{
  "cells": [
    {
      "cell_type": "code",
      "execution_count": 104,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "OPwEv0eJJ687",
        "outputId": "9b9af3c5-9620-4b0b-ec32-fc1d3d008205"
      },
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Drive already mounted at /content/drive; to attempt to forcibly remount, call drive.mount(\"/content/drive\", force_remount=True).\n"
          ]
        }
      ],
      "source": [
        "import pandas as pd\n",
        "from google.colab import drive\n",
        "drive.mount('/content/drive')\n",
        "# load data from a csv file\n",
        "df = pd.read_csv('/content/sample_data/train.csv')\n",
        "df = df.drop('Id', axis=1)\n",
        "df_test = pd.read_csv('/content/sample_data/test.csv')"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 99,
      "metadata": {
        "id": "diqOZBHgKMr0"
      },
      "outputs": [],
      "source": [
        "# !pip install lightgbm\n",
        "# !pip install optuna\n",
        "# !pip install shap\n",
        "import shap\n",
        "import optuna\n",
        "import lightgbm as lgb\n",
        "import numpy as np\n",
        "from sklearn.model_selection import train_test_split\n",
        "from sklearn.metrics import mean_squared_error\n",
        "from sklearn.model_selection import StratifiedKFold\n",
        "# Plotting \n",
        "import matplotlib.pyplot as plt\n",
        "import plotly.express as px\n",
        "import seaborn as sns"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 105,
      "metadata": {
        "id": "0t8PXhn56WX0"
      },
      "outputs": [],
      "source": [
        "selected_columns = ['OverallQual', 'GrLivArea', 'TotalBsmtSF', 'YearBuilt', 'BsmtFinSF1',\n",
        "       'GarageCars', 'OverallCond', 'LotArea', 'YearRemodAdd', '1stFlrSF',\n",
        "       'Fireplaces', 'GarageArea','OpenPorchSF', '2ndFlrSF',\n",
        "       'TotRmsAbvGrd', 'FullBath', 'HalfBath', 'MSSubClass', 'BedroomAbvGr', 'KitchenAbvGr', 'SalePrice']\n",
        "df = df[selected_columns]\n",
        "df_test = df_test[selected_columns[:-1]]"
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "X, y = df.drop(\"SalePrice\", axis=1), df[\"SalePrice\"]"
      ],
      "metadata": {
        "id": "KEinrk1WUlVz"
      },
      "execution_count": 117,
      "outputs": []
    },
    {
      "cell_type": "code",
      "execution_count": 91,
      "metadata": {
        "id": "Bb02-G3CKSoX"
      },
      "outputs": [],
      "source": [
        "# Define objective function for Optuna\n",
        "def objective(trial):\n",
        "    params = {\n",
        "        'objective': 'regression',\n",
        "        'metric': 'rmse',\n",
        "        'boosting_type': 'gbdt',\n",
        "        \"n_estimators\": trial.suggest_int('n_estimators', 50, 1000),\n",
        "        'num_leaves': trial.suggest_int('num_leaves', 20, 100),\n",
        "        'max_depth': trial.suggest_int(\"max_depth\", 5, 50),\n",
        "        'learning_rate': trial.suggest_loguniform('learning_rate', 0.01, 0.3),\n",
        "        'colsample_bytree': trial.suggest_float('colsample_bytree', 0.5, 0.9),\n",
        "        'subsample': trial.suggest_float('subsample', 0.7, 0.8),\n",
        "        \"lambda_l1\": trial.suggest_float(\"lambda_l1\", 0, 5),\n",
        "        \"lambda_l2\": trial.suggest_float(\"lambda_l2\", 0, 3),\n",
        "        'min_child_weight': trial.suggest_float('min_child_weight', 2, 50),\n",
        "    }\n",
        "\n",
        "    cv = StratifiedKFold(n_splits=10, shuffle=True, random_state=42)\n",
        "    rmse_scores = []\n",
        "    for train_idx, val_idx in cv.split(X, y):\n",
        "        X_train, X_test = X.iloc[train_idx], X.iloc[val_idx]\n",
        "        y_train, y_test = y[train_idx], y[val_idx]\n",
        "\n",
        "        model = lgb.LGBMRegressor(**params)\n",
        "\n",
        "        # Fit the model on training data\n",
        "        model.fit(X_train, y_train, eval_set=[(X_test, y_test)], verbose = False)\n",
        "\n",
        "        y_pred_val = model.predict(X_test)\n",
        "        rmse = np.sqrt(mean_squared_error(y_test, y_pred_val))\n",
        "        rmse_scores.append(rmse)\n",
        "\n",
        "    # Calculate mean RMSE score across cross-validation folds\n",
        "    mean_rmse = np.mean(rmse_scores)\n",
        "\n",
        "    return mean_rmse\n"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 92,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 1000
        },
        "id": "uIAVdfjOKdUZ",
        "outputId": "50ecf5ac-92ab-4b96-a36f-a914abcc49a2"
      },
      "outputs": [
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "\u001b[32m[I 2023-04-17 03:09:58,951]\u001b[0m A new study created in memory with name: no-name-66b78dca-99fb-441d-89f0-8be456444005\u001b[0m\n",
            "suggest_loguniform has been deprecated in v3.0.0. This feature will be removed in v6.0.0. See https://github.com/optuna/optuna/releases/tag/v3.0.0. Use :func:`~optuna.trial.Trial.suggest_float` instead.\n",
            "The least populated class in y has only 1 members, which is less than n_splits=10.\n",
            "'verbose' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "[LightGBM] [Warning] lambda_l1 is set=3.0613318583976126, reg_alpha=0.0 will be ignored. Current value: lambda_l1=3.0613318583976126\n",
            "[LightGBM] [Warning] lambda_l2 is set=2.898081857451396, reg_lambda=0.0 will be ignored. Current value: lambda_l2=2.898081857451396\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "'verbose' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "[LightGBM] [Warning] lambda_l1 is set=3.0613318583976126, reg_alpha=0.0 will be ignored. Current value: lambda_l1=3.0613318583976126\n",
            "[LightGBM] [Warning] lambda_l2 is set=2.898081857451396, reg_lambda=0.0 will be ignored. Current value: lambda_l2=2.898081857451396\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "'verbose' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "[LightGBM] [Warning] lambda_l1 is set=3.0613318583976126, reg_alpha=0.0 will be ignored. Current value: lambda_l1=3.0613318583976126\n",
            "[LightGBM] [Warning] lambda_l2 is set=2.898081857451396, reg_lambda=0.0 will be ignored. Current value: lambda_l2=2.898081857451396\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "'verbose' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "[LightGBM] [Warning] lambda_l1 is set=3.0613318583976126, reg_alpha=0.0 will be ignored. Current value: lambda_l1=3.0613318583976126\n",
            "[LightGBM] [Warning] lambda_l2 is set=2.898081857451396, reg_lambda=0.0 will be ignored. Current value: lambda_l2=2.898081857451396\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "'verbose' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "[LightGBM] [Warning] lambda_l1 is set=3.0613318583976126, reg_alpha=0.0 will be ignored. Current value: lambda_l1=3.0613318583976126\n",
            "[LightGBM] [Warning] lambda_l2 is set=2.898081857451396, reg_lambda=0.0 will be ignored. Current value: lambda_l2=2.898081857451396\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "'verbose' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "[LightGBM] [Warning] lambda_l1 is set=3.0613318583976126, reg_alpha=0.0 will be ignored. Current value: lambda_l1=3.0613318583976126\n",
            "[LightGBM] [Warning] lambda_l2 is set=2.898081857451396, reg_lambda=0.0 will be ignored. Current value: lambda_l2=2.898081857451396\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "'verbose' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "[LightGBM] [Warning] lambda_l1 is set=3.0613318583976126, reg_alpha=0.0 will be ignored. Current value: lambda_l1=3.0613318583976126\n",
            "[LightGBM] [Warning] lambda_l2 is set=2.898081857451396, reg_lambda=0.0 will be ignored. Current value: lambda_l2=2.898081857451396\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "'verbose' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "[LightGBM] [Warning] lambda_l1 is set=3.0613318583976126, reg_alpha=0.0 will be ignored. Current value: lambda_l1=3.0613318583976126\n",
            "[LightGBM] [Warning] lambda_l2 is set=2.898081857451396, reg_lambda=0.0 will be ignored. Current value: lambda_l2=2.898081857451396\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "'verbose' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "[LightGBM] [Warning] lambda_l1 is set=3.0613318583976126, reg_alpha=0.0 will be ignored. Current value: lambda_l1=3.0613318583976126\n",
            "[LightGBM] [Warning] lambda_l2 is set=2.898081857451396, reg_lambda=0.0 will be ignored. Current value: lambda_l2=2.898081857451396\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "'verbose' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "[LightGBM] [Warning] lambda_l1 is set=3.0613318583976126, reg_alpha=0.0 will be ignored. Current value: lambda_l1=3.0613318583976126\n",
            "[LightGBM] [Warning] lambda_l2 is set=2.898081857451396, reg_lambda=0.0 will be ignored. Current value: lambda_l2=2.898081857451396\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "\u001b[32m[I 2023-04-17 03:10:05,089]\u001b[0m Trial 0 finished with value: 28488.588680892244 and parameters: {'n_estimators': 663, 'num_leaves': 68, 'max_depth': 17, 'learning_rate': 0.040089638161383695, 'colsample_bytree': 0.5990595054470451, 'subsample': 0.7990162762912074, 'lambda_l1': 3.0613318583976126, 'lambda_l2': 2.898081857451396, 'min_child_weight': 12.238529667783745}. Best is trial 0 with value: 28488.588680892244.\u001b[0m\n",
            "suggest_loguniform has been deprecated in v3.0.0. This feature will be removed in v6.0.0. See https://github.com/optuna/optuna/releases/tag/v3.0.0. Use :func:`~optuna.trial.Trial.suggest_float` instead.\n",
            "The least populated class in y has only 1 members, which is less than n_splits=10.\n",
            "'verbose' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "[LightGBM] [Warning] lambda_l1 is set=0.7405193204307797, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0.7405193204307797\n",
            "[LightGBM] [Warning] lambda_l2 is set=1.2965421507562418, reg_lambda=0.0 will be ignored. Current value: lambda_l2=1.2965421507562418\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "'verbose' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "[LightGBM] [Warning] lambda_l1 is set=0.7405193204307797, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0.7405193204307797\n",
            "[LightGBM] [Warning] lambda_l2 is set=1.2965421507562418, reg_lambda=0.0 will be ignored. Current value: lambda_l2=1.2965421507562418\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "'verbose' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "[LightGBM] [Warning] lambda_l1 is set=0.7405193204307797, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0.7405193204307797\n",
            "[LightGBM] [Warning] lambda_l2 is set=1.2965421507562418, reg_lambda=0.0 will be ignored. Current value: lambda_l2=1.2965421507562418\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "'verbose' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "[LightGBM] [Warning] lambda_l1 is set=0.7405193204307797, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0.7405193204307797\n",
            "[LightGBM] [Warning] lambda_l2 is set=1.2965421507562418, reg_lambda=0.0 will be ignored. Current value: lambda_l2=1.2965421507562418\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "'verbose' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "[LightGBM] [Warning] lambda_l1 is set=0.7405193204307797, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0.7405193204307797\n",
            "[LightGBM] [Warning] lambda_l2 is set=1.2965421507562418, reg_lambda=0.0 will be ignored. Current value: lambda_l2=1.2965421507562418\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "'verbose' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "[LightGBM] [Warning] lambda_l1 is set=0.7405193204307797, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0.7405193204307797\n",
            "[LightGBM] [Warning] lambda_l2 is set=1.2965421507562418, reg_lambda=0.0 will be ignored. Current value: lambda_l2=1.2965421507562418\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "'verbose' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "[LightGBM] [Warning] lambda_l1 is set=0.7405193204307797, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0.7405193204307797\n",
            "[LightGBM] [Warning] lambda_l2 is set=1.2965421507562418, reg_lambda=0.0 will be ignored. Current value: lambda_l2=1.2965421507562418\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "'verbose' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "[LightGBM] [Warning] lambda_l1 is set=0.7405193204307797, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0.7405193204307797\n",
            "[LightGBM] [Warning] lambda_l2 is set=1.2965421507562418, reg_lambda=0.0 will be ignored. Current value: lambda_l2=1.2965421507562418\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "'verbose' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "[LightGBM] [Warning] lambda_l1 is set=0.7405193204307797, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0.7405193204307797\n",
            "[LightGBM] [Warning] lambda_l2 is set=1.2965421507562418, reg_lambda=0.0 will be ignored. Current value: lambda_l2=1.2965421507562418\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "'verbose' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "[LightGBM] [Warning] lambda_l1 is set=0.7405193204307797, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0.7405193204307797\n",
            "[LightGBM] [Warning] lambda_l2 is set=1.2965421507562418, reg_lambda=0.0 will be ignored. Current value: lambda_l2=1.2965421507562418\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "\u001b[32m[I 2023-04-17 03:10:08,627]\u001b[0m Trial 1 finished with value: 28750.97776790942 and parameters: {'n_estimators': 551, 'num_leaves': 23, 'max_depth': 27, 'learning_rate': 0.028051956470765846, 'colsample_bytree': 0.5603733890395156, 'subsample': 0.7303949032858605, 'lambda_l1': 0.7405193204307797, 'lambda_l2': 1.2965421507562418, 'min_child_weight': 43.14829689104152}. Best is trial 0 with value: 28488.588680892244.\u001b[0m\n",
            "suggest_loguniform has been deprecated in v3.0.0. This feature will be removed in v6.0.0. See https://github.com/optuna/optuna/releases/tag/v3.0.0. Use :func:`~optuna.trial.Trial.suggest_float` instead.\n",
