{ "cells": [ { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [ "#try the stacking method in this link\n", "#https://www.kaggle.com/code/arthurtok/introduction-to-ensembling-stacking-in-python#Generating-our-Base-First-Level-Models" ] }, { "cell_type": "code", "execution_count": 1, "metadata": {}, "outputs": [], "source": [ "from wcds import *" ] }, { "cell_type": "code", "execution_count": 2, "metadata": {}, "outputs": [ { "data": { "text/html": [ "
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SexLengthDiameterHeightWhole weightWhole weight.1Whole weight.2Shell weightRings
id
0F0.5500.4300.1500.77150.32850.14650.240011
1F0.6300.4900.1451.13000.45800.27650.320011
2I0.1600.1100.0250.02100.00550.00300.00506
3M0.5950.4750.1500.91450.37550.20550.250010
4I0.5550.4250.1300.78200.36950.16000.19759
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" ], "text/plain": [ " Sex Length Diameter Height Whole weight Whole weight.1 \\\n", "id \n", "0 F 0.550 0.430 0.150 0.7715 0.3285 \n", "1 F 0.630 0.490 0.145 1.1300 0.4580 \n", "2 I 0.160 0.110 0.025 0.0210 0.0055 \n", "3 M 0.595 0.475 0.150 0.9145 0.3755 \n", "4 I 0.555 0.425 0.130 0.7820 0.3695 \n", "\n", " Whole weight.2 Shell weight Rings \n", "id \n", "0 0.1465 0.2400 11 \n", "1 0.2765 0.3200 11 \n", "2 0.0030 0.0050 6 \n", "3 0.2055 0.2500 10 \n", "4 0.1600 0.1975 9 " ] }, "execution_count": 2, "metadata": {}, "output_type": "execute_result" } ], "source": [ "df_train = pd.read_csv(r\"D:\\data science data\\abalone\\train.csv\", index_col='id')\n", "df_test = pd.read_csv(r\"D:\\data science data\\abalone\\test.csv\", index_col='id')\n", "df_train.head()" ] }, { "cell_type": "code", "execution_count": 3, "metadata": {}, "outputs": [ { "data": { "text/html": [ "
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SexLengthDiameterHeightWhole weightWhole weight.1Whole weight.2Shell weight
id
90615M0.6450.4750.1551.23800.61850.31250.3005
90616M0.5800.4600.1600.98300.47850.21950.2750
90617M0.5600.4200.1400.83950.35250.18450.2405
90618M0.5700.4900.1450.87400.35250.18650.2350
90619I0.4150.3250.1100.35800.15750.06700.1050
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" ], "text/plain": [ " Sex Length Diameter Height Whole weight Whole weight.1 \\\n", "id \n", "90615 M 0.645 0.475 0.155 1.2380 0.6185 \n", "90616 M 0.580 0.460 0.160 0.9830 0.4785 \n", "90617 M 0.560 0.420 0.140 0.8395 0.3525 \n", "90618 M 0.570 0.490 0.145 0.8740 0.3525 \n", "90619 I 0.415 0.325 0.110 0.3580 0.1575 \n", "\n", " Whole weight.2 Shell weight \n", "id \n", "90615 0.3125 0.3005 \n", "90616 0.2195 0.2750 \n", "90617 0.1845 0.2405 \n", "90618 0.1865 0.2350 \n", "90619 0.0670 0.1050 " ] }, "execution_count": 3, "metadata": {}, "output_type": "execute_result" } ], "source": [ "df_test.head()" ] }, { "cell_type": "code", "execution_count": 4, "metadata": {}, "outputs": [ { "data": { "text/html": [ "
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SexLengthDiameterHeightWhole weightShucked weightViscera weightShell weightRings
0M0.4550.3650.0950.51400.22450.10100.15015
1M0.3500.2650.0900.22550.09950.04850.0707
2F0.5300.4200.1350.67700.25650.14150.2109
3M0.4400.3650.1250.51600.21550.11400.15510
4I0.3300.2550.0800.20500.08950.03950.0557
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" ], "text/plain": [ " Sex Length Diameter Height Whole weight Shucked weight Viscera weight \\\n", "0 M 0.455 0.365 0.095 0.5140 0.2245 0.1010 \n", "1 M 0.350 0.265 0.090 0.2255 0.0995 0.0485 \n", "2 F 0.530 0.420 0.135 0.6770 0.2565 0.1415 \n", "3 M 0.440 0.365 0.125 0.5160 0.2155 0.1140 \n", "4 I 0.330 0.255 0.080 0.2050 0.0895 0.0395 \n", "\n", " Shell weight Rings \n", "0 0.150 15 \n", "1 0.070 7 \n", "2 0.210 9 \n", "3 0.155 10 \n", "4 0.055 7 " ] }, "execution_count": 4, "metadata": {}, "output_type": "execute_result" } ], "source": [ "df_original = pd.read_csv(r\"D:\\data science data\\abalone\\abalone.csv\")\n", "df_original.head()" ] }, { "cell_type": "code", "execution_count": 5, "metadata": {}, "outputs": [ { "data": { "text/plain": [ "(4177, 9)" ] }, "execution_count": 5, "metadata": {}, "output_type": "execute_result" } ], "source": [ "df_original.shape" ] }, { "cell_type": "code", "execution_count": 6, "metadata": {}, "outputs": [], "source": [ "#concat orginal and train\n", "df_train_merge = pd.concat([df_train, df_original.rename(columns={'Viscera weight':\"Whole weight.2\", 'Shucked weight':'Whole weight.1'})], ignore_index=True).drop_duplicates()\n" ] }, { "cell_type": "code", "execution_count": 7, "metadata": {}, "outputs": [ { "data": { "text/plain": [ "Index(['Sex', 'Length', 'Diameter', 'Height', 'Whole weight', 'Whole weight.1',\n", " 'Whole weight.2', 'Shell weight', 'Rings'],\n", " dtype='object')" ] }, "execution_count": 7, "metadata": {}, "output_type": "execute_result" } ], "source": [ "df_train_merge.columns" ] }, { "cell_type": "code", "execution_count": 32, "metadata": {}, "outputs": [], "source": [ "X_train = df_train_merge.drop(['Rings' ], axis =1)\n", "y_train = df_train_merge['Rings']\n" ] }, { "cell_type": "code", "execution_count": 9, "metadata": {}, "outputs": [], "source": [ "def add_feature (df, max_ratio, shell_volume_flag, meat_shell_flag, shell_surface_flag, proportional_weight_flag, dimension_ratio_flag ):\n", " df = df.copy()\n", " #shell volume flag\n", " if shell_volume_flag:\n", " df['Shell_Volume'] = df['Length'] * df['Diameter'] * df['Height']\n", "\n", " # Meat to shell ratio\n", " if meat_shell_flag:\n", " df['Meat_to_Shell_Ratio'] = df['Whole weight.1'] / df['Shell weight']\n", "\n", " # Shell surface area\n", " if shell_surface_flag:\n", " df['Shell_Surface_Area'] = 2 * ((df['Length'] * df['Diameter']) + (df['Length'] * df['Height']) + (df['Diameter'] * df['Height']))\n", "\n", " # Proportional weights\n", " if proportional_weight_flag:\n", " df['Whole_to_Shell_Ratio'] = df['Whole weight'] / df['Shell weight']\n", " df['Shucked_to_Whole_Ratio'] = df['Whole weight.1'] / df['Whole weight']\n", " df['Viscera_to_Whole_Ratio'] = df['Whole weight.2'] / df['Whole weight']\n", "\n", " # Dimension ratios\n", " if dimension_ratio_flag:\n", " df['Length_to_Diameter_Ratio'] = df['Length'] / df['Diameter']\n", " df['Length_to_Height_Ratio'] = df['Length'] / df['Height']\n", " df['Length_to_Height_Ratio'] = df['Length_to_Height_Ratio'].apply(lambda df: min(df, max_ratio))\n", "\n", " df['Diameter_to_Height_Ratio'] = df['Diameter'] / df['Height']\n", " df['Diameter_to_Height_Ratio'] = df['Diameter_to_Height_Ratio'].apply(lambda df: min(df, max_ratio))\n", "\n", " return df" ] }, { "cell_type": "code", "execution_count": 10, "metadata": {}, "outputs": [ { "data": { "text/html": [ "
Pipeline(steps=[('add feature',\n",
       "                 FunctionTransformer(func=<function add_feature at 0x0000023020B6C7C0>,\n",
       "                                     kw_args={'dimension_ratio_flag': 0,\n",
       "                                              'max_ratio': 1,\n",
       "                                              'meat_shell_flag': 0,\n",
       "                                              'proportional_weight_flag': 0,\n",
       "                                              'shell_surface_flag': 0,\n",
       "                                              'shell_volume_flag': 0})),\n",
       "                ('preprocess',\n",
       "                 FeatureUnion(transformer_list=[('pipeline-1',\n",
       "                                                 Pipeline(steps=[('excludecolumnselector',\n",
       "                                                                  ExcludeC...\n",
       "                              gpu_id=None, grow_policy=None,\n",
       "                              importance_type=None,\n",
       "                              interaction_constraints=None,\n",
       "                              learning_rate=0.00530171011345918, max_bin=None,\n",
       "                              max_cat_threshold=None, max_cat_to_onehot=None,\n",
       "                              max_delta_step=None, max_depth=18,\n",
       "                              max_leaves=None, min_child_weight=13, missing=nan,\n",
       "                              monotone_constraints=None, n_estimators=831,\n",
       "                              n_jobs=None, num_parallel_tree=None,\n",
       "                              predictor=None, random_state=None, ...))])
In a Jupyter environment, please rerun this cell to show the HTML representation or trust the notebook.
