10586535 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) 8302817 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 0.7859469789513331 19040 loss "deviance" 19040 max_depth 3 19040 max_features null 19040 max_leaf_nodes 1413 19040 min_impurity_decrease 0.0 19040 min_samples_leaf 88 19040 min_samples_split 2 19040 min_weight_fraction_leaf 0.0 19040 n_estimators 100 19040 n_iter_no_change 11 19040 random_state 57554 19040 subsample 1.0 19040 tol 0.0001 19040 validation_fraction 0.3694782303675821 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 22099341 description https://api.openml.org/data/download/22099341/description.xml -1 22099342 predictions https://api.openml.org/data/download/22099342/predictions.arff area_under_roc_curve 0.8181273859031 [0.760555,0.773547,0.806559,0.758949,0.789901,0.875739] average_cost 0 f_measure 0.5502365849455246 [0.434659,0.325581,0.422944,0.359855,0.388982,0.764939] kappa 0.40332769312996564 kb_relative_information_score 0.36847581410595426 mean_absolute_error 0.18029176260007046 mean_prior_absolute_error 0.2507645736611627 weighted_recall 0.5647270349787512 [0.421488,0.273663,0.409091,0.322528,0.373397,0.832028] number_of_instances 6118 [1089,486,748,617,624,2554] precision 0.5432508567908857 [0.44868,0.401813,0.437768,0.406953,0.405923,0.707861] predictive_accuracy 0.5647270349787512 prior_entropy 2.3000072984859514 relative_absolute_error 0.7189682337014784 root_mean_prior_squared_error 0.35407492669342416 root_mean_squared_error 0.31241451604067955 root_relative_squared_error 0.8823401277187405 total_cost 0 unweighted_recall 0.4386991756423813 [0.421488,0.273663,0.409091,0.322528,0.373397,0.832028] area_under_roc_curve 0.8310460297998375 [0.766912,0.736259,0.832437,0.77393,0.827305,0.890477] area_under_roc_curve 0.8162120537313976 [0.746439,0.826832,0.842123,0.756686,0.803929,0.853924] area_under_roc_curve 0.823464299770147 [0.762529,0.774821,0.800944,0.764282,0.798291,0.885852] area_under_roc_curve 0.8186673737286105 [0.775485,0.787726,0.824246,0.717947,0.774413,0.876679] area_under_roc_curve 0.8115058783032834 [0.716992,0.790409,0.776263,0.81217,0.817933,0.864602] area_under_roc_curve 0.8045094007822247 [0.750707,0.700837,0.807784,0.752713,0.789531,0.862701] area_under_roc_curve 0.8113811641146103 [0.780911,0.759216,0.77789,0.75151,0.771701,0.868485] area_under_roc_curve 0.8274108904476721 [0.746649,0.801193,0.833693,0.759097,0.793768,0.889402] area_under_roc_curve 0.8133203011446195 [0.778793,0.79002,0.765485,0.758271,0.752203,0.874323] area_under_roc_curve 0.8243371219549709 [0.787721,0.773923,0.809603,0.74228,0.758328,0.889437] 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 0.5528744397500732 [0.452261,0.315789,0.391892,0.396552,0.409449,0.759857] f_measure 0.5467695311858013 [0.431925,0.405405,0.489796,0.330275,0.33871,0.743268] f_measure 0.5445004106692457 [0.367347,0.270833,0.47619,0.32381,0.434109,0.77314] f_measure 0.5400423440373714 [0.398104,0.358974,0.476821,0.22,0.420168,0.761062] f_measure 0.5418700290742757 [0.39819,0.361446,0.380282,0.418182,0.354839,0.761029] f_measure 0.554664045919238 [0.401961,0.202532,0.496732,0.457627,0.452174,0.753153] f_measure 0.5526472144024163 [0.529148,0.376471,0.307692,0.333333,0.378378,0.764286] f_measure 0.5669763971427407 [0.418182,0.363636,0.48227,0.403361,0.389831,0.775956] f_measure 0.543196074263704 [0.502326,0.305882,0.323077,0.37931,0.300885,0.767318] f_measure 0.5530241397650757 [0.438095,0.309524,0.386207,0.306306,0.40678,0.790614] kappa 0.40641675999736476 kappa 0.3965094412246649 kappa 0.3991993688030164 kappa 0.3933337018406942 kappa 0.3905135754007197 kappa 0.4117341773539806 kappa 0.4081651413254106 kappa 0.42395797230988136 kappa 0.3952215455186754 kappa 0.40811736084864986 kb_relative_information_score 0.38427400174665605 kb_relative_information_score 0.3764125749123799 kb_relative_information_score 0.3823735911814265 kb_relative_information_score 