1810068 1 Jan van Rijn 3481 Supervised Classification 2258 weka.FURIA(2) 2894 weka.classifiers.rules.FURIA -- -F 3 -N 2.0 -O 2 -S 1 -p 0 -s 0 F 3 2258 N 2.0 2258 O 2 2258 S 1 2258 s 0 2258 p 0 2258 weka weka_3.7.13 300 isolet https://www.openml.org/data/download/52405/phpB0xrNj -1 4533629 description https://api.openml.org/data/download/4533629/weka_generated_run8929276297896434792.xml -1 4533632 model_readable https://api.openml.org/data/download/4533632/WekaModel_weka.classifiers.rules.FURIA476358505430968207.model -1 4533631 model_serialized https://api.openml.org/data/download/4533631/WekaSerialized_weka.classifiers.rules.FURIA9110461215035448291.model -1 4533630 predictions https://api.openml.org/data/download/4533630/weka_generated_predictions5536353213814625241.arff area_under_roc_curve 0.969673 [0.983245,0.949386,0.997976,0.95621,0.934545,0.967431,0.95601,0.989276,0.98594,0.9676,0.963762,0.988837,0.947239,0.954881,0.987222,0.942198,0.982961,0.989463,0.977319,0.950557,0.97249,0.945929,0.976614,0.984368,0.982623,0.977313] average_cost 0 f_measure 0.881969 [0.8896,0.777219,0.9701,0.816856,0.762542,0.913997,0.842105,0.961474,0.940199,0.864516,0.866779,0.933555,0.833052,0.811847,0.933993,0.794118,0.912752,0.939044,0.946844,0.834171,0.891847,0.786667,0.910995,0.948074,0.947899,0.90099] kappa 0.877286 kb_relative_information_score 6873.116974 mean_absolute_error 0.013513 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 0.882547 [0.855385,0.781145,0.966887,0.794953,0.765101,0.918644,0.858131,0.96633,0.937086,0.8375,0.877133,0.930464,0.840136,0.850365,0.924837,0.778846,0.918919,0.928339,0.943709,0.838384,0.890365,0.786667,0.956044,0.952862,0.955932,0.892157] predictive_accuracy 0.882006 prior_entropy 4.700438 recall 0.882006 [0.926667,0.773333,0.973333,0.84,0.76,0.909396,0.826667,0.956667,0.943333,0.893333,0.856667,0.936667,0.826087,0.776667,0.943333,0.81,0.906667,0.95,0.95,0.83,0.893333,0.786667,0.87,0.943333,0.94,0.91] relative_absolute_error 0.182702 root_mean_prior_squared_error 0.192308 root_mean_squared_error 0.089511 root_relative_squared_error 0.465457 total_cost 0 area_under_roc_curve 0.971699 [0.996689,0.9554,0.998044,0.962533,0.975044,0.981511,0.962733,0.965289,0.966311,0.996467,0.962222,0.998533,0.9614,0.9434,0.998489,0.937956,0.980644,0.999644,0.997356,0.959178,0.963244,0.941667,0.964889,0.932622,0.981333,0.981578] area_under_roc_curve 0.971789 [0.963556,0.907133,1,0.997667,0.974244,0.998489,0.961533,0.965867,0.982467,0.979378,0.962178,0.982156,0.943111,0.996733,0.948911,0.922378,0.981644,0.982956,0.983244,0.961689,0.946644,0.959844,0.999511,1,1,0.965178] area_under_roc_curve 0.96457 [0.996756,0.954044,0.982422,0.899644,0.904289,0.947067,0.940956,0.982222,0.9652,0.979267,0.9448,0.982622,0.980911,0.958933,0.999956,0.971178,0.982089,0.965733,0.999644,0.889867,0.999689,0.977889,0.980644,0.966089,0.9826,0.944311] area_under_roc_curve 0.967394 [0.961289,0.942978,0.999778,0.958178,0.971889,0.9974,0.956622,0.980867,0.998244,0.942378,0.961333,0.980422,0.961556,0.926822,0.964711,0.940467,0.981956,0.999533,0.966578,0.941822,0.982111,0.923689,0.965333,0.982467,0.965867,0.997956] area_under_roc_curve 0.964123 [0.9972,0.957822,0.999867,0.979644,0.917778,0.963733,0.963533,0.999911,0.983089,0.929244,0.962022,0.981533,0.891644,0.951156,0.982622,0.959822,0.9996,0.999267,0.948733,0.961822,0.962867,0.883111,0.946467,1,0.982644,0.962067] area_under_roc_curve 0.964798 [0.996711,0.989822,1,0.869667,0.922889,0.9808,0.961489,0.999778,0.9992,0.963444,0.991378,0.9982,0.942778,0.944044,0.9818,0.853067,0.981689,0.966178,0.982178,0.9786,0.982111,0.907,0.982,0.966044,0.965111,0.978778] area_under_roc_curve 0.968534 [0.962667,0.943422,0.999911,0.977511,0.8924,0.947489,0.944889,0.999644,0.983,0.947133,0.979689,0.999644,0.958533,0.943844,0.997467,0.942756,0.998978,0.999044,0.948978,0.979533,0.946756,0.942844,0.999911,0.9984,0.983044,0.9644] area_under_roc_curve 0.980212 [0.979395,0.940165,1,0.963129,0.937072,0.998465,0.942345,0.999911,1,0.99773,0.981753,0.982888,0.998207,0.944192,0.998353,0.996284,0.980886,0.983133,0.983066,0.927859,0.980263,0.973543,0.99911,1,0.999644,0.998732] area_under_roc_curve 0.967064 [0.998843,0.960837,0.999822,0.956475,0.942768,0.891632,0.959546,1,0.983089,0.96057,0.94555,0.982911,0.92648,0.960236,1,0.922074,0.962461,0.999688,0.980863,0.924388,0.980018,0.960659,0.963173,0.998264,0.982532,0.998264] area_under_roc_curve 0.976509 [0.980151,0.944704,0.999955,0.99615,0.907098,0.964874,0.965154,1,0.999199,0.979484,0.944949,0.998709,0.907543,0.977548,0.999822,0.977281,0.979706,0.999911,0.982421,0.980975,0.981931,0.992568,0.964575,1,0.982911,0.981219] 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 0.87044 [0.885246,0.679245,0.920635,0.861538,0.78125,0.966667,0.857143,0.931034,0.931034,0.861538,0.857143,0.9,0.9,0.813559,0.90625,0.807018,0.918033,0.920635,0.952381,0.785714,0.9,0.787879,0.784314,0.892857,0.918033,0.912281] f_measure 0.896554 [0.888889,0.774194,0.983607,0.920635,0.78125,0.967742,0.885246,0.931034,0.931034,0.857143,0.866667,0.931034,0.8125,0.862069,0.915254,0.733333,0.931034,0.949153,0.983051,0.877193,0.877193,0.785714,0.983051,0.967742,0.983607,0.931034] f_measure 0.86621 [0.865672,0.709677,0.95082,0.701754,0.745763,0.833333,0.806452,0.935484,0.918033,0.870968,0.872727,0.966667,0.912281,0.77193,0.983607,0.741935,0.885246,0.9,0.933333,0.763636,0.935484,0.848485,0.915254,0.931034,0.949153,0.872727] f_measure 0.879591 [0.825397,0.793103,0.983051,0.766667,0.769231,0.923077,0.779661,0.915254,0.933333,0.827586,0.862069,0.918033,0.9,0.892857,0.918033,0.766667,0.915254,0.966667,0.965517,0.786885,0.903226,0.8,0.949153,0.95082,0.965517,0.892308] f_measure 0.873709 [0.892308,0.813559,0.965517,0.835821,0.701754,0.877193,0.9,0.965517,0.933333,0.896552,0.877193,0.933333,0.714286,0.677966,0.935484,0.852459,0.95082,0.952381,0.9,0.903226,0.881356,0.721311,0.888889,0.935484,0.949153,0.861538] f_measure 0.88418 [0.866667,0.794118,0.983051,0.758621,0.807018,0.933333,0.862069,0.983607,0.952381,0.870968,0.825397,0.903226,0.807018,0.793103,0.949153,0.763636,0.949153,0.933333,0.935484,0.875,0.95082,0.827586,0.949153,0.928571,0.915254,0.870968] f_measure 0.886027 [0.915254,0.769231,0.966667,0.806452,0.740741,0.931034,0.877193,0.983051,0.935484,0.862069,0.857143,0.966667,0.793103,0.827586,0.896552,0.786885,0.933333,0.935484,0.931034,0.861538,0.881356,0.793651,0.965517,0.95082,0.95082,0.918033] f_measure 0.890231 [0.90625,0.766667,1,0.877193,0.721311,0.931034,0.77193,0.983607,0.967742,0.888889,0.920635,0.95082,0.857143,0.830189,0.918033,0.852941,0.877193,0.928571,0.966667,0.793103,0.847458,0.77193,0.931034,0.965517,0.966667,0.952381] f_measure 0.881416 [0.952381,0.857143,0.966667,0.761905,0.807018,0.807018,0.813559,0.983607,0.931034,0.830769,0.881356,0.966667,0.827586,0.847458,1,0.787879,0.896552,0.935484,0.935484,0.763636,0.862069,0.779661,0.9,0.967742,0.931034,0.920635] f_measure 