153 1 Jan van Rijn 32 Supervised Classification 76 weka.Bagging_REPTree(1) 17 weka.classifiers.meta.Bagging -- -P 100 -S 1 -num-slots 1 -I 10 -W weka.classifiers.trees.REPTree -- -M 2 -V 0.001 -N 3 -S 1 -L -1 -I 0.0 I 10 76 P 100 76 S 1 76 W weka.classifiers.trees.REPTree 76 num-slots 1 76 I 0.0 61 L -1 61 M 2 61 N 3 61 S 1 61 V 0.001 61 32 pendigits https://www.openml.org/data/download/32/dataset_32_pendigits.arff -1 367 description https://api.openml.org/data/download/367/weka_generated_run1990129225715798917.xml -1 368 predictions https://api.openml.org/data/download/368/weka_generated_predictions2668239606788246957.arff area_under_roc_curve 0.999188 [0.998793,0.998856,0.999377,0.998882,0.999909,0.998781,0.999116,0.99915,0.999592,0.999411] average_cost 0 f_measure 0.978722 [0.986831,0.960879,0.970614,0.980076,0.991692,0.982857,0.990512,0.974989,0.973101,0.976371] kappa 0.976342 kb_relative_information_score 10550.871095 mean_absolute_error 0.013452 mean_prior_absolute_error 0.179968 number_of_instances 10992 [1143,1143,1144,1055,1144,1055,1056,1142,1055,1055] os_information [ Oracle Corporation, 1.7.0_51, amd64, Linux, 3.7.10-1.28-desktop ] precision 0.978776 [0.990308,0.965548,0.959829,0.981007,0.992126,0.98756,0.992395,0.977133,0.968985,0.97361] predictive_accuracy 0.978712 prior_entropy 3.320774 recall 0.978712 [0.983377,0.956255,0.981643,0.979147,0.991259,0.978199,0.988636,0.972855,0.977251,0.979147] relative_absolute_error 0.074748 root_mean_prior_squared_error 0.299973 root_mean_squared_error 0.065161 root_relative_squared_error 0.217224 scimark_benchmark 1984.8086673352925 [ 1240.1284482551685, 1616.573112277644, 909.565357620422, 1683.107538988326, 4474.668879534902 ] total_cost 0 area_under_roc_curve 0.999112 [0.994098,0.999093,0.999461,0.999962,0.999973,0.999981,0.999934,0.999813,0.999611,0.999487] area_under_roc_curve 0.99901 [0.998711,0.998292,0.998711,0.998847,0.999964,0.99821,0.999516,0.999884,0.998723,0.999203] area_under_roc_curve 0.99855 [0.999059,0.999394,0.999041,0.997245,1,0.992733,0.999789,0.999903,0.999454,0.998461] area_under_roc_curve 0.998862 [0.999902,0.998347,0.999635,0.999722,0.999973,0.999316,0.992637,0.99916,0.99978,0.999904] area_under_roc_curve 0.999616 [1,0.997879,0.99951,0.999743,1,0.999924,0.999684,0.999679,0.999885,0.999952] area_under_roc_curve 0.999658 [0.998593,0.99992,0.999751,0.999981,0.999947,0.999648,0.999981,0.999475,0.999531,0.999799] area_under_roc_curve 0.999335 [0.998526,0.999626,0.99967,0.999221,0.999381,0.999572,0.999962,0.998384,0.999645,0.999444] area_under_roc_curve 0.999544 [0.999991,0.998718,0.999092,0.999686,0.999786,0.999829,0.999838,0.999127,1,0.999444] area_under_roc_curve 0.998945 [0.999991,0.998936,0.99976,0.995758,1,0.99886,1,0.996856,0.999886,0.999344] area_under_roc_curve 0.999528 [0.99992,0.998339,0.999236,0.999789,1,0.999981,1,0.999528,0.999857,0.998689] 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 0.588 build_cpu_time 0.575 build_cpu_time 0.572 build_cpu_time 0.664 build_cpu_time 0.568 build_cpu_time 0.573 build_cpu_time 0.572 build_cpu_time 0.571 build_cpu_time 0.573 build_cpu_time 0.578 f_measure 0.980992 [0.987013,0.947826,0.965812,0.995215,0.995595,0.990476,0.990476,0.973684,0.976303,0.990476] f_measure 0.970926 [0.964286,0.959641,0.953586,0.976077,0.9869,0.971429,0.981132,0.991228,0.967442,0.957746] f_measure 