10560768 869 Pieter Gijsbers 146817 Supervised Classification 18995 sklearn.pipeline.Pipeline(columntransformer=sklearn.compose._column_transformer.ColumnTransformer(simpleimputer=sklearn.impute._base.SimpleImputer,onehotencoder=sklearn.preprocessing._encoders.OneHotEncoder),decisiontreeclassifier=sklearn.tree._classes.DecisionTreeClassifier)(1) 8277066 Python_3.8.3. Sklearn_0.24.2. NumPy_1.21.2. SciPy_1.7.1. add_indicator false 18819 copy true 18819 fill_value null 18819 missing_values NaN 18819 strategy "mean" 18819 verbose 0 18819 ccp_alpha 0.0 18820 class_weight null 18820 criterion "gini" 18820 max_depth 1 18820 max_features null 18820 max_leaf_nodes null 18820 min_impurity_decrease 0.0 18820 min_impurity_split null 18820 min_samples_leaf 1 18820 min_samples_split 2 18820 min_weight_fraction_leaf 0.0 18820 random_state 31861 18820 splitter "best" 18820 memory null 18995 steps [{"oml-python:serialized_object": "component_reference", "value": {"key": "columntransformer", "step_name": "columntransformer"}}, {"oml-python:serialized_object": "component_reference", "value": {"key": "decisiontreeclassifier", "step_name": "decisiontreeclassifier"}}] 18995 verbose false 18995 n_jobs null 18996 remainder "drop" 18996 sparse_threshold 0.3 18996 transformer_weights null 18996 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"}}}] 18996 verbose false 18996 categories "auto" 18997 drop null 18997 dtype {"oml-python:serialized_object": "type", "value": "np.float64"} 18997 handle_unknown "ignore" 18997 sparse true 18997 openml-python Sklearn_0.24.2. 40982 steel-plates-fault https://www.openml.org/data/download/18151921/php5s7Ep8 -1 22047642 description https://api.openml.org/data/download/22047642/description.xml -1 22047643 predictions https://api.openml.org/data/download/22047643/predictions.arff area_under_roc_curve 0.6495324459474511 [0.597986,0.570259,0.871733,0.596817,0.587599,0.578135,0.589556] average_cost 0 kappa 0.25670407713033105 kb_relative_information_score 0.22170253869049472 mean_absolute_error 0.1825800392771934 mean_prior_absolute_error 0.2223438305942003 weighted_recall 0.49562081401339514 [0,0,0.797954,0.965825,0,0,0] number_of_instances 1941 [402,55,391,673,158,72,190] predictive_accuracy 0.4956208140133952 prior_entropy 2.4106995883230287 relative_absolute_error 0.8211608066176579 root_mean_prior_squared_error 0.3333637532267832 root_mean_squared_error 0.30229481306262956 root_relative_squared_error 0.9068016847559974 total_cost 0 unweighted_recall 0.2519683756957787 [0,0,0.797954,0.965825,0,0,0] area_under_roc_curve 0.6569566765724261 [0.623377,0.6,0.880645,0.580224,0.605556,0.601604,0.607955] area_under_roc_curve 0.6936030155239955 [0.627451,0.603175,0.967907,0.642144,0.609551,0.604278,0.582256] area_under_roc_curve 0.6544960505168071 [0.591396,0.587302,0.874938,0.60831,0.592697,0.588235,0.594286] area_under_roc_curve 0.6473019900969402 [0.591396,0.587302,0.858892,0.596989,0.592697,0.588235,0.594286] area_under_roc_curve 0.6681626706350402 [0.607143,0.587302,0.907031,0.619631,0.592697,0.588235,0.594286] area_under_roc_curve 0.6514353888510938 [0.61039,0.590426,0.871712,0.588259,0.595506,0.590909,0.597143] area_under_roc_curve 0.676354349629034 [0.616883,0.595745,0.929446,0.618933,0.601124,0.596257,0.602857] area_under_roc_curve 0.6464405015112725 [0.594156,0.577128,0.855749,0.602774,0.581461,0.57754,0.582857] area_under_roc_curve 0.662330499701297 [0.603896,0.585106,0.89421,0.614585,0.589888,0.585561,0.591429] area_under_roc_curve 0.6498301791964572 [0.600649,0.582447,0.865343,0.599248,0.586592,0.583333,0.588571] 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 kappa 0.23458785499884557 kappa 0.31387485425573264 kappa 0.2515255304909256 kappa 0.23625054131727097 kappa 0.27443801425140735 kappa 0.23431027745212976 kappa 0.2813694143336192 kappa 0.237721021611002 kappa 0.2630218532153208 kappa 0.23939465223868894 