10327821 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) 8183474 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 342.1500094579436 13389 cache_size 200 13389 class_weight null 13389 coef0 -0.11211673211000539 13389 decision_function_shape "ovr" 13389 degree 3 13389 gamma 0.0002439736664759569 13389 kernel "rbf" 13389 max_iter -1 13389 probability false 13389 random_state 4001 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 21577328 description https://api.openml.org/data/download/21577328/description.xml -1 21577329 predictions https://api.openml.org/data/download/21577329/predictions.arff area_under_roc_curve 0.8126642108185425 [0.759167,0.752159,0.958065,0.737412,0.739344,0.963405,0.914547] average_cost 0 f_measure 0.7232116957028882 [0.607059,0.608696,0.939198,0.657373,0.574545,0.917808,0.840731] kappa 0.6419549907355689 kb_relative_information_score 0.6811840675621791 mean_absolute_error 0.07904614705232968 mean_prior_absolute_error 0.2223438305942003 number_of_instances 1941 [402,55,391,673,158,72,190] precision 0.7274681011097099 [0.575893,0.756757,0.950262,0.649275,0.675214,0.905405,0.834197] predictive_accuracy 0.723338485316847 prior_entropy 2.4106995883230287 recall 0.723338485316847 [0.641791,0.509091,0.928389,0.665676,0.5,0.930556,0.847368] relative_absolute_error 0.35551311156726806 root_mean_prior_squared_error 0.3333637532267832 root_mean_squared_error 0.2811514663883681 root_relative_squared_error 0.843377432810172 total_cost 0 area_under_roc_curve 0.8359637275158815 [0.792762,0.697368,0.959274,0.775828,0.755556,0.9375,0.938846] area_under_roc_curve 0.7961919773557193 [0.710984,0.6,0.977502,0.700082,0.806882,0.997326,0.915338] area_under_roc_curve 0.8104914025535307 [0.748052,0.6,0.974359,0.759921,0.645014,0.997326,0.912481] area_under_roc_curve 0.7955994261467261 [0.773052,0.9,0.9134,0.707866,0.673455,0.928571,0.941654] area_under_roc_curve 0.8473583293191848 [0.813312,0.892063,0.97105,0.78268,0.713132,1,0.941654] area_under_roc_curve 0.8314170174043818 [0.794805,0.666667,0.945492,0.757492,0.917837,0.994652,0.854135] area_under_roc_curve 0.796709073893165 [0.759578,0.916667,0.945409,0.711893,0.653441,0.925898,0.90391] area_under_roc_curve 0.7942971932963185 [0.691558,0.664007,0.983954,0.718122,0.701896,1,0.933083] area_under_roc_curve 0.8135131936460657 [0.762825,0.906028,0.961538,0.72723,0.798455,0.854469,0.889023] area_under_roc_curve 0.8048318929006234 [0.744805,0.666667,0.948718,0.732225,0.727747,0.997312,0.915338] 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 0.7586621511469326 [0.666667,0.5,0.948718,0.705036,0.592593,0.933333,0.871795] f_measure 0.6988852120295419 [0.533333,0.333333,0.95,0.606061,0.714286,0.933333,0.864865] f_measure 0.7187554076051093 [0.6,0.333333,0.973684,0.689189,0.4,0.933333,0.842105] f_measure 0.7072316890496422 [0.634146,0.888889,0.88,0.625,0.444444,0.923077,0.894737] f_measure 0.7643348810906156 [0.674157,0.666667,0.926829,0.71875,0.56,1,0.894737] f_measure 0.740677709490556 [0.658824,0.5,0.933333,0.682171,0.756757,0.875,0.736842] f_measure 0.6904288265624671 [0.593407,0.909091,0.9,0.620155,0.454545,0.857143,0.780488] f_measure 0.691118499270864 [0.512821,0.444444,0.974359,0.633094,0.482759,1,0.829268] f_measure 0.7211464142428352 [0.6,0.666667,0.96,0.640625,0.645161,0.769231,0.833333] f_measure 0.7219718651213931 [0.592593,0.5,0.945946,0.653061,0.583333,0.941176,0.864865] kappa 0.6870625192064739 kappa 0.6130407868491643 kappa 0.6403260223178368 kappa 0.6158415841584159 kappa 0.7023525400613706 kappa 0.6712533044126618 kappa 0.6086837606837606 kappa 