10327748 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) 8183401 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 17.978489384973518 13389 cache_size 200 13389 class_weight null 13389 coef0 0.0 13389 decision_function_shape "ovr" 13389 degree 3 13389 gamma 0.023363824959116333 13389 kernel "rbf" 13389 max_iter -1 13389 probability false 13389 random_state 53719 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 21577182 description https://api.openml.org/data/download/21577182/description.xml -1 21577183 predictions https://api.openml.org/data/download/21577183/predictions.arff area_under_roc_curve 0.8458960622308265 [0.802013,0.897349,0.972143,0.779114,0.770789,0.956996,0.920952] average_cost 0 f_measure 0.7697126425774222 [0.676259,0.807339,0.957638,0.71151,0.604027,0.923077,0.855643] kappa 0.7036865896740243 kb_relative_information_score 0.7399338070585892 mean_absolute_error 0.0657981894457944 mean_prior_absolute_error 0.2223438305942003 number_of_instances 1941 [402,55,391,673,158,72,190] precision 0.7704736840723173 [0.652778,0.814815,0.96134,0.715789,0.642857,0.929577,0.853403] predictive_accuracy 0.7697063369397218 prior_entropy 2.4106995883230287 recall 0.7697063369397218 [0.701493,0.8,0.953964,0.707281,0.56962,0.916667,0.857895] relative_absolute_error 0.2959299085113032 root_mean_prior_squared_error 0.3333637532267832 root_mean_squared_error 0.2565115776057572 root_relative_squared_error 0.7694645117318906 total_cost 0 area_under_roc_curve 0.8630821903702316 [0.841543,0.997368,0.965323,0.792502,0.813889,0.9375,0.915371] area_under_roc_curve 0.8334613523810461 [0.754982,0.9,0.983954,0.757081,0.832514,0.925898,0.912481] area_under_roc_curve 0.87057266079738 [0.807792,1,0.987179,0.822246,0.735955,1,0.96797] area_under_roc_curve 0.8170600148780648 [0.767045,0.994709,0.942266,0.735061,0.733146,0.928571,0.941654] area_under_roc_curve 0.8727292497281626 [0.889286,0.9,0.983954,0.82563,0.642205,1,0.918195] area_under_roc_curve 0.8526199361602916 [0.811039,0.74734,0.974359,0.783406,0.858146,0.997326,0.909624] area_under_roc_curve 0.8120944752688555 [0.738312,0.833333,0.95823,0.760195,0.713132,0.923224,0.886165] area_under_roc_curve 0.8230941804714983 [0.754545,0.914007,0.980728,0.723293,0.761587,1,0.953684] area_under_roc_curve 0.859425690018659 [0.832305,0.906028,0.983954,0.810142,0.809691,0.857143,0.862707] area_under_roc_curve 0.8544447172166161 [0.823052,0.830674,0.961538,0.780291,0.81378,0.997312,0.941654] 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 0.7902012029789807 [0.727273,0.909091,0.938272,0.730159,0.625,0.933333,0.864865] f_measure 0.7539783454142199 [0.604651,0.888889,0.974359,0.681818,0.709677,0.857143,0.842105] f_measure 0.8079678313633502 [0.691358,1,0.987013,0.768116,0.551724,1,0.923077] f_measure 0.7323956756445064 [0.632911,0.833333,0.921053,0.657143,0.533333,0.923077,0.894737] f_measure 0.8089913522903213 [0.8,0.888889,0.974359,0.771429,0.384615,1,0.888889] f_measure 0.7783034988693921 [0.7,0.6,0.973684,0.716418,0.705882,0.933333,0.820513] f_measure 0.7190637529650774 [0.578313,0.8,0.91358,0.686131,0.56,0.8,0.810811] f_measure 0.7281905865434691 [0.615385,0.833333,0.962025,0.635659,0.5625,1,0.818182] f_measure 0.7909430062712753 [0.704545,0.666667,0.974359,0.75188,0.740741,0.833333,0.8] f_measure 0.7804019103554762 [0.697674,0.727273,0.96,0.713178,0.625,0.941176,0.894737] kappa 0.7319093286835222 kappa 0.6815865959993161 kappa 0.7532655025436547 kappa 0.6530352536543421 kappa 0.7580628399210171 kappa 0.7158332197847118 kappa 0.6390324581352077 kappa 0.6590279186101533 