10327501 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) 8183167 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 15663.776125328099 13389 cache_size 200 13389 class_weight null 13389 coef0 0.7200282904076336 13389 decision_function_shape "ovr" 13389 degree 4 13389 gamma 0.020163640638038785 13389 kernel "poly" 13389 max_iter -1 13389 probability false 13389 random_state 59453 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 21576688 description https://api.openml.org/data/download/21576688/description.xml -1 21576689 predictions https://api.openml.org/data/download/21576689/predictions.arff area_under_roc_curve 0.8122013778523082 [0.764625,0.887728,0.95833,0.727136,0.739143,0.941234,0.903449] average_cost 0 f_measure 0.7151424199459089 [0.611303,0.781818,0.923463,0.641363,0.555556,0.864865,0.824147] kappa 0.6369574000089779 kb_relative_information_score 0.6836094490346167 mean_absolute_error 0.08095974092882921 mean_prior_absolute_error 0.2223438305942003 number_of_instances 1941 [402,55,391,673,158,72,190] precision 0.7168396362306876 [0.569892,0.781818,0.906404,0.669903,0.615385,0.842105,0.82199] predictive_accuracy 0.7166409067490984 prior_entropy 2.4106995883230287 recall 0.7166409067490984 [0.659204,0.781818,0.941176,0.615156,0.506329,0.888889,0.826316] relative_absolute_error 0.3641195742309074 root_mean_prior_squared_error 0.3333637532267832 root_mean_squared_error 0.2845342526460201 root_relative_squared_error 0.8535248655316614 total_cost 0 area_under_roc_curve 0.7975018764837314 [0.793633,1,0.939919,0.690882,0.683333,0.9375,0.859898] area_under_roc_curve 0.8019200551234851 [0.702933,0.9,0.948635,0.748795,0.727528,0.928571,0.89188] area_under_roc_curve 0.8420539801438677 [0.778571,0.897354,1,0.777544,0.713132,1,0.918195] area_under_roc_curve 0.8039818140325572 [0.766558,0.994709,0.945409,0.702264,0.738764,0.928571,0.915338] area_under_roc_curve 0.8157247425496792 [0.806818,0.897354,0.955004,0.707983,0.738764,1,0.909624] area_under_roc_curve 0.8218033663285923 [0.798052,0.658688,0.958313,0.734693,0.733146,0.991979,0.962256] area_under_roc_curve 0.7908513210497722 [0.700812,0.916667,0.945327,0.722882,0.710323,0.92055,0.883308] area_under_roc_curve 0.7858425859818732 [0.669805,0.916667,0.964682,0.677694,0.758778,0.997326,0.94797] area_under_roc_curve 0.825687745081803 [0.818831,0.989362,0.967907,0.754378,0.804073,0.714286,0.807218] area_under_roc_curve 0.8364653679511872 [0.810552,0.74734,0.958313,0.753966,0.78324,0.986559,0.938797] 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 0.6880580266294553 [0.632653,1,0.880952,0.583333,0.444444,0.933333,0.777778] f_measure 0.7085754715367458 [0.53012,0.888889,0.911392,0.671533,0.5,0.923077,0.857143] f_measure 0.7685223367697595 [0.622222,0.8,1,0.711111,0.56,1,0.888889] f_measure 0.7096770090923039 [0.619048,0.833333,0.9,0.61194,0.571429,0.923077,0.864865] f_measure 0.7163854041870378 [0.659341,0.8,0.902439,0.612903,0.571429,1,0.820513] f_measure 0.7237357025321455 [0.666667,0.363636,0.947368,0.651163,0.533333,0.823529,0.878049] f_measure 0.6799445097049706 [0.525,0.909091,0.870588,0.636364,0.538462,0.75,0.789474] f_measure 0.6688168599448189 [0.48,0.909091,0.936709,0.573643,0.545455,0.933333,0.782609] f_measure 0.7315726640000833 [0.659794,0.75,0.948718,0.677419,0.689655,0.6,0.705882] f_measure 0.7467572446784001 [0.682353,0.6,0.947368,0.677165,0.6,0.761905,0.871795] kappa 0.6072903030913301 kappa 0.6192410990978583 kappa 0.699152250327383 kappa 0.62766467886764 kappa 0.6444595282538605 kappa 0.651894234350137 kappa 