10586517 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) 8302799 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 "most_frequent" 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 0.15137300119180372 19040 loss "deviance" 19040 max_depth 3 19040 max_features null 19040 max_leaf_nodes 2025 19040 min_impurity_decrease 0.0 19040 min_samples_leaf 66 19040 min_samples_split 2 19040 min_weight_fraction_leaf 0.0 19040 n_estimators 100 19040 n_iter_no_change 4 19040 random_state 25761 19040 subsample 1.0 19040 tol 0.0001 19040 validation_fraction 0.26362603401043827 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 22099304 description https://api.openml.org/data/download/22099304/description.xml -1 22099305 predictions https://api.openml.org/data/download/22099305/predictions.arff area_under_roc_curve 0.8327246091602688 [0.781565,0.802759,0.82515,0.780995,0.804748,0.881791] average_cost 0 f_measure 0.5503277887693844 [0.447705,0.320924,0.428571,0.358925,0.384416,0.760173] kappa 0.40334695460977577 kb_relative_information_score 0.3453369610068645 mean_absolute_error 0.1880950310950921 mean_prior_absolute_error 0.2507645736611627 weighted_recall 0.5714285714285714 [0.434343,0.257202,0.393048,0.303079,0.355769,0.859436] number_of_instances 6118 [1089,486,748,617,624,2554] precision 0.5452123766156945 [0.461914,0.426621,0.471154,0.44,0.418079,0.681465] predictive_accuracy 0.5714285714285715 prior_entropy 2.3000072984859514 relative_absolute_error 0.7500861399555155 root_mean_prior_squared_error 0.35407492669342416 root_mean_squared_error 0.3057323152893849 root_relative_squared_error 0.8634678488660771 total_cost 0 unweighted_recall 0.43381300577008536 [0.434343,0.257202,0.393048,0.303079,0.355769,0.859436] area_under_roc_curve 0.8410384887492646 [0.783929,0.776411,0.833718,0.772933,0.834634,0.897658] area_under_roc_curve 0.8380946958576901 [0.805734,0.821568,0.867412,0.812361,0.775826,0.868056] area_under_roc_curve 0.8285393247383362 [0.759498,0.790046,0.801552,0.777243,0.806502,0.891031] area_under_roc_curve 0.8444572079466942 [0.798895,0.832802,0.84288,0.800792,0.773988,0.894387] area_under_roc_curve 0.8131295435856887 [0.752868,0.782253,0.789385,0.764252,0.818842,0.8623] area_under_roc_curve 0.8353115521196826 [0.780063,0.746692,0.835642,0.792581,0.811848,0.891954] area_under_roc_curve 0.8263176460546079 [0.812127,0.784554,0.821577,0.770557,0.788196,0.864629] area_under_roc_curve 0.8408052217742941 [0.753142,0.847917,0.848318,0.792345,0.833739,0.887827] area_under_roc_curve 0.8323729281720798 [0.795652,0.859273,0.802214,0.745663,0.802853,0.87961] area_under_roc_curve 0.8311931742332372 [0.777139,0.796181,0.817077,0.784024,0.807757,0.881861] 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 0.5631943522050452 [0.470588,0.324324,0.374101,0.37931,0.431034,0.77913] f_measure 0.5859781612811306 [0.533937,0.309859,0.522388,0.419048,0.428571,0.758377] f_measure 0.53540066957976 [0.369231,0.232558,0.470588,0.391753,0.318182,0.771626] f_measure 0.550038505115863 [0.448598,0.282051,0.466667,0.265306,0.424242,0.769231] f_measure 0.5290741103612963 [0.368664,0.409639,0.378788,0.42,0.344828,0.736111] f_measure 0.552924735439243 [0.433962,0.293333,0.446043,0.366972,0.372881,0.774081] f_measure 0.5519904168508348 [0.506787,0.333333,0.372093,0.366972,0.385321,0.751748] f_measure 0.5492180109646623 [0.421053,0.351351,0.411765,0.388889,0.376068,0.762069] f_measure 0.5367222003318123 [0.457944,0.342105,0.437956,0.265306,0.342342,0.74744] f_measure 0.5470791665628192 [0.456311,0.333333,0.4,0.313725,0.432432,0.752137] kappa 0.4215286529764994 kappa 0.45044565651190627 kappa 0.3854556503308903 kappa 0.40717413988488155 kappa 0.37043584182536626 kappa 0.40900631574273794 kappa 0.4059309097914845 kappa 0.4008108017556203 kappa 0.38465354162047594 kappa 0.3974200806224806 kb_relative_information_score 0.34976688910006276 kb_relative_information_score 0.3627540267692032 kb_relative_information_score 0.3307025847966918 