10586452 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) 8302734 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 "mean" 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 0.3312898229666973 19040 loss "deviance" 19040 max_depth 3 19040 max_features null 19040 max_leaf_nodes 76 19040 min_impurity_decrease 0.0 19040 min_samples_leaf 191 19040 min_samples_split 2 19040 min_weight_fraction_leaf 0.0 19040 n_estimators 100 19040 n_iter_no_change 10 19040 random_state 5112 19040 subsample 1.0 19040 tol 0.0001 19040 validation_fraction 0.30826637246148947 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 22099173 description https://api.openml.org/data/download/22099173/description.xml -1 22099174 predictions https://api.openml.org/data/download/22099174/predictions.arff area_under_roc_curve 0.8323339155203339 [0.778376,0.799173,0.823647,0.777336,0.80689,0.883698] average_cost 0 f_measure 0.5513905574932018 [0.43703,0.365915,0.428775,0.363134,0.37928,0.758888] kappa 0.4037364307822289 kb_relative_information_score 0.36658229751760485 mean_absolute_error 0.18238407121233163 mean_prior_absolute_error 0.2507645736611627 weighted_recall 0.5689767898005884 [0.426997,0.300412,0.402406,0.319287,0.346154,0.844166] number_of_instances 6118 [1089,486,748,617,624,2554] precision 0.5458999831045627 [0.447546,0.467949,0.458841,0.42094,0.419417,0.689258] predictive_accuracy 0.5689767898005884 prior_entropy 2.3000072984859514 relative_absolute_error 0.7273119506057982 root_mean_prior_squared_error 0.35407492669342416 root_mean_squared_error 0.3054433533477156 root_relative_squared_error 0.8626517449290719 total_cost 0 unweighted_recall 0.4399036528559321 [0.426997,0.300412,0.402406,0.319287,0.346154,0.844166] area_under_roc_curve 0.8326694244586557 [0.784495,0.732565,0.8244,0.780982,0.826062,0.888485] area_under_roc_curve 0.8309698812957279 [0.782233,0.829362,0.845487,0.807639,0.763813,0.870099] area_under_roc_curve 0.8293182564252926 [0.763797,0.79958,0.829522,0.764897,0.799101,0.885852] area_under_roc_curve 0.8401602619378533 [0.783145,0.818665,0.833892,0.777859,0.798299,0.895831] area_under_roc_curve 0.8230986958198756 [0.747615,0.823504,0.80396,0.770323,0.822243,0.873955] area_under_roc_curve 0.838576690104489 [0.790477,0.722623,0.853954,0.782757,0.837185,0.890806] area_under_roc_curve 0.8263843283293971 [0.800719,0.784011,0.808268,0.788094,0.81956,0.861795] area_under_roc_curve 0.8396422665569672 [0.760237,0.818447,0.85059,0.795796,0.816173,0.890433] area_under_roc_curve 0.8379807152457626 [0.784303,0.850096,0.796393,0.774307,0.80297,0.894399] area_under_roc_curve 0.8292996698682737 [0.790709,0.814443,0.792805,0.734531,0.790204,0.891269] 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 0.546092584422537 [0.45045,0.293333,0.402778,0.303571,0.396552,0.771171] f_measure 0.5556507109594594 [0.457944,0.379747,0.441558,0.40367,0.368421,0.747292] f_measure 0.5241818900964087 [0.371429,0.253165,0.41791,0.350515,0.368,0.753022] f_measure 0.5508756812484971 [0.428571,0.352941,0.496552,0.285714,0.381818,0.762742] f_measure 0.5714283481938391 [0.42654,0.45,0.403101,0.527273,0.410714,0.756014] f_measure 0.5734140718522813 [0.487562,0.365854,0.471429,0.433333,0.407767,0.754325] f_measure 0.5440407419103372 [0.5,0.428571,0.34375,0.376068,0.365385,0.728242] f_measure 0.5503588319780096 [0.403587,0.346667,0.431655,0.375,0.375,0.77087] f_measure 0.5386307006711103 [0.428571,0.421053,0.411765,0.26,0.338983,0.75945] f_measure 0.5547452002945777 [0.41206,0.361446,0.451613,0.291262,0.384,0.786355] kappa 0.3986977944626936 kappa 0.4088557483334187 kappa 0.36965162844829835 kappa 0.4056475227928171 kappa 0.42766658221434 kappa 0.4323262380296897 kappa 0.3932532092035868 kappa 0.40208154371942295 kappa 0.3869090854631092 kappa 0.41213970688141954 kb_relative_information_score 0.36033203774262396 kb_relative_information_score 0.37695750026025654 kb_relative_information_score 0.34813963612620463 kb_relative_information_score 