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" ], "text/plain": [ "Pipeline(steps=[('add feature',\n", " FunctionTransformer(func=,\n", " kw_args={'dimension_ratio_flag': 0,\n", " 'max_ratio': 1,\n", " 'meat_shell_flag': 0,\n", " 'proportional_weight_flag': 0,\n", " 'shell_surface_flag': 0,\n", " 'shell_volume_flag': 0})),\n", " ('preprocess',\n", " FeatureUnion(transformer_list=[('pipeline-1',\n", " Pipeline(steps=[('excludecolumnselector',\n", " ExcludeC...\n", " gpu_id=None, grow_policy=None,\n", " importance_type=None,\n", " interaction_constraints=None,\n", " learning_rate=0.00530171011345918, max_bin=None,\n", " max_cat_threshold=None, max_cat_to_onehot=None,\n", " max_delta_step=None, max_depth=18,\n", " max_leaves=None, min_child_weight=13, missing=nan,\n", " monotone_constraints=None, n_estimators=831,\n", " n_jobs=None, num_parallel_tree=None,\n", " predictor=None, random_state=None, ...))])" ] }, "execution_count": 10, "metadata": {}, "output_type": "execute_result" } ], "source": [ "from joblib import load\n", "pipe_xgb = load(r\"D:\\data science data\\abalone\\xgb_pipe.pkl\")\n", "pipe_xgb" ] }, { "cell_type": "code", "execution_count": 11, "metadata": {}, "outputs": [ { "data": { "text/plain": [ "array([ 9.937871, 10.094482, 9.467059, ..., 11.940689, 12.917361,\n", " 8.516136], dtype=float32)" ] }, "execution_count": 11, "metadata": {}, "output_type": "execute_result" } ], "source": [ "pipe_xgb.predict(df_test)" ] }, { "cell_type": "code", "execution_count": 12, "metadata": {}, "outputs": [], "source": [ "pipe_lgb = load(r\"D:\\data science data\\abalone\\lgb_pipe.pkl\")\n", "pipe_cat = load(r\"D:\\data science data\\abalone\\cat_pipe.pkl\")" ] }, { "cell_type": "code", "execution_count": 14, "metadata": {}, "outputs": [], "source": [ "from sklearn.model_selection import KFold" ] }, { "cell_type": "code", "execution_count": 17, "metadata": {}, "outputs": [], "source": [ "ntrain = X_train.shape[0]\n", "ntest = df_test.shape[0]\n", "SEED = 0 # for reproducibility\n", "NFOLDS = 5 # set folds for out-of-fold prediction\n", "kf = KFold( n_splits= NFOLDS, shuffle=True, random_state=SEED)" ] }, { "cell_type": "code", "execution_count": 18, "metadata": {}, "outputs": [], "source": [ "# Wrapper Class to extend the Sklearn classifier\n", "class SklearnHelper(object):\n", " def __init__(self, clf, seed=0, params=None):\n", " params['random_state'] = seed\n", " self.clf = clf(**params)\n", "\n", " def train(self, x_train, y_train):\n", " self.clf.fit(x_train, y_train)\n", "\n", " def predict(self, x):\n", " return self.clf.predict(x)\n", " \n", " def fit(self,x,y):\n", " return self.clf.fit(x,y)\n", " \n", " def feature_importances(self,x,y):\n", " print(self.clf.fit(x,y).feature_importances_)" ] }, { "cell_type": "code", "execution_count": 20, "metadata": {}, "outputs": [ { "data": { "text/plain": [ "array([[0., 0., 0., 0., 0., 0., 0., 0., 0., 0.],\n", " [0., 0., 0., 0., 0., 0., 0., 0., 0., 0.],\n", " [0., 0., 0., 0., 0., 0., 0., 0., 0., 0.],\n", " [0., 0., 0., 0., 0., 0., 0., 0., 0., 0.],\n", " [0., 0., 0., 0., 0., 0., 0., 0., 0., 0.]])" ] }, "execution_count": 20, "metadata": {}, "output_type": "execute_result" } ], "source": [ "np.empty((NFOLDS, 10))" ] }, { "cell_type": "code", "execution_count": 27, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "0 (array([ 0, 1, 2, ..., 94788, 94789, 94791]), array([ 3, 6, 9, ..., 94780, 94785, 94790]))\n", "1 (array([ 0, 2, 3, ..., 94788, 94789, 94790]), array([ 1, 8, 11, ..., 94783, 94786, 94791]))\n", "2 (array([ 1, 2, 3, ..., 94789, 94790, 94791]), array([ 0, 4, 5, ..., 94778, 94787, 94788]))\n", "3 (array([ 0, 1, 2, ..., 94788, 94790, 94791]), array([ 7, 16, 19, ..., 94782, 94784, 94789]))\n", "4 (array([ 0, 1, 3, ..., 94789, 94790, 94791]), array([ 2, 10, 13, ..., 94760, 94767, 94771]))\n" ] } ], "source": [ "for i, (train_index, test_index) in enumerate(kf.split(X_train)):\n", " print (i, (train_index, test_index))" ] }, { "cell_type": "code", "execution_count": 36, "metadata": {}, "outputs": [], "source": [ "def get_oof(clf, x_train, y_train, x_test):\n", " oof_train = np.zeros((ntrain,))\n", " oof_test = np.zeros((ntest,))\n", " oof_test_skf = np.empty((NFOLDS, ntest))\n", "\n", " for i, (train_index, test_index) in enumerate(kf.split(X_train)):\n", " x_tr = x_train.iloc[train_index]\n", " y_tr = y_train.iloc[train_index]\n", " x_te = x_train.iloc[test_index]\n", "\n", " clf.fit(x_tr, y_tr)\n", "\n", " oof_train[test_index] = clf.predict(x_te) #this is test group in train set, assign predict value\n", " oof_test_skf[i, :] = clf.predict(x_test) # use model to predict test, this is 2d array, contain nfold\n", "\n", " oof_test[:] = oof_test_skf.mean(axis=0) #this get average prediction of df_test\n", " return oof_train.reshape(-1, 1), oof_test.reshape(-1, 1) #get train, and test prediction \n" ] }, { "cell_type": "code", "execution_count": 23, "metadata": {}, "outputs": [], "source": [ "# y_train = y_train.ravel()\n", "# train = X_train\n", "# x_train = train.values # Creates an array of the train data\n", "# x_test = df_test.values \n" ] }, { "cell_type": "code", "execution_count": 35, "metadata": {}, "outputs": [ { "data": { "text/html": [ "
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SexLengthDiameterHeightWhole weightWhole weight.1Whole weight.2Shell weight
0F0.5500.4300.1500.77150.32850.14650.240
2I0.1600.1100.0250.02100.00550.00300.005
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" ], "text/plain": [ " Sex Length Diameter Height Whole weight Whole weight.1 Whole weight.2 \\\n", "0 F 0.550 0.430 0.150 0.7715 0.3285 0.1465 \n", "2 I 0.160 0.110 0.025 0.0210 0.0055 0.0030 \n", "3 M 0.595 0.475 0.150 0.9145 0.3755 0.2055 \n", "\n", " Shell weight \n", "0 0.240 \n", "2 0.005 \n", "3 0.250 " ] }, "execution_count": 35, "metadata": {}, "output_type": "execute_result" } ], "source": [ "X_train.iloc[np.array([0, 2, 3])]" ] }, { "cell_type": "code", "execution_count": 37, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "0:\tlearn: 2.9893385\ttotal: 190ms\tremaining: 3m\n", "1:\tlearn: 2.8279866\ttotal: 200ms\tremaining: 1m 34s\n", "2:\tlearn: 2.6858036\ttotal: 206ms\tremaining: 1m 5s\n", "3:\tlearn: 2.5703045\ttotal: 213ms\tremaining: 50.3s\n", "4:\tlearn: 2.4691350\ttotal: 220ms\tremaining: 41.7s\n", "5:\tlearn: 2.3844271\ttotal: 227ms\tremaining: 35.7s\n", "6:\tlearn: 2.3113392\ttotal: 234ms\tremaining: 31.5s\n", "7:\tlearn: 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1.6863805\ttotal: 6.85s\tremaining: 29ms\n", "946:\tlearn: 1.6862209\ttotal: 6.85s\tremaining: 21.7ms\n", "947:\tlearn: 1.6861647\ttotal: 6.86s\tremaining: 14.5ms\n", "948:\tlearn: 1.6859912\ttotal: 6.87s\tremaining: 7.24ms\n", "949:\tlearn: 1.6858602\ttotal: 6.87s\tremaining: 0us\n", "Training is complete\n" ] } ], "source": [ "xgb_oof_train, xgb_oof_test = get_oof(pipe_xgb, X_train, y_train, df_test) # xgb\n", "lgb_oof_train, lgb_oof_test = get_oof(pipe_lgb,X_train, y_train, df_test) # lgb\n", "cat_oof_train, cat_oof_test = get_oof(pipe_cat, X_train, y_train, df_test) # cat\n", "\n", "\n", "print(\"Training is complete\")" ] }, { "cell_type": "code", "execution_count": 38, "metadata": {}, "outputs": [], "source": [ "x_train = np.concatenate(( xgb_oof_train, lgb_oof_train,cat_oof_train), axis=1)\n", "x_test = np.concatenate(( xgb_oof_test, lgb_oof_test,cat_oof_test), axis=1)" ] }, { "cell_type": "code", "execution_count": 39, "metadata": {}, "outputs": [ { "name": "stderr", "output_type": "stream", "text": [ "\u001b[32m[I 2024-05-01 22:02:13,064]\u001b[0m A new study created in memory with name: no-name-0895b6ee-54d1-4d84-ada2-3753426f19e8\u001b[0m\n", "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n", "[Parallel(n_jobs=4)]: Done 5 out of 5 | elapsed: 15.8s finished\n", "\u001b[32m[I 2024-05-01 22:02:29,038]\u001b[0m Trial 0 finished with value: -0.022169308234905406 and parameters: {'gamma': 0.2068573766282819, 'max_depth': 2, 'subsample': 0.05779036567053651, 'n_estimators': 699, 'min_child_weight': 7, 'colsample_bytree': 0.5595093723865857, 'learning_rate': 0.008379015545505809}. Best is trial 0 with value: -0.022169308234905406.\u001b[0m\n", "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n", "[Parallel(n_jobs=4)]: Done 5 out of 5 | elapsed: 39.7s finished\n", "\u001b[32m[I 2024-05-01 22:03:08,912]\u001b[0m Trial 1 finished with value: -0.022149206531477138 and parameters: {'gamma': 0.32721094632122905, 'max_depth': 3, 'subsample': 0.8074848974480889, 'n_estimators': 729, 'min_child_weight': 2, 'colsample_bytree': 0.929143250892158, 'learning_rate': 0.010998121465875123}. Best is trial 1 with value: -0.022149206531477138.\u001b[0m\n", "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n", "[Parallel(n_jobs=4)]: Done 5 out of 5 | elapsed: 6.8s finished\n", "\u001b[32m[I 2024-05-01 22:03:15,951]\u001b[0m Trial 2 finished with value: -0.8198898374561058 and parameters: {'gamma': 0.5909483327717662, 'max_depth': 15, 'subsample': 0.22993516245048395, 'n_estimators': 150, 'min_child_weight': 9, 'colsample_bytree': 0.09828511693473249, 'learning_rate': 0.002402336093286725}. Best is trial 1 with value: -0.022149206531477138.