9954194 6892 Scikit-learn Bot 14967 Supervised Classification 8890 sklearn.pipeline.Pipeline(columntransformer=sklearn.compose._column_transformer.ColumnTransformer(numeric=sklearn.pipeline.Pipeline(imputer=sklearn.preprocessing.imputation.Imputer,standardscaler=sklearn.preprocessing.data.StandardScaler),nominal=sklearn.pipeline.Pipeline(simpleimputer=sklearn.impute.SimpleImputer,onehotencoder=sklearn.preprocessing._encoders.OneHotEncoder)),variancethreshold=sklearn.feature_selection.variance_threshold.VarianceThreshold,gradientboostingclassifier=sklearn.ensemble.gradient_boosting.GradientBoostingClassifier)(3) 7882107 memory null 8890 n_jobs null 8891 remainder "passthrough" 8891 sparse_threshold 0.3 8891 transformer_weights null 8891 memory null 8892 axis 0 8893 copy true 8893 missing_values "NaN" 8893 strategy "most_frequent" 8893 verbose 0 8893 copy true 8894 with_mean true 8894 with_std true 8894 memory null 8895 copy true 8896 fill_value -1 8896 missing_values NaN 8896 strategy "constant" 8896 verbose 0 8896 categorical_features null 8897 categories null 8897 dtype {"oml-python:serialized_object": "type", "value": "np.float64"} 8897 handle_unknown "ignore" 8897 n_values null 8897 sparse true 8897 threshold 0.0 8898 criterion "friedman_mse" 8899 init null 8899 learning_rate 0.20629624606322097 8899 loss "deviance" 8899 max_depth 2 8899 max_features 0.5011696086178907 8899 max_leaf_nodes null 8899 min_impurity_decrease 0.04700356629896518 8899 min_impurity_split null 8899 min_samples_leaf 16 8899 min_samples_split 10 8899 min_weight_fraction_leaf 0.14072333145607968 8899 n_estimators 130 8899 n_iter_no_change 867 8899 presort "auto" 8899 random_state 23150 8899 subsample 0.461733798438573 8899 tol 2.2502946336482954e-05 8899 validation_fraction 0.3815510804132166 8899 verbose 0 8899 warm_start false 8899 openml-python Sklearn_0.20.2. 23380 cjs https://www.openml.org/data/download/1910442/phpDAC5gS -1 20828903 description https://api.openml.org/data/download/20828903/description.xml -1 20828904 predictions https://api.openml.org/data/download/20828904/predictions.arff area_under_roc_curve 0.7050598938200223 [0.665315,0.644816,0.703283,0.60378,0.857729,0.826205] average_cost 0 f_measure 0.3181174733821359 [0.310526,0.102564,0.455682,0.169312,0.5,0.263636] kappa 0.19283201642306502 kb_relative_information_score 599.6066964470617 mean_absolute_error 0.24399473028843408 mean_prior_absolute_error 0.27287997162595995 number_of_instances 2796 [576,341,680,511,414,274] precision 0.3287621786831985 [0.31383,0.25,0.361519,0.261224,0.430314,0.349398] predictive_accuracy 0.3530042918454936 prior_entropy 2.5206634795042744 recall 0.3530042918454936 [0.307292,0.064516,0.616176,0.125245,0.596618,0.211679] relative_absolute_error 0.8941467152557488 root_mean_prior_squared_error 0.3693707377543301 root_mean_squared_error 0.35093399375195367 root_relative_squared_error 0.9500860731024158 total_cost 0 area_under_roc_curve 0.6998071046531354 [0.689306,0.601447,0.725375,0.583098,0.792326,0.856009] area_under_roc_curve 0.7333166045937898 [0.674045,0.655368,0.724403,0.663199,0.887386,0.874504] area_under_roc_curve 0.7239048368420741 [0.757106,0.639945,0.705709,0.60232,0.879477,0.794926] area_under_roc_curve 0.7122673658794051 [0.681695,0.595528,0.735502,0.637255,0.834677,0.818311] area_under_roc_curve 0.7054025217290966 [0.655483,0.728001,0.674424,0.572706,0.881672,0.850095] area_under_roc_curve 0.6796405535249186 [0.642047,0.645306,0.6798,0.577104,0.808348,0.802738] area_under_roc_curve 0.7029703686119056 [0.60633,0.641837,0.713096,0.638502,0.905114,0.7658] area_under_roc_curve 0.7003178466831245 [0.667971,0.671729,0.698042,0.564757,0.834037,0.858392] area_under_roc_curve 0.700570256836029 [0.619725,0.606723,0.722888,0.587547,0.915863,0.811802] area_under_roc_curve 0.711952004628178 [0.665007,0.696158,0.682255,0.62887,0.855887,0.838771] average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 f_measure 0.3042153746816071 [0.294737,0.139535,0.491979,0.214286,0.346154,0.170213] f_measure 0.34147987453361733 [0.368421,0.046512,0.45614,0.2,0.516129,0.367347] f_measure 