1810341 1 Jan van Rijn 3481 Supervised Classification 2094 weka.AdaBoostM1_REPTree(4) 2905 weka.classifiers.meta.AdaBoostM1 -- -P 100 -S 1 -I 10 -W weka.classifiers.trees.REPTree -- -M 2 -V 0.001 -N 3 -S 1 -L -1 -I 0.0 M 2 1724 V 0.001 1724 N 3 1724 S 1 1724 L -1 1724 I 0.0 1724 P 100 2094 S 1 2094 I 10 2094 W weka.classifiers.trees.REPTree 2094 weka weka_3.7.13 300 isolet https://www.openml.org/data/download/52405/phpB0xrNj -1 4534714 description https://api.openml.org/data/download/4534714/weka_generated_run4892264134211173854.xml -1 4534716 model_readable https://api.openml.org/data/download/4534716/WekaModel_weka.classifiers.meta.AdaBoostM11268927271034724432.model -1 4534715 model_serialized https://api.openml.org/data/download/4534715/WekaSerialized_weka.classifiers.meta.AdaBoostM1655363973657991001.model -1 4534717 predictions https://api.openml.org/data/download/4534717/weka_generated_predictions8302854534553286324.arff area_under_roc_curve 0.996556 [0.998618,0.994223,0.998948,0.993008,0.9921,0.99545,0.997603,0.995619,0.99783,0.998189,0.997304,0.999244,0.991703,0.994537,0.99955,0.993017,0.999696,0.999458,0.99842,0.991998,0.998512,0.992919,0.998696,0.998512,0.999916,0.995355] average_cost 0 f_measure 0.920823 [0.906149,0.839117,0.973333,0.886288,0.823932,0.938436,0.902479,0.978151,0.953642,0.931323,0.917492,0.964824,0.87,0.864775,0.966777,0.85473,0.951586,0.968386,0.966443,0.878536,0.945092,0.830508,0.935811,0.974958,0.988196,0.93039] kappa 0.917568 kb_relative_information_score 7225.011006 mean_absolute_error 0.008133 mean_prior_absolute_error 0.073964 number_of_instances 7797 [300,300,300,300,300,298,300,300,300,300,300,300,299,300,300,300,300,300,300,300,300,300,300,300,300,300] precision 0.92131 [0.880503,0.796407,0.973333,0.889262,0.845614,0.930693,0.895082,0.986441,0.947368,0.936027,0.908497,0.969697,0.86711,0.866221,0.963576,0.866438,0.953177,0.966777,0.972973,0.877076,0.943522,0.844828,0.94863,0.976589,1,0.948097] predictive_accuracy 0.920739 prior_entropy 4.700438 recall 0.920739 [0.933333,0.886667,0.973333,0.883333,0.803333,0.946309,0.91,0.97,0.96,0.926667,0.926667,0.96,0.87291,0.863333,0.97,0.843333,0.95,0.97,0.96,0.88,0.946667,0.816667,0.923333,0.973333,0.976667,0.913333] relative_absolute_error 0.109952 root_mean_prior_squared_error 0.192308 root_mean_squared_error 0.06827 root_relative_squared_error 0.355003 total_cost 0 area_under_roc_curve 0.997203 [0.997333,0.998889,0.999644,0.995511,0.987956,0.999867,0.995289,1,0.999911,0.999556,0.993156,1,0.990978,0.996356,0.996311,0.994844,0.999778,0.999867,0.999956,0.996044,0.999911,0.992356,0.999822,0.9976,1,0.996356] area_under_roc_curve 0.996532 [0.997644,0.988533,1,0.9964,0.993733,0.999778,0.999333,0.994,0.989778,0.999422,0.993533,1,0.998622,0.998267,0.999822,0.982133,0.999156,0.999778,0.997422,0.990489,0.996133,0.996089,0.999867,1,0.999911,1] area_under_roc_curve 0.996591 [0.999422,0.997644,0.999733,0.9912,0.997378,0.999822,0.999067,0.988978,0.999156,0.995556,0.998756,0.995422,0.999422,0.999156,0.999867,0.991511,0.9996,0.998089,0.999556,0.9868,0.9996,0.996089,0.999244,0.994489,1,0.985822] area_under_roc_curve 