\u001b[0m\n", "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n", "[Parallel(n_jobs=4)]: Done 5 out of 5 | elapsed: 12.4s finished\n", "\u001b[32m[I 2024-05-01 22:03:28,580]\u001b[0m Trial 3 finished with value: -0.05557749932563126 and parameters: {'gamma': 0.9848329140636952, 'max_depth': 7, 'subsample': 0.9115646065191735, 'n_estimators': 164, 'min_child_weight': 2, 'colsample_bytree': 0.10261610081580291, 'learning_rate': 0.009553600463164544}. Best is trial 1 with value: -0.022149206531477138.\u001b[0m\n", "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n", "[Parallel(n_jobs=4)]: Done 5 out of 5 | elapsed: 2.1min finished\n", "\u001b[32m[I 2024-05-01 22:05:33,351]\u001b[0m Trial 4 finished with value: -0.02287950269638548 and parameters: {'gamma': 0.8080421415168566, 'max_depth': 18, 'subsample': 0.8013263589724774, 'n_estimators': 729, 'min_child_weight': 19, 'colsample_bytree': 0.42841083959844656, 'learning_rate': 0.015309334875394603}. Best is trial 1 with value: -0.022149206531477138.\u001b[0m\n", "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n", "[Parallel(n_jobs=4)]: Done 5 out of 5 | elapsed: 21.0s finished\n", "\u001b[32m[I 2024-05-01 22:05:54,512]\u001b[0m Trial 5 finished with value: -0.022353733006711528 and parameters: {'gamma': 0.8138602141216341, 'max_depth': 12, 'subsample': 0.7044903673791619, 'n_estimators': 183, 'min_child_weight': 18, 'colsample_bytree': 0.24755598058925876, 'learning_rate': 0.035161720925180696}. Best is trial 1 with value: -0.022149206531477138.\u001b[0m\n", "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n", "[Parallel(n_jobs=4)]: Done 5 out of 5 | elapsed: 23.4s finished\n", "\u001b[32m[I 2024-05-01 22:06:18,085]\u001b[0m Trial 6 finished with value: -0.03235692177192939 and parameters: {'gamma': 0.9034082951642445, 'max_depth': 2, 'subsample': 0.336499053019894, 'n_estimators': 934, 'min_child_weight': 2, 'colsample_bytree': 0.13130347777278845, 'learning_rate': 0.0022294305104988044}. Best is trial 1 with value: -0.022149206531477138.\u001b[0m\n", "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n", "[Parallel(n_jobs=4)]: Done 5 out of 5 | elapsed: 30.8s finished\n", "\u001b[32m[I 2024-05-01 22:06:49,043]\u001b[0m Trial 7 finished with value: -0.1506583085617626 and parameters: {'gamma': 0.8259762388127923, 'max_depth': 16, 'subsample': 0.5281379656240688, 'n_estimators': 249, 'min_child_weight': 2, 'colsample_bytree': 0.7185966102466099, 'learning_rate': 0.004070709277832239}. Best is trial 1 with value: -0.022149206531477138.\u001b[0m\n", "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n", "[Parallel(n_jobs=4)]: Done 5 out of 5 | elapsed: 11.9s finished\n", "\u001b[32m[I 2024-05-01 22:07:01,195]\u001b[0m Trial 8 finished with value: -0.022178900595996014 and parameters: {'gamma': 0.9046479558228344, 'max_depth': 4, 'subsample': 0.7728248005388169, 'n_estimators': 254, 'min_child_weight': 3, 'colsample_bytree': 0.5517425693646515, 'learning_rate': 0.036691984353492565}. Best is trial 1 with value: -0.022149206531477138.\u001b[0m\n", "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n", "[Parallel(n_jobs=4)]: Done 5 out of 5 | elapsed: 23.0s finished\n", "\u001b[32m[I 2024-05-01 22:07:24,425]\u001b[0m Trial 9 finished with value: -0.022497986289161234 and parameters: {'gamma': 0.6642841712293909, 'max_depth': 14, 'subsample': 0.0958944881763568, 'n_estimators': 198, 'min_child_weight': 12, 'colsample_bytree': 0.9737703775842008, 'learning_rate': 0.03297196337730729}. Best is trial 1 with value: -0.022149206531477138.\u001b[0m\n", "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n", "[Parallel(n_jobs=4)]: Done 5 out of 5 | elapsed: 1.1min finished\n", "\u001b[32m[I 2024-05-01 22:08:30,651]\u001b[0m Trial 10 finished with value: -0.022578217896221442 and parameters: {'gamma': 0.28991493390074785, 'max_depth': 8, 'subsample': 0.9995024937856243, 'n_estimators': 450, 'min_child_weight': 14, 'colsample_bytree': 0.994149407162733, 'learning_rate': 0.08857042851921522}. Best is trial 1 with value: -0.022149206531477138.\u001b[0m\n", "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n", "[Parallel(n_jobs=4)]: Done 5 out of 5 | elapsed: 54.5s finished\n", "\u001b[32m[I 2024-05-01 22:09:25,359]\u001b[0m Trial 11 finished with value: -0.022067118807210413 and parameters: {'gamma': 0.04051037073229696, 'max_depth': 5, 'subsample': 0.5335952722743001, 'n_estimators': 710, 'min_child_weight': 7, 'colsample_bytree': 0.7739481686124402, 'learning_rate': 0.00741439991598927}. Best is trial 11 with value: -0.022067118807210413.\u001b[0m\n", "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n", "[Parallel(n_jobs=4)]: Done 5 out of 5 | elapsed: 1.6min finished\n", "\u001b[32m[I 2024-05-01 22:10:59,650]\u001b[0m Trial 12 finished with value: -0.022054928167132 and parameters: {'gamma': 0.03057753412902599, 'max_depth': 7, 'subsample': 0.547128370541306, 'n_estimators': 756, 'min_child_weight': 6, 'colsample_bytree': 0.8285016133702647, 'learning_rate': 0.005309188186046163}. Best is trial 12 with value: -0.022054928167132.\u001b[0m\n", "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n", "[Parallel(n_jobs=4)]: Done 5 out of 5 | elapsed: 1.8min finished\n", "\u001b[32m[I 2024-05-01 22:12:45,200]\u001b[0m Trial 13 finished with value: -0.18776547000063276 and parameters: {'gamma': 0.044050061001537896, 'max_depth': 8, 'subsample': 0.5316319038840098, 'n_estimators': 904, 'min_child_weight': 6, 'colsample_bytree': 0.7826995050157298, 'learning_rate': 0.0010111696737074886}. Best is trial 12 with value: -0.022054928167132.\u001b[0m\n", "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n", "[Parallel(n_jobs=4)]: Done 5 out of 5 | elapsed: 42.4s finished\n", "\u001b[32m[I 2024-05-01 22:13:27,853]\u001b[0m Trial 14 finished with value: -0.025524383455693612 and parameters: {'gamma': 0.029158021635286822, 'max_depth': 6, 'subsample': 0.3771034931338296, 'n_estimators': 544, 'min_child_weight': 6, 'colsample_bytree': 0.7711732332096772, 'learning_rate': 0.004639817009135129}. Best is trial 12 with value: -0.022054928167132.\u001b[0m\n", "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n", "[Parallel(n_jobs=4)]: Done 5 out of 5 | elapsed: 2.1min finished\n", "\u001b[32m[I 2024-05-01 22:15:31,389]\u001b[0m Trial 15 finished with value: -0.02219132185960513 and parameters: {'gamma': 0.15081504140465557, 'max_depth': 10, 'subsample': 0.6448416323928112, 'n_estimators': 841, 'min_child_weight': 10, 'colsample_bytree': 0.682316744621827, 'learning_rate': 0.004425214879783554}. Best is trial 12 with value: -0.022054928167132.\u001b[0m\n", "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n", "[Parallel(n_jobs=4)]: Done 5 out of 5 | elapsed: 37.3s finished\n", "\u001b[32m[I 2024-05-01 22:16:08,949]\u001b[0m Trial 16 finished with value: -0.02220542669103658 and parameters: {'gamma': 0.4330907879755157, 'max_depth': 5, 'subsample': 0.4020074745310171, 'n_estimators': 566, 'min_child_weight': 14, 'colsample_bytree': 0.8326630467286468, 'learning_rate': 0.022177044276422083}. Best is trial 12 with value: -0.022054928167132.\u001b[0m\n", "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n", "[Parallel(n_jobs=4)]: Done 5 out of 5 | elapsed: 57.7s finished\n", "\u001b[32m[I 2024-05-01 22:17:06,882]\u001b[0m Trial 17 finished with value: -0.022177452573862 and parameters: {'gamma': 0.14522108665336858, 'max_depth': 10, 'subsample': 0.6061963150730424, 'n_estimators': 623, 'min_child_weight': 8, 'colsample_bytree': 0.6355314155282319, 'learning_rate': 0.006046295786875282}. Best is trial 12 with value: -0.022054928167132.\u001b[0m\n", "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n", "[Parallel(n_jobs=4)]: Done 5 out of 5 | elapsed: 20.3s finished\n", "\u001b[32m[I 2024-05-01 22:17:27,409]\u001b[0m Trial 18 finished with value: -0.1981381180710644 and parameters: {'gamma': 0.42565140125585677, 'max_depth': 12, 'subsample': 0.28267803752347886, 'n_estimators': 398, 'min_child_weight': 5, 'colsample_bytree': 0.41426734912336216, 'learning_rate': 0.002235294518868769}. Best is trial 12 with value: -0.022054928167132.\u001b[0m\n", "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n", "[Parallel(n_jobs=4)]: Done 5 out of 5 | elapsed: 1.1min finished\n", "\u001b[32m[I 2024-05-01 22:18:35,710]\u001b[0m Trial 19 finished with value: -0.23633081219194585 and parameters: {'gamma': 0.012548852280916074, 'max_depth': 20, 'subsample': 0.40760028619755795, 'n_estimators': 800, 'min_child_weight': 12, 'colsample_bytree': 0.8642688508145191, 'learning_rate': 0.0010184597497155223}. Best is trial 12 with value: -0.022054928167132.\u001b[0m\n", "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n", "[Parallel(n_jobs=4)]: Done 5 out of 5 | elapsed: 1.1min finished\n", "\u001b[32m[I 2024-05-01 22:19:44,668]\u001b[0m Trial 20 finished with value: -0.022206587246391407 and parameters: {'gamma': 0.29100702952990276, 'max_depth': 5, 'subsample': 0.48835467972141144, 'n_estimators': 965, 'min_child_weight': 4, 'colsample_bytree': 0.8738502747726273, 'learning_rate': 0.014938960277829361}. Best is trial 12 with value: -0.022054928167132.