10327774 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) 8183427 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 696.7376145562746 13389 cache_size 200 13389 class_weight null 13389 coef0 -0.5281207174959481 13389 decision_function_shape "ovr" 13389 degree 1 13389 gamma 0.0001473666628496018 13389 kernel "poly" 13389 max_iter -1 13389 probability false 13389 random_state 43049 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 21577234 description https://api.openml.org/data/download/21577234/description.xml -1 21577235 predictions https://api.openml.org/data/download/21577235/predictions.arff area_under_roc_curve 0.8071313822294899 [0.754304,0.688523,0.955819,0.732846,0.721759,0.963405,0.922156] average_cost 0 f_measure 0.7152349450204841 [0.602871,0.494118,0.934194,0.652268,0.55303,0.917808,0.847545] kappa 0.6325289799972068 kb_relative_information_score 0.6692952779379869 mean_absolute_error 0.08081254139986771 mean_prior_absolute_error 0.2223438305942003 number_of_instances 1941 [402,55,391,673,158,72,190] precision 0.7204977355414046 [0.580645,0.7,0.942708,0.632682,0.688679,0.905405,0.832487] predictive_accuracy 0.7171561051004638 prior_entropy 2.4106995883230287 recall 0.7171561051004637 [0.626866,0.381818,0.925831,0.673105,0.462025,0.930556,0.863158] relative_absolute_error 0.36345753864139674 root_mean_prior_squared_error 0.3333637532267832 root_mean_squared_error 0.28427546746046817 root_relative_squared_error 0.8527485808185005 total_cost 0 area_under_roc_curve 0.8348562020887997 [0.808204,0.597368,0.956048,0.771922,0.758333,0.9375,0.938846] area_under_roc_curve 0.8041081605083471 [0.738642,0.6,0.974276,0.707956,0.806882,0.997326,0.915338] area_under_roc_curve 0.8078891359063203 [0.742045,0.6,0.961538,0.762722,0.647823,0.997326,0.912481] area_under_roc_curve 0.7649645055118052 [0.723052,0.6,0.9134,0.680089,0.642205,0.928571,0.938797] area_under_roc_curve 0.8347320666929221 [0.804058,0.692063,0.97105,0.77416,0.681882,1,0.941654] area_under_roc_curve 0.8379314706930286 [0.804545,0.666667,0.942266,0.772417,0.917837,0.994652,0.854135] area_under_roc_curve 0.7895253127723961 [0.756331,0.833333,0.945409,0.693031,0.653441,0.925898,0.930226] area_under_roc_curve 0.7964159274331011 [0.694805,0.664007,0.983954,0.721648,0.673455,1,0.959398] area_under_roc_curve 0.7948188693027984 [0.728571,0.906028,0.948718,0.714596,0.710323,0.854469,0.915338] area_under_roc_curve 0.805522147527886 [0.741558,0.666667,0.961538,0.728699,0.727747,0.997312,0.915338] 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 0.7557332724616075 [0.690476,0.285714,0.936709,0.7,0.615385,0.933333,0.871795] f_measure 0.7077986449120469 [0.571429,0.333333,0.938272,0.615385,0.714286,0.933333,0.864865] f_measure 0.7181127921334106 [0.597403,0.333333,0.96,0.69281,0.416667,0.933333,0.842105] f_measure 0.6611343182204109 [0.564103,0.333333,0.88,0.596026,0.384615,0.923077,0.871795] f_measure 0.7467688582784595 [0.666667,0.4,0.926829,0.706767,0.5,1,0.894737] f_measure 0.7501271599222814 [0.682927,0.5,0.921053,0.70229,0.756757,0.875,0.736842] f_measure 0.6794494356868291 [0.586957,0.8,0.9,0.59375,0.454545,0.857143,0.809524] f_measure 0.6938591252037184 [0.519481,0.444444,0.974359,0.638298,0.444444,1,0.857143] f_measure 0.6995273189703975 [0.55814,0.666667,0.945946,0.627737,0.538462,0.769231,0.864865] f_measure 0.721654438670621 [0.585366,0.5,0.96,0.648276,0.583333,0.941176,0.864865] kappa 0.6861301369863013 kappa 0.6270767540848552 kappa 0.6382379846597707 kappa 0.5572486921105297 