10586556 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) 8302838 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 0.7610989698830385 19040 loss "deviance" 19040 max_depth 3 19040 max_features null 19040 max_leaf_nodes 852 19040 min_impurity_decrease 0.0 19040 min_samples_leaf 175 19040 min_samples_split 2 19040 min_weight_fraction_leaf 0.0 19040 n_estimators 100 19040 n_iter_no_change 15 19040 random_state 8265 19040 subsample 1.0 19040 tol 0.0001 19040 validation_fraction 0.23070183823979137 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 22099383 description https://api.openml.org/data/download/22099383/description.xml -1 22099384 predictions https://api.openml.org/data/download/22099384/predictions.arff area_under_roc_curve 0.8292514836151319 [0.769884,0.788503,0.820096,0.776595,0.803589,0.883991] average_cost 0 f_measure 0.5572507331974568 [0.439571,0.338611,0.441522,0.362808,0.392328,0.770195] kappa 0.41266748641139844 kb_relative_information_score 0.38352749912015127 mean_absolute_error 0.1769654142878546 mean_prior_absolute_error 0.2507645736611627 weighted_recall 0.5725727361882968 [0.432507,0.286008,0.426471,0.322528,0.360577,0.841817] number_of_instances 6118 [1089,486,748,617,624,2554] precision 0.5504621271651358 [0.446869,0.414925,0.457676,0.414583,0.43021,0.709805] predictive_accuracy 0.5725727361882968 prior_entropy 2.3000072984859514 relative_absolute_error 0.7057034081974163 root_mean_prior_squared_error 0.35407492669342416 root_mean_squared_error 0.3084116752052126 root_relative_squared_error 0.8710350605318373 total_cost 0 unweighted_recall 0.4449846249818101 [0.432507,0.286008,0.426471,0.322528,0.360577,0.841817] area_under_roc_curve 0.8403831116920931 [0.7831,0.745346,0.835854,0.783548,0.829025,0.900462] area_under_roc_curve 0.8336493952619397 [0.791818,0.809286,0.842557,0.809311,0.762165,0.877075] area_under_roc_curve 0.8395078727372107 [0.776841,0.791242,0.839181,0.790205,0.817171,0.892926] area_under_roc_curve 0.828931283687804 [0.763793,0.819516,0.831409,0.733607,0.786496,0.891349] area_under_roc_curve 0.8244828760137531 [0.756498,0.812647,0.802744,0.786012,0.795543,0.878602] area_under_roc_curve 0.8291465022861181 [0.759434,0.751695,0.818684,0.797463,0.79783,0.892223] area_under_roc_curve 0.8193694935984683 [0.779972,0.769493,0.801875,0.774971,0.803739,0.865535] area_under_roc_curve 0.83325160168888 [0.748071,0.816363,0.851099,0.760421,0.807801,0.891042] area_under_roc_curve 0.8231849683955063 [0.775641,0.816422,0.7824,0.75924,0.805085,0.876265] area_under_roc_curve 0.827269081278792 [0.773658,0.764284,0.808684,0.783517,0.833044,0.876282] 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 0.5747765216269184 [0.488688,0.268657,0.480519,0.386555,0.4,0.784672] f_measure 0.5520057610822688 [0.443396,0.342105,0.418919,0.411215,0.37931,0.753982] f_measure 0.5480624431135422 [0.392344,0.22449,0.465753,0.357895,0.403101,0.78245] f_measure 0.5580458552914188 [0.464455,0.341463,0.489796,0.26087,0.392523,0.772242] f_measure 0.5545044916425813 [0.388889,0.481928,0.358209,0.414414,0.376068,0.774423] f_measure 0.5735871185808881 [0.449541,0.337349,0.424658,0.452174,0.414414,0.784029] f_measure 0.5515719351654976 [0.493392,0.337349,0.360902,0.396226,0.389381,0.75089] f_measure 0.575969549074463 [0.434389,0.379747,0.510949,0.327586,0.440678,0.78481] f_measure 0.5326700941126281 [0.425121,0.292683,0.47619,0.271845,0.342342,0.748252] f_measure 0.5493716299537009 [0.40796,0.386364,0.418301,0.345455,0.381818,0.767857] kappa 0.43925356462316845 kappa 0.4045090834036687 kappa 0.40188776585309144 kappa 0.4151032170793389 kappa 0.40781892701304623 kappa 0.4346327427811939 kappa 0.404886349823751 kappa 0.43581470384881316 kappa 0.38017026431472517 kappa 0.4019348452454987 kb_relative_information_score 0.3920384374643603 kb_relative_information_score 0.3810055566805737 kb_relative_information_score 0.39262309668697065 kb_relative_information_score 0.3878548669581637 