\u001b[0m\n", "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n", "[Parallel(n_jobs=4)]: Done 5 out of 5 | elapsed: 37.3s finished\n", "\u001b[32m[I 2024-05-01 22:20:22,210]\u001b[0m Trial 21 finished with value: -0.022159212644359667 and parameters: {'gamma': 0.22252907746788253, 'max_depth': 3, 'subsample': 0.7950630057820574, 'n_estimators': 737, 'min_child_weight': 4, 'colsample_bytree': 0.9210459721304841, 'learning_rate': 0.013514917598388384}. Best is trial 12 with value: -0.022054928167132.\u001b[0m\n", "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n", "[Parallel(n_jobs=4)]: Done 5 out of 5 | elapsed: 40.2s finished\n", "\u001b[32m[I 2024-05-01 22:21:02,677]\u001b[0m Trial 22 finished with value: -0.022019310926042646 and parameters: {'gamma': 0.3484025318375001, 'max_depth': 4, 'subsample': 0.6230862937295858, 'n_estimators': 650, 'min_child_weight': 7, 'colsample_bytree': 0.777126613189779, 'learning_rate': 0.007020575494601785}. Best is trial 22 with value: -0.022019310926042646.\u001b[0m\n", "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n", "[Parallel(n_jobs=4)]: Done 5 out of 5 | elapsed: 43.7s finished\n", "\u001b[32m[I 2024-05-01 22:21:46,610]\u001b[0m Trial 23 finished with value: -0.0220552699373532 and parameters: {'gamma': 0.09112513517647106, 'max_depth': 7, 'subsample': 0.6043601362224369, 'n_estimators': 634, 'min_child_weight': 8, 'colsample_bytree': 0.6338584529896951, 'learning_rate': 0.006940070684259292}. Best is trial 22 with value: -0.022019310926042646.\u001b[0m\n", "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n", "[Parallel(n_jobs=4)]: Done 5 out of 5 | elapsed: 45.2s finished\n", "\u001b[32m[I 2024-05-01 22:22:32,028]\u001b[0m Trial 24 finished with value: -0.034706735485601256 and parameters: {'gamma': 0.12102450644033323, 'max_depth': 8, 'subsample': 0.6341043182513384, 'n_estimators': 621, 'min_child_weight': 9, 'colsample_bytree': 0.643070084358685, 'learning_rate': 0.003203178270826942}. Best is trial 22 with value: -0.022019310926042646.\u001b[0m\n", "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n", "[Parallel(n_jobs=4)]: Done 5 out of 5 | elapsed: 33.9s finished\n", "\u001b[32m[I 2024-05-01 22:23:06,147]\u001b[0m Trial 25 finished with value: -0.026603403167860036 and parameters: {'gamma': 0.37963193710011756, 'max_depth': 10, 'subsample': 0.6900910305519253, 'n_estimators': 395, 'min_child_weight': 11, 'colsample_bytree': 0.483825976171461, 'learning_rate': 0.006125479854387395}. Best is trial 22 with value: -0.022019310926042646.\u001b[0m\n", "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n", "[Parallel(n_jobs=4)]: Done 5 out of 5 | elapsed: 30.0s finished\n", "\u001b[32m[I 2024-05-01 22:23:36,536]\u001b[0m Trial 26 finished with value: -0.24652003316885307 and parameters: {'gamma': 0.5083141497529351, 'max_depth': 7, 'subsample': 0.4866894329435886, 'n_estimators': 505, 'min_child_weight': 8, 'colsample_bytree': 0.5927955120716042, 'learning_rate': 0.0015772340450872042}. Best is trial 22 with value: -0.022019310926042646.\u001b[0m\n", "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n", "[Parallel(n_jobs=4)]: Done 5 out of 5 | elapsed: 1.2min finished\n", "\u001b[32m[I 2024-05-01 22:24:49,936]\u001b[0m Trial 27 finished with value: -0.022471092404730195 and parameters: {'gamma': 0.22110592104155707, 'max_depth': 9, 'subsample': 0.7310365301713727, 'n_estimators': 831, 'min_child_weight': 5, 'colsample_bytree': 0.3215111230799343, 'learning_rate': 0.02079667269769208}. Best is trial 22 with value: -0.022019310926042646.\u001b[0m\n", "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n", "[Parallel(n_jobs=4)]: Done 5 out of 5 | elapsed: 59.3s finished\n", "\u001b[32m[I 2024-05-01 22:25:49,483]\u001b[0m Trial 28 finished with value: -0.02207743944776159 and parameters: {'gamma': 0.10435788007469855, 'max_depth': 6, 'subsample': 0.5850408925436951, 'n_estimators': 642, 'min_child_weight': 14, 'colsample_bytree': 0.7410349986274143, 'learning_rate': 0.005953035779050241}. Best is trial 22 with value: -0.022019310926042646.\u001b[0m\n", "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n", "[Parallel(n_jobs=4)]: Done 5 out of 5 | elapsed: 47.1s finished\n", "\u001b[32m[I 2024-05-01 22:26:36,789]\u001b[0m Trial 29 finished with value: -0.02212932046000788 and parameters: {'gamma': 0.2129260635793482, 'max_depth': 3, 'subsample': 0.8802496066260054, 'n_estimators': 787, 'min_child_weight': 7, 'colsample_bytree': 0.6917907056021613, 'learning_rate': 0.008357662953584973}. Best is trial 22 with value: -0.022019310926042646.\u001b[0m\n", "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n", "[Parallel(n_jobs=4)]: Done 5 out of 5 | elapsed: 18.4s finished\n", "\u001b[32m[I 2024-05-01 22:26:55,428]\u001b[0m Trial 30 finished with value: -0.026223722179793702 and parameters: {'gamma': 0.6382484856949217, 'max_depth': 2, 'subsample': 0.44638569711464454, 'n_estimators': 659, 'min_child_weight': 10, 'colsample_bytree': 0.49009118620918535, 'learning_rate': 0.003744468799567934}. Best is trial 22 with value: -0.022019310926042646.\u001b[0m\n", "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n", "[Parallel(n_jobs=4)]: Done 5 out of 5 | elapsed: 56.6s finished\n", "\u001b[32m[I 2024-05-01 22:27:52,229]\u001b[0m Trial 31 finished with value: -0.02205114765600376 and parameters: {'gamma': 0.06409627555541758, 'max_depth': 5, 'subsample': 0.5644586921782846, 'n_estimators': 686, 'min_child_weight': 7, 'colsample_bytree': 0.8127697154368503, 'learning_rate': 0.007312176185645773}. Best is trial 22 with value: -0.022019310926042646.\u001b[0m\n", "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n", "[Parallel(n_jobs=4)]: Done 5 out of 5 | elapsed: 38.2s finished\n", "\u001b[32m[I 2024-05-01 22:28:30,621]\u001b[0m Trial 32 finished with value: -0.02208675936211007 and parameters: {'gamma': 0.08569783363598715, 'max_depth': 4, 'subsample': 0.6105955534540394, 'n_estimators': 585, 'min_child_weight': 6, 'colsample_bytree': 0.8211012013593119, 'learning_rate': 0.009660140473065428}. Best is trial 22 with value: -0.022019310926042646.\u001b[0m\n", "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n", "[Parallel(n_jobs=4)]: Done 5 out of 5 | elapsed: 1.1min finished\n", "\u001b[32m[I 2024-05-01 22:29:37,712]\u001b[0m Trial 33 finished with value: -0.03037951114714472 and parameters: {'gamma': 0.26472015307391417, 'max_depth': 6, 'subsample': 0.5731455071446727, 'n_estimators': 693, 'min_child_weight': 8, 'colsample_bytree': 0.9109870701046555, 'learning_rate': 0.003124413813058689}. Best is trial 22 with value: -0.022019310926042646.\u001b[0m\n", "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n", "[Parallel(n_jobs=4)]: Done 5 out of 5 | elapsed: 25.4s finished\n", "\u001b[32m[I 2024-05-01 22:30:03,380]\u001b[0m Trial 34 finished with value: -0.02254027836061815 and parameters: {'gamma': 0.16455433393138913, 'max_depth': 4, 'subsample': 0.6726331763877217, 'n_estimators': 502, 'min_child_weight': 9, 'colsample_bytree': 0.6198316937421414, 'learning_rate': 0.0064255765407817715}. Best is trial 22 with value: -0.022019310926042646.\u001b[0m\n", "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n", "[Parallel(n_jobs=4)]: Done 5 out of 5 | elapsed: 1.7min finished\n", "\u001b[32m[I 2024-05-01 22:31:46,034]\u001b[0m Trial 35 finished with value: -0.022217189034856318 and parameters: {'gamma': 0.09230580426845436, 'max_depth': 7, 'subsample': 0.7319954006109617, 'n_estimators': 880, 'min_child_weight': 5, 'colsample_bytree': 0.846391280330899, 'learning_rate': 0.010264638581297598}. Best is trial 22 with value: -0.022019310926042646.\u001b[0m\n", "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n", "[Parallel(n_jobs=4)]: Done 5 out of 5 | elapsed: 1.3min finished\n", "\u001b[32m[I 2024-05-01 22:33:03,219]\u001b[0m Trial 36 finished with value: -0.02205671439720818 and parameters: {'gamma': 0.34969355390749374, 'max_depth': 7, 'subsample': 0.45603686161734136, 'n_estimators': 768, 'min_child_weight': 7, 'colsample_bytree': 0.6709827941409181, 'learning_rate': 0.005163312935243691}. Best is trial 22 with value: -0.022019310926042646.\u001b[0m\n", "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n", "[Parallel(n_jobs=4)]: Done 5 out of 5 | elapsed: 1.6min finished\n", "\u001b[32m[I 2024-05-01 22:34:37,229]\u001b[0m Trial 37 finished with value: -0.022290178138655484 and parameters: {'gamma': 0.18537113529593371, 'max_depth': 9, 'subsample': 0.5780643108548514, 'n_estimators': 678, 'min_child_weight': 10, 'colsample_bytree': 0.7463532633659913, 'learning_rate': 0.012303714511797504}. Best is trial 22 with value: -0.022019310926042646.\u001b[0m\n", "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n", "[Parallel(n_jobs=4)]: Done 5 out of 5 | elapsed: 31.7s finished\n", "\u001b[32m[I 2024-05-01 22:35:09,109]\u001b[0m Trial 38 finished with value: -0.022126297263732317 and parameters: {'gamma': 0.0731193018397538, 'max_depth': 2, 'subsample': 0.8697104680810632, 'n_estimators': 753, 'min_child_weight': 4, 'colsample_bytree': 0.7992820093011249, 'learning_rate': 0.007914438930394204}. Best is trial 22 with value: -0.022019310926042646.