10326600 8323 Heinrich Peters 9981 Supervised Classification 16345 sklearn.pipeline.Pipeline(simpleimputer=sklearn.impute._base.SimpleImputer,standardscaler=sklearn.preprocessing.data.StandardScaler,svc=sklearn.svm.classes.SVC)(1) 8182271 add_indicator false 12737 copy true 12737 fill_value null 12737 missing_values NaN 12737 strategy "most_frequent" 12737 verbose 0 12737 copy true 13294 with_mean true 13294 with_std true 13294 C 10139.809803411456 13389 cache_size 200 13389 class_weight null 13389 coef0 -0.3001248192233066 13389 decision_function_shape "ovr" 13389 degree 3 13389 gamma 0.005578662823307313 13389 kernel "poly" 13389 max_iter -1 13389 probability false 13389 random_state 58252 13389 shrinking true 13389 tol 0.001 13389 verbose false 13389 memory null 16345 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"}}] 16345 verbose false 16345 openml-python Sklearn_0.21.2. 1468 cnae-9 https://www.openml.org/data/download/1586233/phpmcGu2X -1 21574886 description https://api.openml.org/data/download/21574886/description.xml -1 21574887 predictions https://api.openml.org/data/download/21574887/predictions.arff area_under_roc_curve 0.9125 [0.966667,0.920312,0.902083,0.847917,0.976562,0.882292,0.910417,0.970833,0.835417] average_cost 0 f_measure 0.846195435810437 [0.937759,0.883117,0.852174,0.761062,0.958333,0.714801,0.776119,0.942149,0.790244] kappa 0.8250000000000001 kb_relative_information_score 0.8361058313889025 mean_absolute_error 0.034567901234567815 mean_prior_absolute_error 0.197530864197526 number_of_instances 1080 [120,120,120,120,120,120,120,120,120] precision 0.8593344169431241 [0.933884,0.918919,0.890909,0.811321,0.958333,0.630573,0.702703,0.934426,0.952941] predictive_accuracy 0.8444444444444444 prior_entropy 3.1699250014422624 recall 0.8444444444444444 [0.941667,0.85,0.816667,0.716667,0.958333,0.825,0.866667,0.95,0.675] relative_absolute_error 0.17500000000000387 root_mean_prior_squared_error 0.3142696805273506 root_mean_squared_error 0.18592445034090543 root_relative_squared_error 0.5916079783099681 total_cost 0 area_under_roc_curve 0.9010416666666666 [0.953125,0.890625,0.786458,0.911458,0.953125,0.869792,0.958333,0.869792,0.916667] area_under_roc_curve 0.9010416666666666 [0.994792,0.958333,0.953125,0.90625,0.875,0.765625,0.90625,1,0.75] area_under_roc_curve 0.9322916666666666 [1,0.90625,0.864583,0.828125,1,0.979167,0.901042,0.994792,0.916667] area_under_roc_curve 0.8854166666666666 [1,0.869792,0.864583,0.697917,1,0.78125,0.921875,1,0.833333] area_under_roc_curve 0.9010416666666666 [0.958333,1,0.828125,0.786458,0.979167,0.90625,0.984375,0.916667,0.75] area_under_roc_curve 0.9322916666666666 [0.958333,0.958333,0.989583,0.854167,1,0.9375,0.875,0.984375,0.833333] area_under_roc_curve 0.9166666666666666 [0.953125,0.875,0.947917,0.875,1,0.869792,0.854167,1,0.875] area_under_roc_curve 0.9166666666666666 [0.953125,0.911458,0.911458,0.901042,0.958333,0.932292,0.973958,0.958333,0.75] area_under_roc_curve 0.9166666666666666 [0.9375,0.875,1,0.869792,1,0.890625,0.78125,0.989583,0.90625] area_under_roc_curve 0.921875 [0.958333,0.958333,0.875,0.848958,1,0.890625,0.947917,0.994792,0.822917] 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 0.8265659818799915 [0.916667,0.740741,0.7,0.869565,0.916667,0.818182,0.75,0.818182,0.909091] f_measure 