10586180 28997 Marc Boel 9983 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) 8302462 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 0.6283426785199991 19040 loss "deviance" 19040 max_depth 3 19040 max_features null 19040 max_leaf_nodes 292 19040 min_impurity_decrease 0.0 19040 min_samples_leaf 16 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 62839 19040 subsample 1.0 19040 tol 0.0001 19040 validation_fraction 0.04126680773177305 19040 verbose 0 19040 warm_start false 19040 openml-python Sklearn_1.0.1. 1471 eeg-eye-state https://www.openml.org/data/download/1587924/phplE7q6h -1 22098628 description https://api.openml.org/data/download/22098628/description.xml -1 22098629 predictions https://api.openml.org/data/download/22098629/predictions.arff area_under_roc_curve 0.9555825065768436 [0.955583,0.955583] average_cost 0 f_measure 0.8867407274521307 [0.898636,0.872132] kappa 0.7708079370382322 kb_relative_information_score 0.6631423205101784 mean_absolute_error 0.17894660195972392 mean_prior_absolute_error 0.4947574918117115 weighted_recall 0.8869158878504673 [0.90941,0.859289] number_of_instances 14980 [8257,6723] precision 0.8868795452332142 [0.888114,0.885364] predictive_accuracy 0.8869158878504674 prior_entropy 0.9924223735239917 relative_absolute_error 0.36168548212267426 root_mean_prior_squared_error 0.4973714869043071 root_mean_squared_error 0.2873584161676254 root_relative_squared_error 0.5777541007752067 total_cost 0 unweighted_recall 0.8843496026458225 [0.90941,0.859289] area_under_roc_curve 0.9593926553672317 [0.959393,0.959393] area_under_roc_curve 0.9501974518621009 [0.950197,0.950197] area_under_roc_curve 0.9634155569007263 [0.963416,0.963416] area_under_roc_curve 0.954591476421077 [0.954591,0.954591] area_under_roc_curve 0.954591476421077 [0.954591,0.954591] area_under_roc_curve 0.9571370921249855 [0.957137,0.957137] area_under_roc_curve 0.9616103856796957 [0.96161,0.96161] area_under_roc_curve 0.9442460263856995 [0.944246,0.944246] area_under_roc_curve 0.9561970372371561 [0.956197,0.956197] area_under_roc_curve 0.954461704714305 [0.954462,0.954462] 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 0.8949008118718224 [0.906825,0.880244] f_measure 0.8708271765984905 [0.885324,0.853008] f_measure 0.9051368239426966 [0.914561,0.893553] f_measure 0.8836625303475896 [0.895933,0.86858] f_measure 0.8793382110828472 [0.893993,0.861325] f_measure 0.8845804804164596 [0.894705,0.872136] f_measure 0.9044301559299541 [0.914217,0.8924] f_measure 0.8690833843045569 [0.881785,0.853513] f_measure 0.892453153567427 [0.902954,0.879581] f_measure 0.8828314448379784 [0.896142,0.866514] kappa 0.7871739323223492 kappa 0.7384459502248116 kappa 0.8081226479428182 kappa 0.7645556173807477 kappa 0.7555527351186699 kappa 0.7668492978147238 kappa 0.8066370954493182 kappa 0.7353056253234214 kappa 0.7825426794411956 kappa 0.7627880882792071 kb_relative_information_score 0.6738279382111475 kb_relative_information_score 0.6400663728430176 kb_relative_information_score 0.6818333643390886 kb_relative_information_score 0.6531510191368375 kb_relative_information_score 0.6566684682283881 kb_relative_information_score 0.6695602163676787 kb_relative_information_score 0.6860406249242004 kb_relative_information_score 0.6392737771284369 kb_relative_information_score 0.6666348160284429 kb_relative_information_score 0.6643704266738223 mean_absolute_error 0.17411113176519225 mean_absolute_error 0.18975391447822093 mean_absolute_error 0.17084030025335042 mean_absolute_error 0.1834153122636173 mean_absolute_error 0.1821376009477552 mean_absolute_error 0.17520267611600376 mean_absolute_error 0.16881149330454928 mean_absolute_error 0.1893807513455217 mean_absolute_error 0.17757160203694092 mean_absolute_error 0.17824123708608205 mean_prior_absolute_error 0.494736986564547 