404069 2 Joaquin Vanschoren 1776 Supervised Classification predictive_accuracy 1244 weka.FilteredClassifier_Discretize_J48(4) 2166 weka.classifiers.meta.FilteredClassifier -- -F "weka.filters.supervised.attribute.Discretize -R first-last -precision 6" -W weka.classifiers.trees.J48 -- -C 0.25 -M 2 C 0.25 1068 M 2 1068 F weka.filters.supervised.attribute.Discretize 1244 W weka.classifiers.trees.J48 1244 R first-last 1245 precision 6 1245 weka weka_3.7.12 12 mfeat-factors https://www.openml.org/data/download/12/dataset_12_mfeat-factors.arff -1 1412866 description https://api.openml.org/data/download/1412866/weka_generated_run5150291945857046843.xml -1 1412869 model_readable https://api.openml.org/data/download/1412869/WekaModel_weka.classifiers.meta.FilteredClassifier1205576967593914797.model -1 1412868 model_serialized https://api.openml.org/data/download/1412868/WekaSerialized_weka.classifiers.meta.FilteredClassifier8952708469633995443.model -1 1412867 predictions https://api.openml.org/data/download/1412867/weka_generated_predictions3667843892086171825.arff area_under_roc_curve 0.913019 [0.959388,0.886801,0.930452,0.870917,0.923963,0.854948,0.930561,0.942013,0.917874,0.913271] average_cost 0 f_measure 0.805573 [0.912892,0.754246,0.83499,0.708995,0.833669,0.705074,0.829871,0.853029,0.822572,0.800396] kappa 0.784222 kb_relative_information_score 7978.077741 mean_absolute_error 0.042332 mean_prior_absolute_error 0.18 number_of_instances 10000 [1000,1000,1000,1000,1000,1000,1000,1000,1000,1000] os_information [Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64] precision 0.806122 [0.908821,0.753493,0.83004,0.68304,0.840447,0.747758,0.820939,0.84714,0.836608,0.792934] predictive_accuracy 0.8058 prior_entropy 3.321928 recall 0.8058 [0.917,0.755,0.84,0.737,0.827,0.667,0.839,0.859,0.809,0.808] relative_absolute_error 0.23518 root_mean_prior_squared_error 0.3 root_mean_squared_error 0.184902 root_relative_squared_error 0.616339 scimark_benchmark 926.474464 [551.2771025626125, 992.7640510810805, 468.065280891209, 903.9448721759832, 1716.32101431548] total_cost 0 usercpu_time_millis 290 usercpu_time_millis_testing 20 usercpu_time_millis_training 270 area_under_roc_curve 0.920358 [0.934772,0.852011,0.922694,0.907856,0.958567,0.908311,0.936856,0.954144,0.899561,0.928811] area_under_roc_curve 0.901139 [0.964167,0.902294,0.942117,0.865,0.868444,0.829889,0.916656,0.907328,0.942972,0.872528] area_under_roc_curve 0.919158 [0.983611,0.874644,0.966594,0.87045,0.945817,0.843122,0.913711,0.972883,0.905589,0.915156] area_under_roc_curve 0.912113 [0.958017,0.9247,0.949217,0.833244,0.898444,0.840133,0.9591,0.942278,0.941439,0.874561] area_under_roc_curve 0.912929 [0.962739,0.920667,0.888333,0.877411,0.886822,0.882172,0.958356,0.877489,0.9266,0.948706] area_under_roc_curve 0.930951 [0.982994,0.932106,0.930567,0.888061,0.980744,0.865678,0.948111,0.953739,0.936656,0.890856] area_under_roc_curve 0.909878 [0.971661,0.868639,0.961578,0.86115,0.911872,0.882244,0.915756,0.938178,0.875939,0.911761] area_under_roc_curve 0.916929 [0.922356,0.893228,0.912528,0.869161,0.943006,0.883544,0.941239,0.968367,0.916333,0.919528] area_under_roc_curve 0.899318 [0.969178,0.8332,0.904761,0.854089,0.948683,0.783194,0.905311,0.967756,0.892928,0.934083] area_under_roc_curve 0.902458 [0.940139,0.864244,0.922794,0.873094,0.905106,0.81085,0.902522,0.934844,0.939033,0.93195] 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 0.797465 [0.86,0.683417,0.778846,0.728111,0.927083,0.760417,0.854054,0.861386,0.689655,0.831683] f_measure 0.7748 [0.901961,0.757009,0.876847,0.701422,0.747368,0.602564,0.80198,0.780488,0.868687,0.709677] f_measure 0.820655 [0.920792,0.730769,0.938144,0.735135,0.822335,0.701923,0.794393,0.906404,0.80402,0.852632] f_measure 0.794078 [0.92,0.761468,0.819048,0.659794,0.791878,0.691099,0.803828,0.855769,0.846939,0.79096] f_measure 0.816253 [0.925373,0.8,0.829016,0.707424,0.812834,0.744898,0.835681,0.804124,0.873684,0.829493] f_measure 0.827097 [0.932039,0.82,0.810811,0.746411,0.949495,0.758242,0.875,0.813725,0.851675,0.713568] f_measure 0.812361 [0.945274,0.748663,0.928571,0.692683,0.763636,0.719626,0.825871,0.876289,0.811111,0.811881] f_measure 0.821441 [0.899471,0.835979,0.766355,0.748768,0.871795,0.691099,0.878049,0.905473,0.811594,0.805825] f_measure 0.793426 [0.935961,0.693467,0.79397,0.693467,0.858537,0.645161,0.812183,0.873786,0.833333,0.794393] f_measure 0.800237 [0.8867,0.721154,0.819048,0.678414,0.79803,0.715909,0.819149,0.852792,0.839378,0.871795] kappa 0.773333 kappa 0.753333 kappa 0.8 kappa 0.772222 kappa 0.794444 kappa 0.808889 kappa 0.79 kappa 0.801111 kappa 0.772222 kappa 0.776667 kb_relative_information_score 792.240177 kb_relative_information_score 768.434298 kb_relative_information_score 815.318715 kb_relative_information_score 796.028476 kb_relative_information_score 805.760221 kb_relative_information_score 821.684309 kb_relative_information_score 797.924122 kb_relative_information_score 809.586846 kb_relative_information_score 786.236264 kb_relative_information_score 784.864313 mean_absolute_error 0.043498 mean_absolute_error 0.048803 mean_absolute_error 0.038589 mean_absolute_error 0.042699 mean_absolute_error 0.039514 mean_absolute_error 0.03889 mean_absolute_error 0.042859 mean_absolute_error 0.03912 mean_absolute_error 0.044609 mean_absolute_error 0.044743 mean_prior_absolute_error 0.18 mean_prior_absolute_error 0.18 mean_prior_absolute_error 0.18 mean_prior_absolute_error 0.18 mean_prior_absolute_error 0.18 mean_prior_absolute_error 0.18 mean_prior_absolute_error 0.18 mean_prior_absolute_error 0.18 mean_prior_absolute_error 0.18 mean_prior_absolute_error 0.18 number_of_instances 1000 [100,100,100,100,100,100,100,100,100,100] number_of_instances 1000 [100,100,100,100,100,100,100,100,100,100] number_of_instances 1000 [100,100,100,100,100,100,100,100,100,100] number_of_instances 1000 [100,100,100,100,100,100,100,100,100,100] number_of_instances 1000 [100,100,100,100,100,100,100,100,100,100] number_of_instances 1000 [100,100,100,100,100,100,100,100,100,100] number_of_instances 1000 [100,100,100,100,100,100,100,100,100,100] number_of_instances 1000 [100,100,100,100,100,100,100,100,100,100] number_of_instances 1000 [100,100,100,100,100,100,100,100,100,100] number_of_instances 1000 [100,100,100,100,100,100,100,100,100,100] precision 0.801845 [0.86,0.686869,0.75,0.675214,0.967391,0.793478,0.929412,0.852941,0.679612,0.823529] precision 0.784575 [0.884615,0.710526,0.864078,0.666667,0.788889,0.839286,0.794118,0.761905,0.877551,0.65812] precision 0.824143 [0.911765,0.703704,0.968085,0.8,0.835052,0.675926,0.745614,0.893204,0.808081,0.9] precision 0.798385 [0.92,0.70339,0.781818,0.680851,0.804124,0.725275,0.770642,0.824074,0.864583,0.909091] precision 0.825174 [0.920792,0.9,0.860215,0.627907,0.873563,0.760417,0.787611,0.829787,0.922222,0.769231] precision 0.829861 [0.90566,0.82,0.882353,0.715596,0.959184,0.841463,0.842593,0.798077,0.816514,0.717172] precision 0.81872 [0.940594,0.804598,0.947917,0.67619,0.7,0.675439,0.821782,0.904255,0.9125,0.803922] precision 0.824607 [0.955056,0.88764,0.719298,0.737864,0.894737,0.725275,0.857143,0.90099,0.785047,0.783019] precision 0.7939 [0.92233,0.69697,0.79798,0.69697,0.838095,0.697674,0.824742,0.849057,0.869565,0.745614] precision 0.807839 [0.873786,0.694444,0.781818,0.606299,0.786408,0.828947,0.875,0.865979,0.870968,0.894737] predictive_accuracy 0.796 predictive_accuracy 0.778 predictive_accuracy 0.82 predictive_accuracy 0.795 predictive_accuracy 0.815 predictive_accuracy 0.828 predictive_accuracy 0.811 predictive_accuracy 0.821 predictive_accuracy 0.795 predictive_accuracy 0.799 prior_entropy 3.321928 prior_entropy 3.321928 prior_entropy 3.321928 prior_entropy 3.321928 prior_entropy 3.321928 prior_entropy 3.321928 prior_entropy 3.321928 prior_entropy 3.321928 prior_entropy 3.321928 prior_entropy 3.321928 recall 0.796 [0.86,0.68,0.81,0.79,0.89,0.73,0.79,0.87,0.7,0.84] recall 0.778 [0.92,0.81,0.89,0.74,0.71,0.47,0.81,0.8,0.86,0.77] recall 0.82 [0.93,0.76,0.91,0.68,0.81,0.73,0.85,0.92,0.8,0.81] recall 0.795 [0.92,0.83,0.86,0.64,0.78,0.66,0.84,0.89,0.83,0.7] recall 0.815 [0.93,0.72,0.8,0.81,0.76,0.73,0.89,0.78,0.83,0.9] recall 0.828 [0.96,0.82,0.75,0.78,0.94,0.69,0.91,0.83,0.89,0.71] recall 0.811 [0.95,0.7,0.91,0.71,0.84,0.77,0.83,0.85,0.73,0.82] recall 0.821 [0.85,0.79,0.82,0.76,0.85,0.66,0.9,0.91,0.84,0.83] recall 0.795 [0.95,0.69,0.79,0.69,0.88,0.6,0.8,0.9,0.8,0.85] recall 0.799 [0.9,0.75,0.86,0.77,0.81,0.63,0.77,0.84,0.81,0.85] relative_absolute_error 0.241654 relative_absolute_error 0.27113 relative_absolute_error 0.214384 relative_absolute_error 0.237217 relative_absolute_error 0.219521 relative_absolute_error 0.216057 relative_absolute_error 0.238107 relative_absolute_error 0.217332 relative_absolute_error 0.247826 relative_absolute_error 0.24857 root_mean_prior_squared_error 0.3 root_mean_prior_squared_error 0.3 root_mean_prior_squared_error 0.3 root_mean_prior_squared_error 0.3 root_mean_prior_squared_error 0.3 root_mean_prior_squared_error 0.3 root_mean_prior_squared_error 0.3 root_mean_prior_squared_error 0.3 root_mean_prior_squared_error 0.3 root_mean_prior_squared_error 0.3 root_mean_squared_error 0.185334 root_mean_squared_error 0.195239 root_mean_squared_error 0.179043 root_mean_squared_error 0.185934 root_mean_squared_error 0.184436 root_mean_squared_error 0.170371 root_mean_squared_error 0.185016 root_mean_squared_error 0.181285 root_mean_squared_error 0.190539 root_mean_squared_error 0.190652 root_relative_squared_error 0.617779 root_relative_squared_error 0.650797 root_relative_squared_error 0.59681 root_relative_squared_error 0.619781 root_relative_squared_error 0.614787 root_relative_squared_error 0.567905 root_relative_squared_error 0.61672 root_relative_squared_error 0.604284 root_relative_squared_error 0.63513 root_relative_squared_error 0.635506 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 usercpu_time_millis 160 usercpu_time_millis 160 usercpu_time_millis 160 usercpu_time_millis 180 usercpu_time_millis 160 usercpu_time_millis 160 usercpu_time_millis 160 usercpu_time_millis 160 usercpu_time_millis 150 usercpu_time_millis 160 usercpu_time_millis_testing 10 usercpu_time_millis_testing 10 usercpu_time_millis_testing 10 usercpu_time_millis_testing 10 usercpu_time_millis_testing 20 usercpu_time_millis_testing 10 usercpu_time_millis_testing 10 usercpu_time_millis_testing 10 usercpu_time_millis_testing 10 usercpu_time_millis_testing 10 usercpu_time_millis_training 150 usercpu_time_millis_training 150 usercpu_time_millis_training 150 usercpu_time_millis_training 170 usercpu_time_millis_training 140 usercpu_time_millis_training 150 usercpu_time_millis_training 150 usercpu_time_millis_training 150 usercpu_time_millis_training 140 usercpu_time_millis_training 150