0.887566 [0.9,0.814815,0.983607,0.861538,0.766667,0.964286,0.867925,1,0.966667,0.878788,0.847458,0.9,0.8,0.807018,0.918033,0.83871,0.870968,0.967742,0.966667,0.90625,0.875,0.745763,0.821429,0.983607,0.949153,0.877193] kappa 0.866667 kappa 0.892 kappa 0.861333 kappa 0.874667 kappa 0.869333 kappa 0.88 kappa 0.881333 kappa 0.886522 kappa 0.877175 kappa 0.883851 kb_relative_information_score 683.924087 kb_relative_information_score 698.033652 kb_relative_information_score 674.528737 kb_relative_information_score 682.046916 kb_relative_information_score 678.174903 kb_relative_information_score 681.752274 kb_relative_information_score 692.466683 kb_relative_information_score 698.55622 kb_relative_information_score 684.150058 kb_relative_information_score 699.483446 mean_absolute_error 0.014399 mean_absolute_error 0.012044 mean_absolute_error 0.014849 mean_absolute_error 0.014519 mean_absolute_error 0.014427 mean_absolute_error 0.014265 mean_absolute_error 0.012335 mean_absolute_error 0.012724 mean_absolute_error 0.013686 mean_absolute_error 0.011884 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 0.876005 [0.870968,0.782609,0.878788,0.8,0.735294,0.966667,0.818182,0.964286,0.964286,0.8,0.923077,0.9,0.9,0.827586,0.852941,0.851852,0.903226,0.878788,0.909091,0.846154,0.9,0.722222,0.952381,0.961538,0.903226,0.962963] precision 0.899452 [0.848485,0.75,0.967742,0.878788,0.735294,0.9375,0.870968,0.964286,0.964286,0.818182,0.866667,0.964286,0.764706,0.892857,0.931034,0.733333,0.964286,0.965517,1,0.925926,0.925926,0.846154,1,0.9375,0.967742,0.964286] precision 0.869771 [0.783784,0.6875,0.935484,0.740741,0.758621,0.833333,0.78125,0.90625,0.903226,0.84375,0.96,0.966667,0.962963,0.814815,0.967742,0.71875,0.870968,0.9,0.933333,0.84,0.90625,0.777778,0.931034,0.964286,0.965517,0.96] precision 0.882538 [0.787879,0.821429,1,0.766667,0.714286,0.857143,0.793103,0.931034,0.933333,0.857143,0.892857,0.903226,0.9,0.961538,0.903226,0.766667,0.931034,0.966667,1,0.774194,0.875,0.88,0.965517,0.935484,1,0.828571] precision 0.877006 [0.828571,0.827586,1,0.756757,0.740741,0.925926,0.9,1,0.933333,0.928571,0.925926,0.933333,0.769231,0.689655,0.90625,0.83871,0.935484,0.909091,0.9,0.875,0.896552,0.709677,1,0.90625,0.965517,0.8] precision 0.887106 [0.866667,0.710526,1,0.785714,0.851852,0.933333,0.892857,0.967742,0.909091,0.84375,0.787879,0.875,0.851852,0.821429,0.965517,0.84,0.965517,0.933333,0.90625,0.823529,0.935484,0.857143,0.965517,1,0.931034,0.84375] precision 0.88901 [0.931034,0.714286,0.966667,0.78125,0.833333,0.964286,0.925926,1,0.90625,0.892857,0.818182,0.966667,0.821429,0.857143,0.928571,0.774194,0.933333,0.90625,0.964286,0.8,0.896552,0.757576,1,0.935484,0.935484,0.903226] precision 0.89437 [0.852941,0.766667,1,0.925926,0.709677,0.964286,0.814815,0.967742,0.9375,0.848485,0.878788,0.935484,0.794118,0.956522,0.903226,0.763158,0.925926,1,0.966667,0.821429,0.862069,0.814815,0.964286,1,0.966667,0.909091] precision 0.88403 [0.909091,0.923077,0.966667,0.727273,0.851852,0.821429,0.827586,0.967742,0.964286,0.771429,0.896552,0.966667,0.857143,0.862069,1,0.722222,0.928571,0.90625,0.90625,0.84,0.892857,0.793103,0.9,0.9375,0.964286,0.878788] precision 0.89139 [0.9,0.916667,0.967742,0.8,0.766667,1,1,1,0.966667,0.805556,0.862069,0.9,0.8,0.851852,0.903226,0.8125,0.84375,0.9375,0.966667,0.852941,0.823529,0.758621,0.884615,0.967742,0.965517,0.925926] predictive_accuracy 0.871795 predictive_accuracy 