10586559 28997 Marc Boel 9985 Supervised Classification 19039 sklearn.pipeline.Pipeline(columntransformer=sklearn.compose._column_transformer.ColumnTransformer(simpleimputer=sklearn.impute._base.SimpleImputer,onehotencoder=sklearn.preprocessing._encoders.OneHotEncoder),gradientboostingclassifier=sklearn.ensemble._gb.GradientBoostingClassifier)(2) 8302841 Python_3.7.12. Sklearn_1.0.1. NumPy_1.19.5. SciPy_1.4.1. n_jobs null 19031 remainder "drop" 19031 sparse_threshold 0.3 19031 transformer_weights null 19031 transformers [{"oml-python:serialized_object": "component_reference", "value": {"key": "simpleimputer", "step_name": "simpleimputer", "argument_1": {"oml-python:serialized_object": "function", "value": "openml.extensions.sklearn.cont"}}}, {"oml-python:serialized_object": "component_reference", "value": {"key": "onehotencoder", "step_name": "onehotencoder", "argument_1": {"oml-python:serialized_object": "function", "value": "openml.extensions.sklearn.cat"}}}] 19031 verbose false 19031 verbose_feature_names_out true 19031 add_indicator false 19032 copy true 19032 fill_value null 19032 missing_values NaN 19032 strategy "median" 19032 verbose 0 19032 categories "auto" 19033 drop null 19033 dtype {"oml-python:serialized_object": "type", "value": "np.float64"} 19033 handle_unknown "ignore" 19033 sparse true 19033 memory null 19039 steps [{"oml-python:serialized_object": "component_reference", "value": {"key": "columntransformer", "step_name": "columntransformer"}}, {"oml-python:serialized_object": "component_reference", "value": {"key": "gradientboostingclassifier", "step_name": "gradientboostingclassifier"}}] 19039 verbose false 19039 ccp_alpha 0.0 19040 criterion "friedman_mse" 19040 init null 19040 learning_rate 0.7525547124890117 19040 loss "deviance" 19040 max_depth 3 19040 max_features null 19040 max_leaf_nodes 1922 19040 min_impurity_decrease 0.0 19040 min_samples_leaf 39 19040 min_samples_split 2 19040 min_weight_fraction_leaf 0.0 19040 n_estimators 100 19040 n_iter_no_change 13 19040 random_state 62545 19040 subsample 1.0 19040 tol 0.0001 19040 validation_fraction 0.3584843725843474 19040 verbose 0 19040 warm_start false 19040 openml-python Sklearn_1.0.1. 1475 first-order-theorem-proving https://www.openml.org/data/download/1587932/phpPbCMyg -1 22099389 description https://api.openml.org/data/download/22099389/description.xml -1 22099390 predictions https://api.openml.org/data/download/22099390/predictions.arff area_under_roc_curve 0.8152689113405834 [0.752894,0.773571,0.807588,0.748692,0.781275,0.876438] average_cost 0 f_measure 0.5391166025798462 [0.429043,0.318772,0.388928,0.360036,0.356048,0.759957] kappa 0.3883149348835224 kb_relative_information_score 0.3629288348790589 mean_absolute_error 0.18014707466149693 mean_prior_absolute_error 0.2507645736611627 weighted_recall 0.5542661000326904 [0.417815,0.277778,0.36631,0.324149,0.334936,0.829287] number_of_instances 6118 [1089,486,748,617,624,2554] precision 0.5312258677191871 [0.440891,0.373961,0.414523,0.404858,0.38,0.701325] predictive_accuracy 0.5542661000326904 prior_entropy 2.3000072984859514 relative_absolute_error 0.7183912465439184 root_mean_prior_squared_error 0.35407492669342416 root_mean_squared_error 0.3157595280778935 root_relative_squared_error 0.8917873146982077 total_cost 0 unweighted_recall 0.42504580754679955 [0.417815,0.277778,0.36631,0.324149,0.334936,0.829287] area_under_roc_curve 0.8209088765280733 [0.755039,0.747562,0.820155,0.728372,0.775277,0.896567] area_under_roc_curve 0.8275931157114212 [0.783063,0.811115,0.828256,0.770894,0.765316,0.878706] area_under_roc_curve 0.8139536708356778 [0.75383,0.743575,0.821639,0.744589,0.758334,0.881287] area_under_roc_curve 0.8208663234756566 [0.763328,0.754613,0.830242,0.765513,0.77827,0.87925] area_under_roc_curve 0.8065179264683305 [0.717949,0.773082,0.780695,0.747727,0.835293,0.865695] area_under_roc_curve 0.8114020123451616 [0.721305,0.764309,0.808243,0.779633,0.775821,0.876267] area_under_roc_curve 0.8113544445926444 [0.782479,0.769747,0.791943,0.763607,0.745469,0.86503] area_under_roc_curve 0.8204786183445413 [0.733334,0.811995,0.827511,0.746378,0.819487,0.875044] area_under_roc_curve 0.8153667876635865 [0.752851,0.830336,0.791356,0.724993,0.766746,0.879522] area_under_roc_curve 0.8088401416022912 [0.766987,0.7495,0.788225,0.720864,0.802992,0.866148] 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 0.5605836003192479 [0.445498,0.275,0.407895,0.365217,0.352,0.805915] f_measure 0.5574172885692809 [0.471154,0.337349,0.380282,0.444444,0.393443,0.755793] f_measure 0.5254715066098117 [0.359447,0.304348,0.38806,0.343434,0.366412,0.76225] f_measure 0.5301630065681312 [0.456853,0.263736,0.43662,0.295652,0.386555,0.732143] f_measure 0.5364618106334779 [0.392694,0.309524,0.335878,0.438596,0.321429,0.776596] f_measure 0.5310099291386902 [0.40553,0.309524,0.394366,0.345455,0.336283,0.759857] f_measure 0.5422082161617996 [0.493274,0.361446,0.328571,0.353982,0.385321,0.744604] f_measure 0.5519293248958526 [0.435185,0.337349,0.456693,0.36036,0.392857,0.754783] f_measure 0.5335372663826989 [0.420561,0.404494,0.383562,0.350877,0.245283,0.76311] f_measure 0.5223720806702156 [0.41206,0.282051,0.379085,0.303571,0.368,0.745946] kappa 0.41897190233579495 kappa 0.4114715047586887 kappa 0.37054948902553775 kappa 0.3751765627172727 kappa 0.3869180907483795 kappa 0.37818794038785314 kappa 0.39191775498082465 kappa 0.4027628839967198 kappa 0.38135661616346894 kappa 0.36583854120822695 kb_relative_information_score 0.3734238461268625 kb_relative_information_score 0.3851677429848118 kb_relative_information_score 0.35346201990135073 kb_relative_information_score 0.36089176238434084 kb_relative_information_score 0.3546586283598389 kb_relative_information_score 0.35791587180927187 kb_relative_information_score 0.3642586841593768 kb_relative_information_score 0.36894692721623024 kb_relative_information_score 0.36096035863777537 kb_relative_information_score 0.3495786884282465 mean_absolute_error 0.17620896102194997 mean_absolute_error 0.1753654962108668 mean_absolute_error 0.18019378520281168 mean_absolute_error 0.180754093883438 mean_absolute_error 0.18249309676287342 mean_absolute_error 0.18078627182126422 mean_absolute_error 0.1806044755909898 mean_absolute_error 0.180110288896527 mean_absolute_error 0.17992097999147513 mean_absolute_error 0.18504092428334792 mean_prior_absolute_error 0.25067495791407446 mean_prior_absolute_error 0.25083558171073006 mean_prior_absolute_error 0.25088921191526126 mean_prior_absolute_error 0.25084785528987646 mean_prior_absolute_error 0.25084785528987646 mean_prior_absolute_error 0.25084785528987646 mean_prior_absolute_error 0.25084785528987646 mean_prior_absolute_error 0.25067558048692967 mean_prior_absolute_error 0.25058368192114683 mean_prior_absolute_error 0.25059472840439195 number_of_instances 612 [109,48,74,62,63,256] number_of_instances 612 [109,48,75,62,63,255] number_of_instances 612 [108,49,75,62,63,255] number_of_instances 612 [109,49,75,62,62,255] number_of_instances 612 [109,49,75,62,62,255] number_of_instances 612 [109,49,75,62,62,255] number_of_instances 612 [109,49,75,62,62,255] number_of_instances 612 [109,49,75,61,62,256] number_of_instances 611 [109,48,75,61,62,256] number_of_instances 611 [109,48,74,61,63,256] precision 0.553715959005736 [0.460784,0.34375,0.397436,0.396226,0.354839,0.764912] precision 0.5523120701702628 [0.494949,0.4,0.402985,0.521739,0.40678,0.69281] precision 0.5217001314230036 [0.357798,0.325581,0.440678,0.459459,0.352941,0.709459] precision 0.5240815487522548 [0.511364,0.285714,0.462687,0.320755,0.403509,0.672131] precision 