            "The least populated class in y has only 1 members, which is less than n_splits=10.\n",
            "'verbose' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "[LightGBM] [Warning] lambda_l1 is set=1.6523997640014387, reg_alpha=0.0 will be ignored. Current value: lambda_l1=1.6523997640014387\n",
            "[LightGBM] [Warning] lambda_l2 is set=1.155915876240728, reg_lambda=0.0 will be ignored. Current value: lambda_l2=1.155915876240728\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "'verbose' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "[LightGBM] [Warning] lambda_l1 is set=1.6523997640014387, reg_alpha=0.0 will be ignored. Current value: lambda_l1=1.6523997640014387\n",
            "[LightGBM] [Warning] lambda_l2 is set=1.155915876240728, reg_lambda=0.0 will be ignored. Current value: lambda_l2=1.155915876240728\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "'verbose' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "[LightGBM] [Warning] lambda_l1 is set=1.6523997640014387, reg_alpha=0.0 will be ignored. Current value: lambda_l1=1.6523997640014387\n",
            "[LightGBM] [Warning] lambda_l2 is set=1.155915876240728, reg_lambda=0.0 will be ignored. Current value: lambda_l2=1.155915876240728\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "'verbose' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "[LightGBM] [Warning] lambda_l1 is set=1.6523997640014387, reg_alpha=0.0 will be ignored. Current value: lambda_l1=1.6523997640014387\n",
            "[LightGBM] [Warning] lambda_l2 is set=1.155915876240728, reg_lambda=0.0 will be ignored. Current value: lambda_l2=1.155915876240728\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "'verbose' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "[LightGBM] [Warning] lambda_l1 is set=1.6523997640014387, reg_alpha=0.0 will be ignored. Current value: lambda_l1=1.6523997640014387\n",
            "[LightGBM] [Warning] lambda_l2 is set=1.155915876240728, reg_lambda=0.0 will be ignored. Current value: lambda_l2=1.155915876240728\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "'verbose' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "[LightGBM] [Warning] lambda_l1 is set=1.6523997640014387, reg_alpha=0.0 will be ignored. Current value: lambda_l1=1.6523997640014387\n",
            "[LightGBM] [Warning] lambda_l2 is set=1.155915876240728, reg_lambda=0.0 will be ignored. Current value: lambda_l2=1.155915876240728\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "'verbose' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "[LightGBM] [Warning] lambda_l1 is set=1.6523997640014387, reg_alpha=0.0 will be ignored. Current value: lambda_l1=1.6523997640014387\n",
            "[LightGBM] [Warning] lambda_l2 is set=1.155915876240728, reg_lambda=0.0 will be ignored. Current value: lambda_l2=1.155915876240728\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "'verbose' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "[LightGBM] [Warning] lambda_l1 is set=1.6523997640014387, reg_alpha=0.0 will be ignored. Current value: lambda_l1=1.6523997640014387\n",
            "[LightGBM] [Warning] lambda_l2 is set=1.155915876240728, reg_lambda=0.0 will be ignored. Current value: lambda_l2=1.155915876240728\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "'verbose' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "[LightGBM] [Warning] lambda_l1 is set=1.6523997640014387, reg_alpha=0.0 will be ignored. Current value: lambda_l1=1.6523997640014387\n",
            "[LightGBM] [Warning] lambda_l2 is set=1.155915876240728, reg_lambda=0.0 will be ignored. Current value: lambda_l2=1.155915876240728\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "'verbose' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "[LightGBM] [Warning] lambda_l1 is set=1.6523997640014387, reg_alpha=0.0 will be ignored. Current value: lambda_l1=1.6523997640014387\n",
            "[LightGBM] [Warning] lambda_l2 is set=1.155915876240728, reg_lambda=0.0 will be ignored. Current value: lambda_l2=1.155915876240728\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "\u001b[32m[I 2023-04-17 03:10:19,033]\u001b[0m Trial 2 finished with value: 28650.69702809532 and parameters: {'n_estimators': 749, 'num_leaves': 65, 'max_depth': 45, 'learning_rate': 0.11499177611251402, 'colsample_bytree': 0.7295795265505195, 'subsample': 0.7245465074865804, 'lambda_l1': 1.6523997640014387, 'lambda_l2': 1.155915876240728, 'min_child_weight': 12.901586637593548}. Best is trial 0 with value: 28488.588680892244.\u001b[0m\n",
            "suggest_loguniform has been deprecated in v3.0.0. This feature will be removed in v6.0.0. See https://github.com/optuna/optuna/releases/tag/v3.0.0. Use :func:`~optuna.trial.Trial.suggest_float` instead.\n",
            "The least populated class in y has only 1 members, which is less than n_splits=10.\n",
            "'verbose' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "[LightGBM] [Warning] lambda_l1 is set=0.6187984799497881, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0.6187984799497881\n",
            "[LightGBM] [Warning] lambda_l2 is set=2.830224900813376, reg_lambda=0.0 will be ignored. Current value: lambda_l2=2.830224900813376\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "'verbose' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "[LightGBM] [Warning] lambda_l1 is set=0.6187984799497881, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0.6187984799497881\n",
            "[LightGBM] [Warning] lambda_l2 is set=2.830224900813376, reg_lambda=0.0 will be ignored. Current value: lambda_l2=2.830224900813376\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "'verbose' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "[LightGBM] [Warning] lambda_l1 is set=0.6187984799497881, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0.6187984799497881\n",
            "[LightGBM] [Warning] lambda_l2 is set=2.830224900813376, reg_lambda=0.0 will be ignored. Current value: lambda_l2=2.830224900813376\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "'verbose' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "[LightGBM] [Warning] lambda_l1 is set=0.6187984799497881, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0.6187984799497881\n",
            "[LightGBM] [Warning] lambda_l2 is set=2.830224900813376, reg_lambda=0.0 will be ignored. Current value: lambda_l2=2.830224900813376\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "'verbose' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "[LightGBM] [Warning] lambda_l1 is set=0.6187984799497881, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0.6187984799497881\n",
            "[LightGBM] [Warning] lambda_l2 is set=2.830224900813376, reg_lambda=0.0 will be ignored. Current value: lambda_l2=2.830224900813376\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "'verbose' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "[LightGBM] [Warning] lambda_l1 is set=0.6187984799497881, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0.6187984799497881\n",
            "[LightGBM] [Warning] lambda_l2 is set=2.830224900813376, reg_lambda=0.0 will be ignored. Current value: lambda_l2=2.830224900813376\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "'verbose' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "[LightGBM] [Warning] lambda_l1 is set=0.6187984799497881, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0.6187984799497881\n",
            "[LightGBM] [Warning] lambda_l2 is set=2.830224900813376, reg_lambda=0.0 will be ignored. Current value: lambda_l2=2.830224900813376\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "'verbose' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "[LightGBM] [Warning] lambda_l1 is set=0.6187984799497881, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0.6187984799497881\n",
            "[LightGBM] [Warning] lambda_l2 is set=2.830224900813376, reg_lambda=0.0 will be ignored. Current value: lambda_l2=2.830224900813376\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "'verbose' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "[LightGBM] [Warning] lambda_l1 is set=0.6187984799497881, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0.6187984799497881\n",
            "[LightGBM] [Warning] lambda_l2 is set=2.830224900813376, reg_lambda=0.0 will be ignored. Current value: lambda_l2=2.830224900813376\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "'verbose' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "[LightGBM] [Warning] lambda_l1 is set=0.6187984799497881, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0.6187984799497881\n",
            "[LightGBM] [Warning] lambda_l2 is set=2.830224900813376, reg_lambda=0.0 will be ignored. Current value: lambda_l2=2.830224900813376\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "\u001b[32m[I 2023-04-17 03:10:27,516]\u001b[0m Trial 3 finished with value: 29376.072027510585 and parameters: {'n_estimators': 911, 'num_leaves': 27, 'max_depth': 29, 'learning_rate': 0.07389012477164504, 'colsample_bytree': 0.7481414690631422, 'subsample': 0.7342103932065579, 'lambda_l1': 0.6187984799497881, 'lambda_l2': 2.830224900813376, 'min_child_weight': 28.343084700895446}. Best is trial 0 with value: 28488.588680892244.\u001b[0m\n",
            "suggest_loguniform has been deprecated in v3.0.0. This feature will be removed in v6.0.0. See https://github.com/optuna/optuna/releases/tag/v3.0.0. Use :func:`~optuna.trial.Trial.suggest_float` instead.\n",
            "The least populated class in y has only 1 members, which is less than n_splits=10.\n",
            "'verbose' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.\n",
            "'verbose' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "[LightGBM] [Warning] lambda_l1 is set=3.0973404306336922, reg_alpha=0.0 will be ignored. Current value: lambda_l1=3.0973404306336922\n",
            "[LightGBM] [Warning] lambda_l2 is set=2.525308162750634, reg_lambda=0.0 will be ignored. Current value: lambda_l2=2.525308162750634\n",
            "[LightGBM] [Warning] lambda_l1 is set=3.0973404306336922, reg_alpha=0.0 will be ignored. Current value: lambda_l1=3.0973404306336922\n",
            "[LightGBM] [Warning] lambda_l2 is set=2.525308162750634, reg_lambda=0.0 will be ignored. Current value: lambda_l2=2.525308162750634\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "'verbose' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.\n",
            "'verbose' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "[LightGBM] [Warning] lambda_l1 is set=3.0973404306336922, reg_alpha=0.0 will be ignored. Current value: lambda_l1=3.0973404306336922\n",
            "[LightGBM] [Warning] lambda_l2 is set=2.525308162750634, reg_lambda=0.0 will be ignored. Current value: lambda_l2=2.525308162750634\n",
            "[LightGBM] [Warning] lambda_l1 is set=3.0973404306336922, reg_alpha=0.0 will be ignored. Current value: lambda_l1=3.0973404306336922\n",
            "[LightGBM] [Warning] lambda_l2 is set=2.525308162750634, reg_lambda=0.0 will be ignored. Current value: lambda_l2=2.525308162750634\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "'verbose' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.\n",
            "'verbose' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "[LightGBM] [Warning] lambda_l1 is set=3.0973404306336922, reg_alpha=0.0 will be ignored. Current value: lambda_l1=3.0973404306336922\n",
            "[LightGBM] [Warning] lambda_l2 is set=2.525308162750634, reg_lambda=0.0 will be ignored. Current value: lambda_l2=2.525308162750634\n",
            "[LightGBM] [Warning] lambda_l1 is set=3.0973404306336922, reg_alpha=0.0 will be ignored. Current value: lambda_l1=3.0973404306336922\n",
            "[LightGBM] [Warning] lambda_l2 is set=2.525308162750634, reg_lambda=0.0 will be ignored. Current value: lambda_l2=2.525308162750634\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "'verbose' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.\n",
            "'verbose' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "[LightGBM] [Warning] lambda_l1 is set=3.0973404306336922, reg_alpha=0.0 will be ignored. Current value: lambda_l1=3.0973404306336922\n",
            "[LightGBM] [Warning] lambda_l2 is set=2.525308162750634, reg_lambda=0.0 will be ignored. Current value: lambda_l2=2.525308162750634\n",
            "[LightGBM] [Warning] lambda_l1 is set=3.0973404306336922, reg_alpha=0.0 will be ignored. Current value: lambda_l1=3.0973404306336922\n",
            "[LightGBM] [Warning] lambda_l2 is set=2.525308162750634, reg_lambda=0.0 will be ignored. Current value: lambda_l2=2.525308162750634\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "'verbose' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.\n",
            "'verbose' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "[LightGBM] [Warning] lambda_l1 is set=3.0973404306336922, reg_alpha=0.0 will be ignored. Current value: lambda_l1=3.0973404306336922\n",
            "[LightGBM] [Warning] lambda_l2 is set=2.525308162750634, reg_lambda=0.0 will be ignored. Current value: lambda_l2=2.525308162750634\n",
            "[LightGBM] [Warning] lambda_l1 is set=3.0973404306336922, reg_alpha=0.0 will be ignored. Current value: lambda_l1=3.0973404306336922\n",
            "[LightGBM] [Warning] lambda_l2 is set=2.525308162750634, reg_lambda=0.0 will be ignored. Current value: lambda_l2=2.525308162750634\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "\u001b[32m[I 2023-04-17 03:10:28,612]\u001b[0m Trial 4 finished with value: 28987.125574991904 and parameters: {'n_estimators': 98, 'num_leaves': 53, 'max_depth': 37, 'learning_rate': 0.18715636965399898, 'colsample_bytree': 0.5792787903168644, 'subsample': 0.713296376450812, 'lambda_l1': 3.0973404306336922, 'lambda_l2': 2.525308162750634, 'min_child_weight': 16.88338713642509}. Best is trial 0 with value: 28488.588680892244.\u001b[0m\n",
            "suggest_loguniform has been deprecated in v3.0.0. This feature will be removed in v6.0.0. See https://github.com/optuna/optuna/releases/tag/v3.0.0. Use :func:`~optuna.trial.Trial.suggest_float` instead.\n",
            "The least populated class in y has only 1 members, which is less than n_splits=10.\n",
            "'verbose' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "[LightGBM] [Warning] lambda_l1 is set=3.1549363766258227, reg_alpha=0.0 will be ignored. Current value: lambda_l1=3.1549363766258227\n",
            "[LightGBM] [Warning] lambda_l2 is set=2.099830611116291, reg_lambda=0.0 will be ignored. Current value: lambda_l2=2.099830611116291\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "'verbose' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "[LightGBM] [Warning] lambda_l1 is set=3.1549363766258227, reg_alpha=0.0 will be ignored. Current value: lambda_l1=3.1549363766258227\n",
