10586259 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) 8302541 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 0.4023157093244864 19040 loss "deviance" 19040 max_depth 3 19040 max_features null 19040 max_leaf_nodes 347 19040 min_impurity_decrease 0.0 19040 min_samples_leaf 179 19040 min_samples_split 2 19040 min_weight_fraction_leaf 0.0 19040 n_estimators 100 19040 n_iter_no_change 7 19040 random_state 44398 19040 subsample 1.0 19040 tol 0.0001 19040 validation_fraction 0.20627279887000857 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 22098786 description https://api.openml.org/data/download/22098786/description.xml -1 22098787 predictions https://api.openml.org/data/download/22098787/predictions.arff area_under_roc_curve 0.9371331084838864 [0.937133,0.937133] average_cost 0 f_measure 0.8623324217600906 [0.877712,0.843443] kappa 0.7212744287601376 kb_relative_information_score 0.5641890438769327 mean_absolute_error 0.23215391400465338 mean_prior_absolute_error 0.4947574918117115 weighted_recall 0.8626835781041389 [0.894029,0.824186] number_of_instances 14980 [8257,6723] precision 0.8627172253761777 [0.86198,0.863622] predictive_accuracy 0.8626835781041389 prior_entropy 0.9924223735239917 relative_absolute_error 0.4692276880023548 root_mean_prior_squared_error 0.4973714869043071 root_mean_squared_error 0.3187801542989785 root_relative_squared_error 0.640929692779737 total_cost 0 unweighted_recall 0.8591074699400457 [0.894029,0.824186] area_under_roc_curve 0.9414076011760636 [0.941408,0.941408] area_under_roc_curve 0.9394736178369653 [0.939474,0.939474] area_under_roc_curve 0.9501857416695492 [0.950186,0.950186] area_under_roc_curve 0.934654423209962 [0.934654,0.934654] area_under_roc_curve 0.9332167718782428 [0.933217,0.933217] area_under_roc_curve 0.9369847515277298 [0.936985,0.936985] area_under_roc_curve 0.9455313905223106 [0.945531,0.945531] area_under_roc_curve 0.9318618578053942 [0.931862,0.931862] area_under_roc_curve 0.9304065919221937 [0.930407,0.930407] area_under_roc_curve 0.9289891485433832 [0.928989,0.928989] 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 0.8720617622733867 [0.887049,0.85364] f_measure 0.8581517673683113 [0.87381,0.838906] f_measure 0.878949924125543 [0.89194,0.862983] f_measure 0.8551399407939172 [0.87309,0.833076] f_measure 0.8492227561285667 [0.867257,0.827056] f_measure 0.8624639815209209 [0.875453,0.846498] f_measure 0.878681388044957 [0.893341,0.860662] f_measure 0.8543434538484519 [0.868833,0.836582] f_measure 0.8566152932913147 [0.873522,0.83589] f_measure 0.8575518440315256 [0.872684,0.839002] kappa 0.7408675364854755 kappa 0.7128171367802704 kappa 0.7549814657844465 kappa 0.7064993777461713 kappa 0.6945688441191022 kappa 0.7219517117844438 kappa 0.7542290072461009 kappa 0.7054335727287652 kappa 0.7096441698231808 kappa 0.7117549600073715 kb_relative_information_score 0.5741276738405908 kb_relative_information_score 0.5664399281455809 kb_relative_information_score 0.5834670171953307 kb_relative_information_score 0.5600769842250091 kb_relative_information_score 0.5530377707710009 kb_relative_information_score 0.5566078672349589 kb_relative_information_score 0.578582676777129 kb_relative_information_score 0.5535850049135549 kb_relative_information_score 0.5554384488858674 kb_relative_information_score 0.5605316561938417 mean_absolute_error 0.22799437281335042 mean_absolute_error 0.23092704849570833 mean_absolute_error 0.22337639951662958 mean_absolute_error 0.23322102467040126 mean_absolute_error 0.23703785094110455 mean_absolute_error 0.23592341402741643 mean_absolute_error 0.22640208722355434 mean_absolute_error 0.23646597791319465 mean_absolute_error 0.23644797523236424 mean_absolute_error 0.2337429892128185 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 0.8728321139140784 [0.867052,0.879937] precision 0.8584341964148919 [0.859485,0.857143] precision 0.8791479032375181 [0.879859,0.878274] precision 0.8564214275550338 [0.848174,0.866559] precision 0.8500731803770754 [0.8458,0.855326] precision 0.8624477504122351 [0.874396,0.847761] precision 0.8798115716499694 [0.870264,0.891547] precision 0.8543250009478403 [0.862605,0.844175] precision 0.8574609110913872 [0.852364,0.863708] precision 0.8577028926812914 [0.860849,0.853846] predictive_accuracy 0.8724966622162884 predictive_accuracy 0.8584779706275033 predictive_accuracy 0.8791722296395195 predictive_accuracy 0.855807743658211 predictive_accuracy 0.8497997329773032 predictive_accuracy 0.8624833110814418 predictive_accuracy 0.8791722296395195 predictive_accuracy 0.8544726301735648 predictive_accuracy 0.8571428571428571 predictive_accuracy 0.8578104138851802 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 0.4608395551675711 relative_absolute_error 0.46676730215637496 relative_absolute_error 0.4515053565486482 relative_absolute_error 0.47140406115558037 relative_absolute_error 0.4791189205138979 relative_absolute_error 0.47686633592056316 relative_absolute_error 