\u001b[0m\n", "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n", "[Parallel(n_jobs=4)]: Done 5 out of 5 | elapsed: 33.1s finished\n", "\u001b[32m[I 2024-05-01 22:35:42,419]\u001b[0m Trial 39 finished with value: -0.059820725053585724 and parameters: {'gamma': 0.2637269077768498, 'max_depth': 12, 'subsample': 0.2028774926246552, 'n_estimators': 576, 'min_child_weight': 9, 'colsample_bytree': 0.5835442864537892, 'learning_rate': 0.0026476899587810757}. Best is trial 22 with value: -0.022019310926042646.\u001b[0m\n", "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n", "[Parallel(n_jobs=4)]: Done 5 out of 5 | elapsed: 52.1s finished\n", "\u001b[32m[I 2024-05-01 22:36:34,762]\u001b[0m Trial 40 finished with value: -0.02218151649722557 and parameters: {'gamma': 0.5244558680872974, 'max_depth': 3, 'subsample': 0.6626842551720573, 'n_estimators': 996, 'min_child_weight': 3, 'colsample_bytree': 0.8890424092825496, 'learning_rate': 0.020859734737666596}. Best is trial 22 with value: -0.022019310926042646.\u001b[0m\n", "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n", "[Parallel(n_jobs=4)]: Done 5 out of 5 | elapsed: 48.6s finished\n", "\u001b[32m[I 2024-05-01 22:37:23,577]\u001b[0m Trial 41 finished with value: -0.022065770247615392 and parameters: {'gamma': 0.3575196478449827, 'max_depth': 6, 'subsample': 0.5084953592000787, 'n_estimators': 759, 'min_child_weight': 7, 'colsample_bytree': 0.6650422209682167, 'learning_rate': 0.005166204936821102}. Best is trial 22 with value: -0.022019310926042646.\u001b[0m\n", "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n", "[Parallel(n_jobs=4)]: Done 5 out of 5 | elapsed: 60.0s finished\n", "\u001b[32m[I 2024-05-01 22:38:23,795]\u001b[0m Trial 42 finished with value: -0.022214155908901467 and parameters: {'gamma': 0.43924205109519227, 'max_depth': 7, 'subsample': 0.3122602585111854, 'n_estimators': 704, 'min_child_weight': 7, 'colsample_bytree': 0.7096184773247196, 'learning_rate': 0.005038498333599149}. Best is trial 22 with value: -0.022019310926042646.\u001b[0m\n", "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n", "[Parallel(n_jobs=4)]: Done 5 out of 5 | elapsed: 42.5s finished\n", "\u001b[32m[I 2024-05-01 22:39:06,473]\u001b[0m Trial 43 finished with value: -0.022117262367366018 and parameters: {'gamma': 0.5839500372388077, 'max_depth': 5, 'subsample': 0.4482900146715637, 'n_estimators': 813, 'min_child_weight': 8, 'colsample_bytree': 0.5371671519612338, 'learning_rate': 0.007371879561326467}. Best is trial 22 with value: -0.022019310926042646.\u001b[0m\n", "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n", "[Parallel(n_jobs=4)]: Done 5 out of 5 | elapsed: 1.8min finished\n", "\u001b[32m[I 2024-05-01 22:40:55,762]\u001b[0m Trial 44 finished with value: -0.022264453338771382 and parameters: {'gamma': 0.33666646969631175, 'max_depth': 8, 'subsample': 0.5501859340912899, 'n_estimators': 868, 'min_child_weight': 6, 'colsample_bytree': 0.9486274954308702, 'learning_rate': 0.010853214282740812}. Best is trial 22 with value: -0.022019310926042646.\u001b[0m\n", "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n", "[Parallel(n_jobs=4)]: Done 5 out of 5 | elapsed: 37.7s finished\n", "\u001b[32m[I 2024-05-01 22:41:33,744]\u001b[0m Trial 45 finished with value: -0.03189285270035761 and parameters: {'gamma': 0.7179889400508317, 'max_depth': 4, 'subsample': 0.4786305289289855, 'n_estimators': 604, 'min_child_weight': 6, 'colsample_bytree': 0.7382457252994497, 'learning_rate': 0.003464640886830255}. Best is trial 22 with value: -0.022019310926042646.\u001b[0m\n", "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n", "[Parallel(n_jobs=4)]: Done 5 out of 5 | elapsed: 1.6min finished\n", "\u001b[32m[I 2024-05-01 22:43:11,607]\u001b[0m Trial 46 finished with value: -0.06921400254815244 and parameters: {'gamma': 0.010451928353012209, 'max_depth': 9, 'subsample': 0.7463341872567932, 'n_estimators': 773, 'min_child_weight': 17, 'colsample_bytree': 0.784963429099234, 'learning_rate': 0.0018489179936837562}. Best is trial 22 with value: -0.022019310926042646.\u001b[0m\n", "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n", "[Parallel(n_jobs=4)]: Done 5 out of 5 | elapsed: 1.6min finished\n", "\u001b[32m[I 2024-05-01 22:44:47,726]\u001b[0m Trial 47 finished with value: -0.02339305253461397 and parameters: {'gamma': 0.38871894587190853, 'max_depth': 14, 'subsample': 0.3585335335063773, 'n_estimators': 658, 'min_child_weight': 20, 'colsample_bytree': 0.6974238183922222, 'learning_rate': 0.004473208526785943}. Best is trial 22 with value: -0.022019310926042646.\u001b[0m\n", "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n", "[Parallel(n_jobs=4)]: Done 5 out of 5 | elapsed: 53.2s finished\n", "\u001b[32m[I 2024-05-01 22:45:41,194]\u001b[0m Trial 48 finished with value: -0.022406571149356173 and parameters: {'gamma': 0.3117225924017949, 'max_depth': 11, 'subsample': 0.44481722543809254, 'n_estimators': 524, 'min_child_weight': 11, 'colsample_bytree': 0.6011636347397663, 'learning_rate': 0.016852685833877667}. Best is trial 22 with value: -0.022019310926042646.\u001b[0m\n", "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n", "[Parallel(n_jobs=4)]: Done 5 out of 5 | elapsed: 38.1s finished\n", "\u001b[32m[I 2024-05-01 22:46:19,515]\u001b[0m Trial 49 finished with value: -0.022027438735564474 and parameters: {'gamma': 0.06347257276160652, 'max_depth': 5, 'subsample': 0.6264278686617994, 'n_estimators': 458, 'min_child_weight': 5, 'colsample_bytree': 0.8170958647951871, 'learning_rate': 0.008765450623225179}. Best is trial 22 with value: -0.022019310926042646.\u001b[0m\n", "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n", "[Parallel(n_jobs=4)]: Done 5 out of 5 | elapsed: 37.3s finished\n", "\u001b[32m[I 2024-05-01 22:46:57,111]\u001b[0m Trial 50 finished with value: -0.02239108260446073 and parameters: {'gamma': 0.07091971807521483, 'max_depth': 5, 'subsample': 0.6238774337355171, 'n_estimators': 460, 'min_child_weight': 3, 'colsample_bytree': 0.9745744724678717, 'learning_rate': 0.07398191055792533}. Best is trial 22 with value: -0.022019310926042646.\u001b[0m\n", "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n", "[Parallel(n_jobs=4)]: Done 5 out of 5 | elapsed: 28.0s finished\n", "\u001b[32m[I 2024-05-01 22:47:25,364]\u001b[0m Trial 51 finished with value: -0.024643103162993625 and parameters: {'gamma': 0.13353521350231257, 'max_depth': 6, 'subsample': 0.5651086389655342, 'n_estimators': 295, 'min_child_weight': 5, 'colsample_bytree': 0.7975215890779748, 'learning_rate': 0.008931022483308121}. Best is trial 22 with value: -0.022019310926042646.\u001b[0m\n", "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n", "[Parallel(n_jobs=4)]: Done 5 out of 5 | elapsed: 48.1s finished\n", "\u001b[32m[I 2024-05-01 22:48:13,733]\u001b[0m Trial 52 finished with value: -0.022052675815113255 and parameters: {'gamma': 0.05385913134523984, 'max_depth': 4, 'subsample': 0.5248907509911893, 'n_estimators': 732, 'min_child_weight': 7, 'colsample_bytree': 0.8364751596545159, 'learning_rate': 0.006957113769891462}. Best is trial 22 with value: -0.022019310926042646.\u001b[0m\n", "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n", "[Parallel(n_jobs=4)]: Done 5 out of 5 | elapsed: 47.2s finished\n", "\u001b[32m[I 2024-05-01 22:49:01,278]\u001b[0m Trial 53 finished with value: -0.022062149699222267 and parameters: {'gamma': 0.06441333589873577, 'max_depth': 4, 'subsample': 0.52413752822867, 'n_estimators': 727, 'min_child_weight': 8, 'colsample_bytree': 0.85915355399914, 'learning_rate': 0.0071895337814193395}. Best is trial 22 with value: -0.022019310926042646.\u001b[0m\n", "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n", "[Parallel(n_jobs=4)]: Done 5 out of 5 | elapsed: 19.7s finished\n", "\u001b[32m[I 2024-05-01 22:49:21,171]\u001b[0m Trial 54 finished with value: -0.02202590723857593 and parameters: {'gamma': 0.16795713292186354, 'max_depth': 3, 'subsample': 0.7002864730600978, 'n_estimators': 367, 'min_child_weight': 5, 'colsample_bytree': 0.8207339633395966, 'learning_rate': 0.01223392098284567}. Best is trial 22 with value: -0.022019310926042646.\u001b[0m\n", "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n", "[Parallel(n_jobs=4)]: Done 5 out of 5 | elapsed: 20.3s finished\n", "\u001b[32m[I 2024-05-01 22:49:41,681]\u001b[0m Trial 55 finished with value: -0.022022873268496713 and parameters: {'gamma': 0.049965287947398074, 'max_depth': 3, 'subsample': 0.7022708838883356, 'n_estimators': 367, 'min_child_weight': 3, 'colsample_bytree': 0.8929252165512376, 'learning_rate': 0.011823111241017396}. Best is trial 22 with value: -0.022019310926042646.\u001b[0m\n", "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n", "[Parallel(n_jobs=4)]: Done 5 out of 5 | elapsed: 20.6s finished\n", "\u001b[32m[I 2024-05-01 22:50:02,473]\u001b[0m Trial 56 finished with value: -0.022101349450433252 and parameters: {'gamma': 0.17629447326901487, 'max_depth': 3, 'subsample': 0.7766007235077268, 'n_estimators': 340, 'min_child_weight': 2, 'colsample_bytree': 0.9419125593816398, 'learning_rate': 0.016593640663926868}. Best is trial 22 with value: -0.022019310926042646.