8864532 710 William Raynaut 145676 Supervised Classification area_under_roc_curve 7789 weka.kf.Bagging-NaiveBayes(1) 6833238 mDataExp Modelage study_107 4537 GesturePhaseSegmentationRAW https://www.openml.org/data/download/1798764/php8F3DIv -1 18644913 description https://api.openml.org/data/download/18644913/description9129923740951100640.xml -1 18644914 predictions https://api.openml.org/data/download/18644914/predictions7018854452945894383.arff area_under_roc_curve 0.701143 [0.648663,0.628387,0.792789,0.533131,0.746546,0.5] average_cost 0 f_measure 0.408421 [0.210272,0.31665,0.556099,0,0.552674,0] kappa 0.246855 kb_relative_information_score 2753.564393 mean_absolute_error 0.198728 mean_prior_absolute_error 0.255341 number_of_instances 9901 [998,2096,2769,1087,2950,1] precision 0.426753 [0.150519,0.340659,0.48211,0,0.686808,0] predictive_accuracy 0.419251 prior_entropy 2.194893 recall 0.419251 [0.348697,0.295802,0.656916,0,0.462373,0] relative_absolute_error 0.778285 root_mean_prior_squared_error 0.357301 root_mean_squared_error 0.395376 root_relative_squared_error 1.106564 total_cost 0 area_under_roc_curve 0.712669 [0.703481,0.64204,0.811607,0.543604,0.736319,0.5] area_under_roc_curve 0.709675 [0.625951,0.658065,0.786872,0.540087,0.764687,0.0] area_under_roc_curve 0.693293 [0.656669,0.59128,0.789953,0.495017,0.76048,0.0] area_under_roc_curve 0.716707 [0.645011,0.643455,0.806839,0.558352,0.766787,0.0] area_under_roc_curve 0.683522 [0.62709,0.576665,0.793168,0.545346,0.726455,0.0] area_under_roc_curve 0.696426 [0.636983,0.624261,0.790745,0.530657,0.740388,0.0] area_under_roc_curve 0.710291 [0.660865,0.636856,0.817819,0.571213,0.72927,0.0] area_under_roc_curve 0.723756 [0.667466,0.666484,0.785285,0.543399,0.791862,0.0] area_under_roc_curve 0.701126 [0.637697,0.639618,0.779913,0.547168,0.748799,0.0] area_under_roc_curve 0.684438 [0.637022,0.617094,0.774627,0.488149,0.736598,0.0] 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 average_cost 0 f_measure 0.408868 [0.247678,0.300254,0.57485,0,0.536885,0] f_measure 0.398844 [0.165242,0.30137,0.541033,0,0.560484,0] f_measure 0.392 [0.20178,0.293963,0.542424,0,0.529532,0] f_measure 0.411043 [0.205279,0.333333,0.569182,0,0.539235,0] f_measure 0.407866 [0.236364,0.315789,0.553991,0,0.544732,0] f_measure 0.403006 [0.185185,0.306905,0.549317,0,0.556452,0] f_measure 0.429424 [0.227273,0.351288,0.604294,0,0.546584,0] f_measure 0.4295 [0.231003,0.352332,0.558069,0,0.588235,0] f_measure 0.408912 [0.209302,0.322251,0.545732,0,0.559499,0] f_measure 0.394182 [0.198142,0.284238,0.522273,0,0.564706,0] kappa 0.254358 kappa 0.230381 kappa 0.226402 kappa 0.250094 kappa 0.248091 kappa 0.237597 kappa 0.27671 kappa 0.27337 kappa 0.245302 kappa 0.226342 kb_relative_information_score 285.11929 kb_relative_information_score 263.710413 kb_relative_information_score 259.637925 kb_relative_information_score 280.542698 kb_relative_information_score 265.852286 kb_relative_information_score 267.70674 kb_relative_information_score 298.114517 kb_relative_information_score 302.061727 kb_relative_information_score 272.598174 kb_relative_information_score 258.220624 mean_absolute_error 0.196239 mean_absolute_error 0.200573 mean_absolute_error 0.202959 mean_absolute_error 0.196658 mean_absolute_error 0.20268 mean_absolute_error 0.200254 mean_absolute_error 0.193086 mean_absolute_error 0.191623 mean_absolute_error 0.19987 mean_absolute_error 0.203344 mean_prior_absolute_error 0.25539 mean_prior_absolute_error 0.255312 mean_prior_absolute_error 0.255349 mean_prior_absolute_error 0.255349 mean_prior_absolute_error 0.255349 mean_prior_absolute_error 0.255349 mean_prior_absolute_error 0.255315 mean_prior_absolute_error 