8868644 710 William Raynaut 9960 Supervised Classification 7793 weka.kf.ReplaceMissingValues-Standardize-NaiveBayes(1) 6833248 mDataExp Modelage study_107 1497 wall-robot-navigation https://www.openml.org/data/download/1592289/phpVeNa5j -1 18653115 description https://api.openml.org/data/download/18653115/description6179028812839031405.xml -1 18653116 predictions https://api.openml.org/data/download/18653116/predictions9083218277893555128.arff area_under_roc_curve 0.784305 [0.734051,0.787352,0.946408,0.846353] average_cost 0 f_measure 0.52983 [0.527919,0.537923,0.622851,0.47745] kappa 0.360112 kb_relative_information_score 2261.177754 mean_absolute_error 0.236434 mean_prior_absolute_error 0.331238 number_of_instances 5456 [2205,2097,328,826] precision 0.626543 [0.697987,0.692712,0.465961,0.331606] predictive_accuracy 0.526026 prior_entropy 1.71511 recall 0.526026 [0.42449,0.439676,0.939024,0.8523] relative_absolute_error 0.713789 root_mean_prior_squared_error 0.406944 root_mean_squared_error 0.437121 root_relative_squared_error 1.074158 total_cost 0 area_under_roc_curve 0.766995 [0.713623,0.772151,0.920934,0.835681] area_under_roc_curve 0.764027 [0.726481,0.745961,0.904838,0.854815] area_under_roc_curve 0.773385 [0.734056,0.763202,0.930829,0.840797] area_under_roc_curve 0.805219 [0.748752,0.822215,0.921939,0.865479] area_under_roc_curve 0.796067 [0.733171,0.806753,0.949554,0.874717] area_under_roc_curve 0.773854 [0.715881,0.786671,0.938153,0.829764] area_under_roc_curve 0.782099 [0.736979,0.781549,0.973532,0.829278] area_under_roc_curve 0.793254 [0.744602,0.796117,0.983705,0.842161] area_under_roc_curve 0.803521 [0.755991,0.811582,0.97381,0.842543] area_under_roc_curve 0.787028 [0.733248,0.791887,0.969016,0.846349] 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 0.496881 [0.490358,0.495522,0.591837,0.47973] f_measure 0.506666 [0.508571,0.502924,0.583333,0.480263] f_measure 0.526552 [0.522727,0.532951,0.625,0.481356] f_measure 0.55839 [0.548571,0.592375,0.571429,0.493243] f_measure 0.552186 [0.510264,0.609164,0.613861,0.494624] f_measure 0.504162 [0.513812,0.49848,0.571429,0.466216] f_measure 0.558628 [0.566845,0.570605,0.633663,0.477612] f_measure 0.540611 [0.536313,0.541667,0.711111,0.48366] f_measure 0.519328 [0.533333,0.51497,0.653465,0.43871] f_measure 0.532107 [0.547009,0.511628,0.6875,0.481605] kappa 0.322418 kappa 0.334759 kappa 0.355346 kappa 0.394839 kappa 0.387172 kappa 0.330517 kappa 0.386658 kappa 0.375273 kappa 0.348613 kappa 0.366414 kb_relative_information_score 210.084214 kb_relative_information_score 213.963879 kb_relative_information_score 217.049152 kb_relative_information_score 239.856619 kb_relative_information_score 239.587132 kb_relative_information_score 211.844383 kb_relative_information_score 234.814313 kb_relative_information_score 233.800014 kb_relative_information_score 226.853216 kb_relative_information_score 233.324831 mean_absolute_error 0.246338 mean_absolute_error 0.244165 mean_absolute_error 0.243056 mean_absolute_error 0.226324 mean_absolute_error 0.227413 mean_absolute_error 0.246034 mean_absolute_error 0.229311 mean_absolute_error 0.232517 mean_absolute_error 0.235825 mean_absolute_error 0.233333 mean_prior_absolute_error 0.331143 mean_prior_absolute_error 0.331143 mean_prior_absolute_error 0.331375 mean_prior_absolute_error 0.331375 mean_prior_absolute_error 0.331375 mean_prior_absolute_error 0.331375 mean_prior_absolute_error 0.331121 mean_prior_absolute_error 0.331102 mean_prior_absolute_error 