27898 2 Joaquin Vanschoren 3481 Supervised Classification 523 weka.Bagging_J48(2) 768 weka.classifiers.meta.Bagging -- -P 100 -S 1 -num-slots 1 -I 20 -W weka.classifiers.trees.J48 -- -C 0.25 -M 2 I 20 523 P 100 523 S 1 523 W weka.classifiers.trees.J48 523 num-slots 1 523 C 0.25 365 M 2 365 300 isolet https://www.openml.org/data/download/52405/phpB0xrNj -1 62428 description https://api.openml.org/data/download/62428/weka_generated_run185047368739021917.xml -1 62431 model_readable https://api.openml.org/data/download/62431/WekaModel_weka.classifiers.meta.Bagging8404006349712374691.model -1 62430 model_serialized https://api.openml.org/data/download/62430/WekaSerialized_weka.classifiers.meta.Bagging6265623088114276723.model -1 62429 predictions https://api.openml.org/data/download/62429/weka_generated_predictions6898642966071926039.arff area_under_roc_curve 0.995329 [0.995267,0.989789,0.997939,0.992708,0.994302,0.999001,0.990823,0.997629,0.997594,0.995067,0.990645,0.99763,0.992182,0.992237,0.999374,0.98523,0.999427,0.999839,0.999336,0.993873,0.995832,0.991506,0.996615,0.999942,0.998155,0.996622] average_cost 0 build_cpu_time 365.149901 build_memory 2027852102.516353 f_measure 0.914103 [0.91598,0.844884,0.962109,0.882943,0.804674,0.930233,0.882645,0.968386,0.95098,0.88586,0.889256,0.957983,0.853782,0.853782,0.968174,0.861953,0.945634,0.964706,0.945946,0.885077,0.931373,0.855241,0.932231,0.978441,0.989933,0.92437] kappa 0.910766 kb_relative_information_score 7058.627288 mean_absolute_error 0.014546 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] os_information [Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64] precision 0.914262 [0.905537,0.836601,0.95114,0.885906,0.80602,0.921053,0.87541,0.966777,0.932692,0.905923,0.881967,0.966102,0.858108,0.861017,0.973064,0.870748,0.934853,0.972881,0.958904,0.911661,0.913462,0.853821,0.92459,0.973597,0.996622,0.932203] predictive_accuracy 0.914198 prior_entropy 4.700438 recall 0.914198 [0.926667,0.853333,0.973333,0.88,0.803333,0.939597,0.89,0.97,0.97,0.866667,0.896667,0.95,0.849498,0.846667,0.963333,0.853333,0.956667,0.956667,0.933333,0.86,0.95,0.856667,0.94,0.983333,0.983333,0.916667] relative_absolute_error 0.19666 root_mean_prior_squared_error 0.192308 root_mean_squared_error 0.074446 root_relative_squared_error 0.387118 scimark_benchmark 891.118432 [528.5577773344239, 960.5956967556333, 455.94132284654324, 850.0129396777824, 1660.4844257601474] total_cost 0 area_under_roc_curve 0.996758 [0.997356,0.995467,0.981333,0.995511,0.991178,1,0.997467,0.996622,0.999556,0.9976,0.996844,0.999733,0.997067,0.993467,0.999489,0.988667,0.999467,0.999822,1,0.995489,0.999511,0.996533,0.999511,0.999956,1,0.998067] area_under_roc_curve 0.996339 [0.9988,0.996044,1,0.995911,0.997511,0.999556,0.999244,0.999556,0.999378,0.999422,0.998978,0.999956,0.994578,0.993778,0.999956,0.971244,0.999911,0.999822,0.999733,0.993867,0.981956,0.986911,0.999111,1,1,0.9996] area_under_roc_curve 0.996164 [0.9992,0.996756,0.999733,0.996711,0.992756,0.999022,0.996756,0.981422,0.9988,0.9964,0.999378,0.999067,0.999467,0.996711,1,0.998044,0.999689,0.999644,0.999422,0.999022,0.9804,0.996533,0.997822,0.999911,1,0.9776] area_under_roc_curve 0.995332 [0.977822,0.9966,0.999422,0.998044,0.997956,0.9976,0.998578,0.999911,0.980556,0.998756,0.999822,0.9984,0.995844,0.993133,0.998422,0.990067,0.999956,0.999867,0.998089,0.993133,0.999733,0.969333,0.999244,1,1,0.998356] area_under_roc_curve 0.994298 [0.9984,0.978444,0.999689,0.977222,0.995289,0.996667,0.999911,0.999911,0.999956,0.992978,0.991844,0.999911,0.995511,0.9684,0.999822,0.995444,0.9996,0.999689,0.997689,0.993333,0.999556,0.9964,0.978044,0.999956,1,0.998089] area_under_roc_curve 0.992897 [0.999867,0.994244,0.999733,0.986956,0.992978,0.999289,0.990867,1,1,0.995667,0.960356,0.980289,0.995733,0.998,1,0.9526,0.9994,1,0.999689,0.996044,0.999778,0.993422,0.999867,0.999911,0.981889,0.998756] area_under_roc_curve 0.994469 [0.998133,0.994844,0.999956,0.992556,0.991911,0.998711,0.999644,0.999911,0.999733,0.997733,0.976489,0.999956,0.956844,0.993933,0.997644,0.970178,0.999333,1,0.999244,0.999511,0.998911,0.996267,0.996133,0.999956,0.999956,0.998711] area_under_roc_curve 0.996874 [0.996529,0.977325,0.999955,0.992835,0.995416,1,0.975968,0.999733,1,0.997063,0.998665,0.999688,0.997839,0.995283,0.999243,0.999911,0.998398,1,1,0.998887,0.999688,0.997152,0.999666,1,1,0.99951] area_under_roc_curve 0.993759 [0.999688,0.968069,0.999666,0.993458,0.993769,0.999724,0.955296,1,0.997775,0.977926,0.988273,1,0.995995,0.998353,1,0.995661,0.998376,0.999733,1,0.991255,0.998821,0.993102,0.995906,1,1,0.997085] area_under_roc_curve 0.997391 [0.990343,0.998887,0.999955,0.999599,0.995594,0.998966,0.996351,1,0.999911,0.998932,0.998264,0.99951,0.995238,0.993124,0.99951,0.997196,0.999822,0.999955,0.999733,0.979662,0.999822,0.992279,0.999777,1,0.999955,0.999822] 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 366.96 build_cpu_time 364.934 build_cpu_time 367.769 build_cpu_time 365.072 build_cpu_time 365.159 build_cpu_time 367.864 build_cpu_time 360.635 build_cpu_time 361.97 build_cpu_time 364.938 build_cpu_time 366.195 build_memory 874160192 build_memory 2404516696 build_memory 1805681912 build_memory 2648984968 build_memory 876634336 build_memory 1086157768 build_memory 2882597944 build_memory 2679516456 build_memory 2516432824 build_memory 2505912680 f_measure 0.923222 [0.933333,0.83871,0.935484,0.885246,0.786885,1,0.870968,0.966667,0.952381,0.931034,0.903226,0.983051,0.881356,0.866667,0.983051,0.877193,0.949153,0.949153,0.967742,0.842105,0.903226,0.949153,0.933333,0.965517,1,0.949153] f_measure 0.91388 [0.861538,0.8,1,0.903226,0.80597,0.935484,0.9,0.95082,0.949153,0.933333,0.9,0.983607,0.8,0.793103,0.966667,0.912281,0.983051,0.966667,0.931034,0.866667,0.949153,0.785714,0.952381,1,1,0.931034] f_measure 0.910882 [0.90625,0.842105,0.967742,0.857143,0.881356,0.903226,0.896552,0.966667,0.90625,0.862069,0.885246,0.928571,0.892308,0.892857,0.983607,0.862069,0.95082,0.912281,0.915254,0.931034,0.896552,0.794521,0.918033,0.983051,1,0.947368] f_measure 0.91231 [0.931034,0.875,0.952381,0.918033,0.847458,0.903226,0.892308,0.966667,0.949153,0.928571,0.882353,0.9,0.847458,0.785714,0.95082,0.862069,0.983051,0.966667,0.892857,0.851852,0.9375,0.847458,0.933333,0.967742,1,0.947368] f_measure 0.907568 [0.885246,0.857143,0.933333,0.903226,0.857143,0.857143,0.935484,0.947368,0.967742,0.870968,0.857143,0.966667,0.813559,0.806452,0.966667,0.9,0.967742,0.965517,0.892857,0.9,0.952381,0.877193,0.915254,0.95082,0.983051,0.866667] f_measure 0.908408 [0.967742,0.8,0.965517,0.807018,0.733333,0.892857,0.870968,1,1,0.877193,0.847458,0.95082,0.892857,0.95082,1,0.793103,0.95082,1,0.9375,0.862069,0.935484,0.793651,0.9375,0.983607,0.983051,0.885246] f_measure 0.913872 [0.95082,0.866667,0.966667,0.881356,0.745763,0.918033,0.9,0.965517,0.966667,0.872727,0.90625,0.965517,0.833333,0.931034,0.949153,0.745763,0.903226,0.967742,0.965517,0.935484,0.933333,0.870968,0.95082,0.983607,0.966667,0.918033] f_measure 0.917255 [0.9,0.857143,0.967742,0.896552,0.785714,0.967742,0.83871,0.952381,0.923077,0.821429,0.949153,0.966667,0.885246,0.842105,0.928571,0.895522,0.866667,0.965517,1,0.872727,0.933333,0.931034,0.983051,0.966667,1,0.95082] f_measure 0.904767 [0.95082,0.819672,0.949153,0.806452,0.785714,0.965517,0.827586,0.983607,0.933333,0.857143,0.872727,0.966667,0.866667,0.870968,1,0.84375,0.920635,0.966667,0.983051,0.842105,0.903226,0.877193,0.866667,0.983607,0.983051,0.9] f_measure 0.928181 [0.872727,0.885246,0.983607,0.966667,0.818182,0.964286,0.892857,0.983607,0.966667,0.903226,0.885246,0.966667,0.821429,0.8,0.95082,0.928571,0.983607,0.983607,0.966667,0.935484,0.967742,0.842105,0.931034,1,0.983051,0.95082] kappa 0.92 kappa 0.910667 kappa 0.906667 kappa 0.909333 kappa 0.904 kappa 0.905333 kappa 0.910667 kappa 0.914557 kappa 0.901207 kappa 0.925237 kb_relative_information_score 705.038327 kb_relative_information_score 709.295649 kb_relative_information_score 705.082103 kb_relative_information_score 704.197465 kb_relative_information_score 703.5757 kb_relative_information_score 701.01914 kb_relative_information_score 705.490588 kb_relative_information_score 709.933243 kb_relative_information_score 700.572951 kb_relative_information_score 714.422121 mean_absolute_error 0.01472 mean_absolute_error 0.014154 mean_absolute_error 0.015015 mean_absolute_error 0.014842 mean_absolute_error 0.014859 mean_absolute_error 0.01514 mean_absolute_error 0.014779 mean_absolute_error 0.014239 mean_absolute_error 0.014643 mean_absolute_error 0.013065 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 0.924691 [0.933333,0.8125,0.90625,0.870968,0.774194,1,0.84375,0.966667,0.909091,0.964286,0.875,1,0.896552,0.866667,1,0.925926,0.965517,0.965517,0.9375,0.888889,0.875,0.965517,0.933333,1,1,0.965517] precision 0.916415 [0.8,0.88,1,0.875,0.72973,0.90625,0.9,0.935484,0.965517,0.933333,0.9,0.967742,0.8,0.821429,0.966667,0.962963,1,0.966667,0.964286,0.866667,0.965517,0.846154,0.909091,1,1,0.964286] precision 0.916794 [0.852941,0.888889,0.9375,0.923077,0.896552,0.875,0.928571,0.966667,0.852941,0.892857,0.870968,1,0.828571,0.961538,0.967742,0.892857,0.935484,0.962963,0.931034,0.964286,0.928571,0.674419,0.903226,1,1,1] precision 0.916376 [0.964286,0.823529,0.909091,0.903226,0.862069,0.875,0.828571,0.966667,0.965517,1,0.789474,0.9,0.862069,0.846154,0.935484,0.892857,1,0.966667,0.961538,0.958333,0.882353,0.862069,0.933333,0.9375,1,1] precision 0.909951 [0.870968,0.818182,0.933333,0.875,0.923077,0.818182,0.90625,1,0.9375,0.84375,0.923077,0.966667,0.827586,0.78125,0.966667,0.9,0.9375,1,0.961538,0.9,0.909091,0.925926,0.931034,0.935484,1,0.866667] precision 0.910211 [0.9375,0.8,1,0.851852,0.733333,0.961538,0.84375,1,1,0.925926,0.862069,0.935484,0.961538,0.935484,1,0.821429,0.935484,1,0.882353,0.892857,0.90625,0.757576,0.882353,0.967742,1,0.870968] precision 0.91529 [0.935484,0.866667,0.966667,0.896552,0.758621,0.903226,0.9,1,0.966667,0.96,0.852941,1,0.833333,0.964286,0.965517,0.758621,0.875,0.9375,1,0.90625,0.933333,0.84375,0.935484,0.967742,0.966667,0.903226] precision 0.920611 [0.9,0.818182,0.9375,0.928571,0.846154,0.9375,0.8125,0.909091,0.857143,0.884615,0.965517,0.966667,0.84375,0.888889,1,0.810811,0.866667,1,1,0.96,0.933333,0.964286,1,0.966667,1,0.935484] precision 0.906757 [0.935484,0.806452,0.965517,0.78125,0.846154,0.965517,0.857143,0.967742,0.933333,0.818182,0.96,0.966667,0.866667,0.84375,1,0.794118,0.878788,0.966667,1,0.888889,0.875,0.925926,0.866667,0.967742,1,0.9] precision 0.931507 [0.96,0.870968,0.967742,0.966667,0.75,1,0.961538,0.967742,0.966667,0.875,0.870968,0.966667,0.884615,0.742857,0.935484,1,0.967742,0.967742,0.966667,0.90625,0.9375,0.888889,0.964286,1,1,0.935484] predictive_accuracy 0.923077 predictive_accuracy 0.914103 predictive_accuracy 0.910256 predictive_accuracy 0.912821 predictive_accuracy 0.907692 predictive_accuracy 0.908974 predictive_accuracy 0.914103 predictive_accuracy 0.917843 predictive_accuracy 0.905006 predictive_accuracy 0.928113 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 0.923077 [0.933333,0.866667,0.966667,0.9,0.8,1,0.9,0.966667,1,0.9,0.933333,0.966667,0.866667,0.866667,0.966667,0.833333,0.933333,0.933333,1,0.8,0.933333,0.933333,0.933333,0.933333,1,0.933333] recall 0.914103 [0.933333,0.733333,1,0.933333,0.9,0.966667,0.9,0.966667,0.933333,0.933333,0.9,1,0.8,0.766667,0.966667,0.866667,0.966667,0.966667,0.9,0.866667,0.933333,0.733333,1,1,1,0.9] recall 0.910256 [0.966667,0.8,1,0.8,0.866667,0.933333,0.866667,0.966667,0.966667,0.833333,0.9,0.866667,0.966667,0.833333,1,0.833333,0.966667,0.866667,0.9,0.9,0.866667,0.966667,0.933333,0.966667,1,0.9] recall 0.912821 [0.9,0.933333,1,0.933333,0.833333,0.933333,0.966667,0.966667,0.933333,0.866667,1,0.9,0.833333,0.733333,0.966667,0.833333,0.966667,0.966667,0.833333,0.766667,1,0.833333,0.933333,1,1,0.9] recall 0.907692 [0.9,0.9,0.933333,0.933333,0.8,0.9,0.966667,0.9,1,0.9,0.8,0.966667,0.8,0.833333,0.966667,0.9,1,0.933333,0.833333,0.9,1,0.833333,0.9,0.966667,0.966667,0.866667] recall 0.908974 [1,0.8,0.933333,0.766667,0.733333,0.833333,0.9,1,1,0.833333,0.833333,0.966667,0.833333,0.966667,1,0.766667,0.966667,1,1,0.833333,0.966667,0.833333,1,1,0.966667,0.9] recall 0.914103 [0.966667,0.866667,0.966667,0.866667,0.733333,0.933333,0.9,0.933333,0.966667,0.8,0.966667,0.933333,0.833333,0.9,0.933333,0.733333,0.933333,1,0.933333,0.966667,0.933333,0.9,0.966667,1,0.966667,0.933333] recall 0.917843 [0.9,0.9,1,0.866667,0.733333,1,0.866667,1,1,0.766667,0.933333,0.966667,0.931034,0.8,0.866667,1,0.866667,0.933333,1,0.8,0.933333,0.9,0.966667,0.966667,1,0.966667] recall 0.905006 [0.966667,0.833333,0.933333,0.833333,0.733333,0.965517,0.8,1,0.933333,0.9,0.8,0.966667,0.866667,0.9,1,0.9,0.966667,0.966667,0.966667,0.8,0.933333,0.833333,0.866667,1,0.966667,0.9] recall 0.928113 [0.8,0.9,1,0.966667,0.9,0.931034,0.833333,1,0.966667,0.933333,0.9,0.966667,0.766667,0.866667,0.966667,0.866667,1,1,0.966667,0.966667,1,0.8,0.9,1,0.966667,0.966667] relative_absolute_error 0.19901 relative_absolute_error 0.191363 relative_absolute_error 0.202999 relative_absolute_error 0.200667 relative_absolute_error 0.200897 relative_absolute_error 0.204699 relative_absolute_error 0.199811 relative_absolute_error 0.192512 relative_absolute_error 0.19797 relative_absolute_error 0.176644 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 0.074523 root_mean_squared_error 0.073051 root_mean_squared_error 0.074844 root_mean_squared_error 0.075751 root_mean_squared_error 0.076682 root_mean_squared_error 0.076967 root_mean_squared_error 0.074296 root_mean_squared_error 0.072794 root_mean_squared_error 0.075769 root_mean_squared_error 0.069478 root_relative_squared_error 0.38752 root_relative_squared_error 0.379865 root_relative_squared_error 0.389187 root_relative_squared_error 0.393905 root_relative_squared_error 0.398746 root_relative_squared_error 0.400228 root_relative_squared_error 0.38634 root_relative_squared_error 0.37853 root_relative_squared_error 0.393996 root_relative_squared_error 0.361284 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