kb_relative_information_score 0.35145289150127146 kb_relative_information_score 0.33801085557877997 kb_relative_information_score 0.3448012489688084 kb_relative_information_score 0.34635075494633377 kb_relative_information_score 0.355237750463886 kb_relative_information_score 0.3297010832105483 kb_relative_information_score 0.34455912772265274 mean_absolute_error 0.18720357750608368 mean_absolute_error 0.18480959230103178 mean_absolute_error 0.18851667229932437 mean_absolute_error 0.1869416598825737 mean_absolute_error 0.1897467317498248 mean_absolute_error 0.1884438668809272 mean_absolute_error 0.18802623653204664 mean_absolute_error 0.18723722150224692 mean_absolute_error 0.19169250711014346 mean_absolute_error 0.18833852127526982 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 0.5581136049699357 [0.505263,0.461538,0.4,0.407407,0.471698,0.702194] precision 0.5871074740175067 [0.526786,0.478261,0.59322,0.511628,0.428571,0.689103] precision 0.5329425624024631 [0.413793,0.27027,0.52459,0.542857,0.304348,0.690402] precision 0.5471511319719568 [0.457143,0.37931,0.466667,0.361111,0.567568,0.681818] precision 0.5284353644173961 [0.37037,0.5,0.438596,0.552632,0.37037,0.660436] precision 0.5470869853868275 [0.446602,0.423077,0.484375,0.425532,0.392857,0.699367] precision 0.5465162851800526 [0.5,0.4,0.444444,0.425532,0.446809,0.678233] precision 0.5466320794244284 [0.44,0.52,0.459016,0.446809,0.4,0.682099] precision 0.5315987911340396 [0.466667,0.464286,0.483871,0.351351,0.387755,0.663636] precision 0.5425509996182604 [0.484536,0.433333,0.424242,0.390244,0.5,0.668693] predictive_accuracy 0.5833333333333334 predictive_accuracy 0.6029411764705883 predictive_accuracy 0.5571895424836601 predictive_accuracy 0.576797385620915 predictive_accuracy 0.5473856209150327 predictive_accuracy 0.5735294117647058 predictive_accuracy 0.5718954248366014 predictive_accuracy 0.5702614379084967 predictive_accuracy 0.5613747954173486 predictive_accuracy 0.5695581014729951 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 0.7467980809245921 relative_absolute_error 0.7367758235917218 relative_absolute_error 0.7513940948684418 relative_absolute_error 0.7452392194724822 relative_absolute_error 0.7564215828377563 relative_absolute_error 0.7512277378778621 relative_absolute_error 0.7495628627749916 relative_absolute_error 0.7469304394889376 relative_absolute_error 0.7649839991195632 relative_absolute_error 0.7515661740950214 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 0.3036654897233473 root_mean_squared_error 0.30209745503364716 root_mean_squared_error 0.30912519690168894 root_mean_squared_error 0.30299843433701273 root_mean_squared_error 0.31078255904681307 root_mean_squared_error 0.30503380958919535 root_mean_squared_error 0.30702706360432397 root_mean_squared_error 0.3041946377572882 root_mean_squared_error 0.30696407365366946 root_mean_squared_error 0.305324269209063 root_relative_squared_error 0.8579372823288122 root_relative_squared_error 0.8529605339854106 root_relative_squared_error 0.8726165748092842 root_relative_squared_error 0.8554625643720557 root_relative_squared_error 0.8774396656736125 root_relative_squared_error 0.8612090869126802 root_relative_squared_error 0.8668366875798514 root_relative_squared_error 0.8594301334348434 root_relative_squared_error 0.8675727809661414 root_relative_squared_error 0.8629001305914309 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 0.4447304050552053 [0.440367,0.25,0.351351,0.354839,0.396825,0.875] unweighted_recall 0.47727752169231114 [0.541284,0.229167,0.466667,0.354839,0.428571,0.843137] unweighted_recall 0.4130627304685315 [0.333333,0.204082,0.426667,0.306452,0.333333,0.87451] unweighted_recall 0.4270439121687937 [0.440367,0.22449,0.466667,0.209677,0.33871,0.882353] unweighted_recall 0.4233179095846684 [0.366972,0.346939,0.333333,0.33871,0.322581,0.831373] unweighted_recall 0.43398791656348834 [0.422018,0.22449,0.413333,0.322581,0.354839,0.866667] unweighted_recall 