10586202 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) 8302484 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 0.9639001459727394 19040 loss "deviance" 19040 max_depth 3 19040 max_features null 19040 max_leaf_nodes 398 19040 min_impurity_decrease 0.0 19040 min_samples_leaf 17 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 61768 19040 subsample 1.0 19040 tol 0.0001 19040 validation_fraction 0.20756586692948972 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 22098672 description https://api.openml.org/data/download/22098672/description.xml -1 22098673 predictions https://api.openml.org/data/download/22098673/predictions.arff area_under_roc_curve 0.9555356606902989 [0.955536,0.955536] average_cost 0 f_measure 0.8896671044920799 [0.900883,0.875893] kappa 0.7767957657945642 kb_relative_information_score 0.7056414568586163 mean_absolute_error 0.15358987122102843 mean_prior_absolute_error 0.4947574918117115 weighted_recall 0.8897863818424566 [0.908684,0.866577] number_of_instances 14980 [8257,6723] precision 0.8897118848434185 [0.893214,0.88541] predictive_accuracy 0.8897863818424567 prior_entropy 0.9924223735239917 relative_absolute_error 0.3104346548823554 root_mean_prior_squared_error 0.4973714869043071 root_mean_squared_error 0.28513728267263905 root_relative_squared_error 0.5732883572545819 total_cost 0 unweighted_recall 0.8876304810160129 [0.908684,0.866577] area_under_roc_curve 0.9510369825896461 [0.951037,0.951037] area_under_roc_curve 0.9577280064568201 [0.957728,0.957728] area_under_roc_curve 0.967723106191629 [0.967723,0.967723] area_under_roc_curve 0.9528547647872709 [0.952855,0.952855] area_under_roc_curve 0.9573208520696413 [0.957321,0.957321] area_under_roc_curve 0.9585044823013951 [0.958504,0.958504] area_under_roc_curve 0.9531826501787155 [0.953183,0.953183] area_under_roc_curve 0.9525057409158448 [0.952506,0.952506] area_under_roc_curve 0.9591192759692017 [0.959119,0.959119] area_under_roc_curve 0.9465009680760054 [0.946501,0.946501] 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 0.8822613914741999 [0.895113,0.866464] f_measure 0.8952421182897891 [0.904559,0.88379] f_measure 0.9017568735783444 [0.911818,0.889391] f_measure 0.8676614614175117 [0.881295,0.850904] f_measure 0.9057182173694567 [0.91572,0.893424] f_measure 0.886483032487569 [0.897343,0.873134] f_measure 0.8876936700456236 [0.899401,0.873303] f_measure 0.8890693891424031 [0.90024,0.875375] f_measure 0.8950216182013222 [0.906044,0.881509] f_measure 0.8857187643779133 [0.897297,0.871525] kappa 0.7616504239969625 kappa 0.7883537222985145 kappa 0.8012283428744741 kappa 0.7322295247724975 kappa 0.8091823183456649 kappa 0.7704789784484933 kappa 0.7727376166274748 kappa 0.7756356004843358 kappa 0.7875960254972192 kappa 0.7688459351904491 kb_relative_information_score 0.700967868947837 kb_relative_information_score 0.7112225741405912 kb_relative_information_score 0.7211706412554326 kb_relative_information_score 0.6866458770270316 kb_relative_information_score 0.7182418436217811 kb_relative_information_score 0.7138010621504856 kb_relative_information_score 0.7021036347682194 kb_relative_information_score 0.696698782338336 kb_relative_information_score 0.7081695993063458 kb_relative_information_score 0.6973956088307287 mean_absolute_error 0.15540441935523072 mean_absolute_error 0.15136292217181613 mean_absolute_error 0.14645245787923156 mean_absolute_error 0.16109740323228378 mean_absolute_error 0.14807794661208837 mean_absolute_error 0.1488155886888535 mean_absolute_error 0.15554697574316176 mean_absolute_error 0.15830123315631672 mean_absolute_error 0.15311400987699716 mean_absolute_error 0.1577257554943064 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 0.8825524591275168 [0.881455,0.883901] precision 0.8953299967848575 [0.908425,0.879234] precision 0.9018276764786878 [0.903686,0.899543] precision 0.8676994272107128 [0.872922,0.86128] precision 0.9059230845072378 [0.904368,0.907834] precision 0.8864634653674297 [0.895181,0.875749] precision 0.8877965234571353 [0.88981,0.885321] precision 0.889110293935991 [0.892729,0.884674] precision 0.8952062989379681 [0.894799,0.895706] precision 0.8857694250895825 [0.889286,0.881459] predictive_accuracy 0.8825100133511349 predictive_accuracy 0.8951935914552738 predictive_accuracy 0.9018691588785046 predictive_accuracy 0.8678237650200268 predictive_accuracy 0.9058744993324432 predictive_accuracy 0.8865153538050734 predictive_accuracy 0.8878504672897196 predictive_accuracy 0.8891855807743658 predictive_accuracy 0.8951935914552738 predictive_accuracy 0.8858477970627503 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 0.3141152239988338 relative_absolute_error 0.3059462427155084 relative_absolute_error 0.2960208390648074 relative_absolute_error 0.3256223157094923 relative_absolute_error 0.29930640043781936 relative_absolute_error 0.3007973786682673 relative_absolute_error 0.3144033698051964 relative_absolute_error 