0.3579240757230172 kb_relative_information_score 0.36652426799936705 kb_relative_information_score 0.3584814601221316 kb_relative_information_score 0.36019623959250213 kb_relative_information_score 0.38470876548292 kb_relative_information_score 0.34565558975819294 kb_relative_information_score 0.36815559378593415 mean_absolute_error 0.17499390680983423 mean_absolute_error 0.1809165541486798 mean_absolute_error 0.17547680240979724 mean_absolute_error 0.18282794341533848 mean_absolute_error 0.18056566551870928 mean_absolute_error 0.18294971275555247 mean_absolute_error 0.18265003005458844 mean_absolute_error 0.1776715068037533 mean_absolute_error 0.18530332609959468 mean_absolute_error 0.17956918613360742 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 0.5486620837424169 [0.5,0.428571,0.391892,0.425926,0.40625,0.701987] precision 0.5451336924950888 [0.442308,0.576923,0.5,0.382979,0.344262,0.68543] precision 0.5374654661117391 [0.409091,0.276596,0.486111,0.395349,0.424242,0.719595] precision 0.5327761940054145 [0.411765,0.482759,0.473684,0.289474,0.438596,0.693548] precision 0.5376116803662252 [0.392857,0.441176,0.402985,0.479167,0.354839,0.716263] precision 0.5467404982855651 [0.431579,0.266667,0.487179,0.482143,0.490566,0.696667] precision 0.5462323949676453 [0.517544,0.444444,0.323529,0.425,0.428571,0.701639] precision 0.5639143609651367 [0.414414,0.5,0.515152,0.413793,0.410714,0.726962] precision 0.5339009180005496 [0.509434,0.351351,0.381818,0.4,0.333333,0.703583] precision 0.5442309878234809 [0.455446,0.361111,0.394366,0.34,0.436364,0.734899] predictive_accuracy 0.5669934640522876 predictive_accuracy 0.5604575163398693 predictive_accuracy 0.5588235294117647 predictive_accuracy 0.5604575163398693 predictive_accuracy 0.5522875816993464 predictive_accuracy 0.5702614379084967 predictive_accuracy 0.5702614379084967 predictive_accuracy 0.5784313725490197 predictive_accuracy 0.5613747954173486 predictive_accuracy 0.5679214402618658 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 0.6980908993303515 relative_absolute_error 0.72125554482664 relative_absolute_error 0.6994194810937713 relative_absolute_error 0.728839970363968 relative_absolute_error 0.7198214443972424 relative_absolute_error 0.7293254014236566 relative_absolute_error 0.7281307222799274 relative_absolute_error 0.7087707005948957 relative_absolute_error 0.7394868040844957 relative_absolute_error 0.7165720814518949 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 0.3111874431102225 root_mean_squared_error 0.31101586157484623 root_mean_squared_error 0.3127748231060986 root_mean_squared_error 0.31265278648545985 root_mean_squared_error 0.31558986466560696 root_mean_squared_error 0.3151068817889276 root_mean_squared_error 0.3128617663114416 root_mean_squared_error 0.3077154302753826 root_mean_squared_error 0.31486764865616185 root_mean_squared_error 0.31028710203231447 root_relative_squared_error 0.8791888386133906 root_relative_squared_error 0.8781413115091169 root_relative_squared_error 0.8829189518065209 root_relative_squared_error 0.8827199225307958 root_relative_squared_error 0.8910122440315571 root_relative_squared_error 0.8896486271827243 root_relative_squared_error 0.8833099401598555 root_relative_squared_error 0.8693773014912263 root_relative_squared_error 0.8899106606498176 root_relative_squared_error 0.8769259697505016 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 0.44442118053717267 [0.412844,0.25,0.391892,0.370968,0.412698,0.828125] unweighted_recall 0.44165649474745017 [0.422018,0.3125,0.48,0.290323,0.333333,0.811765] unweighted_recall 0.4365397054879299 [0.333333,0.265306,0.466667,0.274194,0.444444,0.835294] unweighted_recall 0.42913630047066675 [0.385321,0.285714,0.48,0.177419,0.403226,0.843137] unweighted_recall 0.4345605552075817 [0.40367,0.306122,0.36,0.370968,0.354839,0.811765] unweighted_recall 0.4534208857657693 [0.376147,0.163265,0.506667,0.435484,0.419355,0.819608] unweighted_recall 