0.4373172218477999 [0.513761,0.285714,0.32,0.322581,0.33871,0.843137] unweighted_recall 0.4341152392187236 [0.40367,0.265306,0.373333,0.344262,0.354839,0.863281] unweighted_recall 0.4159016224564316 [0.449541,0.270833,0.4,0.213115,0.306452,0.855469] unweighted_recall 0.43050447253029417 [0.431193,0.270833,0.378378,0.262295,0.380952,0.859375] usercpu_time_millis 27099.248164002347 usercpu_time_millis 30123.67552700016 usercpu_time_millis 29834.890109003027 usercpu_time_millis 29947.571358999994 usercpu_time_millis 30056.76548200063 usercpu_time_millis 28906.947911000316 usercpu_time_millis 29918.14397499911 usercpu_time_millis 29921.746506999625 usercpu_time_millis 26076.241662998655 usercpu_time_millis 28144.486739998683 usercpu_time_millis_testing 15.8072970007197 usercpu_time_millis_testing 17.370961999404244 usercpu_time_millis_testing 18.294400000741007 usercpu_time_millis_testing 17.086676001781598 usercpu_time_millis_testing 17.474915999628138 usercpu_time_millis_testing 16.45541600009892 usercpu_time_millis_testing 16.42391000132193 usercpu_time_millis_testing 17.237694999494124 usercpu_time_millis_testing 15.360099998360965 usercpu_time_millis_testing 11.246377998759272 usercpu_time_millis_training 27083.440867001627 usercpu_time_millis_training 30106.304565000755 usercpu_time_millis_training 29816.595709002286 usercpu_time_millis_training 29930.484682998213 usercpu_time_millis_training 30039.290566001 usercpu_time_millis_training 28890.492495000217 usercpu_time_millis_training 29901.72006499779 usercpu_time_millis_training 29904.50881200013 usercpu_time_millis_training 26060.881563000294 usercpu_time_millis_training 28133.240361999924 wall_clock_time_millis 27669.79694366455 wall_clock_time_millis 30666.151762008667 wall_clock_time_millis 30374.79043006897 wall_clock_time_millis 30655.317306518555 wall_clock_time_millis 30678.40313911438 wall_clock_time_millis 29476.892232894897 wall_clock_time_millis 30533.047437667847 wall_clock_time_millis 30457.351207733154 wall_clock_time_millis 26524.406671524048 wall_clock_time_millis 28670.730113983154 wall_clock_time_millis_testing 15.81430435180664 wall_clock_time_millis_testing 17.390966415405273 wall_clock_time_millis_testing 18.298625946044922 wall_clock_time_millis_testing 17.604827880859375 wall_clock_time_millis_testing 19.968509674072266 wall_clock_time_millis_testing 16.479015350341797 wall_clock_time_millis_testing 16.55745506286621 wall_clock_time_millis_testing 26.633501052856445 wall_clock_time_millis_testing 15.364885330200195 wall_clock_time_millis_testing 11.250972747802734 wall_clock_time_millis_training 27653.982639312744 wall_clock_time_millis_training 30648.76079559326 wall_clock_time_millis_training 30356.491804122925 wall_clock_time_millis_training 30637.712478637695 wall_clock_time_millis_training 30658.434629440308 wall_clock_time_millis_training 29460.413217544556 wall_clock_time_millis_training 30516.48998260498 wall_clock_time_millis_training 30430.717706680298 wall_clock_time_millis_training 26509.041786193848 wall_clock_time_millis_training 28659.47914123535 weighted_recall 0.5833333333333334 [0.440367,0.25,0.351351,0.354839,0.396825,0.875] weighted_recall 0.6029411764705882 [0.541284,0.229167,0.466667,0.354839,0.428571,0.843137] weighted_recall 0.5571895424836601 [0.333333,0.204082,0.426667,0.306452,0.333333,0.87451] weighted_recall 0.576797385620915 [0.440367,0.22449,0.466667,0.209677,0.33871,0.882353] weighted_recall 0.5473856209150327 [0.366972,0.346939,0.333333,0.33871,0.322581,0.831373] weighted_recall 0.5735294117647058 [0.422018,0.22449,0.413333,0.322581,0.354839,0.866667] weighted_recall 0.5718954248366013 [0.513761,0.285714,0.32,0.322581,0.33871,0.843137] weighted_recall 0.5702614379084967 [0.40367,0.265306,0.373333,0.344262,0.354839,0.863281] weighted_recall 0.5613747954173486 [0.449541,0.270833,0.4,0.213115,0.306452,0.855469] weighted_recall 0.5695581014729951 [0.431193,0.270833,0.378378,0.262295,0.380952,0.859375]