            "[LightGBM] [Warning] lambda_l2 is set=2.099830611116291, reg_lambda=0.0 will be ignored. Current value: lambda_l2=2.099830611116291\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "'verbose' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "[LightGBM] [Warning] lambda_l1 is set=3.1549363766258227, reg_alpha=0.0 will be ignored. Current value: lambda_l1=3.1549363766258227\n",
            "[LightGBM] [Warning] lambda_l2 is set=2.099830611116291, reg_lambda=0.0 will be ignored. Current value: lambda_l2=2.099830611116291\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "'verbose' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "[LightGBM] [Warning] lambda_l1 is set=3.1549363766258227, reg_alpha=0.0 will be ignored. Current value: lambda_l1=3.1549363766258227\n",
            "[LightGBM] [Warning] lambda_l2 is set=2.099830611116291, reg_lambda=0.0 will be ignored. Current value: lambda_l2=2.099830611116291\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "'verbose' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "[LightGBM] [Warning] lambda_l1 is set=3.1549363766258227, reg_alpha=0.0 will be ignored. Current value: lambda_l1=3.1549363766258227\n",
            "[LightGBM] [Warning] lambda_l2 is set=2.099830611116291, reg_lambda=0.0 will be ignored. Current value: lambda_l2=2.099830611116291\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "'verbose' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "[LightGBM] [Warning] lambda_l1 is set=3.1549363766258227, reg_alpha=0.0 will be ignored. Current value: lambda_l1=3.1549363766258227\n",
            "[LightGBM] [Warning] lambda_l2 is set=2.099830611116291, reg_lambda=0.0 will be ignored. Current value: lambda_l2=2.099830611116291\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "'verbose' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "[LightGBM] [Warning] lambda_l1 is set=3.1549363766258227, reg_alpha=0.0 will be ignored. Current value: lambda_l1=3.1549363766258227\n",
            "[LightGBM] [Warning] lambda_l2 is set=2.099830611116291, reg_lambda=0.0 will be ignored. Current value: lambda_l2=2.099830611116291\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "'verbose' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "[LightGBM] [Warning] lambda_l1 is set=3.1549363766258227, reg_alpha=0.0 will be ignored. Current value: lambda_l1=3.1549363766258227\n",
            "[LightGBM] [Warning] lambda_l2 is set=2.099830611116291, reg_lambda=0.0 will be ignored. Current value: lambda_l2=2.099830611116291\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "'verbose' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "[LightGBM] [Warning] lambda_l1 is set=3.1549363766258227, reg_alpha=0.0 will be ignored. Current value: lambda_l1=3.1549363766258227\n",
            "[LightGBM] [Warning] lambda_l2 is set=2.099830611116291, reg_lambda=0.0 will be ignored. Current value: lambda_l2=2.099830611116291\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "'verbose' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "[LightGBM] [Warning] lambda_l1 is set=3.1549363766258227, reg_alpha=0.0 will be ignored. Current value: lambda_l1=3.1549363766258227\n",
            "[LightGBM] [Warning] lambda_l2 is set=2.099830611116291, reg_lambda=0.0 will be ignored. Current value: lambda_l2=2.099830611116291\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "\u001b[32m[I 2023-04-17 03:10:32,174]\u001b[0m Trial 5 finished with value: 28068.90609651451 and parameters: {'n_estimators': 633, 'num_leaves': 22, 'max_depth': 9, 'learning_rate': 0.015331819328641907, 'colsample_bytree': 0.603382624656254, 'subsample': 0.7368064402034722, 'lambda_l1': 3.1549363766258227, 'lambda_l2': 2.099830611116291, 'min_child_weight': 11.69981082951341}. Best is trial 5 with value: 28068.90609651451.\u001b[0m\n",
            "suggest_loguniform has been deprecated in v3.0.0. This feature will be removed in v6.0.0. See https://github.com/optuna/optuna/releases/tag/v3.0.0. Use :func:`~optuna.trial.Trial.suggest_float` instead.\n",
            "The least populated class in y has only 1 members, which is less than n_splits=10.\n",
            "'verbose' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "[LightGBM] [Warning] lambda_l1 is set=2.520235372005729, reg_alpha=0.0 will be ignored. Current value: lambda_l1=2.520235372005729\n",
            "[LightGBM] [Warning] lambda_l2 is set=2.118513164627375, reg_lambda=0.0 will be ignored. Current value: lambda_l2=2.118513164627375\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "'verbose' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "[LightGBM] [Warning] lambda_l1 is set=2.520235372005729, reg_alpha=0.0 will be ignored. Current value: lambda_l1=2.520235372005729\n",
            "[LightGBM] [Warning] lambda_l2 is set=2.118513164627375, reg_lambda=0.0 will be ignored. Current value: lambda_l2=2.118513164627375\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "'verbose' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "[LightGBM] [Warning] lambda_l1 is set=2.520235372005729, reg_alpha=0.0 will be ignored. Current value: lambda_l1=2.520235372005729\n",
            "[LightGBM] [Warning] lambda_l2 is set=2.118513164627375, reg_lambda=0.0 will be ignored. Current value: lambda_l2=2.118513164627375\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "'verbose' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "[LightGBM] [Warning] lambda_l1 is set=2.520235372005729, reg_alpha=0.0 will be ignored. Current value: lambda_l1=2.520235372005729\n",
            "[LightGBM] [Warning] lambda_l2 is set=2.118513164627375, reg_lambda=0.0 will be ignored. Current value: lambda_l2=2.118513164627375\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "'verbose' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "[LightGBM] [Warning] lambda_l1 is set=2.520235372005729, reg_alpha=0.0 will be ignored. Current value: lambda_l1=2.520235372005729\n",
            "[LightGBM] [Warning] lambda_l2 is set=2.118513164627375, reg_lambda=0.0 will be ignored. Current value: lambda_l2=2.118513164627375\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "'verbose' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "[LightGBM] [Warning] lambda_l1 is set=2.520235372005729, reg_alpha=0.0 will be ignored. Current value: lambda_l1=2.520235372005729\n",
            "[LightGBM] [Warning] lambda_l2 is set=2.118513164627375, reg_lambda=0.0 will be ignored. Current value: lambda_l2=2.118513164627375\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "'verbose' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "[LightGBM] [Warning] lambda_l1 is set=2.520235372005729, reg_alpha=0.0 will be ignored. Current value: lambda_l1=2.520235372005729\n",
            "[LightGBM] [Warning] lambda_l2 is set=2.118513164627375, reg_lambda=0.0 will be ignored. Current value: lambda_l2=2.118513164627375\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "'verbose' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "[LightGBM] [Warning] lambda_l1 is set=2.520235372005729, reg_alpha=0.0 will be ignored. Current value: lambda_l1=2.520235372005729\n",
            "[LightGBM] [Warning] lambda_l2 is set=2.118513164627375, reg_lambda=0.0 will be ignored. Current value: lambda_l2=2.118513164627375\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "'verbose' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "[LightGBM] [Warning] lambda_l1 is set=2.520235372005729, reg_alpha=0.0 will be ignored. Current value: lambda_l1=2.520235372005729\n",
            "[LightGBM] [Warning] lambda_l2 is set=2.118513164627375, reg_lambda=0.0 will be ignored. Current value: lambda_l2=2.118513164627375\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "'verbose' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "[LightGBM] [Warning] lambda_l1 is set=2.520235372005729, reg_alpha=0.0 will be ignored. Current value: lambda_l1=2.520235372005729\n",
            "[LightGBM] [Warning] lambda_l2 is set=2.118513164627375, reg_lambda=0.0 will be ignored. Current value: lambda_l2=2.118513164627375\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "\u001b[32m[I 2023-04-17 03:10:39,677]\u001b[0m Trial 6 finished with value: 28466.773091144696 and parameters: {'n_estimators': 488, 'num_leaves': 44, 'max_depth': 24, 'learning_rate': 0.01181294479466327, 'colsample_bytree': 0.7370932699339365, 'subsample': 0.7361831167776913, 'lambda_l1': 2.520235372005729, 'lambda_l2': 2.118513164627375, 'min_child_weight': 27.83610349190173}. Best is trial 5 with value: 28068.90609651451.\u001b[0m\n",
            "suggest_loguniform has been deprecated in v3.0.0. This feature will be removed in v6.0.0. See https://github.com/optuna/optuna/releases/tag/v3.0.0. Use :func:`~optuna.trial.Trial.suggest_float` instead.\n",
            "The least populated class in y has only 1 members, which is less than n_splits=10.\n",
            "'verbose' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "[LightGBM] [Warning] lambda_l1 is set=3.3797409955554167, reg_alpha=0.0 will be ignored. Current value: lambda_l1=3.3797409955554167\n",
            "[LightGBM] [Warning] lambda_l2 is set=1.174697313213989, reg_lambda=0.0 will be ignored. Current value: lambda_l2=1.174697313213989\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "'verbose' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "[LightGBM] [Warning] lambda_l1 is set=3.3797409955554167, reg_alpha=0.0 will be ignored. Current value: lambda_l1=3.3797409955554167\n",
            "[LightGBM] [Warning] lambda_l2 is set=1.174697313213989, reg_lambda=0.0 will be ignored. Current value: lambda_l2=1.174697313213989\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "'verbose' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "[LightGBM] [Warning] lambda_l1 is set=3.3797409955554167, reg_alpha=0.0 will be ignored. Current value: lambda_l1=3.3797409955554167\n",
            "[LightGBM] [Warning] lambda_l2 is set=1.174697313213989, reg_lambda=0.0 will be ignored. Current value: lambda_l2=1.174697313213989\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "'verbose' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "[LightGBM] [Warning] lambda_l1 is set=3.3797409955554167, reg_alpha=0.0 will be ignored. Current value: lambda_l1=3.3797409955554167\n",
            "[LightGBM] [Warning] lambda_l2 is set=1.174697313213989, reg_lambda=0.0 will be ignored. Current value: lambda_l2=1.174697313213989\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "'verbose' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "[LightGBM] [Warning] lambda_l1 is set=3.3797409955554167, reg_alpha=0.0 will be ignored. Current value: lambda_l1=3.3797409955554167\n",
            "[LightGBM] [Warning] lambda_l2 is set=1.174697313213989, reg_lambda=0.0 will be ignored. Current value: lambda_l2=1.174697313213989\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "'verbose' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "[LightGBM] [Warning] lambda_l1 is set=3.3797409955554167, reg_alpha=0.0 will be ignored. Current value: lambda_l1=3.3797409955554167\n",
            "[LightGBM] [Warning] lambda_l2 is set=1.174697313213989, reg_lambda=0.0 will be ignored. Current value: lambda_l2=1.174697313213989\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "'verbose' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "[LightGBM] [Warning] lambda_l1 is set=3.3797409955554167, reg_alpha=0.0 will be ignored. Current value: lambda_l1=3.3797409955554167\n",
            "[LightGBM] [Warning] lambda_l2 is set=1.174697313213989, reg_lambda=0.0 will be ignored. Current value: lambda_l2=1.174697313213989\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "'verbose' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "[LightGBM] [Warning] lambda_l1 is set=3.3797409955554167, reg_alpha=0.0 will be ignored. Current value: lambda_l1=3.3797409955554167\n",
            "[LightGBM] [Warning] lambda_l2 is set=1.174697313213989, reg_lambda=0.0 will be ignored. Current value: lambda_l2=1.174697313213989\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "'verbose' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "[LightGBM] [Warning] lambda_l1 is set=3.3797409955554167, reg_alpha=0.0 will be ignored. Current value: lambda_l1=3.3797409955554167\n",
            "[LightGBM] [Warning] lambda_l2 is set=1.174697313213989, reg_lambda=0.0 will be ignored. Current value: lambda_l2=1.174697313213989\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "'verbose' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "[LightGBM] [Warning] lambda_l1 is set=3.3797409955554167, reg_alpha=0.0 will be ignored. Current value: lambda_l1=3.3797409955554167\n",
            "[LightGBM] [Warning] lambda_l2 is set=1.174697313213989, reg_lambda=0.0 will be ignored. Current value: lambda_l2=1.174697313213989\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "\u001b[32m[I 2023-04-17 03:10:42,090]\u001b[0m Trial 7 finished with value: 28828.424902652885 and parameters: {'n_estimators': 292, 'num_leaves': 37, 'max_depth': 26, 'learning_rate': 0.029213529009984474, 'colsample_bytree': 0.8362108744860639, 'subsample': 0.7831321771124967, 'lambda_l1': 3.3797409955554167, 'lambda_l2': 1.174697313213989, 'min_child_weight': 37.982597154539384}. Best is trial 5 with value: 28068.90609651451.\u001b[0m\n",
            "suggest_loguniform has been deprecated in v3.0.0. This feature will be removed in v6.0.0. See https://github.com/optuna/optuna/releases/tag/v3.0.0. Use :func:`~optuna.trial.Trial.suggest_float` instead.\n",
            "The least populated class in y has only 1 members, which is less than n_splits=10.\n",
            "'verbose' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.\n",
            "'verbose' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.\n",
            "'verbose' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.\n",
            "'verbose' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.\n",
            "'verbose' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "[LightGBM] [Warning] lambda_l1 is set=3.0409778195262094, reg_alpha=0.0 will be ignored. Current value: lambda_l1=3.0409778195262094\n",
            "[LightGBM] [Warning] lambda_l2 is set=2.9153548654825663, reg_lambda=0.0 will be ignored. Current value: lambda_l2=2.9153548654825663\n",
            "[LightGBM] [Warning] lambda_l1 is set=3.0409778195262094, reg_alpha=0.0 will be ignored. Current value: lambda_l1=3.0409778195262094\n",