0.3786935432711526 kb_relative_information_score 0.37703304338446003 kb_relative_information_score 0.3804377494422394 kb_relative_information_score 0.3599725996091251 kb_relative_information_score 0.3637148619853142 kb_relative_information_score 0.360156250297141 kb_relative_information_score 0.3603351644974936 mean_absolute_error 0.18275443039403536 mean_absolute_error 0.1812515940952327 mean_absolute_error 0.1859838096992219 mean_absolute_error 0.17894341964928223 mean_absolute_error 0.18037452157360598 mean_absolute_error 0.1785137100159999 mean_absolute_error 0.1853041119196569 mean_absolute_error 0.18339042721694176 mean_absolute_error 0.18377305617576398 mean_absolute_error 0.18355581558183262 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 0.5393570095054602 [0.442478,0.407407,0.414286,0.34,0.433962,0.715719] precision 0.5520782168884515 [0.466667,0.483871,0.43038,0.468085,0.411765,0.692308] precision 0.5200653575975008 [0.382353,0.333333,0.474576,0.485714,0.370968,0.67284] precision 0.5433520805558244 [0.445545,0.416667,0.514286,0.348837,0.4375,0.691083] precision 0.5722041269106386 [0.441176,0.580645,0.481481,0.604167,0.46,0.672783] precision 0.5719909515406594 [0.532609,0.454545,0.507692,0.448276,0.512195,0.674923] precision 0.5410356283120206 [0.478992,0.514286,0.415094,0.4,0.452381,0.665584] precision 0.5470446943030127 [0.394737,0.5,0.46875,0.411765,0.42,0.70684] precision 0.5342739118143058 [0.445545,0.571429,0.459016,0.333333,0.357143,0.677914] precision 0.5476828805916396 [0.455556,0.428571,0.432099,0.357143,0.387097,0.727575] predictive_accuracy 0.5620915032679739 predictive_accuracy 0.5686274509803921 predictive_accuracy 0.5473856209150327 predictive_accuracy 0.5702614379084967 predictive_accuracy 0.5898692810457516 predictive_accuracy 0.5915032679738562 predictive_accuracy 0.5604575163398693 predictive_accuracy 0.5669934640522876 predictive_accuracy 0.5613747954173486 predictive_accuracy 0.5711947626841244 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 0.7290494108975948 relative_absolute_error 0.7225912402820769 relative_absolute_error 0.7412985527733197 relative_absolute_error 0.7133543934130813 relative_absolute_error 0.7190594528510821 relative_absolute_error 0.711641364482514 relative_absolute_error 0.7387111669961137 relative_absolute_error 0.731584731391512 relative_absolute_error 0.7333799821553956 relative_absolute_error 0.7324807538873016 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 0.3081785579491416 root_mean_squared_error 0.3043847225639508 root_mean_squared_error 0.30850561402798116 root_mean_squared_error 0.3028572620244859 root_mean_squared_error 0.3051984815365723 root_mean_squared_error 0.3009525231867396 root_mean_squared_error 0.30939912170299616 root_mean_squared_error 0.30497786156697987 root_mean_squared_error 0.3035390505214682 root_mean_squared_error 0.3063320002873443 root_relative_squared_error 0.87068792281855 root_relative_squared_error 0.8594185458008297 root_relative_squared_error 0.8708675802579364 root_relative_squared_error 0.855063989281208 root_relative_squared_error 0.8616740090720684 root_relative_squared_error 0.849686295584002 root_relative_squared_error 0.8735337746732871 root_relative_squared_error 0.8616429474023589 root_relative_squared_error 0.8578926356373765 root_relative_squared_error 0.8657481560081546 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 0.4258307613925492 [0.458716,0.229167,0.391892,0.274194,0.365079,0.835938] unweighted_recall 0.4525518944383515 [0.449541,0.3125,0.453333,0.354839,0.333333,0.811765] unweighted_recall 0.40545015855804684 [0.361111,0.204082,0.373333,0.274194,0.365079,0.854902] unweighted_recall 0.4384320065206708 [0.412844,0.306122,0.48,0.241935,0.33871,0.85098] unweighted_recall 0.4713854029329992 [0.412844,0.367347,0.346667,0.467742,0.370968,0.862745] unweighted_recall 0.4681050350494346 [0.449541,0.306122,0.44,0.419355,0.33871,0.854902] unweighted_recall 0.4414713238555756 [0.522936,0.367347,0.293333,0.354839,0.306452,0.803922] unweighted_recall 0.4347963969412582 [0.412844,0.265306,0.4,0.344262,0.33871,0.847656] unweighted_recall 0.41974789210392754 [0.412844,0.333333,0.373333,0.213115,0.322581,0.863281] unweighted_recall 0.44065708871007364 [0.376147,0.3125,0.472973,0.245902,0.380952,0.855469] usercpu_time_millis 26364.401507002185 usercpu_time_millis 23656.526954000583 usercpu_time_millis 15637.751724998452 usercpu_time_millis 26540.52602000047 usercpu_time_millis 26487.604075999116 usercpu_time_millis 26520.621944002414 usercpu_time_millis 24697.129800997573 usercpu_time_millis 22116.6368209997 usercpu_time_millis 20787.61995199966 usercpu_time_millis 21446.35523100078 usercpu_time_millis_testing 16.83041100113769 usercpu_time_millis_testing 16.107253000882338 usercpu_time_millis_testing 13.477331998728914 usercpu_time_millis_testing 16.948104999755742 usercpu_time_millis_testing 16.997665999952005 usercpu_time_millis_testing 16.905375001442735 usercpu_time_millis_testing 16.524896998816985 usercpu_time_millis_testing 15.76614399891696 usercpu_time_millis_testing 15.356613999756519 usercpu_time_millis_testing 11.555815999599872 usercpu_time_millis_training 26347.571096001047 usercpu_time_millis_training 23640.4197009997 usercpu_time_millis_training 15624.274392999723 usercpu_time_millis_training 26523.577915000715 usercpu_time_millis_training 26470.606409999164 usercpu_time_millis_training 26503.71656900097 usercpu_time_millis_training 24680.604903998756 usercpu_time_millis_training 22100.870677000785 usercpu_time_millis_training 20772.263337999902 usercpu_time_millis_training 21434.79941500118 wall_clock_time_millis 26880.71846961975 wall_clock_time_millis 24113.059997558594 wall_clock_time_millis 15888.91339302063 wall_clock_time_millis 27106.744527816772 wall_clock_time_millis 26979.370832443237 wall_clock_time_millis 27021.907329559326 wall_clock_time_millis 25114.12262916565 wall_clock_time_millis 22601.466417312622 wall_clock_time_millis 21189.45002555847 wall_clock_time_millis 21623.456239700317 wall_clock_time_millis_testing 16.872406005859375 wall_clock_time_millis_testing 16.114234924316406 wall_clock_time_millis_testing 13.507604598999023 wall_clock_time_millis_testing 16.975879669189453 wall_clock_time_millis_testing 17.118453979492188 wall_clock_time_millis_testing 16.96610450744629 wall_clock_time_millis_testing 16.684532165527344 wall_clock_time_millis_testing 15.805721282958984 wall_clock_time_millis_testing 15.426874160766602 wall_clock_time_millis_testing 11.559724807739258 wall_clock_time_millis_training 26863.84606361389 wall_clock_time_millis_training 24096.945762634277 wall_clock_time_millis_training 15875.40578842163 wall_clock_time_millis_training 27089.768648147583 wall_clock_time_millis_training 26962.252378463745 wall_clock_time_millis_training 27004.94122505188 wall_clock_time_millis_training 25097.438097000122 wall_clock_time_millis_training 22585.660696029663 wall_clock_time_millis_training 21174.023151397705 wall_clock_time_millis_training 21611.896514892578 weighted_recall 0.5620915032679739 [0.458716,0.229167,0.391892,0.274194,0.365079,0.835938] weighted_recall 0.5686274509803921 [0.449541,0.3125,0.453333,0.354839,0.333333,0.811765] weighted_recall 0.5473856209150327 [0.361111,0.204082,0.373333,0.274194,0.365079,0.854902] weighted_recall 0.5702614379084967 [0.412844,0.306122,0.48,0.241935,0.33871,0.85098] weighted_recall 0.5898692810457516 [0.412844,0.367347,0.346667,0.467742,0.370968,0.862745] weighted_recall 0.5915032679738562 [0.449541,0.306122,0.44,0.419355,0.33871,0.854902] weighted_recall 0.5604575163398693 [0.522936,0.367347,0.293333,0.354839,0.306452,0.803922] weighted_recall 0.5669934640522876 [0.412844,0.265306,0.4,0.344262,0.33871,0.847656] weighted_recall 0.5613747954173486 [0.412844,0.333333,0.373333,0.213115,0.322581,0.863281] weighted_recall 0.5711947626841244 [0.376147,0.3125,0.472973,0.245902,0.380952,0.855469]