kb_relative_information_score 0.2199999653958535 kb_relative_information_score 0.25238044360394213 kb_relative_information_score 0.2166299092392776 kb_relative_information_score 0.21036244466391824 kb_relative_information_score 0.22871712360046487 kb_relative_information_score 0.2133530902220734 kb_relative_information_score 0.235538651218386 kb_relative_information_score 0.20750167207864625 kb_relative_information_score 0.22215974809071873 kb_relative_information_score 0.2105255285636305 mean_absolute_error 0.18330000631211094 mean_absolute_error 0.17481032103713576 mean_absolute_error 0.183777061795239 mean_absolute_error 0.18538986902388954 mean_absolute_error 0.18072395890491358 mean_absolute_error 0.18475745201795066 mean_absolute_error 0.1790664798117954 mean_absolute_error 0.1861734316062568 mean_absolute_error 0.18244506707090236 mean_absolute_error 0.18535303402143807 mean_prior_absolute_error 0.22235334822603825 mean_prior_absolute_error 0.2222580918309025 mean_prior_absolute_error 0.22205320664221154 mean_prior_absolute_error 0.22205320664221154 mean_prior_absolute_error 0.22205320664221154 mean_prior_absolute_error 0.2225204355964957 mean_prior_absolute_error 0.2225204355964957 mean_prior_absolute_error 0.2225204355964957 mean_prior_absolute_error 0.2225204355964957 mean_prior_absolute_error 0.2225854545124641 number_of_instances 195 [41,5,40,67,15,8,19] number_of_instances 194 [41,5,39,67,16,7,19] number_of_instances 194 [40,5,39,68,16,7,19] number_of_instances 194 [40,5,39,68,16,7,19] number_of_instances 194 [40,5,39,68,16,7,19] number_of_instances 194 [40,6,39,67,16,7,19] number_of_instances 194 [40,6,39,67,16,7,19] number_of_instances 194 [40,6,39,67,16,7,19] number_of_instances 194 [40,6,39,67,16,7,19] number_of_instances 194 [40,6,39,67,15,8,19] predictive_accuracy 0.47692307692307695 predictive_accuracy 0.5309278350515464 predictive_accuracy 0.4948453608247423 predictive_accuracy 0.4845360824742268 predictive_accuracy 0.5103092783505155 predictive_accuracy 0.4793814432989691 predictive_accuracy 0.5103092783505155 predictive_accuracy 0.4845360824742268 predictive_accuracy 0.5 predictive_accuracy 0.4845360824742268 prior_entropy 2.4086971702017688 prior_entropy 2.4034011426545026 prior_entropy 2.3995765614552553 prior_entropy 2.3995765614552553 prior_entropy 2.3995765614552553 prior_entropy 2.4180778493888857 prior_entropy 2.4180778493888857 prior_entropy 2.4180778493888857 prior_entropy 2.4180778493888857 prior_entropy 2.4238668101950935 relative_absolute_error 0.8243635986347875 relative_absolute_error 0.786519490008644 relative_absolute_error 0.8276262458634706 relative_absolute_error 0.8348894025322651 relative_absolute_error 0.8138768254588159 relative_absolute_error 0.830294312172649 relative_absolute_error 0.8047192579494277 relative_absolute_error 0.8366576809325135 relative_absolute_error 0.819902525275191 relative_absolute_error 0.8327275222337535 root_mean_prior_squared_error 0.33337802806616484 root_mean_prior_squared_error 0.3332351320046385 root_mean_prior_squared_error 0.33292757172312704 root_mean_prior_squared_error 0.33292757172312704 root_mean_prior_squared_error 0.33292757172312704 root_mean_prior_squared_error 0.3336285314054271 root_mean_prior_squared_error 0.3336285314054271 root_mean_prior_squared_error 0.3336285314054271 root_mean_prior_squared_error 0.3336285314054271 root_mean_prior_squared_error 0.33372595925955534 root_mean_squared_error 0.30717500590458374 root_mean_squared_error 0.2924682502684113 root_mean_squared_error 0.30380402182586763 root_mean_squared_error 0.3067682504280606 root_mean_squared_error 0.29810796406788537 root_mean_squared_error 0.30652820155782046 root_mean_squared_error 0.2977649616021815 root_mean_squared_error 0.30462629944309305 root_mean_squared_error 0.3004249600582652 root_mean_squared_error 0.30490030459701745 root_relative_squared_error 0.9214014723358415 