8887204 710 William Raynaut 2074 Supervised Classification 8311 weka.kf.HoeffdingTree(1) 6835536 mDataExp Modelage study_107 182 satimage https://www.openml.org/data/download/3619/dataset_186_satimage.arff -1 18690237 description https://api.openml.org/data/download/18690237/description1914584397102119544.xml -1 18690239 predictions https://api.openml.org/data/download/18690239/predictions101198795771995953.arff area_under_roc_curve 0.919234 [0.922604,0.960447,0.95979,0.848964,0.889679,0.903113] average_cost 0 f_measure 0.8037 [0.846897,0.934831,0.893648,0.554184,0.637824,0.799014] kappa 0.750193 kb_relative_information_score 4945.499095 mean_absolute_error 0.068278 mean_prior_absolute_error 0.270121 number_of_instances 6430 [1531,703,1356,625,707,1508] precision 0.819374 [0.897005,0.987342,0.89497,0.484994,0.566411,0.851463] predictive_accuracy 0.795801 prior_entropy 2.483556 recall 0.795801 [0.80209,0.887624,0.89233,0.6464,0.729844,0.752653] relative_absolute_error 0.25277 root_mean_prior_squared_error 0.367501 root_mean_squared_error 0.255534 root_relative_squared_error 0.695329 total_cost 0 area_under_roc_curve 0.9196 [0.918901,0.985615,0.968638,0.857594,0.879033,0.890217] area_under_roc_curve 0.932699 [0.931646,0.956943,0.967775,0.887466,0.909873,0.920388] area_under_roc_curve 0.921704 [0.936248,0.957143,0.968424,0.850328,0.91292,0.882679] area_under_roc_curve 0.917213 [0.915006,0.971329,0.958516,0.837575,0.877105,0.909519] area_under_roc_curve 0.913316 [0.920375,0.968412,0.953704,0.815038,0.878718,0.901786] area_under_roc_curve 0.91424 [0.928299,0.949913,0.945239,0.849064,0.892729,0.892525] area_under_roc_curve 0.928147 [0.919014,0.942757,0.96953,0.904489,0.877733,0.926775] area_under_roc_curve 0.92038 [0.937328,0.964432,0.952953,0.81664,0.919174,0.89616] area_under_roc_curve 0.900054 [0.879919,0.921993,0.952547,0.856407,0.864695,0.89739] area_under_roc_curve 0.925072 [0.938996,0.985915,0.961053,0.814558,0.885465,0.913685] 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 0.799269 [0.843206,0.939394,0.884892,0.565517,0.630303,0.78853] f_measure 0.818135 [0.848276,0.933333,0.921933,0.588235,0.634146,0.821918] f_measure 0.811833 [0.861111,0.947368,0.905797,0.554839,0.683544,0.782609] f_measure 0.80455 [0.849315,0.955224,0.889734,0.543046,0.636364,0.80137] f_measure 0.792709 [0.825175,0.919708,0.873134,0.557823,0.607143,0.814286] f_measure 0.809855 [0.870748,0.947368,0.888889,0.56962,0.650307,0.787004] f_measure 0.822726 [0.848485,0.923077,0.921933,0.619718,0.6625,0.819444] f_measure 0.801301 [0.85034,0.941176,0.872727,0.521739,0.692308,0.787456] f_measure 0.77136 [0.824373,0.866142,0.880866,0.516556,0.563218,0.776978] f_measure 0.805115 [0.846416,0.971014,0.897059,0.503704,0.628205,0.808219] kappa 0.745197 kappa 0.769391 kappa 0.760657 kappa 0.750564 kappa 0.736193 kappa 0.755289 kappa 0.774963 kappa 0.750095 kappa 0.705993 kappa 0.753822 kb_relative_information_score 493.151968 kb_relative_information_score 506.558987 kb_relative_information_score 502.271606 kb_relative_information_score 497.460639 kb_relative_information_score 485.729246 kb_relative_information_score 499.409067 kb_relative_information_score 507.945242 kb_relative_information_score 494.358274 kb_relative_information_score 466.097181 kb_relative_information_score 492.516886 mean_absolute_error 0.069805 mean_absolute_error 0.062512 mean_absolute_error 0.065687 mean_absolute_error 0.067033 mean_absolute_error 0.072706 mean_absolute_error 0.066794 mean_absolute_error 0.061792 mean_absolute_error 0.068206 mean_absolute_error 0.080239 mean_absolute_error 0.06801 mean_prior_absolute_error 0.270097 mean_prior_absolute_error 0.270097 mean_prior_absolute_error 0.270149 mean_prior_absolute_error 0.270149 mean_prior_absolute_error 0.270149 mean_prior_absolute_error 0.270076 mean_prior_absolute_error 0.27009 mean_prior_absolute_error 0.270155 