\u001b[0m\n", "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n", "[Parallel(n_jobs=4)]: Done 5 out of 5 | elapsed: 15.0s finished\n", "\u001b[32m[I 2024-05-01 22:50:17,722]\u001b[0m Trial 57 finished with value: -0.022078371358598047 and parameters: {'gamma': 0.13513135269609222, 'max_depth': 2, 'subsample': 0.839003723350289, 'n_estimators': 375, 'min_child_weight': 3, 'colsample_bytree': 0.8987176968782037, 'learning_rate': 0.012432570005964429}. Best is trial 22 with value: -0.022019310926042646.\u001b[0m\n", "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n", "[Parallel(n_jobs=4)]: Done 5 out of 5 | elapsed: 7.7s finished\n", "\u001b[32m[I 2024-05-01 22:50:25,658]\u001b[0m Trial 58 finished with value: -0.09650024846545568 and parameters: {'gamma': 0.05149064573740147, 'max_depth': 4, 'subsample': 0.6888446186570815, 'n_estimators': 112, 'min_child_weight': 4, 'colsample_bytree': 0.8234740939324744, 'learning_rate': 0.010984693316866087}. Best is trial 22 with value: -0.022019310926042646.\u001b[0m\n", "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n", "[Parallel(n_jobs=4)]: Done 5 out of 5 | elapsed: 25.2s finished\n", "\u001b[32m[I 2024-05-01 22:50:51,060]\u001b[0m Trial 59 finished with value: -0.022025851409052423 and parameters: {'gamma': 0.2601157496888841, 'max_depth': 3, 'subsample': 0.7094094133078482, 'n_estimators': 465, 'min_child_weight': 5, 'colsample_bytree': 0.7583955751302827, 'learning_rate': 0.008844011566403114}. Best is trial 22 with value: -0.022019310926042646.\u001b[0m\n", "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n", "[Parallel(n_jobs=4)]: Done 5 out of 5 | elapsed: 17.9s finished\n", "\u001b[32m[I 2024-05-01 22:51:09,177]\u001b[0m Trial 60 finished with value: -0.022145722193897734 and parameters: {'gamma': 0.2548818826339546, 'max_depth': 2, 'subsample': 0.7185641754321974, 'n_estimators': 462, 'min_child_weight': 3, 'colsample_bytree': 0.7625612055322966, 'learning_rate': 0.01434494721823522}. Best is trial 22 with value: -0.022019310926042646.\u001b[0m\n", "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n", "[Parallel(n_jobs=4)]: Done 5 out of 5 | elapsed: 34.5s finished\n", "\u001b[32m[I 2024-05-01 22:51:43,882]\u001b[0m Trial 61 finished with value: -0.022186188569162414 and parameters: {'gamma': 0.11420459792111873, 'max_depth': 5, 'subsample': 0.6522163374452634, 'n_estimators': 419, 'min_child_weight': 5, 'colsample_bytree': 0.9982119303828113, 'learning_rate': 0.025871180415890427}. Best is trial 22 with value: -0.022019310926042646.\u001b[0m\n", "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n", "[Parallel(n_jobs=4)]: Done 5 out of 5 | elapsed: 17.7s finished\n", "\u001b[32m[I 2024-05-01 22:52:01,791]\u001b[0m Trial 62 finished with value: -0.024512775261361648 and parameters: {'gamma': 0.19475232994995434, 'max_depth': 3, 'subsample': 0.8223672967744722, 'n_estimators': 314, 'min_child_weight': 2, 'colsample_bytree': 0.817625492994757, 'learning_rate': 0.008448450656567743}. Best is trial 22 with value: -0.022019310926042646.\u001b[0m\n", "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n", "[Parallel(n_jobs=4)]: Done 5 out of 5 | elapsed: 25.5s finished\n", "\u001b[32m[I 2024-05-01 22:52:27,537]\u001b[0m Trial 63 finished with value: -0.022344747238145828 and parameters: {'gamma': 0.04342570755844448, 'max_depth': 4, 'subsample': 0.7606501302313928, 'n_estimators': 362, 'min_child_weight': 4, 'colsample_bytree': 0.8753988911291711, 'learning_rate': 0.00929580852700471}. Best is trial 22 with value: -0.022019310926042646.\u001b[0m\n", "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n", "[Parallel(n_jobs=4)]: Done 5 out of 5 | elapsed: 13.3s finished\n", "\u001b[32m[I 2024-05-01 22:52:41,032]\u001b[0m Trial 64 finished with value: -0.02301508660007568 and parameters: {'gamma': 0.010232720585947964, 'max_depth': 3, 'subsample': 0.7066165829784509, 'n_estimators': 243, 'min_child_weight': 6, 'colsample_bytree': 0.9306094533979935, 'learning_rate': 0.012324978002210418}. Best is trial 22 with value: -0.022019310926042646.\u001b[0m\n", "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n", "[Parallel(n_jobs=4)]: Done 5 out of 5 | elapsed: 24.9s finished\n", "\u001b[32m[I 2024-05-01 22:53:06,148]\u001b[0m Trial 65 finished with value: -0.02590205869339939 and parameters: {'gamma': 0.2462452811843609, 'max_depth': 5, 'subsample': 0.642949193075874, 'n_estimators': 423, 'min_child_weight': 5, 'colsample_bytree': 0.1435929822741041, 'learning_rate': 0.005860248436616203}. Best is trial 22 with value: -0.022019310926042646.\u001b[0m\n", "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n", "[Parallel(n_jobs=4)]: Done 5 out of 5 | elapsed: 27.7s finished\n", "\u001b[32m[I 2024-05-01 22:53:34,043]\u001b[0m Trial 66 finished with value: -0.022151626545344805 and parameters: {'gamma': 0.16237447435776692, 'max_depth': 3, 'subsample': 0.6802726620480037, 'n_estimators': 502, 'min_child_weight': 4, 'colsample_bytree': 0.8447825288286327, 'learning_rate': 0.016890823184675958}. Best is trial 22 with value: -0.022019310926042646.\u001b[0m\n", "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n", "[Parallel(n_jobs=4)]: Done 5 out of 5 | elapsed: 21.6s finished\n", "\u001b[32m[I 2024-05-01 22:53:55,868]\u001b[0m Trial 67 finished with value: -0.022172787711248573 and parameters: {'gamma': 0.11323019166191559, 'max_depth': 2, 'subsample': 0.6221867868591675, 'n_estimators': 544, 'min_child_weight': 7, 'colsample_bytree': 0.7210864971985955, 'learning_rate': 0.006938025395180814}. Best is trial 22 with value: -0.022019310926042646.\u001b[0m\n", "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n", "[Parallel(n_jobs=4)]: Done 5 out of 5 | elapsed: 23.9s finished\n", "\u001b[32m[I 2024-05-01 22:54:19,960]\u001b[0m Trial 68 finished with value: -0.02342709532932917 and parameters: {'gamma': 0.23087366741191648, 'max_depth': 5, 'subsample': 0.5920711915476455, 'n_estimators': 290, 'min_child_weight': 6, 'colsample_bytree': 0.7660587290027835, 'learning_rate': 0.009894321333398718}. Best is trial 22 with value: -0.022019310926042646.\u001b[0m\n", "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n", "[Parallel(n_jobs=4)]: Done 5 out of 5 | elapsed: 33.0s finished\n", "\u001b[32m[I 2024-05-01 22:54:53,171]\u001b[0m Trial 69 finished with value: -0.040705706524096594 and parameters: {'gamma': 0.9971303135695258, 'max_depth': 4, 'subsample': 0.7828633629404242, 'n_estimators': 440, 'min_child_weight': 5, 'colsample_bytree': 0.8928124810820846, 'learning_rate': 0.004136061738228519}. Best is trial 22 with value: -0.022019310926042646.\u001b[0m\n", "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n", "[Parallel(n_jobs=4)]: Done 5 out of 5 | elapsed: 2.3min finished\n", "\u001b[32m[I 2024-05-01 22:57:12,977]\u001b[0m Trial 70 finished with value: -0.022504234185007715 and parameters: {'gamma': 0.3000552795015311, 'max_depth': 18, 'subsample': 0.9388033647024318, 'n_estimators': 487, 'min_child_weight': 3, 'colsample_bytree': 0.9602519108331407, 'learning_rate': 0.008402743909492864}. Best is trial 22 with value: -0.022019310926042646.\u001b[0m\n", "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n", "[Parallel(n_jobs=4)]: Done 5 out of 5 | elapsed: 21.0s finished\n", "\u001b[32m[I 2024-05-01 22:57:34,163]\u001b[0m Trial 71 finished with value: -0.030752821548453213 and parameters: {'gamma': 0.04189193262849126, 'max_depth': 3, 'subsample': 0.5508025665743469, 'n_estimators': 391, 'min_child_weight': 6, 'colsample_bytree': 0.8174381675728633, 'learning_rate': 0.005476449478633911}. Best is trial 22 with value: -0.022019310926042646.\u001b[0m\n", "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n", "[Parallel(n_jobs=4)]: Done 5 out of 5 | elapsed: 1.1min finished\n", "\u001b[32m[I 2024-05-01 22:58:39,019]\u001b[0m Trial 72 finished with value: -0.022193684390943262 and parameters: {'gamma': 0.09295754917515951, 'max_depth': 6, 'subsample': 0.5075289090662476, 'n_estimators': 678, 'min_child_weight': 7, 'colsample_bytree': 0.8570119200518337, 'learning_rate': 0.013156727990366749}. Best is trial 22 with value: -0.022019310926042646.\u001b[0m\n", "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n", "[Parallel(n_jobs=4)]: Done 5 out of 5 | elapsed: 23.8s finished\n", "\u001b[32m[I 2024-05-01 22:59:02,981]\u001b[0m Trial 73 finished with value: -0.031113094554703236 and parameters: {'gamma': 0.1423881578519206, 'max_depth': 4, 'subsample': 0.6694661751685308, 'n_estimators': 337, 'min_child_weight': 9, 'colsample_bytree': 0.9204450277006587, 'learning_rate': 0.006303155547233201}. Best is trial 22 with value: -0.022019310926042646.\u001b[0m\n", "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n", "[Parallel(n_jobs=4)]: Done 5 out of 5 | elapsed: 30.3s finished\n", "\u001b[32m[I 2024-05-01 22:59:33,495]\u001b[0m Trial 74 finished with value: -0.022152406403798997 and parameters: {'gamma': 0.03823485714119575, 'max_depth': 2, 'subsample': 0.7062202994283774, 'n_estimators': 737, 'min_child_weight': 4, 'colsample_bytree': 0.7951424647189959, 'learning_rate': 0.011070197208313882}. Best is trial 22 with value: -0.022019310926042646.