kappa 0.6799560076986527 kappa 0.6838352629613282 kappa 0.5956123564789503 kappa 0.6119598579163361 kappa 0.6072470232989053 kappa 0.6358074048322614 kb_relative_information_score 0.709607645592148 kb_relative_information_score 0.671413012570152 kb_relative_information_score 0.6634727031164157 kb_relative_information_score 0.6012550495787032 kb_relative_information_score 0.7074157464178461 kb_relative_information_score 0.7175896744400753 kb_relative_information_score 0.6435539147676235 kb_relative_information_score 0.6515123537841916 kb_relative_information_score 0.653370206058079 kb_relative_information_score 0.6734413259441634 mean_absolute_error 0.06886446886446893 mean_absolute_error 0.0824742268041238 mean_absolute_error 0.07805596465390288 mean_absolute_error 0.0957290132547865 mean_absolute_error 0.07069219440353466 mean_absolute_error 0.07069219440353466 mean_absolute_error 0.08983799705449197 mean_absolute_error 0.08541973490427107 mean_absolute_error 0.0868924889543447 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 0.7596490994268337 [0.674419,0.5,0.948718,0.671233,0.727273,1,0.85] precision 0.7241887579774178 [0.52,1,0.904762,0.634921,0.833333,0.875,0.888889] precision 0.7391230147673448 [0.621622,1,1,0.623529,0.625,0.875,0.842105] precision 0.6800276526616504 [0.578947,1,0.916667,0.542169,0.5,1,0.85] precision 0.754202052124383 [0.617021,0.4,0.883721,0.723077,0.75,1,0.894737] precision 0.7619892766477818 [0.666667,1,0.945946,0.71875,0.666667,0.777778,0.736842] precision 0.7016889160850043 [0.519231,1,0.878049,0.622951,0.833333,0.857143,0.73913] precision 0.6956788804614892 [0.540541,0.666667,0.974359,0.608108,0.545455,1,0.782609] precision 0.7127951733509779 [0.521739,0.555556,1,0.614286,0.7,0.833333,0.888889] precision 0.7417299195649711 [0.571429,1,1,0.602564,0.777778,0.888889,0.888889] predictive_accuracy 0.7589743589743589 predictive_accuracy 0.711340206185567 predictive_accuracy 0.7268041237113403 predictive_accuracy 0.6649484536082474 predictive_accuracy 0.7525773195876289 predictive_accuracy 0.7525773195876289 predictive_accuracy 0.6855670103092784 predictive_accuracy 0.7010309278350516 predictive_accuracy 0.6958762886597938 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 [0.707317,0.2,0.925,0.731343,0.533333,0.875,0.894737] recall 0.711340206185567 [0.634146,0.2,0.974359,0.597015,0.625,1,0.842105] recall 0.7268041237113402 [0.575,0.2,0.923077,0.779412,0.3125,1,0.842105] recall 0.6649484536082474 [0.55,0.2,0.846154,0.661765,0.3125,0.857143,0.894737] recall 0.7525773195876289 [0.725,0.4,0.974359,0.691176,0.375,1,0.894737] recall 0.7525773195876289 [0.7,0.333333,0.897436,0.686567,0.875,1,0.736842] recall 0.6855670103092784 [0.675,0.666667,0.923077,0.567164,0.3125,0.857143,0.894737] recall 0.7010309278350515 [0.5,0.333333,0.974359,0.671642,0.375,1,0.947368] recall 0.6958762886597938 [0.6,0.833333,0.897436,0.641791,0.4375,0.714286,0.842105] recall 0.7216494845360825 [0.6,0.333333,0.923077,0.701493,0.466667,1,0.842105] relative_absolute_error 0.30970736179094194 relative_absolute_error 0.3710741243422152 relative_absolute_error 0.3515191959361001 relative_absolute_error 0.43110844784616026 relative_absolute_error 0.3183570076402415 relative_absolute_error 0.31768854943158276 relative_absolute_error 0.4037291982359698 relative_absolute_error 0.383873663896496 relative_absolute_error 0.39049217534298725 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 0.28718326344709544 root_mean_squared_error 0.27938497571255133 