10327844 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) 8183497 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 4312.765643162175 13389 cache_size 200 13389 class_weight null 13389 coef0 -0.8431309599755139 13389 decision_function_shape "ovr" 13389 degree 2 13389 gamma 0.1340521523606873 13389 kernel "rbf" 13389 max_iter -1 13389 probability false 13389 random_state 17862 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 21577374 description https://api.openml.org/data/download/21577374/description.xml -1 21577375 predictions https://api.openml.org/data/download/21577375/predictions.arff area_under_roc_curve 0.8396128257363075 [0.797038,0.897349,0.967662,0.779188,0.745192,0.949249,0.90047] average_cost 0 f_measure 0.7607861998307869 [0.66988,0.807339,0.951157,0.71134,0.563574,0.896552,0.83558] kappa 0.6915114474427405 kb_relative_information_score 0.7258236207071017 mean_absolute_error 0.06830058143813994 mean_prior_absolute_error 0.2223438305942003 number_of_instances 1941 [402,55,391,673,158,72,190] precision 0.7617311927257706 [0.649533,0.814815,0.956072,0.705109,0.616541,0.890411,0.856354] predictive_accuracy 0.7609479649665122 prior_entropy 2.4106995883230287 recall 0.7609479649665121 [0.691542,0.8,0.946292,0.717682,0.518987,0.902778,0.815789] relative_absolute_error 0.3071845135329854 root_mean_prior_squared_error 0.3333637532267832 root_mean_squared_error 0.261343799310678 root_relative_squared_error 0.7839598540063506 total_cost 0 area_under_roc_curve 0.8437350535888843 [0.799256,1,0.952823,0.78364,0.75,0.9375,0.915371] area_under_roc_curve 0.8126495213964661 [0.730591,0.897354,0.964682,0.74527,0.733146,0.997326,0.89188] area_under_roc_curve 0.8914384616631809 [0.861039,1,0.987179,0.856209,0.704705,1,0.973684] area_under_roc_curve 0.8399845518475457 [0.820292,0.997354,0.942266,0.762255,0.792837,0.928571,0.915338] area_under_roc_curve 0.833663989347208 [0.841558,0.9,0.955087,0.758287,0.647823,1,0.915338] area_under_roc_curve 0.8327356965935258 [0.817045,0.661348,0.974359,0.768069,0.764396,0.997326,0.854135] area_under_roc_curve 0.8122169092215885 [0.725812,0.916667,0.967907,0.763721,0.676264,0.923224,0.886165] area_under_roc_curve 0.8336454806501599 [0.724026,0.916667,0.967907,0.771183,0.801264,0.994652,0.950827] area_under_roc_curve 0.8322775597615053 [0.787825,0.989362,0.993548,0.791691,0.767205,0.714286,0.786617] area_under_roc_curve 0.863754514792429 [0.864286,0.744681,0.971133,0.79128,0.819367,0.994624,0.915338] 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 0.7697536844478703 [0.682927,1,0.925,0.715328,0.551724,0.933333,0.864865] f_measure 0.7215426011197902 [0.571429,0.8,0.936709,0.666667,0.533333,0.933333,0.857143] f_measure 0.838374171408685 [0.761905,1,0.987013,0.811594,0.5,1,0.972973] f_measure 0.7646913953340382 [0.707317,0.909091,0.921053,0.691176,0.606061,0.923077,0.864865] f_measure 0.7531569833097411 [0.711111,0.888889,0.935065,0.686131,0.416667,1,0.864865] f_measure 0.7463969031199604 [0.698795,0.4,0.973684,0.696296,0.580645,0.933333,0.736842] f_measure 0.7193658346895575 [0.560976,0.909091,0.948718,0.690647,0.461538,0.8,0.810811] f_measure 0.7467815664222578 [0.588235,0.909091,0.948718,0.7,0.666667,0.875,0.8] f_measure 0.7414843695796203 [0.630435,0.75,0.975,0.728682,0.6,0.6,0.709677] f_measure 0.7931311160723655 [0.771084,0.545455,0.961039,0.727273,0.666667,0.888889,0.864865] kappa 0.7017436524931172 kappa 0.6405928365582544 kappa 0.792806449390202 kappa 0.6944149573673937 kappa 0.684749161566919 kappa 0.6748529210562321 kappa 0.6390448954277642 