117396 2 Joaquin Vanschoren 14 Supervised Classification 407 weka.AdaBoostM1_LADTree(2) 637 weka.classifiers.meta.AdaBoostM1 -- -P 100 -S 1 -I 40 -W weka.classifiers.trees.LADTree -- -B 10 I 40 407 P 100 407 S 1 407 W weka.classifiers.trees.LADTree 407 B 10 408 14 mfeat-fourier https://www.openml.org/data/download/14/dataset_14_mfeat-fourier.arff -1 362686 description https://api.openml.org/data/download/362686/weka_generated_run568520970825400887.xml -1 362689 model_readable https://api.openml.org/data/download/362689/WekaModel_weka.classifiers.meta.AdaBoostM13061453758984819765.model -1 362688 model_serialized https://api.openml.org/data/download/362688/WekaSerialized_weka.classifiers.meta.AdaBoostM15915142592880098381.model -1 362687 predictions https://api.openml.org/data/download/362687/weka_generated_predictions1255191850057206969.arff area_under_roc_curve 0.962255 [0.999989,0.919351,0.980456,0.976978,0.945275,0.980289,0.935668,0.977133,0.988299,0.919114] average_cost 0 build_cpu_time 64.3622 build_memory 677681160 f_measure 0.765471 [0.99005,0.671916,0.8933,0.78392,0.699229,0.822695,0.527919,0.851064,0.921182,0.493438] kappa 0.743333 kb_relative_information_score 1185.432687 mean_absolute_error 0.107641 mean_prior_absolute_error 0.18 number_of_instances 2000 [200,200,200,200,200,200,200,200,200,200] os_information [Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64] precision 0.763712 [0.985149,0.707182,0.8867,0.787879,0.719577,0.780269,0.536082,0.807175,0.907767,0.519337] predictive_accuracy 0.769 prior_entropy 3.321928 recall 0.769 [0.995,0.64,0.9,0.78,0.68,0.87,0.52,0.9,0.935,0.47] relative_absolute_error 0.598004 root_mean_prior_squared_error 0.3 root_mean_squared_error 0.201437 root_relative_squared_error 0.671456 scimark_benchmark 913.337166 [555.137066274869, 1007.8216252346145, 481.2827140100982, 858.9252820057408, 1663.5191428647508] total_cost 0 area_under_roc_curve 0.966347 [1,0.948889,0.958889,0.990278,0.945972,0.998194,0.94,0.987083,0.973056,0.921111] area_under_roc_curve 0.955792 [1,0.945972,0.965833,0.935,0.866667,0.981944,0.964583,0.955556,1,0.942361] area_under_roc_curve 0.956403 [1,0.919444,0.977917,0.961389,0.9675,0.9425,0.90625,0.944722,0.999722,0.944583] area_under_roc_curve 0.95875 [1,0.90125,0.964722,0.99,0.967639,0.960278,0.945,0.961389,0.988056,0.909167] area_under_roc_curve 0.950736 [1,0.90125,0.954444,0.958611,0.928889,0.97875,0.938889,0.973333,1,0.873194] area_under_roc_curve 0.971792 [1,0.912778,0.998611,0.976944,0.956111,0.988056,0.951944,0.99125,0.991111,0.951111] area_under_roc_curve 0.972556 [1,0.9625,0.990278,0.991389,0.980556,0.984444,0.942361,0.986667,0.996389,0.890972] area_under_roc_curve 0.966917 [1,0.892639,0.998472,0.985556,0.955833,0.992778,0.932083,0.99,0.960556,0.96125] area_under_roc_curve 0.965347 [1,0.907222,0.999167,0.995278,0.957361,0.988056,0.93625,0.990417,1,0.879722] area_under_roc_curve 0.964417 [1,0.926944,0.986944,0.978611,0.929583,0.994722,0.920833,0.992639,0.975139,0.93875] 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 build_cpu_time 55.541 build_cpu_time 54.653 build_cpu_time 66.304 build_cpu_time 82.554 build_cpu_time 76.582 build_cpu_time 60.862 build_cpu_time 59.063 build_cpu_time 