\u001b[0m\n", "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n", "[Parallel(n_jobs=4)]: Done 5 out of 5 | elapsed: 56.1s finished\n", "\u001b[32m[I 2024-05-01 23:00:30,020]\u001b[0m Trial 75 finished with value: -0.02203152421881551 and parameters: {'gamma': 0.07171089448720822, 'max_depth': 5, 'subsample': 0.6033950026691339, 'n_estimators': 615, 'min_child_weight': 5, 'colsample_bytree': 0.8390842058693513, 'learning_rate': 0.0077247229587567206}. Best is trial 22 with value: -0.022019310926042646.\u001b[0m\n", "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n", "[Parallel(n_jobs=4)]: Done 5 out of 5 | elapsed: 30.4s finished\n", "\u001b[32m[I 2024-05-01 23:01:00,660]\u001b[0m Trial 76 finished with value: -0.02202645634085228 and parameters: {'gamma': 0.19684180482048563, 'max_depth': 3, 'subsample': 0.5921068381815338, 'n_estimators': 589, 'min_child_weight': 5, 'colsample_bytree': 0.7483988373349488, 'learning_rate': 0.007840732690321359}. Best is trial 22 with value: -0.022019310926042646.\u001b[0m\n", "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n", "[Parallel(n_jobs=4)]: Done 5 out of 5 | elapsed: 30.6s finished\n", "\u001b[32m[I 2024-05-01 23:01:31,475]\u001b[0m Trial 77 finished with value: -0.022029451197554836 and parameters: {'gamma': 0.2045161342614612, 'max_depth': 3, 'subsample': 0.603528816081354, 'n_estimators': 590, 'min_child_weight': 5, 'colsample_bytree': 0.7397421696077612, 'learning_rate': 0.007908677302958508}. Best is trial 22 with value: -0.022019310926042646.\u001b[0m\n", "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n", "[Parallel(n_jobs=4)]: Done 5 out of 5 | elapsed: 30.7s finished\n", "\u001b[32m[I 2024-05-01 23:02:02,389]\u001b[0m Trial 78 finished with value: -0.02204470638127222 and parameters: {'gamma': 0.21230478382502574, 'max_depth': 3, 'subsample': 0.647479828549712, 'n_estimators': 600, 'min_child_weight': 5, 'colsample_bytree': 0.7299957052766002, 'learning_rate': 0.008124558596510834}. Best is trial 22 with value: -0.022019310926042646.\u001b[0m\n", "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n", "[Parallel(n_jobs=4)]: Done 5 out of 5 | elapsed: 19.3s finished\n", "\u001b[32m[I 2024-05-01 23:02:21,895]\u001b[0m Trial 79 finished with value: -0.022155120784548697 and parameters: {'gamma': 0.18581359710883374, 'max_depth': 2, 'subsample': 0.599456129593721, 'n_estimators': 548, 'min_child_weight': 4, 'colsample_bytree': 0.7629867280606697, 'learning_rate': 0.018270019902917784}. Best is trial 22 with value: -0.022019310926042646.\u001b[0m\n", "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n", "[Parallel(n_jobs=4)]: Done 5 out of 5 | elapsed: 17.7s finished\n", "\u001b[32m[I 2024-05-01 23:02:39,810]\u001b[0m Trial 80 finished with value: -0.02217363439277787 and parameters: {'gamma': 0.14959878126800566, 'max_depth': 3, 'subsample': 0.6118777010173205, 'n_estimators': 483, 'min_child_weight': 3, 'colsample_bytree': 0.39840326626106704, 'learning_rate': 0.02616575652922483}. Best is trial 22 with value: -0.022019310926042646.\u001b[0m\n", "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n", "[Parallel(n_jobs=4)]: Done 5 out of 5 | elapsed: 31.3s finished\n", "\u001b[32m[I 2024-05-01 23:03:11,322]\u001b[0m Trial 81 finished with value: -0.02209753149430196 and parameters: {'gamma': 0.2770328700855187, 'max_depth': 3, 'subsample': 0.6475889670728958, 'n_estimators': 619, 'min_child_weight': 5, 'colsample_bytree': 0.7271623895241872, 'learning_rate': 0.0092685195276954}. Best is trial 22 with value: -0.022019310926042646.\u001b[0m\n", "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n", "[Parallel(n_jobs=4)]: Done 5 out of 5 | elapsed: 16.8s finished\n", "\u001b[32m[I 2024-05-01 23:03:28,360]\u001b[0m Trial 82 finished with value: -0.02208650995674897 and parameters: {'gamma': 0.19284109567246557, 'max_depth': 2, 'subsample': 0.7349192422910988, 'n_estimators': 597, 'min_child_weight': 4, 'colsample_bytree': 0.6621979506652851, 'learning_rate': 0.008118769971100975}. Best is trial 22 with value: -0.022019310926042646.\u001b[0m\n", "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n", "[Parallel(n_jobs=4)]: Done 5 out of 5 | elapsed: 41.5s finished\n", "\u001b[32m[I 2024-05-01 23:04:10,168]\u001b[0m Trial 83 finished with value: -0.02214759044753709 and parameters: {'gamma': 0.23128231275376798, 'max_depth': 4, 'subsample': 0.6359562426054932, 'n_estimators': 646, 'min_child_weight': 5, 'colsample_bytree': 0.7048401032779861, 'learning_rate': 0.011867344288881115}. Best is trial 22 with value: -0.022019310926042646.\u001b[0m\n", "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n", "[Parallel(n_jobs=4)]: Done 5 out of 5 | elapsed: 29.3s finished\n", "\u001b[32m[I 2024-05-01 23:04:39,732]\u001b[0m Trial 84 finished with value: -0.02210044880017743 and parameters: {'gamma': 0.21392616525848648, 'max_depth': 3, 'subsample': 0.6960772082355497, 'n_estimators': 569, 'min_child_weight': 2, 'colsample_bytree': 0.7446558959272556, 'learning_rate': 0.01010496282453936}. Best is trial 22 with value: -0.022019310926042646.\u001b[0m\n", "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n", "[Parallel(n_jobs=4)]: Done 5 out of 5 | elapsed: 23.2s finished\n", "\u001b[32m[I 2024-05-01 23:05:03,212]\u001b[0m Trial 85 finished with value: -0.022201056156593894 and parameters: {'gamma': 0.32278587801405123, 'max_depth': 5, 'subsample': 0.05000998604799528, 'n_estimators': 562, 'min_child_weight': 6, 'colsample_bytree': 0.7910745491284435, 'learning_rate': 0.014530300234733524}. Best is trial 22 with value: -0.022019310926042646.\u001b[0m\n", "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n", "[Parallel(n_jobs=4)]: Done 5 out of 5 | elapsed: 28.7s finished\n", "\u001b[32m[I 2024-05-01 23:05:32,163]\u001b[0m Trial 86 finished with value: -0.022270577366472873 and parameters: {'gamma': 0.28458590250668325, 'max_depth': 3, 'subsample': 0.7506070400314635, 'n_estimators': 527, 'min_child_weight': 5, 'colsample_bytree': 0.873208668359513, 'learning_rate': 0.006552570291950114}. Best is trial 22 with value: -0.022019310926042646.\u001b[0m\n", "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n", "[Parallel(n_jobs=4)]: Done 5 out of 5 | elapsed: 21.4s finished\n", "\u001b[32m[I 2024-05-01 23:05:53,775]\u001b[0m Trial 87 finished with value: -0.022076173976366107 and parameters: {'gamma': 0.4607371706310319, 'max_depth': 2, 'subsample': 0.5885017782897884, 'n_estimators': 604, 'min_child_weight': 4, 'colsample_bytree': 0.7614951769126421, 'learning_rate': 0.008089252549688078}. Best is trial 22 with value: -0.022019310926042646.\u001b[0m\n", "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n", "[Parallel(n_jobs=4)]: Done 5 out of 5 | elapsed: 38.5s finished\n", "\u001b[32m[I 2024-05-01 23:06:32,505]\u001b[0m Trial 88 finished with value: -0.022363474108232976 and parameters: {'gamma': 0.162829955985095, 'max_depth': 4, 'subsample': 0.6638065946628713, 'n_estimators': 588, 'min_child_weight': 5, 'colsample_bytree': 0.6857610834897698, 'learning_rate': 0.005699422993918731}. Best is trial 22 with value: -0.022019310926042646.\u001b[0m\n", "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n", "[Parallel(n_jobs=4)]: Done 5 out of 5 | elapsed: 33.2s finished\n", "\u001b[32m[I 2024-05-01 23:07:05,963]\u001b[0m Trial 89 finished with value: -0.022061681372850618 and parameters: {'gamma': 0.11396290923899366, 'max_depth': 6, 'subsample': 0.8069501283197461, 'n_estimators': 527, 'min_child_weight': 6, 'colsample_bytree': 0.6545550997437243, 'learning_rate': 0.007643555398219157}. Best is trial 22 with value: -0.022019310926042646.\u001b[0m\n", "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n", "[Parallel(n_jobs=4)]: Done 5 out of 5 | elapsed: 15.2s finished\n", "\u001b[32m[I 2024-05-01 23:07:21,363]\u001b[0m Trial 90 finished with value: -0.030351414360816575 and parameters: {'gamma': 0.23813041900362672, 'max_depth': 3, 'subsample': 0.10752838205438126, 'n_estimators': 470, 'min_child_weight': 13, 'colsample_bytree': 0.8430900624745864, 'learning_rate': 0.00460413663160386}. Best is trial 22 with value: -0.022019310926042646.\u001b[0m\n", "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n", "[Parallel(n_jobs=4)]: Done 5 out of 5 | elapsed: 44.1s finished\n", "\u001b[32m[I 2024-05-01 23:08:05,904]\u001b[0m Trial 91 finished with value: -0.02211220501056392 and parameters: {'gamma': 0.20719608566019318, 'max_depth': 4, 'subsample': 0.5727161191270008, 'n_estimators': 678, 'min_child_weight': 6, 'colsample_bytree': 0.8115001038147459, 'learning_rate': 0.009127047105260216}. Best is trial 22 with value: -0.022019310926042646.\u001b[0m\n", "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n", "[Parallel(n_jobs=4)]: Done 5 out of 5 | elapsed: 48.7s finished\n", "\u001b[32m[I 2024-05-01 23:08:54,855]\u001b[0m Trial 92 finished with value: -0.02214497450148961 and parameters: {'gamma': 0.09337542454227657, 'max_depth': 5, 'subsample': 0.556497509019984, 'n_estimators': 639, 'min_child_weight': 8, 'colsample_bytree': 0.7752640383451564, 'learning_rate': 0.011034570646758115}. Best is trial 22 with value: -0.022019310926042646.