0.979152 [0.995633,0.969163,0.974359,0.971154,1,0.975845,0.995215,0.982456,0.953704,0.971698] f_measure 0.978187 [0.991228,0.948276,0.973451,0.975845,0.991304,0.995305,0.985507,0.965217,0.976744,0.980952] f_measure 0.981812 [0.991304,0.956522,0.969432,0.981308,0.995633,0.985782,0.990385,0.982456,0.976077,0.990476] f_measure 0.983613 [0.991228,0.982906,0.977974,0.995261,0.991379,0.990476,0.990476,0.95614,0.971154,0.990476] f_measure 0.974555 [0.982456,0.964912,0.978355,0.981132,0.9869,0.976303,0.995305,0.977778,0.961538,0.938967] f_measure 0.975376 [0.995633,0.941704,0.961039,0.971698,0.977778,0.981132,0.985915,0.974138,0.995261,0.971429] f_measure 0.982682 [0.99115,0.977974,0.978355,0.981132,1,0.970588,0.995305,0.973214,0.976959,0.981481] f_measure 0.979905 [0.977778,0.959276,0.974359,0.971963,0.991304,0.990566,0.995305,0.973684,0.976077,0.990566] kappa 0.978783 kappa 0.967672 kappa 0.976742 kappa 0.97573 kappa 0.979775 kappa 0.981797 kappa 0.971687 kappa 0.972698 kappa 0.980788 kappa 0.977754 kb_relative_information_score 1058.566962 kb_relative_information_score 1047.23309 kb_relative_information_score 1053.189683 kb_relative_information_score 1056.860515 kb_relative_information_score 1057.470801 kb_relative_information_score 1058.295947 kb_relative_information_score 1055.458693 kb_relative_information_score 1051.772615 kb_relative_information_score 1056.836092 kb_relative_information_score 1055.186697 mean_absolute_error 0.012863 mean_absolute_error 0.015132 mean_absolute_error 0.013918 mean_absolute_error 0.012732 mean_absolute_error 0.01303 mean_absolute_error 0.01276 mean_absolute_error 0.013088 mean_absolute_error 0.01411 mean_absolute_error 0.0131 mean_absolute_error 0.01379 mean_prior_absolute_error 0.179968 mean_prior_absolute_error 0.179968 mean_prior_absolute_error 0.179966 mean_prior_absolute_error 0.179966 mean_prior_absolute_error 0.179967 mean_prior_absolute_error 0.179967 mean_prior_absolute_error 0.179969 mean_prior_absolute_error 0.17997 mean_prior_absolute_error 0.17997 mean_prior_absolute_error 0.179969 number_of_instances 1100 [115,114,115,105,114,105,106,114,106,106] number_of_instances 1100 [115,114,115,105,114,105,106,114,106,106] number_of_instances 1099 [115,114,115,105,114,105,105,115,105,106] number_of_instances 1099 [114,115,114,105,115,106,105,115,105,105] number_of_instances 1099 [114,115,114,106,115,106,105,114,105,105] number_of_instances 1099 [114,115,114,106,115,106,105,114,105,105] number_of_instances 1099 [114,114,114,106,115,106,106,114,105,105] number_of_instances 1099 [114,114,114,106,114,106,106,114,106,105] number_of_instances 1099 [114,114,114,106,114,105,106,114,106,106] number_of_instances 1099 [114,114,115,105,114,105,106,114,106,106] precision 0.981201 [0.982759,0.939655,0.94958,1,1,0.990476,1,0.973684,0.980952,1] precision 0.971411 [0.990826,0.981651,0.92623,0.980769,0.982609,0.971429,0.981132,0.991228,0.954128,0.953271] precision 0.979516 [1,0.973451,0.957983,0.980583,1,0.990196,1,0.99115,0.927928,0.971698] precision 0.978427 [0.991228,0.940171,0.982143,0.990196,0.991304,0.990654,1,0.965217,0.954545,0.980952] precision 0.981889 [0.982759,0.956522,0.965217,0.972222,1,0.990476,1,0.982456,0.980769,0.990476] precision 0.983723 [0.991228,0.966387,0.982301,1,0.982906,1,0.990476,0.95614,0.980583,0.990476] precision 0.974723 [0.982456,0.964912,0.965812,0.981132,0.991228,0.980952,0.990654,0.990991,0.970874,0.925926] precision 0.97556 [0.991304,0.963303,0.948718,0.971698,0.990991,0.981132,0.981308,0.957627,1,0.971429] precision 0.983101 [1,0.982301,0.965812,0.981132,1,1,0.990654,0.990909,0.954955,0.963636] precision 0.980265 [0.990991,0.990654,0.957983,0.954128,0.982759,0.981308,0.990654,0.973684,0.990291,0.990566] predictive_accuracy 0.980909 predictive_accuracy 0.970909 predictive_accuracy 0.979072 predictive_accuracy 0.978162 predictive_accuracy 0.981802 predictive_accuracy 0.983621 predictive_accuracy 0.974522 predictive_accuracy 0.975432 predictive_accuracy 0.982712 predictive_accuracy 0.979982 prior_entropy 3.320774 prior_entropy 3.320774 prior_entropy 3.320774 prior_entropy 3.320774 prior_entropy 3.320774 prior_entropy 3.320774 prior_entropy 3.320774 prior_entropy 3.320774 prior_entropy 3.320774 prior_entropy 3.320774 recall 0.980909 [0.991304,0.95614,0.982609,0.990476,0.991228,0.990476,0.981132,0.973684,0.971698,0.981132] recall 0.970909 [0.93913,0.938596,0.982609,0.971429,0.991228,0.971429,0.981132,0.991228,0.981132,0.962264] recall 0.979072 [0.991304,0.964912,0.991304,0.961905,1,0.961905,0.990476,0.973913,0.980952,0.971698] recall 0.978162 [0.991228,0.956522,0.964912,0.961905,0.991304,1,0.971429,0.965217,1,0.980952] recall 0.981802 [1,0.956522,0.973684,0.990566,0.991304,0.981132,0.980952,0.982456,0.971429,0.990476] recall 0.983621 [0.991228,1,0.973684,0.990566,1,0.981132,0.990476,0.95614,0.961905,0.990476] recall 0.974522 [0.982456,0.964912,0.991228,0.981132,0.982609,0.971698,1,0.964912,0.952381,0.952381] recall 0.975432 [1,0.921053,0.973684,0.971698,0.964912,0.981132,0.990566,0.991228,0.990566,0.971429] recall 0.982712 [0.982456,0.973684,0.991228,0.981132,1,0.942857,1,0.95614,1,1] recall 0.979982 [0.964912,0.929825,0.991304,0.990476,1,1,1,0.973684,0.962264,0.990566] relative_absolute_error 0.071473 relative_absolute_error 0.084079 relative_absolute_error 0.077337 relative_absolute_error 0.070749 relative_absolute_error 0.072402 relative_absolute_error 0.070901 relative_absolute_error 0.072722 relative_absolute_error 0.078399 relative_absolute_error 0.072789 relative_absolute_error 0.076623 root_mean_prior_squared_error 0.299973 root_mean_prior_squared_error 0.299973 root_mean_prior_squared_error 0.29997 root_mean_prior_squared_error 0.29997 root_mean_prior_squared_error 0.299972 root_mean_prior_squared_error 0.299972 root_mean_prior_squared_error 0.299974 root_mean_prior_squared_error 0.299977 root_mean_prior_squared_error 0.299977 root_mean_prior_squared_error 0.299974 root_mean_squared_error 0.062774 root_mean_squared_error 0.073542 root_mean_squared_error 0.066191 root_mean_squared_error 0.064271 root_mean_squared_error 0.062242 root_mean_squared_error 0.060791 root_mean_squared_error 0.065999 root_mean_squared_error 0.067505 root_mean_squared_error 0.062616 root_mean_squared_error 0.064771 root_relative_squared_error 0.209264 root_relative_squared_error 0.245161 root_relative_squared_error 0.220658 root_relative_squared_error 0.21426 root_relative_squared_error 0.207491 root_relative_squared_error 0.202655 root_relative_squared_error 0.220016 root_relative_squared_error 0.225033 root_relative_squared_error 0.208738 root_relative_squared_error 0.215923 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