10586277 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) 8302559 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 0.6502880395338202 19040 loss "deviance" 19040 max_depth 3 19040 max_features null 19040 max_leaf_nodes 287 19040 min_impurity_decrease 0.0 19040 min_samples_leaf 190 19040 min_samples_split 2 19040 min_weight_fraction_leaf 0.0 19040 n_estimators 100 19040 n_iter_no_change 16 19040 random_state 37 19040 subsample 1.0 19040 tol 0.0001 19040 validation_fraction 0.17176121443846043 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 22098822 description https://api.openml.org/data/download/22098822/description.xml -1 22098823 predictions https://api.openml.org/data/download/22098823/predictions.arff area_under_roc_curve 0.9464253742325216 [0.946425,0.946425] average_cost 0 f_measure 0.875414002867436 [0.88869,0.859109] kappa 0.7478555141173495 kb_relative_information_score 0.633546190812552 mean_absolute_error 0.1940835278839258 mean_prior_absolute_error 0.4947574918117115 weighted_recall 0.8756341789052069 [0.90069,0.844861] number_of_instances 14980 [8257,6723] precision 0.8755871589066021 [0.877005,0.873846] predictive_accuracy 0.875634178905207 prior_entropy 0.9924223735239917 relative_absolute_error 0.3922801192423128 root_mean_prior_squared_error 0.4973714869043071 root_mean_squared_error 0.3011497961127918 root_relative_squared_error 0.6054826302713493 total_cost 0 unweighted_recall 0.8727756242721031 [0.90069,0.844861] area_under_roc_curve 0.9474788856220453 [0.947479,0.947479] area_under_roc_curve 0.9482499567623661 [0.94825,0.94825] area_under_roc_curve 0.962123832583881 [0.962124,0.962124] area_under_roc_curve 0.942490343595065 [0.94249,0.94249] area_under_roc_curve 0.9422435287674392 [0.942244,0.942244] area_under_roc_curve 0.942757876455667 [0.942758,0.942758] area_under_roc_curve 0.9514711604980974 [0.951471,0.951471] area_under_roc_curve 0.9412958710432708 [0.941296,0.941296] area_under_roc_curve 0.9445432032059076 [0.944543,0.944543] area_under_roc_curve 0.9427565401413841 [0.942757,0.942757] 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 0.8782246304765692 [0.891667,0.861702] f_measure 0.8802655987371575 [0.893262,0.864291] f_measure 0.8891208237730147 [0.9,0.875749] f_measure 0.8707756080007031 [0.885596,0.852559] f_measure 0.8734278701284348 [0.888099,0.855394] f_measure 0.8598509468166653 [0.872573,0.844214] f_measure 0.8922444322920049 [0.904337,0.87738] f_measure 0.8643328021562362 [0.878078,0.847483] f_measure 0.8703582017688326 [0.883413,0.854354] f_measure 0.8754790462172339 [0.889549,0.858232] kappa 0.7534562211981567 kappa 0.7576213917819314 kappa 0.7757549742450258 kappa 0.7383001102507889 kappa 0.7436524737289103 kappa 0.7167885051676329 kappa 0.7818124247989362 kappa 0.7255890341734572 kappa 0.7377910029756696 kappa 0.7479122974951188 kb_relative_information_score 0.6431626972914987 kb_relative_information_score 0.6382139003232368 kb_relative_information_score 0.6543587176202235 kb_relative_information_score 0.6207022977950349 kb_relative_information_score 0.6286119002242574 kb_relative_information_score 0.6204244543831784 kb_relative_information_score 0.6399806856820929 kb_relative_information_score 0.6310139952579914 kb_relative_information_score 0.623808404748554 kb_relative_information_score 0.6351869746392876 mean_absolute_error 0.1894209105678721 mean_absolute_error 0.19185820709987594 mean_absolute_error 0.18490591886193858 mean_absolute_error 0.19997319131411265 mean_absolute_error 0.1964682715190892 mean_absolute_error 0.1990571376692772 mean_absolute_error 0.192846480989446 mean_absolute_error 0.19452291574885347 mean_absolute_error 0.19860535245336305 mean_absolute_error 0.19317689261543136 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 0.8785679551828192 [0.877049,0.880435] precision 0.8805214981685386 [0.880141,0.880989] precision 0.8891072931543291 [0.895683,0.881024] precision 0.871357467957813 [0.867596,0.875981] precision 0.8741097338033361 [0.869061,0.880315] precision 0.8599011478969709 [0.874696,0.841716] precision 0.8927430260494643 [0.887981,0.898596] precision 0.8643548540911691 [0.870238,0.857143] precision 0.8703761090951057 [0.876043,0.863429] precision 0.8760414428686459 [0.871944,0.881064] predictive_accuracy 0.8785046728971964 predictive_accuracy 0.8805073431241656 predictive_accuracy 0.8891855807743658 predictive_accuracy 0.8711615487316422 predictive_accuracy 0.8738317757009345 predictive_accuracy 0.8598130841121495 predictive_accuracy 0.8925233644859812 predictive_accuracy 0.8644859813084111 predictive_accuracy 0.8704939919893191 predictive_accuracy 0.8758344459279038 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 0.38287194147987735 relative_absolute_error 0.3877983904784219 relative_absolute_error 0.37374589707942607 relative_absolute_error 0.40420101335605857 relative_absolute_error 0.3971166030730078 relative_absolute_error 0.402349416103958 relative_absolute_error 