65.148 build_cpu_time 75.856 build_cpu_time 47.059 build_memory 874488192 build_memory 940890936 build_memory 906180440 build_memory 935462544 build_memory 930273256 build_memory 950746536 build_memory 923161848 build_memory 63992960 build_memory 116602584 build_memory 135012304 f_measure 0.749142 [0.97561,0.578947,0.829268,0.761905,0.697674,0.95,0.457143,0.85,0.878049,0.512821] f_measure 0.774195 [1,0.780488,0.864865,0.820513,0.571429,0.772727,0.516129,0.844444,0.97561,0.595745] f_measure 0.763937 [0.974359,0.7,0.923077,0.756757,0.682927,0.755556,0.571429,0.789474,0.930233,0.555556] f_measure 0.755232 [0.97561,0.727273,0.923077,0.844444,0.727273,0.810811,0.4,0.837209,0.878049,0.428571] f_measure 0.708444 [1,0.55814,0.894737,0.714286,0.514286,0.708333,0.5,0.761905,0.97561,0.457143] f_measure 0.774491 [1,0.647059,0.926829,0.7,0.682927,0.837209,0.622222,0.883721,0.974359,0.470588] f_measure 0.751926 [1,0.764706,0.809524,0.864865,0.8,0.782609,0.421053,0.790698,0.926829,0.358974] f_measure 0.769262 [1,0.619048,0.97561,0.7,0.702703,0.820513,0.585366,0.904762,0.820513,0.564103] f_measure 0.81466 [1,0.647059,0.904762,0.878049,0.810811,0.904762,0.577778,0.909091,1,0.514286] f_measure 0.787706 [0.97561,0.714286,0.883721,0.8,0.777778,0.923077,0.565217,0.930233,0.85,0.457143] kappa 0.727778 kappa 0.755556 kappa 0.738889 kappa 0.733333 kappa 0.683333 kappa 0.755556 kappa 0.727778 kappa 0.744444 kappa 0.8 kappa 0.766667 kb_relative_information_score 116.069322 kb_relative_information_score 114.922773 kb_relative_information_score 116.633059 kb_relative_information_score 119.850317 kb_relative_information_score 112.27671 kb_relative_information_score 121.252677 kb_relative_information_score 119.1367 kb_relative_information_score 118.415489 kb_relative_information_score 128.287383 kb_relative_information_score 118.588257 mean_absolute_error 0.109248 mean_absolute_error 0.112621 mean_absolute_error 0.110529 mean_absolute_error 0.104325 mean_absolute_error 0.112259 mean_absolute_error 0.105058 mean_absolute_error 0.107188 mean_absolute_error 0.108466 mean_absolute_error 0.098901 mean_absolute_error 0.107812 mean_prior_absolute_error 0.18 mean_prior_absolute_error 0.18 mean_prior_absolute_error 0.18 mean_prior_absolute_error 0.18 mean_prior_absolute_error 0.18 mean_prior_absolute_error 0.18 mean_prior_absolute_error 0.18 mean_prior_absolute_error 0.18 mean_prior_absolute_error 0.18 mean_prior_absolute_error 0.18 number_of_instances 200 [20,20,20,20,20,20,20,20,20,20] number_of_instances 200 [20,20,20,20,20,20,20,20,20,20] number_of_instances 200 [20,20,20,20,20,20,20,20,20,20] number_of_instances 200 [20,20,20,20,20,20,20,20,20,20] number_of_instances 200 [20,20,20,20,20,20,20,20,20,20] number_of_instances 200 [20,20,20,20,20,20,20,20,20,20] number_of_instances 200 [20,20,20,20,20,20,20,20,20,20] number_of_instances 200 [20,20,20,20,20,20,20,20,20,20] number_of_instances 200 [20,20,20,20,20,20,20,20,20,20] number_of_instances 200 [20,20,20,20,20,20,20,20,20,20] precision 0.746925 [0.952381,0.611111,0.809524,0.727273,0.652174,0.95,0.533333,0.85,0.857143,0.526316] precision 0.787836 [1,0.761905,0.941176,0.842105,0.666667,0.708333,0.727273,0.76,0.952381,0.518519] precision 