0.997827 [0.998489,0.994978,0.999911,0.998444,0.998311,0.999644,0.999244,0.997467,0.999911,0.998533,0.999333,0.999911,0.998133,0.983022,1,0.989333,1,0.999956,0.999822,0.995733,1,0.994267,0.999867,0.999822,0.999778,0.9996] area_under_roc_curve 0.995125 [0.999556,0.988711,0.999689,0.997733,0.991067,0.997022,0.998756,0.999956,0.999956,0.998978,0.998133,0.999867,0.993111,0.993289,1,0.992667,0.999733,1,0.988,0.990533,0.997422,0.977044,0.996667,0.991889,0.999511,0.983956] area_under_roc_curve 0.995703 [0.999511,0.994978,0.991333,0.982267,0.995333,0.989022,0.998933,1,0.999911,0.998311,0.998044,0.997956,0.972667,0.994711,0.999467,0.987422,0.999956,0.999956,0.999467,0.995911,1,0.994178,0.999511,0.999911,1,0.999511] area_under_roc_curve 0.997242 [0.998467,0.998044,1,0.995867,0.984044,0.998756,1,0.977333,0.999733,0.999822,0.999556,1,0.991067,0.993644,0.999733,0.995422,0.999556,0.999911,1,0.999867,0.999333,0.999733,0.999378,1,1,0.999022] area_under_roc_curve 0.996948 [0.998932,0.992078,1,0.992123,0.985937,1,0.996084,0.999599,0.999688,0.999332,0.999644,0.999644,0.999264,0.995594,0.999644,0.999377,0.999421,1,1,0.974522,0.999733,0.990521,1,0.999955,1,0.999644] area_under_roc_curve 0.995921 [0.999466,0.995505,0.999822,0.983578,0.993814,0.993563,0.993769,1,0.998131,0.993903,0.991055,1,0.998442,0.998665,1,0.996707,0.999466,0.996573,1,0.98923,0.992078,0.996084,0.993324,0.999955,1,0.990743] area_under_roc_curve 0.99675 [0.999065,0.993725,0.999911,0.999688,0.995861,0.978184,0.997552,0.999866,0.990921,0.999599,0.999332,0.999955,0.978238,0.995839,0.999911,0.999421,1,0.999733,0.999288,1,0.999822,0.993146,0.998353,1,1,0.997463] 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 0.914407 [0.915254,0.828571,0.935484,0.903226,0.807018,0.935484,0.866667,1,0.966667,0.933333,0.866667,1,0.896552,0.888889,0.983051,0.877193,0.931034,0.95082,0.967742,0.819672,0.928571,0.779661,0.966667,0.912281,0.983051,0.931034] f_measure 0.928296 [0.865672,0.733333,1,0.888889,0.870968,0.967742,0.933333,0.966667,0.933333,0.952381,0.947368,0.983607,0.915254,0.885246,0.966667,0.793103,0.95082,0.966667,0.965517,0.912281,0.931034,0.888889,0.95082,0.983051,0.983051,1] f_measure 0.92695 [0.923077,0.885246,0.966667,0.872727,0.918033,0.95082,0.920635,0.966667,0.935484,0.947368,0.918033,0.949153,0.931034,0.931034,0.967742,0.915254,0.935484,0.931034,0.931034,0.870968,0.935484,0.806452,0.931034,0.983051,1,0.877193] f_measure 0.929498 [0.918033,0.857143,0.983051,0.881356,0.912281,0.95082,0.892308,0.983051,0.983051,0.931034,0.9375,0.947368,0.888889,0.857143,0.967742,0.813559,0.983051,0.983607,0.966667,0.896552,0.983607,0.766667,0.966667,0.983607,0.983051,0.949153] f_measure 0.901424 [0.923077,0.852459,0.949153,0.861538,0.807018,0.885246,0.888889,0.965517,0.967742,0.915254,0.852459,0.983607,0.766667,0.806452,1,0.866667,0.949153,0.983051,0.912281,0.806452,0.933333,0.877193,0.836364,0.983051,0.983051,0.881356] f_measure 0.911057 [0.915254,0.830769,0.966667,0.793103,0.8,0.931034,0.9,1,0.966667,0.933333,0.903226,0.931034,0.827586,0.806452,0.952381,0.821429,0.965517,0.983607,0.95082,0.83871,0.983607,0.833333,0.966667,0.967742,0.983051,0.935484] f_measure 0.922352 [0.9,0.875,1,0.947368,0.703704,0.933333,0.967742,0.965517,0.9375,0.928571,0.920635,0.965517,0.847458,0.885246,0.912281,0.766667,0.935484,0.966667,0.983051,0.952381,0.9,0.952381,0.920635,0.983607,0.983051,0.947368] f_measure 0.92653 [0.862069,0.857143,1,0.877193,0.786885,0.983607,0.877193,0.966667,0.95082,0.966667,0.966667,0.918033,0.878788,0.872727,0.933333,0.90625,0.949153,0.983051,1,0.852459,0.967742,0.814815,1,0.983051,0.983051,0.95082] f_measure 0.916911 [0.9375,0.8125,0.949153,0.9,0.827586,0.912281,0.881356,1,0.912281,0.9,0.965517,1,0.912281,0.90625,1,0.83871,0.933333,0.95082,1,0.851852,0.918033,0.769231,0.896552,0.967742,1,0.896552] f_measure 0.929208 [0.9,0.857143,0.983607,0.935484,0.793651,0.931034,0.892857,0.966667,0.983051,0.90625,0.9,0.967742,0.83871,0.807018,0.983051,0.947368,0.983607,0.983607,0.983607,0.983607,0.966667,0.821429,0.912281,1,1,0.931034] kappa 0.910667 kappa 0.925333 kappa 0.924 kappa 0.926667 kappa 0.897333 kappa 0.908 kappa 0.92 kappa 0.923903 kappa 0.913222 kappa 0.926572 kb_relative_information_score 719.07936 kb_relative_information_score 721.564492 kb_relative_information_score 723.879561 kb_relative_information_score 730.084138 kb_relative_information_score 707.862616 kb_relative_information_score 722.021535 kb_relative_information_score 729.14026 kb_relative_information_score 724.918292 kb_relative_information_score 716.006706 kb_relative_information_score 730.454047 mean_absolute_error 0.008764 mean_absolute_error 0.008596 mean_absolute_error 0.007969 mean_absolute_error 0.007255 mean_absolute_error 0.009587 mean_absolute_error 0.008096 mean_absolute_error 0.007508 mean_absolute_error 0.007611 mean_absolute_error 0.008836 mean_absolute_error 0.007101 mean_prior_absolute_error 0.073964 mean_prior_absolute_error 0.073964 mean_prior_absolute_error 0.073964 mean_prior_absolute_error 0.073964 mean_prior_absolute_error 0.073964 mean_prior_absolute_error 0.073964 mean_prior_absolute_error 0.073964 mean_prior_absolute_error 0.073964 mean_prior_absolute_error 0.073964 mean_prior_absolute_error 0.073964 number_of_instances 780 [30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30] number_of_instances 780 [30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30] number_of_instances 780 [30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30] number_of_instances 780 [30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30] number_of_instances 780 [30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30] number_of_instances 780 [30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30] number_of_instances 780 [30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30] number_of_instances 779 [30,30,30,30,30,30,30,30,30,30,30,30,29,30,30,30,30,30,30,30,30,30,30,30,30,30] number_of_instances 779 [30,30,30,30,30,29,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30] number_of_instances 