10559090 8323 Heinrich Peters 15 Supervised Classification 17494 sklearn.pipeline.Pipeline(simpleimputer=sklearn.impute._base.SimpleImputer,standardscaler=sklearn.preprocessing.data.StandardScaler,svc=sklearn.svm.classes.SVC)(4) 8270239 copy true 17405 with_mean true 17405 with_std true 17405 add_indicator false 17407 copy true 17407 fill_value null 17407 missing_values NaN 17407 strategy "median" 17407 verbose 0 17407 memory null 17494 steps [{"oml-python:serialized_object": "component_reference", "value": {"key": "simpleimputer", "step_name": "simpleimputer"}}, {"oml-python:serialized_object": "component_reference", "value": {"key": "standardscaler", "step_name": "standardscaler"}}, {"oml-python:serialized_object": "component_reference", "value": {"key": "svc", "step_name": "svc"}}] 17494 verbose false 17494 C 0.1245563730317402 17495 cache_size 200 17495 class_weight null 17495 coef0 -0.8010632981380832 17495 decision_function_shape "ovr" 17495 degree 3 17495 gamma 0.2962905189710718 17495 kernel "poly" 17495 max_iter -1 17495 probability true 17495 random_state 1 17495 shrinking true 17495 tol 0.001 17495 verbose false 17495 openml-python Sklearn_0.21.2. 15 breast-w https://www.openml.org/data/download/52350/openml_phpJNxH0q -1 22043144 description https://api.openml.org/data/download/22043144/description.xml -1 22043145 predictions https://api.openml.org/data/download/22043145/predictions.arff area_under_roc_curve 0.9430593052963453 [0.943059,0.943059] average_cost 0 f_measure 0.937618100219829 [0.954304,0.905908] kappa 0.8604148961366456 kb_relative_information_score 0.7612229696257713 mean_absolute_error 0.12011933694939136 mean_prior_absolute_error 0.4519499019385762 weighted_recall 0.9384835479256081 [0.980349,0.858921] number_of_instances 699 [458,241] precision 0.9395109695305628 [0.929607,0.958333] predictive_accuracy 0.938483547925608 prior_entropy 0.92931856324281 relative_absolute_error 0.2657802035892832 root_mean_prior_squared_error 0.47529612442517866 root_mean_squared_error 0.23369436645094108 root_relative_squared_error 0.4916816158212318 total_cost 0 unweighted_recall 0.9196352534019461 [0.980349,0.858921] area_under_roc_curve 0.9257246376811594 [0.925725,0.925725] area_under_roc_curve 0.9646739130434782 [0.964674,0.964674] area_under_roc_curve 0.9021739130434783 [0.902174,0.902174] area_under_roc_curve 0.9990942028985509 [0.999094,0.999094] area_under_roc_curve 0.921195652173913 [0.921196,0.921196] area_under_roc_curve 0.9891304347826088 [0.98913,0.98913] area_under_roc_curve 0.8632246376811595 [0.863225,0.863225] area_under_roc_curve 0.9365942028985509 [0.936594,0.936594] area_under_roc_curve 0.9502222222222222 [0.950222,0.950222] area_under_roc_curve 0.987037037037037 [0.987037,0.987037] 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 0.9121753246753247 [0.9375,0.863636] f_measure 0.9428571428571428 [0.956522,0.916667] f_measure 0.956390977443609 [0.968421,0.933333] f_measure 0.9856391149459097 [0.989247,0.978723] f_measure 0.9414502164502165 [0.958333,0.909091] f_measure 0.956390977443609 [0.968421,0.933333] f_measure 0.9107871720116617 [0.938776,0.857143] f_measure 0.8994738046213682 [0.924731,0.851064] f_measure 0.9422877846790888 [0.956522,0.916667] f_measure 0.9271634933059539 [0.945055,0.893617] kappa 0.8018867924528301 kappa 0.8731884057971014 kappa 0.9019607843137256 kappa 0.9679780420860019 kappa 0.8679245283018867 kappa 0.9019607843137256 kappa 0.7976878612716762 kappa 0.7758462946020128 kappa 0.8733031674208144 kappa 0.8387096774193549 kb_relative_information_score 0.7168600021331278 kb_relative_information_score 0.7975246079986894 kb_relative_information_score 0.771241472652576 kb_relative_information_score 0.8478509986517266 kb_relative_information_score 0.7793862287870766 kb_relative_information_score 0.810849451709654 kb_relative_information_score 0.7060950776383436 kb_relative_information_score 0.7045414166689183 kb_relative_information_score 0.727264258657277 