0.769092 [1,0.7,0.947368,0.823529,0.666667,0.68,0.545455,0.833333,0.869565,0.625] precision 0.764736 [0.952381,0.923077,0.947368,0.76,0.666667,0.882353,0.466667,0.782609,0.857143,0.409091] precision 0.713063 [1,0.521739,0.944444,0.681818,0.6,0.607143,0.5625,0.727273,0.952381,0.533333] precision 0.779727 [1,0.785714,0.904762,0.7,0.666667,0.782609,0.56,0.826087,1,0.571429] precision 0.759154 [1,0.928571,0.772727,0.941176,0.8,0.692308,0.444444,0.73913,0.904762,0.368421] precision 0.770622 [1,0.590909,0.952381,0.7,0.764706,0.842105,0.571429,0.863636,0.842105,0.578947] precision 0.820582 [1,0.785714,0.863636,0.857143,0.882353,0.863636,0.52,0.833333,1,0.6] precision 0.796889 [0.952381,0.681818,0.826087,0.933333,0.875,0.947368,0.5,0.869565,0.85,0.533333] predictive_accuracy 0.755 predictive_accuracy 0.78 predictive_accuracy 0.765 predictive_accuracy 0.76 predictive_accuracy 0.715 predictive_accuracy 0.78 predictive_accuracy 0.755 predictive_accuracy 0.77 predictive_accuracy 0.82 predictive_accuracy 0.79 prior_entropy 3.321928 prior_entropy 3.321928 prior_entropy 3.321928 prior_entropy 3.321928 prior_entropy 3.321928 prior_entropy 3.321928 prior_entropy 3.321928 prior_entropy 3.321928 prior_entropy 3.321928 prior_entropy 3.321928 recall 0.755 [1,0.55,0.85,0.8,0.75,0.95,0.4,0.85,0.9,0.5] recall 0.78 [1,0.8,0.8,0.8,0.5,0.85,0.4,0.95,1,0.7] recall 0.765 [0.95,0.7,0.9,0.7,0.7,0.85,0.6,0.75,1,0.5] recall 0.76 [1,0.6,0.9,0.95,0.8,0.75,0.35,0.9,0.9,0.45] recall 0.715 [1,0.6,0.85,0.75,0.45,0.85,0.45,0.8,1,0.4] recall 0.78 [1,0.55,0.95,0.7,0.7,0.9,0.7,0.95,0.95,0.4] recall 0.755 [1,0.65,0.85,0.8,0.8,0.9,0.4,0.85,0.95,0.35] recall 0.77 [1,0.65,1,0.7,0.65,0.8,0.6,0.95,0.8,0.55] recall 0.82 [1,0.55,0.95,0.9,0.75,0.95,0.65,1,1,0.45] recall 0.79 [1,0.75,0.95,0.7,0.7,0.9,0.65,1,0.85,0.4] relative_absolute_error 0.606936 relative_absolute_error 0.625673 relative_absolute_error 0.614049 relative_absolute_error 0.579582 relative_absolute_error 0.62366 relative_absolute_error 0.583656 relative_absolute_error 0.595487 relative_absolute_error 0.60259 relative_absolute_error 0.549448 relative_absolute_error 0.598957 root_mean_prior_squared_error 0.3 root_mean_prior_squared_error 0.3 root_mean_prior_squared_error 0.3 root_mean_prior_squared_error 0.3 root_mean_prior_squared_error 0.3 root_mean_prior_squared_error 0.3 root_mean_prior_squared_error 0.3 root_mean_prior_squared_error 0.3 root_mean_prior_squared_error 0.3 root_mean_prior_squared_error 0.3 root_mean_squared_error 0.203408 root_mean_squared_error 0.206866 root_mean_squared_error 0.204638 root_mean_squared_error 0.200403 root_mean_squared_error 0.210795 root_mean_squared_error 0.196761 root_mean_squared_error 0.199487 root_mean_squared_error 0.201538 root_mean_squared_error 0.189274 root_mean_squared_error 0.200438 root_relative_squared_error 0.678027 root_relative_squared_error 0.689554 root_relative_squared_error 0.682126 root_relative_squared_error 0.668009 root_relative_squared_error 0.702651 root_relative_squared_error 0.65587 root_relative_squared_error 0.664956 root_relative_squared_error 0.671794 root_relative_squared_error 0.630913 root_relative_squared_error 0.668126 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