10578873 28997 Marc Boel 28 Supervised Classification 19037 sklearn.pipeline.Pipeline(columntransformer=sklearn.compose._column_transformer.ColumnTransformer(simpleimputer=sklearn.impute._base.SimpleImputer,onehotencoder=sklearn.preprocessing._encoders.OneHotEncoder),gradientboostingclassifier=sklearn.ensemble._gb.GradientBoostingClassifier)(1) 8295155 Python_3.8.10. Sklearn_0.24.2. NumPy_1.17.4. SciPy_1.3.3. add_indicator false 18819 copy true 18819 fill_value null 18819 missing_values NaN 18819 strategy "most_frequent" 18819 verbose 0 18819 n_jobs null 18996 remainder "drop" 18996 sparse_threshold 0.3 18996 transformer_weights null 18996 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"}}}] 18996 verbose false 18996 categories "auto" 18997 drop null 18997 dtype {"oml-python:serialized_object": "type", "value": "np.float64"} 18997 handle_unknown "ignore" 18997 sparse true 18997 memory null 19037 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"}}] 19037 verbose false 19037 ccp_alpha 0.0 19038 criterion "friedman_mse" 19038 init null 19038 learning_rate 0.47510882318901776 19038 loss "deviance" 19038 max_depth 3 19038 max_features null 19038 max_leaf_nodes 1089 19038 min_impurity_decrease 0.0 19038 min_impurity_split null 19038 min_samples_leaf 146 19038 min_samples_split 2 19038 min_weight_fraction_leaf 0.0 19038 n_estimators 100 19038 n_iter_no_change 3 19038 random_state 57600 19038 subsample 1.0 19038 tol 0.0001 19038 validation_fraction 0.021933890869800056 19038 verbose 0 19038 warm_start false 19038 openml-python Sklearn_0.24.2. 28 optdigits https://www.openml.org/data/download/28/dataset_28_optdigits.arff -1 22084013 description https://api.openml.org/data/download/22084013/description.xml -1 22084014 predictions https://api.openml.org/data/download/22084014/predictions.arff area_under_roc_curve 0.999539442704344 [0.99992,0.999583,0.999889,0.999601,0.999753,0.999541,0.999718,0.999807,0.999413,0.998173] average_cost 0 f_measure 0.9765364183386792 [0.990958,0.976542,0.984671,0.970976,0.980634,0.975785,0.989189,0.980668,0.971119,0.945133] kappa 0.9739022491051853 kb_relative_information_score 0.974576120964566 mean_absolute_error 0.006500916687833414 mean_prior_absolute_error 0.17999735782507298 weighted_recall 0.9765124555160143 [0.98917,0.984238,0.980251,0.965035,0.980634,0.97491,0.983871,0.985866,0.971119,0.950178] number_of_instances 5620 [554,571,557,572,568,558,558,566,554,562] precision 0.9766013288044876 [0.992754,0.968966,0.98913,0.976991,0.980634,0.976661,0.994565,0.975524,0.971119,0.940141] predictive_accuracy 0.9765124555160142 prior_entropy 3.3218327251668773 relative_absolute_error 0.036116733969790864 root_mean_prior_squared_error 0.2999977942685968 root_mean_squared_error 0.0596645507040278 root_relative_squared_error 0.19888329795721224 total_cost 0 unweighted_recall 0.9765272123981058 [0.98917,0.984238,0.980251,0.965035,0.980634,0.97491,0.983871,0.985866,0.971119,0.950178] area_under_roc_curve 0.9996552553361912 [1,0.999722,0.999965,0.999966,0.999375,1,0.9994,0.999965,0.999641,0.998518] area_under_roc_curve 0.9996758729064564 [1,0.999931,1,0.998495,0.999896,0.999894,1,0.999965,0.999785,0.998835] area_under_roc_curve 0.9998662956191953 [1,0.999931,1,0.999826,0.999861,1,1,1,1,0.999047] area_under_roc_curve 0.9994371754059773 [1,0.999618,0.999718,0.999305,1,0.999859,1,0.999861,0.999677,0.99633] area_under_roc_curve 0.9998699438676948 [0.999785,0.999861,1,1,1,0.999857,0.999894,0.999965,0.999606,0.999722] area_under_roc_curve 0.9990400073015403 [0.999821,0.999687,1,0.999409,0.999027,0.997992,0.999153,0.999444,0.997669,0.998159] area_under_roc_curve 0.9998662259851235 [0.999965,0.999896,1,0.999548,1,0.999965,1,0.999826,1,0.999471] area_under_roc_curve 0.9995109250709203 [0.999929,0.999305,0.999964,0.999757,0.999965,0.999824,1,0.999548,0.999929,0.996894] area_under_roc_curve 0.9986913372196953 [1,0.998563,0.999139,0.999514,0.999647,0.997424,1,0.999577,0.998412,0.994636] area_under_roc_curve 