0.3115324405809319 [0.244444,0.046512,0.457944,0.231884,0.54,0.227273] f_measure 0.2955409758330449 [0.311927,0.046512,0.490566,0.09375,0.449438,0.232558] f_measure 0.340793833475997 [0.288462,0.291667,0.42487,0.235294,0.505495,0.25641] f_measure 0.28401240694650365 [0.369748,0.097561,0.459016,0.029851,0.415094,0.181818] f_measure 0.3456062008710539 [0.241935,0.177778,0.421769,0.294118,0.666667,0.181818] f_measure 0.2861476516662527 [0.242991,0.047619,0.437811,0.119403,0.469388,0.325581] f_measure 0.33348719089306633 [0.338235,0.047619,0.487805,0.09375,0.594595,0.341463] f_measure 0.303579310179253 [0.366197,0.051282,0.419162,0.0625,0.5,0.347826] kappa 0.17409369152209075 kappa 0.21499057545182398 kappa 0.19840063974410235 kappa 0.18193055399483088 kappa 0.20020425749210097 kappa 0.1674616803409018 kappa 0.21106309970134077 kappa 0.15951671365283931 kappa 0.23340628444543843 kappa 0.18731794756889986 kb_relative_information_score 55.39535877808637 kb_relative_information_score 65.90607742655534 kb_relative_information_score 61.57988194934 kb_relative_information_score 58.42979875424478 kb_relative_information_score 58.28140823641381 kb_relative_information_score 56.99623960241991 kb_relative_information_score 61.05464802850852 kb_relative_information_score 57.12569922098774 kb_relative_information_score 62.77276536053221 kb_relative_information_score 62.06481908997538 mean_absolute_error 0.24700179629173544 mean_absolute_error 0.24086940681274802 mean_absolute_error 0.24279672318593606 mean_absolute_error 0.2449002948400068 mean_absolute_error 0.2446972997137193 mean_absolute_error 0.2460765775219307 mean_absolute_error 0.24177382247357607 mean_absolute_error 0.2458467599603595 mean_absolute_error 0.2429191536629079 mean_absolute_error 0.2430569604764991 mean_prior_absolute_error 0.272904982835389 mean_prior_absolute_error 0.272904982835389 mean_prior_absolute_error 0.272904982835389 mean_prior_absolute_error 0.272904982835389 mean_prior_absolute_error 0.272804289453111 mean_prior_absolute_error 0.27287651677373237 mean_prior_absolute_error 0.2728747259382053 mean_prior_absolute_error 0.2728747259382053 mean_prior_absolute_error 0.2728747259382053 mean_prior_absolute_error 0.2728747259382053 number_of_instances 280 [58,34,68,51,41,28] number_of_instances 280 [58,34,68,51,41,28] number_of_instances 280 [58,34,68,51,41,28] number_of_instances 280 [58,34,68,51,41,28] number_of_instances 280 [58,34,68,52,41,27] number_of_instances 280 [58,35,68,51,41,27] number_of_instances 279 [57,34,68,51,42,27] number_of_instances 279 [57,34,68,51,42,27] number_of_instances 279 [57,34,68,51,42,27] number_of_instances 279 [57,34,68,51,42,27] precision 0.3252968108231266 [0.378378,0.333333,0.386555,0.272727,0.285714,0.210526] precision 0.33559877959149803 [0.375,0.111111,0.378641,0.230769,0.461538,0.428571] precision 0.34541633613239425 [0.34375,0.111111,0.335616,0.444444,0.457627,0.3125] precision 0.3066163003663004 [0.333333,0.111111,0.361111,0.230769,0.416667,0.333333] precision 0.3717307829851308 [0.326087,0.5,0.328,0.30303,0.46,0.416667] precision 0.28870302255586155 [0.360656,0.333333,0.365217,0.0625,0.338462,0.235294] precision 0.35143442567255934 [0.223881,0.363636,0.392405,0.294118,0.592593,0.235294] precision 0.2988485326218772 [0.26,0.125,0.330827,0.25,0.410714,0.4375] precision 0.3388331804056057 [0.291139,0.125,0.416667,0.230769,0.478261,0.5] precision 0.3067875316584179 [0.305882,0.2,0.353535,0.153846,0.431034,0.421053] predictive_accuracy 0.3357142857142857 predictive_accuracy 0.3678571428571428 predictive_accuracy 0.3607142857142857 predictive_accuracy 0.35 predictive_accuracy 0.3607142857142857 predictive_accuracy 0.33214285714285713 predictive_accuracy 0.36200716845878134 predictive_accuracy 0.3297491039426523 predictive_accuracy 0.3835125448028674 predictive_accuracy 0.3476702508960574 prior_entropy 2.5206634795042744 prior_entropy 2.5206634795042744 prior_entropy 2.5206634795042744 prior_entropy 2.5206634795042744 prior_entropy 2.5206634795042744 prior_entropy 2.5206634795042744 prior_entropy 2.5206634795042744 