kappa 0.7276400493083138 kappa 0.7174119241192412 kb_relative_information_score 0.7706144775873746 kb_relative_information_score 0.7253554700424644 kb_relative_information_score 0.7862902591376018 kb_relative_information_score 0.702441398242338 kb_relative_information_score 0.7742924517352949 kb_relative_information_score 0.7479612757704642 kb_relative_information_score 0.674646731120222 kb_relative_information_score 0.7123846543227029 kb_relative_information_score 0.7501193707186289 kb_relative_information_score 0.755398669403272 mean_absolute_error 0.0600732600732601 mean_absolute_error 0.07069219440353466 mean_absolute_error 0.05449189985272461 mean_absolute_error 0.07658321060382924 mean_absolute_error 0.05301914580265097 mean_absolute_error 0.06332842415316646 mean_absolute_error 0.07952871870397651 mean_absolute_error 0.07658321060382924 mean_absolute_error 0.06038291605301918 mean_absolute_error 0.06332842415316646 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 0.7954073715468825 [0.680851,0.833333,0.926829,0.779661,0.588235,1,0.888889] precision 0.7567362763239052 [0.577778,1,0.974359,0.692308,0.733333,0.857143,0.842105] precision 0.8079842335185559 [0.682927,1,1,0.757143,0.615385,1,0.9] precision 0.7355239571734417 [0.641026,0.714286,0.945946,0.638889,0.571429,1,0.894737] precision 0.8098173977494778 [0.755556,1,0.974359,0.75,0.5,1,0.941176] precision 0.7808848797250858 [0.7,0.75,1,0.716418,0.666667,0.875,0.8] precision 0.7278155480205348 [0.55814,1,0.880952,0.671429,0.777778,0.75,0.833333] precision 0.7283485026167014 [0.631579,0.833333,0.95,0.66129,0.5625,1,0.72] precision 0.8046118400499844 [0.645833,0.555556,0.974359,0.757576,0.909091,1,0.875] precision 0.7862436828039681 [0.652174,0.8,1,0.741935,0.588235,0.888889,0.894737] predictive_accuracy 0.7897435897435898 predictive_accuracy 0.7525773195876289 predictive_accuracy 0.8092783505154639 predictive_accuracy 0.7319587628865979 predictive_accuracy 0.8144329896907216 predictive_accuracy 0.7783505154639175 predictive_accuracy 0.7216494845360825 predictive_accuracy 0.7319587628865979 predictive_accuracy 0.788659793814433 predictive_accuracy 0.7783505154639175 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 0.7897435897435897 [0.780488,1,0.95,0.686567,0.666667,0.875,0.842105] recall 0.7525773195876289 [0.634146,0.8,0.974359,0.671642,0.6875,0.857143,0.842105] recall 0.8092783505154639 [0.7,1,0.974359,0.779412,0.5,1,0.947368] recall 0.7319587628865979 [0.625,1,0.897436,0.676471,0.5,0.857143,0.894737] recall 0.8144329896907216 [0.85,0.8,0.974359,0.794118,0.3125,1,0.842105] recall 0.7783505154639175 [0.7,0.5,0.948718,0.716418,0.75,1,0.842105] recall 0.7216494845360825 [0.6,0.666667,0.948718,0.701493,0.4375,0.857143,0.789474] recall 0.7319587628865979 [0.6,0.833333,0.974359,0.61194,0.5625,1,0.947368] recall 0.788659793814433 [0.775,0.833333,0.974359,0.746269,0.625,0.714286,0.736842] recall 0.7783505154639175 [0.75,0.666667,0.923077,0.686567,0.666667,1,0.894737] relative_absolute_error 0.27017025177507686 relative_absolute_error 0.3180635351504701 relative_absolute_error 0.2454001933893527 relative_absolute_error 0.3448867582769284 relative_absolute_error 0.238767755730181 relative_absolute_error 0.28459599219912624 relative_absolute_error 0.3573996181105308 relative_absolute_error 0.3441625952175481 relative_absolute_error 0.27135896930614356 relative_absolute_error 0.28451285953018224 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 0.2450984701569149 root_mean_squared_error 0.26588003761759677 root_mean_squared_error 