mean_prior_absolute_error 0.494736986564547 mean_prior_absolute_error 0.494736986564547 mean_prior_absolute_error 0.494736986564547 mean_prior_absolute_error 0.494736986564547 mean_prior_absolute_error 0.494736986564547 mean_prior_absolute_error 0.494736986564547 mean_prior_absolute_error 0.49480533738838384 mean_prior_absolute_error 0.49480533738838384 mean_prior_absolute_error 0.49480533738838384 number_of_instances 1498 [826,672] number_of_instances 1498 [826,672] number_of_instances 1498 [826,672] number_of_instances 1498 [826,672] number_of_instances 1498 [826,672] number_of_instances 1498 [826,672] number_of_instances 1498 [826,672] number_of_instances 1498 [825,673] number_of_instances 1498 [825,673] number_of_instances 1498 [825,673] precision 0.8954924663652897 [0.889406,0.902973] precision 0.8712510181559728 [0.869312,0.873635] precision 0.9051482724012865 [0.909091,0.900302] precision 0.8837991862602496 [0.885343,0.881902] precision 0.880532500995064 [0.870413,0.892971] precision 0.8847125089440884 [0.899633,0.866373] precision 0.9045045725275487 [0.906064,0.902588] precision 0.8690579204065858 [0.877551,0.858647] precision 0.8924480278405359 [0.898082,0.885542] precision 0.8834667092270386 [0.877907,0.890282] predictive_accuracy 0.8951935914552738 predictive_accuracy 0.8711615487316422 predictive_accuracy 0.9052069425901201 predictive_accuracy 0.8838451268357811 predictive_accuracy 0.8798397863818423 predictive_accuracy 0.8845126835781042 predictive_accuracy 0.904539385847797 predictive_accuracy 0.8691588785046729 predictive_accuracy 0.8925233644859812 predictive_accuracy 0.883177570093458 prior_entropy 0.9923629998200836 prior_entropy 0.9923629998200836 prior_entropy 0.9923629998200836 prior_entropy 0.9923629998200836 prior_entropy 0.9923629998200836 prior_entropy 0.9923629998200836 prior_entropy 0.9923629998200836 prior_entropy 0.992560912165838 prior_entropy 0.992560912165838 prior_entropy 0.992560912165838 relative_absolute_error 0.35192665293577446 relative_absolute_error 0.3835450342936191 relative_absolute_error 0.3453153996826986 relative_absolute_error 0.3707329697285279 relative_absolute_error 0.36815036250375877 relative_absolute_error 0.35413296534106115 relative_absolute_error 0.3412146208771979 relative_absolute_error 0.38273789111711326 relative_absolute_error 0.35887163823691937 relative_absolute_error 0.36022496852368524 root_mean_prior_squared_error 0.4973508728636661 root_mean_prior_squared_error 0.4973508728636661 root_mean_prior_squared_error 0.4973508728636661 root_mean_prior_squared_error 0.4973508728636661 root_mean_prior_squared_error 0.4973508728636661 root_mean_prior_squared_error 0.4973508728636661 root_mean_prior_squared_error 0.4973508728636661 root_mean_prior_squared_error 0.4974195830102464 root_mean_prior_squared_error 0.4974195830102464 root_mean_prior_squared_error 0.4974195830102464 root_mean_squared_error 0.28038250682575344 root_mean_squared_error 0.29860310040504956 root_mean_squared_error 0.274009228744638 root_mean_squared_error 0.2917760514469875 root_mean_squared_error 0.29017838305463406 root_mean_squared_error 0.2856412803655402 root_mean_squared_error 0.2736778473508736 root_mean_squared_error 0.30578100447874823 root_mean_squared_error 0.2856038412500272 root_mean_squared_error 0.2863398925657325 root_relative_squared_error 0.5637519146419835 root_relative_squared_error 0.600387204883629 root_relative_squared_error 0.5509374642632817 root_relative_squared_error 0.5866603787523043 root_relative_squared_error 0.5834480220851604 root_relative_squared_error 0.5743254831762209 root_relative_squared_error 0.5502711712861399 root_relative_squared_error 0.6147345519214297 root_relative_squared_error 0.5741708831036192 root_relative_squared_error 0.5756506224239952 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 