50</td>\n",
              "      <td>{'clf__lr__C': 0.01, 'clf__rf__max_depth': 4, ...</td>\n",
              "      <td>0.527697</td>\n",
              "      <td>0.517544</td>\n",
              "      <td>0.522620</td>\n",
              "      <td>0.005076</td>\n",
              "      <td>7</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>21</th>\n",
              "      <td>0.087941</td>\n",
              "      <td>0.010862</td>\n",
              "      <td>0.010122</td>\n",
              "      <td>0.000228</td>\n",
              "      <td>0.01</td>\n",
              "      <td>5</td>\n",
              "      <td>20</td>\n",
              "      <td>{'clf__lr__C': 0.01, 'clf__rf__max_depth': 5, ...</td>\n",
              "      <td>0.542274</td>\n",
              "      <td>0.502924</td>\n",
              "      <td>0.522599</td>\n",
              "      <td>0.019675</td>\n",
              "      <td>8</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>29</th>\n",
              "      <td>0.068666</td>\n",
              "      <td>0.000239</td>\n",
              "      <td>0.010322</td>\n",
              "      <td>0.000289</td>\n",
              "      <td>0.001</td>\n",
              "      <td>4</td>\n",
              "      <td>20</td>\n",
              "      <td>{'clf__lr__C': 0.001, 'clf__rf__max_depth': 4,...</td>\n",
              "      <td>0.507289</td>\n",
              "      <td>0.535088</td>\n",
              "      <td>0.521188</td>\n",
              "      <td>0.013900</td>\n",
              "      <td>9</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>34</th>\n",
              "      <td>0.134302</td>\n",
              "      <td>0.001065</td>\n",
              "      <td>0.014329</td>\n",
              "      <td>0.000094</td>\n",
              "      <td>0.001</td>\n",
              "      <td>5</td>\n",
              "      <td>50</td>\n",
              "      <td>{'clf__lr__C': 0.001, 'clf__rf__max_depth': 5,...</td>\n",
              "      <td>0.498542</td>\n",
              "      <td>0.540936</td>\n",
              "      <td>0.519739</td>\n",
              "      <td>0.021197</td>\n",
              "      <td>10</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>23</th>\n",
              "      <td>0.247616</td>\n",
              "      <td>0.003810</td>\n",
              "      <td>0.021574</td>\n",
              "      <td>0.000058</td>\n",
              "      <td>0.01</td>\n",
              "      <td>5</td>\n",
              "      <td>100</td>\n",
              "      <td>{'clf__lr__C': 0.01, 'clf__rf__max_depth': 5, ...</td>\n",
              "      <td>0.521866</td>\n",
              "      <td>0.514620</td>\n",
              "      <td>0.518243</td>\n",
              "      <td>0.003623</td>\n",
              "      <td>11</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>27</th>\n",
              "      <td>0.209188</td>\n",
              "      <td>0.001096</td>\n",
              "      <td>0.025143</td>\n",
              "      <td>0.003753</td>\n",
              "      <td>0.001</td>\n",
              "      <td>3</td>\n",
              "      <td>100</td>\n",
              "      <td>{'clf__lr__C': 0.001, 'clf__rf__max_depth': 3,...</td>\n",
              "      <td>0.498542</td>\n",
              "      <td>0.535088</td>\n",
              "      <td>0.516815</td>\n",
              "      <td>0.018273</td>\n",
              "      <td>12</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>0.439666</td>\n",
              "      <td>0.074672</td>\n",
              "      <td>0.058642</td>\n",
              "      <td>0.012201</td>\n",
              "      <td>0.1</td>\n",
              "      <td>3</td>\n",
              "      <td>100</td>\n",
              "      <td>{'clf__lr__C': 0.1, 'clf__rf__max_depth': 3, '...</td>\n",
              "      <td>0.513120</td>\n",
              "      <td>0.520468</td>\n",
              "      <td>0.516794</td>\n",
              "      <td>0.003674</td>\n",
              "      <td>13</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>19</th>\n",
              "      <td>0.235822</td>\n",
              "      <td>0.003660</td>\n",
              "      <td>0.020868</td>\n",
              "      <td>0.000111</td>\n",
              "      <td>0.01</td>\n",
              "      <td>4</td>\n",
              "      <td>100</td>\n",
              "      <td>{'clf__lr__C': 0.01, 'clf__rf__max_depth': 4, ...</td>\n",
              "      <td>0.521866</td>\n",
              "      <td>0.511696</td>\n",
              "      <td>0.516781</td>\n",
              "      <td>0.005085</td>\n",