0.8267034736599954 [0.96,0.956522,0.916667,0.833333,0.857143,0.583333,0.666667,1,0.666667] f_measure 0.8782311730137816 [1,0.833333,0.782609,0.761905,1,0.857143,0.8,0.96,0.909091] f_measure 0.7993081077749269 [1,0.818182,0.782609,0.526316,1,0.533333,0.733333,1,0.8] f_measure 0.8229869432767983 [0.956522,1,0.761905,0.7,0.857143,0.666667,0.888889,0.909091,0.666667] f_measure 0.8796629957982616 [0.956522,0.956522,0.923077,0.72,1,0.814815,0.857143,0.888889,0.8] f_measure 0.8592507253797577 [0.916667,0.857143,0.88,0.857143,1,0.645161,0.72,1,0.857143] f_measure 0.8498675265541833 [0.916667,0.869565,0.869565,0.8,0.956522,0.785714,0.827586,0.956522,0.666667] f_measure 0.8504396837730172 [0.814815,0.857143,1,0.818182,1,0.740741,0.666667,0.923077,0.833333] f_measure 0.8633897217472097 [0.956522,0.956522,0.857143,0.692308,1,0.740741,0.88,0.96,0.727273] kappa 0.8020833333333335 kappa 0.8020833333333335 kappa 0.8645833333333335 kappa 0.7708333333333333 kappa 0.8020833333333335 kappa 0.8645833333333335 kappa 0.8333333333333334 kappa 0.8333333333333334 kappa 0.8333333333333334 kappa 0.84375 kb_relative_information_score 0.8146434997850601 kb_relative_information_score 0.8146434997850599 kb_relative_information_score 0.8731771314318831 kb_relative_information_score 0.7853766839616483 kb_relative_information_score 0.8146434997850601 kb_relative_information_score 0.8731771314318831 kb_relative_information_score 0.8439103156084715 kb_relative_information_score 0.8439103156084716 kb_relative_information_score 0.8439103156084715 kb_relative_information_score 0.853665920882942 mean_absolute_error 0.039094650205761326 mean_absolute_error 0.039094650205761326 mean_absolute_error 0.026748971193415644 mean_absolute_error 0.045267489711934165 mean_absolute_error 0.039094650205761326 mean_absolute_error 0.026748971193415644 mean_absolute_error 0.03292181069958849 mean_absolute_error 0.03292181069958849 mean_absolute_error 0.03292181069958849 mean_absolute_error 0.030864197530864206 mean_prior_absolute_error 0.1975308641975314 mean_prior_absolute_error 0.1975308641975314 mean_prior_absolute_error 0.1975308641975314 mean_prior_absolute_error 0.1975308641975314 mean_prior_absolute_error 0.1975308641975314 mean_prior_absolute_error 0.1975308641975314 mean_prior_absolute_error 0.1975308641975314 mean_prior_absolute_error 0.1975308641975314 mean_prior_absolute_error 0.1975308641975314 mean_prior_absolute_error 0.1975308641975314 number_of_instances 108 [12,12,12,12,12,12,12,12,12] number_of_instances 108 [12,12,12,12,12,12,12,12,12] number_of_instances 108 [12,12,12,12,12,12,12,12,12] number_of_instances 108 [12,12,12,12,12,12,12,12,12] number_of_instances 108 [12,12,12,12,12,12,12,12,12] number_of_instances 108 [12,12,12,12,12,12,12,12,12] number_of_instances 108 [12,12,12,12,12,12,12,12,12] number_of_instances 108 [12,12,12,12,12,12,12,12,12] number_of_instances 108 [12,12,12,12,12,12,12,12,12] number_of_instances 108 [12,12,12,12,12,12,12,12,12] precision 0.8537878787878788 [0.916667,0.666667,0.875,0.909091,0.916667,0.9,0.6,0.9,1] precision 0.8644688644688645 [0.923077,1,0.916667,0.833333,1,0.583333,0.52381,1,1] precision 0.8869679703013036 [1,0.833333,0.818182,0.888889,1,0.75,0.769231,0.923077,1] precision 0.8320025653358987 [1,0.9,0.818182,0.714286,1,0.444444,0.611111,1,1] precision 