1763221 1 Jan van Rijn 3481 Supervised Classification 2074 weka.LogitBoost_DecisionStump(6) 6378 weka.classifiers.meta.LogitBoost -- -P 100 -L -1.7976931348623157E308 -H 1.0 -Z 3.0 -O 1 -E 1 -S 1 -I 10 -W weka.classifiers.trees.DecisionStump P 100 2074 L -1.7976931348623157E308 2074 H 1.0 2074 Z 3.0 2074 O 1 2074 E 1 2074 S 1 2074 I 10 2074 W weka.classifiers.trees.DecisionStump 2074 weka weka_3.7.13 300 isolet https://www.openml.org/data/download/52405/phpB0xrNj -1 4437467 description https://api.openml.org/data/download/4437467/weka_generated_run2255490275124122118.xml -1 4437469 model_readable https://api.openml.org/data/download/4437469/WekaModel_weka.classifiers.meta.LogitBoost5480664972251254153.model -1 4437468 model_serialized https://api.openml.org/data/download/4437468/WekaSerialized_weka.classifiers.meta.LogitBoost7022928361841841171.model -1 4437470 predictions https://api.openml.org/data/download/4437470/weka_generated_predictions4446353999873217914.arff area_under_roc_curve 0.995996 [0.996319,0.992169,0.999826,0.992741,0.992668,0.998764,0.992627,0.999242,0.997744,0.99647,0.995362,0.999303,0.995012,0.994804,0.999333,0.98557,0.998491,0.999531,0.999433,0.990814,0.997765,0.991174,0.995737,0.999799,0.99994,0.995286] average_cost 0 f_measure 0.906631 [0.903752,0.819048,0.978441,0.857616,0.810811,0.937815,0.878536,0.978297,0.960133,0.88595,0.895175,0.948419,0.838384,0.819113,0.948419,0.826087,0.945455,0.9701,0.954925,0.877797,0.927487,0.823333,0.911814,0.97651,0.984975,0.913997] kappa 0.902896 kb_relative_information_score 7059.696641 mean_absolute_error 0.013003 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 0.90697 [0.884984,0.781818,0.973597,0.851974,0.821918,0.939394,0.877076,0.979933,0.956954,0.878689,0.893688,0.946844,0.844068,0.839161,0.946844,0.828859,0.937705,0.966887,0.956522,0.907473,0.938567,0.823333,0.910299,0.983108,0.986622,0.924915] predictive_accuracy 0.906631 prior_entropy 4.700438 recall 0.906631 [0.923333,0.86,0.983333,0.863333,0.8,0.936242,0.88,0.976667,0.963333,0.893333,0.896667,0.95,0.832776,0.8,0.95,0.823333,0.953333,0.973333,0.953333,0.85,0.916667,0.823333,0.913333,0.97,0.983333,0.903333] relative_absolute_error 0.175797 root_mean_prior_squared_error 0.192308 root_mean_squared_error 0.07565 root_relative_squared_error 0.393378 total_cost 0 area_under_roc_curve 0.995196 [0.998711,0.996844,0.9996,0.990978,0.996578,0.999467,0.993911,0.999822,0.999778,0.997067,0.984178,0.999956,0.983,0.992533,0.998356,0.970889,0.997822,0.999467,0.999689,0.993244,0.995467,0.995956,0.999022,0.999067,0.999956,0.993733] area_under_roc_curve 0.995241 [0.979244,0.990578,1,0.996178,0.990978,1,0.997867,0.998978,0.980044,0.998889,0.994711,0.999556,0.997689,0.995956,1,0.984844,1,0.998711,1,0.986978,0.9988,0.988222,0.999778,1,1,0.998267] area_under_roc_curve 0.996891 [0.9984,0.997689,0.999733,0.988756,0.9968,0.999644,0.990844,0.997911,0.998089,0.997556,0.998,0.999378,0.998533,0.995111,0.999822,0.996044,0.999644,0.998756,0.999644,0.987511,0.999733,0.994889,0.995289,0.998933,1,0.992444] area_under_roc_curve 0.996865 [0.9992,0.992489,0.999956,0.999289,0.9916,0.999422,0.996622,0.999822,1,0.997111,0.998222,0.9984,0.996756,0.995778,0.9992,0.975867,0.999867,0.999689,0.999911,0.992267,1,0.990578,0.9992,1,0.999956,0.997289] area_under_roc_curve 0.994566 [0.997556,0.991822,0.999956,0.993067,0.986356,0.994711,0.996044,0.996978,1,0.986444,0.992311,0.999778,0.993467,0.994356,0.999822,0.991956,0.999644,1,0.997022,0.986711,0.997778,0.9856,0.989467,1,0.999689,0.988178] area_under_roc_curve 0.996113 [0.999956,0.9952,0.999689,0.9828,0.990267,0.9988,0.994222,1,0.998933,0.9984,0.997289,0.999378,0.9976,0.998222,0.998622,0.981511,0.996356,0.9996,0.999644,0.995778,0.9992,0.982178,0.997556,1,1,0.997733] area_under_roc_curve 0.995621 [0.998889,0.988578,0.999556,0.987867,0.982178,0.998311,0.998844,0.999467,0.999911,0.998356,0.996711,0.998133,0.991956,0.993378,0.998756,0.9764,0.999511,1,0.999333,0.998578,0.994978,0.994578,0.997378,0.999956,1,0.994533] area_under_roc_curve 0.997047 [0.998754,0.982154,1,0.996173,0.994526,0.999421,0.985225,1,0.999777,0.997819,0.999466,0.999733,0.998483,0.993591,0.999199,0.99951,0.997953,0.999777,0.999866,0.991945,0.999733,0.995327,0.999332,1,1,0.995505] area_under_roc_curve 0.99472 [0.99911,0.993102,0.999955,0.993057,0.997063,0.999586,0.979172,1,0.999822,0.993235,0.996173,0.999644,0.995194,0.99595,1,0.982911,0.994793,0.999688,0.999955,0.975189,0.995283,0.990521,0.985225,0.999822,1,0.998442] area_under_roc_curve 0.997931 [0.993102,0.99466,0.999911,0.999021,0.998798,0.998115,0.995372,1,0.999866,0.998976,0.998531,0.999199,0.995995,0.99417,0.999421,0.996351,0.999911,0.999866,0.999421,0.999822,0.998042,0.993235,0.996173,1,0.999955,0.998309] 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 0.904708 [0.915254,0.833333,0.967742,0.847458,0.861538,0.949153,0.885246,0.967742,0.966667,0.90625,0.847458,0.966667,0.8,0.827586,0.920635,0.842105,0.947368,0.920635,0.952381,0.877193,0.95082,0.793651,0.949153,0.931034,0.983051,0.912281] f_measure 0.909138 [0.848485,0.793651,1,0.857143,0.806452,0.983607,0.90625,0.983051,0.931034,0.903226,0.819672,0.933333,0.888889,0.8,0.947368,0.727273,1,0.966667,0.983051,0.928571,0.947368,0.766667,0.966667,1,1,0.949153] f_measure 0.911245 [0.935484,0.857143,0.966667,0.793651,0.888889,0.967742,0.857143,0.95082,0.949153,0.896552,0.888889,0.966667,0.9,0.862069,0.952381,0.847458,0.949153,0.966667,0.983607,0.827586,0.933333,0.84375,0.915254,0.947368,0.967742,0.877193] f_measure 0.912681 [0.918033,0.787879,1,0.931034,0.75,0.915254,0.861538,0.983051,1,0.892857,0.933333,0.931034,0.847458,0.847458,0.935484,0.8,0.966667,0.966667,0.966667,0.793103,0.983607,0.833333,0.95082,1,0.983607,0.95082] f_measure 0.88456 [0.903226,0.738462,0.966667,0.825397,0.701754,0.870968,0.935484,0.965517,0.983607,0.881356,0.847458,0.966667,0.827586,0.806452,0.966667,0.806452,0.920635,1,0.862069,0.881356,0.872727,0.736842,0.877193,1,0.983051,0.870968] f_measure 0.92287 [0.983607,0.888889,0.965517,0.813559,0.766667,0.892857,0.95082,1,0.931034,0.903226,0.933333,0.935484,0.9,0.9,0.931034,0.813559,0.915254,0.95082,0.935484,0.915254,0.966667,0.915254,0.95082,1,1,0.935484] f_measure 0.890596 [0.9,0.794118,0.967742,0.892857,0.703704,0.935484,0.918033,0.949153,0.967742,0.866667,0.949153,0.965517,0.711864,0.721311,0.966667,0.758621,0.935484,1,0.947368,0.935484,0.862069,0.819672,0.875,0.966667,0.983051,0.862069] f_measure 0.917718 [0.915254,0.830769,1,0.896552,0.785714,0.949153,0.779661,1,0.90625,0.857143,0.920635,0.95082,0.888889,0.857143,0.949153,0.9375,0.949153,0.965517,0.966667,0.857143,0.966667,0.881356,0.933333,0.983051,0.965517,0.966667] f_measure 0.89424 [0.888889,0.8125,0.983607,0.813559,0.892857,0.947368,0.792453,0.983607,0.983607,0.833333,0.881356,0.95082,0.827586,0.786885,1,0.818182,0.90625,0.983051,0.983051,0.77193,0.881356,0.827586,0.833333,0.95082,1,0.918033] f_measure 