1882426 2702 OpenML_Bot R 3485 Supervised Classification 5969 mlr.classif.svm(8) 49337 cost 56.1697065260723 5969 kernel linear 5969 openml.seed 1 5969 openml.kind Mersenne-Twister 5969 openml.normal.kind Inversion 5969 botV1 mlrRandomBot sciBenchV1.0 312 scene https://www.openml.org/data/download/1390080/phpuZu33P -1 4714269 description https://api.openml.org/data/download/4714269/description19f033e7648.xml -1 4714270 predictions https://api.openml.org/data/download/4714270/predictions19f013d75a.arff area_under_roc_curve 0.9566890857341462 [0.956689,0.956689] average_cost 0 f_measure 0.9411219288936628 [0.964806,0.832536] kappa 0.797383506639842 kb_relative_information_score 1637.1006816299614 mean_absolute_error 0.08703152801828362 mean_prior_absolute_error 0.29416743712946186 number_of_instances 2407 [1976,431] precision 0.9407638815200093 [0.958541,0.859259] predictive_accuracy 0.9418363107602825 prior_entropy 0.6786037019780878 recall 0.9418363107602825 [0.971154,0.807425] relative_absolute_error 0.2958571107242622 root_mean_prior_squared_error 0.3834035412052162 root_mean_squared_error 0.2151330026887975 root_relative_squared_error 0.561113760223847 scimark_benchmark 653.359073143757 [ 594.695069894123, 678.744278971483, 207.2060640679, 819.199999999814, 966.949952785467 ] total_cost 0 usercpu_time_millis 247.319999999996 usercpu_time_millis_testing 1.91999999999462 usercpu_time_millis_training 245.400000000001 area_under_roc_curve 0.9568945266619685 [0.956895,0.956895] area_under_roc_curve 0.9096781771200376 [0.909678,0.909678] area_under_roc_curve 0.9281183932346723 [0.928118,0.928118] area_under_roc_curve 0.9612403100775194 [0.96124,0.96124] area_under_roc_curve 0.9723984026309608 [0.972398,0.972398] area_under_roc_curve 0.976156918017383 [0.976157,0.976157] area_under_roc_curve 0.9866174434702354 [0.986617,0.986617] area_under_roc_curve 0.9609255105654585 [0.960926,0.960926] area_under_roc_curve 0.962342108369732 [0.962342,0.962342] area_under_roc_curve 0.972140243182623 [0.97214,0.97214] 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 0.9269480420038951 [0.957816,0.78481] f_measure 0.941908713692946 [0.964646,0.837209] f_measure 0.9174303796710437 [0.953086,0.753247] f_measure 0.9467613394314722 [0.966921,0.853933] f_measure 0.9407823094828458 [0.965,0.829268] f_measure 0.9424214021334731 [0.964467,0.840909] f_measure 0.9413799287870502 [0.964646,0.837209] f_measure 0.9530392338871869 [0.972431,0.864198] f_measure 0.945583271283197 [0.967089,0.847059] f_measure 0.953511527217181 [0.972292,0.86747] kappa 0.743022015931757 kappa 0.801855766972046 kappa 0.7070939678884409 kappa 0.8208997884868232 kappa 0.7943686006825937 kappa 0.8053985465451609 kappa 0.8018790369935408 kappa 0.8367548849863965 kappa 0.8141529664045746 kappa 0.8398058252427186 kb_relative_information_score 144.26314537993179 kb_relative_information_score 158.7730229863469 kb_relative_information_score 145.48636074945068 kb_relative_information_score 163.3045056630938 kb_relative_information_score 169.14502196421242 kb_relative_information_score 165.54909903280662 kb_relative_information_score 173.74538313105472 kb_relative_information_score 180.47662959768647 kb_relative_information_score 171.047139381316 kb_relative_information_score 165.3103737440584 mean_absolute_error 0.10545011834940005 mean_absolute_error 0.08758082669958919 mean_absolute_error 0.10187302948365613 mean_absolute_error 0.09035852061686367 mean_absolute_error 0.08309689873581143 mean_absolute_error 0.08560507470526697 mean_absolute_error 0.08412389966099447 mean_absolute_error 0.06938634000369305 mean_absolute_error 0.07744392047289604 mean_absolute_error 0.08527636948748281 mean_prior_absolute_error 0.293758364638829 mean_prior_absolute_error 0.293758364638829 mean_prior_absolute_error 0.293758364638829 mean_prior_absolute_error 0.293758364638829 mean_prior_absolute_error 0.293758364638829 mean_prior_absolute_error 0.293758364638829 mean_prior_absolute_error 0.29641954703058604 