0.8917852098466506 [0.924939,0.858631] unweighted_recall 0.8676351896690879 [0.901937,0.833333] unweighted_recall 0.903500807102502 [0.920097,0.886905] unweighted_recall 0.8812172114608555 [0.90678,0.855655] unweighted_recall 0.8753657183212269 [0.918886,0.831845] unweighted_recall 0.8839033494753834 [0.889831,0.877976] unweighted_recall 0.9024793179983858 [0.922518,0.88244] unweighted_recall 0.867250213877257 [0.886061,0.84844] unweighted_recall 0.8907893196451888 [0.907879,0.8737] unweighted_recall 0.8795668422711513 [0.915152,0.843982] usercpu_time_millis 4589.888274999794 usercpu_time_millis 4592.127584999616 usercpu_time_millis 4567.703231000451 usercpu_time_millis 4560.792504999881 usercpu_time_millis 4564.085316000273 usercpu_time_millis 4576.065136999205 usercpu_time_millis 4590.73697400072 usercpu_time_millis 4586.09486000023 usercpu_time_millis 4568.173890999788 usercpu_time_millis 4587.541049999345 usercpu_time_millis_testing 10.682533999897714 usercpu_time_millis_testing 10.45421799972246 usercpu_time_millis_testing 10.259407999910763 usercpu_time_millis_testing 10.5660170002011 usercpu_time_millis_testing 10.156008999729238 usercpu_time_millis_testing 10.294067999893741 usercpu_time_millis_testing 10.325908000595518 usercpu_time_millis_testing 10.48853100019187 usercpu_time_millis_testing 10.211472999799298 usercpu_time_millis_testing 6.954068999220908 usercpu_time_millis_training 4579.205740999896 usercpu_time_millis_training 4581.673366999894 usercpu_time_millis_training 4557.44382300054 usercpu_time_millis_training 4550.22648799968 usercpu_time_millis_training 4553.929307000544 usercpu_time_millis_training 4565.771068999311 usercpu_time_millis_training 4580.411066000124 usercpu_time_millis_training 4575.606329000038 usercpu_time_millis_training 4557.962417999988 usercpu_time_millis_training 4580.586981000124 wall_clock_time_millis 4681.800365447998 wall_clock_time_millis 4682.808876037598 wall_clock_time_millis 4650.007247924805 wall_clock_time_millis 4628.305435180664 wall_clock_time_millis 4668.992519378662 wall_clock_time_millis 4661.991834640503 wall_clock_time_millis 4689.351797103882 wall_clock_time_millis 4677.767276763916 wall_clock_time_millis 4642.022609710693 wall_clock_time_millis 4659.242630004883 wall_clock_time_millis_testing 10.703086853027344 wall_clock_time_millis_testing 10.461568832397461 wall_clock_time_millis_testing 10.264873504638672 wall_clock_time_millis_testing 10.572195053100586 wall_clock_time_millis_testing 10.177373886108398 wall_clock_time_millis_testing 10.29825210571289 wall_clock_time_millis_testing 10.332822799682617 wall_clock_time_millis_testing 10.774374008178711 wall_clock_time_millis_testing 10.216712951660156 wall_clock_time_millis_testing 7.055521011352539 wall_clock_time_millis_training 4671.097278594971 wall_clock_time_millis_training 4672.3473072052 wall_clock_time_millis_training 4639.742374420166 wall_clock_time_millis_training 4617.7332401275635 wall_clock_time_millis_training 4658.815145492554 wall_clock_time_millis_training 4651.69358253479 wall_clock_time_millis_training 4679.018974304199 wall_clock_time_millis_training 4666.992902755737 wall_clock_time_millis_training 4631.805896759033 wall_clock_time_millis_training 4652.18710899353 weighted_recall 0.8951935914552737 [0.924939,0.858631] weighted_recall 0.8711615487316422 [0.901937,0.833333] weighted_recall 0.9052069425901201 [0.920097,0.886905] weighted_recall 0.8838451268357811 [0.90678,0.855655] weighted_recall 0.8798397863818425 [0.918886,0.831845] weighted_recall 0.8845126835781041 [0.889831,0.877976] weighted_recall 0.904539385847797 [0.922518,0.88244] weighted_recall 0.8691588785046729 [0.886061,0.84844] weighted_recall 0.8925233644859814 [0.907879,0.8737] weighted_recall 0.883177570093458 [0.915152,0.843982]