0.527988928547181 [0.390909,0.371429,0.392857,0.480769,0.36,0.708738] precision 0.5228860105490332 [0.407407,0.371429,0.41791,0.395833,0.372549,0.69967] precision 0.5361521724677853 [0.482456,0.441176,0.353846,0.392157,0.446809,0.687708] precision 0.5485393773938151 [0.439252,0.411765,0.557692,0.4,0.44,0.680251] precision 0.5246710717667585 [0.428571,0.439024,0.394366,0.377358,0.295455,0.710438] precision 0.5161295954560047 [0.455556,0.366667,0.367089,0.333333,0.370968,0.692308] predictive_accuracy 0.5718954248366014 predictive_accuracy 0.5718954248366014 predictive_accuracy 0.5392156862745098 predictive_accuracy 0.5441176470588236 predictive_accuracy 0.5555555555555556 predictive_accuracy 0.5473856209150327 predictive_accuracy 0.5571895424836601 predictive_accuracy 0.5702614379084967 predictive_accuracy 0.5482815057283142 predictive_accuracy 0.5368248772504092 prior_entropy 2.2982053906988225 prior_entropy 2.3010980143383097 prior_entropy 2.3029972536480843 prior_entropy 2.301686142471426 prior_entropy 2.301686142471426 prior_entropy 2.301686142471426 prior_entropy 2.301686142471426 prior_entropy 2.2983403180467192 prior_entropy 2.2961240491639523 prior_entropy 2.2965513970017746 relative_absolute_error 0.702938029742685 relative_absolute_error 0.6991252796547132 relative_absolute_error 0.7182205397642717 relative_absolute_error 0.7205726103360978 relative_absolute_error 0.7275051108249931 relative_absolute_error 0.7207008870470508 relative_absolute_error 0.719976159980661 relative_absolute_error 0.7184995385137565 relative_absolute_error 0.7180075678195691 relative_absolute_error 0.7384070904506101 root_mean_prior_squared_error 0.35394835494159665 root_mean_prior_squared_error 0.3541751851309153 root_mean_prior_squared_error 0.3542508884492025 root_mean_prior_squared_error 0.3541925116962025 root_mean_prior_squared_error 0.3541925116962025 root_mean_prior_squared_error 0.3541925116962025 root_mean_prior_squared_error 0.3541925116962025 root_mean_prior_squared_error 0.3539492344090008 root_mean_prior_squared_error 0.3538193917423618 root_mean_prior_squared_error 0.35383500173976573 root_mean_squared_error 0.31655885472859724 root_mean_squared_error 0.3084409328525575 root_mean_squared_error 0.31879706992602025 root_mean_squared_error 0.31594284406262 root_mean_squared_error 0.31919378281612154 root_mean_squared_error 0.31992627600167783 root_mean_squared_error 0.3162378303322307 root_mean_squared_error 0.3114032317067629 root_mean_squared_error 0.31392975247315263 root_mean_squared_error 0.3169789948392292 root_relative_squared_error 0.8943645317431441 root_relative_squared_error 0.8708710993926556 root_relative_squared_error 0.8999189001941879 root_relative_squared_error 0.8920088190165072 root_relative_squared_error 0.9011872704127071 root_relative_squared_error 0.9032553355506413 root_relative_squared_error 0.8928416606488669 root_relative_squared_error 0.8797963138039323 root_relative_squared_error 0.887259883996818 root_relative_squared_error 0.8958384367874297 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 unweighted_recall 0.436459462126958 [0.431193,0.229167,0.418919,0.33871,0.349206,0.851562] unweighted_recall 0.45010494253931227 [0.449541,0.291667,0.36,0.387097,0.380952,0.831373] unweighted_recall 0.4120279007660412 [0.361111,0.285714,0.346667,0.274194,0.380952,0.823529] unweighted_recall 0.4200263646940477 [0.412844,0.244898,0.413333,0.274194,0.370968,0.803922] unweighted_recall 0.417584464189148 [0.394495,0.265306,0.293333,0.403226,0.290323,0.858824] unweighted_recall 0.41443082589650243 [0.40367,0.265306,0.373333,0.306452,0.306452,0.831373] unweighted_recall 0.4317385500120932 [0.504587,0.306122,0.306667,0.322581,0.33871,0.811765] unweighted_recall 0.43898957084464113 [0.431193,0.285714,0.386667,0.327869,0.354839,0.847656] unweighted_recall 