0.5957366856830526 kappa 0.5878047957910357 kappa 0.6573602336797771 kappa 0.6792847503373819 kb_relative_information_score 0.662510576501589 kb_relative_information_score 0.6647172031855465 kb_relative_information_score 0.7347766916474021 kb_relative_information_score 0.6831650419017309 kb_relative_information_score 0.6966263557937153 kb_relative_information_score 0.686962374612076 kb_relative_information_score 0.6461264006582179 kb_relative_information_score 0.6551320599028047 kb_relative_information_score 0.6891478590532897 kb_relative_information_score 0.7172488973944197 mean_absolute_error 0.08791208791208799 mean_absolute_error 0.08394698085419744 mean_absolute_error 0.06627393225331374 mean_absolute_error 0.0824742268041238 mean_absolute_error 0.07952871870397651 mean_absolute_error 0.07805596465390288 mean_absolute_error 0.08983799705449197 mean_absolute_error 0.09278350515463923 mean_absolute_error 0.07658321060382924 mean_absolute_error 0.07216494845360831 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 0.6991125697066465 [0.54386,1,0.840909,0.660377,0.5,1,0.823529] precision 0.7134910407461954 [0.52381,1,0.9,0.657143,0.5,1,0.9375] precision 0.7806351303921065 [0.56,0.8,1,0.716418,0.777778,1,0.941176] precision 0.7126271878597752 [0.590909,0.714286,0.878049,0.621212,0.666667,1,0.888889] precision 0.7221498716964609 [0.588235,0.8,0.860465,0.678571,0.666667,1,0.8] precision 0.7256489683659622 [0.636364,0.4,0.972973,0.677419,0.571429,0.7,0.818182] precision 0.6831368019400293 [0.525,1,0.804348,0.646154,0.7,0.666667,0.789474] precision 0.669549249696553 [0.514286,1,0.925,0.596774,0.529412,0.875,0.666667] precision 0.7573827510886652 [0.561404,0.6,0.948718,0.736842,0.769231,1,0.8] precision 0.7541931304817904 [0.644444,0.75,0.972973,0.716667,0.6,0.615385,0.85] predictive_accuracy 0.6923076923076923 predictive_accuracy 0.7061855670103092 predictive_accuracy 0.7680412371134021 predictive_accuracy 0.711340206185567 predictive_accuracy 0.7216494845360825 predictive_accuracy 0.7268041237113403 predictive_accuracy 0.6855670103092784 predictive_accuracy 0.6752577319587628 predictive_accuracy 0.7319587628865979 predictive_accuracy 0.7474226804123711 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 0.6923076923076923 [0.756098,1,0.925,0.522388,0.4,0.875,0.736842] recall 0.7061855670103093 [0.536585,0.8,0.923077,0.686567,0.5,0.857143,0.789474] recall 0.7680412371134021 [0.7,0.8,1,0.705882,0.4375,1,0.842105] recall 0.711340206185567 [0.65,1,0.923077,0.602941,0.5,0.857143,0.842105] recall 0.7216494845360825 [0.75,0.8,0.948718,0.558824,0.5,1,0.842105] recall 0.7268041237113402 [0.7,0.333333,0.923077,0.626866,0.5,1,0.947368] recall 0.6855670103092784 [0.525,0.833333,0.948718,0.626866,0.4375,0.857143,0.789474] recall 0.6752577319587629 [0.45,0.833333,0.948718,0.552239,0.5625,1,0.947368] recall 0.7319587628865979 [0.8,1,0.948718,0.626866,0.625,0.428571,0.631579] recall 0.7474226804123711 [0.725,0.5,0.923077,0.641791,0.6,1,0.894737] relative_absolute_error 0.39537110015864924 relative_absolute_error 0.3777004479911833 relative_absolute_error 0.29845969466272637 relative_absolute_error 0.3714165089136152 relative_absolute_error 0.35815163359527175 relative_absolute_error 0.35078110666403944 relative_absolute_error 0.4037291982359698 relative_absolute_error 0.41696622112895243 relative_absolute_error 0.3441625952175481 relative_absolute_error 0.3242123283018356 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 0.2964997266644406 root_mean_squared_error 0.2897360537699743 root_mean_squared_error 