10585128 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) 8301410 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 0.6943789278369717 19040 loss "deviance" 19040 max_depth 3 19040 max_features null 19040 max_leaf_nodes 326 19040 min_impurity_decrease 0.0 19040 min_samples_leaf 112 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 52202 19040 subsample 1.0 19040 tol 0.0001 19040 validation_fraction 0.030499789980735076 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 22096524 description https://api.openml.org/data/download/22096524/description.xml -1 22096525 predictions https://api.openml.org/data/download/22096525/predictions.arff area_under_roc_curve 0.9975508692656357 [0.997551,0.997551] average_cost 0 f_measure 0.9814720215918439 [0.985771,0.973373] kappa 0.9591439620463801 kb_relative_information_score 0.945309934634626 mean_absolute_error 0.025789828924061762 mean_prior_absolute_error 0.45306405137877787 weighted_recall 0.98145285935085 [0.983438,0.977712] number_of_instances 1941 [1268,673] precision 0.9815117216063289 [0.988114,0.969072] predictive_accuracy 0.9814528593508501 prior_entropy 0.9311124141243181 relative_absolute_error 0.05692314110019851 root_mean_prior_squared_error 0.47592842871248736 root_mean_squared_error 0.11941716404394785 root_relative_squared_error 0.2509141224595533 total_cost 0 unweighted_recall 0.9805751121444073 [0.983438,0.977712] area_under_roc_curve 0.9967577582213988 [0.996758,0.996758] area_under_roc_curve 0.9988247737689505 [0.998825,0.998825] area_under_roc_curve 0.9990598190151604 [0.99906,0.99906] area_under_roc_curve 0.9971794570454813 [0.997179,0.997179] area_under_roc_curve 0.9996474321306853 [0.999647,0.999647] area_under_roc_curve 0.9995299095075801 [0.99953,0.99953] area_under_roc_curve 0.9991773416382654 [0.999177,0.999177] area_under_roc_curve 0.9984722058996357 [0.998472,0.998472] area_under_roc_curve 0.9920634920634921 [0.992063,0.992063] area_under_roc_curve 0.9963818860877686 [0.996382,0.996382] 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 0.9897772115163419 [0.992063,0.985507] f_measure 0.979381443298969 [0.984252,0.970149] f_measure 0.9896907216494846 [0.992126,0.985075] f_measure 0.9638526273233115 [0.972549,0.947368] f_measure 0.9896907216494846 [0.992126,0.985075] f_measure 0.9845627951410111 [0.988142,0.977778] f_measure 0.979451230664087 [0.984127,0.970588] f_measure 0.9744315837852634 [0.97992,0.964029] f_measure 0.9845093698074424 [0.988142,0.977778] f_measure 0.9793087488929247 [0.984252,0.970149] kappa 0.9775733179988499 kappa 0.9544012222352802 kappa 0.9772006111176402 kappa 0.9199198018634274 kappa 0.9772006111176402 kappa 0.9659210680407543 kappa 0.9547205041428404 kappa 0.9439889132694306 kappa 0.9659210680407543 kappa 0.9544065804935369 kb_relative_information_score 0.9472436000907792 kb_relative_information_score 0.9442953793454174 kb_relative_information_score 0.9623715423160999 kb_relative_information_score 0.9146182871969899 kb_relative_information_score 0.9646494135302552 kb_relative_information_score 0.9538779912363208 kb_relative_information_score 0.9380855970303444 kb_relative_information_score 0.9333769003371658 kb_relative_information_score 0.9606251122373491 kb_relative_information_score 0.9339192900234685 mean_absolute_error 0.02699252647436996 mean_absolute_error 0.026459245781280123 mean_absolute_error 0.018059500845791613 mean_absolute_error 0.0373620049943517 mean_absolute_error 0.01719787426260406 mean_absolute_error 0.021455611044156993 mean_absolute_error 0.02997485288314995 mean_absolute_error 0.03011864112119015 mean_absolute_error 0.018825656245414792 mean_absolute_error 0.03144617611639983 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 0.99003663003663 [1,0.971429] precision 0.979381443298969 [0.984252,0.970149] precision 0.9896907216494846 [0.992126,0.985075] precision 0.9638443064667293 [0.96875,0.954545] precision 0.9896907216494846 [0.992126,0.985075] precision 0.984646779674069 [0.992063,0.970588] precision 0.9797471985656655 [0.992,0.956522] precision 0.9760166093928981 [1,0.930556] precision 0.984540322981246 [0.984252,0.985075] precision 0.9794668658231802 [0.976562,0.984848] predictive_accuracy 0.9897435897435898 predictive_accuracy 0.979381443298969 predictive_accuracy 0.9896907216494846 predictive_accuracy 0.9639175257731959 predictive_accuracy 0.9896907216494846 predictive_accuracy 0.9845360824742267 predictive_accuracy 0.979381443298969 predictive_accuracy 0.9742268041237113 predictive_accuracy 0.9845360824742267 predictive_accuracy 0.979381443298969 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 0.059497721759507044 relative_absolute_error 0.05845470969744226 relative_absolute_error 0.03989769353018904 relative_absolute_error 0.0825414743002381 relative_absolute_error 0.037994157344608814 relative_absolute_error 0.04740050133457562 relative_absolute_error 0.06622151432402994 