1883263 2702 OpenML_Bot R 3485 Supervised Classification 5969 mlr.classif.svm(8) 49382 cost 1.00742685140991 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 4715943 description https://api.openml.org/data/download/4715943/description4f47cb41631.xml -1 4715944 predictions https://api.openml.org/data/download/4715944/predictions4f45c577317.arff area_under_roc_curve 0.9689534272053505 [0.968953,0.968953] average_cost 0 f_measure 0.9635066535264918 [0.978478,0.894866] kappa 0.8734189754740934 kb_relative_information_score 1793.1452910135856 mean_absolute_error 0.07705485961337054 mean_prior_absolute_error 0.29416743712946186 number_of_instances 2407 [1976,431] precision 0.9638671560801553 [0.967822,0.945736] predictive_accuracy 0.9642708766098879 prior_entropy 0.6786037019780878 recall 0.9642708766098879 [0.989372,0.849188] relative_absolute_error 0.2619421794787538 root_mean_prior_squared_error 0.3834035412052162 root_mean_squared_error 0.17741468769738516 root_relative_squared_error 0.462736173848807 scimark_benchmark 665.315443992375 [ 594.897899044879, 678.505284507007, 203.66878300466, 788.640192538985, 1060.86506086634 ] total_cost 0 usercpu_time_millis 250.200000000008 usercpu_time_millis_testing 1.87000000000262 usercpu_time_millis_training 248.330000000005 area_under_roc_curve 0.9749823819591261 [0.974982,0.974982] area_under_roc_curve 0.9146112285647169 [0.914611,0.914611] area_under_roc_curve 0.9482029598308669 [0.948203,0.948203] area_under_roc_curve 0.9863753817242188 [0.986375,0.986375] area_under_roc_curve 0.9772140004698144 [0.977214,0.977214] area_under_roc_curve 0.9889593610523844 [0.988959,0.988959] area_under_roc_curve 0.9967697277341946 [0.99677,0.99677] area_under_roc_curve 0.9696611970251446 [0.969661,0.969661] area_under_roc_curve 0.9755636878762837 [0.975564,0.975564] area_under_roc_curve 0.991264313540314 [0.991264,0.991264] 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 0.9567891675857657 [0.975248,0.871795] f_measure 0.9537035610072022 [0.972431,0.86747] f_measure 0.935542390003437 [0.962779,0.810127] f_measure 0.9661613197044834 [0.98,0.902439] f_measure 0.9699197820016038 [0.98263,0.911392] f_measure 0.9708200815365916 [0.982368,0.917647] f_measure 0.9873792275357838 [0.992443,0.964706] f_measure 0.9615775549986075 [0.977444,0.888889] f_measure 0.9663540163540162 [0.979798,0.904762] f_measure 0.9660211627241899 [0.979899,0.902439] kappa 0.847352419559159 kappa 0.8399444545070339 kappa 0.7732547199397856 kappa 0.8824963432471965 kappa 0.8941855359718999 kappa 0.9000177798850234 kappa 0.9571606328138889 kappa 0.8664358149888698 kappa 0.8845737645785741 kappa 0.882396177875781 kb_relative_information_score 175.95197265348398 kb_relative_information_score 164.0740824612508 kb_relative_information_score 167.29379267692406 kb_relative_information_score 178.6627061220154 kb_relative_information_score 177.62161219426278 kb_relative_information_score 188.73951523477726 kb_relative_information_score 187.25084822575602 kb_relative_information_score 189.08884782966848 kb_relative_information_score 187.572920038446 kb_relative_information_score 176.88899357699898 mean_absolute_error 0.08220379516293538 mean_absolute_error 0.08472707553193412 mean_absolute_error 0.08607561177684613 mean_absolute_error 0.08457012784769286 mean_absolute_error 0.07808082510218076 mean_absolute_error 0.06671688473876303 mean_absolute_error 0.07537300394018479 mean_absolute_error 0.06300119754658456 mean_absolute_error 0.06669367289438237 mean_absolute_error 0.08302988781384026 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 0.9590080627989019 [0.956311,0.971429] precision 0.9535455502570136 [0.965174,0.9] precision 0.9360905891216589 [0.946341,0.888889] precision 0.9664468202326137 [0.970297,0.948718] precision 0.9719461592956178 [0.965854,1] precision 0.9707413773074025 [0.979899,0.928571] precision 0.9877385892116182 [0.985,1] precision 0.9621254559666492 [0.965347,0.947368] precision 0.9662662908036116 [0.974874,0.926829] precision 0.9663094782497768 [0.970149,0.948718] predictive_accuracy 0.9585062240663901 predictive_accuracy 0.9543568464730291 predictive_accuracy 0.937759336099585 predictive_accuracy 0.966804979253112 predictive_accuracy 0.970954356846473 predictive_accuracy 0.970954356846473 predictive_accuracy 0.9875518672199171 predictive_accuracy 0.9625 predictive_accuracy 0.9666666666666667 predictive_accuracy 0.9666666666666667 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 0.9585062240663901 [0.994949,0.790698] recall 0.9543568464730291 [0.979798,0.837209] recall 0.9377593360995851 [0.979798,0.744186] recall 0.966804979253112 [0.989899,0.860465] recall 0.970954356846473 [1,0.837209] recall 0.970954356846473 [0.984848,0.906977] recall 0.9875518672199171 [1,0.931818] recall 0.9625 [0.989848,0.837209] recall 0.9666666666666667 [0.984772,0.883721] recall 0.9666666666666667 [0.989848,0.860465] relative_absolute_error 0.27983473854098956 relative_absolute_error 0.2884243845655413 relative_absolute_error 0.2930150155304502 relative_absolute_error 0.2878901097903047 relative_absolute_error 0.2657994954396612 relative_absolute_error 0.2271148425706629 relative_absolute_error 0.2542781159179338 relative_absolute_error 0.21411852202059353 relative_absolute_error 0.22666792417256587 relative_absolute_error 0.28218887187167385 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 0.19117280602044423 root_mean_squared_error 0.20987101972407382 root_mean_squared_error 0.21680255008392996 root_mean_squared_error 0.17365562763176431 root_mean_squared_error 0.17168739756960183 root_mean_squared_error 0.1498311052742588 root_mean_squared_error 0.13542462841285668 root_mean_squared_error 0.182158704707036 root_mean_squared_error 0.1585773970619741 root_mean_squared_error 0.16846614092194917 root_relative_squared_error 0.49931558647308594 root_relative_squared_error 0.548152603284088 root_relative_squared_error 0.5662567532352974 root_relative_squared_error 0.4535632622666712 root_relative_squared_error 0.4484225313841757 root_relative_squared_error 0.39133707225036296 root_relative_squared_error 0.3505418885646012 root_relative_squared_error 0.47500019955233597 root_relative_squared_error 0.4135091725101527 root_relative_squared_error 0.43929523260738756 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