0.6063690762775982 kappa 0.6381333514210134 kappa 0.6351097178683386 kb_relative_information_score 0.7150472834382314 kb_relative_information_score 0.6602281381648136 kb_relative_information_score 0.6655287904188615 kb_relative_information_score 0.6649590817406237 kb_relative_information_score 0.7386207188056748 kb_relative_information_score 0.7084497506656731 kb_relative_information_score 0.6562394595713925 kb_relative_information_score 0.6474508188112148 kb_relative_information_score 0.6829715062306321 kb_relative_information_score 0.6723920139368245 mean_absolute_error 0.06886446886446893 mean_absolute_error 0.08541973490427107 mean_absolute_error 0.07805596465390288 mean_absolute_error 0.08394698085419744 mean_absolute_error 0.06627393225331374 mean_absolute_error 0.07363770250368196 mean_absolute_error 0.0868924889543447 mean_absolute_error 0.0868924889543447 mean_absolute_error 0.08100147275405016 mean_absolute_error 0.07952871870397651 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 0.7626953763857068 [0.651163,0.666667,0.973684,0.680556,0.666667,1,0.85] precision 0.7154946678838522 [0.489796,1,0.926829,0.615385,0.833333,0.875,0.888889] precision 0.7338344788087056 [0.6,1,1,0.6375,0.555556,0.875,0.842105] precision 0.7139295638346099 [0.619048,1,0.916667,0.592105,0.545455,1,0.894737] precision 0.7752053238781327 [0.612245,0.571429,0.883721,0.766667,0.777778,1,0.894737] precision 0.7549745039352622 [0.622222,1,0.972222,0.709677,0.666667,0.777778,0.736842] precision 0.7102973950019987 [0.529412,1,0.878049,0.645161,0.833333,0.857143,0.727273] precision 0.6922385506216218 [0.526316,0.666667,0.974359,0.611111,0.538462,1,0.772727] precision 0.733148588149135 [0.54,0.555556,1,0.672131,0.666667,0.833333,0.882353] precision 0.743718045427877 [0.585366,1,1,0.6,0.777778,0.888889,0.888889] predictive_accuracy 0.7589743589743589 predictive_accuracy 0.7010309278350516 predictive_accuracy 0.7268041237113403 predictive_accuracy 0.7061855670103092 predictive_accuracy 0.7680412371134021 predictive_accuracy 0.7422680412371134 predictive_accuracy 0.6958762886597938 predictive_accuracy 0.6958762886597938 predictive_accuracy 0.7164948453608246 predictive_accuracy 0.7216494845360825 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 0.7589743589743589 [0.682927,0.4,0.925,0.731343,0.533333,0.875,0.894737] recall 0.7010309278350515 [0.585366,0.2,0.974359,0.597015,0.625,1,0.842105] recall 0.7268041237113402 [0.6,0.2,0.948718,0.75,0.3125,1,0.842105] recall 0.7061855670103093 [0.65,0.8,0.846154,0.661765,0.375,0.857143,0.894737] recall 0.7680412371134021 [0.75,0.8,0.974359,0.676471,0.4375,1,0.894737] recall 0.7422680412371134 [0.7,0.333333,0.897436,0.656716,0.875,1,0.736842] recall 0.6958762886597938 [0.675,0.833333,0.923077,0.597015,0.3125,0.857143,0.842105] recall 0.6958762886597938 [0.5,0.333333,0.974359,0.656716,0.4375,1,0.894737] recall 0.7164948453608248 [0.675,0.833333,0.923077,0.61194,0.625,0.714286,0.789474] recall 0.7216494845360825 [0.6,0.333333,0.897436,0.716418,0.466667,1,0.842105] relative_absolute_error 0.30970736179094194 relative_absolute_error 0.38432677164015144 relative_absolute_error 0.3515191959361001 relative_absolute_error 0.3780489465727869 relative_absolute_error 0.29845969466272637 relative_absolute_error 0.3309255723245655 relative_absolute_error 0.39049217534298725 relative_absolute_error 0.39049217534298725 relative_absolute_error 0.36401812955702206 relative_absolute_error 0.35729521894488014 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 0.2624204048172873 root_mean_squared_error 0.29226654769964877 