            "[LightGBM] [Warning] lambda_l2 is set=2.9153548654825663, reg_lambda=0.0 will be ignored. Current value: lambda_l2=2.9153548654825663\n",
            "[LightGBM] [Warning] lambda_l1 is set=3.0409778195262094, reg_alpha=0.0 will be ignored. Current value: lambda_l1=3.0409778195262094\n",
            "[LightGBM] [Warning] lambda_l2 is set=2.9153548654825663, reg_lambda=0.0 will be ignored. Current value: lambda_l2=2.9153548654825663\n",
            "[LightGBM] [Warning] lambda_l1 is set=3.0409778195262094, reg_alpha=0.0 will be ignored. Current value: lambda_l1=3.0409778195262094\n",
            "[LightGBM] [Warning] lambda_l2 is set=2.9153548654825663, reg_lambda=0.0 will be ignored. Current value: lambda_l2=2.9153548654825663\n",
            "[LightGBM] [Warning] lambda_l1 is set=3.0409778195262094, reg_alpha=0.0 will be ignored. Current value: lambda_l1=3.0409778195262094\n",
            "[LightGBM] [Warning] lambda_l2 is set=2.9153548654825663, reg_lambda=0.0 will be ignored. Current value: lambda_l2=2.9153548654825663\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "'verbose' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.\n",
            "'verbose' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.\n",
            "'verbose' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.\n",
            "'verbose' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.\n",
            "'verbose' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "[LightGBM] [Warning] lambda_l1 is set=3.0409778195262094, reg_alpha=0.0 will be ignored. Current value: lambda_l1=3.0409778195262094\n",
            "[LightGBM] [Warning] lambda_l2 is set=2.9153548654825663, reg_lambda=0.0 will be ignored. Current value: lambda_l2=2.9153548654825663\n",
            "[LightGBM] [Warning] lambda_l1 is set=3.0409778195262094, reg_alpha=0.0 will be ignored. Current value: lambda_l1=3.0409778195262094\n",
            "[LightGBM] [Warning] lambda_l2 is set=2.9153548654825663, reg_lambda=0.0 will be ignored. Current value: lambda_l2=2.9153548654825663\n",
            "[LightGBM] [Warning] lambda_l1 is set=3.0409778195262094, reg_alpha=0.0 will be ignored. Current value: lambda_l1=3.0409778195262094\n",
            "[LightGBM] [Warning] lambda_l2 is set=2.9153548654825663, reg_lambda=0.0 will be ignored. Current value: lambda_l2=2.9153548654825663\n",
            "[LightGBM] [Warning] lambda_l1 is set=3.0409778195262094, reg_alpha=0.0 will be ignored. Current value: lambda_l1=3.0409778195262094\n",
            "[LightGBM] [Warning] lambda_l2 is set=2.9153548654825663, reg_lambda=0.0 will be ignored. Current value: lambda_l2=2.9153548654825663\n",
            "[LightGBM] [Warning] lambda_l1 is set=3.0409778195262094, reg_alpha=0.0 will be ignored. Current value: lambda_l1=3.0409778195262094\n",
            "[LightGBM] [Warning] lambda_l2 is set=2.9153548654825663, reg_lambda=0.0 will be ignored. Current value: lambda_l2=2.9153548654825663\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "\u001b[32m[I 2023-04-17 03:10:42,553]\u001b[0m Trial 8 finished with value: 53945.67979311933 and parameters: {'n_estimators': 53, 'num_leaves': 83, 'max_depth': 11, 'learning_rate': 0.011498898094579645, 'colsample_bytree': 0.7463801489428858, 'subsample': 0.7588200978151923, 'lambda_l1': 3.0409778195262094, 'lambda_l2': 2.9153548654825663, 'min_child_weight': 39.346472633705275}. Best is trial 5 with value: 28068.90609651451.\u001b[0m\n",
            "suggest_loguniform has been deprecated in v3.0.0. This feature will be removed in v6.0.0. See https://github.com/optuna/optuna/releases/tag/v3.0.0. Use :func:`~optuna.trial.Trial.suggest_float` instead.\n",
            "The least populated class in y has only 1 members, which is less than n_splits=10.\n",
            "'verbose' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "[LightGBM] [Warning] lambda_l1 is set=0.1668993434714794, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0.1668993434714794\n",
            "[LightGBM] [Warning] lambda_l2 is set=1.3379284436027148, reg_lambda=0.0 will be ignored. Current value: lambda_l2=1.3379284436027148\n",
            "[LightGBM] [Warning] lambda_l1 is set=0.1668993434714794, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0.1668993434714794\n",
            "[LightGBM] [Warning] lambda_l2 is set=1.3379284436027148, reg_lambda=0.0 will be ignored. Current value: lambda_l2=1.3379284436027148\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "'verbose' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.\n",
            "'verbose' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "[LightGBM] [Warning] lambda_l1 is set=0.1668993434714794, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0.1668993434714794\n",
            "[LightGBM] [Warning] lambda_l2 is set=1.3379284436027148, reg_lambda=0.0 will be ignored. Current value: lambda_l2=1.3379284436027148\n",
            "[LightGBM] [Warning] lambda_l1 is set=0.1668993434714794, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0.1668993434714794\n",
            "[LightGBM] [Warning] lambda_l2 is set=1.3379284436027148, reg_lambda=0.0 will be ignored. Current value: lambda_l2=1.3379284436027148\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "'verbose' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.\n",
            "'verbose' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "[LightGBM] [Warning] lambda_l1 is set=0.1668993434714794, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0.1668993434714794\n",
            "[LightGBM] [Warning] lambda_l2 is set=1.3379284436027148, reg_lambda=0.0 will be ignored. Current value: lambda_l2=1.3379284436027148\n",
            "[LightGBM] [Warning] lambda_l1 is set=0.1668993434714794, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0.1668993434714794\n",
            "[LightGBM] [Warning] lambda_l2 is set=1.3379284436027148, reg_lambda=0.0 will be ignored. Current value: lambda_l2=1.3379284436027148\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "'verbose' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.\n",
            "'verbose' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "[LightGBM] [Warning] lambda_l1 is set=0.1668993434714794, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0.1668993434714794\n",
            "[LightGBM] [Warning] lambda_l2 is set=1.3379284436027148, reg_lambda=0.0 will be ignored. Current value: lambda_l2=1.3379284436027148\n",
            "[LightGBM] [Warning] lambda_l1 is set=0.1668993434714794, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0.1668993434714794\n",
            "[LightGBM] [Warning] lambda_l2 is set=1.3379284436027148, reg_lambda=0.0 will be ignored. Current value: lambda_l2=1.3379284436027148\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "'verbose' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.\n",
            "'verbose' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "[LightGBM] [Warning] lambda_l1 is set=0.1668993434714794, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0.1668993434714794\n",
            "[LightGBM] [Warning] lambda_l2 is set=1.3379284436027148, reg_lambda=0.0 will be ignored. Current value: lambda_l2=1.3379284436027148\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "'verbose' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.\n",
            "\u001b[32m[I 2023-04-17 03:10:44,502]\u001b[0m Trial 9 finished with value: 29501.609246834014 and parameters: {'n_estimators': 261, 'num_leaves': 87, 'max_depth': 26, 'learning_rate': 0.011628907712676453, 'colsample_bytree': 0.5732664255374971, 'subsample': 0.7988895271338936, 'lambda_l1': 0.1668993434714794, 'lambda_l2': 1.3379284436027148, 'min_child_weight': 30.38590986039212}. Best is trial 5 with value: 28068.90609651451.\u001b[0m\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "[LightGBM] [Warning] lambda_l1 is set=0.1668993434714794, reg_alpha=0.0 will be ignored. Current value: lambda_l1=0.1668993434714794\n",
            "[LightGBM] [Warning] lambda_l2 is set=1.3379284436027148, reg_lambda=0.0 will be ignored. Current value: lambda_l2=1.3379284436027148\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "suggest_loguniform has been deprecated in v3.0.0. This feature will be removed in v6.0.0. See https://github.com/optuna/optuna/releases/tag/v3.0.0. Use :func:`~optuna.trial.Trial.suggest_float` instead.\n",
            "The least populated class in y has only 1 members, which is less than n_splits=10.\n",
            "'verbose' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "[LightGBM] [Warning] lambda_l1 is set=4.623637366794968, reg_alpha=0.0 will be ignored. Current value: lambda_l1=4.623637366794968\n",
            "[LightGBM] [Warning] lambda_l2 is set=0.41643604155780256, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0.41643604155780256\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "'verbose' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "[LightGBM] [Warning] lambda_l1 is set=4.623637366794968, reg_alpha=0.0 will be ignored. Current value: lambda_l1=4.623637366794968\n",
            "[LightGBM] [Warning] lambda_l2 is set=0.41643604155780256, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0.41643604155780256\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "'verbose' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "[LightGBM] [Warning] lambda_l1 is set=4.623637366794968, reg_alpha=0.0 will be ignored. Current value: lambda_l1=4.623637366794968\n",
            "[LightGBM] [Warning] lambda_l2 is set=0.41643604155780256, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0.41643604155780256\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "'verbose' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "[LightGBM] [Warning] lambda_l1 is set=4.623637366794968, reg_alpha=0.0 will be ignored. Current value: lambda_l1=4.623637366794968\n",
            "[LightGBM] [Warning] lambda_l2 is set=0.41643604155780256, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0.41643604155780256\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "'verbose' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "[LightGBM] [Warning] lambda_l1 is set=4.623637366794968, reg_alpha=0.0 will be ignored. Current value: lambda_l1=4.623637366794968\n",
            "[LightGBM] [Warning] lambda_l2 is set=0.41643604155780256, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0.41643604155780256\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "'verbose' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "[LightGBM] [Warning] lambda_l1 is set=4.623637366794968, reg_alpha=0.0 will be ignored. Current value: lambda_l1=4.623637366794968\n",
            "[LightGBM] [Warning] lambda_l2 is set=0.41643604155780256, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0.41643604155780256\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "'verbose' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "[LightGBM] [Warning] lambda_l1 is set=4.623637366794968, reg_alpha=0.0 will be ignored. Current value: lambda_l1=4.623637366794968\n",
            "[LightGBM] [Warning] lambda_l2 is set=0.41643604155780256, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0.41643604155780256\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "'verbose' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "[LightGBM] [Warning] lambda_l1 is set=4.623637366794968, reg_alpha=0.0 will be ignored. Current value: lambda_l1=4.623637366794968\n",
            "[LightGBM] [Warning] lambda_l2 is set=0.41643604155780256, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0.41643604155780256\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "'verbose' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "[LightGBM] [Warning] lambda_l1 is set=4.623637366794968, reg_alpha=0.0 will be ignored. Current value: lambda_l1=4.623637366794968\n",
            "[LightGBM] [Warning] lambda_l2 is set=0.41643604155780256, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0.41643604155780256\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "'verbose' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "[LightGBM] [Warning] lambda_l1 is set=4.623637366794968, reg_alpha=0.0 will be ignored. Current value: lambda_l1=4.623637366794968\n",
            "[LightGBM] [Warning] lambda_l2 is set=0.41643604155780256, reg_lambda=0.0 will be ignored. Current value: lambda_l2=0.41643604155780256\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "\u001b[32m[I 2023-04-17 03:10:48,457]\u001b[0m Trial 10 finished with value: 28955.35097173706 and parameters: {'n_estimators': 964, 'num_leaves': 98, 'max_depth': 6, 'learning_rate': 0.2423697403655753, 'colsample_bytree': 0.5039451797153821, 'subsample': 0.709664308077658, 'lambda_l1': 4.623637366794968, 'lambda_l2': 0.41643604155780256, 'min_child_weight': 4.153172304466409}. Best is trial 5 with value: 28068.90609651451.\u001b[0m\n",
            "suggest_loguniform has been deprecated in v3.0.0. This feature will be removed in v6.0.0. See https://github.com/optuna/optuna/releases/tag/v3.0.0. Use :func:`~optuna.trial.Trial.suggest_float` instead.\n",
            "The least populated class in y has only 1 members, which is less than n_splits=10.\n",
            "'verbose' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "[LightGBM] [Warning] lambda_l1 is set=1.998495850284851, reg_alpha=0.0 will be ignored. Current value: lambda_l1=1.998495850284851\n",
            "[LightGBM] [Warning] lambda_l2 is set=2.1251214066394013, reg_lambda=0.0 will be ignored. Current value: lambda_l2=2.1251214066394013\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "'verbose' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "[LightGBM] [Warning] lambda_l1 is set=1.998495850284851, reg_alpha=0.0 will be ignored. Current value: lambda_l1=1.998495850284851\n",
            "[LightGBM] [Warning] lambda_l2 is set=2.1251214066394013, reg_lambda=0.0 will be ignored. Current value: lambda_l2=2.1251214066394013\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "'verbose' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "[LightGBM] [Warning] lambda_l1 is set=1.998495850284851, reg_alpha=0.0 will be ignored. Current value: lambda_l1=1.998495850284851\n",
            "[LightGBM] [Warning] lambda_l2 is set=2.1251214066394013, reg_lambda=0.0 will be ignored. Current value: lambda_l2=2.1251214066394013\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "'verbose' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "[LightGBM] [Warning] lambda_l1 is set=1.998495850284851, reg_alpha=0.0 will be ignored. Current value: lambda_l1=1.998495850284851\n",