root_mean_squared_error 0.30940105567820303 root_mean_squared_error 0.26588003761759677 root_mean_squared_error 0.26588003761759677 root_mean_squared_error 0.2997298734769225 root_mean_squared_error 0.29226654769964877 root_mean_squared_error 0.29477531944575125 root_mean_squared_error 0.28200836637230553 root_relative_squared_error 0.7871556693148514 root_relative_squared_error 0.8618036811409727 root_relative_squared_error 0.8391764438930177 root_relative_squared_error 0.9293344317409392 root_relative_squared_error 0.7986122514320049 root_relative_squared_error 0.7969343523995494 root_relative_squared_error 0.8983940078934353 root_relative_squared_error 0.8760238414516323 root_relative_squared_error 0.8835434973261889 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 168.3565709972754 usercpu_time_millis 170.3508300051908 usercpu_time_millis 169.67158999614185 usercpu_time_millis 160.606256002211 usercpu_time_millis 162.30325399374124 usercpu_time_millis 161.786693999602 usercpu_time_millis 155.48263800155837 usercpu_time_millis 158.88755000196397 usercpu_time_millis 163.45607100083726 usercpu_time_millis 168.2787539975834 usercpu_time_millis_testing 13.18287500180304 usercpu_time_millis_testing 13.018657999054994 usercpu_time_millis_testing 12.969144998351112 usercpu_time_millis_testing 12.798716998076998 usercpu_time_millis_testing 12.698108999757096 usercpu_time_millis_testing 12.834146000386681 usercpu_time_millis_testing 12.509820000559557 usercpu_time_millis_testing 12.56430899957195 usercpu_time_millis_testing 12.94010200217599 usercpu_time_millis_testing 12.970750001841225 usercpu_time_millis_training 155.17369599547237 usercpu_time_millis_training 157.3321720061358 usercpu_time_millis_training 156.70244499779074 usercpu_time_millis_training 147.80753900413401 usercpu_time_millis_training 149.60514499398414 usercpu_time_millis_training 148.9525479992153 usercpu_time_millis_training 142.9728180009988 usercpu_time_millis_training 146.32324100239202 usercpu_time_millis_training 150.51596899866126 usercpu_time_millis_training 155.30800399574218 wall_clock_time_millis 168.50614547729492 wall_clock_time_millis 170.3784465789795 wall_clock_time_millis 169.70109939575195 wall_clock_time_millis 224.63083267211914 wall_clock_time_millis 194.3228244781494 wall_clock_time_millis 161.81683540344238 wall_clock_time_millis 155.5471420288086 wall_clock_time_millis 159.0445041656494 wall_clock_time_millis 251.47557258605957 wall_clock_time_millis 264.30416107177734 wall_clock_time_millis_testing 13.194799423217773 wall_clock_time_millis_testing 13.030052185058594 wall_clock_time_millis_testing 12.98213005065918 wall_clock_time_millis_testing 12.811660766601562 wall_clock_time_millis_testing 12.711286544799805 wall_clock_time_millis_testing 12.848138809204102 wall_clock_time_millis_testing 12.523412704467773 wall_clock_time_millis_testing 12.57777214050293 wall_clock_time_millis_testing 12.952804565429688 wall_clock_time_millis_testing 28.985261917114258 wall_clock_time_millis_training 155.31134605407715 wall_clock_time_millis_training 157.3483943939209 wall_clock_time_millis_training 156.71896934509277 wall_clock_time_millis_training 211.81917190551758 wall_clock_time_millis_training 181.6115379333496 wall_clock_time_millis_training 148.96869659423828 wall_clock_time_millis_training 143.02372932434082 wall_clock_time_millis_training 146.46673202514648 wall_clock_time_millis_training 238.52276802062988 wall_clock_time_millis_training 235.3188991546631