kappa 0.6821083535315604 kappa 0.6686026648445508 kappa 0.7360723760288416 kb_relative_information_score 0.7405707849979041 kb_relative_information_score 0.6872401221608841 kb_relative_information_score 0.8144820555517369 kb_relative_information_score 0.7379935441842137 kb_relative_information_score 0.7195231063259852 kb_relative_information_score 0.6991228752612102 kb_relative_information_score 0.6766953936412592 kb_relative_information_score 0.7290563548146076 kb_relative_information_score 0.6911386563205622 kb_relative_information_score 0.7627953603866959 mean_absolute_error 0.06593406593406598 mean_absolute_error 0.07952871870397651 mean_absolute_error 0.04565537555228276 mean_absolute_error 0.06774668630338739 mean_absolute_error 0.06921944035346103 mean_absolute_error 0.07216494845360831 mean_absolute_error 0.07952871870397651 mean_absolute_error 0.07069219440353466 mean_absolute_error 0.07363770250368196 mean_absolute_error 0.058910162002945535 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 0.7710785510785512 [0.682927,1,0.925,0.7,0.571429,1,0.888889] precision 0.7235943988000378 [0.55814,0.8,0.925,0.661765,0.571429,0.875,0.9375] precision 0.839300218681662 [0.727273,1,1,0.8,0.583333,1,1] precision 0.7679291740844196 [0.690476,0.833333,0.945946,0.691176,0.588235,1,0.888889] precision 0.7616242159260395 [0.64,1,0.947368,0.681159,0.625,1,0.888889] precision 0.7474771531724653 [0.674419,0.5,1,0.691176,0.6,0.875,0.736842] precision 0.7229626902307315 [0.547619,1,0.948718,0.666667,0.6,0.75,0.833333] precision 0.7555200687526631 [0.714286,1,0.948718,0.671233,0.714286,0.777778,0.692308] precision 0.7654533856511762 [0.557692,0.6,0.95122,0.758065,0.642857,1,0.916667] precision 0.7943656599835227 [0.744186,0.6,0.973684,0.738462,0.666667,0.8,0.888889] predictive_accuracy 0.7692307692307692 predictive_accuracy 0.7216494845360825 predictive_accuracy 0.8402061855670104 predictive_accuracy 0.7628865979381443 predictive_accuracy 0.7577319587628866 predictive_accuracy 0.7474226804123711 predictive_accuracy 0.7216494845360825 predictive_accuracy 0.7525773195876289 predictive_accuracy 0.7422680412371134 predictive_accuracy 0.7938144329896908 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 0.7692307692307693 [0.682927,1,0.925,0.731343,0.533333,0.875,0.842105] recall 0.7216494845360825 [0.585366,0.8,0.948718,0.671642,0.5,1,0.789474] recall 0.8402061855670103 [0.8,1,0.974359,0.823529,0.4375,1,0.947368] recall 0.7628865979381443 [0.725,1,0.897436,0.691176,0.625,0.857143,0.842105] recall 0.7577319587628866 [0.8,0.8,0.923077,0.691176,0.3125,1,0.842105] recall 0.7474226804123711 [0.725,0.333333,0.948718,0.701493,0.5625,1,0.736842] recall 0.7216494845360825 [0.575,0.833333,0.948718,0.716418,0.375,0.857143,0.789474] recall 0.7525773195876289 [0.5,0.833333,0.948718,0.731343,0.625,1,0.947368] recall 0.7422680412371134 [0.725,1,1,0.701493,0.5625,0.428571,0.578947] recall 0.7938144329896907 [0.8,0.5,0.948718,0.716418,0.666667,1,0.842105] relative_absolute_error 0.29652832511898686 relative_absolute_error 0.3578214770442789 relative_absolute_error 0.20560556743432243 relative_absolute_error 0.30509213232189814 relative_absolute_error 0.3117245699810698 relative_absolute_error 0.32430706087807415 relative_absolute_error 0.3573996181105308 relative_absolute_error 0.31768854943158276 relative_absolute_error 0.3309255723245655 relative_absolute_error 0.2646631251443555 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 0.25677629550654785 root_mean_squared_error 0.28200836637230553 root_mean_squared_error 