10327494 8323 Heinrich Peters 146817 Supervised Classification 16345 sklearn.pipeline.Pipeline(simpleimputer=sklearn.impute._base.SimpleImputer,standardscaler=sklearn.preprocessing.data.StandardScaler,svc=sklearn.svm.classes.SVC)(1) 8183160 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 1057.9791749365027 13389 cache_size 200 13389 class_weight null 13389 coef0 -0.5918454375525388 13389 decision_function_shape "ovr" 13389 degree 3 13389 gamma 0.037153618092999184 13389 kernel "poly" 13389 max_iter -1 13389 probability false 13389 random_state 15520 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. 40982 steel-plates-fault https://www.openml.org/data/download/18151921/php5s7Ep8 -1 21576674 description https://api.openml.org/data/download/21576674/description.xml -1 21576675 predictions https://api.openml.org/data/download/21576675/predictions.arff area_under_roc_curve 0.5425455626823216 [0.578567,0.503524,0.621746,0.47874,0.523714,0.495452,0.574155] average_cost 0 f_measure 0.30949323207028057 [0.332512,0.025974,0.39698,0.3674,0.097826,0,0.251012] kappa 0.09709079458170627 kb_relative_information_score 0.185062645785903 mean_absolute_error 0.19091778906307205 mean_prior_absolute_error 0.2223438305942003 number_of_instances 1941 [402,55,391,673,158,72,190] precision 0.3328451180503438 [0.329268,0.045455,0.343284,0.325315,0.346154,0,0.54386] predictive_accuracy 0.33178773827923747 prior_entropy 2.4106995883230287 recall 0.3317877382792375 [0.335821,0.018182,0.470588,0.421991,0.056962,0,0.163158] relative_absolute_error 0.8586601595954155 root_mean_prior_squared_error 0.3333637532267832 root_mean_squared_error 0.43694140232194983 root_relative_squared_error 1.3107045924837066 total_cost 0 area_under_roc_curve 0.5472456575526491 [0.626148,0.489474,0.609274,0.440823,0.533333,0.494652,0.670006] area_under_roc_curve 0.5412784897784532 [0.635422,0.5,0.621009,0.45305,0.528441,0.497326,0.523459] area_under_roc_curve 0.5625692621771764 [0.537338,0.5,0.665922,0.528361,0.494382,0.491979,0.625865] area_under_roc_curve 0.5324936536353717 [0.540097,0.489418,0.605045,0.47514,0.497191,0.5,0.625865] area_under_roc_curve 0.539074561658405 [0.56461,0.497354,0.627543,0.468954,0.559691,0.494652,0.564662] area_under_roc_curve 0.5447514829491968 [0.584091,0.575355,0.61464,0.48102,0.579705,0.5,0.520602] area_under_roc_curve 0.5314749687339203 [0.56461,0.49734,0.646816,0.457809,0.488764,0.497326,0.54406] area_under_roc_curve 0.5641724939401311 [0.574838,0.49734,0.624235,0.53367,0.53125,0.489305,0.602406] area_under_roc_curve 0.5089481003469916 [0.547078,0.494681,0.576096,0.441239,0.5,0.494652,0.546917] area_under_roc_curve 0.5537879234829592 [0.609578,0.486702,0.627461,0.507345,0.524953,0.494624,0.517744] 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 0.32661343332014603 [0.409639,0,0.382022,0.315789,0.125,0,0.451613] f_measure 0.30755943419760967 [0.318182,0,0.404494,0.346667,0.210526,0,0.222222] f_measure 0.2861138676026487 [0.318182,0,0.431818,0.339869,0,0,0.166667] f_measure 0.33778336076698723 [0.325,0,0.4,0.428571,0.117647,0,0.333333] f_measure 0.3125480441600371 [0.379747,0,0.404255,0.394737,0.105263,0,0.086957] kappa 0.11329267862807994 kappa 0.09721515305751473 kappa 0.13442717328727688 kappa 0.07708941507189965 kappa 0.09141610954202568 kappa 0.10185185185185187 kappa 0.07423486778371785 kappa 0.1370973527512734 kappa 0.02852166340082732 kappa 0.11484993227347258 kb_relative_information_score 0.20396114446308608 kb_relative_information_score 0.1906885549438115 kb_relative_information_score 0.21324491493165343 kb_relative_information_score 0.17209982005475793 kb_relative_information_score 0.18177810550944307 kb_relative_information_score 0.19022752785685879 kb_relative_information_score 0.16383043501521638 kb_relative_information_score 0.2131481168242018 kb_relative_information_score 0.13387102691462244 kb_relative_information_score 0.18787182744042816 mean_absolute_error 0.18901098901098873 mean_absolute_error 0.18851251840942537 mean_absolute_error 0.18262150220913084 mean_absolute_error 0.1944035346097199 mean_absolute_error 0.19293078055964627 mean_absolute_error 0.19145802650957264 mean_absolute_error 0.19587628865979353 mean_absolute_error 0.18262150220913084 mean_absolute_error 0.2032400589101617 mean_absolute_error 0.18851251840942537 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] precision 0.38704497183488773 [0.404762,0,0.346939,0.282353,1,0,0.583333] precision 0.3353572625932445 [0.291667,0,0.36,0.317073,0.666667,0,0.375] precision 0.28167489484405606 [0.291667,0,0.387755,0.302326,0,0,0.4] precision 0.42704090701335634 [0.325,0,0.339286,0.37931,1,0,0.8] precision 0.31445567773645394 [0.384615,0,0.345455,0.352941,0.25,0,0.25] predictive_accuracy 0.3384615384615385 predictive_accuracy 0.3402061855670103 predictive_accuracy 0.36082474226804123 predictive_accuracy 0.31958762886597936 predictive_accuracy 0.32474226804123707 predictive_accuracy 0.3298969072164948 predictive_accuracy 0.31443298969072164 predictive_accuracy 