10559085 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) 8270224 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 547.0836590063223 17495 cache_size 200 17495 class_weight null 17495 coef0 0.7039368935060544 17495 decision_function_shape "ovr" 17495 degree 3 17495 gamma 0.003970623713474363 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 22043134 description https://api.openml.org/data/download/22043134/description.xml -1 22043135 predictions https://api.openml.org/data/download/22043135/predictions.arff area_under_roc_curve 0.993277645907699 [0.993278,0.993278] average_cost 0 f_measure 0.9614656785326786 [0.970362,0.944559] kappa 0.914925554789241 kb_relative_information_score 0.882289917906903 mean_absolute_error 0.05724224604644311 mean_prior_absolute_error 0.4519499019385762 weighted_recall 0.9613733905579399 [0.965066,0.954357] number_of_instances 699 [458,241] precision 0.9616649362639492 [0.975717,0.934959] predictive_accuracy 0.9613733905579399 prior_entropy 0.92931856324281 relative_absolute_error 0.1266561753878261 root_mean_prior_squared_error 0.47529612442517866 root_mean_squared_error 0.1612917781393023 root_relative_squared_error 0.33935008061420224 total_cost 0 unweighted_recall 0.9597111743282176 [0.965066,0.954357] area_under_roc_curve 0.9972826086956522 [0.997283,0.997283] area_under_roc_curve 0.9773550724637681 [0.977355,0.977355] area_under_roc_curve 1 [1,1] area_under_roc_curve 1 [1,1] area_under_roc_curve 0.9981884057971013 [0.998188,0.998188] area_under_roc_curve 0.9963768115942029 [0.996377,0.996377] area_under_roc_curve 0.9981884057971013 [0.998188,0.998188] area_under_roc_curve 0.986413043478261 [0.986413,0.986413] area_under_roc_curve 0.9875555555555554 [0.987556,0.987556] area_under_roc_curve 0.9962962962962962 [0.996296,0.996296] 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 0.9714285714285714 [0.978261,0.958333] f_measure 0.9573446961202065 [0.967033,0.938776] f_measure 0.9711114047839302 [0.978723,0.956522] f_measure 0.9437562437562438 [0.954545,0.923077] f_measure 0.985781565373402 [0.989011,0.979592] f_measure 0.9714285714285714 [0.978261,0.958333] f_measure 0.9711114047839302 [0.978723,0.956522] f_measure 0.9433650793650794 [0.955556,0.92] f_measure 0.9282350302758465 [0.945055,0.897959] f_measure 0.9712648221343874 [0.977273,0.96] kappa 0.9365942028985507 kappa 0.9058295964125561 kappa 0.9353049907578558 kappa 0.8780487804878049 kappa 0.9686098654708521 kappa 0.9365942028985507 kappa 0.9353049907578558 kappa 0.8756660746003552 kappa 0.8430493273542602 kappa 0.9373297002724795 kb_relative_information_score 0.8882903652422204 kb_relative_information_score 0.8637811165369014 kb_relative_information_score 0.9297156889070783 kb_relative_information_score 0.8709400844798278 kb_relative_information_score 0.9207801163454918 kb_relative_information_score 0.9045932670196213 kb_relative_information_score 0.8837582983241363 kb_relative_information_score 0.8471742746071602 kb_relative_information_score 0.8360123679463805 kb_relative_information_score 0.8784759291414391 mean_absolute_error 0.056658910636304655 mean_absolute_error 0.06719161421802575 mean_absolute_error 0.034424239299471034 mean_absolute_error 0.059690698822476004 mean_absolute_error 0.041268302556272674 mean_absolute_error 0.04669006326604891 mean_absolute_error 0.0575840894747999 mean_absolute_error 0.07055521979450756 mean_absolute_error 0.07732965733155052 mean_absolute_error 0.06108455519567717 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 0.9714285714285714 [0.978261,0.958333] precision 0.9579682539682539 [0.977778,0.92] precision 0.9726190476190477 [0.958333,1] precision 0.9510204081632653 [1,0.857143] precision 0.9862857142857142 [1,0.96] precision 0.9714285714285714 [0.978261,0.958333] precision 0.9726190476190477 [0.958333,1] precision 0.9455044955044954 [0.977273,0.884615] precision 0.9283126293995859 [0.934783,0.916667] precision 0.9732441471571908 [1,0.923077] predictive_accuracy 0.9714285714285714 predictive_accuracy 0.9571428571428571 predictive_accuracy 0.9714285714285714 predictive_accuracy 0.942857142857143 predictive_accuracy 0.9857142857142857 predictive_accuracy 0.9714285714285714 predictive_accuracy 0.9714285714285714 predictive_accuracy 0.942857142857143 predictive_accuracy 0.9285714285714286 predictive_accuracy 0.9710144927536232 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 0.1255306458787913 relative_absolute_error 0.14886637663348942 relative_absolute_error 0.07626862120394816 relative_absolute_error 0.13224772400302048 relative_absolute_error 0.0914319851199341 relative_absolute_error 0.10344416671776324 relative_absolute_error 0.12758042579593784 relative_absolute_error 0.1563186127558464 relative_absolute_error 0.16966538275247864 relative_absolute_error 