10330478 8323 Heinrich Peters 9910 Supervised Classification 16345 sklearn.pipeline.Pipeline(simpleimputer=sklearn.impute._base.SimpleImputer,standardscaler=sklearn.preprocessing.data.StandardScaler,svc=sklearn.svm.classes.SVC)(1) 8186074 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 1066.720249983584 13389 cache_size 200 13389 class_weight null 13389 coef0 -0.5152191769846266 13389 decision_function_shape "ovr" 13389 degree 1 13389 gamma 0.08929278293093357 13389 kernel "poly" 13389 max_iter -1 13389 probability false 13389 random_state 19482 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. 4134 Bioresponse https://www.openml.org/data/download/1681097/phpSSK7iA -1 21582654 description https://api.openml.org/data/download/21582654/description.xml -1 21582655 predictions https://api.openml.org/data/download/21582655/predictions.arff area_under_roc_curve 0.6838198786042061 [0.68382,0.68382] average_cost 0 f_measure 0.6863481598811801 [0.655738,0.712188] kappa 0.3679403357190448 kb_relative_information_score 0.36646082563433624 mean_absolute_error 0.31351639562783257 mean_prior_absolute_error 0.4964308656158626 number_of_instances 3751 [1717,2034] precision 0.6862443736387726 [0.659211,0.709064] predictive_accuracy 0.6864836043721674 prior_entropy 0.9948419333531207 recall 0.6864836043721674 [0.652301,0.715339] relative_absolute_error 0.6315408999375777 root_mean_prior_squared_error 0.4982112822885347 root_mean_squared_error 0.5599253482633489 root_relative_squared_error 1.1238712734310845 total_cost 0 area_under_roc_curve 0.7124943000455997 [0.712494,0.712494] area_under_roc_curve 0.6610436476114102 [0.661044,0.661044] area_under_roc_curve 0.6878938022683011 [0.687894,0.687894] area_under_roc_curve 0.7184958185359148 [0.718496,0.718496] area_under_roc_curve 0.6695211364417459 [0.669521,0.669521] area_under_roc_curve 0.6592249971359835 [0.659225,0.659225] area_under_roc_curve 0.6856312292358804 [0.685631,0.685631] area_under_roc_curve 0.6809855521155831 [0.680986,0.680986] area_under_roc_curve 0.7141812865497077 [0.714181,0.714181] area_under_roc_curve 0.6486498108015136 [0.64865,0.64865] 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 0.7131576402321083 [0.693182,0.73] f_measure 0.6650061247524228 [0.620061,0.703088] f_measure 0.6918056347722289 [0.650456,0.726841] f_measure 0.7178127161479116 [0.703911,0.729592] f_measure 0.6719248142921612 [0.641399,0.697789] f_measure 0.6614060475934872 [0.631884,0.68642] f_measure 0.6879284818876655 [0.658892,0.712531] f_measure 0.684590511285122 [0.646707,0.716346] f_measure 0.717032917791693 [0.686391,0.742718] f_measure 0.6508916800858828 [0.62029,0.676543] kappa 0.4234438891412993 kappa 0.3242463995848169 kappa 0.37830668761803166 kappa 0.4342925454700709 kappa 0.33919284823999657 kappa 0.318308689864449 kappa 0.37142734344780143 kappa 0.3633459944751381 kappa 0.4291745648802345 kappa 0.2968783545880029 kb_relative_information_score 0.41952851904884725 kb_relative_information_score 0.32656817410816896 kb_relative_information_score 0.3804427201795143 kb_relative_information_score 0.42892981164372374 kb_relative_information_score 0.3373430833224381 kb_relative_information_score 0.3157932648938999 kb_relative_information_score 0.3696678109652447 kb_relative_information_score 0.3638638826042665 kb_relative_information_score 0.42855569115298314 kb_relative_information_score 0.2937810900098227 mean_absolute_error 0.2872340425531915 mean_absolute_error 0.3333333333333333 mean_absolute_error 0.30666666666666664 mean_absolute_error 0.2826666666666667 mean_absolute_error 0.328 