0.31992628453007677 relative_absolute_error 0.3094429229182193 relative_absolute_error 0.3187632460207354 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 0.29267761972491485 root_mean_squared_error 0.28127685458010654 root_mean_squared_error 0.26720443345221023 root_mean_squared_error 0.2987009211622943 root_mean_squared_error 0.2781044309042957 root_mean_squared_error 0.28058378273740053 root_mean_squared_error 0.28817992726135183 root_mean_squared_error 0.2905803858490681 root_mean_squared_error 0.2792258430484591 root_mean_squared_error 0.29345247649802075 root_relative_squared_error 0.588473119670474 root_relative_squared_error 0.5655501375931238 root_relative_squared_error 0.5372553825304262 root_relative_squared_error 0.6005838884778116 root_relative_squared_error 0.5591714945688449 root_relative_squared_error 0.5641566106476187 root_relative_squared_error 0.5794298210477813 root_relative_squared_error 0.5841756050104734 root_relative_squared_error 0.5613487136124821 root_relative_squared_error 0.589949584859782 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 0.8794516747376917 [0.909201,0.849702] unweighted_recall 0.8945596246973365 [0.900726,0.888393] unweighted_recall 0.899780569007264 [0.920097,0.879464] unweighted_recall 0.8653021589991929 [0.889831,0.840774] unweighted_recall 0.9034125302663438 [0.927361,0.879464] unweighted_recall 0.8850257263922519 [0.899516,0.870536] unweighted_recall 0.8854040556900726 [0.909201,0.861607] unweighted_recall 0.8870746093925885 [0.907879,0.86627] unweighted_recall 0.8926660362915935 [0.917576,0.867756] unweighted_recall 0.8836336620289071 [0.905455,0.861813] usercpu_time_millis 3815.373732999433 usercpu_time_millis 3842.8956569996444 usercpu_time_millis 3913.8940570010163 usercpu_time_millis 3927.6710940002886 usercpu_time_millis 3864.6363570005633 usercpu_time_millis 3907.5142930005313 usercpu_time_millis 3837.2295680001116 usercpu_time_millis 3837.625616999503 usercpu_time_millis 3841.6287850004665 usercpu_time_millis 3780.5777060002583 usercpu_time_millis_testing 10.318607999579399 usercpu_time_millis_testing 10.81496899951162 usercpu_time_millis_testing 10.156533000554191 usercpu_time_millis_testing 10.322930000256747 usercpu_time_millis_testing 10.176886999943235 usercpu_time_millis_testing 10.19806200019957 usercpu_time_millis_testing 10.205616999883205 usercpu_time_millis_testing 10.280806999617198 usercpu_time_millis_testing 11.193069000000833 usercpu_time_millis_testing 6.801927999731561 usercpu_time_millis_training 3805.0551249998534 usercpu_time_millis_training 3832.080688000133 usercpu_time_millis_training 3903.737524000462 usercpu_time_millis_training 3917.348164000032 usercpu_time_millis_training 3854.45947000062 usercpu_time_millis_training 3897.3162310003318 usercpu_time_millis_training 3827.0239510002284 usercpu_time_millis_training 3827.344809999886 usercpu_time_millis_training 3830.4357160004656 usercpu_time_millis_training 3773.7757780005268 wall_clock_time_millis 3871.9143867492676 wall_clock_time_millis 3933.6414337158203 wall_clock_time_millis 3973.942756652832 wall_clock_time_millis 4015.4762268066406 wall_clock_time_millis 3948.985815048218 wall_clock_time_millis 4000.974655151367 wall_clock_time_millis 3891.289472579956 wall_clock_time_millis 3923.715353012085 wall_clock_time_millis 3897.562265396118 wall_clock_time_millis 3853.0259132385254 wall_clock_time_millis_testing 10.322809219360352 wall_clock_time_millis_testing 10.819435119628906 wall_clock_time_millis_testing 10.16092300415039 wall_clock_time_millis_testing 10.404109954833984 wall_clock_time_millis_testing 10.181427001953125 wall_clock_time_millis_testing 10.32567024230957 wall_clock_time_millis_testing 10.234832763671875 wall_clock_time_millis_testing 10.285139083862305 wall_clock_time_millis_testing 11.55543327331543 wall_clock_time_millis_testing 6.815910339355469 wall_clock_time_millis_training 3861.591577529907 wall_clock_time_millis_training 3922.8219985961914 wall_clock_time_millis_training 3963.7818336486816 wall_clock_time_millis_training 4005.0721168518066 wall_clock_time_millis_training 3938.8043880462646 wall_clock_time_millis_training 3990.6489849090576 wall_clock_time_millis_training 3881.054639816284 wall_clock_time_millis_training 3913.4302139282227 wall_clock_time_millis_training 3886.0068321228027 wall_clock_time_millis_training 3846.21000289917 weighted_recall 0.8825100133511349 [0.909201,0.849702] weighted_recall 0.8951935914552737 [0.900726,0.888393] weighted_recall 0.9018691588785047 [0.920097,0.879464] weighted_recall 0.8678237650200267 [0.889831,0.840774] weighted_recall 0.9058744993324432 [0.927361,0.879464] weighted_recall 0.8865153538050734 [0.899516,0.870536] weighted_recall 0.8878504672897196 [0.909201,0.861607] weighted_recall 0.8891855807743658 [0.907879,0.86627] weighted_recall 0.8951935914552737 [0.917576,0.867756] weighted_recall 0.8858477970627503 [0.905455,0.861813]