0.2574372394454884 root_mean_squared_error 0.28718326344709544 root_mean_squared_error 0.28200836637230553 root_mean_squared_error 0.27938497571255133 root_mean_squared_error 0.2997298734769225 root_mean_squared_error 0.3046038495400858 root_mean_squared_error 0.2767367171226638 root_mean_squared_error 0.2686353447586678 root_relative_squared_error 0.8893799281984921 root_relative_squared_error 0.869464308961101 root_relative_squared_error 0.7732529874683413 root_relative_squared_error 0.8625998200170878 root_relative_squared_error 0.8470562077893401 root_relative_squared_error 0.8374133187459357 root_relative_squared_error 0.8983940078934353 root_relative_squared_error 0.9130029984453867 root_relative_squared_error 0.8294755725983517 root_relative_squared_error 0.8049578922619461 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 838.5531840031035 usercpu_time_millis 709.7913910038187 usercpu_time_millis 832.6601950029726 usercpu_time_millis 721.3998709994485 usercpu_time_millis 768.7347590035642 usercpu_time_millis 733.9911809976911 usercpu_time_millis 728.5156070065568 usercpu_time_millis 775.0154289969942 usercpu_time_millis 748.3408140033134 usercpu_time_millis 789.1051789993071 usercpu_time_millis_testing 11.517776001710445 usercpu_time_millis_testing 10.80148800247116 usercpu_time_millis_testing 11.2037560029421 usercpu_time_millis_testing 10.424409003462642 usercpu_time_millis_testing 10.405906999949366 usercpu_time_millis_testing 10.436450997076463 usercpu_time_millis_testing 10.360517000663094 usercpu_time_millis_testing 10.57435399707174 usercpu_time_millis_testing 10.799087001942098 usercpu_time_millis_testing 10.666886999388225 usercpu_time_millis_training 827.0354080013931 usercpu_time_millis_training 698.9899030013476 usercpu_time_millis_training 821.4564390000305 usercpu_time_millis_training 710.9754619959858 usercpu_time_millis_training 758.3288520036149 usercpu_time_millis_training 723.5547300006147 usercpu_time_millis_training 718.1550900058937 usercpu_time_millis_training 764.4410749999224 usercpu_time_millis_training 737.5417270013713 usercpu_time_millis_training 778.4382919999189 wall_clock_time_millis 838.6268615722656 wall_clock_time_millis 773.8773822784424 wall_clock_time_millis 832.7610492706299 wall_clock_time_millis 749.5415210723877 wall_clock_time_millis 784.8176956176758 wall_clock_time_millis 734.0586185455322 wall_clock_time_millis 740.581750869751 wall_clock_time_millis 799.107551574707 wall_clock_time_millis 866.2943840026855 wall_clock_time_millis 1245.4502582550049 wall_clock_time_millis_testing 11.530876159667969 wall_clock_time_millis_testing 10.812759399414062 wall_clock_time_millis_testing 11.214494705200195 wall_clock_time_millis_testing 10.43701171875 wall_clock_time_millis_testing 10.41865348815918 wall_clock_time_millis_testing 10.449886322021484 wall_clock_time_millis_testing 10.372638702392578 wall_clock_time_millis_testing 10.586977005004883 wall_clock_time_millis_testing 10.812520980834961 wall_clock_time_millis_testing 26.680707931518555 wall_clock_time_millis_training 827.0959854125977 wall_clock_time_millis_training 763.0646228790283 wall_clock_time_millis_training 821.5465545654297 wall_clock_time_millis_training 739.1045093536377 wall_clock_time_millis_training 774.3990421295166 wall_clock_time_millis_training 723.6087322235107 wall_clock_time_millis_training 730.2091121673584 wall_clock_time_millis_training 788.5205745697021 wall_clock_time_millis_training 855.4818630218506 wall_clock_time_millis_training 1218.7695503234863