mean_absolute_error 0.33866666666666667 mean_absolute_error 0.312 mean_absolute_error 0.31466666666666665 mean_absolute_error 0.2826666666666667 mean_absolute_error 0.34933333333333333 mean_prior_absolute_error 0.4964057123095849 mean_prior_absolute_error 0.4965087485567102 mean_prior_absolute_error 0.4965087485567102 mean_prior_absolute_error 0.4965087485567102 mean_prior_absolute_error 0.4965087485567102 mean_prior_absolute_error 0.4965087485567102 mean_prior_absolute_error 0.4965087485567102 mean_prior_absolute_error 0.4962835065281108 mean_prior_absolute_error 0.4962835065281108 mean_prior_absolute_error 0.4962835065281108 number_of_instances 376 [172,204] number_of_instances 375 [172,203] number_of_instances 375 [172,203] number_of_instances 375 [172,203] number_of_instances 375 [172,203] number_of_instances 375 [172,203] number_of_instances 375 [172,203] number_of_instances 375 [171,204] number_of_instances 375 [171,204] number_of_instances 375 [171,204] precision 0.7141940464128914 [0.677778,0.744898] precision 0.6654979645104111 [0.649682,0.678899] precision 0.6925210853347358 [0.681529,0.701835] precision 0.720289924332935 [0.677419,0.756614] precision 0.6718591904598097 [0.643275,0.696078] precision 0.6614881626891012 [0.630058,0.688119] precision 0.6878667583992661 [0.660819,0.710784] precision 0.6844745919666628 [0.662577,0.70283] precision 0.7168963611239061 [0.694611,0.735577] precision 0.6511998627551896 [0.614943,0.681592] predictive_accuracy 0.7127659574468085 predictive_accuracy 0.6666666666666667 predictive_accuracy 0.6933333333333332 predictive_accuracy 0.7173333333333334 predictive_accuracy 0.672 predictive_accuracy 0.6613333333333334 predictive_accuracy 0.688 predictive_accuracy 0.6853333333333333 predictive_accuracy 0.7173333333333334 predictive_accuracy 0.6506666666666666 prior_entropy 0.9947691829105159 prior_entropy 0.9950671927429882 prior_entropy 0.9950671927429882 prior_entropy 0.9950671927429882 prior_entropy 0.9950671927429882 prior_entropy 0.9950671927429882 prior_entropy 0.9950671927429882 prior_entropy 0.994415729388281 prior_entropy 0.994415729388281 prior_entropy 0.994415729388281 recall 0.7127659574468085 [0.709302,0.715686] recall 0.6666666666666666 [0.593023,0.729064] recall 0.6933333333333334 [0.622093,0.753695] recall 0.7173333333333334 [0.732558,0.704433] recall 0.672 [0.639535,0.699507] recall 0.6613333333333333 [0.633721,0.684729] recall 0.688 [0.656977,0.714286] recall 0.6853333333333333 [0.631579,0.730392] recall 0.7173333333333334 [0.678363,0.75] recall 0.6506666666666666 [0.625731,0.671569] relative_absolute_error 0.5786275931773669 relative_absolute_error 0.6713544007075248 relative_absolute_error 0.6176460486509229 relative_absolute_error 0.5693085317999812 relative_absolute_error 0.6606127302962047 relative_absolute_error 0.6820960711188454 relative_absolute_error 0.6283877190622433 relative_absolute_error 0.6340461903882415 relative_absolute_error 0.5695669167894374 relative_absolute_error 0.703898736786946 root_mean_prior_squared_error 0.4981860380352768 root_mean_prior_squared_error 0.4982894387205206 root_mean_prior_squared_error 0.4982894387205206 root_mean_prior_squared_error 0.4982894387205206 root_mean_prior_squared_error 0.4982894387205206 root_mean_prior_squared_error 0.4982894387205206 root_mean_prior_squared_error 0.4982894387205206 root_mean_prior_squared_error 0.4980633721845164 root_mean_prior_squared_error 0.4980633721845164 root_mean_prior_squared_error 0.4980633721845164 root_mean_squared_error 0.5359422007578724 root_mean_squared_error 0.5773502691896257 