              "      <td>14</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>32</th>\n",
              "      <td>0.048599</td>\n",
              "      <td>0.000069</td>\n",
              "      <td>0.008325</td>\n",
              "      <td>0.000170</td>\n",
              "      <td>0.001</td>\n",
              "      <td>5</td>\n",
              "      <td>10</td>\n",
              "      <td>{'clf__lr__C': 0.001, 'clf__rf__max_depth': 5,...</td>\n",
              "      <td>0.486880</td>\n",
              "      <td>0.543860</td>\n",
              "      <td>0.515370</td>\n",
              "      <td>0.028490</td>\n",
              "      <td>15</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>28</th>\n",
              "      <td>0.052199</td>\n",
              "      <td>0.003115</td>\n",
              "      <td>0.008621</td>\n",
              "      <td>0.000015</td>\n",
              "      <td>0.001</td>\n",
              "      <td>4</td>\n",
              "      <td>10</td>\n",
              "      <td>{'clf__lr__C': 0.001, 'clf__rf__max_depth': 4,...</td>\n",
              "      <td>0.495627</td>\n",
              "      <td>0.535088</td>\n",
              "      <td>0.515357</td>\n",
              "      <td>0.019730</td>\n",
              "      <td>16</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>0.103410</td>\n",
              "      <td>0.002401</td>\n",
              "      <td>0.014125</td>\n",
              "      <td>0.000142</td>\n",
              "      <td>0.1</td>\n",
              "      <td>4</td>\n",
              "      <td>10</td>\n",
              "      <td>{'clf__lr__C': 0.1, 'clf__rf__max_depth': 4, '...</td>\n",
              "      <td>0.513120</td>\n",
              "      <td>0.517544</td>\n",
              "      <td>0.515332</td>\n",
              "      <td>0.002212</td>\n",
              "      <td>17</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>17</th>\n",
              "      <td>0.075121</td>\n",
              "      <td>0.000225</td>\n",
              "      <td>0.010001</td>\n",
              "      <td>0.000063</td>\n",
              "      <td>0.01</td>\n",
              "      <td>4</td>\n",
              "      <td>20</td>\n",
              "      <td>{'clf__lr__C': 0.01, 'clf__rf__max_depth': 4, ...</td>\n",
              "      <td>0.524781</td>\n",
              "      <td>0.502924</td>\n",
              "      <td>0.513853</td>\n",
              "      <td>0.010929</td>\n",
              "      <td>18</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>15</th>\n",
              "      <td>0.222511</td>\n",
              "      <td>0.001831</td>\n",
              "      <td>0.020275</td>\n",
              "      <td>0.000211</td>\n",
              "      <td>0.01</td>\n",
              "      <td>3</td>\n",
              "      <td>100</td>\n",
              "      <td>{'clf__lr__C': 0.01, 'clf__rf__max_depth': 3, ...</td>\n",
              "      <td>0.510204</td>\n",
              "      <td>0.514620</td>\n",
              "      <td>0.512412</td>\n",
              "      <td>0.002208</td>\n",
              "      <td>19</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>9</th>\n",
              "      <td>0.090333</td>\n",
              "      <td>0.000834</td>\n",
              "      <td>0.009861</td>\n",
              "      <td>0.000096</td>\n",
              "      <td>0.1</td>\n",
              "      <td>5</td>\n",
              "      <td>20</td>\n",
              "      <td>{'clf__lr__C': 0.1, 'clf__rf__max_depth': 5, '...</td>\n",
              "      <td>0.510204</td>\n",
              "      <td>0.511696</td>\n",
              "      <td>0.510950</td>\n",
              "      <td>0.000746</td>\n",
              "      <td>20</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>22</th>\n",
              "      <td>0.141376</td>\n",
              "      <td>0.002824</td>\n",
              "      <td>0.014143</td>\n",
              "      <td>0.000189</td>\n",
              "      <td>0.01</td>\n",
              "      <td>5</td>\n",
              "      <td>50</td>\n",
              "      <td>{'clf__lr__C': 0.01, 'clf__rf__max_depth': 5, ...</td>\n",
              "      <td>0.516035</td>\n",
              "      <td>0.505848</td>\n",
              "      <td>0.510941</td>\n",
              "      <td>0.005094</td>\n",
              "      <td>21</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>10</th>\n",
              "      <td>0.157584</td>\n",
              "      <td>0.006138</td>\n",
              "      <td>0.015525</td>\n",
              "      <td>0.001396</td>\n",