0.4355445435548196 [0.541284,0.326531,0.293333,0.274194,0.33871,0.839216] unweighted_recall 0.4595845970929626 [0.422018,0.285714,0.453333,0.393443,0.370968,0.832031] unweighted_recall 0.4208075772436743 [0.495413,0.270833,0.28,0.360656,0.274194,0.84375] unweighted_recall 0.4310566193130183 [0.422018,0.270833,0.378378,0.278689,0.380952,0.855469] usercpu_time_millis 9958.27052399909 usercpu_time_millis 6420.94575700321 usercpu_time_millis 9550.551712003653 usercpu_time_millis 6268.741891002719 usercpu_time_millis 7481.794234001427 usercpu_time_millis 6198.801293001452 usercpu_time_millis 6449.29057400077 usercpu_time_millis 8258.668380996824 usercpu_time_millis 6450.847101001273 usercpu_time_millis 6074.23824199941 usercpu_time_millis_testing 12.552320000395412 usercpu_time_millis_testing 10.407860001578229 usercpu_time_millis_testing 11.725398002454313 usercpu_time_millis_testing 10.875836000195704 usercpu_time_millis_testing 10.611671998049133 usercpu_time_millis_testing 10.174541999731446 usercpu_time_millis_testing 10.392336000222713 usercpu_time_millis_testing 11.293757997918874 usercpu_time_millis_testing 10.78760800010059 usercpu_time_millis_testing 7.05312399804825 usercpu_time_millis_training 9945.718203998695 usercpu_time_millis_training 6410.537897001632 usercpu_time_millis_training 9538.826314001199 usercpu_time_millis_training 6257.866055002523 usercpu_time_millis_training 7471.182562003378 usercpu_time_millis_training 6188.626751001721 usercpu_time_millis_training 6438.898238000547 usercpu_time_millis_training 8247.374622998905 usercpu_time_millis_training 6440.059493001172 usercpu_time_millis_training 6067.185118001362 wall_clock_time_millis 10144.49143409729 wall_clock_time_millis 6544.3689823150635 wall_clock_time_millis 9717.90623664856 wall_clock_time_millis 6408.27202796936 wall_clock_time_millis 7644.135236740112 wall_clock_time_millis 6332.483291625977 wall_clock_time_millis 6575.104713439941 wall_clock_time_millis 8403.599500656128 wall_clock_time_millis 6564.430952072144 wall_clock_time_millis 6159.187078475952 wall_clock_time_millis_testing 12.556076049804688 wall_clock_time_millis_testing 10.411739349365234 wall_clock_time_millis_testing 11.728763580322266 wall_clock_time_millis_testing 10.879755020141602 wall_clock_time_millis_testing 10.614871978759766 wall_clock_time_millis_testing 10.178804397583008 wall_clock_time_millis_testing 10.396242141723633 wall_clock_time_millis_testing 11.614322662353516 wall_clock_time_millis_testing 10.80322265625 wall_clock_time_millis_testing 7.056713104248047 wall_clock_time_millis_training 10131.935358047485 wall_clock_time_millis_training 6533.957242965698 wall_clock_time_millis_training 9706.177473068237 wall_clock_time_millis_training 6397.392272949219 wall_clock_time_millis_training 7633.5203647613525 wall_clock_time_millis_training 6322.304487228394 wall_clock_time_millis_training 6564.708471298218 wall_clock_time_millis_training 8391.985177993774 wall_clock_time_millis_training 6553.627729415894 wall_clock_time_millis_training 6152.130365371704 weighted_recall 0.5669934640522876 [0.412844,0.25,0.391892,0.370968,0.412698,0.828125] weighted_recall 0.5604575163398693 [0.422018,0.3125,0.48,0.290323,0.333333,0.811765] weighted_recall 0.5588235294117647 [0.333333,0.265306,0.466667,0.274194,0.444444,0.835294] weighted_recall 0.5604575163398693 [0.385321,0.285714,0.48,0.177419,0.403226,0.843137] weighted_recall 0.5522875816993464 [0.40367,0.306122,0.36,0.370968,0.354839,0.811765] weighted_recall 0.5702614379084967 [0.376147,0.163265,0.506667,0.435484,0.419355,0.819608] weighted_recall 0.5702614379084967 [0.541284,0.326531,0.293333,0.274194,0.33871,0.839216] weighted_recall 0.5784313725490197 [0.422018,0.285714,0.453333,0.393443,0.370968,0.832031] weighted_recall 0.5613747954173486 [0.495413,0.270833,0.28,0.360656,0.274194,0.84375] weighted_recall 0.5679214402618658 [0.422018,0.270833,0.378378,0.278689,0.380952,0.855469]