root_mean_squared_error 0.27938497571255133 root_mean_squared_error 0.2897360537699743 root_mean_squared_error 0.2574372394454884 root_mean_squared_error 0.2713626770646287 root_mean_squared_error 0.29477531944575125 root_mean_squared_error 0.29477531944575125 root_mean_squared_error 0.28460757676852205 root_mean_squared_error 0.28200836637230553 root_relative_squared_error 0.7871556693148514 root_relative_squared_error 0.8770580278899901 root_relative_squared_error 0.8391764438930177 root_relative_squared_error 0.8702675247664012 root_relative_squared_error 0.7732529874683413 root_relative_squared_error 0.8133677174476045 root_relative_squared_error 0.8835434973261889 root_relative_squared_error 0.8835434973261889 root_relative_squared_error 0.8530672588750075 root_relative_squared_error 0.8450297573434302 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 246.63555299775908 usercpu_time_millis 247.8372510013287 usercpu_time_millis 248.72634700295748 usercpu_time_millis 240.00462800177047 usercpu_time_millis 246.69321100373054 usercpu_time_millis 247.92127699765842 usercpu_time_millis 244.2888529985794 usercpu_time_millis 237.732084999152 usercpu_time_millis 236.49190099240514 usercpu_time_millis 237.10317401128123 usercpu_time_millis_testing 20.95105400076136 usercpu_time_millis_testing 20.723690999147948 usercpu_time_millis_testing 20.829179004067555 usercpu_time_millis_testing 20.329555998614524 usercpu_time_millis_testing 20.853130001341924 usercpu_time_millis_testing 20.93947299727006 usercpu_time_millis_testing 20.26703999581514 usercpu_time_millis_testing 20.649507001508027 usercpu_time_millis_testing 20.596933994966093 usercpu_time_millis_testing 20.594803005224094 usercpu_time_millis_training 225.68449899699772 usercpu_time_millis_training 227.11356000218075 usercpu_time_millis_training 227.89716799888993 usercpu_time_millis_training 219.67507200315595 usercpu_time_millis_training 225.84008100238862 usercpu_time_millis_training 226.98180400038837 usercpu_time_millis_training 224.02181300276425 usercpu_time_millis_training 217.08257799764397 usercpu_time_millis_training 215.89496699743904 usercpu_time_millis_training 216.50837100605713 wall_clock_time_millis 246.68288230895996 wall_clock_time_millis 247.87044525146484 wall_clock_time_millis 248.77429008483887 wall_clock_time_millis 240.11588096618652 wall_clock_time_millis 246.81758880615234 wall_clock_time_millis 247.9870319366455 wall_clock_time_millis 244.36521530151367 wall_clock_time_millis 237.76555061340332 wall_clock_time_millis 236.5562915802002 wall_clock_time_millis 237.13922500610352 wall_clock_time_millis_testing 20.963668823242188 wall_clock_time_millis_testing 20.735502243041992 wall_clock_time_millis_testing 20.840883255004883 wall_clock_time_millis_testing 20.34306526184082 wall_clock_time_millis_testing 20.865440368652344 wall_clock_time_millis_testing 20.952701568603516 wall_clock_time_millis_testing 20.28036117553711 wall_clock_time_millis_testing 20.662546157836914 wall_clock_time_millis_testing 20.611047744750977 wall_clock_time_millis_testing 20.60842514038086 wall_clock_time_millis_training 225.71921348571777 wall_clock_time_millis_training 227.13494300842285 wall_clock_time_millis_training 227.93340682983398 wall_clock_time_millis_training 219.7728157043457 wall_clock_time_millis_training 225.9521484375 wall_clock_time_millis_training 227.034330368042 wall_clock_time_millis_training 224.08485412597656 wall_clock_time_millis_training 217.1030044555664 wall_clock_time_millis_training 215.94524383544922 wall_clock_time_millis_training 216.53079986572266