prior_entropy 2.5206634795042744 prior_entropy 2.5206634795042744 prior_entropy 2.5206634795042744 recall 0.3357142857142857 [0.241379,0.088235,0.676471,0.176471,0.439024,0.142857] recall 0.3678571428571429 [0.362069,0.029412,0.573529,0.176471,0.585366,0.321429] recall 0.3607142857142857 [0.189655,0.029412,0.720588,0.156863,0.658537,0.178571] recall 0.35 [0.293103,0.029412,0.764706,0.058824,0.487805,0.178571] recall 0.3607142857142857 [0.258621,0.205882,0.602941,0.192308,0.560976,0.185185] recall 0.33214285714285713 [0.37931,0.057143,0.617647,0.019608,0.536585,0.148148] recall 0.36200716845878134 [0.263158,0.117647,0.455882,0.294118,0.761905,0.148148] recall 0.32974910394265233 [0.22807,0.029412,0.647059,0.078431,0.547619,0.259259] recall 0.3835125448028674 [0.403509,0.029412,0.588235,0.058824,0.785714,0.259259] recall 0.34767025089605735 [0.45614,0.029412,0.514706,0.039216,0.595238,0.296296] relative_absolute_error 0.9050834972871203 relative_absolute_error 0.8826127112454951 relative_absolute_error 0.8896749361750803 relative_absolute_error 0.8973830096305933 relative_absolute_error 0.8969701327067194 relative_absolute_error 0.901787300832398 relative_absolute_error 0.8860249759016807 relative_absolute_error 0.9009510100837756 relative_absolute_error 0.8902222542879217 relative_absolute_error 0.8907272728935012 root_mean_prior_squared_error 0.36940459271455434 root_mean_prior_squared_error 0.36940459271455434 root_mean_prior_squared_error 0.36940459271455434 root_mean_prior_squared_error 0.36940459271455434 root_mean_prior_squared_error 0.36926827610333357 root_mean_prior_squared_error 0.36936606105183667 root_mean_prior_squared_error 0.3693636368423697 root_mean_prior_squared_error 0.3693636368423697 root_mean_prior_squared_error 0.3693636368423697 root_mean_prior_squared_error 0.3693636368423697 root_mean_squared_error 0.35566866125241564 root_mean_squared_error 0.3475894420370896 root_mean_squared_error 0.34868454599324494 root_mean_squared_error 0.3501102929195328 root_mean_squared_error 0.3514002413296267 root_mean_squared_error 0.3564040777433286 root_mean_squared_error 0.3477272075892642 root_mean_squared_error 0.35320976123079423 root_mean_squared_error 0.3490793026787483 root_mean_squared_error 0.3493211732439669 root_relative_squared_error 0.9628160241289889 root_relative_squared_error 0.9409451016373213 root_relative_squared_error 0.94390961257669 root_relative_squared_error 0.9477691935196632 root_relative_squared_error 0.9516123210954988 root_relative_squared_error 0.964907486974855 root_relative_squared_error 0.9414224165700991 root_relative_squared_error 0.9562656580120545 root_relative_squared_error 0.9450830235021809 root_relative_squared_error 0.9457378539757118 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 usercpu_time_millis 1791.1327259935206 usercpu_time_millis 1780.134247004753 usercpu_time_millis 1773.055501995259 usercpu_time_millis 1772.377174012945 usercpu_time_millis 1777.915478000068 usercpu_time_millis 1769.6013700042386 usercpu_time_millis 1779.4940029998543 usercpu_time_millis 1779.2112299939618 usercpu_time_millis 1781.6755569801899 usercpu_time_millis 1771.7547509964788 usercpu_time_millis_testing 9.752543002832681 usercpu_time_millis_testing 9.904569000354968 usercpu_time_millis_testing 9.744982002303004 usercpu_time_millis_testing 9.954615001333877 usercpu_time_millis_testing 9.805699999560602 usercpu_time_millis_testing 9.76488100423012 usercpu_time_millis_testing 10.22410900623072 usercpu_time_millis_testing 9.898405987769365 usercpu_time_millis_testing 9.889212989946827 usercpu_time_millis_testing 9.878697994281538 usercpu_time_millis_training 1781.380182990688 usercpu_time_millis_training 1770.229678004398 usercpu_time_millis_training 1763.310519992956 usercpu_time_millis_training 1762.4225590116112 usercpu_time_millis_training 1768.1097780005075 usercpu_time_millis_training 1759.8364890000084 usercpu_time_millis_training 1769.2698939936236 usercpu_time_millis_training 1769.3128240061924 usercpu_time_millis_training 1771.786343990243 usercpu_time_millis_training 1761.8760530021973