10586188 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) 8302470 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 "most_frequent" 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 0.09801350166948845 19040 loss "deviance" 19040 max_depth 3 19040 max_features null 19040 max_leaf_nodes 789 19040 min_impurity_decrease 0.0 19040 min_samples_leaf 96 19040 min_samples_split 2 19040 min_weight_fraction_leaf 0.0 19040 n_estimators 100 19040 n_iter_no_change 19 19040 random_state 47134 19040 subsample 1.0 19040 tol 0.0001 19040 validation_fraction 0.2570822985887827 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 22098644 description https://api.openml.org/data/download/22098644/description.xml -1 22098645 predictions https://api.openml.org/data/download/22098645/predictions.arff area_under_roc_curve 0.8908616402372461 [0.890862,0.890862] average_cost 0 f_measure 0.8064212269405654 [0.834017,0.772529] kappa 0.6077129692064406 kb_relative_information_score 0.3813382481279022 mean_absolute_error 0.3262313989252395 mean_prior_absolute_error 0.4947574918117115 weighted_recall 0.8080774365821095 [0.874773,0.726164] number_of_instances 14980 [8257,6723] precision 0.8096036768000527 [0.796889,0.82522] predictive_accuracy 0.8080774365821095 prior_entropy 0.9924223735239917 relative_absolute_error 0.6593763698870728 root_mean_prior_squared_error 0.4973714869043071 root_mean_squared_error 0.3762800863402871 root_relative_squared_error 0.7565373091294282 total_cost 0 unweighted_recall 0.8004684174328234 [0.874773,0.726164] area_under_roc_curve 0.906237389023406 [0.906237,0.906237] area_under_roc_curve 0.8930030698720165 [0.893003,0.893003] area_under_roc_curve 0.89354173872939 [0.893542,0.893542] area_under_roc_curve 0.8860985601867866 [0.886099,0.886099] area_under_roc_curve 0.8921049881817134 [0.892105,0.892105] area_under_roc_curve 0.8912870762711864 [0.891287,0.891287] area_under_roc_curve 0.903410728698259 [0.903411,0.903411] area_under_roc_curve 0.8777000315187536 [0.8777,0.8777] area_under_roc_curve 0.8871862758341215 [0.887186,0.887186] area_under_roc_curve 0.8802278355621596 [0.880228,0.880228] 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 0.8233958233693439 [0.849425,0.791401] f_measure 0.8074462269158988 [0.834873,0.773734] f_measure 0.8048641275566082 [0.832176,0.771293] f_measure 0.793711431841569 [0.826803,0.753036] f_measure 0.8069164278963713 [0.836571,0.770465] f_measure 0.8084630132058275 [0.834206,0.776821] f_measure 0.8148253851068495 [0.841316,0.782264] f_measure 0.7875584252065376 [0.816279,0.752351] f_measure 0.8037143239964656 [0.833046,0.767757] f_measure 0.8130029407951234 [0.835398,0.78555] kappa 0.6420947809212542 kappa 0.6097480106100797 kappa 0.6045118531735916 kappa 0.5821222326081668 kappa 0.60876013193894 kappa 0.6118204152293182 kappa 0.6247050570754417 kappa 0.5695911111919332 kappa 0.6023785156442406 kappa 0.6212955663685541 kb_relative_information_score 0.3973857817202393 kb_relative_information_score 0.38014133152237617 kb_relative_information_score 0.38236466383026513 kb_relative_information_score 0.37579361205339157 kb_relative_information_score 0.37904842873051303 kb_relative_information_score 0.37985709407252327 kb_relative_information_score 0.390552030759236 kb_relative_information_score 0.3705721253680623 kb_relative_information_score 0.3829778602011351 kb_relative_information_score 0.37469269852965653 mean_absolute_error 0.31954257004690106 mean_absolute_error 0.32695977999140013 mean_absolute_error 0.32549503696473814 mean_absolute_error 0.32813874198630155 mean_absolute_error 0.3273000937452577 mean_absolute_error 0.32704886191890725 mean_absolute_error 0.3224111578634096 mean_absolute_error 0.33033978442454054 mean_absolute_error 0.3252754206047008 mean_absolute_error 0.32980254170625095 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 0.8275964127344398 [0.808534,0.851027] precision 0.81057411313647 [0.798013,0.826014] precision 0.8075933066983499 [0.797118,0.82047] precision 0.7998385806316111 [0.77861,0.825933] precision 0.811959182827658 [0.792208,0.836237] precision 0.8105032395403744 [0.802912,0.819835] precision 0.8181588420481296 [0.803749,0.835871] precision 0.7895970394538484 [0.784358,0.79602] precision 0.8081287332851285 [0.79085,0.82931] precision 0.8137486998551696 [0.813793,0.813694] predictive_accuracy 0.8251001335113485 predictive_accuracy 0.8090787716955942 predictive_accuracy 0.8064085447263016 predictive_accuracy 0.7963951935914553 predictive_accuracy 0.8090787716955942 predictive_accuracy 0.8097463284379173 predictive_accuracy 0.8164218958611482 predictive_accuracy 0.7890520694259012 predictive_accuracy 0.8057409879839788 predictive_accuracy 0.8137516688918558 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 0.645883729586915 relative_absolute_error 0.6608759580758423 relative_absolute_error 0.6579153081417567 relative_absolute_error 0.6632589656675895 relative_absolute_error 0.6615638261008726 relative_absolute_error 