              "      <td>0.1</td>\n",
              "      <td>5</td>\n",
              "      <td>50</td>\n",
              "      <td>{'clf__lr__C': 0.1, 'clf__rf__max_depth': 5, '...</td>\n",
              "      <td>0.521866</td>\n",
              "      <td>0.500000</td>\n",
              "      <td>0.510933</td>\n",
              "      <td>0.010933</td>\n",
              "      <td>22</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>0.106729</td>\n",
              "      <td>0.004850</td>\n",
              "      <td>0.014311</td>\n",
              "      <td>0.000632</td>\n",
              "      <td>0.1</td>\n",
              "      <td>3</td>\n",
              "      <td>10</td>\n",
              "      <td>{'clf__lr__C': 0.1, 'clf__rf__max_depth': 3, '...</td>\n",
              "      <td>0.489796</td>\n",
              "      <td>0.529240</td>\n",
              "      <td>0.509518</td>\n",
              "      <td>0.019722</td>\n",
              "      <td>23</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>35</th>\n",
              "      <td>0.246377</td>\n",
              "      <td>0.000571</td>\n",
              "      <td>0.021445</td>\n",
              "      <td>0.000272</td>\n",
              "      <td>0.001</td>\n",
              "      <td>5</td>\n",
              "      <td>100</td>\n",
              "      <td>{'clf__lr__C': 0.001, 'clf__rf__max_depth': 5,...</td>\n",
              "      <td>0.495627</td>\n",
              "      <td>0.523392</td>\n",
              "      <td>0.509509</td>\n",
              "      <td>0.013882</td>\n",
              "      <td>24</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>7</th>\n",
              "      <td>0.252314</td>\n",
              "      <td>0.001303</td>\n",
              "      <td>0.021623</td>\n",
              "      <td>0.000411</td>\n",
              "      <td>0.1</td>\n",
              "      <td>4</td>\n",
              "      <td>100</td>\n",
              "      <td>{'clf__lr__C': 0.1, 'clf__rf__max_depth': 4, '...</td>\n",
              "      <td>0.504373</td>\n",
              "      <td>0.514620</td>\n",
              "      <td>0.509497</td>\n",
              "      <td>0.005123</td>\n",
              "      <td>25</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>8</th>\n",
              "      <td>0.071110</td>\n",
              "      <td>0.003020</td>\n",
              "      <td>0.008515</td>\n",
              "      <td>0.000016</td>\n",
              "      <td>0.1</td>\n",
              "      <td>5</td>\n",
              "      <td>10</td>\n",
              "      <td>{'clf__lr__C': 0.1, 'clf__rf__max_depth': 5, '...</td>\n",
              "      <td>0.516035</td>\n",
              "      <td>0.502924</td>\n",
              "      <td>0.509479</td>\n",
              "      <td>0.006556</td>\n",
              "      <td>26</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>12</th>\n",
              "      <td>0.052324</td>\n",
              "      <td>0.000326</td>\n",
              "      <td>0.008244</td>\n",
              "      <td>0.000012</td>\n",
              "      <td>0.01</td>\n",
              "      <td>3</td>\n",
              "      <td>10</td>\n",
              "      <td>{'clf__lr__C': 0.01, 'clf__rf__max_depth': 3, ...</td>\n",
              "      <td>0.521866</td>\n",
              "      <td>0.491228</td>\n",
              "      <td>0.506547</td>\n",
              "      <td>0.015319</td>\n",
              "      <td>27</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>26</th>\n",
              "      <td>0.125242</td>\n",
              "      <td>0.004518</td>\n",
              "      <td>0.014106</td>\n",
              "      <td>0.000348</td>\n",
              "      <td>0.001</td>\n",
              "      <td>3</td>\n",
              "      <td>50</td>\n",
              "      <td>{'clf__lr__C': 0.001, 'clf__rf__max_depth': 3,...</td>\n",
              "      <td>0.492711</td>\n",
              "      <td>0.517544</td>\n",
              "      <td>0.505128</td>\n",
              "      <td>0.012416</td>\n",
              "      <td>28</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>24</th>\n",
              "      <td>0.049999</td>\n",
              "      <td>0.003282</td>\n",
              "      <td>0.008273</td>\n",
              "      <td>0.000120</td>\n",
              "      <td>0.001</td>\n",
              "      <td>3</td>\n",
              "      <td>10</td>\n",
              "      <td>{'clf__lr__C': 0.001, 'clf__rf__max_depth': 3,...</td>\n",
              "      <td>0.492711</td>\n",
              "      <td>0.514620</td>\n",
