1883222 2702 OpenML_Bot R 3485 Supervised Classification 5969 mlr.classif.svm(8) 49358 cost 0.526200020461885 5969 gamma 1.16741203372599 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 4715861 description https://api.openml.org/data/download/4715861/description2de0451189d.xml -1 4715862 predictions https://api.openml.org/data/download/4715862/predictions2de01b66749e.arff area_under_roc_curve 0.5008277990174437 [0.500828,0.500828] average_cost 0 f_measure 0.7412102379169613 [0.901871,0.00463] kappa 0.0038037964814878595 kb_relative_information_score 8.318534041232226 mean_absolute_error 0.29299318858584733 mean_prior_absolute_error 0.29416743712946186 number_of_instances 2407 [1976,431] precision 0.8532819039508278 [0.82128,1] predictive_accuracy 0.8213543830494392 prior_entropy 0.6786037019780878 recall 0.8213543830494391 [1,0.00232] relative_absolute_error 0.9960082307033266 root_mean_prior_squared_error 0.3834035412052162 root_mean_squared_error 0.3828751676104898 root_relative_squared_error 0.9986218865035374 scimark_benchmark 644.048705494056 [ 590.867425474028, 678.505284507007, 209.715199999893, 800.195360194955, 940.960257294396 ] total_cost 0 usercpu_time_millis 913.71999999999 usercpu_time_millis_testing 13.6999999999935 usercpu_time_millis_training 900.019999999997 area_under_roc_curve 0.5116279069767442 [0.511628,0.511628] area_under_roc_curve 0.5075757575757576 [0.507576,0.507576] area_under_roc_curve 0.5140944326990838 [0.514094,0.514094] area_under_roc_curve 0.5050505050505051 [0.505051,0.505051] area_under_roc_curve 0.51010101010101 [0.510101,0.510101] area_under_roc_curve 0.4785059901338971 [0.478506,0.478506] area_under_roc_curve 0.5101522842639594 [0.510152,0.510152] area_under_roc_curve 0.5050761421319797 [0.505076,0.505076] area_under_roc_curve 0.5190650454491795 [0.519065,0.519065] area_under_roc_curve 0.5126903553299492 [0.51269,0.51269] 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 0.7509055771148649 [0.90411,0.045455] f_measure 0.7411034130757379 [0.90205,0] f_measure 0.7411034130757379 [0.90205,0] f_measure 0.7411034130757379 [0.90205,0] f_measure 0.7411034130757379 [0.90205,0] f_measure 0.7411034130757379 [0.90205,0] f_measure 0.7353113927887986 [0.899543,0] f_measure 0.7400648360030512 [0.901602,0] f_measure 0.7400648360030512 [0.901602,0] f_measure 0.7400648360030512 [0.901602,0] kappa 0.03764974329720436 kappa 0 kappa 0 kappa 0 kappa 0 kappa 0 kappa 0 kappa 0 kappa 0 kappa 0 kb_relative_information_score 3.1828062202274405 kb_relative_information_score 0.509515172776139 kb_relative_information_score 0.2507407782220821 kb_relative_information_score 0.42576777211461786 kb_relative_information_score 0.9116533907176225 kb_relative_information_score 0.009372561604903516 kb_relative_information_score 0.8522977965117673 kb_relative_information_score 0.25154012827250294 kb_relative_information_score 0.8078695365194103 kb_relative_information_score 1.1169706842656837 mean_absolute_error 0.29061404653767897 mean_absolute_error 0.29291344656490437 mean_absolute_error 0.29335658796194897 mean_absolute_error 0.29305033868094665 mean_absolute_error 0.2922473984026087 mean_absolute_error 0.29372209517023573 mean_absolute_error 0.29501478273221476 mean_absolute_error 0.2938304213944127 mean_absolute_error 0.2928351266357401 mean_absolute_error 0.2923477818779833 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 0.8562240663900414 [0.825,1] precision 0.6749883782992717 [0.821577,0] precision 0.6749883782992717 [0.821577,0] precision 0.6749883782992717 [0.821577,0] precision 0.6749883782992717 [0.821577,0] precision 0.6749883782992717 [0.821577,0] precision 0.6681875312064186 [0.817427,0] precision 0.673767361111111 [0.820833,0] precision 0.673767361111111 [0.820833,0] precision 0.673767361111111 [0.820833,0] predictive_accuracy 0.8257261410788382 predictive_accuracy 0.8215767634854773 predictive_accuracy 0.8215767634854773 predictive_accuracy 0.8215767634854773 predictive_accuracy 0.8215767634854773 predictive_accuracy 0.8215767634854773 predictive_accuracy 0.8174273858921162 predictive_accuracy 0.8208333333333333 predictive_accuracy 0.8208333333333333 predictive_accuracy 0.8208333333333333 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 0.8257261410788381 [1,0.023256] recall 0.8215767634854771 [1,0] recall 0.8215767634854771 [1,0] recall 0.8215767634854771 [1,0] recall 0.8215767634854771 [1,0] recall 0.8215767634854771 [1,0] recall 0.8174273858921162 [1,0] recall 0.8208333333333333 [1,0] recall 0.8208333333333333 [1,0] recall 0.8208333333333333 [1,0] relative_absolute_error 0.9892962431724596 relative_absolute_error 0.9971237650544406 relative_absolute_error 0.9986322885567054 relative_absolute_error 0.9975897674990367 relative_absolute_error 0.9948564316182861 relative_absolute_error 0.9998765329843873 relative_absolute_error 0.9952608918256449 relative_absolute_error 0.9986244389583127 relative_absolute_error 0.9952417882945019 relative_absolute_error 0.9935854778859863 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 0.3792095313039694 root_mean_squared_error 0.38271782012854894 root_mean_squared_error 0.3828687286202292 root_mean_squared_error 0.38272491803984265 root_mean_squared_error 0.3824946932395382 root_mean_squared_error 0.3830929737788074 root_mean_squared_error 0.38604124938112605 root_mean_squared_error 0.38349210294592984 root_mean_squared_error 0.38307752292409697 root_mean_squared_error 0.3830045514121752 root_relative_squared_error 0.9904401858231694 root_relative_squared_error 0.9996033263787072 root_relative_squared_error 0.9999974774276751 root_relative_squared_error 0.9996218650914779 root_relative_squared_error 0.9990205513713017 root_relative_squared_error 1.0005831731926744 root_relative_squared_error 0.9992541992387776 root_relative_squared_error 1.000000662713461 root_relative_squared_error 0.9989195966539622 root_relative_squared_error 0.9987293148731369 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