10586170 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) 8302452 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 0.16783291782896104 19040 loss "deviance" 19040 max_depth 3 19040 max_features null 19040 max_leaf_nodes 1216 19040 min_impurity_decrease 0.0 19040 min_samples_leaf 10 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 54147 19040 subsample 1.0 19040 tol 0.0001 19040 validation_fraction 0.33566592973222237 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 22098608 description https://api.openml.org/data/download/22098608/description.xml -1 22098609 predictions https://api.openml.org/data/download/22098609/predictions.arff area_under_roc_curve 0.9176564875536127 [0.917656,0.917656] average_cost 0 f_measure 0.8349794204809401 [0.856291,0.808805] kappa 0.6656254919129801 kb_relative_information_score 0.4631404966947465 mean_absolute_error 0.28518336812222983 mean_prior_absolute_error 0.4947574918117115 weighted_recall 0.8359145527369827 [0.886884,0.773315] number_of_instances 14980 [8257,6723] precision 0.8367011234970594 [0.827738,0.847709] predictive_accuracy 0.8359145527369826 prior_entropy 0.9924223735239917 relative_absolute_error 0.5764104088205728 root_mean_prior_squared_error 0.4973714869043071 root_mean_squared_error 0.3489149112644817 root_relative_squared_error 0.701517719554382 total_cost 0 unweighted_recall 0.8300996701404679 [0.886884,0.773315] area_under_roc_curve 0.9255628098697107 [0.925563,0.925563] area_under_roc_curve 0.9119267410353972 [0.911927,0.911927] area_under_roc_curve 0.9261050818632537 [0.926105,0.926105] area_under_roc_curve 0.9136256197394211 [0.913626,0.913626] area_under_roc_curve 0.9172737951112648 [0.917274,0.917274] area_under_roc_curve 0.9198500374726162 [0.91985,0.91985] area_under_roc_curve 0.9257988152888273 [0.925799,0.925799] area_under_roc_curve 0.9155963798460083 [0.915596,0.915596] area_under_roc_curve 0.9125534693142419 [0.912553,0.912553] area_under_roc_curve 0.9107100724931334 [0.91071,0.91071] 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 0.8406796232805057 [0.862289,0.814118] f_measure 0.8309571849080071 [0.852113,0.804954] f_measure 0.8443364037534019 [0.864009,0.820155] f_measure 0.8292743025061337 [0.852326,0.80094] f_measure 0.8363729766580527 [0.859781,0.807601] f_measure 0.838732581896539 [0.856633,0.81673] f_measure 0.8411094739585739 [0.863741,0.813291] f_measure 0.8229973917430222 [0.844523,0.79661] f_measure 0.8310951202802669 [0.854661,0.802206] f_measure 0.8340048794417317 [0.852556,0.811263] kappa 0.6771076053325185 kappa 0.6574869163152278 kappa 0.6845823486061345 kappa 0.6539950094209909 kappa 0.6683757413430267 kappa 0.6734872177975866 kappa 0.6779738828810447 kappa 0.6415078946366509 kappa 0.6577935209775507 kappa 0.6639754844941959 kb_relative_information_score 0.4696487974881382 kb_relative_information_score 0.4516861391504567 kb_relative_information_score 0.4675019820900551 kb_relative_information_score 0.4519934685311045 kb_relative_information_score 0.4599312159253676 kb_relative_information_score 0.46378606763511887 kb_relative_information_score 0.4709690428331623 kb_relative_information_score 0.4677669534115764 kb_relative_information_score 0.4659885251951041 kb_relative_information_score 0.4621314852436633 mean_absolute_error 0.2831598274382931 mean_absolute_error 0.29030485286940394 mean_absolute_error 0.28350594589502826 mean_absolute_error 0.2899628308892649 mean_absolute_error 0.28664040406644564 mean_absolute_error 0.2850815265688777 mean_absolute_error 0.28242393656128306 mean_absolute_error 0.28180730291121403 mean_absolute_error 0.28303821896818737 mean_absolute_error 0.2859088350542949 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 0.8432467225819423 [0.82905,0.860697] precision 0.8321863692457506 [0.826879,0.83871] precision 0.8457932583250158 [0.8375,0.855987] precision 0.8316260923469219 [0.819911,0.846026] precision 0.8400306758012712 [0.821389,0.862944] precision 0.8389841334925519 [0.842105,0.835148] precision 0.8447335743244636 [0.825607,0.868243] precision 0.8239538849049591 [0.821306,0.8272] precision 0.8342857590881803 [0.818182,0.854027] precision 0.8343364234045131 [0.836639,0.831513] predictive_accuracy 0.8417890520694259 predictive_accuracy 0.8317757009345794 predictive_accuracy 0.8451268357810414 predictive_accuracy 0.8304405874499332 predictive_accuracy 0.8377837116154874 predictive_accuracy 0.8391188251001336 predictive_accuracy 0.842456608811749 predictive_accuracy 0.8237650200267023 predictive_accuracy 0.8324432576769025 predictive_accuracy 0.8344459279038717 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 0.57234416493611 relative_absolute_error 0.5867862333990439 relative_absolute_error 0.573043765867786 relative_absolute_error 0.5860949125772188 relative_absolute_error 0.5793793709600655 relative_absolute_error 0.5762284492786428 relative_absolute_error 0.570856726363708 relative_absolute_error 