              "      <td>0.503666</td>\n",
              "      <td>0.010954</td>\n",
              "      <td>29</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>25</th>\n",
              "      <td>0.072276</td>\n",
              "      <td>0.009219</td>\n",
              "      <td>0.010922</td>\n",
              "      <td>0.000053</td>\n",
              "      <td>0.001</td>\n",
              "      <td>3</td>\n",
              "      <td>20</td>\n",
              "      <td>{'clf__lr__C': 0.001, 'clf__rf__max_depth': 3,...</td>\n",
              "      <td>0.483965</td>\n",
              "      <td>0.520468</td>\n",
              "      <td>0.502216</td>\n",
              "      <td>0.018251</td>\n",
              "      <td>30</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>13</th>\n",
              "      <td>0.070713</td>\n",
              "      <td>0.001052</td>\n",
              "      <td>0.009762</td>\n",
              "      <td>0.000320</td>\n",
              "      <td>0.01</td>\n",
              "      <td>3</td>\n",
              "      <td>20</td>\n",
              "      <td>{'clf__lr__C': 0.01, 'clf__rf__max_depth': 3, ...</td>\n",
              "      <td>0.507289</td>\n",
              "      <td>0.497076</td>\n",
              "      <td>0.502182</td>\n",
              "      <td>0.005106</td>\n",
              "      <td>31</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>5</th>\n",
              "      <td>0.106102</td>\n",
              "      <td>0.019235</td>\n",
              "      <td>0.012813</td>\n",
              "      <td>0.002876</td>\n",
              "      <td>0.1</td>\n",
              "      <td>4</td>\n",
              "      <td>20</td>\n",
              "      <td>{'clf__lr__C': 0.1, 'clf__rf__max_depth': 4, '...</td>\n",
              "      <td>0.501458</td>\n",
              "      <td>0.500000</td>\n",
              "      <td>0.500729</td>\n",
              "      <td>0.000729</td>\n",
              "      <td>32</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>20</th>\n",
              "      <td>0.056493</td>\n",
              "      <td>0.000290</td>\n",
              "      <td>0.008697</td>\n",
              "      <td>0.000131</td>\n",
              "      <td>0.01</td>\n",
              "      <td>5</td>\n",
              "      <td>10</td>\n",
              "      <td>{'clf__lr__C': 0.01, 'clf__rf__max_depth': 5, ...</td>\n",
              "      <td>0.521866</td>\n",
              "      <td>0.476608</td>\n",
              "      <td>0.499237</td>\n",
              "      <td>0.022629</td>\n",
              "      <td>33</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>14</th>\n",
              "      <td>0.134027</td>\n",
              "      <td>0.000204</td>\n",
              "      <td>0.015695</td>\n",
              "      <td>0.000718</td>\n",
              "      <td>0.01</td>\n",
              "      <td>3</td>\n",
              "      <td>50</td>\n",
              "      <td>{'clf__lr__C': 0.01, 'clf__rf__max_depth': 3, ...</td>\n",
              "      <td>0.495627</td>\n",
              "      <td>0.497076</td>\n",
              "      <td>0.496351</td>\n",
              "      <td>0.000725</td>\n",
              "      <td>34</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>16</th>\n",
              "      <td>0.054910</td>\n",
              "      <td>0.000050</td>\n",
              "      <td>0.008580</td>\n",
              "      <td>0.000188</td>\n",
              "      <td>0.01</td>\n",
              "      <td>4</td>\n",
              "      <td>10</td>\n",
              "      <td>{'clf__lr__C': 0.01, 'clf__rf__max_depth': 4, ...</td>\n",
              "      <td>0.507289</td>\n",
              "      <td>0.479532</td>\n",
              "      <td>0.493410</td>\n",
              "      <td>0.013878</td>\n",
              "      <td>35</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>0.131006</td>\n",
              "      <td>0.002298</td>\n",
              "      <td>0.016078</td>\n",
              "      <td>0.000330</td>\n",
              "      <td>0.1</td>\n",
              "      <td>3</td>\n",
              "      <td>20</td>\n",
              "      <td>{'clf__lr__C': 0.1, 'clf__rf__max_depth': 3, '...</td>\n",
              "      <td>0.498542</td>\n",
              "      <td>0.485380</td>\n",
              "      <td>0.491961</td>\n",
              "      <td>0.006581</td>\n",
              "      <td>36</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
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            ],
            "text/plain": [
