10582826 28997 Marc Boel 9967 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) 8299108 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 0.0921943570977671 19040 loss "deviance" 19040 max_depth 3 19040 max_features null 19040 max_leaf_nodes 18 19040 min_impurity_decrease 0.0 19040 min_samples_leaf 129 19040 min_samples_split 2 19040 min_weight_fraction_leaf 0.0 19040 n_estimators 100 19040 n_iter_no_change 18 19040 random_state 60500 19040 subsample 1.0 19040 tol 0.0001 19040 validation_fraction 0.2572469697356155 19040 verbose 0 19040 warm_start false 19040 openml-python Sklearn_1.0.1. 1504 steel-plates-fault https://www.openml.org/data/download/1592296/php9xWOpn -1 22091920 description https://api.openml.org/data/download/22091920/description.xml -1 22091921 predictions https://api.openml.org/data/download/22091921/predictions.arff area_under_roc_curve 0.9696917142040208 [0.969692,0.969692] average_cost 0 f_measure 0.910297283713315 [0.93014,0.872912] kappa 0.8031067029219678 kb_relative_information_score 0.6530228995092048 mean_absolute_error 0.1691311487323016 mean_prior_absolute_error 0.45306405137877787 weighted_recall 0.9098402885110768 [0.91877,0.893016] number_of_instances 1941 [1268,673] precision 0.9112473704087969 [0.941795,0.853693] predictive_accuracy 0.9098402885110768 prior_entropy 0.9311124141243181 relative_absolute_error 0.3733051611965167 root_mean_prior_squared_error 0.47592842871248736 root_mean_squared_error 0.2617190466318963 root_relative_squared_error 0.5499126146759414 total_cost 0 unweighted_recall 0.9058930304067198 [0.91877,0.893016] area_under_roc_curve 0.9571560907827698 [0.957156,0.957156] area_under_roc_curve 0.9661534845457751 [0.966153,0.966153] area_under_roc_curve 0.9817839934187331 [0.981784,0.981784] area_under_roc_curve 0.9682688917616641 [0.968269,0.968269] area_under_roc_curve 0.975085203901751 [0.975085,0.975085] area_under_roc_curve 0.9505229756728172 [0.950523,0.950523] area_under_roc_curve 0.9816664707956282 [0.981666,0.981666] area_under_roc_curve 0.9754377717710659 [0.975438,0.975438] area_under_roc_curve 0.9661531279178338 [0.966153,0.966153] area_under_roc_curve 0.9673202614379084 [0.96732,0.96732] 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 0.8974358974358975 [0.92126,0.852941] f_measure 0.898134933142565 [0.918699,0.859155] f_measure 0.9381443298969072 [0.952756,0.910448] f_measure 0.8965289167447672 [0.921875,0.848485] f_measure 0.9078189152846259 [0.928,0.869565] f_measure 0.8767073839845216 [0.904762,0.823529] f_measure 0.9286944531997956 [0.943089,0.901408] f_measure 0.9286944531997956 [0.943089,0.901408] f_measure 0.9175257731958762 [0.936508,0.882353] f_measure 0.9127888845301848 [0.931727,0.877698] kappa 0.7742010189902733 kappa 0.778260372614013 kappa 0.8632036667058409 kappa 0.770387028050657 kappa 0.7976590566693708 kappa 0.7283230248570428 kappa 0.8447822608298092 kappa 0.8447822608298092 kappa 0.818860877684407 kappa 0.80947429231658 kb_relative_information_score 0.6072494280248832 kb_relative_information_score 0.6145466782049699 kb_relative_information_score 0.7045412421906083 kb_relative_information_score 0.6669775031923539 kb_relative_information_score 0.6954934663483339 kb_relative_information_score 0.5572858752571581 kb_relative_information_score 0.7238252683600179 kb_relative_information_score 0.6805844938424223 kb_relative_information_score 0.6360440193702313 kb_relative_information_score 0.6441991753729299 mean_absolute_error 0.19127562041642412 mean_absolute_error 0.1868574768834452 mean_absolute_error 0.14596148775207335 mean_absolute_error 0.16007912442370456 mean_absolute_error 0.14790442195673364 mean_absolute_error 0.2137758535399228 mean_absolute_error 0.13547127418094795 mean_absolute_error 0.15600874512561466 mean_absolute_error 0.18106882239230332 mean_absolute_error 