            "[LightGBM] [Warning] lambda_l2 is set=2.1251214066394013, reg_lambda=0.0 will be ignored. Current value: lambda_l2=2.1251214066394013\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "'verbose' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "[LightGBM] [Warning] lambda_l1 is set=1.998495850284851, reg_alpha=0.0 will be ignored. Current value: lambda_l1=1.998495850284851\n",
            "[LightGBM] [Warning] lambda_l2 is set=2.1251214066394013, reg_lambda=0.0 will be ignored. Current value: lambda_l2=2.1251214066394013\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "'verbose' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "[LightGBM] [Warning] lambda_l1 is set=1.998495850284851, reg_alpha=0.0 will be ignored. Current value: lambda_l1=1.998495850284851\n",
            "[LightGBM] [Warning] lambda_l2 is set=2.1251214066394013, reg_lambda=0.0 will be ignored. Current value: lambda_l2=2.1251214066394013\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "'verbose' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "[LightGBM] [Warning] lambda_l1 is set=1.998495850284851, reg_alpha=0.0 will be ignored. Current value: lambda_l1=1.998495850284851\n",
            "[LightGBM] [Warning] lambda_l2 is set=2.1251214066394013, reg_lambda=0.0 will be ignored. Current value: lambda_l2=2.1251214066394013\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "'verbose' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "[LightGBM] [Warning] lambda_l1 is set=1.998495850284851, reg_alpha=0.0 will be ignored. Current value: lambda_l1=1.998495850284851\n",
            "[LightGBM] [Warning] lambda_l2 is set=2.1251214066394013, reg_lambda=0.0 will be ignored. Current value: lambda_l2=2.1251214066394013\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "'verbose' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "[LightGBM] [Warning] lambda_l1 is set=1.998495850284851, reg_alpha=0.0 will be ignored. Current value: lambda_l1=1.998495850284851\n",
            "[LightGBM] [Warning] lambda_l2 is set=2.1251214066394013, reg_lambda=0.0 will be ignored. Current value: lambda_l2=2.1251214066394013\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "'verbose' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "[LightGBM] [Warning] lambda_l1 is set=1.998495850284851, reg_alpha=0.0 will be ignored. Current value: lambda_l1=1.998495850284851\n",
            "[LightGBM] [Warning] lambda_l2 is set=2.1251214066394013, reg_lambda=0.0 will be ignored. Current value: lambda_l2=2.1251214066394013\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "\u001b[32m[I 2023-04-17 03:10:53,670]\u001b[0m Trial 11 finished with value: 28240.359891178174 and parameters: {'n_estimators': 443, 'num_leaves': 43, 'max_depth': 15, 'learning_rate': 0.016948810455406856, 'colsample_bytree': 0.6550982518709982, 'subsample': 0.7495136528447012, 'lambda_l1': 1.998495850284851, 'lambda_l2': 2.1251214066394013, 'min_child_weight': 22.34434511453758}. Best is trial 5 with value: 28068.90609651451.\u001b[0m\n",
            "suggest_loguniform has been deprecated in v3.0.0. This feature will be removed in v6.0.0. See https://github.com/optuna/optuna/releases/tag/v3.0.0. Use :func:`~optuna.trial.Trial.suggest_float` instead.\n",
            "The least populated class in y has only 1 members, which is less than n_splits=10.\n",
            "'verbose' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "[LightGBM] [Warning] lambda_l1 is set=1.7781464261605766, reg_alpha=0.0 will be ignored. Current value: lambda_l1=1.7781464261605766\n",
            "[LightGBM] [Warning] lambda_l2 is set=1.9774635759192494, reg_lambda=0.0 will be ignored. Current value: lambda_l2=1.9774635759192494\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "'verbose' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "[LightGBM] [Warning] lambda_l1 is set=1.7781464261605766, reg_alpha=0.0 will be ignored. Current value: lambda_l1=1.7781464261605766\n",
            "[LightGBM] [Warning] lambda_l2 is set=1.9774635759192494, reg_lambda=0.0 will be ignored. Current value: lambda_l2=1.9774635759192494\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "'verbose' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "[LightGBM] [Warning] lambda_l1 is set=1.7781464261605766, reg_alpha=0.0 will be ignored. Current value: lambda_l1=1.7781464261605766\n",
            "[LightGBM] [Warning] lambda_l2 is set=1.9774635759192494, reg_lambda=0.0 will be ignored. Current value: lambda_l2=1.9774635759192494\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "'verbose' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "[LightGBM] [Warning] lambda_l1 is set=1.7781464261605766, reg_alpha=0.0 will be ignored. Current value: lambda_l1=1.7781464261605766\n",
            "[LightGBM] [Warning] lambda_l2 is set=1.9774635759192494, reg_lambda=0.0 will be ignored. Current value: lambda_l2=1.9774635759192494\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "'verbose' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "[LightGBM] [Warning] lambda_l1 is set=1.7781464261605766, reg_alpha=0.0 will be ignored. Current value: lambda_l1=1.7781464261605766\n",
            "[LightGBM] [Warning] lambda_l2 is set=1.9774635759192494, reg_lambda=0.0 will be ignored. Current value: lambda_l2=1.9774635759192494\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "'verbose' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "[LightGBM] [Warning] lambda_l1 is set=1.7781464261605766, reg_alpha=0.0 will be ignored. Current value: lambda_l1=1.7781464261605766\n",
            "[LightGBM] [Warning] lambda_l2 is set=1.9774635759192494, reg_lambda=0.0 will be ignored. Current value: lambda_l2=1.9774635759192494\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "'verbose' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "[LightGBM] [Warning] lambda_l1 is set=1.7781464261605766, reg_alpha=0.0 will be ignored. Current value: lambda_l1=1.7781464261605766\n",
            "[LightGBM] [Warning] lambda_l2 is set=1.9774635759192494, reg_lambda=0.0 will be ignored. Current value: lambda_l2=1.9774635759192494\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "'verbose' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "[LightGBM] [Warning] lambda_l1 is set=1.7781464261605766, reg_alpha=0.0 will be ignored. Current value: lambda_l1=1.7781464261605766\n",
            "[LightGBM] [Warning] lambda_l2 is set=1.9774635759192494, reg_lambda=0.0 will be ignored. Current value: lambda_l2=1.9774635759192494\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "'verbose' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "[LightGBM] [Warning] lambda_l1 is set=1.7781464261605766, reg_alpha=0.0 will be ignored. Current value: lambda_l1=1.7781464261605766\n",
            "[LightGBM] [Warning] lambda_l2 is set=1.9774635759192494, reg_lambda=0.0 will be ignored. Current value: lambda_l2=1.9774635759192494\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "'verbose' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "[LightGBM] [Warning] lambda_l1 is set=1.7781464261605766, reg_alpha=0.0 will be ignored. Current value: lambda_l1=1.7781464261605766\n",
            "[LightGBM] [Warning] lambda_l2 is set=1.9774635759192494, reg_lambda=0.0 will be ignored. Current value: lambda_l2=1.9774635759192494\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "\u001b[32m[I 2023-04-17 03:10:57,036]\u001b[0m Trial 12 finished with value: 28255.498102640173 and parameters: {'n_estimators': 376, 'num_leaves': 38, 'max_depth': 15, 'learning_rate': 0.021639419092813708, 'colsample_bytree': 0.6444893877835142, 'subsample': 0.7570735547301097, 'lambda_l1': 1.7781464261605766, 'lambda_l2': 1.9774635759192494, 'min_child_weight': 19.779429378891997}. Best is trial 5 with value: 28068.90609651451.\u001b[0m\n",
            "suggest_loguniform has been deprecated in v3.0.0. This feature will be removed in v6.0.0. See https://github.com/optuna/optuna/releases/tag/v3.0.0. Use :func:`~optuna.trial.Trial.suggest_float` instead.\n",
            "The least populated class in y has only 1 members, which is less than n_splits=10.\n",
            "'verbose' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "[LightGBM] [Warning] lambda_l1 is set=3.871975777064545, reg_alpha=0.0 will be ignored. Current value: lambda_l1=3.871975777064545\n",
            "[LightGBM] [Warning] lambda_l2 is set=2.0052794032585197, reg_lambda=0.0 will be ignored. Current value: lambda_l2=2.0052794032585197\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "'verbose' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "[LightGBM] [Warning] lambda_l1 is set=3.871975777064545, reg_alpha=0.0 will be ignored. Current value: lambda_l1=3.871975777064545\n",
            "[LightGBM] [Warning] lambda_l2 is set=2.0052794032585197, reg_lambda=0.0 will be ignored. Current value: lambda_l2=2.0052794032585197\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "'verbose' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "[LightGBM] [Warning] lambda_l1 is set=3.871975777064545, reg_alpha=0.0 will be ignored. Current value: lambda_l1=3.871975777064545\n",
            "[LightGBM] [Warning] lambda_l2 is set=2.0052794032585197, reg_lambda=0.0 will be ignored. Current value: lambda_l2=2.0052794032585197\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "'verbose' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "[LightGBM] [Warning] lambda_l1 is set=3.871975777064545, reg_alpha=0.0 will be ignored. Current value: lambda_l1=3.871975777064545\n",
            "[LightGBM] [Warning] lambda_l2 is set=2.0052794032585197, reg_lambda=0.0 will be ignored. Current value: lambda_l2=2.0052794032585197\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "'verbose' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "[LightGBM] [Warning] lambda_l1 is set=3.871975777064545, reg_alpha=0.0 will be ignored. Current value: lambda_l1=3.871975777064545\n",
            "[LightGBM] [Warning] lambda_l2 is set=2.0052794032585197, reg_lambda=0.0 will be ignored. Current value: lambda_l2=2.0052794032585197\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "'verbose' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "[LightGBM] [Warning] lambda_l1 is set=3.871975777064545, reg_alpha=0.0 will be ignored. Current value: lambda_l1=3.871975777064545\n",
            "[LightGBM] [Warning] lambda_l2 is set=2.0052794032585197, reg_lambda=0.0 will be ignored. Current value: lambda_l2=2.0052794032585197\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "'verbose' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "[LightGBM] [Warning] lambda_l1 is set=3.871975777064545, reg_alpha=0.0 will be ignored. Current value: lambda_l1=3.871975777064545\n",
            "[LightGBM] [Warning] lambda_l2 is set=2.0052794032585197, reg_lambda=0.0 will be ignored. Current value: lambda_l2=2.0052794032585197\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "'verbose' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "[LightGBM] [Warning] lambda_l1 is set=3.871975777064545, reg_alpha=0.0 will be ignored. Current value: lambda_l1=3.871975777064545\n",
            "[LightGBM] [Warning] lambda_l2 is set=2.0052794032585197, reg_lambda=0.0 will be ignored. Current value: lambda_l2=2.0052794032585197\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "'verbose' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "[LightGBM] [Warning] lambda_l1 is set=3.871975777064545, reg_alpha=0.0 will be ignored. Current value: lambda_l1=3.871975777064545\n",
            "[LightGBM] [Warning] lambda_l2 is set=2.0052794032585197, reg_lambda=0.0 will be ignored. Current value: lambda_l2=2.0052794032585197\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "'verbose' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "[LightGBM] [Warning] lambda_l1 is set=3.871975777064545, reg_alpha=0.0 will be ignored. Current value: lambda_l1=3.871975777064545\n",
            "[LightGBM] [Warning] lambda_l2 is set=2.0052794032585197, reg_lambda=0.0 will be ignored. Current value: lambda_l2=2.0052794032585197\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "\u001b[32m[I 2023-04-17 03:11:00,929]\u001b[0m Trial 13 finished with value: 28288.773983643507 and parameters: {'n_estimators': 644, 'num_leaves': 21, 'max_depth': 11, 'learning_rate': 0.018931676318806243, 'colsample_bytree': 0.6638823014562841, 'subsample': 0.7474553609648743, 'lambda_l1': 3.871975777064545, 'lambda_l2': 2.0052794032585197, 'min_child_weight': 21.52557281672388}. Best is trial 5 with value: 28068.90609651451.\u001b[0m\n",
            "suggest_loguniform has been deprecated in v3.0.0. This feature will be removed in v6.0.0. See https://github.com/optuna/optuna/releases/tag/v3.0.0. Use :func:`~optuna.trial.Trial.suggest_float` instead.\n",
            "The least populated class in y has only 1 members, which is less than n_splits=10.\n",
            "'verbose' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "[LightGBM] [Warning] lambda_l1 is set=2.231021269452984, reg_alpha=0.0 will be ignored. Current value: lambda_l1=2.231021269452984\n",
            "[LightGBM] [Warning] lambda_l2 is set=2.312366881039064, reg_lambda=0.0 will be ignored. Current value: lambda_l2=2.312366881039064\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "'verbose' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "[LightGBM] [Warning] lambda_l1 is set=2.231021269452984, reg_alpha=0.0 will be ignored. Current value: lambda_l1=2.231021269452984\n",
            "[LightGBM] [Warning] lambda_l2 is set=2.312366881039064, reg_lambda=0.0 will be ignored. Current value: lambda_l2=2.312366881039064\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "'verbose' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "[LightGBM] [Warning] lambda_l1 is set=2.231021269452984, reg_alpha=0.0 will be ignored. Current value: lambda_l1=2.231021269452984\n",
            "[LightGBM] [Warning] lambda_l2 is set=2.312366881039064, reg_lambda=0.0 will be ignored. Current value: lambda_l2=2.312366881039064\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "'verbose' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "[LightGBM] [Warning] lambda_l1 is set=2.231021269452984, reg_alpha=0.0 will be ignored. Current value: lambda_l1=2.231021269452984\n",
            "[LightGBM] [Warning] lambda_l2 is set=2.312366881039064, reg_lambda=0.0 will be ignored. Current value: lambda_l2=2.312366881039064\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "'verbose' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "[LightGBM] [Warning] lambda_l1 is set=2.231021269452984, reg_alpha=0.0 will be ignored. Current value: lambda_l1=2.231021269452984\n",