0.915905 [0.833333,0.866667,0.966667,0.909091,0.920635,0.965517,0.881356,1,0.983051,0.918033,0.931034,0.918033,0.779661,0.785714,0.915254,0.896552,0.967742,0.983607,0.966667,0.983051,0.903226,0.813559,0.866667,0.983607,0.983607,0.892857] kappa 0.901333 kappa 0.905333 kappa 0.908 kappa 0.909333 kappa 0.88 kappa 0.92 kappa 0.886667 kappa 0.914558 kappa 0.890526 kappa 0.913222 kb_relative_information_score 702.87833 kb_relative_information_score 706.336619 kb_relative_information_score 705.997714 kb_relative_information_score 708.802322 kb_relative_information_score 697.516983 kb_relative_information_score 708.43099 kb_relative_information_score 701.915031 kb_relative_information_score 714.150862 kb_relative_information_score 702.038015 kb_relative_information_score 711.629775 mean_absolute_error 0.013237 mean_absolute_error 0.013164 mean_absolute_error 0.013131 mean_absolute_error 0.013191 mean_absolute_error 0.013952 mean_absolute_error 0.012361 mean_absolute_error 0.013041 mean_absolute_error 0.012089 mean_absolute_error 0.013547 mean_absolute_error 0.012312 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 0.907335 [0.931034,0.833333,0.9375,0.862069,0.8,0.965517,0.870968,0.9375,0.966667,0.852941,0.862069,0.966667,0.88,0.857143,0.878788,0.888889,1,0.878788,0.909091,0.925926,0.935484,0.757576,0.965517,0.964286,1,0.962963] precision 0.912636 [0.777778,0.757576,1,0.818182,0.78125,0.967742,0.852941,1,0.964286,0.875,0.806452,0.933333,0.848485,0.88,1,0.8,1,0.966667,1,1,1,0.766667,0.966667,1,1,0.965517] precision 0.913475 [0.90625,0.923077,0.966667,0.757576,0.848485,0.9375,0.923077,0.935484,0.965517,0.928571,0.848485,0.966667,0.9,0.892857,0.909091,0.862069,0.965517,0.966667,0.967742,0.857143,0.933333,0.794118,0.931034,1,0.9375,0.925926] precision 0.914585 [0.903226,0.722222,1,0.964286,0.807692,0.931034,0.8,1,1,0.961538,0.933333,0.964286,0.862069,0.862069,0.90625,0.8,0.966667,0.966667,0.966667,0.821429,0.967742,0.833333,0.935484,1,0.967742,0.935484] precision 0.886961 [0.875,0.685714,0.966667,0.787879,0.740741,0.84375,0.90625,1,0.967742,0.896552,0.862069,0.966667,0.857143,0.78125,0.966667,0.78125,0.878788,1,0.892857,0.896552,0.96,0.777778,0.925926,1,1,0.84375] precision 0.923903 [0.967742,0.848485,1,0.827586,0.766667,0.961538,0.935484,1,0.964286,0.875,0.933333,0.90625,0.9,0.9,0.964286,0.827586,0.931034,0.935484,0.90625,0.931034,0.966667,0.931034,0.935484,1,1,0.90625] precision 0.893345 [0.9,0.710526,0.9375,0.961538,0.791667,0.90625,0.903226,0.965517,0.9375,0.866667,0.965517,1,0.724138,0.709677,0.966667,0.785714,0.90625,1,1,0.90625,0.892857,0.806452,0.823529,0.966667,1,0.892857] precision 0.920669 [0.931034,0.771429,1,0.928571,0.846154,0.965517,0.793103,1,0.852941,0.818182,0.878788,0.935484,0.823529,0.923077,0.965517,0.882353,0.965517,1,0.966667,0.923077,0.966667,0.896552,0.933333,1,1,0.966667] precision 0.896955 [0.848485,0.764706,0.967742,0.827586,0.961538,0.964286,0.913043,0.967742,0.967742,0.833333,0.896552,0.935484,0.857143,0.774194,1,0.75,0.852941,1,1,0.814815,0.896552,0.857143,0.833333,0.935484,1,0.903226] precision 0.917193 [0.833333,0.866667,0.966667,0.833333,0.878788,0.965517,0.896552,1,1,0.903226,0.964286,0.903226,0.793103,0.846154,0.931034,0.928571,0.9375,0.967742,0.966667,1,0.875,0.827586,0.866667,0.967742,0.967742,0.961538] predictive_accuracy 