10229148 9161 Jan Ernsting 10101 Supervised Classification 13384 sklearn.pipeline.Pipeline(pca=sklearn.decomposition.pca.PCA,binarizer=sklearn.preprocessing.data.Binarizer,clf=sklearn.tree.tree.DecisionTreeClassifier)(1) 8154244 class_weight null 12739 criterion "gini" 12739 max_depth null 12739 max_features null 12739 max_leaf_nodes null 12739 min_impurity_decrease 0.0 12739 min_impurity_split null 12739 min_samples_leaf 1 12739 min_samples_split 2 12739 min_weight_fraction_leaf 0.0 12739 presort false 12739 random_state 61961 12739 splitter "best" 12739 memory null 13384 steps [{"oml-python:serialized_object": "component_reference", "value": {"key": "pca", "step_name": "pca"}}, {"oml-python:serialized_object": "component_reference", "value": {"key": "binarizer", "step_name": "binarizer"}}, {"oml-python:serialized_object": "component_reference", "value": {"key": "clf", "step_name": "clf"}}] 13384 verbose false 13384 copy true 13385 iterated_power "auto" 13385 n_components null 13385 random_state 11018 13385 svd_solver "auto" 13385 tol 0.0 13385 whiten false 13385 copy true 13386 threshold 0.0 13386 openml-python Sklearn_0.21.2. 1464 blood-transfusion-service-center https://www.openml.org/data/download/1586225/php0iVrYT -1 21379733 description https://api.openml.org/data/download/21379733/description.xml -1 21379734 predictions https://api.openml.org/data/download/21379734/predictions.arff area_under_roc_curve 0.6733392469938893 [0.673339,0.673339] average_cost 0 f_measure 0.733778501365501 [0.848384,0.366782] kappa 0.22513812154696147 kb_relative_information_score -0.008580210035486755 mean_absolute_error 0.33873202730558055 mean_prior_absolute_error 0.3630445632798566 number_of_instances 748 [570,178] precision 0.726121066457201 [0.803768,0.477477] predictive_accuracy 0.7553475935828877 prior_entropy 0.7916465694609683 recall 0.7553475935828877 [0.898246,0.297753] relative_absolute_error 0.9330315381818994 root_mean_prior_squared_error 0.4258399633559147 root_mean_squared_error 0.44150867524050796 root_relative_squared_error 1.036794836635606 total_cost 0 area_under_roc_curve 0.7144249512670565 [0.714425,0.714425] area_under_roc_curve 0.7222222222222222 [0.722222,0.722222] area_under_roc_curve 0.6310916179337233 [0.631092,0.631092] area_under_roc_curve 0.6686159844054581 [0.668616,0.668616] area_under_roc_curve 0.7485380116959064 [0.748538,0.748538] area_under_roc_curve 0.5911306042884991 [0.591131,0.591131] area_under_roc_curve 0.6267056530214425 [0.626706,0.626706] area_under_roc_curve 0.6905458089668616 [0.690546,0.690546] area_under_roc_curve 0.6682146542827657 [0.668215,0.668215] area_under_roc_curve 0.7296181630546955 [0.729618,0.729618] 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 0.7137127371273713 [0.845528,0.296296] f_measure 0.804119241192412 [0.894309,0.518519] f_measure 0.6743478260869564 [0.75,0.434783] f_measure 0.7537144813420061 [0.88189,0.347826] f_measure 0.7648 [0.88,0.4] f_measure 0.720876412187607 [0.866142,0.26087] f_measure 0.6536943387782502 [0.752294,0.341463] f_measure 0.7840813865154638 [0.87395,0.482759] f_measure 0.7446633073751717 [0.847458,0.4] kappa 0.16225749559082905 kappa 0.42680776014109345 kappa 0.2014742014742015 kappa 0.2718446601941748 kappa 0.3068391866913125 kappa 0.17475728155339784 kappa 0.09879839786381839 kappa 0 kappa 0.36133486766398154 kappa 0.2508436445444321 kb_relative_information_score 0.039916231524557214 kb_relative_information_score 0.092401330963992 kb_relative_information_score -0.159871580447976 kb_relative_information_score 0.1876855845562066 kb_relative_information_score 0.10986697754389592 kb_relative_information_score -0.18491759508932984 kb_relative_information_score -0.1945351912984179 kb_relative_information_score 0.03545795603621029 kb_relative_information_score -0.03759612971625234 kb_relative_information_score 0.025982589544000203 mean_absolute_error 0.33017984307669584 mean_absolute_error 0.30423771427958324 mean_absolute_error 0.39084358055325824 mean_absolute_error 0.29551437088528926 mean_absolute_error 0.3064744493973431 mean_absolute_error 0.3804205845147873 mean_absolute_error 0.40212304271786187 mean_absolute_error 0.3239994620641552 mean_absolute_error 0.33223522817121687 mean_absolute_error 0.32096852673285725 mean_prior_absolute_error 0.36410666666666686 mean_prior_absolute_error 0.36410666666666686 mean_prior_absolute_error 0.36410666666666686 mean_prior_absolute_error 0.36410666666666686 mean_prior_absolute_error 0.36410666666666686 mean_prior_absolute_error 0.36410666666666686 mean_prior_absolute_error 0.36410666666666686 mean_prior_absolute_error 0.36410666666666686 mean_prior_absolute_error 0.35873873873873896 mean_prior_absolute_error 0.35873873873873896 number_of_instances 75 [57,18] number_of_instances 75 [57,18] number_of_instances 75 [57,18] number_of_instances 75 [57,18] number_of_instances 75 [57,18] number_of_instances 75 [57,18] number_of_instances 75 [57,18] number_of_instances 75 [57,18] number_of_instances 74 [57,17] number_of_instances 74 [57,17] precision 0.7054545454545454 [0.787879,0.444444] precision 0.82 [0.833333,0.777778] precision 0.7163525835866261 [0.829787,0.357143] precision 0.8 [0.8,0.8] precision 0.7861344537815126 [0.808824,0.714286] precision 0.7411428571428571 [0.785714,0.6] precision 0.6722742474916388 [0.788462,0.304348] precision 0.7800421389131066 [0.83871,0.583333] precision 0.7373981800211308 [0.819672,0.461538] predictive_accuracy 0.7466666666666667 predictive_accuracy 0.8266666666666667 predictive_accuracy 0.6533333333333333 predictive_accuracy 0.8 predictive_accuracy 0.8 predictive_accuracy 0.7733333333333333 predictive_accuracy 0.64 predictive_accuracy 0.76 predictive_accuracy 0.7972972972972973 predictive_accuracy 0.7567567567567568 prior_entropy 0.7950473279640615 prior_entropy 0.7950473279640615 prior_entropy 0.7950473279640615 prior_entropy 0.7950473279640615 prior_entropy 0.7950473279640615 prior_entropy 0.7950473279640615 prior_entropy 0.7950473279640615 prior_entropy 0.7950473279640615 prior_entropy 0.7778597106646706 prior_entropy 0.7778597106646706 recall 0.7466666666666667 [0.912281,0.222222] recall 0.8266666666666667 [0.964912,0.388889] recall 0.6533333333333333 [0.684211,0.555556] recall 0.8 [0.982456,0.222222] recall 0.8 [0.964912,0.277778] recall 0.7733333333333333 [0.964912,0.166667] recall 0.64 [0.719298,0.388889] recall 0.76 [1,0] recall 0.7972972972972973 [0.912281,0.411765] recall 0.7567567567567568 [0.877193,0.352941] relative_absolute_error 0.9068217456698469 relative_absolute_error 0.8355730398040403 relative_absolute_error 1.073431541727492 relative_absolute_error 0.8116148314192428 relative_absolute_error 0.8417161163322368 relative_absolute_error 1.0448053258608845 relative_absolute_error 1.10440999721106 relative_absolute_error 0.889847651047738 relative_absolute_error 0.9261202995229797 relative_absolute_error 0.8947138741172057 root_mean_prior_squared_error 0.4270852113779844 root_mean_prior_squared_error 0.4270852113779844 root_mean_prior_squared_error 0.4270852113779844 root_mean_prior_squared_error 0.4270852113779844 root_mean_prior_squared_error 0.4270852113779844 root_mean_prior_squared_error 0.4270852113779844 root_mean_prior_squared_error 0.4270852113779844 root_mean_prior_squared_error 0.4270852113779844 root_mean_prior_squared_error 0.4207539065176338 root_mean_prior_squared_error 0.4207539065176338 root_mean_squared_error 