kb_relative_information_score 0.39325304584687415 kb_relative_information_score 0.39337295919210263 kb_relative_information_score 0.3713337815167232 kb_relative_information_score 0.3954775569759621 kb_relative_information_score 0.35836225075061606 kb_relative_information_score 0.3698231070925979 mean_absolute_error 0.17608147730245405 mean_absolute_error 0.17895276569380408 mean_absolute_error 0.17261524506393167 mean_absolute_error 0.17620277807361276 mean_absolute_error 0.17216084417022984 mean_absolute_error 0.17473579986983273 mean_absolute_error 0.18136725443539384 mean_absolute_error 0.17394572677548986 mean_absolute_error 0.18289702817759035 mean_absolute_error 0.18071103579234643 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 0.5733521122447709 [0.482143,0.473684,0.4625,0.403509,0.442308,0.736301] precision 0.5482755316316499 [0.456311,0.464286,0.424658,0.488889,0.415094,0.687097] precision 0.546402311303225 [0.405941,0.22449,0.478873,0.515152,0.393939,0.732877] precision 0.5512670370994104 [0.480392,0.424242,0.5,0.283019,0.466667,0.70684] precision 0.5498465760136395 [0.392523,0.588235,0.40678,0.469388,0.4,0.707792] precision 0.5678450419910213 [0.449541,0.411765,0.43662,0.490566,0.469388,0.72973] precision 0.546628039796603 [0.474576,0.411765,0.413793,0.477273,0.431373,0.687296] precision 0.5726392287482315 [0.428571,0.5,0.564516,0.345455,0.464286,0.73064] precision 0.5238617407227243 [0.44898,0.352941,0.486111,0.333333,0.387755,0.677215] precision 0.5430530269631351 [0.445652,0.425,0.405063,0.387755,0.446809,0.707237] predictive_accuracy 0.5898692810457516 predictive_accuracy 0.5686274509803921 predictive_accuracy 0.5604575163398693 predictive_accuracy 0.5751633986928105 predictive_accuracy 0.5702614379084967 predictive_accuracy 0.5866013071895425 predictive_accuracy 0.5686274509803921 predictive_accuracy 0.5882352941176471 predictive_accuracy 0.5531914893617021 predictive_accuracy 0.5646481178396072 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 0.702429467896074 relative_absolute_error 0.7134265580398275 relative_absolute_error 0.6880138199096144 relative_absolute_error 0.7024288801273392 relative_absolute_error 0.6863157907859448 relative_absolute_error 0.6965808006128271 relative_absolute_error 0.7230169627155402 relative_absolute_error 0.6939077449730269 relative_absolute_error 0.7298840322537203 relative_absolute_error 0.7211286404266565 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 0.3035557356977382 root_mean_squared_error 0.30509836970184434 root_mean_squared_error 0.30974811199547475 root_mean_squared_error 0.3060463827987087 root_mean_squared_error 0.3131012251237805 root_mean_squared_error 0.30630264505110855 root_mean_squared_error 0.3112346037972624 root_mean_squared_error 0.307934202554575 root_mean_squared_error 0.3107658112495907 root_mean_squared_error 0.31019814905813514 root_relative_squared_error 0.857627197470169 root_relative_squared_error 0.86143350102032 root_relative_squared_error 0.8743749757451654 root_relative_squared_error 0.8640679085310826 root_relative_squared_error 0.8839860098237571 root_relative_squared_error 0.864791419740206 root_relative_squared_error 0.878715934187265 root_relative_squared_error 0.8699953909174053 root_relative_squared_error 0.8783176346532156 root_relative_squared_error 0.8766745729872024 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 0.4598006168419244 [0.495413,0.1875,0.5,0.370968,0.365079,0.839844] unweighted_recall 0.4424497506246588 [0.431193,0.270833,0.413333,0.354839,0.349206,0.835294] unweighted_recall 0.430593401040225 [0.37963,0.22449,0.453333,0.274194,0.412698,0.839216] unweighted_recall 0.44114685392752345 [0.449541,0.285714,0.48,0.241935,0.33871,0.85098] unweighted_recall 0.44903212977012846 [0.385321,0.408163,0.32,0.370968,0.354839,0.854902] unweighted_recall 0.4643283846043103 [0.449541,0.285714,0.413333,0.419355,0.370968,0.847059] unweighted_recall 0.4400791868488542 [0.513761,0.285714,0.32,0.33871,0.354839,0.827451] unweighted_recall 0.4652737644448443 [0.440367,0.306122,0.466667,0.311475,0.419355,0.847656] unweighted_recall 0.4153722835103077 [0.40367,0.25,0.466667,0.229508,0.306452,0.835938] unweighted_recall 0.4412330635432206 [0.376147,0.354167,0.432432,0.311475,0.333333,0.839844] usercpu_time_millis 14104.768530000001 usercpu_time_millis 12550.473210001655 usercpu_time_millis 18017.85446299982 usercpu_time_millis 14119.315728999936 usercpu_time_millis 23237.41512599736 usercpu_time_millis 15543.544378004299 usercpu_time_millis 11404.2875740015 usercpu_time_millis 18470.50343600131 usercpu_time_millis 11061.072807002347 usercpu_time_millis 9230.391174001852 usercpu_time_millis_testing 12.422298001183663 usercpu_time_millis_testing 12.06672600164893 usercpu_time_millis_testing 13.253095999971265 usercpu_time_millis_testing 12.351094999758061 usercpu_time_millis_testing 15.637942000466865 usercpu_time_millis_testing 12.685597001109272 usercpu_time_millis_testing 11.780618002376286 usercpu_time_millis_testing 13.553107000916498 usercpu_time_millis_testing 11.974490000284277 usercpu_time_millis_testing 8.147306001774268 usercpu_time_millis_training 14092.346231998818 usercpu_time_millis_training 12538.406484000006 usercpu_time_millis_training 18004.60136699985 usercpu_time_millis_training 14106.964634000178 usercpu_time_millis_training 23221.777183996892 usercpu_time_millis_training 15530.85878100319 usercpu_time_millis_training 11392.506955999124 usercpu_time_millis_training 18456.950329000392 usercpu_time_millis_training 11049.098317002063 usercpu_time_millis_training 9222.243868000078 wall_clock_time_millis 14373.846769332886 wall_clock_time_millis 12815.565586090088 wall_clock_time_millis 18420.175790786743 wall_clock_time_millis 14379.21929359436 wall_clock_time_millis 23641.35980606079 wall_clock_time_millis 15896.725177764893 wall_clock_time_millis 11667.896032333374 wall_clock_time_millis 18778.431177139282 wall_clock_time_millis 11283.130168914795 wall_clock_time_millis 9270.514488220215 wall_clock_time_millis_testing 12.427330017089844 wall_clock_time_millis_testing 12.28022575378418 wall_clock_time_millis_testing 13.257265090942383 wall_clock_time_millis_testing 12.355566024780273 wall_clock_time_millis_testing 15.856504440307617 wall_clock_time_millis_testing 12.778997421264648 wall_clock_time_millis_testing 11.784553527832031 wall_clock_time_millis_testing 13.55743408203125 wall_clock_time_millis_testing 11.98887825012207 wall_clock_time_millis_testing 8.151054382324219 wall_clock_time_millis_training 14361.419439315796 wall_clock_time_millis_training 12803.285360336304 wall_clock_time_millis_training 18406.9185256958 wall_clock_time_millis_training 14366.86372756958 wall_clock_time_millis_training 23625.503301620483 wall_clock_time_millis_training 15883.946180343628 wall_clock_time_millis_training 11656.111478805542 wall_clock_time_millis_training 18764.87374305725 wall_clock_time_millis_training 11271.141290664673 wall_clock_time_millis_training 9262.36343383789 weighted_recall 0.5898692810457516 [0.495413,0.1875,0.5,0.370968,0.365079,0.839844] weighted_recall 0.5686274509803921 [0.431193,0.270833,0.413333,0.354839,0.349206,0.835294] weighted_recall 0.5604575163398693 [0.37963,0.22449,0.453333,0.274194,0.412698,0.839216] weighted_recall 0.5751633986928104 [0.449541,0.285714,0.48,0.241935,0.33871,0.85098] weighted_recall 0.5702614379084967 [0.385321,0.408163,0.32,0.370968,0.354839,0.854902] weighted_recall 0.5866013071895425 [0.449541,0.285714,0.413333,0.419355,0.370968,0.847059] weighted_recall 0.5686274509803921 [0.513761,0.285714,0.32,0.33871,0.354839,0.827451] weighted_recall 0.5882352941176471 [0.440367,0.306122,0.466667,0.311475,0.419355,0.847656] weighted_recall 0.5531914893617021 [0.40367,0.25,0.466667,0.229508,0.306452,0.835938] weighted_recall 0.5646481178396072 [0.376147,0.354167,0.432432,0.311475,0.333333,0.839844]