0.45762110651093657 relative_absolute_error 0.4778969830060406 relative_absolute_error 0.4778605996458177 relative_absolute_error 0.47239383157532183 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 0.31330926791985675 root_mean_squared_error 0.31680134502141 root_mean_squared_error 0.30508437181238285 root_mean_squared_error 0.3222613079637984 root_mean_squared_error 0.32486199948107597 root_mean_squared_error 0.3209641564366661 root_mean_squared_error 0.30924422331173496 root_mean_squared_error 0.3250802096233134 root_mean_squared_error 0.3251168792097546 root_mean_squared_error 0.32432981320070636 root_relative_squared_error 0.6299562039890924 root_relative_squared_error 0.6369775591170053 root_relative_squared_error 0.6134187923623342 root_relative_squared_error 0.6479556497172103 root_relative_squared_error 0.6531847377899892 root_relative_squared_error 0.6453475281718242 root_relative_squared_error 0.6217828100535073 root_relative_squared_error 0.6535331955690556 root_relative_squared_error 0.653606915196697 root_relative_squared_error 0.6520246172013405 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 0.8684296811945118 [0.90799,0.828869] unweighted_recall 0.8550242130750605 [0.88862,0.821429] unweighted_recall 0.8762863196125907 [0.904358,0.848214] unweighted_recall 0.8507995359160614 [0.899516,0.802083] unweighted_recall 0.8452128732849071 [0.889831,0.800595] unweighted_recall 0.8608757062146892 [0.876513,0.845238] unweighted_recall 0.8747603914447135 [0.917676,0.831845] unweighted_recall 0.8521374217659508 [0.875152,0.829123] unweighted_recall 0.8527822054122203 [0.895758,0.809807] unweighted_recall 0.8547570804628755 [0.884848,0.824666] usercpu_time_millis 3739.7089200003393 usercpu_time_millis 3734.709090001161 usercpu_time_millis 3709.786083999461 usercpu_time_millis 3707.1843059993626 usercpu_time_millis 3686.656132999815 usercpu_time_millis 3696.777858999667 usercpu_time_millis 3721.3241639992702 usercpu_time_millis 3720.58517700043 usercpu_time_millis 3750.3652900004454 usercpu_time_millis 3723.706469998433 usercpu_time_millis_testing 11.047850999602815 usercpu_time_millis_testing 10.520372000428324 usercpu_time_millis_testing 10.4254090001632 usercpu_time_millis_testing 9.602767999240314 usercpu_time_millis_testing 10.071692999190418 usercpu_time_millis_testing 10.065310999380017 usercpu_time_millis_testing 10.588086999632651 usercpu_time_millis_testing 10.797130000355537 usercpu_time_millis_testing 10.261471000376332 usercpu_time_millis_testing 9.761564999280381 usercpu_time_millis_training 3728.6610690007365 usercpu_time_millis_training 3724.1887180007325 usercpu_time_millis_training 3699.3606749992978 usercpu_time_millis_training 3697.5815380001222 usercpu_time_millis_training 3676.5844400006245 usercpu_time_millis_training 3686.712548000287 usercpu_time_millis_training 3710.7360769996376 usercpu_time_millis_training 3709.7880470000746 usercpu_time_millis_training 3740.103819000069 usercpu_time_millis_training 3713.9449049991526 wall_clock_time_millis 3787.5537872314453 wall_clock_time_millis 3841.273069381714 wall_clock_time_millis 3770.625114440918 wall_clock_time_millis 3787.7449989318848 wall_clock_time_millis 3774.7604846954346 wall_clock_time_millis 3782.6437950134277 wall_clock_time_millis 3789.2415523529053 wall_clock_time_millis 3770.6143856048584 wall_clock_time_millis 3829.0188312530518 wall_clock_time_millis 3783.017873764038 wall_clock_time_millis_testing 11.052370071411133 wall_clock_time_millis_testing 10.52999496459961 wall_clock_time_millis_testing 10.44154167175293 wall_clock_time_millis_testing 9.607076644897461 wall_clock_time_millis_testing 10.077953338623047 wall_clock_time_millis_testing 10.164976119995117 wall_clock_time_millis_testing 10.638236999511719 wall_clock_time_millis_testing 10.818719863891602 wall_clock_time_millis_testing 10.270357131958008 wall_clock_time_millis_testing 9.860038757324219 wall_clock_time_millis_training 3776.501417160034 wall_clock_time_millis_training 3830.7430744171143 wall_clock_time_millis_training 3760.183572769165 wall_clock_time_millis_training 3778.1379222869873 wall_clock_time_millis_training 3764.6825313568115 wall_clock_time_millis_training 3772.4788188934326 wall_clock_time_millis_training 3778.6033153533936 wall_clock_time_millis_training 3759.795665740967 wall_clock_time_millis_training 3818.7484741210938 wall_clock_time_millis_training 3773.157835006714 weighted_recall 0.8724966622162884 [0.90799,0.828869] weighted_recall 0.8584779706275033 [0.88862,0.821429] weighted_recall 0.8791722296395194 [0.904358,0.848214] weighted_recall 0.855807743658211 [0.899516,0.802083] weighted_recall 0.849799732977303 [0.889831,0.800595] weighted_recall 0.8624833110814419 [0.876513,0.845238] weighted_recall 0.8791722296395194 [0.917676,0.831845] weighted_recall 0.8544726301735648 [0.875152,0.829123] weighted_recall 0.8571428571428571 [0.895758,0.809807] weighted_recall 0.8578104138851802 [0.884848,0.824666]