0.8708553791887126 [1,1,0.888889,0.875,0.75,0.52381,0.8,1,1] precision 0.898087098087098 [1,1,0.857143,0.692308,1,0.733333,1,0.8,1] precision 0.886827110511321 [0.916667,1,0.846154,1,1,0.526316,0.692308,1,1] precision 0.8774957341133812 [0.916667,0.909091,0.909091,0.769231,1,0.6875,0.705882,1,1] precision 0.8631393298059964 [0.733333,1,1,0.9,1,0.666667,0.777778,0.857143,0.833333] precision 0.8754171754171755 [1,1,1,0.642857,1,0.666667,0.846154,0.923077,0.8] predictive_accuracy 0.8240740740740741 predictive_accuracy 0.8240740740740741 predictive_accuracy 0.8796296296296297 predictive_accuracy 0.7962962962962963 predictive_accuracy 0.8240740740740741 predictive_accuracy 0.8796296296296297 predictive_accuracy 0.8518518518518519 predictive_accuracy 0.8518518518518519 predictive_accuracy 0.8518518518518519 predictive_accuracy 0.8611111111111112 prior_entropy 3.169925001442319 prior_entropy 3.169925001442319 prior_entropy 3.169925001442319 prior_entropy 3.169925001442319 prior_entropy 3.169925001442319 prior_entropy 3.169925001442319 prior_entropy 3.169925001442319 prior_entropy 3.169925001442319 prior_entropy 3.169925001442319 prior_entropy 3.169925001442319 recall 0.8240740740740741 [0.916667,0.833333,0.583333,0.833333,0.916667,0.75,1,0.75,0.833333] recall 0.8240740740740741 [1,0.916667,0.916667,0.833333,0.75,0.583333,0.916667,1,0.5] recall 0.8796296296296297 [1,0.833333,0.75,0.666667,1,1,0.833333,1,0.833333] recall 0.7962962962962963 [1,0.75,0.75,0.416667,1,0.666667,0.916667,1,0.666667] recall 0.8240740740740741 [0.916667,1,0.666667,0.583333,1,0.916667,1,0.833333,0.5] recall 0.8796296296296297 [0.916667,0.916667,1,0.75,1,0.916667,0.75,1,0.666667] recall 0.8518518518518519 [0.916667,0.75,0.916667,0.75,1,0.833333,0.75,1,0.75] recall 0.8518518518518519 [0.916667,0.833333,0.833333,0.833333,0.916667,0.916667,1,0.916667,0.5] recall 0.8518518518518519 [0.916667,0.75,1,0.75,1,0.833333,0.583333,1,0.833333] recall 0.8611111111111112 [0.916667,0.916667,0.75,0.75,1,0.833333,0.916667,1,0.666667] relative_absolute_error 0.19791666666666619 relative_absolute_error 0.19791666666666619 relative_absolute_error 0.13541666666666632 relative_absolute_error 0.2291666666666661 relative_absolute_error 0.19791666666666619 relative_absolute_error 0.13541666666666632 relative_absolute_error 0.16666666666666624 relative_absolute_error 0.16666666666666624 relative_absolute_error 0.16666666666666624 relative_absolute_error 0.1562499999999996 root_mean_prior_squared_error 0.3142696805273549 root_mean_prior_squared_error 0.3142696805273549 root_mean_prior_squared_error 0.3142696805273549 root_mean_prior_squared_error 0.3142696805273549 root_mean_prior_squared_error 0.3142696805273549 root_mean_prior_squared_error 0.3142696805273549 root_mean_prior_squared_error 0.3142696805273549 root_mean_prior_squared_error 0.3142696805273549 root_mean_prior_squared_error 0.3142696805273549 root_mean_prior_squared_error 0.3142696805273549 root_mean_squared_error 0.1977236713339132 root_mean_squared_error 0.1977236713339132 root_mean_squared_error 0.1635511271542194 root_mean_squared_error 0.21276157950140848 root_mean_squared_error 0.1977236713339132 root_mean_squared_error 0.1635511271542194 root_mean_squared_error 0.1814436846506058 root_mean_squared_error 0.1814436846506058 