\u001b[0m\n", "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n", "[Parallel(n_jobs=4)]: Done 5 out of 5 | elapsed: 47.8s finished\n", "\u001b[32m[I 2024-05-01 23:09:42,982]\u001b[0m Trial 93 finished with value: -0.022023622479093032 and parameters: {'gamma': 0.9305378400026869, 'max_depth': 5, 'subsample': 0.6230295925564198, 'n_estimators': 618, 'min_child_weight': 5, 'colsample_bytree': 0.7336773448515604, 'learning_rate': 0.006539444699149501}. Best is trial 22 with value: -0.022019310926042646.\u001b[0m\n", "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n", "[Parallel(n_jobs=4)]: Done 5 out of 5 | elapsed: 1.0min finished\n", "\u001b[32m[I 2024-05-01 23:10:45,388]\u001b[0m Trial 94 finished with value: -0.022036340912071066 and parameters: {'gamma': 0.3886629007908774, 'max_depth': 6, 'subsample': 0.6358616832538923, 'n_estimators': 628, 'min_child_weight': 3, 'colsample_bytree': 0.7336119818030874, 'learning_rate': 0.006423520810904455}. Best is trial 22 with value: -0.022019310926042646.\u001b[0m\n", "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n", "[Parallel(n_jobs=4)]: Done 5 out of 5 | elapsed: 59.0s finished\n", "\u001b[32m[I 2024-05-01 23:11:44,671]\u001b[0m Trial 95 finished with value: -0.023067334740769302 and parameters: {'gamma': 0.9016826570847385, 'max_depth': 6, 'subsample': 0.620271876484861, 'n_estimators': 619, 'min_child_weight': 2, 'colsample_bytree': 0.7513752684577343, 'learning_rate': 0.004825896321913621}. Best is trial 22 with value: -0.022019310926042646.\u001b[0m\n", "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n", "[Parallel(n_jobs=4)]: Done 5 out of 5 | elapsed: 38.0s finished\n", "\u001b[32m[I 2024-05-01 23:12:22,968]\u001b[0m Trial 96 finished with value: -0.023469140266399003 and parameters: {'gamma': 0.3831363515538289, 'max_depth': 5, 'subsample': 0.7202045199255531, 'n_estimators': 443, 'min_child_weight': 3, 'colsample_bytree': 0.7914601190139487, 'learning_rate': 0.006462340413686512}. Best is trial 22 with value: -0.022019310926042646.\u001b[0m\n", "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n", "[Parallel(n_jobs=4)]: Done 5 out of 5 | elapsed: 1.1min finished\n", "\u001b[32m[I 2024-05-01 23:13:26,506]\u001b[0m Trial 97 finished with value: -0.022176887773881195 and parameters: {'gamma': 0.7623612821653143, 'max_depth': 5, 'subsample': 0.6872850910186029, 'n_estimators': 659, 'min_child_weight': 4, 'colsample_bytree': 0.6873247521766727, 'learning_rate': 0.005416057782673105}. Best is trial 22 with value: -0.022019310926042646.\u001b[0m\n", "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n", "[Parallel(n_jobs=4)]: Done 5 out of 5 | elapsed: 28.9s finished\n", "\u001b[32m[I 2024-05-01 23:13:55,606]\u001b[0m Trial 98 finished with value: -0.022630027894016948 and parameters: {'gamma': 0.5442147892092829, 'max_depth': 4, 'subsample': 0.6000894683008173, 'n_estimators': 428, 'min_child_weight': 17, 'colsample_bytree': 0.7160415306020804, 'learning_rate': 0.007396830693121494}. Best is trial 22 with value: -0.022019310926042646.\u001b[0m\n", "[Parallel(n_jobs=4)]: Using backend LokyBackend with 4 concurrent workers.\n", "[Parallel(n_jobs=4)]: Done 5 out of 5 | elapsed: 47.0s finished\n", "\u001b[32m[I 2024-05-01 23:14:42,881]\u001b[0m Trial 99 finished with value: -0.05962280281810425 and parameters: {'gamma': 0.45838422492658026, 'max_depth': 8, 'subsample': 0.5395021435815217, 'n_estimators': 400, 'min_child_weight': 3, 'colsample_bytree': 0.9040522267042321, 'learning_rate': 0.003811039482538483}. Best is trial 22 with value: -0.022019310926042646.\u001b[0m\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "FrozenTrial(number=22, values=[-0.022019310926042646], datetime_start=datetime.datetime(2024, 5, 1, 22, 20, 22, 210798), datetime_complete=datetime.datetime(2024, 5, 1, 22, 21, 2, 677866), params={'gamma': 0.3484025318375001, 'max_depth': 4, 'subsample': 0.6230862937295858, 'n_estimators': 650, 'min_child_weight': 7, 'colsample_bytree': 0.777126613189779, 'learning_rate': 0.007020575494601785}, distributions={'gamma': UniformDistribution(high=1.0, low=0.01), 'max_depth': IntUniformDistribution(high=20, low=2, step=1), 'subsample': UniformDistribution(high=1.0, low=0.05), 'n_estimators': IntUniformDistribution(high=1000, low=100, step=1), 'min_child_weight': IntUniformDistribution(high=20, low=2, step=1), 'colsample_bytree': UniformDistribution(high=1.0, low=0.05), 'learning_rate': LogUniformDistribution(high=0.1, low=0.001)}, user_attrs={}, system_attrs={}, intermediate_values={}, trial_id=22, state=TrialState.COMPLETE, value=None)\n" ] } ], "source": [ "import xgboost\n", "#test if I don't use target transform\n", "def objective(trial):\n", " \n", "\n", " xgb_param = {\n", " \n", " 'eval_metric': 'rmse',\n", " 'random_state': 42,\n", " 'objective': 'reg:squarederror',\n", " 'gamma': trial.suggest_float(\"gamma\", 1e-2, 1.0),\n", " 'max_depth': trial.suggest_int('max_depth',2, 20),\n", " 'subsample': trial.suggest_float(\"subsample\", 0.05, 1.0),\n", " 'n_estimators': trial.suggest_int('n_estimators',100, 1000),\n", " 'min_child_weight': trial.suggest_int('min_child_weight',2, 20),\n", " 'colsample_bytree': trial.suggest_float(\"colsample_bytree\", 0.05, 1.0),\n", " 'learning_rate': trial.suggest_float(\"learning_rate\", 1e-3, 0.1, log=True),\n", "\n", " }\n", "\n", " model = xgboost.XGBRegressor( **xgb_param)\n", "\n", " \n", " skf = StratifiedKFold(n_splits=5) \n", " \n", " cv_score = cross_val_score(model, x_train, y_train, n_jobs=4, cv=skf, scoring='neg_mean_squared_log_error',verbose=1, error_score='raise')\n", "\n", " return cv_score.mean()\n", "\n", "\n", "\n", "study = optuna.create_study(direction=\"maximize\") # maximise the score during tuning\n", "study.optimize(objective, n_trials=100) # run the objective function 100 times\n", "\n", "print(study.best_trial) # print the best performing pipeline\n" ] }, { "cell_type": "code", "execution_count": 40, "metadata": {}, "outputs": [ { "data": { "text/html": [ "
XGBRegressor(base_score=None, booster=None, callbacks=None,\n",
       "             colsample_bylevel=None, colsample_bynode=None,\n",
       "             colsample_bytree=0.777126613189779, early_stopping_rounds=None,\n",
       "             enable_categorical=False, eval_metric=None, feature_types=None,\n",
       "             gamma=0.3484025318375001, gpu_id=None, grow_policy=None,\n",
       "             importance_type=None, interaction_constraints=None,\n",
       "             learning_rate=0.007020575494601785, max_bin=None,\n",
       "             max_cat_threshold=None, max_cat_to_onehot=None,\n",
       "             max_delta_step=None, max_depth=4, max_leaves=None,\n",
       "             min_child_weight=7, missing=nan, monotone_constraints=None,\n",
       "             n_estimators=650, n_jobs=None, num_parallel_tree=None,\n",
       "             predictor=None, random_state=None, ...)
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" ], "text/plain": [ "XGBRegressor(base_score=None, booster=None, callbacks=None,\n", " colsample_bylevel=None, colsample_bynode=None,\n", " colsample_bytree=0.777126613189779, early_stopping_rounds=None,\n", " enable_categorical=False, eval_metric=None, feature_types=None,\n", " gamma=0.3484025318375001, gpu_id=None, grow_policy=None,\n", " importance_type=None, interaction_constraints=None,\n", " learning_rate=0.007020575494601785, max_bin=None,\n", " max_cat_threshold=None, max_cat_to_onehot=None,\n", " max_delta_step=None, max_depth=4, max_leaves=None,\n", " min_child_weight=7, missing=nan, monotone_constraints=None,\n", " n_estimators=650, n_jobs=None, num_parallel_tree=None,\n", " predictor=None, random_state=None, ...)" ] }, "execution_count": 40, "metadata": {}, "output_type": "execute_result" } ], "source": [ "model = xgboost.XGBRegressor( **study.best_params)\n", "model.fit(x_train, y_train)\n", "\n" ] }, { "cell_type": "code", "execution_count": 43, "metadata": {}, "outputs": [], "source": [ "def get_submission(pipe1, X, y, x_test, df_test, file_name):\n", " pipe1.fit(X, y)\n", " y_predict = pipe1.predict(x_test)\n", " #create df \n", " df_final = pd.DataFrame()\n", " df_final['id'] = df_test.index\n", " df_final['Rings'] = pd.Series(y_predict)\n", " save_path = os.path.join(r\"D:\\data science data\\abalone\", f\"{file_name}.csv\")\n", " df_final.to_csv(save_path, index=False)\n", " return" ] }, { "cell_type": "code", "execution_count": 44, "metadata": {}, "outputs": [], "source": [ "get_submission(model, x_train, y_train, x_test, df_test, 'submission15_stacking_final')" ] } ], "metadata": { "kernelspec": { "display_name": "sklearn", "language": "python", "name": "python3" }, "language_info": { "codemirror_mode": { "name": "ipython", "version": 3 }, "file_extension": ".py", "mimetype": "text/x-python", "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", "version": "3.11.0" } }, "nbformat": 4, "nbformat_minor": 2 }