0.36082474226804123 predictive_accuracy 0.288659793814433 predictive_accuracy 0.3402061855670103 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 recall 0.3384615384615385 [0.414634,0,0.425,0.358209,0.066667,0,0.368421] recall 0.3402061855670103 [0.414634,0,0.487179,0.41791,0.0625,0,0.052632] recall 0.36082474226804123 [0.25,0,0.564103,0.485294,0,0,0.263158] recall 0.31958762886597936 [0.275,0,0.435897,0.426471,0,0,0.263158] recall 0.3247422680412371 [0.35,0,0.461538,0.382353,0.125,0,0.157895] recall 0.32989690721649484 [0.35,0.166667,0.461538,0.402985,0.1875,0,0.052632] recall 0.31443298969072164 [0.35,0,0.487179,0.38806,0,0,0.105263] recall 0.36082474226804123 [0.325,0,0.487179,0.492537,0.0625,0,0.210526] recall 0.28865979381443296 [0.25,0,0.410256,0.41791,0,0,0.105263] recall 0.3402061855670103 [0.375,0,0.487179,0.447761,0.066667,0,0.052632] relative_absolute_error 0.850047865341094 relative_absolute_error 0.8481694270679185 relative_absolute_error 0.8224222697372889 relative_absolute_error 0.8754817710106623 relative_absolute_error 0.8688493333514906 relative_absolute_error 0.8604064880438683 relative_absolute_error 0.8802620223833422 relative_absolute_error 0.8206954193649206 relative_absolute_error 0.9133545796157985 relative_absolute_error 0.8469220004619362 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 0.43475394076533536 root_mean_squared_error 0.4341802833034054 root_mean_squared_error 0.4273423711839616 root_mean_squared_error 0.44091216201157335 root_mean_squared_error 0.4392388650377449 root_mean_squared_error 0.43755916915266746 root_mean_squared_error 0.44257913265290033 root_mean_squared_error 0.4273423711839616 root_mean_squared_error 0.4508215377620746 root_mean_squared_error 0.4341802833034054 root_relative_squared_error 1.3040869648405582 root_relative_squared_error 1.3029246967194377 root_relative_squared_error 1.2835896077100903 root_relative_squared_error 1.3243485954904621 root_relative_squared_error 1.3193225864844549 root_relative_squared_error 1.3115160364415694 root_relative_squared_error 1.32656260179102 root_relative_squared_error 1.2808927623298887 root_relative_squared_error 1.351267938215494 root_relative_squared_error 1.3010084210012616 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 178.94318600156112 usercpu_time_millis 174.77792700083228 usercpu_time_millis 167.72437899635406 usercpu_time_millis 175.54651200043736 usercpu_time_millis 171.61732599925017 usercpu_time_millis 172.11424399283715 usercpu_time_millis 169.12659099762095 usercpu_time_millis 170.19778499525273 usercpu_time_millis 169.69474300276488 usercpu_time_millis 172.22521599614993 usercpu_time_millis_testing 14.685854002891574 usercpu_time_millis_testing 14.75870500144083 usercpu_time_millis_testing 14.476541997282766 usercpu_time_millis_testing 14.671035998617299 usercpu_time_millis_testing 14.747146997251548 usercpu_time_millis_testing 14.67887099715881 usercpu_time_millis_testing 14.341387002787087 usercpu_time_millis_testing 14.890097998431884 usercpu_time_millis_testing 14.972313001635484 usercpu_time_millis_testing 14.8825959986425 usercpu_time_millis_training 164.25733199866954 usercpu_time_millis_training 160.01922199939145 usercpu_time_millis_training 153.2478369990713 usercpu_time_millis_training 160.87547600182006 usercpu_time_millis_training 156.87017900199862 usercpu_time_millis_training 157.43537299567834 usercpu_time_millis_training 154.78520399483386 usercpu_time_millis_training 155.30768699682085 usercpu_time_millis_training 154.7224300011294 usercpu_time_millis_training 157.34261999750743 wall_clock_time_millis 179.02541160583496 wall_clock_time_millis 174.90601539611816 wall_clock_time_millis 199.76305961608887 wall_clock_time_millis 175.57406425476074 wall_clock_time_millis 203.7208080291748 wall_clock_time_millis 172.17087745666504 wall_clock_time_millis 169.1758632659912 wall_clock_time_millis 170.2425479888916 wall_clock_time_millis 169.74520683288574 wall_clock_time_millis 172.2562313079834 wall_clock_time_millis_testing 14.697074890136719 wall_clock_time_millis_testing 14.769554138183594 wall_clock_time_millis_testing 14.488697052001953 wall_clock_time_millis_testing 14.681339263916016 wall_clock_time_millis_testing 30.7619571685791 wall_clock_time_millis_testing 14.690160751342773 wall_clock_time_millis_testing 14.35232162475586 wall_clock_time_millis_testing 14.904499053955078 wall_clock_time_millis_testing 14.985799789428711 wall_clock_time_millis_testing 14.896154403686523 wall_clock_time_millis_training 164.32833671569824 wall_clock_time_millis_training 160.13646125793457 wall_clock_time_millis_training 185.2743625640869 wall_clock_time_millis_training 160.89272499084473 wall_clock_time_millis_training 172.9588508605957 wall_clock_time_millis_training 157.48071670532227 wall_clock_time_millis_training 154.82354164123535 wall_clock_time_millis_training 155.33804893493652 wall_clock_time_millis_training 154.75940704345703 wall_clock_time_millis_training 157.36007690429688