10586171 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) 8302453 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 0.752329101007675 19040 loss "deviance" 19040 max_depth 3 19040 max_features null 19040 max_leaf_nodes 427 19040 min_impurity_decrease 0.0 19040 min_samples_leaf 87 19040 min_samples_split 2 19040 min_weight_fraction_leaf 0.0 19040 n_estimators 100 19040 n_iter_no_change 12 19040 random_state 29526 19040 subsample 1.0 19040 tol 0.0001 19040 validation_fraction 0.09107777183500411 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 22098610 description https://api.openml.org/data/download/22098610/description.xml -1 22098611 predictions https://api.openml.org/data/download/22098611/predictions.arff area_under_roc_curve 0.956221965087754 [0.956222,0.956222] average_cost 0 f_measure 0.88463873574865 [0.896486,0.870089] kappa 0.7666013331036611 kb_relative_information_score 0.6767705062379649 mean_absolute_error 0.17045531025342642 mean_prior_absolute_error 0.4947574918117115 weighted_recall 0.8847797062750333 [0.905171,0.859735] number_of_instances 14980 [8257,6723] precision 0.884702055766403 [0.887965,0.880695] predictive_accuracy 0.8847797062750334 prior_entropy 0.9924223735239917 relative_absolute_error 0.3445229492720771 root_mean_prior_squared_error 0.4973714869043071 root_mean_squared_error 0.2865681249980437 root_relative_squared_error 0.5761651653609541 total_cost 0 unweighted_recall 0.8824533034960794 [0.905171,0.859735] area_under_roc_curve 0.9559624697336562 [0.955962,0.955962] area_under_roc_curve 0.9640136775049004 [0.964014,0.964014] area_under_roc_curve 0.9648279862792576 [0.964828,0.964828] area_under_roc_curve 0.9507559379684078 [0.950756,0.950756] area_under_roc_curve 0.9535609794765365 [0.953561,0.953561] area_under_roc_curve 0.9522638504554364 [0.952264,0.952264] area_under_roc_curve 0.9605906981436643 [0.960591,0.960591] area_under_roc_curve 0.9487000765455444 [0.9487,0.9487] area_under_roc_curve 0.958422261245441 [0.958422,0.958422] area_under_roc_curve 0.9546382097347922 [0.954638,0.954638] 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 0.8863760022271564 [0.898082,0.871988] f_measure 0.8911329641427634 [0.901748,0.878085] f_measure 0.8910816544090663 [0.902102,0.877536] f_measure 0.8694885981176458 [0.884135,0.851485] f_measure 0.8767635267664442 [0.891124,0.859112] f_measure 0.8785833648367323 [0.88916,0.865583] f_measure 0.8943028400734295 [0.90584,0.880121] f_measure 0.8818177071595257 [0.892922,0.868206] f_measure 0.8937557732965247 [0.90439,0.88072] f_measure 0.8829651300728498 [0.895397,0.867725] kappa 0.7700960566228513 kappa 0.7798381701359522 kappa 0.7796545930034238 kappa 0.7357355455639288 kappa 0.7503993508963208 kappa 0.7547540488124322 kappa 0.7860270851790911 kappa 0.7611284385321002 kappa 0.7851262185671471 kappa 0.7631789577525354 kb_relative_information_score 0.6777040338251312 kb_relative_information_score 0.6908539410934498 kb_relative_information_score 0.6855331800873786 kb_relative_information_score 0.663086898090314 kb_relative_information_score 0.6725944522337816 kb_relative_information_score 0.6695955087473062 kb_relative_information_score 0.6855668750973918 kb_relative_information_score 0.664843163477449 kb_relative_information_score 0.6815608212568081 kb_relative_information_score 0.6763676921834738 mean_absolute_error 0.16997074196816753 mean_absolute_error 0.16345865487500533 mean_absolute_error 0.16651277567618483 mean_absolute_error 0.17683507657607617 mean_absolute_error 0.17210461006901345 mean_absolute_error 0.17351079433115038 mean_absolute_error 0.16699772045617214 mean_absolute_error 0.17626532913076776 mean_absolute_error 0.168482495193365 mean_absolute_error 0.17041490425836897 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 0.8864413699079606 [0.889549,0.882622] precision 0.8911169780258389 [0.897959,0.882707] precision 0.8911108234938274 [0.895113,0.886191] precision 0.8699077676626296 [0.868145,0.872075] precision 0.8775077103622683 [0.871528,0.884858] precision 0.8787407897628862 [0.894608,0.859238] precision 0.8946269459198017 [0.892019,0.897833] precision 0.8818000899317195 [0.891304,0.870149] precision 0.8937892190189606 [0.897375,0.889394] precision 0.8831748402805095 [0.883255,0.883077] predictive_accuracy 0.8865153538050734 predictive_accuracy 0.891188251001335 predictive_accuracy 0.891188251001335 predictive_accuracy 0.869826435246996 predictive_accuracy 0.87716955941255 predictive_accuracy 0.8785046728971964 predictive_accuracy 0.8945260347129507 predictive_accuracy 0.8818424566088118 predictive_accuracy 0.8938584779706276 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 0.343557782385433 relative_absolute_error 0.33039505699798594 relative_absolute_error 0.33656827809145484 relative_absolute_error 0.3574324972224509 relative_absolute_error 0.3478709187766769 relative_absolute_error 0.3507132052851134 relative_absolute_error 0.33754848533925896 