10586210 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) 8302492 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 0.06083978356230507 19040 loss "deviance" 19040 max_depth 3 19040 max_features null 19040 max_leaf_nodes 133 19040 min_impurity_decrease 0.0 19040 min_samples_leaf 101 19040 min_samples_split 2 19040 min_weight_fraction_leaf 0.0 19040 n_estimators 100 19040 n_iter_no_change 14 19040 random_state 47482 19040 subsample 1.0 19040 tol 0.0001 19040 validation_fraction 0.3138492923825032 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 22098688 description https://api.openml.org/data/download/22098688/description.xml -1 22098689 predictions https://api.openml.org/data/download/22098689/predictions.arff area_under_roc_curve 0.8668738712199463 [0.866874,0.866874] average_cost 0 f_measure 0.7846353145450301 [0.818942,0.742501] kappa 0.5637684565442201 kb_relative_information_score 0.31985932415748325 mean_absolute_error 0.3563444180482229 mean_prior_absolute_error 0.4947574918117115 weighted_recall 0.7873831775700935 [0.872351,0.683028] number_of_instances 14980 [8257,6723] precision 0.7903757913900733 [0.771695,0.813319] predictive_accuracy 0.7873831775700935 prior_entropy 0.9924223735239917 relative_absolute_error 0.7202405702708105 root_mean_prior_squared_error 0.4973714869043071 root_mean_squared_error 0.3964119573460063 root_relative_squared_error 0.7970138373096463 total_cost 0 unweighted_recall 0.7776895713238395 [0.872351,0.683028] area_under_roc_curve 0.8806857488758215 [0.880686,0.880686] area_under_roc_curve 0.866132681886314 [0.866133,0.866133] area_under_roc_curve 0.8708672028133287 [0.870867,0.870867] area_under_roc_curve 0.8594794909489221 [0.859479,0.859479] area_under_roc_curve 0.8692782197624814 [0.869278,0.869278] area_under_roc_curve 0.8684044592413237 [0.868404,0.868404] area_under_roc_curve 0.8794039331834429 [0.879404,0.879404] area_under_roc_curve 0.8547705885001576 [0.854771,0.854771] area_under_roc_curve 0.8644243324778244 [0.864424,0.864424] area_under_roc_curve 0.8586464946643252 [0.858646,0.858646] 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 0.793567873572883 [0.827195,0.752234] f_measure 0.7762027267812697 [0.811825,0.732417] f_measure 0.783892312254285 [0.817352,0.742765] f_measure 0.7759545060236415 [0.816917,0.725605] f_measure 0.7877489753780235 [0.825893,0.740864] f_measure 0.7873722216659461 [0.819897,0.747394] f_measure 0.796690422869876 [0.828294,0.757844] f_measure 0.7680006621722049 [0.802526,0.725678] f_measure 0.7875366981697925 [0.821793,0.745543] f_measure 0.7889029921356102 [0.817442,0.753918] kappa 0.5818866667520787 kappa 0.5466275809982206 kappa 0.5621259399457773 kappa 0.5469427677893465 kappa 0.5706569267966458 kappa 0.5691495481215406 kappa 0.5880667647246914 kappa 0.5300246428069818 kappa 0.5698181678504078 kappa 0.5723152180831236 kb_relative_information_score 0.32874618601333644 kb_relative_information_score 0.31332015539017055 kb_relative_information_score 0.3237713899052172 kb_relative_information_score 0.3127539247171079 kb_relative_information_score 0.317077161550169 kb_relative_information_score 0.3217527281534363 kb_relative_information_score 0.3258227961724615 kb_relative_information_score 0.3136608421601767 kb_relative_information_score 0.32596834649330364 kb_relative_information_score 0.31572055427885926 mean_absolute_error 0.3531927167364979 mean_absolute_error 0.3591040924339622 mean_absolute_error 0.3543672364454765 mean_absolute_error 0.3590170344412616 mean_absolute_error 0.35780896340276636 mean_absolute_error 0.35564251156129495 mean_absolute_error 0.3537910782987956 mean_absolute_error 0.35854118813303554 mean_absolute_error 0.353649215861403 mean_absolute_error 0.3583301431677255 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 0.8002304021477518 [0.777423,0.828265] precision 0.7816456182630062 [0.765273,0.80177] precision 0.7886831885943733 [0.773218,0.807692] precision 0.7871016396164797 [0.755922,0.825427] precision 0.7984793352743909 [0.766046,0.838346] precision 0.7918966252741025 [0.776815,0.810435] precision 0.8018767758182609 [0.783172,0.824869] precision 0.7716418640128564 [0.762268,0.783133] precision 0.7939225539288435 [0.772679,0.819964] precision 0.7909574359458288 [0.785475,0.797678] predictive_accuracy 0.7963951935914553 predictive_accuracy 0.7790387182910546 predictive_accuracy 0.7863818424566088 predictive_accuracy 0.780373831775701 predictive_accuracy 0.7917222963951935 predictive_accuracy 0.7897196261682242 predictive_accuracy 0.7990654205607477 predictive_accuracy 0.7703604806408545 predictive_accuracy 0.7903871829105473 predictive_accuracy 0.7903871829105473 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 0.7138999636737645 relative_absolute_error 0.7258484855308283 relative_absolute_error 0.7162739921795663 relative_absolute_error 0.7256725172990914 relative_absolute_error 0.7232306722959837 relative_absolute_error 0.7188516751716424 relative_absolute_error 