0.9997361425760399 [1,0.999618,0.999965,0.999792,0.999965,1,0.999788,1,0.998871,0.999365] 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 0.9768457669622678 [1,0.965517,0.982143,0.991304,0.964286,0.99115,0.972973,0.99115,0.955752,0.954128] f_measure 0.9751642476518639 [0.990826,0.982143,0.982456,0.947368,0.982456,0.982456,0.990991,0.990991,0.963636,0.93913] f_measure 0.9857307881024548 [0.990826,0.982456,0.99115,0.973913,0.982456,0.99115,1,0.991304,0.990826,0.963636] f_measure 0.975021099645106 [1,0.965517,0.981818,0.964286,1,0.972973,0.99115,0.973913,0.982143,0.918919] f_measure 0.9839666133359145 [0.981481,0.982759,1,1,0.991304,0.981818,0.981818,0.991304,0.964286,0.964286] f_measure 0.955601695470105 [0.981818,0.974359,0.953271,0.940171,0.948276,0.933333,0.990991,0.973451,0.945455,0.915254] f_measure 0.9841203316760743 [0.990991,0.99115,1,0.982143,0.99115,0.957265,1,0.982456,1,0.946429] f_measure 0.9768788082342261 [0.99115,0.973451,0.981818,0.954955,0.982456,0.982143,1,0.948276,0.990991,0.964912] f_measure 0.9753207226542723 [0.99115,0.982759,0.981481,0.973451,0.982143,0.981818,0.990991,0.973451,0.963636,0.932203] f_measure 0.9767936757166998 [0.99115,0.966102,0.99115,0.982456,0.982143,0.981818,0.972973,0.99115,0.954128,0.954955] kappa 0.9742979064719602 kappa 0.9723208223544186 kappa 0.9841829375549692 kappa 0.972320627605495 kappa 0.9822058047493404 kappa 0.9505692452750532 kappa 0.982206305539334 kappa 0.9742978160531353 kappa 0.9723204328538309 kappa 0.9742976352135766 kb_relative_information_score 0.9752907968463829 kb_relative_information_score 0.9751166063702563 kb_relative_information_score 0.9846453838759662 kb_relative_information_score 0.9679365256599847 kb_relative_information_score 0.9809517307719556 kb_relative_information_score 0.9590611731528614 kb_relative_information_score 0.9835853739405674 kb_relative_information_score 0.9774482224477703 kb_relative_information_score 0.9645631790219743 kb_relative_information_score 0.9771621359849177 mean_absolute_error 0.006459987463984303 mean_absolute_error 0.0067233380550078894 mean_absolute_error 0.004327406190236192 mean_absolute_error 0.008251775150271961 mean_absolute_error 0.0054118116865211965 mean_absolute_error 0.009688574435030992 mean_absolute_error 0.00416195279959687 mean_absolute_error 0.005504308360596858 mean_absolute_error 0.008908358054436433 mean_absolute_error 0.005571654682651327 mean_prior_absolute_error 0.17999677629374952 mean_prior_absolute_error 0.17999677629374952 mean_prior_absolute_error 0.17999715555330845 mean_prior_absolute_error 0.17999715555330845 mean_prior_absolute_error 0.1799969027136025 mean_prior_absolute_error 0.1799969027136025 mean_prior_absolute_error 0.17999759802279386 mean_prior_absolute_error 0.17999759802279386 mean_prior_absolute_error 0.1799979140724263 mean_prior_absolute_error 0.17999879901139712 number_of_instances 562 [55,57,56,58,57,56,56,56,55,56] number_of_instances 562 [55,57,56,58,57,56,56,56,55,56] number_of_instances 562 [55,57,56,57,57,56,56,57,55,56] number_of_instances 562 [55,57,56,57,57,56,56,57,55,56] number_of_instances 562 [55,57,56,57,57,55,56,57,55,57] number_of_instances 562 [55,57,56,57,57,55,56,57,55,57] number_of_instances 562 [56,57,55,57,57,56,55,57,56,56] number_of_instances 562 [56,57,55,57,57,56,55,57,56,56] number_of_instances 562 [56,58,55,57,56,56,56,56,56,56] number_of_instances 562 [56,57,56,57,56,56,56,56,56,56] precision 0.977282081776061 [1,0.949153,0.982143,1,0.981818,0.982456,0.981818,0.982456,0.931034,0.981132] precision 0.9756596792725799 [1,1,0.965517,0.964286,0.982456,0.965517,1,1,0.963636,0.915254] precision 0.9858536918508758 [1,0.982456,0.982456,0.965517,0.982456,0.982456,1,0.982759,1,0.981481] precision 0.9752608972328253 [1,0.949153,1,0.981818,1,0.981818,0.982456,0.965517,0.964912,0.927273] precision 0.9842903538973687 [1,0.966102,1,1,0.982759,0.981818,1,0.982759,0.947368,0.981818] precision 0.957076072012321 [0.981818,0.95,1,0.916667,0.932203,0.98,1,0.982143,0.945455,0.885246] precision 0.9847150107928357 [1,1,1,1,1,0.918033,1,0.982456,1,0.946429] precision 0.9771942573975756 [0.982456,0.982143,0.981818,0.981481,0.982456,0.982143,1,0.932203,1,0.948276] precision 0.9762903145087044 [0.982456,0.982759,1,0.982143,0.982143,1,1,0.964912,0.981481,0.887097] precision 0.9772309206989044 [0.982456,0.934426,0.982456,0.982456,0.982143,1,0.981818,0.982456,0.981132,0.963636] predictive_accuracy 0.9768683274021351 predictive_accuracy 0.9750889679715303 predictive_accuracy 0.9857651245551601 predictive_accuracy 0.9750889679715303 predictive_accuracy 0.9839857651245552 predictive_accuracy 0.9555160142348754 predictive_accuracy 0.9839857651245552 predictive_accuracy 0.9768683274021351 predictive_accuracy 0.9750889679715303 predictive_accuracy 0.9768683274021351 prior_entropy 3.3217909017967746 prior_entropy 3.3217909017967746 prior_entropy 3.321817923867619 prior_entropy 3.321817923867619 prior_entropy 3.3217996202390836 prior_entropy 3.3217996202390836 prior_entropy 3.3218501976437715 prior_entropy 3.3218501976437715 prior_entropy 3.321873176216062 prior_entropy 3.3219367883600994 relative_absolute_error 0.035889462005929434 relative_absolute_error 0.03735254704804044 relative_absolute_error 0.024041525417075695 relative_absolute_error 0.045843919726987536 relative_absolute_error 0.03006613783311629 relative_absolute_error 0.0538263397256714 relative_absolute_error 0.02312226854866043 relative_absolute_error 0.030579898960095147 relative_absolute_error 0.04949145161122228 relative_absolute_error 0.03095384365480429 root_mean_prior_squared_error 0.2999968250410308 root_mean_prior_squared_error 0.2999968250410308 root_mean_prior_squared_error 0.2999974571463194 root_mean_prior_squared_error 0.2999974571463194 root_mean_prior_squared_error 0.2999970357429417 root_mean_prior_squared_error 0.2999970357429417 root_mean_prior_squared_error 0.2999981946008062 root_mean_prior_squared_error 0.2999981946008062 root_mean_prior_squared_error 0.2999987213529011 root_mean_prior_squared_error 0.3000001962538465 root_mean_squared_error 0.05974713141812728 root_mean_squared_error 0.05816480157466783 root_mean_squared_error 0.04431383508665606 root_mean_squared_error 0.06549818628589021 root_mean_squared_error 0.04982831816194283 root_mean_squared_error 0.07958469633465026 root_mean_squared_error 0.047594647838726724 root_mean_squared_error 0.05827125384963274 root_mean_squared_error 0.0682850440939899 root_mean_squared_error 0.05702430980595902 root_relative_squared_error 0.19915921246818402 root_relative_squared_error 0.19388472383570254 root_relative_squared_error 0.1477140356727845 root_relative_squared_error 0.21832913821647634 root_relative_squared_error 0.1660960350442902 root_relative_squared_error 0.2652849423580437 root_relative_squared_error 0.15864978088304407 root_relative_squared_error 0.194238681759974 root_relative_squared_error 0.22761778378936262 root_relative_squared_error 0.19008090833949873 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 0.9769401363911345 [1,0.982456,0.982143,0.982759,0.947368,1,0.964286,1,0.981818,0.928571] unweighted_recall 0.9752428877837224 [0.981818,0.964912,1,0.931034,0.982456,1,0.982143,0.982143,0.963636,0.964286] unweighted_recall 0.9857433356117566 [0.981818,0.982456,1,0.982456,0.982456,1,1,1,0.981818,0.946429] unweighted_recall 0.97515664160401 [1,0.982456,0.964286,0.947368,1,0.964286,1,0.982456,1,0.910714] unweighted_recall 0.9838926862611073 [0.963636,1,1,1,1,0.981818,0.964286,1,0.981818,0.947368] unweighted_recall 0.9553144224196857 [0.981818,1,0.910714,0.964912,0.964912,0.890909,0.982143,0.964912,0.945455,0.947368] unweighted_recall 0.9840852130325815 [0.982143,0.982456,1,0.964912,0.982456,1,1,0.982456,1,0.946429] unweighted_recall 0.9770352016404649 [1,0.964912,0.981818,0.929825,0.982456,0.982143,1,0.964912,0.982143,0.982143] unweighted_recall 0.9750592979313486 [1,0.982759,0.963636,0.964912,0.982143,0.964286,0.982143,0.982143,0.946429,0.982143] unweighted_recall 0.9768170426065164 [1,1,1,0.982456,0.982143,0.964286,0.964286,1,0.928571,0.946429] usercpu_time_millis 4299.514252001245 usercpu_time_millis 3671.8125459992734 usercpu_time_millis 5163.165366000612 usercpu_time_millis 3382.3328429989488 usercpu_time_millis 4145.051649999004 usercpu_time_millis 5032.309960999555 usercpu_time_millis 5432.163868001226 usercpu_time_millis 5986.145075999957 usercpu_time_millis 3202.885039998364 usercpu_time_millis 4448.881556998458 usercpu_time_millis_testing 3.923700000086683 usercpu_time_millis_testing 4.768400998727884 usercpu_time_millis_testing 5.220600000029663 usercpu_time_millis_testing 3.7766999994346406 usercpu_time_millis_testing 3.8406009989557788 usercpu_time_millis_testing 4.085200000190525 usercpu_time_millis_testing 4.211900000882451 usercpu_time_millis_testing 4.530899999735993 usercpu_time_millis_testing 4.169799998635426 usercpu_time_millis_testing 3.9328009988821577 usercpu_time_millis_training 4295.590552001158 usercpu_time_millis_training 3667.0441450005455 usercpu_time_millis_training 5157.944766000583 usercpu_time_millis_training 3378.556142999514 usercpu_time_millis_training 4141.211049000049 usercpu_time_millis_training 5028.224760999365 usercpu_time_millis_training 5427.951968000343 usercpu_time_millis_training 5981.614176000221 usercpu_time_millis_training 3198.7152399997285 usercpu_time_millis_training 4444.948755999576 wall_clock_time_millis 4311.566352844238 wall_clock_time_millis 3671.9703674316406 wall_clock_time_millis 5165.809631347656 wall_clock_time_millis 3387.256383895874 wall_clock_time_millis 4146.10481262207 wall_clock_time_millis 5036.67140007019 wall_clock_time_millis 5442.1656131744385 wall_clock_time_millis 5994.351625442505 wall_clock_time_millis 3210.1058959960938 wall_clock_time_millis 4450.488567352295 wall_clock_time_millis_testing 3.9267539978027344 wall_clock_time_millis_testing 4.773139953613281 wall_clock_time_millis_testing 5.223989486694336 wall_clock_time_millis_testing 3.778219223022461 wall_clock_time_millis_testing 3.843545913696289 wall_clock_time_millis_testing 4.088401794433594 wall_clock_time_millis_testing 4.214763641357422 wall_clock_time_millis_testing 4.534244537353516 wall_clock_time_millis_testing 4.174232482910156 wall_clock_time_millis_testing 3.936290740966797 wall_clock_time_millis_training 4307.639598846436 wall_clock_time_millis_training 3667.1972274780273 wall_clock_time_millis_training 5160.585641860962 wall_clock_time_millis_training 3383.4781646728516 wall_clock_time_millis_training 4142.261266708374 wall_clock_time_millis_training 5032.582998275757 wall_clock_time_millis_training 5437.950849533081 wall_clock_time_millis_training 5989.817380905151 wall_clock_time_millis_training 3205.9316635131836 wall_clock_time_millis_training 4446.552276611328 weighted_recall 0.9768683274021353 [1,0.982456,0.982143,0.982759,0.947368,1,0.964286,1,0.981818,0.928571] weighted_recall 0.9750889679715302 [0.981818,0.964912,1,0.931034,0.982456,1,0.982143,0.982143,0.963636,0.964286] weighted_recall 0.9857651245551602 [0.981818,0.982456,1,0.982456,0.982456,1,1,1,0.981818,0.946429] weighted_recall 0.9750889679715302 [1,0.982456,0.964286,0.947368,1,0.964286,1,0.982456,1,0.910714] weighted_recall 0.9839857651245552 [0.963636,1,1,1,1,0.981818,0.964286,1,0.981818,0.947368] weighted_recall 0.9555160142348754 [0.981818,1,0.910714,0.964912,0.964912,0.890909,0.982143,0.964912,0.945455,0.947368] weighted_recall 0.9839857651245552 [0.982143,0.982456,1,0.964912,0.982456,1,1,0.982456,1,0.946429] weighted_recall 0.9768683274021353 [1,0.964912,0.981818,0.929825,0.982456,0.982143,1,0.964912,0.982143,0.982143] weighted_recall 0.9750889679715302 [1,0.982759,0.963636,0.964912,0.982143,0.964286,0.982143,0.982143,0.946429,0.982143] weighted_recall 0.9768683274021353 [1,1,1,0.982456,0.982143,0.964286,0.964286,1,0.928571,0.946429]