779 [30,30,30,30,30,29,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30] precision 0.917786 [0.931034,0.725,0.90625,0.875,0.851852,0.90625,0.866667,1,0.966667,0.933333,0.866667,1,0.928571,0.848485,1,0.925926,0.964286,0.935484,0.9375,0.806452,1,0.793103,0.966667,0.962963,1,0.964286] precision 0.931231 [0.783784,0.733333,1,0.848485,0.84375,0.9375,0.933333,0.966667,0.933333,0.909091,1,0.967742,0.931034,0.870968,0.966667,0.821429,0.935484,0.966667,1,0.962963,0.964286,1,0.935484,1,1,1] precision 0.929512 [0.857143,0.870968,0.966667,0.96,0.903226,0.935484,0.878788,0.966667,0.90625,1,0.903226,0.965517,0.964286,0.964286,0.9375,0.931034,0.90625,0.964286,0.964286,0.84375,0.90625,0.78125,0.964286,1,1,0.925926] precision 0.931753 [0.903226,0.818182,1,0.896552,0.962963,0.935484,0.828571,1,1,0.964286,0.882353,1,0.848485,0.923077,0.9375,0.827586,1,0.967742,0.966667,0.928571,0.967742,0.766667,0.966667,0.967742,1,0.965517] precision 0.904146 [0.857143,0.83871,0.965517,0.8,0.851852,0.870968,0.848485,1,0.9375,0.931034,0.83871,0.967742,0.766667,0.78125,1,0.866667,0.965517,1,0.962963,0.78125,0.933333,0.925926,0.92,1,1,0.896552] precision 0.912825 [0.931034,0.771429,0.966667,0.821429,0.88,0.964286,0.9,1,0.966667,0.933333,0.875,0.964286,0.857143,0.78125,0.909091,0.884615,1,0.967742,0.935484,0.8125,0.967742,0.833333,0.966667,0.9375,1,0.90625] precision 0.924902 [0.9,0.823529,1,1,0.791667,0.933333,0.9375,1,0.882353,1,0.878788,1,0.862069,0.870968,0.962963,0.766667,0.90625,0.966667,1,0.909091,0.9,0.909091,0.878788,0.967742,1,1] precision 0.929705 [0.892857,0.818182,1,0.925926,0.774194,0.967742,0.925926,0.966667,0.935484,0.966667,0.966667,0.903226,0.783784,0.96,0.933333,0.852941,0.965517,1,1,0.83871,0.9375,0.916667,1,1,1,0.935484] precision 0.920201 [0.882353,0.764706,0.965517,0.9,0.857143,0.928571,0.896552,1,0.962963,0.9,1,1,0.962963,0.852941,1,0.8125,0.933333,0.935484,1,0.958333,0.903226,0.714286,0.928571,0.9375,1,0.928571] precision 0.93128 [0.9,0.818182,0.967742,0.90625,0.757576,0.931034,0.961538,0.966667,1,0.852941,0.9,0.9375,0.8125,0.851852,1,1,0.967742,0.967742,0.967742,0.967742,0.966667,0.884615,0.962963,1,1,0.964286] predictive_accuracy 0.914103 predictive_accuracy 0.928205 predictive_accuracy 0.926923 predictive_accuracy 0.929487 predictive_accuracy 0.901282 predictive_accuracy 0.911538 predictive_accuracy 0.923077 predictive_accuracy 0.926829 predictive_accuracy 0.91656 predictive_accuracy 0.929397 prior_entropy 4.700438 prior_entropy 4.700438 prior_entropy 4.700438 prior_entropy 4.700438 prior_entropy 4.700438 prior_entropy 4.700438 prior_entropy 4.700438 prior_entropy 4.700438 prior_entropy 4.700438 prior_entropy 4.700438 recall 0.914103 [0.9,0.966667,0.966667,0.933333,0.766667,0.966667,0.866667,1,0.966667,0.933333,0.866667,1,0.866667,0.933333,0.966667,0.833333,0.9,0.966667,1,0.833333,0.866667,0.766667,0.966667,0.866667,0.966667,0.9] recall 0.928205 [0.966667,0.733333,1,0.933333,0.9,1,0.933333,0.966667,0.933333,1,0.9,1,0.9,0.9,0.966667,0.766667,0.966667,0.966667,0.933333,0.866667,0.9,0.8,0.966667,0.966667,0.966667,1] recall 