mean_prior_absolute_error 0.2942351598173521 mean_prior_absolute_error 0.2942351598173521 mean_prior_absolute_error 0.2942351598173521 number_of_instances 241 [198,43] number_of_instances 241 [198,43] number_of_instances 241 [198,43] number_of_instances 241 [198,43] number_of_instances 241 [198,43] number_of_instances 241 [198,43] number_of_instances 241 [197,44] number_of_instances 240 [197,43] number_of_instances 240 [197,43] number_of_instances 240 [197,43] precision 0.927126696578169 [0.941463,0.861111] precision 0.941908713692946 [0.964646,0.837209] precision 0.9181957105411169 [0.932367,0.852941] precision 0.9479038010519157 [0.974359,0.826087] precision 0.9405203207840732 [0.955446,0.871795] precision 0.943130004422239 [0.969388,0.822222] precision 0.9410567955366638 [0.959799,0.857143] precision 0.9533470123328123 [0.960396,0.921053] precision 0.9453854016354016 [0.964646,0.857143] precision 0.9533541666666667 [0.965,0.9] predictive_accuracy 0.929460580912863 predictive_accuracy 0.9419087136929462 predictive_accuracy 0.921161825726141 predictive_accuracy 0.9460580912863071 predictive_accuracy 0.9419087136929462 predictive_accuracy 0.9419087136929462 predictive_accuracy 0.9419087136929462 predictive_accuracy 0.9541666666666667 predictive_accuracy 0.9458333333333333 predictive_accuracy 0.9541666666666667 prior_entropy 0.6786037019780878 prior_entropy 0.6786037019780878 prior_entropy 0.6786037019780878 prior_entropy 0.6786037019780878 prior_entropy 0.6786037019780878 prior_entropy 0.6786037019780878 prior_entropy 0.6786037019780878 prior_entropy 0.6786037019780878 prior_entropy 0.6786037019780878 prior_entropy 0.6786037019780878 recall 0.9294605809128631 [0.974747,0.72093] recall 0.941908713692946 [0.964646,0.837209] recall 0.921161825726141 [0.974747,0.674419] recall 0.946058091286307 [0.959596,0.883721] recall 0.941908713692946 [0.974747,0.790698] recall 0.941908713692946 [0.959596,0.860465] recall 0.941908713692946 [0.969543,0.818182] recall 0.9541666666666667 [0.984772,0.813953] recall 0.9458333333333333 [0.969543,0.837209] recall 0.9541666666666667 [0.979695,0.837209] relative_absolute_error 0.35896890452480973 relative_absolute_error 0.2981390055301688 relative_absolute_error 0.3467919274704137 relative_absolute_error 0.3075947155682119 relative_absolute_error 0.2828750045568155 relative_absolute_error 0.2914132328130196 relative_absolute_error 0.28380010867607913 relative_absolute_error 0.23581933595823476 relative_absolute_error 0.2632041681251477 relative_absolute_error 0.28982385905348135 root_mean_prior_squared_error 0.3828696944367244 root_mean_prior_squared_error 0.3828696944367244 root_mean_prior_squared_error 0.3828696944367244 root_mean_prior_squared_error 0.3828696944367244 root_mean_prior_squared_error 0.3828696944367244 root_mean_prior_squared_error 0.3828696944367244 root_mean_prior_squared_error 0.3863293741224291 root_mean_prior_squared_error 0.38349184880071946 root_mean_prior_squared_error 0.38349184880071946 root_mean_prior_squared_error 0.38349184880071946 root_mean_squared_error 0.25055991987095666 root_mean_squared_error 0.22096785897296584 root_mean_squared_error 0.24606041510539745 root_mean_squared_error 0.21532129350454618 root_mean_squared_error 0.2003353145100692 root_mean_squared_error 0.2045392552202302 root_mean_squared_error 0.1933551594591551 root_mean_squared_error 0.20011773702378413 root_mean_squared_error 0.20894640554353058 root_mean_squared_error 0.20294249290802854 root_relative_squared_error 0.654426097211948 root_relative_squared_error 0.5771359347154713 root_relative_squared_error 0.6426740446704722 root_relative_squared_error 0.5623879263187063 root_relative_squared_error 0.5232467270746024 root_relative_squared_error 0.5342268092572516 root_relative_squared_error 0.500493031104283 root_relative_squared_error 0.5218304838801796 root_relative_squared_error 0.544852273123826 root_relative_squared_error 0.5291963663443784 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