              "    mean_fit_time  std_fit_time  ...  std_test_score  rank_test_score\n",
              "33       0.069366      0.000846  ...        0.012450                1\n",
              "11       0.257621      0.000150  ...        0.008069                2\n",
              "6        0.147990      0.000078  ...        0.018209                3\n",
              "31       0.232927      0.010300  ...        0.016824                4\n",
              "30       0.128783      0.001615  ...        0.009522                5\n",
              "2        0.226204      0.008912  ...        0.003683                6\n",
              "18       0.141452      0.009141  ...        0.005076                7\n",
              "21       0.087941      0.010862  ...        0.019675                8\n",
              "29       0.068666      0.000239  ...        0.013900                9\n",
              "34       0.134302      0.001065  ...        0.021197               10\n",
              "23       0.247616      0.003810  ...        0.003623               11\n",
              "27       0.209188      0.001096  ...        0.018273               12\n",
              "3        0.439666      0.074672  ...        0.003674               13\n",
              "19       0.235822      0.003660  ...        0.005085               14\n",
              "32       0.048599      0.000069  ...        0.028490               15\n",
              "28       0.052199      0.003115  ...        0.019730               16\n",
              "4        0.103410      0.002401  ...        0.002212               17\n",
              "17       0.075121      0.000225  ...        0.010929               18\n",
              "15       0.222511      0.001831  ...        0.002208               19\n",
              "9        0.090333      0.000834  ...        0.000746               20\n",
              "22       0.141376      0.002824  ...        0.005094               21\n",
              "10       0.157584      0.006138  ...        0.010933               22\n",
              "0        0.106729      0.004850  ...        0.019722               23\n",
              "35       0.246377      0.000571  ...        0.013882               24\n",
              "7        0.252314      0.001303  ...        0.005123               25\n",
              "8        0.071110      0.003020  ...        0.006556               26\n",
              "12       0.052324      0.000326  ...        0.015319               27\n",
              "26       0.125242      0.004518  ...        0.012416               28\n",
              "24       0.049999      0.003282  ...        0.010954               29\n",
              "25       0.072276      0.009219  ...        0.018251               30\n",
              "13       0.070713      0.001052  ...        0.005106               31\n",
              "5        0.106102      0.019235  ...        0.000729               32\n",
              "20       0.056493      0.000290  ...        0.022629               33\n",
              "14       0.134027      0.000204  ...        0.000725               34\n",
              "16       0.054910      0.000050  ...        0.013878               35\n",
              "1        0.131006      0.002298  ...        0.006581               36\n",
              "\n",
              "[36 rows x 13 columns]"
            ]
          },
          "metadata": {},
          "execution_count": 71
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "def plot_cm(y_true,y_pred):\n",
        "  cm = confusion_matrix(y_true = y_true,\n",
        "                        y_pred = y_pred,normalize = 'true')\n",
        "  ConfusionMatrixDisplay(cm).plot()"
      ],
      "metadata": {
        "id": "n3flvY0S2atz"
      },
      "execution_count": 74,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "preds = gs.predict(X_val)"
      ],
      "metadata": {
        "id": "jOqCtFCN9oGJ"
      },
      "execution_count": 76,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "plot_cm(y_val,preds)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 283
        },
        "id": "qIlI5__x9vuS",
        "outputId": "c5fe9c89-b659-43f2-ea63-2d0cd0e64d82"
      },