0.42049039864073934 [0.412844,0.375,0.373333,0.327869,0.209677,0.824219] unweighted_recall 0.40826116453648553 [0.376147,0.229167,0.391892,0.278689,0.365079,0.808594] usercpu_time_millis 9215.643538998847 usercpu_time_millis 7147.6461309976 usercpu_time_millis 7412.911722996796 usercpu_time_millis 7946.585169000173 usercpu_time_millis 6632.301158999326 usercpu_time_millis 7155.63421099796 usercpu_time_millis 7696.089712000685 usercpu_time_millis 5840.63624600094 usercpu_time_millis 6351.764213999559 usercpu_time_millis 5577.9221010016045 usercpu_time_millis_testing 12.08267100082594 usercpu_time_millis_testing 10.659057999873767 usercpu_time_millis_testing 10.64929699714412 usercpu_time_millis_testing 10.797596001793863 usercpu_time_millis_testing 10.070237000036286 usercpu_time_millis_testing 10.62440999885439 usercpu_time_millis_testing 10.877799999434501 usercpu_time_millis_testing 10.319223001715727 usercpu_time_millis_testing 10.3796430012153 usercpu_time_millis_testing 6.845393003459321 usercpu_time_millis_training 9203.560867998021 usercpu_time_millis_training 7136.9870729977265 usercpu_time_millis_training 7402.262425999652 usercpu_time_millis_training 7935.787572998379 usercpu_time_millis_training 6622.230921999289 usercpu_time_millis_training 7145.009800999105 usercpu_time_millis_training 7685.21191200125 usercpu_time_millis_training 5830.317022999225 usercpu_time_millis_training 6341.384570998343 usercpu_time_millis_training 5571.076707998145 wall_clock_time_millis 9448.741436004639 wall_clock_time_millis 7315.197706222534 wall_clock_time_millis 7563.542127609253 wall_clock_time_millis 8104.849338531494 wall_clock_time_millis 6786.891937255859 wall_clock_time_millis 7288.1224155426025 wall_clock_time_millis 7821.745157241821 wall_clock_time_millis 6013.054132461548 wall_clock_time_millis 6462.526559829712 wall_clock_time_millis 5693.458318710327 wall_clock_time_millis_testing 12.090444564819336 wall_clock_time_millis_testing 10.666131973266602 wall_clock_time_millis_testing 10.656118392944336 wall_clock_time_millis_testing 10.804414749145508 wall_clock_time_millis_testing 10.075092315673828 wall_clock_time_millis_testing 10.632991790771484 wall_clock_time_millis_testing 11.212587356567383 wall_clock_time_millis_testing 10.349273681640625 wall_clock_time_millis_testing 10.385751724243164 wall_clock_time_millis_testing 6.850004196166992 wall_clock_time_millis_training 9436.65099143982 wall_clock_time_millis_training 7304.531574249268 wall_clock_time_millis_training 7552.886009216309 wall_clock_time_millis_training 8094.044923782349 wall_clock_time_millis_training 6776.816844940186 wall_clock_time_millis_training 7277.489423751831 wall_clock_time_millis_training 7810.532569885254 wall_clock_time_millis_training 6002.704858779907 wall_clock_time_millis_training 6452.140808105469 wall_clock_time_millis_training 5686.60831451416 weighted_recall 0.5718954248366013 [0.431193,0.229167,0.418919,0.33871,0.349206,0.851562] weighted_recall 0.5718954248366013 [0.449541,0.291667,0.36,0.387097,0.380952,0.831373] weighted_recall 0.5392156862745098 [0.361111,0.285714,0.346667,0.274194,0.380952,0.823529] weighted_recall 0.5441176470588235 [0.412844,0.244898,0.413333,0.274194,0.370968,0.803922] weighted_recall 0.5555555555555556 [0.394495,0.265306,0.293333,0.403226,0.290323,0.858824] weighted_recall 0.5473856209150327 [0.40367,0.265306,0.373333,0.306452,0.306452,0.831373] weighted_recall 0.5571895424836601 [0.504587,0.306122,0.306667,0.322581,0.33871,0.811765] weighted_recall 0.5702614379084967 [0.431193,0.285714,0.386667,0.327869,0.354839,0.847656] weighted_recall 0.5482815057283142 [0.412844,0.375,0.373333,0.327869,0.209677,0.824219] weighted_recall 0.5368248772504092 [0.376147,0.229167,0.391892,0.278689,0.365079,0.808594]