10590980 32117 VAIBHAV JAISWAL 9983 Supervised Classification 19170 sklearn.pipeline.Pipeline(numerical=sklearn.pipeline.Pipeline(Imputer=sklearn.impute._base.SimpleImputer,scaler=sklearn.preprocessing._data.StandardScaler),model=sklearn.ensemble._gb.GradientBoostingClassifier)(1) 8304390 Python_3.7.7. Sklearn_1.0.2. NumPy_1.21.6. SciPy_1.7.3. copy true 19075 with_mean true 19075 with_std true 19075 add_indicator false 19084 copy true 19084 fill_value null 19084 missing_values NaN 19084 strategy "mean" 19084 verbose 0 19084 memory null 19156 steps [{"oml-python:serialized_object": "component_reference", "value": {"key": "Imputer", "step_name": "Imputer"}}, {"oml-python:serialized_object": "component_reference", "value": {"key": "scaler", "step_name": "scaler"}}] 19156 verbose false 19156 memory null 19170 steps [{"oml-python:serialized_object": "component_reference", "value": {"key": "numerical", "step_name": "numerical"}}, {"oml-python:serialized_object": "component_reference", "value": {"key": "model", "step_name": "model"}}] 19170 verbose false 19170 ccp_alpha 0.0 19171 criterion "friedman_mse" 19171 init null 19171 learning_rate 0.1 19171 loss "deviance" 19171 max_depth 3 19171 max_features null 19171 max_leaf_nodes null 19171 min_impurity_decrease 0.0 19171 min_samples_leaf 1 19171 min_samples_split 2 19171 min_weight_fraction_leaf 0.0 19171 n_estimators 100 19171 n_iter_no_change null 19171 random_state 5908 19171 subsample 1.0 19171 tol 0.0001 19171 validation_fraction 0.1 19171 verbose 0 19171 warm_start false 19171 openml-python Sklearn_1.0.2. 1471 eeg-eye-state https://www.openml.org/data/download/1587924/phplE7q6h -1 22109556 description https://api.openml.org/data/download/22109556/description.xml -1 22109557 predictions https://api.openml.org/data/download/22109557/predictions.arff area_under_roc_curve 0.8969107673320187 [0.896911,0.896911] average_cost 0 f_measure 0.8112693604330692 [0.837882,0.778585] kappa 0.6175343550028403 kb_relative_information_score 0.3919134707106402 mean_absolute_error 0.32122048576113843 mean_prior_absolute_error 0.4947574918117115 weighted_recall 0.8128170894526034 [0.877558,0.733304] number_of_instances 14980 [8257,6723] precision 0.8142886526283742 [0.801637,0.829827] predictive_accuracy 0.8128170894526034 prior_entropy 0.9924223735239917 relative_absolute_error 0.6492483511161957 root_mean_prior_squared_error 0.4973714869043071 root_mean_squared_error 0.37186178649256213 root_relative_squared_error 0.7476540096961918 total_cost 0 unweighted_recall 0.8054310099881267 [0.877558,0.733304] area_under_roc_curve 0.9092568171336332 [0.909257,0.909257] area_under_roc_curve 0.8968908537991469 [0.896891,0.896891] area_under_roc_curve 0.9025585869941198 [0.902559,0.902559] area_under_roc_curve 0.8946226795803067 [0.894623,0.894623] area_under_roc_curve 0.8976114810330911 [0.897611,0.897611] area_under_roc_curve 0.9013659489219418 [0.901366,0.901366] area_under_roc_curve 0.9047249726161651 [0.904725,0.904725] area_under_roc_curve 0.8835706245215904 [0.883571,0.883571] area_under_roc_curve 0.8916529334954297 [0.891653,0.891653] area_under_roc_curve 0.8887442028006663 [0.888744,0.888744] 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 0.8335817751037035 [0.857801,0.803813] f_measure 0.8174655655938106 [0.843804,0.785091] f_measure 0.8144870373688696 [0.839535,0.783699] f_measure 0.8031739710833911 [0.832184,0.767516] f_measure 0.8069164278963713 [0.836571,0.770465] f_measure 0.8162844867957567 [0.838824,0.78858] f_measure 0.8132564846552477 [0.840896,0.779283] f_measure 0.7924006052582528 [0.819825,0.758782] f_measure 0.80764037490383 [0.836863,0.771817] f_measure 0.8072790065220798 [0.832262,0.776654] kappa 0.6627276323681424 kappa 0.6300600895602364 kappa 0.6240260732291083 kappa 0.6011132672862832 kappa 0.60876013193894 kappa 0.6277930123908186 kappa 0.621550876565752 kappa 0.579416120737436 kappa 0.6103608084650445 kappa 0.6095762901184005 kb_relative_information_score 0.40435085117486413 kb_relative_information_score 0.38985935746987394 kb_relative_information_score 0.395824541829451 kb_relative_information_score 0.390033510131077 kb_relative_information_score 0.38918376964038176 kb_relative_information_score 0.3944112368556003 kb_relative_information_score 0.3942943038506115 kb_relative_information_score 0.3810128785303524 kb_relative_information_score 0.3923179874654715 kb_relative_information_score 0.3878491740135697 mean_absolute_error 0.3166026798031092 mean_absolute_error 0.32250361608942474 mean_absolute_error 0.3193797411303674 mean_absolute_error 0.321404323170924 mean_absolute_error 0.32218553609465106 mean_absolute_error 0.3201848819650224 mean_absolute_error 0.3204818916965726 mean_absolute_error 0.3253633639252248 mean_absolute_error 0.3209266655140135 mean_absolute_error 0.32317215822208134 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 0.8376230594317108 [0.817783,0.86201] precision 0.821038408681958 [0.805281,0.840407] precision 0.8166716720812375 [0.807606,0.827815] precision 0.8070249356585436 [0.792123,0.825342] precision 0.811959182827658 [0.792208,0.836237] precision 0.817189450981876 [0.815789,0.81891] precision 0.8173899103893815 [0.8,0.838765] precision 0.7941352070847075 [0.789888,0.799342] precision 0.8125931234817468 [0.792842,0.836806] precision 0.8088895941772278 [0.803612,0.815359] predictive_accuracy 0.8351134846461948 predictive_accuracy 0.8190921228304405 predictive_accuracy 0.8157543391188251 predictive_accuracy 0.8050734312416555 predictive_accuracy 0.8090787716955942 predictive_accuracy 0.8170894526034713 predictive_accuracy 0.815086782376502 predictive_accuracy 0.793724966622163 predictive_accuracy 0.8097463284379173 predictive_accuracy 0.8084112149532711 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 0.639941399978194 relative_absolute_error 0.6518688209039908 relative_absolute_error 0.6455546074049161 relative_absolute_error 0.6496468465047563 relative_absolute_error 0.6512258934427098 relative_absolute_error 0.6471820192550911 relative_absolute_error 0.6477823578988878 relative_absolute_error 0.6575583150386265 relative_absolute_error 0.6485917617782505 relative_absolute_error 0.6531298953398642 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 0.36428603527776204 root_mean_squared_error 0.37192417128294747 root_mean_squared_error 0.368571895857498 root_mean_squared_error 0.37332951267331016 root_mean_squared_error 0.373421983309646 root_mean_squared_error 0.3698065679428124 root_mean_squared_error 0.36922005562720717 root_mean_squared_error 0.3785758999708735 root_mean_squared_error 0.3741801942109224 root_mean_squared_error 0.37510659262965884 root_relative_squared_error 0.7324527916886158 root_relative_squared_error 0.7478104323844214 root_relative_squared_error 0.7410701699090635 root_relative_squared_error 0.7506360861975351 root_relative_squared_error 0.7508220125553264 root_relative_squared_error 0.7435526669804073 root_relative_squared_error 0.7423733942624804 root_relative_squared_error 0.7610796054305627 root_relative_squared_error 0.7522425875283938 