0.17279451389059147 mean_prior_absolute_error 0.4536732781714767 mean_prior_absolute_error 0.4526452345453676 mean_prior_absolute_error 0.4526452345453676 mean_prior_absolute_error 0.4526452345453676 mean_prior_absolute_error 0.4526452345453676 mean_prior_absolute_error 0.4526452345453676 mean_prior_absolute_error 0.4526452345453676 mean_prior_absolute_error 0.4526452345453676 mean_prior_absolute_error 0.45422372672718864 mean_prior_absolute_error 0.45422372672718864 number_of_instances 195 [127,68] number_of_instances 194 [127,67] number_of_instances 194 [127,67] number_of_instances 194 [127,67] number_of_instances 194 [127,67] number_of_instances 194 [127,67] number_of_instances 194 [127,67] number_of_instances 194 [127,67] number_of_instances 194 [126,68] number_of_instances 194 [126,68] precision 0.8974358974358975 [0.92126,0.852941] precision 0.9025256288082244 [0.94958,0.813333] precision 0.9381443298969072 [0.952756,0.910448] precision 0.8963588637048239 [0.914729,0.861538] precision 0.9092375053269918 [0.943089,0.84507] precision 0.8773237711041386 [0.912,0.811594] precision 0.9328435704178579 [0.97479,0.853333] precision 0.9328435704178579 [0.97479,0.853333] precision 0.9175257731958762 [0.936508,0.882353] precision 0.9136690902265491 [0.943089,0.859155] predictive_accuracy 0.8974358974358974 predictive_accuracy 0.8969072164948453 predictive_accuracy 0.9381443298969071 predictive_accuracy 0.8969072164948453 predictive_accuracy 0.9072164948453608 predictive_accuracy 0.8762886597938144 predictive_accuracy 0.9278350515463917 predictive_accuracy 0.9278350515463917 predictive_accuracy 0.9175257731958762 predictive_accuracy 0.9123711340206185 prior_entropy 0.932928534004902 prior_entropy 0.9298639109616103 prior_entropy 0.9298639109616103 prior_entropy 0.9298639109616103 prior_entropy 0.9298639109616103 prior_entropy 0.9298639109616103 prior_entropy 0.9298639109616103 prior_entropy 0.9298639109616103 prior_entropy 0.9345694345320188 prior_entropy 0.9345694345320188 relative_absolute_error 0.4216153554103024 relative_absolute_error 0.4128122039573066 relative_absolute_error 0.3224633258288373 relative_absolute_error 0.35365251240187356 relative_absolute_error 0.3267557253867643 relative_absolute_error 0.47228124196344884 relative_absolute_error 0.2992879717755429 relative_absolute_error 0.34466008524823705 relative_absolute_error 0.39863356257709337 relative_absolute_error 0.38041719030316884 root_mean_prior_squared_error 0.4765680392655914 root_mean_prior_squared_error 0.47548822532565527 root_mean_prior_squared_error 0.47548822532565527 root_mean_prior_squared_error 0.47548822532565527 root_mean_prior_squared_error 0.47548822532565527 root_mean_prior_squared_error 0.47548822532565527 root_mean_prior_squared_error 0.47548822532565527 root_mean_prior_squared_error 0.47548822532565527 root_mean_prior_squared_error 0.4771452028525092 root_mean_prior_squared_error 0.4771452028525092 root_mean_squared_error 0.2824742714724903 root_mean_squared_error 0.2743843854594765 root_mean_squared_error 0.23426100965573746 root_mean_squared_error 0.2619888829457481 root_mean_squared_error 0.24516577233219378 root_mean_squared_error 0.29982757125277826 root_mean_squared_error 0.23043861178183064 root_mean_squared_error 0.24653195961127525 root_mean_squared_error 0.2664567179383189 root_mean_squared_error 0.26727046317911074 root_relative_squared_error 0.5927260080382087 root_relative_squared_error 0.5770582126856127 root_relative_squared_error 0.49267468084050947 root_relative_squared_error 0.5509892127535136 root_relative_squared_error 0.5156085035844644 root_relative_squared_error 0.6305678148968474 root_relative_squared_error 0.4846357901376137 root_relative_squared_error 0.5184817341006267 root_relative_squared_error 0.558439477847341 root_relative_squared_error 0.5601449235605686 