root_relative_squared_error 0.8776633139159538 root_relative_squared_error 0.9125228657196364 root_relative_squared_error 0.9214263896508358 root_relative_squared_error 0.895413865919766 root_relative_squared_error 0.9187709464372094 root_relative_squared_error 0.8925044879939721 root_relative_squared_error 0.9130702885626698 root_relative_squared_error 0.900477422577469 root_relative_squared_error 0.9136247754699877 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 0.2443496801705757 [0,0,0.8,0.910448,0,0,0] unweighted_recall 0.2762560822262315 [0,0,0.948718,0.985075,0,0,0] unweighted_recall 0.24854557207498384 [0,0,0.769231,0.970588,0,0,0] unweighted_recall 0.24278172807584575 [0,0,0.74359,0.955882,0,0,0] unweighted_recall 0.25797241973712565 [0,0,0.820513,0.985294,0,0,0] unweighted_recall 0.24421846809906514 [0,0,0.769231,0.940299,0,0,0] unweighted_recall 0.2631348750751736 [0,0,0.871795,0.970149,0,0,0] unweighted_recall 0.2432890492591985 [0,0,0.717949,0.985075,0,0,0] unweighted_recall 0.2542780602482095 [0,0,0.794872,0.985075,0,0,0] unweighted_recall 0.24481985676015525 [0,0,0.74359,0.970149,0,0,0] usercpu_time_millis 15.625 usercpu_time_millis 0 usercpu_time_millis 15.625 usercpu_time_millis 15.625 usercpu_time_millis 15.625 usercpu_time_millis 15.625 usercpu_time_millis 15.625 usercpu_time_millis 0 usercpu_time_millis 15.625 usercpu_time_millis 15.625 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 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 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_training 15.625 usercpu_time_millis_training 0 usercpu_time_millis_training 15.625 usercpu_time_millis_training 0 usercpu_time_millis_training 15.625 usercpu_time_millis_training 15.625 usercpu_time_millis_training 15.625 usercpu_time_millis_training 0 usercpu_time_millis_training 15.625 usercpu_time_millis_training 15.625 wall_clock_time_millis 12.00103759765625 wall_clock_time_millis 11.997699737548828 wall_clock_time_millis 11.012554168701172 wall_clock_time_millis 11.999845504760742 wall_clock_time_millis 12.613058090209961 wall_clock_time_millis 13.000965118408203 wall_clock_time_millis 12.006998062133789 wall_clock_time_millis 12.000322341918945 wall_clock_time_millis 11.999845504760742 wall_clock_time_millis 12.001276016235352 wall_clock_time_millis_testing 2.0012855529785156 wall_clock_time_millis_testing 3.000020980834961 wall_clock_time_millis_testing 2.000093460083008 wall_clock_time_millis_testing 1.9998550415039062 wall_clock_time_millis_testing 2.5975704193115234 wall_clock_time_millis_testing 2.9883384704589844 wall_clock_time_millis_testing 2.000093460083008 wall_clock_time_millis_testing 2.012968063354492 wall_clock_time_millis_testing 2.9997825622558594 wall_clock_time_millis_testing 2.001523971557617 wall_clock_time_millis_training 9.999752044677734 wall_clock_time_millis_training 8.997678756713867 wall_clock_time_millis_training 9.012460708618164 wall_clock_time_millis_training 9.999990463256836 wall_clock_time_millis_training 10.015487670898438 wall_clock_time_millis_training 10.012626647949219 wall_clock_time_millis_training 10.006904602050781 wall_clock_time_millis_training 9.987354278564453 wall_clock_time_millis_training 9.000062942504883 wall_clock_time_millis_training 9.999752044677734 weighted_recall 0.47692307692307695 [0,0,0.8,0.910448,0,0,0] weighted_recall 0.5309278350515464 [0,0,0.948718,0.985075,0,0,0] weighted_recall 0.4948453608247423 [0,0,0.769231,0.970588,0,0,0] weighted_recall 0.4845360824742268 [0,0,0.74359,0.955882,0,0,0] weighted_recall 0.5103092783505154 [0,0,0.820513,0.985294,0,0,0] weighted_recall 0.4793814432989691 [0,0,0.769231,0.940299,0,0,0] weighted_recall 0.5103092783505154 [0,0,0.871795,0.970149,0,0,0] weighted_recall 0.4845360824742268 [0,0,0.717949,0.985075,0,0,0] weighted_recall 0.5 [0,0,0.794872,0.985075,0,0,0] weighted_recall 0.4845360824742268 [0,0,0.74359,0.970149,0,0,0]