            "[LightGBM] [Warning] lambda_l2 is set=2.312366881039064, reg_lambda=0.0 will be ignored. Current value: lambda_l2=2.312366881039064\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "'verbose' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "[LightGBM] [Warning] lambda_l1 is set=2.231021269452984, reg_alpha=0.0 will be ignored. Current value: lambda_l1=2.231021269452984\n",
            "[LightGBM] [Warning] lambda_l2 is set=2.312366881039064, reg_lambda=0.0 will be ignored. Current value: lambda_l2=2.312366881039064\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "'verbose' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "[LightGBM] [Warning] lambda_l1 is set=2.231021269452984, reg_alpha=0.0 will be ignored. Current value: lambda_l1=2.231021269452984\n",
            "[LightGBM] [Warning] lambda_l2 is set=2.312366881039064, reg_lambda=0.0 will be ignored. Current value: lambda_l2=2.312366881039064\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "'verbose' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "[LightGBM] [Warning] lambda_l1 is set=2.231021269452984, reg_alpha=0.0 will be ignored. Current value: lambda_l1=2.231021269452984\n",
            "[LightGBM] [Warning] lambda_l2 is set=2.312366881039064, reg_lambda=0.0 will be ignored. Current value: lambda_l2=2.312366881039064\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "'verbose' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "[LightGBM] [Warning] lambda_l1 is set=2.231021269452984, reg_alpha=0.0 will be ignored. Current value: lambda_l1=2.231021269452984\n",
            "[LightGBM] [Warning] lambda_l2 is set=2.312366881039064, reg_lambda=0.0 will be ignored. Current value: lambda_l2=2.312366881039064\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "'verbose' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "[LightGBM] [Warning] lambda_l1 is set=2.231021269452984, reg_alpha=0.0 will be ignored. Current value: lambda_l1=2.231021269452984\n",
            "[LightGBM] [Warning] lambda_l2 is set=2.312366881039064, reg_lambda=0.0 will be ignored. Current value: lambda_l2=2.312366881039064\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "\u001b[32m[I 2023-04-17 03:11:03,448]\u001b[0m Trial 14 finished with value: 29019.139582393524 and parameters: {'n_estimators': 813, 'num_leaves': 54, 'max_depth': 5, 'learning_rate': 0.05056947018819775, 'colsample_bytree': 0.6638984161614776, 'subsample': 0.7020297779506152, 'lambda_l1': 2.231021269452984, 'lambda_l2': 2.312366881039064, 'min_child_weight': 49.349466191045245}. Best is trial 5 with value: 28068.90609651451.\u001b[0m\n",
            "suggest_loguniform has been deprecated in v3.0.0. This feature will be removed in v6.0.0. See https://github.com/optuna/optuna/releases/tag/v3.0.0. Use :func:`~optuna.trial.Trial.suggest_float` instead.\n",
            "The least populated class in y has only 1 members, which is less than n_splits=10.\n",
            "'verbose' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "[LightGBM] [Warning] lambda_l1 is set=4.118386035927985, reg_alpha=0.0 will be ignored. Current value: lambda_l1=4.118386035927985\n",
            "[LightGBM] [Warning] lambda_l2 is set=1.654386655831167, reg_lambda=0.0 will be ignored. Current value: lambda_l2=1.654386655831167\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "'verbose' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "[LightGBM] [Warning] lambda_l1 is set=4.118386035927985, reg_alpha=0.0 will be ignored. Current value: lambda_l1=4.118386035927985\n",
            "[LightGBM] [Warning] lambda_l2 is set=1.654386655831167, reg_lambda=0.0 will be ignored. Current value: lambda_l2=1.654386655831167\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "'verbose' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "[LightGBM] [Warning] lambda_l1 is set=4.118386035927985, reg_alpha=0.0 will be ignored. Current value: lambda_l1=4.118386035927985\n",
            "[LightGBM] [Warning] lambda_l2 is set=1.654386655831167, reg_lambda=0.0 will be ignored. Current value: lambda_l2=1.654386655831167\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "'verbose' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "[LightGBM] [Warning] lambda_l1 is set=4.118386035927985, reg_alpha=0.0 will be ignored. Current value: lambda_l1=4.118386035927985\n",
            "[LightGBM] [Warning] lambda_l2 is set=1.654386655831167, reg_lambda=0.0 will be ignored. Current value: lambda_l2=1.654386655831167\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "'verbose' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "[LightGBM] [Warning] lambda_l1 is set=4.118386035927985, reg_alpha=0.0 will be ignored. Current value: lambda_l1=4.118386035927985\n",
            "[LightGBM] [Warning] lambda_l2 is set=1.654386655831167, reg_lambda=0.0 will be ignored. Current value: lambda_l2=1.654386655831167\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "'verbose' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "[LightGBM] [Warning] lambda_l1 is set=4.118386035927985, reg_alpha=0.0 will be ignored. Current value: lambda_l1=4.118386035927985\n",
            "[LightGBM] [Warning] lambda_l2 is set=1.654386655831167, reg_lambda=0.0 will be ignored. Current value: lambda_l2=1.654386655831167\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "'verbose' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "[LightGBM] [Warning] lambda_l1 is set=4.118386035927985, reg_alpha=0.0 will be ignored. Current value: lambda_l1=4.118386035927985\n",
            "[LightGBM] [Warning] lambda_l2 is set=1.654386655831167, reg_lambda=0.0 will be ignored. Current value: lambda_l2=1.654386655831167\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "'verbose' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "[LightGBM] [Warning] lambda_l1 is set=4.118386035927985, reg_alpha=0.0 will be ignored. Current value: lambda_l1=4.118386035927985\n",
            "[LightGBM] [Warning] lambda_l2 is set=1.654386655831167, reg_lambda=0.0 will be ignored. Current value: lambda_l2=1.654386655831167\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "'verbose' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "[LightGBM] [Warning] lambda_l1 is set=4.118386035927985, reg_alpha=0.0 will be ignored. Current value: lambda_l1=4.118386035927985\n",
            "[LightGBM] [Warning] lambda_l2 is set=1.654386655831167, reg_lambda=0.0 will be ignored. Current value: lambda_l2=1.654386655831167\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "'verbose' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "[LightGBM] [Warning] lambda_l1 is set=4.118386035927985, reg_alpha=0.0 will be ignored. Current value: lambda_l1=4.118386035927985\n",
            "[LightGBM] [Warning] lambda_l2 is set=1.654386655831167, reg_lambda=0.0 will be ignored. Current value: lambda_l2=1.654386655831167\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "\u001b[32m[I 2023-04-17 03:11:08,623]\u001b[0m Trial 15 finished with value: 28307.266543201258 and parameters: {'n_estimators': 470, 'num_leaves': 33, 'max_depth': 19, 'learning_rate': 0.016790909981755437, 'colsample_bytree': 0.6351557351884306, 'subsample': 0.7509712601633526, 'lambda_l1': 4.118386035927985, 'lambda_l2': 1.654386655831167, 'min_child_weight': 5.9429996329926364}. Best is trial 5 with value: 28068.90609651451.\u001b[0m\n",
            "suggest_loguniform has been deprecated in v3.0.0. This feature will be removed in v6.0.0. See https://github.com/optuna/optuna/releases/tag/v3.0.0. Use :func:`~optuna.trial.Trial.suggest_float` instead.\n",
            "The least populated class in y has only 1 members, which is less than n_splits=10.\n",
            "'verbose' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "[LightGBM] [Warning] lambda_l1 is set=2.3458971224435423, reg_alpha=0.0 will be ignored. Current value: lambda_l1=2.3458971224435423\n",
            "[LightGBM] [Warning] lambda_l2 is set=2.4594824722404107, reg_lambda=0.0 will be ignored. Current value: lambda_l2=2.4594824722404107\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "'verbose' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "[LightGBM] [Warning] lambda_l1 is set=2.3458971224435423, reg_alpha=0.0 will be ignored. Current value: lambda_l1=2.3458971224435423\n",
            "[LightGBM] [Warning] lambda_l2 is set=2.4594824722404107, reg_lambda=0.0 will be ignored. Current value: lambda_l2=2.4594824722404107\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "'verbose' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "[LightGBM] [Warning] lambda_l1 is set=2.3458971224435423, reg_alpha=0.0 will be ignored. Current value: lambda_l1=2.3458971224435423\n",
            "[LightGBM] [Warning] lambda_l2 is set=2.4594824722404107, reg_lambda=0.0 will be ignored. Current value: lambda_l2=2.4594824722404107\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "'verbose' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "[LightGBM] [Warning] lambda_l1 is set=2.3458971224435423, reg_alpha=0.0 will be ignored. Current value: lambda_l1=2.3458971224435423\n",
            "[LightGBM] [Warning] lambda_l2 is set=2.4594824722404107, reg_lambda=0.0 will be ignored. Current value: lambda_l2=2.4594824722404107\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "'verbose' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "[LightGBM] [Warning] lambda_l1 is set=2.3458971224435423, reg_alpha=0.0 will be ignored. Current value: lambda_l1=2.3458971224435423\n",
            "[LightGBM] [Warning] lambda_l2 is set=2.4594824722404107, reg_lambda=0.0 will be ignored. Current value: lambda_l2=2.4594824722404107\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "'verbose' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "[LightGBM] [Warning] lambda_l1 is set=2.3458971224435423, reg_alpha=0.0 will be ignored. Current value: lambda_l1=2.3458971224435423\n",
            "[LightGBM] [Warning] lambda_l2 is set=2.4594824722404107, reg_lambda=0.0 will be ignored. Current value: lambda_l2=2.4594824722404107\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "'verbose' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "[LightGBM] [Warning] lambda_l1 is set=2.3458971224435423, reg_alpha=0.0 will be ignored. Current value: lambda_l1=2.3458971224435423\n",
            "[LightGBM] [Warning] lambda_l2 is set=2.4594824722404107, reg_lambda=0.0 will be ignored. Current value: lambda_l2=2.4594824722404107\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "'verbose' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "[LightGBM] [Warning] lambda_l1 is set=2.3458971224435423, reg_alpha=0.0 will be ignored. Current value: lambda_l1=2.3458971224435423\n",
            "[LightGBM] [Warning] lambda_l2 is set=2.4594824722404107, reg_lambda=0.0 will be ignored. Current value: lambda_l2=2.4594824722404107\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "'verbose' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "[LightGBM] [Warning] lambda_l1 is set=2.3458971224435423, reg_alpha=0.0 will be ignored. Current value: lambda_l1=2.3458971224435423\n",
            "[LightGBM] [Warning] lambda_l2 is set=2.4594824722404107, reg_lambda=0.0 will be ignored. Current value: lambda_l2=2.4594824722404107\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "'verbose' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "[LightGBM] [Warning] lambda_l1 is set=2.3458971224435423, reg_alpha=0.0 will be ignored. Current value: lambda_l1=2.3458971224435423\n",
            "[LightGBM] [Warning] lambda_l2 is set=2.4594824722404107, reg_lambda=0.0 will be ignored. Current value: lambda_l2=2.4594824722404107\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "\u001b[32m[I 2023-04-17 03:11:12,637]\u001b[0m Trial 16 finished with value: 28637.72351383249 and parameters: {'n_estimators': 612, 'num_leaves': 47, 'max_depth': 11, 'learning_rate': 0.03442059630115393, 'colsample_bytree': 0.6873894162533647, 'subsample': 0.7702098818893298, 'lambda_l1': 2.3458971224435423, 'lambda_l2': 2.4594824722404107, 'min_child_weight': 22.75371689355349}. Best is trial 5 with value: 28068.90609651451.\u001b[0m\n",
            "suggest_loguniform has been deprecated in v3.0.0. This feature will be removed in v6.0.0. See https://github.com/optuna/optuna/releases/tag/v3.0.0. Use :func:`~optuna.trial.Trial.suggest_float` instead.\n",
            "The least populated class in y has only 1 members, which is less than n_splits=10.\n",
            "'verbose' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "[LightGBM] [Warning] lambda_l1 is set=4.712815578969268, reg_alpha=0.0 will be ignored. Current value: lambda_l1=4.712815578969268\n",
            "[LightGBM] [Warning] lambda_l2 is set=1.7427073600749474, reg_lambda=0.0 will be ignored. Current value: lambda_l2=1.7427073600749474\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "'verbose' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "[LightGBM] [Warning] lambda_l1 is set=4.712815578969268, reg_alpha=0.0 will be ignored. Current value: lambda_l1=4.712815578969268\n",
            "[LightGBM] [Warning] lambda_l2 is set=1.7427073600749474, reg_lambda=0.0 will be ignored. Current value: lambda_l2=1.7427073600749474\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "'verbose' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "[LightGBM] [Warning] lambda_l1 is set=4.712815578969268, reg_alpha=0.0 will be ignored. Current value: lambda_l1=4.712815578969268\n",
            "[LightGBM] [Warning] lambda_l2 is set=1.7427073600749474, reg_lambda=0.0 will be ignored. Current value: lambda_l2=1.7427073600749474\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "'verbose' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "[LightGBM] [Warning] lambda_l1 is set=4.712815578969268, reg_alpha=0.0 will be ignored. Current value: lambda_l1=4.712815578969268\n",
            "[LightGBM] [Warning] lambda_l2 is set=1.7427073600749474, reg_lambda=0.0 will be ignored. Current value: lambda_l2=1.7427073600749474\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "'verbose' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "[LightGBM] [Warning] lambda_l1 is set=4.712815578969268, reg_alpha=0.0 will be ignored. Current value: lambda_l1=4.712815578969268\n",
            "[LightGBM] [Warning] lambda_l2 is set=1.7427073600749474, reg_lambda=0.0 will be ignored. Current value: lambda_l2=1.7427073600749474\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "'verbose' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "[LightGBM] [Warning] lambda_l1 is set=4.712815578969268, reg_alpha=0.0 will be ignored. Current value: lambda_l1=4.712815578969268\n",