0.38979596477831935 relative_absolute_error 0.39313018888510504 relative_absolute_error 0.40138078037236946 relative_absolute_error 0.3904098804492129 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 0.29730279568064816 root_mean_squared_error 0.2985854272911477 root_mean_squared_error 0.28078443308251494 root_mean_squared_error 0.30791399793843305 root_mean_squared_error 0.30656750482582057 root_mean_squared_error 0.30977220456688653 root_mean_squared_error 0.29228728361888134 root_mean_squared_error 0.3073575182569191 root_mean_squared_error 0.30638688388431656 root_mean_squared_error 0.3033199346261907 root_relative_squared_error 0.5977727433528499 root_relative_squared_error 0.600351670385016 root_relative_squared_error 0.564560048856059 root_relative_squared_error 0.6191081884817331 root_relative_squared_error 0.6164008581319147 root_relative_squared_error 0.6228443971220321 root_relative_squared_error 0.5876882892271573 root_relative_squared_error 0.6179039361435591 root_relative_squared_error 0.6159525968602754 root_relative_squared_error 0.6097868780931018 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 0.8752648305084746 [0.90678,0.84375] unweighted_recall 0.8774969733656175 [0.90678,0.848214] unweighted_recall 0.8874470338983051 [0.904358,0.870536] unweighted_recall 0.8673577481840193 [0.904358,0.830357] unweighted_recall 0.8699177764326069 [0.90799,0.831845] unweighted_recall 0.8585931194511702 [0.87046,0.846726] unweighted_recall 0.889225181598063 [0.921308,0.857143] unweighted_recall 0.8620496195236166 [0.886061,0.838039] unweighted_recall 0.8681885722004592 [0.890909,0.845468] unweighted_recall 0.8722157683821874 [0.907879,0.836553] usercpu_time_millis 3885.999248999724 usercpu_time_millis 3901.080323000315 usercpu_time_millis 3882.434992000526 usercpu_time_millis 3867.463276000308 usercpu_time_millis 3871.8174449995786 usercpu_time_millis 3871.7419419999715 usercpu_time_millis 3867.596005999985 usercpu_time_millis 3863.540135999756 usercpu_time_millis 3819.6929720006665 usercpu_time_millis 3815.4347190002227 usercpu_time_millis_testing 10.24410199988779 usercpu_time_millis_testing 11.129305000395107 usercpu_time_millis_testing 10.049395000351069 usercpu_time_millis_testing 10.08624900077848 usercpu_time_millis_testing 10.466912999618216 usercpu_time_millis_testing 10.548322000431654 usercpu_time_millis_testing 10.191917000156536 usercpu_time_millis_testing 10.583891000351286 usercpu_time_millis_testing 10.687223000786616 usercpu_time_millis_testing 6.991213000219432 usercpu_time_millis_training 3875.755146999836 usercpu_time_millis_training 3889.9510179999197 usercpu_time_millis_training 3872.385597000175 usercpu_time_millis_training 3857.3770269995293 usercpu_time_millis_training 3861.3505319999604 usercpu_time_millis_training 3861.19361999954 usercpu_time_millis_training 3857.4040889998287 usercpu_time_millis_training 3852.9562449994046 usercpu_time_millis_training 3809.00574899988 usercpu_time_millis_training 3808.4435060000033 wall_clock_time_millis 3978.3973693847656 wall_clock_time_millis 3987.800359725952 wall_clock_time_millis 3948.726177215576 wall_clock_time_millis 3948.981285095215 wall_clock_time_millis 3925.4391193389893 wall_clock_time_millis 3960.2644443511963 wall_clock_time_millis 3936.706066131592 wall_clock_time_millis 3931.1177730560303 wall_clock_time_millis 3875.5664825439453 wall_clock_time_millis 3890.6619548797607 wall_clock_time_millis_testing 10.248422622680664 wall_clock_time_millis_testing 11.15870475769043 wall_clock_time_millis_testing 10.159015655517578 wall_clock_time_millis_testing 10.750055313110352 wall_clock_time_millis_testing 10.482549667358398 wall_clock_time_millis_testing 10.560274124145508 wall_clock_time_millis_testing 10.198354721069336 wall_clock_time_millis_testing 10.594844818115234 wall_clock_time_millis_testing 10.694503784179688 wall_clock_time_millis_testing 6.995916366577148 wall_clock_time_millis_training 3968.148946762085 wall_clock_time_millis_training 3976.6416549682617 wall_clock_time_millis_training 3938.5671615600586 wall_clock_time_millis_training 3938.2312297821045 wall_clock_time_millis_training 3914.956569671631 wall_clock_time_millis_training 3949.704170227051 wall_clock_time_millis_training 3926.5077114105225 wall_clock_time_millis_training 3920.522928237915 wall_clock_time_millis_training 3864.8719787597656 wall_clock_time_millis_training 3883.6660385131836 weighted_recall 0.8785046728971962 [0.90678,0.84375] weighted_recall 0.8805073431241656 [0.90678,0.848214] weighted_recall 0.8891855807743658 [0.904358,0.870536] weighted_recall 0.8711615487316422 [0.904358,0.830357] weighted_recall 0.8738317757009346 [0.90799,0.831845] weighted_recall 0.8598130841121495 [0.87046,0.846726] weighted_recall 0.8925233644859814 [0.921308,0.857143] weighted_recall 0.8644859813084113 [0.886061,0.838039] weighted_recall 0.8704939919893191 [0.890909,0.845468] weighted_recall 0.8758344459279038 [0.907879,0.836553]