relative_absolute_error 0.3562316648828166 relative_absolute_error 0.3405025824552076 relative_absolute_error 0.344407974978262 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 0.2866286659932771 root_mean_squared_error 0.2745371914710968 root_mean_squared_error 0.27550589802686126 root_mean_squared_error 0.29572421518450753 root_mean_squared_error 0.29161214229775445 root_mean_squared_error 0.2952313823864124 root_mean_squared_error 0.2777788620779368 root_mean_squared_error 0.29645301866507473 root_mean_squared_error 0.28306106694380295 root_mean_squared_error 0.2880306631095906 root_relative_squared_error 0.5763107730019965 root_relative_squared_error 0.5519990140770357 root_relative_squared_error 0.5539467467716358 root_relative_squared_error 0.5945987658205467 root_relative_squared_error 0.5863308143377708 root_relative_squared_error 0.5936078501009111 root_relative_squared_error 0.5585168886475074 root_relative_squared_error 0.5959818004571165 root_relative_squared_error 0.5690589526668719 root_relative_squared_error 0.5790497056157465 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 0.8841934019370461 [0.90678,0.861607] unweighted_recall 0.8895404560129136 [0.905569,0.873512] unweighted_recall 0.8891242937853108 [0.909201,0.869048] unweighted_recall 0.8662858151735271 [0.900726,0.831845] unweighted_recall 0.8732218523002422 [0.911622,0.834821] unweighted_recall 0.8779005246166263 [0.883777,0.872024] unweighted_recall 0.8915960451977402 [0.920097,0.863095] unweighted_recall 0.8804079427259219 [0.894545,0.86627] unweighted_recall 0.8918645594128507 [0.911515,0.872214] unweighted_recall 0.880388130937908 [0.907879,0.852897] usercpu_time_millis 4284.649346000151 usercpu_time_millis 4314.197220999631 usercpu_time_millis 4299.364076000529 usercpu_time_millis 4310.72996399962 usercpu_time_millis 4271.813558000758 usercpu_time_millis 4270.090885001082 usercpu_time_millis 4264.660116000414 usercpu_time_millis 4270.29070000026 usercpu_time_millis 4245.719286998792 usercpu_time_millis 4272.993017000772 usercpu_time_millis_testing 10.504341999876488 usercpu_time_millis_testing 10.72876099988207 usercpu_time_millis_testing 10.431759000312013 usercpu_time_millis_testing 11.410135000005539 usercpu_time_millis_testing 10.749527000371017 usercpu_time_millis_testing 10.539067000536306 usercpu_time_millis_testing 10.128564000297047 usercpu_time_millis_testing 10.723254000367888 usercpu_time_millis_testing 11.140645999148546 usercpu_time_millis_testing 7.143689000258746 usercpu_time_millis_training 4274.145004000275 usercpu_time_millis_training 4303.468459999749 usercpu_time_millis_training 4288.932317000217 usercpu_time_millis_training 4299.319828999614 usercpu_time_millis_training 4261.064031000387 usercpu_time_millis_training 4259.551818000546 usercpu_time_millis_training 4254.531552000117 usercpu_time_millis_training 4259.567445999892 usercpu_time_millis_training 4234.5786409996435 usercpu_time_millis_training 4265.849328000513 wall_clock_time_millis 4370.297193527222 wall_clock_time_millis 4400.330066680908 wall_clock_time_millis 4389.8303508758545 wall_clock_time_millis 4414.795160293579 wall_clock_time_millis 4352.077960968018 wall_clock_time_millis 4344.995021820068 wall_clock_time_millis 4344.801425933838 wall_clock_time_millis 4345.289468765259 wall_clock_time_millis 4343.026399612427 wall_clock_time_millis 4344.055414199829 wall_clock_time_millis_testing 10.510921478271484 wall_clock_time_millis_testing 10.760068893432617 wall_clock_time_millis_testing 10.439157485961914 wall_clock_time_millis_testing 16.536712646484375 wall_clock_time_millis_testing 10.7574462890625 wall_clock_time_millis_testing 10.689258575439453 wall_clock_time_millis_testing 10.134458541870117 wall_clock_time_millis_testing 10.742902755737305 wall_clock_time_millis_testing 11.275291442871094 wall_clock_time_millis_testing 7.14874267578125 wall_clock_time_millis_training 4359.78627204895 wall_clock_time_millis_training 4389.569997787476 wall_clock_time_millis_training 4379.391193389893 wall_clock_time_millis_training 4398.258447647095 wall_clock_time_millis_training 4341.320514678955 wall_clock_time_millis_training 4334.305763244629 wall_clock_time_millis_training 4334.666967391968 wall_clock_time_millis_training 4334.5465660095215 wall_clock_time_millis_training 4331.751108169556 wall_clock_time_millis_training 4336.906671524048 weighted_recall 0.8865153538050734 [0.90678,0.861607] weighted_recall 0.8911882510013351 [0.905569,0.873512] weighted_recall 0.8911882510013351 [0.909201,0.869048] weighted_recall 0.869826435246996 [0.900726,0.831845] weighted_recall 0.87716955941255 [0.911622,0.834821] weighted_recall 0.8785046728971962 [0.883777,0.872024] weighted_recall 0.8945260347129506 [0.920097,0.863095] weighted_recall 0.8818424566088118 [0.894545,0.86627] weighted_recall 0.8938584779706275 [0.911515,0.872214] weighted_recall 0.883177570093458 [0.907879,0.852897]