kb_relative_information_score 0.7510030224104465 mean_absolute_error 0.140128903776353 mean_absolute_error 0.10034889253965588 mean_absolute_error 0.11955285355219217 mean_absolute_error 0.08469455560067098 mean_absolute_error 0.11012678125459761 mean_absolute_error 0.09908541001368816 mean_absolute_error 0.1434240161670625 mean_absolute_error 0.14246126563231398 mean_absolute_error 0.13824388091141673 mean_absolute_error 0.1231703966125825 mean_prior_absolute_error 0.45135520684736086 mean_prior_absolute_error 0.45135520684736086 mean_prior_absolute_error 0.45135520684736086 mean_prior_absolute_error 0.45135520684736086 mean_prior_absolute_error 0.45135520684736086 mean_prior_absolute_error 0.45135520684736086 mean_prior_absolute_error 0.45135520684736086 mean_prior_absolute_error 0.45135520684736086 mean_prior_absolute_error 0.45577746077032805 mean_prior_absolute_error 0.45289338212491465 number_of_instances 70 [46,24] number_of_instances 70 [46,24] number_of_instances 70 [46,24] number_of_instances 70 [46,24] number_of_instances 70 [46,24] number_of_instances 70 [46,24] number_of_instances 70 [46,24] number_of_instances 70 [46,24] number_of_instances 70 [45,25] number_of_instances 69 [45,24] precision 0.9171428571428569 [0.9,0.95] precision 0.9428571428571428 [0.956522,0.916667] precision 0.9597667638483965 [0.938776,1] precision 0.9860182370820668 [0.978723,1] precision 0.9474285714285713 [0.92,1] precision 0.9597667638483965 [0.938776,1] precision 0.9241758241758242 [0.884615,1] precision 0.8993524514338576 [0.914894,0.869565] precision 0.9434386150389851 [0.93617,0.956522] precision 0.9272211720226843 [0.934783,0.913043] predictive_accuracy 0.9142857142857143 predictive_accuracy 0.942857142857143 predictive_accuracy 0.9571428571428571 predictive_accuracy 0.9857142857142857 predictive_accuracy 0.942857142857143 predictive_accuracy 0.9571428571428571 predictive_accuracy 0.9142857142857143 predictive_accuracy 0.9 predictive_accuracy 0.942857142857143 predictive_accuracy 0.927536231884058 prior_entropy 0.9275444412731174 prior_entropy 0.9275444412731174 prior_entropy 0.9275444412731174 prior_entropy 0.9275444412731174 prior_entropy 0.9275444412731174 prior_entropy 0.9275444412731174 prior_entropy 0.9275444412731174 prior_entropy 0.9275444412731174 prior_entropy 0.9407371142179634 prior_entropy 0.9321331970800204 relative_absolute_error 0.3104625839039933 relative_absolute_error 0.2223279825230682 relative_absolute_error 0.264875317130489 relative_absolute_error 0.18764501730742847 relative_absolute_error 0.243991383247386 relative_absolute_error 0.21952867389252656 relative_absolute_error 0.3177630699529419 relative_absolute_error 0.3156300480665364 relative_absolute_error 0.30331443041910217 relative_absolute_error 0.27196333943914924 root_mean_prior_squared_error 0.47467010734022363 root_mean_prior_squared_error 0.47467010734022363 root_mean_prior_squared_error 0.47467010734022363 root_mean_prior_squared_error 0.47467010734022363 root_mean_prior_squared_error 0.47467010734022363 root_mean_prior_squared_error 0.47467010734022363 root_mean_prior_squared_error 0.47467010734022363 root_mean_prior_squared_error 0.47467010734022363 root_mean_prior_squared_error 0.4793057111336632 root_mean_prior_squared_error 0.4762876085727333 root_mean_squared_error 0.2578485026006978 root_mean_squared_error 0.22964592361476413 root_mean_squared_error 0.22294698602758334 root_mean_squared_error 0.13661643547700011 root_mean_squared_error 0.23565775851577342 root_mean_squared_error 0.186958318095252 root_mean_squared_error 0.27984078191910894 root_mean_squared_error 0.27762619695266083 root_mean_squared_error 0.24005556868505726 root_mean_squared_error 0.23461107398480732 root_relative_squared_error 0.5432162224108265 root_relative_squared_error 0.48380110747139077 root_relative_squared_error 0.4696882794597055 root_relative_squared_error 0.28781343793170266 root_relative_squared_error 0.4964663981818089 