0.13487623711584543 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 0.14652592830974553 root_mean_squared_error 0.18656313324250173 root_mean_squared_error 0.1136069933278109 root_mean_squared_error 0.16894660589558338 root_mean_squared_error 0.1071585145471308 root_mean_squared_error 0.1561316319257991 root_mean_squared_error 0.14504174616603097 root_mean_squared_error 0.19507373733144154 root_mean_squared_error 0.19907405245578735 root_mean_squared_error 0.16694413188890558 root_relative_squared_error 0.30869002712387345 root_relative_squared_error 0.3930374598221352 root_relative_squared_error 0.23933884095714114 root_relative_squared_error 0.35592425830702146 root_relative_squared_error 0.22575366110072753 root_relative_squared_error 0.3289266155829157 root_relative_squared_error 0.3055632615644598 root_relative_squared_error 0.41096697330388415 root_relative_squared_error 0.41533836929448126 root_relative_squared_error 0.3505111803961865 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 0.9682971014492754 [0.978261,0.958333] unweighted_recall 0.957427536231884 [0.956522,0.958333] unweighted_recall 0.9583333333333333 [1,0.916667] unweighted_recall 0.9565217391304348 [0.913043,1] unweighted_recall 0.9891304347826086 [0.978261,1] unweighted_recall 0.9682971014492754 [0.978261,0.958333] unweighted_recall 0.9583333333333333 [1,0.916667] unweighted_recall 0.9465579710144928 [0.934783,0.958333] unweighted_recall 0.9177777777777778 [0.955556,0.88] unweighted_recall 0.9777777777777779 [0.955556,1] usercpu_time_millis 31.87400000024354 usercpu_time_millis 24.148000000423053 usercpu_time_millis 26.168000000325264 usercpu_time_millis 25.442000001930865 usercpu_time_millis 25.824000000284286 usercpu_time_millis 25.708000001031905 usercpu_time_millis 25.0080000005255 usercpu_time_millis 26.114000000234228 usercpu_time_millis 25.556000000506174 usercpu_time_millis 24.82399999644258 usercpu_time_millis_testing 0.8659999984956812 usercpu_time_millis_testing 0.7279999990714714 usercpu_time_millis_testing 0.8300000008603092 usercpu_time_millis_testing 0.6960000027902424 usercpu_time_millis_testing 0.7120000009308569 usercpu_time_millis_testing 0.6439999997382984 usercpu_time_millis_testing 0.7200000000011642 usercpu_time_millis_testing 0.7900000018707942 usercpu_time_millis_testing 0.7499999992433004 usercpu_time_millis_testing 0.8639999978186097 usercpu_time_millis_training 31.00800000174786 usercpu_time_millis_training 23.420000001351582 usercpu_time_millis_training 25.337999999464955 usercpu_time_millis_training 24.745999999140622 usercpu_time_millis_training 25.11199999935343 usercpu_time_millis_training 25.064000001293607 usercpu_time_millis_training 24.288000000524335 usercpu_time_millis_training 25.323999998363433 usercpu_time_millis_training 24.806000001262873 usercpu_time_millis_training 23.95999999862397 wall_clock_time_millis 15.982627868652344 wall_clock_time_millis 12.125492095947266 wall_clock_time_millis 13.238906860351562 wall_clock_time_millis 12.812137603759766 wall_clock_time_millis 13.007640838623047 wall_clock_time_millis 12.877941131591797 wall_clock_time_millis 12.542963027954102 wall_clock_time_millis 13.030052185058594 wall_clock_time_millis 12.932777404785156 wall_clock_time_millis 12.617111206054688 wall_clock_time_millis_testing 0.4353523254394531 wall_clock_time_millis_testing 0.3662109375 wall_clock_time_millis_testing 0.41794776916503906 wall_clock_time_millis_testing 0.34999847412109375 wall_clock_time_millis_testing 0.35881996154785156 wall_clock_time_millis_testing 0.32401084899902344 wall_clock_time_millis_testing 0.36406517028808594 wall_clock_time_millis_testing 0.3979206085205078 wall_clock_time_millis_testing 0.37789344787597656 wall_clock_time_millis_testing 0.43702125549316406 wall_clock_time_millis_training 15.54727554321289 wall_clock_time_millis_training 11.759281158447266 wall_clock_time_millis_training 12.820959091186523 wall_clock_time_millis_training 12.462139129638672 wall_clock_time_millis_training 12.648820877075195 wall_clock_time_millis_training 12.553930282592773 wall_clock_time_millis_training 12.178897857666016 wall_clock_time_millis_training 12.632131576538086 wall_clock_time_millis_training 12.55488395690918 wall_clock_time_millis_training 12.180089950561523 weighted_recall 0.9714285714285714 [0.978261,0.958333] weighted_recall 0.9571428571428572 [0.956522,0.958333] weighted_recall 0.9714285714285714 [1,0.916667] weighted_recall 0.9428571428571428 [0.913043,1] weighted_recall 0.9857142857142858 [0.978261,1] weighted_recall 0.9714285714285714 [0.978261,0.958333] weighted_recall 0.9714285714285714 [1,0.916667] weighted_recall 0.9428571428571428 [0.934783,0.958333] weighted_recall 0.9285714285714286 [0.955556,0.88] weighted_recall 0.9710144927536232 [0.955556,1]