relative_absolute_error 0.06653917642906594 relative_absolute_error 0.0414457791121107 relative_absolute_error 0.06923058895002795 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 0.09994751831248744 root_mean_squared_error 0.11806981049381013 root_mean_squared_error 0.09570267921857742 root_mean_squared_error 0.17051900300437842 root_mean_squared_error 0.09106045726710107 root_mean_squared_error 0.10759258106385178 root_mean_squared_error 0.11153988319907197 root_mean_squared_error 0.134214942257162 root_mean_squared_error 0.10549413215561361 root_mean_squared_error 0.1378727949040598 root_relative_squared_error 0.20972350237021808 root_relative_squared_error 0.24831279557542307 root_relative_squared_error 0.20127244823577278 root_relative_squared_error 0.3586187710275945 root_relative_squared_error 0.19150938428545738 root_relative_squared_error 0.22627811864355443 root_relative_squared_error 0.2345796956857972 root_relative_squared_error 0.28226764640752156 root_relative_squared_error 0.22109439961869004 root_relative_squared_error 0.28895353883852787 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 0.9921259842519685 [0.984252,1] unweighted_recall 0.9772006111176401 [0.984252,0.970149] unweighted_recall 0.9886003055588201 [0.992126,0.985075] unweighted_recall 0.9583382301092961 [0.976378,0.940299] unweighted_recall 0.9886003055588201 [0.992126,0.985075] unweighted_recall 0.9846632976848043 [0.984252,0.985075] unweighted_recall 0.9807262898107886 [0.976378,0.985075] unweighted_recall 0.9803149606299213 [0.96063,1] unweighted_recall 0.9813258636788049 [0.992063,0.970588] unweighted_recall 0.9739729225023344 [0.992063,0.955882] usercpu_time_millis 498.37866999769176 usercpu_time_millis 549.094887001047 usercpu_time_millis 746.3497890003055 usercpu_time_millis 939.5285910013627 usercpu_time_millis 826.93862600172 usercpu_time_millis 740.0401710001461 usercpu_time_millis 473.1092729998636 usercpu_time_millis 753.4680850003497 usercpu_time_millis 777.7363180011889 usercpu_time_millis 567.7713419991051 usercpu_time_millis_testing 6.900459999087616 usercpu_time_millis_testing 6.346587000734871 usercpu_time_millis_testing 6.393404000846203 usercpu_time_millis_testing 7.309237000299618 usercpu_time_millis_testing 6.43972200123244 usercpu_time_millis_testing 6.5542920001462335 usercpu_time_millis_testing 6.751589000487002 usercpu_time_millis_testing 6.232685000213678 usercpu_time_millis_testing 6.473120000009658 usercpu_time_millis_testing 4.450395999811008 usercpu_time_millis_training 491.47820999860414 usercpu_time_millis_training 542.7483000003122 usercpu_time_millis_training 739.9563849994593 usercpu_time_millis_training 932.219354001063 usercpu_time_millis_training 820.4989040004875 usercpu_time_millis_training 733.4858789999998 usercpu_time_millis_training 466.3576839993766 usercpu_time_millis_training 747.235400000136 usercpu_time_millis_training 771.2631980011793 usercpu_time_millis_training 563.320945999294 wall_clock_time_millis 503.03077697753906 wall_clock_time_millis 576.9321918487549 wall_clock_time_millis 762.610673904419 wall_clock_time_millis 957.5746059417725 wall_clock_time_millis 850.4617214202881 wall_clock_time_millis 747.8001117706299 wall_clock_time_millis 513.9031410217285 wall_clock_time_millis 783.1017971038818 wall_clock_time_millis 790.2529239654541 wall_clock_time_millis 574.3732452392578 wall_clock_time_millis_testing 6.894826889038086 wall_clock_time_millis_testing 6.352424621582031 wall_clock_time_millis_testing 6.3991546630859375 wall_clock_time_millis_testing 8.582592010498047 wall_clock_time_millis_testing 6.445169448852539 wall_clock_time_millis_testing 6.5593719482421875 wall_clock_time_millis_testing 6.757020950317383 wall_clock_time_millis_testing 6.247043609619141 wall_clock_time_millis_testing 6.478309631347656 wall_clock_time_millis_testing 4.455327987670898 wall_clock_time_millis_training 496.135950088501 wall_clock_time_millis_training 570.5797672271729 wall_clock_time_millis_training 756.211519241333 wall_clock_time_millis_training 948.9920139312744 wall_clock_time_millis_training 844.0165519714355 wall_clock_time_millis_training 741.2407398223877 wall_clock_time_millis_training 507.14612007141113 wall_clock_time_millis_training 776.8547534942627 wall_clock_time_millis_training 783.7746143341064 wall_clock_time_millis_training 569.9179172515869 weighted_recall 0.9897435897435898 [0.984252,1] weighted_recall 0.979381443298969 [0.984252,0.970149] weighted_recall 0.9896907216494846 [0.992126,0.985075] weighted_recall 0.9639175257731959 [0.976378,0.940299] weighted_recall 0.9896907216494846 [0.992126,0.985075] weighted_recall 0.9845360824742269 [0.984252,0.985075] weighted_recall 0.979381443298969 [0.976378,0.985075] weighted_recall 0.9742268041237113 [0.96063,1] weighted_recall 0.9845360824742269 [0.992063,0.970588] weighted_recall 0.979381443298969 [0.992063,0.955882]