mean_prior_absolute_error 0.270155 mean_prior_absolute_error 0.27009 number_of_instances 643 [153,70,136,63,70,151] number_of_instances 643 [153,70,136,63,70,151] number_of_instances 643 [153,70,135,63,71,151] number_of_instances 643 [153,70,135,63,71,151] number_of_instances 643 [153,70,135,63,71,151] number_of_instances 643 [154,70,135,62,71,151] number_of_instances 643 [153,70,136,62,71,151] number_of_instances 643 [153,71,136,62,71,150] number_of_instances 643 [153,71,136,62,71,150] number_of_instances 643 [153,71,136,62,70,151] precision 0.817327 [0.902985,1,0.866197,0.5,0.547368,0.859375] precision 0.830113 [0.89781,0.969231,0.932331,0.547945,0.553191,0.851064] precision 0.830782 [0.918519,1,0.886525,0.467391,0.62069,0.864] precision 0.818746 [0.892086,1,0.914062,0.465909,0.590361,0.829787] precision 0.811581 [0.887218,0.940299,0.879699,0.488095,0.525773,0.883721] precision 0.833091 [0.914286,1,0.920635,0.46875,0.576087,0.865079] precision 0.835321 [0.875,1,0.932331,0.55,0.595506,0.861314] precision 0.810502 [0.886525,0.984615,0.863309,0.473684,0.635294,0.824818] precision 0.800243 [0.912698,0.982143,0.865248,0.438202,0.475728,0.84375] precision 0.814376 [0.885714,1,0.897059,0.465753,0.569767,0.836879] predictive_accuracy 0.791602 predictive_accuracy 0.81182 predictive_accuracy 0.804044 predictive_accuracy 0.796267 predictive_accuracy 0.783826 predictive_accuracy 0.799378 predictive_accuracy 0.816485 predictive_accuracy 0.796267 predictive_accuracy 0.758942 predictive_accuracy 0.799378 prior_entropy 2.483556 prior_entropy 2.483556 prior_entropy 2.483556 prior_entropy 2.483556 prior_entropy 2.483556 prior_entropy 2.483556 prior_entropy 2.483556 prior_entropy 2.483556 prior_entropy 2.483556 prior_entropy 2.483556 recall 0.791602 [0.79085,0.885714,0.904412,0.650794,0.742857,0.728477] recall 0.81182 [0.803922,0.9,0.911765,0.634921,0.742857,0.794702] recall 0.804044 [0.810458,0.9,0.925926,0.68254,0.760563,0.715232] recall 0.796267 [0.810458,0.914286,0.866667,0.650794,0.690141,0.774834] recall 0.783826 [0.771242,0.9,0.866667,0.650794,0.71831,0.754967] recall 0.799378 [0.831169,0.9,0.859259,0.725806,0.746479,0.721854] recall 0.816485 [0.823529,0.857143,0.911765,0.709677,0.746479,0.781457] recall 0.796267 [0.816993,0.901408,0.882353,0.580645,0.760563,0.753333] recall 0.758942 [0.751634,0.774648,0.897059,0.629032,0.690141,0.72] recall 0.799378 [0.810458,0.943662,0.897059,0.548387,0.7,0.781457] relative_absolute_error 0.258445 relative_absolute_error 0.231442 relative_absolute_error 0.24315 relative_absolute_error 0.248132 relative_absolute_error 0.269133 relative_absolute_error 0.247317 relative_absolute_error 0.228781 relative_absolute_error 0.252471 relative_absolute_error 0.29701 relative_absolute_error 0.251806 root_mean_prior_squared_error 0.367468 root_mean_prior_squared_error 0.367468 root_mean_prior_squared_error 0.367539 root_mean_prior_squared_error 0.367539 root_mean_prior_squared_error 0.367539 root_mean_prior_squared_error 0.36744 root_mean_prior_squared_error 0.367459 root_mean_prior_squared_error 0.367547 root_mean_prior_squared_error 0.367547 root_mean_prior_squared_error 0.36746 root_mean_squared_error 0.258115 root_mean_squared_error 0.244332 root_mean_squared_error 0.250922 root_mean_squared_error 0.251881 root_mean_squared_error 0.263326 root_mean_squared_error 0.253081 root_mean_squared_error 0.242454 root_mean_squared_error 0.255626 root_mean_squared_error 0.279155 root_mean_squared_error 0.254563 root_relative_squared_error 0.702414 root_relative_squared_error 0.664906 root_relative_squared_error 0.682709 root_relative_squared_error 0.685316 root_relative_squared_error 0.716457 root_relative_squared_error 0.688767 root_relative_squared_error 0.659813 root_relative_squared_error 0.695491 root_relative_squared_error 0.759507 root_relative_squared_error 0.692765 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