root_relative_squared_error 0.3938700061456538 root_relative_squared_error 0.5895479356961714 root_relative_squared_error 0.5848824112989066 root_relative_squared_error 0.5008402009591605 root_relative_squared_error 0.49258277931658634 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 0.884963768115942 [0.978261,0.791667] unweighted_recall 0.9365942028985508 [0.956522,0.916667] unweighted_recall 0.9375 [1,0.875] unweighted_recall 0.9791666666666667 [1,0.958333] unweighted_recall 0.9166666666666667 [1,0.833333] unweighted_recall 0.9375 [1,0.875] unweighted_recall 0.875 [1,0.75] unweighted_recall 0.8840579710144928 [0.934783,0.833333] unweighted_recall 0.9288888888888889 [0.977778,0.88] unweighted_recall 0.9152777777777779 [0.955556,0.875] usercpu_time_millis 13.337999997020233 usercpu_time_millis 13.10600000215345 usercpu_time_millis 13.417999998637242 usercpu_time_millis 13.008000001718756 usercpu_time_millis 13.445999997202307 usercpu_time_millis 13.698000002477784 usercpu_time_millis 13.126000001648208 usercpu_time_millis 14.108000003034249 usercpu_time_millis 14.218000000255415 usercpu_time_millis 13.447999997879378 usercpu_time_millis_testing 0.6319999993138481 usercpu_time_millis_testing 0.6280000015976839 usercpu_time_millis_testing 0.6519999988086056 usercpu_time_millis_testing 0.6320000029518269 usercpu_time_millis_testing 0.8079999970505014 usercpu_time_millis_testing 0.7880000011937227 usercpu_time_millis_testing 0.6299999986367766 usercpu_time_millis_testing 0.6439999997382984 usercpu_time_millis_testing 0.6339999999909196 usercpu_time_millis_testing 0.6900000007590279 usercpu_time_millis_training 12.705999997706385 usercpu_time_millis_training 12.478000000555767 usercpu_time_millis_training 12.765999999828637 usercpu_time_millis_training 12.375999998766929 usercpu_time_millis_training 12.638000000151806 usercpu_time_millis_training 12.910000001284061 usercpu_time_millis_training 12.496000003011432 usercpu_time_millis_training 13.46400000329595 usercpu_time_millis_training 13.584000000264496 usercpu_time_millis_training 12.75799999712035 wall_clock_time_millis 6.6852569580078125 wall_clock_time_millis 6.619930267333984 wall_clock_time_millis 6.759166717529297 wall_clock_time_millis 6.518840789794922 wall_clock_time_millis 6.8817138671875 wall_clock_time_millis 6.892919540405273 wall_clock_time_millis 6.593942642211914 wall_clock_time_millis 7.154941558837891 wall_clock_time_millis 7.187128067016602 wall_clock_time_millis 6.741762161254883 wall_clock_time_millis_testing 0.3190040588378906 wall_clock_time_millis_testing 0.3170967102050781 wall_clock_time_millis_testing 0.32901763916015625 wall_clock_time_millis_testing 0.3190040588378906 wall_clock_time_millis_testing 0.4057884216308594 wall_clock_time_millis_testing 0.396728515625 wall_clock_time_millis_testing 0.3180503845214844 wall_clock_time_millis_testing 0.3247261047363281 wall_clock_time_millis_testing 0.3190040588378906 wall_clock_time_millis_testing 0.3459453582763672 wall_clock_time_millis_training 6.366252899169922 wall_clock_time_millis_training 6.302833557128906 wall_clock_time_millis_training 6.430149078369141 wall_clock_time_millis_training 6.199836730957031 wall_clock_time_millis_training 6.475925445556641 wall_clock_time_millis_training 6.496191024780273 wall_clock_time_millis_training 6.27589225769043 wall_clock_time_millis_training 6.8302154541015625 wall_clock_time_millis_training 6.868124008178711 wall_clock_time_millis_training 6.395816802978516 weighted_recall 0.9142857142857143 [0.978261,0.791667] weighted_recall 0.9428571428571428 [0.956522,0.916667] weighted_recall 0.9571428571428572 [1,0.875] weighted_recall 0.9857142857142858 [1,0.958333] weighted_recall 0.9428571428571428 [1,0.833333] weighted_recall 0.9571428571428572 [1,0.875] weighted_recall 0.9142857142857143 [1,0.75] weighted_recall 0.9 [0.934783,0.833333] weighted_recall 0.9428571428571428 [0.977778,0.88] weighted_recall 0.927536231884058 [0.955556,0.875]