0.331186 mean_prior_absolute_error 0.331186 number_of_instances 546 [221,210,33,82] number_of_instances 546 [221,210,33,82] number_of_instances 546 [220,210,33,83] number_of_instances 546 [220,210,33,83] number_of_instances 546 [220,210,33,83] number_of_instances 546 [220,210,33,83] number_of_instances 545 [220,210,32,83] number_of_instances 545 [221,209,32,83] number_of_instances 545 [221,209,33,82] number_of_instances 545 [221,209,33,82] precision 0.585866 [0.626761,0.664,0.446154,0.331776] precision 0.606084 [0.689922,0.651515,0.444444,0.328829] precision 0.617854 [0.69697,0.669065,0.47619,0.334906] precision 0.671366 [0.738462,0.770992,0.416667,0.342723] precision 0.640726 [0.719008,0.701863,0.455882,0.352041] precision 0.603347 [0.65493,0.689076,0.416667,0.323944] precision 0.63621 [0.688312,0.722628,0.463768,0.345946] precision 0.641862 [0.70073,0.716535,0.551724,0.331839] precision 0.638955 [0.741935,0.688,0.485294,0.298246] precision 0.631064 [0.738462,0.651852,0.52381,0.331797] predictive_accuracy 0.498168 predictive_accuracy 0.505495 predictive_accuracy 0.52381 predictive_accuracy 0.549451 predictive_accuracy 0.549451 predictive_accuracy 0.501832 predictive_accuracy 0.552294 predictive_accuracy 0.537615 predictive_accuracy 0.511927 predictive_accuracy 0.530275 prior_entropy 1.71511 prior_entropy 1.71511 prior_entropy 1.71511 prior_entropy 1.71511 prior_entropy 1.71511 prior_entropy 1.71511 prior_entropy 1.71511 prior_entropy 1.71511 prior_entropy 1.71511 prior_entropy 1.71511 recall 0.498168 [0.402715,0.395238,0.878788,0.865854] recall 0.505495 [0.402715,0.409524,0.848485,0.890244] recall 0.52381 [0.418182,0.442857,0.909091,0.855422] recall 0.549451 [0.436364,0.480952,0.909091,0.879518] recall 0.549451 [0.395455,0.538095,0.939394,0.831325] recall 0.501832 [0.422727,0.390476,0.909091,0.831325] recall 0.552294 [0.481818,0.471429,1,0.771084] recall 0.537615 [0.434389,0.435407,1,0.891566] recall 0.511927 [0.41629,0.411483,1,0.829268] recall 0.530275 [0.434389,0.421053,1,0.878049] relative_absolute_error 0.743901 relative_absolute_error 0.737338 relative_absolute_error 0.733478 relative_absolute_error 0.682985 relative_absolute_error 0.68627 relative_absolute_error 0.742466 relative_absolute_error 0.692529 relative_absolute_error 0.702252 relative_absolute_error 0.712063 relative_absolute_error 0.704538 root_mean_prior_squared_error 0.406827 root_mean_prior_squared_error 0.406827 root_mean_prior_squared_error 0.407111 root_mean_prior_squared_error 0.407111 root_mean_prior_squared_error 0.407111 root_mean_prior_squared_error 0.407111 root_mean_prior_squared_error 0.406799 root_mean_prior_squared_error 0.406777 root_mean_prior_squared_error 0.40688 root_mean_prior_squared_error 0.40688 root_mean_squared_error 0.4537 root_mean_squared_error 0.447847 root_mean_squared_error 0.440433 root_mean_squared_error 0.425456 root_mean_squared_error 0.428364 root_mean_squared_error 0.444035 root_mean_squared_error 0.429606 root_mean_squared_error 0.433308 root_mean_squared_error 0.435787 root_mean_squared_error 0.431774 root_relative_squared_error 1.115215 root_relative_squared_error 1.100828 root_relative_squared_error 1.08185 root_relative_squared_error 1.045061 root_relative_squared_error 1.052203 root_relative_squared_error 1.090696 root_relative_squared_error 1.056065 root_relative_squared_error 1.065224 root_relative_squared_error 1.071047 root_relative_squared_error 1.061183 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