root_mean_squared_error 0.5537749241945383 root_mean_squared_error 0.5316640543300503 root_mean_squared_error 0.5727128425310541 root_mean_squared_error 0.5819507424745385 root_mean_squared_error 0.5585696017507576 root_mean_squared_error 0.5609515724790034 root_mean_squared_error 0.5316640543300503 root_mean_squared_error 0.5910442735813733 root_relative_squared_error 1.0757872759170382 root_relative_squared_error 1.1586644715411047 root_relative_squared_error 1.1113519195118606 root_relative_squared_error 1.066978372439976 root_relative_squared_error 1.149357778887776 root_relative_squared_error 1.1678970037350955 root_relative_squared_error 1.120974193603262 root_relative_squared_error 1.1262654589889998 root_relative_squared_error 1.0674626644359744 root_relative_squared_error 1.186684881060498 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 254020.07917799347 usercpu_time_millis 296020.64840299136 usercpu_time_millis 202461.54727300745 usercpu_time_millis 266633.30809499894 usercpu_time_millis 188599.29472301155 usercpu_time_millis 216046.8948550115 usercpu_time_millis 250789.9168949807 usercpu_time_millis 260388.6736830027 usercpu_time_millis 249524.98695100076 usercpu_time_millis 193129.84655500622 usercpu_time_millis_testing 1542.5588759972015 usercpu_time_millis_testing 1500.3649900027085 usercpu_time_millis_testing 1429.9403379991418 usercpu_time_millis_testing 1477.3266590054845 usercpu_time_millis_testing 1438.082304011914 usercpu_time_millis_testing 1464.638408011524 usercpu_time_millis_testing 1466.920629987726 usercpu_time_millis_testing 1442.9004300036468 usercpu_time_millis_testing 1547.9699519928545 usercpu_time_millis_testing 1418.4916390076978 usercpu_time_millis_training 252477.52030199626 usercpu_time_millis_training 294520.28341298865 usercpu_time_millis_training 201031.6069350083 usercpu_time_millis_training 265155.98143599345 usercpu_time_millis_training 187161.21241899964 usercpu_time_millis_training 214582.25644699996 usercpu_time_millis_training 249322.99626499298 usercpu_time_millis_training 258945.77325299906 usercpu_time_millis_training 247977.0169990079 usercpu_time_millis_training 191711.35491599853 wall_clock_time_millis 275615.50998687744 wall_clock_time_millis 318692.5821304321 wall_clock_time_millis 209106.54640197754 wall_clock_time_millis 285645.259141922 wall_clock_time_millis 195018.46766471863 wall_clock_time_millis 224547.16229438782 wall_clock_time_millis 267052.8497695923 wall_clock_time_millis 276681.66494369507 wall_clock_time_millis 267163.68103027344 wall_clock_time_millis 193416.0132408142 wall_clock_time_millis_testing 1763.1080150604248 wall_clock_time_millis_testing 1500.605821609497 wall_clock_time_millis_testing 1758.0788135528564 wall_clock_time_millis_testing 1477.5681495666504 wall_clock_time_millis_testing 1498.2242584228516 wall_clock_time_millis_testing 1464.9207592010498 wall_clock_time_millis_testing 1563.1566047668457 wall_clock_time_millis_testing 1443.1171417236328 wall_clock_time_millis_testing 1628.3085346221924 wall_clock_time_millis_testing 1418.663501739502 wall_clock_time_millis_training 273852.401971817 wall_clock_time_millis_training 317191.97630882263 wall_clock_time_millis_training 207348.46758842468 wall_clock_time_millis_training 284167.69099235535 wall_clock_time_millis_training 193520.24340629578 wall_clock_time_millis_training 223082.24153518677 wall_clock_time_millis_training 265489.69316482544 wall_clock_time_millis_training 275238.54780197144 wall_clock_time_millis_training 265535.37249565125 wall_clock_time_millis_training 191997.3497390747