0.23343500134453832 root_mean_squared_error 0.2767367171226638 root_mean_squared_error 0.2302588669360009 root_mean_squared_error 0.25165139410137677 root_mean_squared_error 0.28200836637230553 root_mean_squared_error 0.2767367171226638 root_mean_squared_error 0.24572935529362214 root_mean_squared_error 0.25165139410137677 root_relative_squared_error 0.7351968321927644 root_relative_squared_error 0.7978751700582873 root_relative_squared_error 0.7011585136561479 root_relative_squared_error 0.8312219852815516 root_relative_squared_error 0.6916184975136014 root_relative_squared_error 0.7542861908161227 root_relative_squared_error 0.8452765271133467 root_relative_squared_error 0.8294755725983517 root_relative_squared_error 0.736535794041579 root_relative_squared_error 0.7540659847370605 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 233.77140699449228 usercpu_time_millis 233.04622100113193 usercpu_time_millis 234.45385199738666 usercpu_time_millis 230.86440999031765 usercpu_time_millis 235.65557000256376 usercpu_time_millis 230.07125900039682 usercpu_time_millis 238.37488899880555 usercpu_time_millis 233.54287200345425 usercpu_time_millis 232.70491899893386 usercpu_time_millis 230.27256799832685 usercpu_time_millis_testing 18.795794996549375 usercpu_time_millis_testing 18.275504000484943 usercpu_time_millis_testing 18.61115799692925 usercpu_time_millis_testing 18.197592995420564 usercpu_time_millis_testing 18.391331999737304 usercpu_time_millis_testing 18.356590997427702 usercpu_time_millis_testing 18.18535300117219 usercpu_time_millis_testing 18.40803600498475 usercpu_time_millis_testing 18.626452001626603 usercpu_time_millis_testing 18.454780998581555 usercpu_time_millis_training 214.9756119979429 usercpu_time_millis_training 214.77071700064698 usercpu_time_millis_training 215.8426940004574 usercpu_time_millis_training 212.6668169948971 usercpu_time_millis_training 217.26423800282646 usercpu_time_millis_training 211.71466800296912 usercpu_time_millis_training 220.18953599763336 usercpu_time_millis_training 215.1348359984695 usercpu_time_millis_training 214.07846699730726 usercpu_time_millis_training 211.8177869997453 wall_clock_time_millis 233.94131660461426 wall_clock_time_millis 233.1106662750244 wall_clock_time_millis 234.55476760864258 wall_clock_time_millis 230.9093475341797 wall_clock_time_millis 235.6884479522705 wall_clock_time_millis 230.1478385925293 wall_clock_time_millis 238.41047286987305 wall_clock_time_millis 261.59095764160156 wall_clock_time_millis 312.77012825012207 wall_clock_time_millis 370.375394821167 wall_clock_time_millis_testing 18.810510635375977 wall_clock_time_millis_testing 18.288135528564453 wall_clock_time_millis_testing 18.6307430267334 wall_clock_time_millis_testing 18.210411071777344 wall_clock_time_millis_testing 18.404483795166016 wall_clock_time_millis_testing 18.370389938354492 wall_clock_time_millis_testing 18.198251724243164 wall_clock_time_millis_testing 18.421173095703125 wall_clock_time_millis_testing 34.639835357666016 wall_clock_time_millis_testing 34.46817398071289 wall_clock_time_millis_training 215.13080596923828 wall_clock_time_millis_training 214.82253074645996 wall_clock_time_millis_training 215.92402458190918 wall_clock_time_millis_training 212.69893646240234 wall_clock_time_millis_training 217.2839641571045 wall_clock_time_millis_training 211.7774486541748 wall_clock_time_millis_training 220.21222114562988 wall_clock_time_millis_training 243.16978454589844 wall_clock_time_millis_training 278.13029289245605 wall_clock_time_millis_training 335.9072208404541