0.896154 predictive_accuracy 0.866667 predictive_accuracy 0.879487 predictive_accuracy 0.874359 predictive_accuracy 0.884615 predictive_accuracy 0.885897 predictive_accuracy 0.890886 predictive_accuracy 0.8819 predictive_accuracy 0.888318 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 0.871795 [0.9,0.6,0.966667,0.933333,0.833333,0.966667,0.9,0.9,0.9,0.933333,0.8,0.9,0.9,0.8,0.966667,0.766667,0.933333,0.966667,1,0.733333,0.9,0.866667,0.666667,0.833333,0.933333,0.866667] recall 0.896154 [0.933333,0.8,1,0.966667,0.833333,1,0.9,0.9,0.9,0.9,0.866667,0.9,0.866667,0.833333,0.9,0.733333,0.9,0.933333,0.966667,0.833333,0.833333,0.733333,0.966667,1,1,0.9] recall 0.866667 [0.966667,0.733333,0.966667,0.666667,0.733333,0.833333,0.833333,0.966667,0.933333,0.9,0.8,0.966667,0.866667,0.733333,1,0.766667,0.9,0.9,0.933333,0.7,0.966667,0.933333,0.9,0.9,0.933333,0.8] recall 0.879487 [0.866667,0.766667,0.966667,0.766667,0.833333,1,0.766667,0.9,0.933333,0.8,0.833333,0.933333,0.9,0.833333,0.933333,0.766667,0.9,0.966667,0.933333,0.8,0.933333,0.733333,0.933333,0.966667,0.933333,0.966667] recall 0.874359 [0.966667,0.8,0.933333,0.933333,0.666667,0.833333,0.9,0.933333,0.933333,0.866667,0.833333,0.933333,0.666667,0.666667,0.966667,0.866667,0.966667,1,0.9,0.933333,0.866667,0.733333,0.8,0.966667,0.933333,0.933333] recall 0.884615 [0.866667,0.9,0.966667,0.733333,0.766667,0.933333,0.833333,1,1,0.9,0.866667,0.933333,0.766667,0.766667,0.933333,0.7,0.933333,0.933333,0.966667,0.933333,0.966667,0.8,0.933333,0.866667,0.9,0.9] recall 0.885897 [0.9,0.833333,0.966667,0.833333,0.666667,0.9,0.833333,0.966667,0.966667,0.833333,0.9,0.966667,0.766667,0.8,0.866667,0.8,0.933333,0.966667,0.9,0.933333,0.866667,0.833333,0.933333,0.966667,0.966667,0.933333] recall 0.890886 [0.966667,0.766667,1,0.833333,0.733333,0.9,0.733333,1,1,0.933333,0.966667,0.966667,0.931034,0.733333,0.933333,0.966667,0.833333,0.866667,0.966667,0.766667,0.833333,0.733333,0.9,0.933333,0.966667,1] recall 0.8819 [1,0.8,0.966667,0.8,0.766667,0.793103,0.8,1,0.9,0.9,0.866667,0.966667,0.8,0.833333,1,0.866667,0.866667,0.966667,0.966667,0.7,0.833333,0.766667,0.9,1,0.9,0.966667] recall 0.888318 [0.9,0.733333,1,0.933333,0.766667,0.931034,0.766667,1,0.966667,0.966667,0.833333,0.9,0.8,0.766667,0.933333,0.866667,0.9,1,0.966667,0.966667,0.933333,0.733333,0.766667,1,0.933333,0.833333] relative_absolute_error 0.194676 relative_absolute_error 0.162828 relative_absolute_error 0.200764 relative_absolute_error 0.196301 relative_absolute_error 0.195049 relative_absolute_error 0.192858 relative_absolute_error 0.166768 relative_absolute_error 0.172029 relative_absolute_error 0.185037 relative_absolute_error 0.160674 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 0.091538 root_mean_squared_error 0.084618 root_mean_squared_error 0.094084 root_mean_squared_error 0.092766 root_mean_squared_error 0.093029 root_mean_squared_error 0.092766 root_mean_squared_error 0.087434 root_mean_squared_error 0.084385 root_mean_squared_error 0.090626 root_mean_squared_error 0.082974 root_relative_squared_error 0.475997 root_relative_squared_error 0.440015 root_relative_squared_error 0.489235 root_relative_squared_error 0.482383 root_relative_squared_error 0.483749 root_relative_squared_error 0.482382 root_relative_squared_error 0.454654 root_relative_squared_error 0.438804 root_relative_squared_error 0.471258 root_relative_squared_error 0.431467 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