0.255315 mean_prior_absolute_error 0.255315 mean_prior_absolute_error 0.255372 number_of_instances 991 [99,210,277,109,295,1] number_of_instances 990 [99,210,277,109,295,0] number_of_instances 990 [100,209,277,109,295,0] number_of_instances 990 [100,209,277,109,295,0] number_of_instances 990 [100,209,277,109,295,0] number_of_instances 990 [100,209,277,109,295,0] number_of_instances 990 [100,210,277,108,295,0] number_of_instances 990 [100,210,277,108,295,0] number_of_instances 990 [100,210,277,108,295,0] number_of_instances 990 [100,210,276,109,295,0] precision 0.425466 [0.178571,0.322404,0.491049,0,0.678756,0] precision 0.423562 [0.115079,0.354839,0.467192,0,0.691542,0] precision 0.411632 [0.14346,0.325581,0.467363,0,0.663265,0] precision 0.427917 [0.145228,0.352941,0.504178,0,0.663366,0] precision 0.420201 [0.169565,0.331579,0.48895,0,0.658654,0] precision 0.420283 [0.133929,0.32967,0.473822,0,0.686567,0] precision 0.446518 [0.168269,0.345622,0.525333,0,0.702128,0] precision 0.451035 [0.165939,0.386364,0.479275,0,0.732323,0] precision 0.43789 [0.147541,0.348066,0.472296,0,0.728261,0] precision 0.406369 [0.143498,0.310734,0.453333,0,0.669767,0] predictive_accuracy 0.425832 predictive_accuracy 0.405051 predictive_accuracy 0.40303 predictive_accuracy 0.420202 predictive_accuracy 0.420202 predictive_accuracy 0.413131 predictive_accuracy 0.443434 predictive_accuracy 0.440404 predictive_accuracy 0.416162 predictive_accuracy 0.405051 prior_entropy 2.194893 prior_entropy 2.194893 prior_entropy 2.194893 prior_entropy 2.194893 prior_entropy 2.194893 prior_entropy 2.194893 prior_entropy 2.194893 prior_entropy 2.194893 prior_entropy 2.194893 prior_entropy 2.194893 recall 0.425832 [0.40404,0.280952,0.693141,0,0.444068,0] recall 0.405051 [0.292929,0.261905,0.642599,0,0.471186,0] recall 0.40303 [0.34,0.267943,0.646209,0,0.440678,0] recall 0.420202 [0.35,0.315789,0.65343,0,0.454237,0] recall 0.420202 [0.39,0.301435,0.638989,0,0.464407,0] recall 0.413131 [0.3,0.287081,0.65343,0,0.467797,0] recall 0.443434 [0.35,0.357143,0.711191,0,0.447458,0] recall 0.440404 [0.38,0.32381,0.66787,0,0.491525,0] recall 0.416162 [0.36,0.3,0.646209,0,0.454237,0] recall 0.405051 [0.32,0.261905,0.615942,0,0.488136,0] relative_absolute_error 0.768389 relative_absolute_error 0.7856 relative_absolute_error 0.794829 relative_absolute_error 0.770156 relative_absolute_error 0.793738 relative_absolute_error 0.784237 relative_absolute_error 0.756267 relative_absolute_error 0.750535 relative_absolute_error 0.782839 relative_absolute_error 0.796266 root_mean_prior_squared_error 0.357369 root_mean_prior_squared_error 0.357259 root_mean_prior_squared_error 0.357311 root_mean_prior_squared_error 0.357311 root_mean_prior_squared_error 0.357311 root_mean_prior_squared_error 0.357311 root_mean_prior_squared_error 0.357263 root_mean_prior_squared_error 0.357263 root_mean_prior_squared_error 0.357263 root_mean_prior_squared_error 0.357343 root_mean_squared_error 0.393434 root_mean_squared_error 0.39727 root_mean_squared_error 0.400463 root_mean_squared_error 0.394203 root_mean_squared_error 0.400103 root_mean_squared_error 0.398811 root_mean_squared_error 0.388423 root_mean_squared_error 0.383442 root_mean_squared_error 0.395452 root_mean_squared_error 0.401784 root_relative_squared_error 1.100917 root_relative_squared_error 1.111993 root_relative_squared_error 1.120766 root_relative_squared_error 1.103247 root_relative_squared_error 1.119759 root_relative_squared_error 1.116143 root_relative_squared_error 1.087218 root_relative_squared_error 1.073277 root_relative_squared_error 1.106893 root_relative_squared_error 1.124364 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