0.926923 [1,0.9,0.966667,0.8,0.933333,0.966667,0.966667,0.966667,0.966667,0.9,0.933333,0.933333,0.9,0.9,1,0.9,0.966667,0.9,0.9,0.9,0.966667,0.833333,0.9,0.966667,1,0.833333] recall 0.929487 [0.933333,0.9,0.966667,0.866667,0.866667,0.966667,0.966667,0.966667,0.966667,0.9,1,0.9,0.933333,0.8,1,0.8,0.966667,1,0.966667,0.866667,1,0.766667,0.966667,1,0.966667,0.933333] recall 0.901282 [1,0.866667,0.933333,0.933333,0.766667,0.9,0.933333,0.933333,1,0.9,0.866667,1,0.766667,0.833333,1,0.866667,0.933333,0.966667,0.866667,0.833333,0.933333,0.833333,0.766667,0.966667,0.966667,0.866667] recall 0.911538 [0.9,0.9,0.966667,0.766667,0.733333,0.9,0.9,1,0.966667,0.933333,0.933333,0.9,0.8,0.833333,1,0.766667,0.933333,1,0.966667,0.866667,1,0.833333,0.966667,1,0.966667,0.966667] recall 0.923077 [0.9,0.933333,1,0.9,0.633333,0.933333,1,0.933333,1,0.866667,0.966667,0.933333,0.833333,0.9,0.866667,0.766667,0.966667,0.966667,0.966667,1,0.9,1,0.966667,1,0.966667,0.9] recall 0.926829 [0.833333,0.9,1,0.833333,0.8,1,0.833333,0.966667,0.966667,0.966667,0.966667,0.933333,1,0.8,0.933333,0.966667,0.933333,0.966667,1,0.866667,1,0.733333,1,0.966667,0.966667,0.966667] recall 0.91656 [1,0.866667,0.933333,0.9,0.8,0.896552,0.866667,1,0.866667,0.9,0.933333,1,0.866667,0.966667,1,0.866667,0.933333,0.966667,1,0.766667,0.933333,0.833333,0.866667,1,1,0.866667] recall 0.929397 [0.9,0.9,1,0.966667,0.833333,0.931034,0.833333,0.966667,0.966667,0.966667,0.9,1,0.866667,0.766667,0.966667,0.9,1,1,1,1,0.966667,0.766667,0.866667,1,1,0.9] relative_absolute_error 0.118495 relative_absolute_error 0.116213 relative_absolute_error 0.107736 relative_absolute_error 0.098082 relative_absolute_error 0.12962 relative_absolute_error 0.109464 relative_absolute_error 0.101514 relative_absolute_error 0.102907 relative_absolute_error 0.119463 relative_absolute_error 0.096012 root_mean_prior_squared_error 0.192308 root_mean_prior_squared_error 0.192308 root_mean_prior_squared_error 0.192308 root_mean_prior_squared_error 0.192308 root_mean_prior_squared_error 0.192308 root_mean_prior_squared_error 0.192308 root_mean_prior_squared_error 0.192308 root_mean_prior_squared_error 0.192308 root_mean_prior_squared_error 0.192308 root_mean_prior_squared_error 0.192308 root_mean_squared_error 0.069938 root_mean_squared_error 0.069078 root_mean_squared_error 0.066103 root_mean_squared_error 0.063771 root_mean_squared_error 0.077431 root_mean_squared_error 0.069841 root_mean_squared_error 0.065687 root_mean_squared_error 0.067036 root_mean_squared_error 0.070022 root_mean_squared_error 0.062629 root_relative_squared_error 0.363678 root_relative_squared_error 0.359207 root_relative_squared_error 0.343736 root_relative_squared_error 0.331612 root_relative_squared_error 0.402639 root_relative_squared_error 0.363171 root_relative_squared_error 0.341573 root_relative_squared_error 0.348587 root_relative_squared_error 0.364113 root_relative_squared_error 0.325669 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