0.905128 predictive_accuracy 0.908974 predictive_accuracy 0.911538 predictive_accuracy 0.912821 predictive_accuracy 0.884615 predictive_accuracy 0.923077 predictive_accuracy 0.891026 predictive_accuracy 0.917843 predictive_accuracy 0.894737 predictive_accuracy 0.91656 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 0.905128 [0.9,0.833333,1,0.833333,0.933333,0.933333,0.9,1,0.966667,0.966667,0.833333,0.966667,0.733333,0.8,0.966667,0.8,0.9,0.966667,1,0.833333,0.966667,0.833333,0.933333,0.9,0.966667,0.866667] recall 0.908974 [0.933333,0.833333,1,0.9,0.833333,1,0.966667,0.966667,0.9,0.933333,0.833333,0.933333,0.933333,0.733333,0.9,0.666667,1,0.966667,0.966667,0.866667,0.9,0.766667,0.966667,1,1,0.933333] recall 0.911538 [0.966667,0.8,0.966667,0.833333,0.933333,1,0.8,0.966667,0.933333,0.866667,0.933333,0.966667,0.9,0.833333,1,0.833333,0.933333,0.966667,1,0.8,0.933333,0.9,0.9,0.9,1,0.833333] recall 0.912821 [0.933333,0.866667,1,0.9,0.7,0.9,0.933333,0.966667,1,0.833333,0.933333,0.9,0.833333,0.833333,0.966667,0.8,0.966667,0.966667,0.966667,0.766667,1,0.833333,0.966667,1,1,0.966667] recall 0.884615 [0.933333,0.8,0.966667,0.866667,0.666667,0.9,0.966667,0.933333,1,0.866667,0.833333,0.966667,0.8,0.833333,0.966667,0.833333,0.966667,1,0.833333,0.866667,0.8,0.7,0.833333,1,0.966667,0.9] recall 0.923077 [1,0.933333,0.933333,0.8,0.766667,0.833333,0.966667,1,0.9,0.933333,0.933333,0.966667,0.9,0.9,0.9,0.8,0.9,0.966667,0.966667,0.9,0.966667,0.9,0.966667,1,1,0.966667] recall 0.891026 [0.9,0.9,1,0.833333,0.633333,0.966667,0.933333,0.933333,1,0.866667,0.933333,0.933333,0.7,0.733333,0.966667,0.733333,0.966667,1,0.9,0.966667,0.833333,0.833333,0.933333,0.966667,0.966667,0.833333] recall 0.917843 [0.9,0.9,1,0.866667,0.733333,0.933333,0.766667,1,0.966667,0.9,0.966667,0.966667,0.965517,0.8,0.933333,1,0.933333,0.933333,0.966667,0.8,0.966667,0.866667,0.933333,0.966667,0.933333,0.966667] recall 0.894737 [0.933333,0.866667,1,0.8,0.833333,0.931034,0.7,1,1,0.833333,0.866667,0.966667,0.8,0.8,1,0.9,0.966667,0.966667,0.966667,0.733333,0.866667,0.8,0.833333,0.966667,1,0.933333] recall 0.91656 [0.833333,0.866667,0.966667,1,0.966667,0.965517,0.866667,1,0.966667,0.933333,0.9,0.933333,0.766667,0.733333,0.9,0.866667,1,1,0.966667,0.966667,0.933333,0.8,0.866667,1,1,0.833333] relative_absolute_error 0.178967 relative_absolute_error 0.177979 relative_absolute_error 0.177533 relative_absolute_error 0.178348 relative_absolute_error 0.188632 relative_absolute_error 0.167119 relative_absolute_error 0.176315 relative_absolute_error 0.163448 relative_absolute_error 0.183157 relative_absolute_error 0.166453 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 0.077717 root_mean_squared_error 0.076054 root_mean_squared_error 0.075418 root_mean_squared_error 0.074775 root_mean_squared_error 0.080843 root_mean_squared_error 0.072933 root_mean_squared_error 0.078518 root_mean_squared_error 0.070319 root_mean_squared_error 0.077111 root_mean_squared_error 0.072203 root_relative_squared_error 0.40413 root_relative_squared_error 0.39548 root_relative_squared_error 0.392173 root_relative_squared_error 0.388829 root_relative_squared_error 0.420383 root_relative_squared_error 0.379249 root_relative_squared_error 0.408292 root_relative_squared_error 0.365657 root_relative_squared_error 0.400977 root_relative_squared_error 0.375455 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