            "[LightGBM] [Warning] lambda_l2 is set=1.7427073600749474, reg_lambda=0.0 will be ignored. Current value: lambda_l2=1.7427073600749474\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "'verbose' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "[LightGBM] [Warning] lambda_l1 is set=4.712815578969268, reg_alpha=0.0 will be ignored. Current value: lambda_l1=4.712815578969268\n",
            "[LightGBM] [Warning] lambda_l2 is set=1.7427073600749474, reg_lambda=0.0 will be ignored. Current value: lambda_l2=1.7427073600749474\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "'verbose' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "[LightGBM] [Warning] lambda_l1 is set=4.712815578969268, reg_alpha=0.0 will be ignored. Current value: lambda_l1=4.712815578969268\n",
            "[LightGBM] [Warning] lambda_l2 is set=1.7427073600749474, reg_lambda=0.0 will be ignored. Current value: lambda_l2=1.7427073600749474\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "'verbose' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "[LightGBM] [Warning] lambda_l1 is set=4.712815578969268, reg_alpha=0.0 will be ignored. Current value: lambda_l1=4.712815578969268\n",
            "[LightGBM] [Warning] lambda_l2 is set=1.7427073600749474, reg_lambda=0.0 will be ignored. Current value: lambda_l2=1.7427073600749474\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "'verbose' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "[LightGBM] [Warning] lambda_l1 is set=4.712815578969268, reg_alpha=0.0 will be ignored. Current value: lambda_l1=4.712815578969268\n",
            "[LightGBM] [Warning] lambda_l2 is set=1.7427073600749474, reg_lambda=0.0 will be ignored. Current value: lambda_l2=1.7427073600749474\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "\u001b[32m[I 2023-04-17 03:11:15,404]\u001b[0m Trial 17 finished with value: 27986.27918107008 and parameters: {'n_estimators': 378, 'num_leaves': 31, 'max_depth': 35, 'learning_rate': 0.01713200441531346, 'colsample_bytree': 0.5167187468778591, 'subsample': 0.7380799250244564, 'lambda_l1': 4.712815578969268, 'lambda_l2': 1.7427073600749474, 'min_child_weight': 9.962946763677316}. Best is trial 17 with value: 27986.27918107008.\u001b[0m\n",
            "suggest_loguniform has been deprecated in v3.0.0. This feature will be removed in v6.0.0. See https://github.com/optuna/optuna/releases/tag/v3.0.0. Use :func:`~optuna.trial.Trial.suggest_float` instead.\n",
            "The least populated class in y has only 1 members, which is less than n_splits=10.\n",
            "'verbose' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "[LightGBM] [Warning] lambda_l1 is set=4.953174170360805, reg_alpha=0.0 will be ignored. Current value: lambda_l1=4.953174170360805\n",
            "[LightGBM] [Warning] lambda_l2 is set=1.6863207229187398, reg_lambda=0.0 will be ignored. Current value: lambda_l2=1.6863207229187398\n",
            "[LightGBM] [Warning] lambda_l1 is set=4.953174170360805, reg_alpha=0.0 will be ignored. Current value: lambda_l1=4.953174170360805\n",
            "[LightGBM] [Warning] lambda_l2 is set=1.6863207229187398, reg_lambda=0.0 will be ignored. Current value: lambda_l2=1.6863207229187398\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "'verbose' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.\n",
            "'verbose' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "[LightGBM] [Warning] lambda_l1 is set=4.953174170360805, reg_alpha=0.0 will be ignored. Current value: lambda_l1=4.953174170360805\n",
            "[LightGBM] [Warning] lambda_l2 is set=1.6863207229187398, reg_lambda=0.0 will be ignored. Current value: lambda_l2=1.6863207229187398\n",
            "[LightGBM] [Warning] lambda_l1 is set=4.953174170360805, reg_alpha=0.0 will be ignored. Current value: lambda_l1=4.953174170360805\n",
            "[LightGBM] [Warning] lambda_l2 is set=1.6863207229187398, reg_lambda=0.0 will be ignored. Current value: lambda_l2=1.6863207229187398\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "'verbose' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.\n",
            "'verbose' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "[LightGBM] [Warning] lambda_l1 is set=4.953174170360805, reg_alpha=0.0 will be ignored. Current value: lambda_l1=4.953174170360805\n",
            "[LightGBM] [Warning] lambda_l2 is set=1.6863207229187398, reg_lambda=0.0 will be ignored. Current value: lambda_l2=1.6863207229187398\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "'verbose' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "[LightGBM] [Warning] lambda_l1 is set=4.953174170360805, reg_alpha=0.0 will be ignored. Current value: lambda_l1=4.953174170360805\n",
            "[LightGBM] [Warning] lambda_l2 is set=1.6863207229187398, reg_lambda=0.0 will be ignored. Current value: lambda_l2=1.6863207229187398\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "'verbose' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "[LightGBM] [Warning] lambda_l1 is set=4.953174170360805, reg_alpha=0.0 will be ignored. Current value: lambda_l1=4.953174170360805\n",
            "[LightGBM] [Warning] lambda_l2 is set=1.6863207229187398, reg_lambda=0.0 will be ignored. Current value: lambda_l2=1.6863207229187398\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "'verbose' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "[LightGBM] [Warning] lambda_l1 is set=4.953174170360805, reg_alpha=0.0 will be ignored. Current value: lambda_l1=4.953174170360805\n",
            "[LightGBM] [Warning] lambda_l2 is set=1.6863207229187398, reg_lambda=0.0 will be ignored. Current value: lambda_l2=1.6863207229187398\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "'verbose' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "[LightGBM] [Warning] lambda_l1 is set=4.953174170360805, reg_alpha=0.0 will be ignored. Current value: lambda_l1=4.953174170360805\n",
            "[LightGBM] [Warning] lambda_l2 is set=1.6863207229187398, reg_lambda=0.0 will be ignored. Current value: lambda_l2=1.6863207229187398\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "'verbose' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "[LightGBM] [Warning] lambda_l1 is set=4.953174170360805, reg_alpha=0.0 will be ignored. Current value: lambda_l1=4.953174170360805\n",
            "[LightGBM] [Warning] lambda_l2 is set=1.6863207229187398, reg_lambda=0.0 will be ignored. Current value: lambda_l2=1.6863207229187398\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "\u001b[32m[I 2023-04-17 03:11:17,874]\u001b[0m Trial 18 finished with value: 28029.107852697623 and parameters: {'n_estimators': 261, 'num_leaves': 30, 'max_depth': 35, 'learning_rate': 0.024985680227674625, 'colsample_bytree': 0.5053850049033789, 'subsample': 0.721872094996699, 'lambda_l1': 4.953174170360805, 'lambda_l2': 1.6863207229187398, 'min_child_weight': 6.945431871307452}. Best is trial 17 with value: 27986.27918107008.\u001b[0m\n",
            "suggest_loguniform has been deprecated in v3.0.0. This feature will be removed in v6.0.0. See https://github.com/optuna/optuna/releases/tag/v3.0.0. Use :func:`~optuna.trial.Trial.suggest_float` instead.\n",
            "The least populated class in y has only 1 members, which is less than n_splits=10.\n",
            "'verbose' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "[LightGBM] [Warning] lambda_l1 is set=4.98716325650249, reg_alpha=0.0 will be ignored. Current value: lambda_l1=4.98716325650249\n",
            "[LightGBM] [Warning] lambda_l2 is set=1.5837617500205454, reg_lambda=0.0 will be ignored. Current value: lambda_l2=1.5837617500205454\n",
            "[LightGBM] [Warning] lambda_l1 is set=4.98716325650249, reg_alpha=0.0 will be ignored. Current value: lambda_l1=4.98716325650249\n",
            "[LightGBM] [Warning] lambda_l2 is set=1.5837617500205454, reg_lambda=0.0 will be ignored. Current value: lambda_l2=1.5837617500205454\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "'verbose' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.\n",
            "'verbose' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "[LightGBM] [Warning] lambda_l1 is set=4.98716325650249, reg_alpha=0.0 will be ignored. Current value: lambda_l1=4.98716325650249\n",
            "[LightGBM] [Warning] lambda_l2 is set=1.5837617500205454, reg_lambda=0.0 will be ignored. Current value: lambda_l2=1.5837617500205454\n",
            "[LightGBM] [Warning] lambda_l1 is set=4.98716325650249, reg_alpha=0.0 will be ignored. Current value: lambda_l1=4.98716325650249\n",
            "[LightGBM] [Warning] lambda_l2 is set=1.5837617500205454, reg_lambda=0.0 will be ignored. Current value: lambda_l2=1.5837617500205454\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "'verbose' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.\n",
            "'verbose' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "[LightGBM] [Warning] lambda_l1 is set=4.98716325650249, reg_alpha=0.0 will be ignored. Current value: lambda_l1=4.98716325650249\n",
            "[LightGBM] [Warning] lambda_l2 is set=1.5837617500205454, reg_lambda=0.0 will be ignored. Current value: lambda_l2=1.5837617500205454\n",
            "[LightGBM] [Warning] lambda_l1 is set=4.98716325650249, reg_alpha=0.0 will be ignored. Current value: lambda_l1=4.98716325650249\n",
            "[LightGBM] [Warning] lambda_l2 is set=1.5837617500205454, reg_lambda=0.0 will be ignored. Current value: lambda_l2=1.5837617500205454\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "'verbose' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.\n",
            "'verbose' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "[LightGBM] [Warning] lambda_l1 is set=4.98716325650249, reg_alpha=0.0 will be ignored. Current value: lambda_l1=4.98716325650249\n",
            "[LightGBM] [Warning] lambda_l2 is set=1.5837617500205454, reg_lambda=0.0 will be ignored. Current value: lambda_l2=1.5837617500205454\n",
            "[LightGBM] [Warning] lambda_l1 is set=4.98716325650249, reg_alpha=0.0 will be ignored. Current value: lambda_l1=4.98716325650249\n",
            "[LightGBM] [Warning] lambda_l2 is set=1.5837617500205454, reg_lambda=0.0 will be ignored. Current value: lambda_l2=1.5837617500205454\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "'verbose' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.\n",
            "'verbose' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.\n",
            "'verbose' argument is deprecated and will be removed in a future release of LightGBM. Pass 'log_evaluation()' callback via 'callbacks' argument instead.\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "[LightGBM] [Warning] lambda_l1 is set=4.98716325650249, reg_alpha=0.0 will be ignored. Current value: lambda_l1=4.98716325650249\n",
            "[LightGBM] [Warning] lambda_l2 is set=1.5837617500205454, reg_lambda=0.0 will be ignored. Current value: lambda_l2=1.5837617500205454\n",
            "[LightGBM] [Warning] lambda_l1 is set=4.98716325650249, reg_alpha=0.0 will be ignored. Current value: lambda_l1=4.98716325650249\n",
            "[LightGBM] [Warning] lambda_l2 is set=1.5837617500205454, reg_lambda=0.0 will be ignored. Current value: lambda_l2=1.5837617500205454\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "\u001b[32m[I 2023-04-17 03:11:19,785]\u001b[0m Trial 19 finished with value: 28363.741996481665 and parameters: {'n_estimators': 175, 'num_leaves': 30, 'max_depth': 37, 'learning_rate': 0.02380483862972045, 'colsample_bytree': 0.503104600348291, 'subsample': 0.7205596119490073, 'lambda_l1': 4.98716325650249, 'lambda_l2': 1.5837617500205454, 'min_child_weight': 2.1304860520547564}. Best is trial 17 with value: 27986.27918107008.\u001b[0m\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "[LightGBM] [Warning] lambda_l1 is set=4.712815578969268, reg_alpha=0.0 will be ignored. Current value: lambda_l1=4.712815578969268\n",
            "[LightGBM] [Warning] lambda_l2 is set=1.7427073600749474, reg_lambda=0.0 will be ignored. Current value: lambda_l2=1.7427073600749474\n"
          ]
        },
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "LGBMRegressor(colsample_bytree=0.5167187468778591, lambda_l1=4.712815578969268,\n",
              "              lambda_l2=1.7427073600749474, learning_rate=0.01713200441531346,\n",
              "              max_depth=35, min_child_weight=9.962946763677316,\n",
              "              n_estimators=378, subsample=0.7380799250244564)"
            ],
            "text/html": [
              "<style>#sk-container-id-3 {color: black;background-color: white;}#sk-container-id-3 pre{padding: 0;}#sk-container-id-3 div.sk-toggleable {background-color: white;}#sk-container-id-3 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-3 label.sk-toggleable__label-arrow:before {content: \"▸\";float: left;margin-right: 0.25em;color: #696969;}#sk-container-id-3 label.sk-toggleable__label-arrow:hover:before {color: black;}#sk-container-id-3 div.sk-estimator:hover label.sk-toggleable__label-arrow:before {color: black;}#sk-container-id-3 div.sk-toggleable__content {max-height: 0;max-width: 0;overflow: hidden;text-align: left;background-color: #f0f8ff;}#sk-container-id-3 div.sk-toggleable__content pre {margin: 0.2em;color: black;border-radius: 0.25em;background-color: #f0f8ff;}#sk-container-id-3 input.sk-toggleable__control:checked~div.sk-toggleable__content {max-height: 200px;max-width: 100%;overflow: auto;}#sk-container-id-3 input.sk-toggleable__control:checked~label.sk-toggleable__label-arrow:before {content: \"▾\";}#sk-container-id-3 div.sk-estimator input.sk-toggleable__control:checked~label.sk-toggleable__label {background-color: #d4ebff;}#sk-container-id-3 div.sk-label input.sk-toggleable__control:checked~label.sk-toggleable__label {background-color: #d4ebff;}#sk-container-id-3 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-3 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-3 div.sk-estimator:hover {background-color: #d4ebff;}#sk-container-id-3 div.sk-parallel-item::after {content: \"\";width: 100%;border-bottom: 1px solid gray;flex-grow: 1;}#sk-container-id-3 div.sk-label:hover label.sk-toggleable__label {background-color: #d4ebff;}#sk-container-id-3 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-3 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-3 div.sk-item {position: relative;z-index: 1;}#sk-container-id-3 div.sk-parallel {display: flex;align-items: stretch;justify-content: center;background-color: white;position: relative;}#sk-container-id-3 div.sk-item::before, #sk-container-id-3 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-3 div.sk-parallel-item {display: flex;flex-direction: column;z-index: 1;position: relative;background-color: white;}#sk-container-id-3 div.sk-parallel-item:first-child::after {align-self: flex-end;width: 50%;}#sk-container-id-3 div.sk-parallel-item:last-child::after {align-self: flex-start;width: 50%;}#sk-container-id-3 div.sk-parallel-item:only-child::after {width: 0;}#sk-container-id-3 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-3 div.sk-label label {font-family: monospace;font-weight: bold;display: inline-block;line-height: 1.2em;}#sk-container-id-3 div.sk-label-container {text-align: center;}#sk-container-id-3 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-3 div.sk-text-repr-fallback {display: none;}</style><div id=\"sk-container-id-3\" class=\"sk-top-container\"><div class=\"sk-text-repr-fallback\"><pre>LGBMRegressor(colsample_bytree=0.5167187468778591, lambda_l1=4.712815578969268,\n",
