1883262 2702 OpenML_Bot R 3485 Supervised Classification 5969 mlr.classif.svm(8) 49374 cost 0.00395388833228846 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 4715941 description https://api.openml.org/data/download/4715941/description24a045e97f89.xml -1 4715942 predictions https://api.openml.org/data/download/4715942/predictions24a06db37d10.arff area_under_roc_curve 0.9338265684736562 [0.933827,0.933827] average_cost 0 f_measure 0.9029922266362669 [0.944472,0.712821] kappa 0.6580232928374715 kb_relative_information_score 1174.5563468834507 mean_absolute_error 0.14217148966061133 mean_prior_absolute_error 0.29416743712946186 number_of_instances 2407 [1976,431] precision 0.9025402000367543 [0.925656,0.796562] predictive_accuracy 0.9069380972164519 prior_entropy 0.6786037019780878 recall 0.906938097216452 [0.964069,0.645012] relative_absolute_error 0.48330124859483425 root_mean_prior_squared_error 0.3834035412052162 root_mean_squared_error 0.26140577545283084 root_relative_squared_error 0.681803236952665 scimark_benchmark 640.522474340216 [ 561.752219001689, 670.945337047497, 207.126123456746, 780.88769734883, 981.900994846318 ] total_cost 0 usercpu_time_millis 332.210000000003 usercpu_time_millis_testing 6.02000000000044 usercpu_time_millis_training 326.190000000002 area_under_roc_curve 0.9292929292929293 [0.929293,0.929293] area_under_roc_curve 0.8979328165374677 [0.897933,0.897933] area_under_roc_curve 0.9114399812074231 [0.91144,0.91144] area_under_roc_curve 0.9414493774958891 [0.941449,0.941449] area_under_roc_curve 0.9392764857881137 [0.939276,0.939276] area_under_roc_curve 0.9272962179938925 [0.927296,0.927296] area_under_roc_curve 0.9576026765113059 [0.957603,0.957603] area_under_roc_curve 0.9626962578208004 [0.962696,0.962696] area_under_roc_curve 0.9402667925864715 [0.940267,0.940267] area_under_roc_curve 0.9289340101522843 [0.928934,0.928934] 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 0.8957860054878269 [0.937028,0.705882] f_measure 0.9145197250263206 [0.950249,0.75] f_measure 0.8888756425342169 [0.935323,0.675] f_measure 0.9052485552683701 [0.948905,0.704225] f_measure 0.9115041328856315 [0.95098,0.72973] f_measure 0.9000473017070528 [0.94321,0.701299] f_measure 0.8926886206439743 [0.937656,0.691358] f_measure 0.9122155636616294 [0.950495,0.736842] f_measure 0.9018093072186638 [0.942356,0.716049] f_measure 0.9072716049382716 [0.948148,0.72] kappa 0.6429206424465123 kappa 0.7005839234687538 kappa 0.6107591005093802 kappa 0.6557845337686186 kappa 0.6822257383966244 kappa 0.6454295400754815 kappa 0.6295727021211192 kappa 0.6883521620568757 kappa 0.6586693049715558 kappa 0.6694648478488981 kb_relative_information_score 114.72990853035668 kb_relative_information_score 112.15500018688289 kb_relative_information_score 104.85556821548991 kb_relative_information_score 120.5456138919391 kb_relative_information_score 132.13711566849597 kb_relative_information_score 111.39406973163233 kb_relative_information_score 113.69528546461007 kb_relative_information_score 131.7679785777004 kb_relative_information_score 114.5813402263972 kb_relative_information_score 118.69446638994377 mean_absolute_error 0.14654529712779701 mean_absolute_error 0.1478434178839484 mean_absolute_error 0.1510594921387428 mean_absolute_error 0.1380838665205771 mean_absolute_error 0.12790831533174293 mean_absolute_error 0.14548171362037954 mean_absolute_error 0.14861186489663794 mean_absolute_error 0.1272472401541086 mean_absolute_error 0.1430452370565233 mean_absolute_error 0.14584539545942257 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 0.8953510885786372 [0.934673,0.714286] precision 0.9138888705644869 [0.936275,0.810811] precision 0.8873401104301764 [0.921569,0.72973] precision 0.9114542023927799 [0.915493,0.892857] precision 0.9143813220643631 [0.92381,0.870968] precision 0.8997622862964417 [0.922705,0.794118] precision 0.8914784933823253 [0.921569,0.756757] precision 0.9133728590250331 [0.927536,0.848485] precision 0.90067635052979 [0.930693,0.763158] precision 0.9088641826923077 [0.923077,0.84375] predictive_accuracy 0.896265560165975 predictive_accuracy 0.91701244813278 predictive_accuracy 0.892116182572614 predictive_accuracy 0.9128630705394191 predictive_accuracy 0.91701244813278 predictive_accuracy 0.9045643153526971 predictive_accuracy 0.896265560165975 predictive_accuracy 0.9166666666666667 predictive_accuracy 0.9041666666666667 predictive_accuracy 0.9125 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 0.8962655601659751 [0.939394,0.697674] recall 0.91701244813278 [0.964646,0.697674] recall 0.8921161825726142 [0.949495,0.627907] recall 0.9128630705394191 [0.984848,0.581395] recall 0.91701244813278 [0.979798,0.627907] recall 0.9045643153526971 [0.964646,0.627907] recall 0.8962655601659751 [0.954315,0.636364] recall 0.9166666666666666 [0.974619,0.651163] recall 0.9041666666666667 [0.954315,0.674419] recall 0.9125 [0.974619,0.627907] relative_absolute_error 0.4988634019254976 relative_absolute_error 0.5032824105816336 relative_absolute_error 0.5142304367212417 relative_absolute_error 0.4700593519791306 relative_absolute_error 0.4354201640828307 relative_absolute_error 0.4952427952111147 relative_absolute_error 0.5013564941495017 relative_absolute_error 0.4324678268671152 relative_absolute_error 0.4861595641571841 relative_absolute_error 0.49567630037809496 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 0.2720215950670051 root_mean_squared_error 0.27602930501319844 root_mean_squared_error 0.27765897096762265 root_mean_squared_error 0.25288047398103025 root_mean_squared_error 0.24193961414577034 root_mean_squared_error 0.26734030276445003 root_mean_squared_error 0.25780351585307953 root_mean_squared_error 0.24638985121887205 root_mean_squared_error 0.25864745423253727 root_mean_squared_error 0.2607394567216833 root_relative_squared_error 0.7104808738315045 root_relative_squared_error 0.7209484297765877 root_relative_squared_error 0.7252048804126764 root_relative_squared_error 0.6604870473048708 root_relative_squared_error 0.6319111114336443 root_relative_squared_error 0.698254018662301 root_relative_squared_error 0.6673153353629816 root_relative_squared_error 0.6424904518554915 root_relative_squared_error 0.6744535901907598 root_relative_squared_error 0.6799087321857938 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