root_mean_squared_error 0.1814436846506058 root_mean_squared_error 0.17568209223157666 root_relative_squared_error 0.629152869605895 root_relative_squared_error 0.629152869605895 root_relative_squared_error 0.5204164998665326 root_relative_squared_error 0.6770032003863292 root_relative_squared_error 0.629152869605895 root_relative_squared_error 0.5204164998665326 root_relative_squared_error 0.5773502691896251 root_relative_squared_error 0.5773502691896251 root_relative_squared_error 0.5773502691896251 root_relative_squared_error 0.5590169943749468 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 893.161672000133 usercpu_time_millis 907.9981710019638 usercpu_time_millis 908.707257003698 usercpu_time_millis 887.999619000766 usercpu_time_millis 894.3352130008861 usercpu_time_millis 858.8550990025396 usercpu_time_millis 902.802160999272 usercpu_time_millis 892.1723550010938 usercpu_time_millis 951.0543039941695 usercpu_time_millis 896.7572739929892 usercpu_time_millis_testing 58.43887299852213 usercpu_time_millis_testing 62.32957800239092 usercpu_time_millis_testing 64.07852700067451 usercpu_time_millis_testing 59.26822900073603 usercpu_time_millis_testing 61.45825400017202 usercpu_time_millis_testing 63.172594003845006 usercpu_time_millis_testing 60.40401400241535 usercpu_time_millis_testing 59.58188400109066 usercpu_time_millis_testing 59.84151599841425 usercpu_time_millis_testing 66.1702189972857 usercpu_time_millis_training 834.7227990016108 usercpu_time_millis_training 845.6685929995729 usercpu_time_millis_training 844.6287300030235 usercpu_time_millis_training 828.7313900000299 usercpu_time_millis_training 832.8769590007141 usercpu_time_millis_training 795.6825049986946 usercpu_time_millis_training 842.3981469968567 usercpu_time_millis_training 832.5904710000032 usercpu_time_millis_training 891.2127879957552 usercpu_time_millis_training 830.5870549957035 wall_clock_time_millis 973.3152389526367 wall_clock_time_millis 1104.1340827941895 wall_clock_time_millis 1072.7620124816895 wall_clock_time_millis 888.0908489227295 wall_clock_time_millis 1014.4214630126953 wall_clock_time_millis 858.9298725128174 wall_clock_time_millis 1058.8626861572266 wall_clock_time_millis 968.2965278625488 wall_clock_time_millis 1063.1091594696045 wall_clock_time_millis 1052.8404712677002 wall_clock_time_millis_testing 58.45451354980469 wall_clock_time_millis_testing 94.35844421386719 wall_clock_time_millis_testing 64.09454345703125 wall_clock_time_millis_testing 59.28516387939453 wall_clock_time_millis_testing 61.47408485412598 wall_clock_time_millis_testing 63.187599182128906 wall_clock_time_millis_testing 60.42146682739258 wall_clock_time_millis_testing 59.59773063659668 wall_clock_time_millis_testing 59.85760688781738 wall_clock_time_millis_testing 110.18252372741699 wall_clock_time_millis_training 914.860725402832 wall_clock_time_millis_training 1009.7756385803223 wall_clock_time_millis_training 1008.6674690246582 wall_clock_time_millis_training 828.805685043335 wall_clock_time_millis_training 952.9473781585693 wall_clock_time_millis_training 795.7422733306885 wall_clock_time_millis_training 998.441219329834 wall_clock_time_millis_training 908.6987972259521 wall_clock_time_millis_training 1003.2515525817871 wall_clock_time_millis_training 942.6579475402832