              "              lambda_l2=1.7427073600749474, learning_rate=0.01713200441531346,\n",
              "              max_depth=35, min_child_weight=9.962946763677316,\n",
              "              n_estimators=378, subsample=0.7380799250244564)</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-3\" type=\"checkbox\" checked><label for=\"sk-estimator-id-3\" class=\"sk-toggleable__label sk-toggleable__label-arrow\">LGBMRegressor</label><div class=\"sk-toggleable__content\"><pre>LGBMRegressor(colsample_bytree=0.5167187468778591, lambda_l1=4.712815578969268,\n",
              "              lambda_l2=1.7427073600749474, learning_rate=0.01713200441531346,\n",
              "              max_depth=35, min_child_weight=9.962946763677316,\n",
              "              n_estimators=378, subsample=0.7380799250244564)</pre></div></div></div></div></div>"
            ]
          },
          "metadata": {},
          "execution_count": 92
        }
      ],
      "source": [
        "# Create Optuna study\n",
        "study = optuna.create_study(direction='minimize')\n",
        "\n",
        "# Optimize hyperparameters\n",
        "study.optimize(objective, n_trials=20)\n",
        "\n",
        "# Get the best hyperparameters\n",
        "best_params = study.best_params\n",
        "\n",
        "# Train the final model with the best hyperparameters\n",
        "best_model = lgb.LGBMRegressor(**best_params)\n",
        "best_model.fit(X, y)"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 93,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "Ft7Gkq0TPXtf",
        "outputId": "78756b53-0fc0-4110-d811-1f1d7d044f10"
      },
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "{'n_estimators': 378, 'num_leaves': 31, 'max_depth': 35, 'learning_rate': 0.01713200441531346, 'colsample_bytree': 0.5167187468778591, 'subsample': 0.7380799250244564, 'lambda_l1': 4.712815578969268, 'lambda_l2': 1.7427073600749474, 'min_child_weight': 9.962946763677316}\n",
            "27986.27918107008\n"
          ]
        }
      ],
      "source": [
        "print(study.best_params) \n",
        "print(study.best_value)"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 94,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 127
        },
        "id": "Af-0N65er2uO",
        "outputId": "9bcf0035-f05b-4fdf-f1e2-0023796a0ff2"
      },
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "LGBMRegressor(colsample_bytree=0.5167187468778591, lambda_l1=4.712815578969268,\n",
              "              lambda_l2=1.7427073600749474, learning_rate=0.01713200441531346,\n",
              "              max_depth=35, min_child_weight=9.962946763677316,\n",
              "              n_estimators=378, subsample=0.7380799250244564)"
            ],
            "text/html": [
              "<style>#sk-container-id-4 {color: black;background-color: white;}#sk-container-id-4 pre{padding: 0;}#sk-container-id-4 div.sk-toggleable {background-color: white;}#sk-container-id-4 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-4 label.sk-toggleable__label-arrow:before {content: \"▸\";float: left;margin-right: 0.25em;color: #696969;}#sk-container-id-4 label.sk-toggleable__label-arrow:hover:before {color: black;}#sk-container-id-4 div.sk-estimator:hover label.sk-toggleable__label-arrow:before {color: black;}#sk-container-id-4 div.sk-toggleable__content {max-height: 0;max-width: 0;overflow: hidden;text-align: left;background-color: #f0f8ff;}#sk-container-id-4 div.sk-toggleable__content pre {margin: 0.2em;color: black;border-radius: 0.25em;background-color: #f0f8ff;}#sk-container-id-4 input.sk-toggleable__control:checked~div.sk-toggleable__content {max-height: 200px;max-width: 100%;overflow: auto;}#sk-container-id-4 input.sk-toggleable__control:checked~label.sk-toggleable__label-arrow:before {content: \"▾\";}#sk-container-id-4 div.sk-estimator input.sk-toggleable__control:checked~label.sk-toggleable__label {background-color: #d4ebff;}#sk-container-id-4 div.sk-label input.sk-toggleable__control:checked~label.sk-toggleable__label {background-color: #d4ebff;}#sk-container-id-4 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-4 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-4 div.sk-estimator:hover {background-color: #d4ebff;}#sk-container-id-4 div.sk-parallel-item::after {content: \"\";width: 100%;border-bottom: 1px solid gray;flex-grow: 1;}#sk-container-id-4 div.sk-label:hover label.sk-toggleable__label {background-color: #d4ebff;}#sk-container-id-4 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-4 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-4 div.sk-item {position: relative;z-index: 1;}#sk-container-id-4 div.sk-parallel {display: flex;align-items: stretch;justify-content: center;background-color: white;position: relative;}#sk-container-id-4 div.sk-item::before, #sk-container-id-4 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-4 div.sk-parallel-item {display: flex;flex-direction: column;z-index: 1;position: relative;background-color: white;}#sk-container-id-4 div.sk-parallel-item:first-child::after {align-self: flex-end;width: 50%;}#sk-container-id-4 div.sk-parallel-item:last-child::after {align-self: flex-start;width: 50%;}#sk-container-id-4 div.sk-parallel-item:only-child::after {width: 0;}#sk-container-id-4 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-4 div.sk-label label {font-family: monospace;font-weight: bold;display: inline-block;line-height: 1.2em;}#sk-container-id-4 div.sk-label-container {text-align: center;}#sk-container-id-4 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-4 div.sk-text-repr-fallback {display: none;}</style><div id=\"sk-container-id-4\" class=\"sk-top-container\"><div class=\"sk-text-repr-fallback\"><pre>LGBMRegressor(colsample_bytree=0.5167187468778591, lambda_l1=4.712815578969268,\n",
              "              lambda_l2=1.7427073600749474, learning_rate=0.01713200441531346,\n",
              "              max_depth=35, min_child_weight=9.962946763677316,\n",
              "              n_estimators=378, subsample=0.7380799250244564)</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-4\" type=\"checkbox\" checked><label for=\"sk-estimator-id-4\" class=\"sk-toggleable__label sk-toggleable__label-arrow\">LGBMRegressor</label><div class=\"sk-toggleable__content\"><pre>LGBMRegressor(colsample_bytree=0.5167187468778591, lambda_l1=4.712815578969268,\n",
              "              lambda_l2=1.7427073600749474, learning_rate=0.01713200441531346,\n",
              "              max_depth=35, min_child_weight=9.962946763677316,\n",
              "              n_estimators=378, subsample=0.7380799250244564)</pre></div></div></div></div></div>"
            ]
          },
          "metadata": {},
          "execution_count": 94
        }
      ],
      "source": [
        "best_model = lgb.LGBMRegressor(**best_params)\n",
        "best_model.fit(X, y)"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 95,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 975
        },
        "id": "o7jBUgFE4AZw",
        "outputId": "cf33aeb0-cd83-49ea-94d0-bdc1c0a33eec"
      },
      "outputs": [
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "No data for colormapping provided via 'c'. Parameters 'vmin', 'vmax' will be ignored\n"
          ]
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 800x950 with 2 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {}
        }
      ],
      "source": [
        "shap_values = shap.TreeExplainer(best_model).shap_values(X)\n",
        "shap.summary_plot(shap_values, X)"
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "shap_interaction_values = shap.TreeExplainer(best_model).shap_interaction_values(X.iloc[:,:])\n",
        "shap.summary_plot(shap_interaction_values, X.iloc[:,:])"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 715
        },
        "id": "2Q9E5o6oMEwi",
        "outputId": "f8e25f2b-c3f6-46e3-b860-0ebe250a7558"
      },
      "execution_count": 97,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "No data for colormapping provided via 'c'. Parameters 'vmin', 'vmax' will be ignored\n"
          ]
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 1150x660 with 7 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "predictLGBM = best_model.predict(df_test)\n",
        "submissionLGBM = pd.DataFrame({'SalePrice':predictLGBM})\n",
        "# display(submissionLGBM.head())\n",
        "print(submissionLGBM.iloc[0].values)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 225
        },
        "id": "hfmrYR9_NNh3",
        "outputId": "33d356e9-c090-46dc-cd45-bbea660721df"
      },
      "execution_count": 116,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "       SalePrice\n",
              "0  127368.782722\n",
              "1  156700.928621\n",
              "2  180422.435175\n",
              "3  183877.895502\n",
              "4  186021.015175"
            ],
            "text/html": [
              "\n",
              "  <div id=\"df-865e82a0-1072-4324-898f-dbf3563fdd96\">\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>SalePrice</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>127368.782722</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>156700.928621</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>180422.435175</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>183877.895502</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>186021.015175</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>\n",
              "      <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-865e82a0-1072-4324-898f-dbf3563fdd96')\"\n",
              "              title=\"Convert this dataframe to an interactive table.\"\n",
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              "  </svg>\n",
              "      </button>\n",
              "      \n",
              "  <style>\n",
              "    .colab-df-container {\n",
              "      display:flex;\n",
              "      flex-wrap:wrap;\n",
              "      gap: 12px;\n",
              "    }\n",
              "\n",
              "    .colab-df-convert {\n",
              "      background-color: #E8F0FE;\n",
              "      border: none;\n",
              "      border-radius: 50%;\n",
              "      cursor: pointer;\n",
              "      display: none;\n",
              "      fill: #1967D2;\n",
              "      height: 32px;\n",
              "      padding: 0 0 0 0;\n",
              "      width: 32px;\n",
              "    }\n",
              "\n",
              "    .colab-df-convert:hover {\n",
              "      background-color: #E2EBFA;\n",
              "      box-shadow: 0px 1px 2px rgba(60, 64, 67, 0.3), 0px 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
              "      fill: #174EA6;\n",
              "    }\n",
              "\n",
              "    [theme=dark] .colab-df-convert {\n",
              "      background-color: #3B4455;\n",
              "      fill: #D2E3FC;\n",
              "    }\n",
              "\n",
              "    [theme=dark] .colab-df-convert:hover {\n",
              "      background-color: #434B5C;\n",
              "      box-shadow: 0px 1px 3px 1px rgba(0, 0, 0, 0.15);\n",
              "      filter: drop-shadow(0px 1px 2px rgba(0, 0, 0, 0.3));\n",
              "      fill: #FFFFFF;\n",
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              "  </style>\n",
              "\n",
              "      <script>\n",
              "        const buttonEl =\n",
              "          document.querySelector('#df-865e82a0-1072-4324-898f-dbf3563fdd96 button.colab-df-convert');\n",
              "        buttonEl.style.display =\n",
              "          google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "\n",
              "        async function convertToInteractive(key) {\n",
              "          const element = document.querySelector('#df-865e82a0-1072-4324-898f-dbf3563fdd96');\n",
              "          const dataTable =\n",
              "            await google.colab.kernel.invokeFunction('convertToInteractive',\n",
              "                                                     [key], {});\n",
              "          if (!dataTable) return;\n",
              "\n",
              "          const docLinkHtml = 'Like what you see? Visit the ' +\n",
              "            '<a target=\"_blank\" href=https://colab.research.google.com/notebooks/data_table.ipynb>data table notebook</a>'\n",
              "            + ' to learn more about interactive tables.';\n",
              "          element.innerHTML = '';\n",
              "          dataTable['output_type'] = 'display_data';\n",
              "          await google.colab.output.renderOutput(dataTable, element);\n",
              "          const docLink = document.createElement('div');\n",
              "          docLink.innerHTML = docLinkHtml;\n",
              "          element.appendChild(docLink);\n",
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              "  </div>\n",
              "  "
            ]
          },
          "metadata": {}
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "[127368.78272224]\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [],
      "metadata": {
        "id": "I0GboD6hOgbG"
      },
      "execution_count": null,
      "outputs": []
    }
  ],
  "metadata": {
    "colab": {
      "provenance": []
    },
    "kernelspec": {
      "display_name": "Python 3",
      "name": "python3"
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    "language_info": {
      "name": "python"
    }
  },
  "nbformat": 4,
  "nbformat_minor": 0
}