0.6610560172384403 relative_absolute_error 0.6516819373102308 relative_absolute_error 0.66761564490815 relative_absolute_error 0.6573805818698856 relative_absolute_error 0.666529879097447 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 0.3672927325035842 root_mean_squared_error 0.3757664724755544 root_mean_squared_error 0.3745622815520178 root_mean_squared_error 0.3794532095345498 root_mean_squared_error 0.3775144744741768 root_mean_squared_error 0.3764640392296196 root_mean_squared_error 0.37035363530904786 root_mean_squared_error 0.3826218097891436 root_mean_squared_error 0.3777951850945633 root_mean_squared_error 0.38072060874631025 root_relative_squared_error 0.7384982163372347 root_relative_squared_error 0.7555359666143776 root_relative_squared_error 0.7531147565808997 root_relative_squared_error 0.7629487153600826 root_relative_squared_error 0.7590505919905385 root_relative_squared_error 0.7569385312666697 root_relative_squared_error 0.7446526295944982 root_relative_squared_error 0.7692134022420705 root_relative_squared_error 0.7595100755950355 root_relative_squared_error 0.7653912747911812 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 0.8171282284100081 [0.894673,0.739583] unweighted_recall 0.801490617433414 [0.875303,0.727679] unweighted_recall 0.7990693099273607 [0.87046,0.727679] unweighted_recall 0.7866601089588378 [0.881356,0.691964] unweighted_recall 0.8002421307506054 [0.886199,0.714286] unweighted_recall 0.8030669895076674 [0.868039,0.738095] unweighted_recall 0.8088428167877321 [0.882567,0.735119] unweighted_recall 0.782066729704174 [0.850909,0.713224] unweighted_recall 0.7973551263001486 [0.88,0.71471] unweighted_recall 0.8087342969066594 [0.858182,0.759287] usercpu_time_millis 3549.577818999751 usercpu_time_millis 3559.314297000128 usercpu_time_millis 3553.4649100000024 usercpu_time_millis 3539.9866580009984 usercpu_time_millis 3487.641529999564 usercpu_time_millis 3540.4683389997444 usercpu_time_millis 3569.497941998634 usercpu_time_millis 3563.9081049994275 usercpu_time_millis 3546.845831999235 usercpu_time_millis 3546.617238000181 usercpu_time_millis_testing 10.597641999993357 usercpu_time_millis_testing 10.975266000059491 usercpu_time_millis_testing 10.885509999752685 usercpu_time_millis_testing 10.191125000346801 usercpu_time_millis_testing 9.994144999836863 usercpu_time_millis_testing 10.016625999924145 usercpu_time_millis_testing 10.420461999274266 usercpu_time_millis_testing 9.699735999674886 usercpu_time_millis_testing 10.216396999567223 usercpu_time_millis_testing 7.099047000338032 usercpu_time_millis_training 3538.9801769997575 usercpu_time_millis_training 3548.3390310000686 usercpu_time_millis_training 3542.5794000002497 usercpu_time_millis_training 3529.7955330006516 usercpu_time_millis_training 3477.6473849997274 usercpu_time_millis_training 3530.4517129998203 usercpu_time_millis_training 3559.0774799993596 usercpu_time_millis_training 3554.2083689997526 usercpu_time_millis_training 3536.629434999668 usercpu_time_millis_training 3539.518190999843 wall_clock_time_millis 3625.347852706909 wall_clock_time_millis 3646.4874744415283 wall_clock_time_millis 3617.6135540008545 wall_clock_time_millis 3599.2958545684814 wall_clock_time_millis 3530.5094718933105 wall_clock_time_millis 3643.0001258850098 wall_clock_time_millis 3641.298770904541 wall_clock_time_millis 3626.0905265808105 wall_clock_time_millis 3613.511323928833 wall_clock_time_millis 3592.409372329712 wall_clock_time_millis_testing 10.603189468383789 wall_clock_time_millis_testing 11.005640029907227 wall_clock_time_millis_testing 22.02773094177246 wall_clock_time_millis_testing 10.230302810668945 wall_clock_time_millis_testing 9.99903678894043 wall_clock_time_millis_testing 10.050773620605469 wall_clock_time_millis_testing 10.426521301269531 wall_clock_time_millis_testing 9.793281555175781 wall_clock_time_millis_testing 10.222196578979492 wall_clock_time_millis_testing 7.163047790527344 wall_clock_time_millis_training 3614.7446632385254 wall_clock_time_millis_training 3635.481834411621 wall_clock_time_millis_training 3595.585823059082 wall_clock_time_millis_training 3589.0655517578125 wall_clock_time_millis_training 3520.51043510437 wall_clock_time_millis_training 3632.9493522644043 wall_clock_time_millis_training 3630.8722496032715 wall_clock_time_millis_training 3616.2972450256348 wall_clock_time_millis_training 3603.2891273498535 wall_clock_time_millis_training 3585.2463245391846 weighted_recall 0.8251001335113485 [0.894673,0.739583] weighted_recall 0.8090787716955942 [0.875303,0.727679] weighted_recall 0.8064085447263017 [0.87046,0.727679] weighted_recall 0.7963951935914553 [0.881356,0.691964] weighted_recall 0.8090787716955942 [0.886199,0.714286] weighted_recall 0.8097463284379173 [0.868039,0.738095] weighted_recall 0.8164218958611482 [0.882567,0.735119] weighted_recall 0.7890520694259012 [0.850909,0.713224] weighted_recall 0.8057409879839786 [0.88,0.71471] weighted_recall 0.8137516688918558 [0.858182,0.759287]