0.5695316554154651 relative_absolute_error 0.5720193328190077 relative_absolute_error 0.5778208387228423 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 0.3433180994706846 root_mean_squared_error 0.35392946656579755 root_mean_squared_error 0.3441547912330018 root_mean_squared_error 0.35298436684620244 root_mean_squared_error 0.3507775712950313 root_mean_squared_error 0.3479599112035068 root_mean_squared_error 0.34377945163620904 root_mean_squared_error 0.34852040126749395 root_mean_squared_error 0.3519210453452391 root_mean_squared_error 0.3515993128273016 root_relative_squared_error 0.6902935496904113 root_relative_squared_error 0.7116293262499547 root_relative_squared_error 0.6919758464510458 root_relative_squared_error 0.7097290587101525 root_relative_squared_error 0.7052919587238494 root_relative_squared_error 0.6996266221470765 root_relative_squared_error 0.6912211687832825 root_relative_squared_error 0.7006567758316719 root_relative_squared_error 0.7074933463928176 root_relative_squared_error 0.7068465433136335 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 0.8353132566585957 [0.898305,0.772321] unweighted_recall 0.8263720742534302 [0.878935,0.77381] unweighted_recall 0.8397270984665053 [0.892252,0.787202] unweighted_recall 0.8239129338175948 [0.887409,0.760417] unweighted_recall 0.830432808716707 [0.901937,0.758929] unweighted_recall 0.8353889225181599 [0.871671,0.799107] unweighted_recall 0.8352249798224374 [0.905569,0.764881] unweighted_recall 0.8186464946643253 [0.869091,0.768202] unweighted_recall 0.8254302309874375 [0.894545,0.756315] unweighted_recall 0.8305335674726462 [0.869091,0.791976] usercpu_time_millis 3253.214458000002 usercpu_time_millis 3273.182739000731 usercpu_time_millis 3271.7385940004533 usercpu_time_millis 3278.392426999744 usercpu_time_millis 3264.4353699997737 usercpu_time_millis 3270.2424239996617 usercpu_time_millis 3258.250340999439 usercpu_time_millis 3272.2326209996027 usercpu_time_millis 3272.7270539999154 usercpu_time_millis 3282.7297550002186 usercpu_time_millis_testing 10.448332000123628 usercpu_time_millis_testing 10.196277999966696 usercpu_time_millis_testing 10.135882000213314 usercpu_time_millis_testing 10.533364999901096 usercpu_time_millis_testing 10.476443999323237 usercpu_time_millis_testing 10.486281999874336 usercpu_time_millis_testing 10.312377999980527 usercpu_time_millis_testing 11.390836999453313 usercpu_time_millis_testing 10.040148000371119 usercpu_time_millis_testing 10.820102000252518 usercpu_time_millis_training 3242.7661259998786 usercpu_time_millis_training 3262.9864610007644 usercpu_time_millis_training 3261.60271200024 usercpu_time_millis_training 3267.859061999843 usercpu_time_millis_training 3253.9589260004504 usercpu_time_millis_training 3259.7561419997874 usercpu_time_millis_training 3247.9379629994583 usercpu_time_millis_training 3260.8417840001493 usercpu_time_millis_training 3262.6869059995443 usercpu_time_millis_training 3271.909652999966 wall_clock_time_millis 3329.113245010376 wall_clock_time_millis 3331.2249183654785 wall_clock_time_millis 3329.7362327575684 wall_clock_time_millis 3349.9720096588135 wall_clock_time_millis 3324.7103691101074 wall_clock_time_millis 3313.8978481292725 wall_clock_time_millis 3315.030097961426 wall_clock_time_millis 3331.570625305176 wall_clock_time_millis 3342.4456119537354 wall_clock_time_millis 3329.3113708496094 wall_clock_time_millis_testing 10.555267333984375 wall_clock_time_millis_testing 10.200977325439453 wall_clock_time_millis_testing 10.24174690246582 wall_clock_time_millis_testing 13.4124755859375 wall_clock_time_millis_testing 10.481119155883789 wall_clock_time_millis_testing 10.49184799194336 wall_clock_time_millis_testing 10.537385940551758 wall_clock_time_millis_testing 11.43193244934082 wall_clock_time_millis_testing 10.045766830444336 wall_clock_time_millis_testing 10.824918746948242 wall_clock_time_millis_training 3318.5579776763916 wall_clock_time_millis_training 3321.023941040039 wall_clock_time_millis_training 3319.4944858551025 wall_clock_time_millis_training 3336.559534072876 wall_clock_time_millis_training 3314.2292499542236 wall_clock_time_millis_training 3303.406000137329 wall_clock_time_millis_training 3304.492712020874 wall_clock_time_millis_training 3320.138692855835 wall_clock_time_millis_training 3332.399845123291 wall_clock_time_millis_training 3318.486452102661 weighted_recall 0.8417890520694259 [0.898305,0.772321] weighted_recall 0.8317757009345794 [0.878935,0.77381] weighted_recall 0.8451268357810414 [0.892252,0.787202] weighted_recall 0.8304405874499332 [0.887409,0.760417] weighted_recall 0.8377837116154874 [0.901937,0.758929] weighted_recall 0.8391188251001335 [0.871671,0.799107] weighted_recall 0.842456608811749 [0.905569,0.764881] weighted_recall 0.8237650200267023 [0.869091,0.768202] weighted_recall 0.8324432576769025 [0.894545,0.756315] weighted_recall 0.8344459279038718 [0.869091,0.791976]