0.4187070447079653 root_mean_squared_error 0.39889957681607213 root_mean_squared_error 0.5450914315615671 root_mean_squared_error 0.4014294711275974 root_mean_squared_error 0.39590573954421643 root_mean_squared_error 0.44010085100917273 root_mean_squared_error 0.5465465342270321 root_mean_squared_error 0.4032672480232588 root_mean_squared_error 0.41260236041548604 root_mean_squared_error 0.4171035364827887 root_relative_squared_error 0.9803829155240777 root_relative_squared_error 0.9340046580611591 root_relative_squared_error 1.2763060322384785 root_relative_squared_error 0.9399282869860817 root_relative_squared_error 0.9269947284450148 root_relative_squared_error 1.0304755100023097 root_relative_squared_error 1.2797130869121116 root_relative_squared_error 0.9442313554293362 root_relative_squared_error 0.980626332932678 root_relative_squared_error 0.9913242159411962 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 usercpu_time_millis 1.3477670000000552 usercpu_time_millis 1.1379390000000322 usercpu_time_millis 1.103819000000117 usercpu_time_millis 1.1081220000001002 usercpu_time_millis 1.081361000000003 usercpu_time_millis 1.1735840000000053 usercpu_time_millis 1.1028330000000253 usercpu_time_millis 1.0679829999999946 usercpu_time_millis 1.1177090000000778 usercpu_time_millis 1.0763699999999377 usercpu_time_millis_testing 0.2281560000000349 usercpu_time_millis_testing 0.21152400000001848 usercpu_time_millis_testing 0.20583400000007135 usercpu_time_millis_testing 0.20709400000007427 usercpu_time_millis_testing 0.2071630000000102 usercpu_time_millis_testing 0.20453700000000463 usercpu_time_millis_testing 0.2097690000000263 usercpu_time_millis_testing 0.20543800000005774 usercpu_time_millis_testing 0.21131200000001904 usercpu_time_millis_testing 0.20725700000001623 usercpu_time_millis_training 1.1196110000000203 usercpu_time_millis_training 0.9264150000000138 usercpu_time_millis_training 0.8979850000000456 usercpu_time_millis_training 0.9010280000000259 usercpu_time_millis_training 0.8741979999999927 usercpu_time_millis_training 0.9690470000000007 usercpu_time_millis_training 0.893063999999999 usercpu_time_millis_training 0.8625449999999368 usercpu_time_millis_training 0.9063970000000587 usercpu_time_millis_training 0.8691129999999214 wall_clock_time_millis 1.3501644134521484 wall_clock_time_millis 1.140594482421875 wall_clock_time_millis 1.1067390441894531 wall_clock_time_millis 1.1107921600341797 wall_clock_time_millis 1.0845661163330078 wall_clock_time_millis 1.176595687866211 wall_clock_time_millis 1.1057853698730469 wall_clock_time_millis 1.0707378387451172 wall_clock_time_millis 1.1200904846191406 wall_clock_time_millis 1.0790824890136719 wall_clock_time_millis_testing 0.2295970916748047 wall_clock_time_millis_testing 0.21314620971679688 wall_clock_time_millis_testing 0.20766258239746094 wall_clock_time_millis_testing 0.20885467529296875 wall_clock_time_millis_testing 0.20885467529296875 wall_clock_time_millis_testing 0.20623207092285156 wall_clock_time_millis_testing 0.21147727966308594 wall_clock_time_millis_testing 0.20694732666015625 wall_clock_time_millis_testing 0.2129077911376953 wall_clock_time_millis_testing 0.20885467529296875 wall_clock_time_millis_training 1.1205673217773438 wall_clock_time_millis_training 0.9274482727050781 wall_clock_time_millis_training 0.8990764617919922 wall_clock_time_millis_training 0.9019374847412109 wall_clock_time_millis_training 0.8757114410400391 wall_clock_time_millis_training 0.9703636169433594 wall_clock_time_millis_training 0.8943080902099609 wall_clock_time_millis_training 0.8637905120849609 wall_clock_time_millis_training 0.9071826934814453 wall_clock_time_millis_training 0.8702278137207031