      "execution_count": 77,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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FG/8eT96pLRz9YgOH/XEnq37r/wGIS1cmPLiDY15pYNzdO/ni1n69jsfhUK687nPuuOUYrvjRKRx34hYGDantVKasNJH7fj+Ree8O2m39l54bxR9n9C7Jh8LhUK6asY1ffH8Yl04fzfFn1TB4ZOM+23+0x9NGAZXgJqhQ1YkdplndbH1XLmAkMB04H/iHiKR1t8Ke41Z9vOO8iCSq6o4QgvEAN6rqpyKSAiwVkbc7ni93Z9T4OooKEyjZ6v8Dm/9GNlNOrGLLhqS2MkedWMlTDw4BYMGcbH7yyw34P3VhyokVlGxNoGmns9N2VyzpT05B6AfH6MPqKd4cT8kWfyL4338ymXJyNYXr2xPAlJOrefL+AgA+eDODK3+zGVA2rGqPefPafsQn+HDH+WhpdrD68+SQY9mT7V84SRzsI3GQv4Kdf3oLZe+5SD6oQ21NwNPg/5X11AkJ2T4AUg/2tRVJHuHD2yj4msER1/N4Ro2poqgoiZJi//9v/nsDmXJMEVs2p7aVKSv1fy57+uVf9mkOhx5W3vMAQjR6wg6KNsVRUugfR2/ea2lMOXU7hesSulnzwIinoz66T20b0PHXbGDgvY62AotUtQX4SkTW4k9yi/e20W6vqYnIFBFZBawOzB8mIg91t56qFqvqp4HXdcCX+KubQcvMbaKiuH2gxoqSODJzmzqXyWmmPFDG5xV21LlITfOQkOjlnEu38vTMIaHssut48lra9tUWT17n07vM3JZO8TTUOUlN93QqM/X0atavSKKluW8vaTaWCQl57ckpIVdpLOu8jxFXNlH8XzfzTkxm6ZWJjLlt9+Re+raL1LHeXiU0gMysnVSUJbbNV5T3IzNrZxdrRFZmXgvlRe3/6YpiN1n5LRbPnmiQU9cWAyNFZJiIxAHnAbN3KfMq/loaIpKF/3R0Y1cbDeav6n7gVKASQFWXAdOCWK+NiAwFJgCL9rDsMhFZIiJLmn19V7X+/tWbefVfBTTucHZfeB8aMnIHF/98C3+9fWhE9l/8hpuCs1qY/m49Rz60gy9u7Ye250Hq1ztYe18Ch9wRvcnHRFpwjQTdNRSoqge4GpiDv9LzvKquFJE7ReTMQLE5QGWgYvU+8DNVrexqu0Hd0qGqW0Q6BRj0FWQRSQZeAn6qqrW7Lg+cY88C6O/K6pTbK0vjycpvr5ll5TVTWdp5iO3Ksjiy85uoLI3H4VQSUzzU1rgYPb6OqadWcPHPviIpxYP6hOYmB/99qvOF/VBUlrjJ3jWeks7VmcpSf5mKkjgcTiUpxUtttaut/C//vo4/3jic4sK+P4VIyFEaS9p/pxpLhYQcX6cyW192c+Tf/FcR0g734msWmquF+EylsUT47Lp+HDpjJ4mDe39+UVnRj6yc9isWWdk7qazo/bW6cKkscZM9oL3mnZXfQkWx2+LZkz66+1ZV3wDe2OW9Ozq8VuCGwBSUYGpqW0TkaEBFxC0iN+HPqt0SETf+hPaUqr4cbFCt1n6RwoAhjeQWNOJy+5j29XIWvtf5ov+i9zI56VulAEw9tZzlC9MA4eYLDuOiEydx0YmTeO2JAp6bNahXCQ1gzfJkBgxtIndgEy63j+O+WcnCdzpfs1z4TjonnV0BwLGnVwVaOIWkFA93PraGf/5+EKuWpvQqjr1JHedlR6GDHVsFXwsUv+km5/jOp7798pWqRf4kW7/Bga8J4jKUllpYemUio37aRPoRfTPS/9rV6QwoqCc3rwGXy8e0E7ay8KPefQfhtObzRAqGNZM7yP/9Tj+rhoVz+1s8u1JQnwQ1RUIwNbUrgL/gvx5WhL86eFV3K4m/avco8KWq3teT4Hxe4eG7DuK3j67A4VDmvpRL4fokLrhmE+tWpLDo/UzmvJjHTfeu4ZE5i6nb7uL3N4zpdrs3/2k1479WQ2q6hyfmLeLJB4Yw96W8oOJ56FdDuPuJ1TgcMPeFbDavS+TC67ey7oskFr6TzlvPZXPznzfw2PvLqNvu4p5rDgLgzB+WMmBIE9+7tojvXVsEwG0/GM32SjeX3FLI9DMrie/n498ffcac57J58i8DuwpljxwuOPi2RpZenoh6hYJvN5M8wse6B+Ppf4iXnOM9jP5ZIyt/lcCmJ+IQgXG/3YkIFD4Tx84tDjb8LZ4Nf/PXho+ctYP4zJ7/JPt8Dh7+6+H89t4F/u/vzaEUbkrlgotWsm5NOos+GsDI0VX88q6FJCc3M3lKMRdctIqfXHQKAPf+ZR6DBteR0M/DE8+/wf1/OIJPF3f/PfU4Xq8w8/YCZjy9EYcT5j6bwea1kbsoH23xdBa9o3SIhqm7vYhMBT4AvgBaz4FuC1Q396i/K0unJO96713k+Jqaui+0j52ydN+1BgbjnbOj7GlSa9ZHOoSotkjfpVarepWR4ocN1PxfXxNU2c0/umWpqu67+3IIoqYmIsPx19SOwn8m/TFwvap22QKhqguI5nRujOm5KO7RHsw1taeB54F8YADwAvBMOIMyxkSx0G6+3eeCSWqJqvpvVfUEpieBaDmxN8ZEgGpwUyR01feztZnxzcCQIM/iz9HfZZcmWGPMASZCLZvB6Oqa2lJa+xv5Xd5hmeIfDsQYcwCSKL6m1lXfz2H7MhBjzH4iuC5QERNUjwIRGQeMpcO1NFV9IlxBGWOiWeQaAYIRzC0dv8LfoXQs/mtppwMLAEtqxhyoorimFkzr5znAiUCJql4EHAZEQV8NY0zE+IKcIiCY08+dquoTEY+IpAJldB4DyRhzIGm9Ty1KBZPUlgRGmvwH/hbRevy9CowxB6j9svWzlapeGXj5NxF5C0hV1eXhDcsYE9X2x6QmInvtqSwiR7SOamuMMdGkq5ran7pYpsAJfRwL6vXhrW/ovuAB7NGnTot0CJ3svLZvxl7rK2Nuj65RTAC8NdsjHUKf2y9PP1X1+H0ZiDFmP6Hst92kjDFmz/bHmpoxxuzNfnn6aYwxexXFSS2Y536KiFwgIncE5geLyKTwh2aMiVp989zPsAimm9RDwBT8j3wHqANmhi0iY0xUEw1+ioRgTj8nq+oRIvIZgKpWB56mbIw5UO3nrZ8tIuIkUJkUkWwi1lXVGBMNormhIJjTz78CrwA5InI3/mGHZoQ1KmNMdIvia2rB9P18SkSW4h9+SIBvqWpQT2g3xsSgCF4vC0Ywg0QOBnYA/+n4nqoWhjMwY0wU25+TGvA67Q9gSQCGAWuAQ8IYlzEmikkUX1UP5vTz0I7zgdE7rtxLcWOMiaiQexSo6qciMjkcwezJxOnbueI3W3E64c1nMnl+Zl6n5e44Hz+7fxMjx++kttrJjJ8Mo3RrPClpHn45ayOjDtvB2y9kMvMX7YP1/ujmbZx0ThXJ/b18a/Th+3U8u5o6uJBbpi3AKcpLqw7mkaV7HkHq5IM2cP/X53Luc2ezsiyH/gmN3H/6HMbllPHq6jHc/b9jexVHq8SVNWS/uBl8Su0xOVSfMqDT8pSPy8l6tRBvf/9dQjXH5VJ7TA6uyiby/7HWXyPwKtun57L92NwexXDk1Couv3UDDqcy58U8XnhkcKflLrePm363hhGH1FFX4+aeGw6mrKj9ed3Z+Y387T9LeGrmEF7+5yDccT7ufWIZ7jgfTpeyYG4WTz04tEexdWfi9FquuKsIp0N585kMnn+wZ59Bn9ufTz9F5IYOsw7gCKAoiPUSgPlAfGA/L6rqr0IJzuFQrvrtFm793kgqit088PoaFs7tT+G6fm1lTj2vkvrtLi6aegjHnVnFJbdtY8aVw2luEh7/wwCGjt7J0DGNnba78J00Zv8rh8c+WBlKOFEXz27xiY/bp3/Apa9+k9L6JJ777ku8v3EoG6ozOpVLdDdzwWFfsKwkp+29Zo+TBxZOYkRmFSMzq3oVRxufkv38JrZdMwZPWhyD711Jw6FpNOcndipWf0Qm5d8d2uk9T383W288BHU7kEYvQ+5eTv2h6XjTQrtF0uFQrvzFem7/8aFUlMZz/3OfsfD9TLZsSGorc+rZJdTXuvjxaZOYdnoZF9/4Fb+78eC25ZfevJElH7R/hi3Nwq0Xj6dxhxOny8cfn1zGkvkZrFmeGlJswcR+1Yxt3HrecP/x9sY6Fs7pT+G6hO5XDqcobygI5paOlA5TPP5rbGcFsV4TcIKqHgYcDpwmIkeFEtzowxso2hRPSWE8nhYH815LZ8opncemmnJKDW+/4D/gPng9ncOn1gFK004nKxcn09y0+39x9adJVJW5QwklKuPZ1aG5ZWyp6c/W2lRafE7eWDuC44dv2q3ctUd9wqOfTqDJ0/6bttPj5tPifJo9zl7H0SphUz0t2Ql4shLA5aDuyAySllcHt7LLgbr9n5V4fD2uGYw6tI6iwn6UbO2Hp8XB/DezmXJCZacyR51QyTuv+mtAC+Zmc9hR1bTucMqJFZRsS6BwfcdELDTu8H9OLpfidIXnL3z0hB0UbYrrcLylMeXUKBmbLYpv6egyqQVuuk1R1d8EprtV9SlVbexqPQD1qw/MugNTSP/NzPwWyovbf5krStxk5bd0KpOV117G5xUaap2kpodn4MJoi2dXuUkNFNe310BK65PITe486ObB2eXkJdczf9OQsMfjqmnGk97+eXnS4nDVtOxWLvnzKgbfvZy8f6zFVd3Uvn51E4PvXs6wX3xO9cn5IdfSADJzm6goiW+bryiJJzOnebcy5YEyPq+wo85FapqHhEQv51yyhacf2v2zcjiUB15eytMLPuazj9L6vJYGkJnXQnlRh+OtePfjLWKiOKl1NZy3S1U9InJMTzceSIpLgRHATFVdtIcylwGXASSQuOti04cE5eapH3H7O9Ez/mfDoWnUT8xE3Q5SPygl94mNbLvOf+rnSY+n8PbxOGuaGTBrLfUTMvGm9r5GG6zvX7WZV58Y2FYr68jnE675vyNJSvHwi7+uZMiIBjavT9rDVmKPEN2tn13V1D4J/Pu5iMwWkQtF5P9ap2A2rqpeVT0cGAhMCjzpfdcys1R1oqpOdBPfaVllsZvs/PZf1ay8FiqKOx/UFSXtZRxOJSnVS211351CRXM8uyptSCK/Q80sN7mB0g41t6S4ZkZmVvGv/5vN3B8+yWF5pTz4jTc5JKcsLPF40uJwVbd/Xq6aZjxpnT8vX7K77TSz9pgc4gt3H87dmxZHU34i/dbXhhxDZWk8WXnttb+svCYqy+J2K5MdKONwKokpHmprXIweX8vFN27kn28v4qwLt/Hdy7Zwxve2dVq3oc7F8k/SOPLYProO2TGuEjfZAzocb/m7H28R0Ycd2kXkNBFZIyLrReSWLsqdLSIqIhO722Yw19QSgEr8zyQ4A/hm4N+gqWoN8D4Q0gD7a5YlUTCsidxBTbjcPqafVc3Ctzs/R3nh22mc/B3/AXXsN6pZ9mEK/t+Svhdt8exqRWkOg9NqKEitxe3w8vVR63n/q6Fty+ub45n6yEWc8vgFnPL4BSwryeXq109nZVnO3jfaC41Dkokra8RV0QgeHylLq2g4NL1TGef29j/apOXVNOf5L4K7qpuQZn91wLHDQ7+NdTTn9iNUa1ekMGDITnILduJy+5h2ejkL38/sVGbR+5mc9K1SAKaeUs7yRWmAcPOFh3PRyZO56OTJvPbvAp6bNYj/Pl1AanozSSkeAOLivUw4upqtG/v+LGPN54kUDGvucLzVsHBulDxHvA9OPwNncjOB04GxwPkiMnYP5VKA64DdzvT2pKvWz5xAy+cK2m++7fhf6i7gbKBFVWtEpB9wMvD7YIJq5fMKM385iBlPrcfhUOY+l8nmtf34wU1FrF2WyMK303jr2Uxu/ssm/rlgJXU1TmZcOaxt/cc/XkFSiheXW5lyag23fW8Ehev6ccntWzn+W9XE9/Px5OIveOuZTJ68b0AXkURnPLvyqoO7/3css878Lw6H8sqqMWyoyuDqyZ+wsiyb978a1uX6c3/4JMlxzbgdXk4Y/hWXvXrGbi2nIXEKZecOpWDmGv8tHVOyaR6QSMZ/t9I0OImG8emkzSshaXkNOAVvopPSCw8CIK6kkayX14AIqFJ9Yj7NBaEnDp9XePjuEfz2Hyv839kreRSuT+KCqzexbmUKi97PZM5Ledz0+9U88tYn1NW4+f1NY7rcZkZ2M8QxPEMAABacSURBVDfeswaHA8ShfPBWNp/8L7PLdXrC5xVm3l7AjKc34nDC3Gcz2Lw2wi2frfrmetkkYL2qbgQQkWfxN0Ku2qXcXfhzx8+C2aio7jk6ESkGHmbP1QxV1Tu73LDIeOBxwIm/Rvh8d+ukSoZOdp4STNwHrK0/32e3CAZl58Boe5rU6kiHsJtoeprUIn2XWq3q1alDv/xBOvxHN3RfEFj1uxs2AxUd3pqlqrMAROQc4DRV/XFg/kL8Q51d3Vo4cLP/7ap6tojMA25S1SVd7bOrmlpxd0moK4EHHk/o6frGmCgWfE2tQlW7vQ62JyLiAO4DfhTKel0ltegdBc4YEznaZ62f24BBHeYHBt5rlQKMA+aJCEAeMFtEzuyqttZVUjux57EaY2Ja31xTWwyMFJFh+JPZecD32nahuh3Iap0P9vRzr62fqtr3bdTGmJjQF7d0qKoHuBqYA3yJ/7r7ShG5U0TO7Gls9og8Y0zo+qi3gKq+Abyxy3t37KXs9GC2aUnNGBOaCHaBCoYlNWNMSIToHqXDkpoxJmSW1IwxscWSmjEmplhSM8bEjCgf+daSmjEmdJbUjDGxJJoHiYy+pOaLnlEfHCkpkQ5hN0NeLIl0CJ18eWNW94X2obKzdxuOK+IyH/040iH0OTv9NMbEDrv51hgTcyypGWNihfUoMMbEHPFFb1azpGaMCY1dUzPGxBo7/TTGxBZLasaYWGI1NWNMbLGkZoyJGX33NKmwsKRmjAmJ3admjIk9Gr1ZzZKaMSZkVlPbRyZOr+WKu4pwOpQ3n8ng+Qdz+3wfRx5bzRW3b8ThUN56IZcX/jGo03K328eN965l5CH11Na4uOf6MZRtS2DUoXVce9d6AESUpx4YzEfv+Ee4SErx8NPfrmPIqB2owp9vG8nqz1N7Ft+kUi6/ZjkOhzLn9SG88PToTsvHja/gsmuWM2x4Lb+782t8+L+CtmV33vshY8ZWs+qLDH5969E92v+uElfWkPN8IfiU7cdkU33agE7LUz8qJ+vlLXjS4gComZ5D7dSctuWOnV6G/GY5DYelU3b+0F7HM2VEITd940Mcory69GAe/2BCp+Vnf20l35m8Eq9P2Nns5u7XpvFVeQaTD9rC1Scvwu3y0eJx8Jc5U1jyVcFe9tJ39sUxHbID/eZbEXECS4BtqnpGuPbjcChXzdjGrecNp6LYzQNvrGPhnP4Urkvo233csYHbLhpHRWkcf3nxcxa9l0nhhsS2Mqd8p5T6WheXnDKR475ezsU3beJ3149h87pErj37cHxeIT27mYde+4yF72fi8wpX3L6RJR+kc/d1B+Ny+4hP6NlVWIdDufKny7j9xmOoKO/H/X9/n4Uf5rNlc3uCLCvrx333HMnZ563bbf2Xnh1JfIKXr3/zqx7tfzc+JeeZzWy7bjQt6XEMuWclDePTaR7Qr1Ox+iMz9pqwMmdvZefIvhkCyiE+fv7NBVz1rzMorU3iiSteZv7qIXxVntFW5q3lI3lp8SEATBuzietP/5hrn/gGNTv6cf1Tp1NRl8RBOVU88MP/8vU//KBP4tprvPvgmO6paG4o2OsT2vvQdfifvhxWoyfsoGhTHCWF8XhaHMx7LY0pp27v032MGl9H0eYESrYm4Glx8L/XsznqxMpOZaacUMk7r/hrGh/MyeLwKTWA0tToxOcVAOLifW2XJBKTPYz72nbmvOj/Bfa0OGio69lvzaiDqyjalkRJcRIej4P57w1kytTiTmXKSpLYtLE/Pp/stv6yT3PYuaPvfucSNtXTkhNPS3YCuBzUfi2TpOXVQa8fv7kBZ10LOw7u3yfxHDKwjC2VqWyrTsXjdTL3i4M47uBNnco0NMW1ve7nbmn7ntYUZ1FRlwTAhrJ04l1e3M7wjv23L47pnhJfcFMkhLWmJiIDgW8AdwM3hHNfmXktlBe1H5AVxW7GHLGjT/eRldtMeUl8+z5K4xk9vq5zHLnNVBT7y/i8wo46F6npHmqr3YweX8f1M9aRM6CRP948Cp9XyBvYyPYqNzfcs47hYxpYtzKZv909nKadzpDjy8xqpKKsvRZUUd6P0QcHn0T6mqu6BU96++flSYuj31f1u5VL/qyafuvraM5JoPw7g/FkxINPyX6xkJKLDyLxy775Q85JbaB0e3LbfNn2ZMYNLN2t3HcmreD7xyzH5fTyk8e+udvyEw/ZyOriLFq8oX9HodgXx3SPKFHdUBDumtr9wM3AXnO2iFwmIktEZEkLTWEOJ7LWLE/hijOO4LpzDufcy7fijvPhdCkjxtbz+jP5XP3tCTTudHDuZVsjHeo+Uz8+ja/uPozNvzyUHQf3J+/xjQCk/a+MhnFpeNLjutlC33vhk3F868/f44G5R3HJ9E87LRueU8U1pyxixmvT9nlc0UQ0uCkSwpbUROQMoExVl3ZVTlVnqepEVZ3oJr6rol2qLHGTPaC5bT4rv4WKYnePt7cnFaVxZOe1J96s3CYqSzv/0VWWxpGV7y/jcCqJKR5qqztXiLdsTGTnDidDRzVQURJPRUk8a5b7rxsteCuLEWN3r80Eo7Iigaycne3xZe+ksiJy11886W5c1e2fl6ummZZdkpQv2Y26/Yfh9qnZxG/210QSNtaTNq+UYbd9TvZLW0hZVEHWK1t6FU9ZbRK5/ds/25z+9ZQFTin3ZO4XI5je4fQ0J7WeP5w/h1+9dDzbqvvmlLgr++KY7jENcoqAcNbUjgHOFJFNwLPACSLyZLh2tubzRAqGNZM7qAmX28f0s2pYOLdvD7y1X6QwYOhOcgc24nL7OO4b5Sx8L6NTmYXvZXDSt8sAOPbUCpYtTAOE3IGNOJz+bzlnQCODhu+kdFsC1RVxlJfEUzDM/8d8+JSaTg0PIcW3Op0BA+vJzWvA5fIx7YStLPwwv+f/4V5qHJKMu6wJV0UTeHykLq6kYXxapzLO7e1/tMnLqmnO9yfhkksO4qt7DuerGYdTfvYg6iZnUfHtzi3NoVq1LYdBmdsZkFaLy+nllEM3MH/10E5lBmXUtL2eOmozhZX+Yyg5oYn7L3yTB9+ezLLCffOZ7otjuidab76N1ppa2K6pqeqtwK0AIjIduElVLwjX/nxeYebtBcx4eiMOJ8x9NoPNa/u2luLzCg/feRC/fWQFTifMfSmXwvVJXHjtZtauSGbRe5nMeTGPn/1hDY/OXULddhe/u34MAIccWcu5l27F4xHUBzN/fRC11f5f3YfvGs7Nf1yL2+2jeEsCf751VA/jc/Dw/Yfx2z9+iMMBc98YQuGmVC64eBXrVqez6KN8Ro6p5pd3LSQ5pYXJRxdzwUVf8pMfnQTAvQ/MZ9DgOhL6eXjihTe5/94j+HRxL24hcArl3x3CwL+uBh/UHp1N84BEMmdvpXFIEg2HpZP+XilJy2vAAd4kFyU/HN7z/XXD63Pwh/9O5YEfvo7Tocz+dDQbyzK4/ITFfFmUzfzVQzn3qBVMOmgbHq+Dup3x/Prl4wH47uQVDMrYzo+nL+XH0/0nH1c/fgbVDf262mWv7ItjukdUo3qQSNF9cMGvQ1Lr8paOVMnQyXJi2OMJVjQ+TUrysiMdQifR9jSpzMXhvXjfE9H0NKlF+i61WrV703cIUtIG6oRp1wVV9oP/3LxUVSf2Zn+h2ic336rqPGDevtiXMSb8rEeBMSZ2KBDFp5+W1IwxoYvenLZPehQYY2JMX7V+ishpIrJGRNaLyC17WH6DiKwSkeUi8q6IDOlum5bUjDEhE58GNXW5DX+/8JnA6cBY4HwRGbtLsc+Aiao6HngRuLe72CypGWNCE+yNt93X1CYB61V1o6o247+f9axOu1J9X1Vb+4YtBAZ2t1G7pmaMCYn/5tugL6pliciSDvOzVHVW4HUB0LGbyFZgchfbugR4s7sdWlIzxoQu+BE4KvriPjURuQCYCBzXXVlLasaYkIVQU+vKNqBj37eBgfc670vkJOB24DhV7XbUC7umZowJTd9dU1sMjBSRYSISB5wHzO5YQEQmAH8HzlTVsmDCs5qaMSZEfdP3U1U9InI1MAdwAo+p6koRuRNYoqqzgT8AycALIgJQqKpndrVdS2rGmND1UZ9xVX0DeGOX9+7o8PqkULdpSc0YExp7mLExJuZE8XDeltS64Kur677QvhZlMTl25nRfaB+qHhd9f2yZkQ4gHKLvY25jSc0YEzLxRe/5pyU1Y0xolFBuvt3nLKkZY0IiaF/dfBsWltSMMaGzpGaMiSmW1IwxMcOuqRljYo21fhpjYoja6acxJoYoltSMMTEmes8+LakZY0Jn96kZY2KLJTVjTMxQBW/0nn/GVFKbOL2WK+4qwulQ3nwmg+cfzLV4oiimxC9ryHplE6hSOzmHmpMKOi1P+aSMrNmFePrHAbD92DxqjwrfKCDRFs+eROMxBBy4NTUR2QTUAV7A0xdPldkbh0O5asY2bj1vOBXFbh54Yx0L5/SncF1CuHa5X8UT8Zh8SvZLX7HtioPxpMUx6M8raBiXTkteYqdidRMyqTh72IEXzx5E4zHUJoqT2r548Mrxqnp4OBMawOgJOyjaFEdJYTyeFgfzXktjyqnbw7nL/SqeSMeUUFhPS1YCnqwEcDmon5BJ8orqfbLv/SGePYnGYwgI9CjQ4KYIiJnTz8y8FsqL4trmK4rdjDliRxdrHFjxQGRjctY005LWvm9P/zjiC+t3K5e8rIp+G+poyU6g4ltD8KTHHxDx7Ek0HkN+CnrgXlNTYK6IKPD3Dk9mbiMilwGXASSQuOticwBpOCSduiOywOUg9aNScp7eQNFVYy2eaKNEdUNBuE8/p6rqEcDpwFUiMm3XAqo6S1UnqupENz3/FawscZM9oLltPiu/hYpid4+311vRFg9ENiZvWhzumvZ9u7Y34+0f16mML8kNLv8hWXtUDvFbGw6YePYkGo+hNqrBTREQ1qSmqtsC/5YBrwCTwrWvNZ8nUjCsmdxBTbjcPqafVcPCuf3Dtbv9Lp5Ix9Q4KBl3eSOuykbw+Ej+rJKGQ9I7lXFub/8DTlpRTUtuvwMmnj2JxmOoTRQntbCdfopIEuBQ1brA61OAO8O1P59XmHl7ATOe3ojDCXOfzWDz2si1EkVbPBGPySmUnz2UAX9fjfj8t1A05yeS8eYWGgclsWNcBmkflJC4ohqcgjfRRen5Bx048exBNB5DftHdoV00TMGJyHD8tTPwJ8+nVfXurtZJlQydLCeGJR4THuv/fFSkQ4h6I65fGOkQ2izSd6nVKunNNvq7c/TorO8EVfatkoeWhvvOh12FraamqhuBw8K1fWNMBEVxTS1mbukwxuwr1k3KGBNLFPQAvk/NGBOLItRbIBiW1IwxobNrasaYmKEK9uAVY0xMsZqaMSZ2KOr1RjqIvbKkZowJTevQQ1HKkpoxJnRRfEvHvhgk0hgTQxRQnwY1dUdEThORNSKyXkRu2cPyeBF5LrB8kYgM7W6bltSMMaHRwCCRwUxdEBEnMBP/0GRjgfNFZNcB6y4BqlV1BPBn4PfdhWdJzRgTMvV6g5q6MQlYr6obVbUZeBY4a5cyZwGPB16/CJwoIl12yA/bKB09ISLlwOY+2FQWUNEH2+krFk/Xoi0eiL6Y+iqeIaqa3ZsNiMhbgXiCkQA0dpif1ToCtoicA5ymqj8OzF8ITFbVqzvsa0WgzNbA/IZAmb1+FlHVUNDbD7uViCzZ18OddMXi6Vq0xQPRF1M0xaOqp0U6hq7Y6acxJlK2AYM6zA8MvLfHMiLiAvoDlV1t1JKaMSZSFgMjRWSYiMQB5wGzdykzG/hh4PU5wHvazTWzqDr97EO7PbUqwiyerkVbPBB9MUVbPL2mqh4RuRqYAziBx1R1pYjcCSxR1dnAo8C/RWQ9UIU/8XUpqhoKjDGmt+z00xgTUyypGWNiSkwlte66XEQgnsdEpCxwr03EicggEXlfRFaJyEoRuS7C8SSIyCcisiwQz28iGU8rEXGKyGci8t9IxwIgIptE5AsR+VxElkQ6nmgXM9fUAl0u1gInA1vxt6ycr6qrIhjTNKAeeEJVx0Uqjg7x5AP5qvqpiKQAS4FvReozCtwZnqSq9SLiBhYA16lqRJ8pJyI3ABOBVFU9I5KxBOLZBEzs6oZT0y6WamrBdLnYp1R1Pv4Wm6igqsWq+mngdR3wJVAQwXhUVesDs+7AFNFfWREZCHwDeCSScZiei6WkVgBs6TC/lQj+wUa7wGgHE4BFEY7DKSKfA2XA26oa0XiA+4GbgWgaW0eBuSKyVEQui3Qw0S6WkpoJkogkAy8BP1XV2kjGoqpeVT0c/93kk0QkYqfpInIGUKaqSyMVw15MVdUj8I9mcVXgsobZi1hKasF0uTjgBa5dvQQ8paovRzqeVqpaA7wPRLJf4THAmYFrWM8CJ4jIkxGMBwBV3Rb4twx4Bf+lFrMXsZTUgulycUALXJh/FPhSVe+LgniyRSQt8Lof/kae1ZGKR1VvVdWBqjoU//HznqpeEKl4AEQkKdCog4gkAacAUdGaHq1iJqmpqgdo7XLxJfC8qq6MZEwi8gzwMTBaRLaKyCWRjAd/TeRC/DWQzwPT1yMYTz7wvogsx/+j9LaqRsVtFFEkF1ggIsuAT4DXVfWtCMcU1WLmlg5jjIEYqqkZYwxYUjPGxBhLasaYmGJJzRgTUyypGWNiiiW1/YiIeAO3YawQkRdEJLEX2/pX4Gk+iMgje3jeYsey00Xk6B7sY5OI7PbUob29v0uZ+q6W76H8r0XkplBjNLHHktr+ZaeqHh4Y8aMZuKLjwsCDKUKmqj/uZqSO6UDISc2YSLCktv/6ABgRqEV9ICKzgVWBDuJ/EJHFIrJcRC4Hf28CEXkwMN7cO0BO64ZEZJ6ITAy8Pk1EPg2McfZuoOP7FcD1gVrisYGeAC8F9rFYRI4JrJspInMDY6M9AnT50NnAOq8GOmqv3LWztoj8OfD+uyKSHXjvIBF5K7DOByIypi8+TBM7YvXBKzEtUCM7HWi9s/wIYJyqfhVIDNtV9WsiEg98KCJz8Y/IMRoYi/8u9VXAY7tsNxv4BzAtsK0MVa0Skb8B9ar6x0C5p4E/q+oCERmMvxfHwcCvgAWqeqeIfAMIpgfFxYF99AMWi8hLqloJJOF/+Mb1InJHYNtX438AyRWquk5EJgMPASf04GM0McqS2v6lX2CYHvDX1B7Ff1r4iap+FXj/FGB86/Uy/M9JHAlMA55RVS9QJCLv7WH7RwHzW7elqnsbC+4kYKy/KykAqYGRP6YB/xdY93URqQ7i/3StiHw78HpQINZK/EP/PBd4/0ng5cA+jgZe6LDv+CD2YQ4gltT2LzsDw/S0CfxxN3R8C7hGVefsUq4v+3g6gKNUtXEPsQRNRKbjT5BTVHWHiMwDEvZSXAP7rdn1MzCmI7umFnvmAD8JDDGEiIwKjO4wH/hu4JpbPnD8HtZdCEwTkWGBdTMC79cBKR3KzQWuaZ0RkdYkMx/4XuC904H0bmLtD1QHEtoY/DXFVg78D68lsM0FgbHfvhKR7wT2ISJyWDf7MAcYS2qx5xH818s+Ff8DX/6Ov0b+CrAusOwJ/KOHdKKq5cBl+E/1ltF++vcf4NutDQXAtcDEQEPEKtpbYX+DPymuxH8aWthNrG8BLhH5Evgd/qTaqgH/oJEr8F8zuzPw/veBSwLxrSTCQ7ab6GOjdBhjYorV1IwxMcWSmjEmplhSM8bEFEtqxpiYYknNGBNTLKkZY2KKJTVjTEz5f/TOGb5XPEXqAAAAAElFTkSuQmCC\n",
            "text/plain": [
              "<Figure size 432x288 with 2 Axes>"
            ]
          },
          "metadata": {
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "The model tend to underestimate it's quality predictions"
      ],
      "metadata": {
        "id": "MCBLH1to-DtR"
      }
    },
    {
      "cell_type": "code",
      "source": [
        ""
      ],
      "metadata": {
        "id": "id882m-29zaX"
      },
      "execution_count": null,
      "outputs": []
    }
  ]
}