0.21367118559198092 root_mean_squared_error 0.2602819361834151 root_mean_squared_error 0.2630958767321545 root_mean_squared_error 0.2686353447586678 root_mean_squared_error 0.28200836637230553 root_mean_squared_error 0.26588003761759677 root_mean_squared_error 0.2713626770646287 root_mean_squared_error 0.24271415698913307 root_relative_squared_error 0.7702256114358742 root_relative_squared_error 0.846274414932877 root_relative_squared_error 0.6417948038550456 root_relative_squared_error 0.7817974787617581 root_relative_squared_error 0.7902495890335969 root_relative_squared_error 0.8051929600475948 root_relative_squared_error 0.8452765271133467 root_relative_squared_error 0.7969343523995494 root_relative_squared_error 0.8133677174476045 root_relative_squared_error 0.727285817164622 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 362.24616500840057 usercpu_time_millis 362.5386630083085 usercpu_time_millis 365.68212600104744 usercpu_time_millis 357.2446129983291 usercpu_time_millis 361.91895600495627 usercpu_time_millis 352.7903139984119 usercpu_time_millis 352.5481239994406 usercpu_time_millis 360.9216260010726 usercpu_time_millis 356.8513330028509 usercpu_time_millis 384.2611920044874 usercpu_time_millis_testing 22.43337200343376 usercpu_time_millis_testing 22.413324004446622 usercpu_time_millis_testing 22.580374003155157 usercpu_time_millis_testing 22.63184799812734 usercpu_time_millis_testing 22.630022001976613 usercpu_time_millis_testing 22.596349997911602 usercpu_time_millis_testing 22.476049001852516 usercpu_time_millis_testing 22.63868899899535 usercpu_time_millis_testing 22.126244999526534 usercpu_time_millis_testing 24.200107000069693 usercpu_time_millis_training 339.8127930049668 usercpu_time_millis_training 340.1253390038619 usercpu_time_millis_training 343.1017519978923 usercpu_time_millis_training 334.61276500020176 usercpu_time_millis_training 339.28893400297966 usercpu_time_millis_training 330.1939640005003 usercpu_time_millis_training 330.07207499758806 usercpu_time_millis_training 338.28293700207723 usercpu_time_millis_training 334.72508800332434 usercpu_time_millis_training 360.0610850044177 wall_clock_time_millis 470.29924392700195 wall_clock_time_millis 486.5713119506836 wall_clock_time_millis 377.8197765350342 wall_clock_time_millis 357.36942291259766 wall_clock_time_millis 393.95761489868164 wall_clock_time_millis 488.844633102417 wall_clock_time_millis 368.61276626586914 wall_clock_time_millis 432.97529220581055 wall_clock_time_millis 356.89377784729004 wall_clock_time_millis 384.305477142334 wall_clock_time_millis_testing 22.44710922241211 wall_clock_time_millis_testing 22.426128387451172 wall_clock_time_millis_testing 22.65143394470215 wall_clock_time_millis_testing 22.642850875854492 wall_clock_time_millis_testing 22.6438045501709 wall_clock_time_millis_testing 22.609233856201172 wall_clock_time_millis_testing 38.48743438720703 wall_clock_time_millis_testing 22.65334129333496 wall_clock_time_millis_testing 22.139787673950195 wall_clock_time_millis_testing 24.214506149291992 wall_clock_time_millis_training 447.85213470458984 wall_clock_time_millis_training 464.1451835632324 wall_clock_time_millis_training 355.16834259033203 wall_clock_time_millis_training 334.72657203674316 wall_clock_time_millis_training 371.31381034851074 wall_clock_time_millis_training 466.2353992462158 wall_clock_time_millis_training 330.1253318786621 wall_clock_time_millis_training 410.3219509124756 wall_clock_time_millis_training 334.75399017333984 wall_clock_time_millis_training 360.090970993042