3963816 27 Bernd Bischl 146567 Supervised Classification predictive_accuracy 4840 mlr.classif.rpart(24) 24109 xval 0 4840 openml.seed 1 4840 openml.kind Mersenne-Twister 4840 openml.normal.kind Inversion 4840 useR17 4537 GesturePhaseSegmentationRAW https://www.openml.org/data/download/1798764/php8F3DIv -1 8899250 description https://api.openml.org/data/download/8899250/description62ce227f7079.xml -1 8899251 predictions https://api.openml.org/data/download/8899251/predictions62ce6efedf13.arff area_under_roc_curve 0.715748 [0.610427,0.613125,0.867058,0.5,0.761836,0.5] average_cost 0 f_measure 0.525545 [0.321275,0.387609,0.768577,0,0.658362,0] kappa 0.427405 kb_relative_information_score 4438.826996 mean_absolute_error 0.14076 mean_prior_absolute_error 0.255341 number_of_instances 9901 [998,2096,2769,1087,2950,1] precision 0.493254 [0.413902,0.418232,0.662484,0,0.596477,0] predictive_accuracy 0.577719 prior_entropy 2.194893 recall 0.577719 [0.262525,0.361164,0.915132,0,0.734576,0] relative_absolute_error 0.551263 root_mean_prior_squared_error 0.357301 root_mean_squared_error 0.37518 root_relative_squared_error 1.05004 total_cost 0 usercpu_time_millis 1.314 usercpu_time_millis_testing 0.0250000000000004 usercpu_time_millis_training 1.289 area_under_roc_curve 0.713827 [0.585309,0.634879,0.858157,0.5,0.757367,0.5] area_under_roc_curve 0.720781 [0.625701,0.613736,0.883059,0.5,0.75809,0.0] area_under_roc_curve 0.710616 [0.619213,0.587169,0.857593,0.5,0.76887,0.0] area_under_roc_curve 0.724187 [0.629831,0.621605,0.878034,0.5,0.767224,0.0] area_under_roc_curve 0.713546 [0.605337,0.594986,0.880747,0.5,0.756127,0.0] area_under_roc_curve 0.718293 [0.605281,0.626895,0.875839,0.5,0.754079,0.0] area_under_roc_curve 0.7045 [0.58691,0.602289,0.858697,0.5,0.747202,0.0] area_under_roc_curve 0.722368 [0.606404,0.625183,0.869229,0.5,0.774369,0.0] area_under_roc_curve 0.721121 [0.635337,0.623443,0.854489,0.5,0.775454,0.0] area_under_roc_curve 0.70823 [0.604719,0.600916,0.854738,0.5,0.759578,0.0] 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 0.52165 [0.277372,0.424552,0.750365,0,0.652504,0] f_measure 0.533596 [0.351515,0.390123,0.787879,0,0.655226,0] f_measure 0.516592 [0.339394,0.340426,0.757991,0,0.665676,0] f_measure 0.541107 [0.371795,0.40201,0.790551,0,0.662757,0] f_measure 0.520564 [0.3125,0.354497,0.788906,0,0.649123,0] f_measure 0.529149 [0.305882,0.41039,0.780488,0,0.648485,0] f_measure 0.509063 [0.265896,0.371287,0.758725,0,0.641509,0] f_measure 0.533431 [0.309524,0.407507,0.768311,0,0.673716,0] f_measure 0.536293 [0.373494,0.405941,0.75188,0,0.678179,0] f_measure 0.514062 [0.304094,0.367347,0.752656,0,0.656394,0] kappa 0.425976 kappa 0.436984 kappa 0.417185 kappa 0.445784 kappa 0.423285 kappa 0.432259 kappa 0.40244 kappa 0.440725 kappa 0.438303 kappa 0.411171 kb_relative_information_score 443.105598 kb_relative_information_score 452.193781 kb_relative_information_score 435.861915 kb_relative_information_score 460.434158 kb_relative_information_score 439.974647 kb_relative_information_score 447.447779 kb_relative_information_score 421.322361 kb_relative_information_score 454.146771 kb_relative_information_score 454.525733 kb_relative_information_score 429.814254 mean_absolute_error 0.140262 mean_absolute_error 0.138721 mean_absolute_error 0.143098 mean_absolute_error 0.136027 mean_absolute_error 0.141414 mean_absolute_error 0.139731 mean_absolute_error 0.147475 mean_absolute_error 0.137374 mean_absolute_error 0.138384 mean_absolute_error 0.145118 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 0.499017 [0.5,0.458564,0.629902,0,0.590659,0] precision 0.500672 [0.439394,0.405128,0.678851,0,0.606936,0] precision 0.484339 [0.430769,0.383234,0.655263,0,0.592593,0] precision 0.511853 [0.517857,0.42328,0.701117,0,0.583979,0] precision 0.488387 [0.416667,0.39645,0.688172,0,0.570694,0] precision 0.495977 [0.371429,0.448864,0.675462,0,0.586301,0] precision 0.475208 [0.315068,0.386598,0.65445,0,0.59824,0] precision 0.502025 [0.382353,0.466258,0.655612,0,0.607629,0] precision 0.505584 [0.469697,0.42268,0.64433,0,0.631579,0] precision 0.480719 [0.366197,0.395604,0.64752,0,0.601695,0] predictive_accuracy 0.579213 predictive_accuracy 0.583838 predictive_accuracy 0.570707 predictive_accuracy 0.591919 predictive_accuracy 0.575758 predictive_accuracy 0.580808 predictive_accuracy 0.557576 predictive_accuracy 0.587879 predictive_accuracy 0.584848 predictive_accuracy 0.564646 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 0.579213 [0.191919,0.395238,0.927798,0,0.728814,0] recall 0.583838 [0.292929,0.37619,0.938628,0,0.711864,0] recall 0.570707 [0.28,0.30622,0.898917,0,0.759322,0] recall 0.591919 [0.29,0.382775,0.906137,0,0.766102,0] recall 0.575758 [0.25,0.320574,0.924188,0,0.752542,0] recall 0.580808 [0.26,0.37799,0.924188,0,0.725424,0] recall 0.557576 [0.23,0.357143,0.902527,0,0.691525,0] recall 0.587879 [0.26,0.361905,0.927798,0,0.755932,0] recall 0.584848 [0.31,0.390476,0.902527,0,0.732203,0] recall 0.564646 [0.26,0.342857,0.898551,0,0.722034,0] relative_absolute_error 0.549208 relative_absolute_error 0.543338 relative_absolute_error 0.560401 relative_absolute_error 0.53271 relative_absolute_error 0.553808 relative_absolute_error 0.547215 relative_absolute_error 0.57762 relative_absolute_error 0.538057 relative_absolute_error 0.542013 relative_absolute_error 0.568261 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 0.374516 root_mean_squared_error 0.372452 root_mean_squared_error 0.378282 root_mean_squared_error 0.368818 root_mean_squared_error 0.376051 root_mean_squared_error 0.373806 root_mean_squared_error 0.384024 root_mean_squared_error 0.37064 root_mean_squared_error 0.372 root_mean_squared_error 0.380943 root_relative_squared_error 1.047981 root_relative_squared_error 1.042526 root_relative_squared_error 1.058691 root_relative_squared_error 1.032204 root_relative_squared_error 1.052445 root_relative_squared_error 1.046162 root_relative_squared_error 1.074906 root_relative_squared_error 1.037441 root_relative_squared_error 1.041248 root_relative_squared_error 1.066043 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