0.7151094175422792 relative_absolute_error 0.7246105913599078 relative_absolute_error 0.7147239310877034 relative_absolute_error 0.7241840701618465 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 0.3905328292856629 root_mean_squared_error 0.3980079159258998 root_mean_squared_error 0.3937817590826224 root_mean_squared_error 0.3998087400447612 root_mean_squared_error 0.3974003331619731 root_mean_squared_error 0.3956646850303474 root_mean_squared_error 0.39259700266500314 root_mean_squared_error 0.40063755600395906 root_mean_squared_error 0.39598317330921184 root_mean_squared_error 0.39957978661736937 root_relative_squared_error 0.7852259855040323 root_relative_squared_error 0.8002557905131128 root_relative_squared_error 0.7917584557865368 root_relative_squared_error 0.8038766228411884 root_relative_squared_error 0.7990341524360983 root_relative_squared_error 0.7955443663990656 root_relative_squared_error 0.7893763217997244 root_relative_squared_error 0.8054318118707969 root_relative_squared_error 0.796074756270814 root_relative_squared_error 0.8033052985152344 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 0.7863826674737692 [0.883777,0.688988] unweighted_recall 0.7692569612590799 [0.864407,0.674107] unweighted_recall 0.7771640435835352 [0.866828,0.6875] unweighted_recall 0.7679706416464891 [0.88862,0.647321] unweighted_recall 0.7797871267150929 [0.895884,0.66369] unweighted_recall 0.7807455609362388 [0.868039,0.693452] unweighted_recall 0.7899137409200968 [0.878935,0.700893] unweighted_recall 0.7616749966229908 [0.847273,0.676077] unweighted_recall 0.7805412220271062 [0.877576,0.683507] unweighted_recall 0.7834157323607547 [0.852121,0.71471] usercpu_time_millis 3273.9928799992413 usercpu_time_millis 3310.926111000299 usercpu_time_millis 3280.7693569993717 usercpu_time_millis 3283.029612000064 usercpu_time_millis 3286.3050430005387 usercpu_time_millis 3319.2752550003206 usercpu_time_millis 3288.4058830004506 usercpu_time_millis 3301.9736739997825 usercpu_time_millis 3278.9741910000885 usercpu_time_millis 3259.158449998722 usercpu_time_millis_testing 10.529533999942942 usercpu_time_millis_testing 10.303267000381311 usercpu_time_millis_testing 10.304429999450804 usercpu_time_millis_testing 10.762789000182238 usercpu_time_millis_testing 10.348544000407855 usercpu_time_millis_testing 10.204817000158073 usercpu_time_millis_testing 10.277504000441695 usercpu_time_millis_testing 9.988918000090052 usercpu_time_millis_testing 10.146759999770438 usercpu_time_millis_testing 7.048363999274443 usercpu_time_millis_training 3263.4633459992983 usercpu_time_millis_training 3300.6228439999177 usercpu_time_millis_training 3270.464926999921 usercpu_time_millis_training 3272.2668229998817 usercpu_time_millis_training 3275.956499000131 usercpu_time_millis_training 3309.0704380001625 usercpu_time_millis_training 3278.128379000009 usercpu_time_millis_training 3291.9847559996924 usercpu_time_millis_training 3268.827431000318 usercpu_time_millis_training 3252.1100859994476 wall_clock_time_millis 3356.522560119629 wall_clock_time_millis 3394.8423862457275 wall_clock_time_millis 3345.515489578247 wall_clock_time_millis 3364.091157913208 wall_clock_time_millis 3344.670057296753 wall_clock_time_millis 3394.8745727539062 wall_clock_time_millis 3349.6811389923096 wall_clock_time_millis 3370.5499172210693 wall_clock_time_millis 3344.733953475952 wall_clock_time_millis 3309.2005252838135 wall_clock_time_millis_testing 10.546207427978516 wall_clock_time_millis_testing 11.070728302001953 wall_clock_time_millis_testing 10.310173034667969 wall_clock_time_millis_testing 10.768890380859375 wall_clock_time_millis_testing 12.226581573486328 wall_clock_time_millis_testing 10.365724563598633 wall_clock_time_millis_testing 10.282516479492188 wall_clock_time_millis_testing 10.0555419921875 wall_clock_time_millis_testing 10.151386260986328 wall_clock_time_millis_testing 7.051944732666016 wall_clock_time_millis_training 3345.9763526916504 wall_clock_time_millis_training 3383.7716579437256 wall_clock_time_millis_training 3335.205316543579 wall_clock_time_millis_training 3353.3222675323486 wall_clock_time_millis_training 3332.4434757232666 wall_clock_time_millis_training 3384.5088481903076 wall_clock_time_millis_training 3339.3986225128174 wall_clock_time_millis_training 3360.494375228882 wall_clock_time_millis_training 3334.582567214966 wall_clock_time_millis_training 3302.1485805511475 weighted_recall 0.7963951935914553 [0.883777,0.688988] weighted_recall 0.7790387182910548 [0.864407,0.674107] weighted_recall 0.7863818424566088 [0.866828,0.6875] weighted_recall 0.780373831775701 [0.88862,0.647321] weighted_recall 0.7917222963951935 [0.895884,0.66369] weighted_recall 0.7897196261682243 [0.868039,0.693452] weighted_recall 0.7990654205607477 [0.878935,0.700893] weighted_recall 0.7703604806408545 [0.847273,0.676077] weighted_recall 0.7903871829105474 [0.877576,0.683507] weighted_recall 0.7903871829105474 [0.852121,0.71471]