root_relative_squared_error 0.7541049959465147 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 0.8274566182405165 [0.901937,0.752976] unweighted_recall 0.8114028450363197 [0.886199,0.736607] unweighted_recall 0.8090698143664246 [0.874092,0.744048] unweighted_recall 0.7968876109765941 [0.876513,0.717262] unweighted_recall 0.8002421307506054 [0.886199,0.714286] unweighted_recall 0.8118063962873285 [0.863196,0.760417] unweighted_recall 0.806938559322034 [0.886199,0.727679] unweighted_recall 0.787130442613355 [0.852121,0.72214] unweighted_recall 0.8011283713809717 [0.886061,0.716196] unweighted_recall 0.8022432347246612 [0.86303,0.741456] usercpu_time_millis 4078.125 usercpu_time_millis 4703.125 usercpu_time_millis 4796.875 usercpu_time_millis 3890.625 usercpu_time_millis 3671.875 usercpu_time_millis 3593.75 usercpu_time_millis 3781.25 usercpu_time_millis 3734.375 usercpu_time_millis 3656.25 usercpu_time_millis 3781.25 usercpu_time_millis_testing 0 usercpu_time_millis_testing 15.625 usercpu_time_millis_testing 15.625 usercpu_time_millis_testing 15.625 usercpu_time_millis_testing 15.625 usercpu_time_millis_testing 0 usercpu_time_millis_testing 15.625 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 15.625 usercpu_time_millis_training 4078.125 usercpu_time_millis_training 4687.5 usercpu_time_millis_training 4781.25 usercpu_time_millis_training 3875 usercpu_time_millis_training 3656.25 usercpu_time_millis_training 3593.75 usercpu_time_millis_training 3765.625 usercpu_time_millis_training 3734.375 usercpu_time_millis_training 3656.25 usercpu_time_millis_training 3765.625 wall_clock_time_millis 4759.26947593689 wall_clock_time_millis 5714.702606201172 wall_clock_time_millis 6214.4365310668945 wall_clock_time_millis 3953.754663467407 wall_clock_time_millis 3722.8667736053467 wall_clock_time_millis 3668.876886367798 wall_clock_time_millis 4125.630140304565 wall_clock_time_millis 3772.8378772735596 wall_clock_time_millis 3694.882392883301 wall_clock_time_millis 3866.7616844177246 wall_clock_time_millis_testing 5.976438522338867 wall_clock_time_millis_testing 11.992692947387695 wall_clock_time_millis_testing 4.995107650756836 wall_clock_time_millis_testing 8.016824722290039 wall_clock_time_millis_testing 5.997180938720703 wall_clock_time_millis_testing 5.994558334350586 wall_clock_time_millis_testing 7.972240447998047 wall_clock_time_millis_testing 5.996227264404297 wall_clock_time_millis_testing 4.999399185180664 wall_clock_time_millis_testing 4.997968673706055 wall_clock_time_millis_training 4753.293037414551 wall_clock_time_millis_training 5702.709913253784 wall_clock_time_millis_training 6209.441423416138 wall_clock_time_millis_training 3945.737838745117 wall_clock_time_millis_training 3716.869592666626 wall_clock_time_millis_training 3662.8823280334473 wall_clock_time_millis_training 4117.657899856567 wall_clock_time_millis_training 3766.8416500091553 wall_clock_time_millis_training 3689.88299369812 wall_clock_time_millis_training 3861.7637157440186 weighted_recall 0.835113484646195 [0.901937,0.752976] weighted_recall 0.8190921228304406 [0.886199,0.736607] weighted_recall 0.8157543391188251 [0.874092,0.744048] weighted_recall 0.8050734312416555 [0.876513,0.717262] weighted_recall 0.8090787716955942 [0.886199,0.714286] weighted_recall 0.8170894526034713 [0.863196,0.760417] weighted_recall 0.815086782376502 [0.886199,0.727679] weighted_recall 0.7937249666221629 [0.852121,0.72214] weighted_recall 0.8097463284379173 [0.886061,0.716196] weighted_recall 0.8084112149532711 [0.86303,0.741456]