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 0.8871005094951366 [0.92126,0.852941] unweighted_recall 0.9001057703607944 [0.889764,0.910448] unweighted_recall 0.9316018333529203 [0.952756,0.910448] unweighted_recall 0.8824773768950522 [0.929134,0.835821] unweighted_recall 0.9044541074156776 [0.913386,0.895522] unweighted_recall 0.8667293453989893 [0.897638,0.835821] unweighted_recall 0.9343048536843342 [0.913386,0.955224] unweighted_recall 0.9343048536843342 [0.913386,0.955224] unweighted_recall 0.9094304388422035 [0.936508,0.882353] unweighted_recall 0.9088468720821662 [0.920635,0.897059] usercpu_time_millis 979.8310259993741 usercpu_time_millis 986.6312030007975 usercpu_time_millis 977.5577429991245 usercpu_time_millis 969.8716090024391 usercpu_time_millis 982.52550899997 usercpu_time_millis 983.4874219995982 usercpu_time_millis 974.8435520014027 usercpu_time_millis 986.3619360003213 usercpu_time_millis 985.2824080007849 usercpu_time_millis 982.8761350017885 usercpu_time_millis_testing 6.899490999785485 usercpu_time_millis_testing 7.673891999729676 usercpu_time_millis_testing 7.0267039991449565 usercpu_time_millis_testing 7.3892560012609465 usercpu_time_millis_testing 6.894112999361823 usercpu_time_millis_testing 7.868667998991441 usercpu_time_millis_testing 7.005483001194079 usercpu_time_millis_testing 8.02489899979264 usercpu_time_millis_testing 6.9869609997113 usercpu_time_millis_testing 7.417119000820094 usercpu_time_millis_training 972.9315349995886 usercpu_time_millis_training 978.9573110010679 usercpu_time_millis_training 970.5310389999795 usercpu_time_millis_training 962.4823530011781 usercpu_time_millis_training 975.6313960006082 usercpu_time_millis_training 975.6187540006067 usercpu_time_millis_training 967.8380690002086 usercpu_time_millis_training 978.3370370005287 usercpu_time_millis_training 978.2954470010736 usercpu_time_millis_training 975.4590160009684 wall_clock_time_millis 993.9379692077637 wall_clock_time_millis 1016.9887542724609 wall_clock_time_millis 1009.6471309661865 wall_clock_time_millis 982.2573661804199 wall_clock_time_millis 990.9741878509521 wall_clock_time_millis 1010.6105804443359 wall_clock_time_millis 993.2198524475098 wall_clock_time_millis 1000.868558883667 wall_clock_time_millis 1005.2249431610107 wall_clock_time_millis 994.8854446411133 wall_clock_time_millis_testing 6.906270980834961 wall_clock_time_millis_testing 7.680416107177734 wall_clock_time_millis_testing 7.187366485595703 wall_clock_time_millis_testing 9.335517883300781 wall_clock_time_millis_testing 6.901025772094727 wall_clock_time_millis_testing 8.369922637939453 wall_clock_time_millis_testing 7.012367248535156 wall_clock_time_millis_testing 8.21065902709961 wall_clock_time_millis_testing 6.994962692260742 wall_clock_time_millis_testing 7.423877716064453 wall_clock_time_millis_training 987.0316982269287 wall_clock_time_millis_training 1009.3083381652832 wall_clock_time_millis_training 1002.4597644805908 wall_clock_time_millis_training 972.9218482971191 wall_clock_time_millis_training 984.0731620788574 wall_clock_time_millis_training 1002.2406578063965 wall_clock_time_millis_training 986.2074851989746 wall_clock_time_millis_training 992.6578998565674 wall_clock_time_millis_training 998.22998046875 wall_clock_time_millis_training 987.4615669250488 weighted_recall 0.8974358974358975 [0.92126,0.852941] weighted_recall 0.8969072164948454 [0.889764,0.910448] weighted_recall 0.9381443298969072 [0.952756,0.910448] weighted_recall 0.8969072164948454 [0.929134,0.835821] weighted_recall 0.9072164948453608 [0.913386,0.895522] weighted_recall 0.8762886597938144 [0.897638,0.835821] weighted_recall 0.9278350515463918 [0.913386,0.955224] weighted_recall 0.9278350515463918 [0.913386,0.955224] weighted_recall 0.9175257731958762 [0.936508,0.882353] weighted_recall 0.9123711340206185 [0.920635,0.897059]