149061 2 Joaquin Vanschoren 3530 Supervised Classification predictive_accuracy 584 weka.Decorate(1) 947 weka.classifiers.meta.Decorate -- -E 15 -R 1.0 -S 1 -I 50 -W weka.classifiers.trees.J48 -- -C 0.25 -M 2 E 15 584 R 1.0 584 S 1 584 I 50 584 weka weka_3.7.12-SNAPSHOT 395 re1.wc https://www.openml.org/data/download/52507/re1.wc.arff -1 485014 description https://api.openml.org/data/download/485014/weka_generated_run7427133501311194429.xml -1 485017 model_readable https://api.openml.org/data/download/485017/WekaModel_weka.classifiers.meta.Decorate2197829812657185383.model -1 485016 model_serialized https://api.openml.org/data/download/485016/WekaSerialized_weka.classifiers.meta.Decorate9029217873903826738.model -1 485015 predictions https://api.openml.org/data/download/485015/weka_generated_predictions7728344482814807712.arff area_under_roc_curve 0.963809 [0.993423,0.958445,0.982274,0.999076,0.999283,0.989688,0.972935,0.968158,0.831052,0.999553,0.957935,0.927856,0.923588,0.929192,0.974676,0.920044,0.999485,0.943207,0.983712,0.931132,0.992014,0.970629,0.946817,0.891251,0.944111] average_cost 0 f_measure 0.802583 [0.912281,0.526316,0.923077,0.955224,0.947368,0.5,0.869814,0.8,0.222222,0.960452,0.828784,0.866667,0.540541,0.111111,0.72,0.486486,0.857143,0.333333,0.984127,0.653696,0.957746,0.941176,0.75969,0.222222,0.888889] kappa 0.790219 kb_relative_information_score 1309.839864 mean_absolute_error 0.019595 mean_prior_absolute_error 0.070994 number_of_instances 1657 [31,20,48,99,37,17,330,20,19,87,371,31,42,15,27,50,13,18,32,137,106,18,60,19,10] os_information [Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64] precision 0.805262 [1,0.555556,0.976744,0.941176,0.923077,0.636364,0.823848,0.72,0.375,0.944444,0.767816,0.896552,0.625,0.333333,0.782609,0.75,0.8,0.666667,1,0.7,0.953271,1,0.710145,0.375,1] predictive_accuracy 0.816536 prior_entropy 3.812516 recall 0.816536 [0.83871,0.5,0.875,0.969697,0.972973,0.411765,0.921212,0.9,0.157895,0.977011,0.90027,0.83871,0.47619,0.066667,0.666667,0.36,0.923077,0.222222,0.96875,0.613139,0.962264,0.888889,0.816667,0.157895,0.8] relative_absolute_error 0.276012 root_mean_prior_squared_error 0.188293 root_mean_squared_error 0.105705 root_relative_squared_error 0.561385 scimark_benchmark 929.025506 [552.1496309692806, 1012.5880246437401, 465.83158043487504, 894.9948362526787, 1719.5634571666167] total_cost 0 usercpu_time_millis 4342480 usercpu_time_millis_testing 1320 usercpu_time_millis_training 4341160 area_under_roc_curve 0.953797 [1,0.990854,1,0.999359,1,0.993902,0.944293,0.993902,0.41311,1,0.942803,0.761759,0.904321,0.69697,0.990854,0.963975,1,0.981707,1,0.943942,1,1,1,0.935976,1] area_under_roc_curve 0.977144 [1,0.993902,1,1,1,1,0.993165,1,1,1,0.957888,0.994888,0.80787,0.993902,1,0.870186,1,0.996951,1,0.977627,1,1,0.979167,0.934451,1] area_under_roc_curve 0.959755 [1,0.984756,1,1,0.993827,0.934451,0.980519,1,0.903963,1,0.956736,0.99182,0.996914,0.978659,0.929878,0.863354,1,0.879573,0.833333,0.917798,0.985924,0.733232,0.982292,0.993939,0.454545] area_under_roc_curve 0.978088 [1,1,0.853416,1,1,0.987805,0.987583,1,0.952744,1,0.983868,0.793456,0.998457,0.993902,0.997955,0.950311,1,0.990854,1,0.971805,1,1,0.994792,0.778963,1] area_under_roc_curve 0.950152 [1,1,0.988426,0.995833,1,0.996951,0.986557,1,0.75,0.998585,0.92269,1,0.978395,0.908537,1,0.952795,1,0.996951,1,0.828242,0.998718,1,0.777083,0.95122,1] area_under_roc_curve 0.96684 [1,0.681402,1,1,1,1,0.960014,1,0.963415,1,0.971402,1,0.963735,0.996951,1,0.947826,1,0.678354,1,0.978383,0.96859,1,0.996354,0.63872,1] area_under_roc_curve 0.955314 [1,0.996951,1,0.999359,0.998457,0.996951,0.962178,0.739329,0.983232,0.999292,0.966059,1,0.819444,0.987879,0.91411,0.904348,0.993939,0.996951,1,0.860432,1,1,0.866667,0.954268,1] area_under_roc_curve 0.978068 [1,0.996933,1,1,1,1,0.974174,1,0.967791,1,0.972441,1,0.854375,0.945122,0.935185,0.96125,1,1,1,0.970435,0.997934,1,0.993711,0.998466,1] area_under_roc_curve 0.96375 [0.9393,0.957055,1,1,1,1,0.982553,1,0.843558,1,0.941829,1,0.9625,0.853659,1,0.86,1,1,1,0.939451,0.99144,1,0.89413,0.969325,1] area_under_roc_curve 0.970656 [1,0.984663,1,1,1,1,0.959366,0.98773,0.67638,0.998408,0.976879,0.824534,0.993789,0.963415,0.993827,0.9975,1,0.98773,1,0.934248,1,1,0.995807,0.917178,1] 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 0.783602 [0.666667,0.4,0.888889,0.952381,1,0.571429,0.925373,0.571429,0,1,0.78481,0.5,0,0,0.666667,0.571429,0.8,0,1,0.592593,1,1,0.909091,0.666667,1] f_measure 0.785886 [1,0,0.909091,0.947368,1,0,0.898551,1,0.5,1,0.857143,0.857143,0.2,0,0.5,0,1,0,1,0.666667,1,1,0.533333,0.666667,1] f_measure 0.814147 [1,0.666667,1,0.952381,0.888889,0.666667,0.84507,1,0,1,0.860759,0.8,0.888889,0.666667,0.666667,0.571429,1,0,0.8,0.714286,0.952381,0.666667,0.615385,0,0] f_measure 0.816375 [1,1,0.75,0.947368,1,0,0.90411,0.8,0,1,0.843373,0.666667,0.75,0,0.666667,0.666667,1,0,1,0.782609,0.952381,0.666667,0.909091,0,1] f_measure 0.702021 [1,0.666667,0.857143,0.909091,0.857143,0.5,0.849315,0.8,0,0.857143,0.738095,1,0,0,0.8,0,1,0.666667,1,0.347826,0.9,1,0.666667,0,0] f_measure 0.789689 [1,0,0.857143,1,1,0,0.823529,1,0.5,1,0.820513,1,0.571429,0,1,0.5,0,0,1,0.774194,0.9,1,0.75,0,1] f_measure 0.799547 [0.8,0.5,0.888889,0.952381,0.888889,0.666667,0.833333,0.5,0,0.888889,0.875,0.857143,0.75,0,0.5,0.5,0.666667,0.5,1,0.695652,1,1,0.769231,0,1] f_measure 0.851488 [1,0.8,1,1,1,0,0.895522,1,0.666667,1,0.864198,1,0.333333,0,0.5,0.75,1,1,1,0.740741,0.916667,1,0.8,0.5,1] f_measure 0.809313 [0.8,0.5,1,0.947368,0.857143,1,0.869565,1,0,0.933333,0.819277,1,0.75,0,1,0.285714,0.666667,1,1,0.56,0.952381,1,0.909091,0,1] f_measure 0.807065 [0.8,0.5,1,0.947368,1,1,0.857143,0.5,0,0.941176,0.829268,0.857143,0.75,0,0.666667,0.75,1,0,1,0.615385,1,1,0.833333,0,1] kappa 0.774029 kappa 0.781129 kappa 0.807089 kappa 0.820002 kappa 0.701589 kappa 0.787329 kappa 0.793335 kappa 0.847601 kappa 0.791754 kappa 0.798357 kb_relative_information_score 128.958775 kb_relative_information_score 136.071429 kb_relative_information_score 129.285926 kb_relative_information_score 136.11803 kb_relative_information_score 121.405814 kb_relative_information_score 132.55483 kb_relative_information_score 130.324948 kb_relative_information_score 134.461715 kb_relative_information_score 129.189709 kb_relative_information_score 131.468687 mean_absolute_error 0.021104 mean_absolute_error 0.018582 mean_absolute_error 0.019259 mean_absolute_error 0.017091 mean_absolute_error 0.023225 mean_absolute_error 0.020023 mean_absolute_error 0.020309 mean_absolute_error 0.018052 mean_absolute_error 0.019282 mean_absolute_error 0.019012 mean_prior_absolute_error 0.071023 mean_prior_absolute_error 0.071028 mean_prior_absolute_error 0.071028 mean_prior_absolute_error 0.071038 mean_prior_absolute_error 0.071023 mean_prior_absolute_error 0.071023 mean_prior_absolute_error 0.071014 mean_prior_absolute_error 0.070856 mean_prior_absolute_error 0.070954 mean_prior_absolute_error 0.070957 number_of_instances 166 [4,2,5,10,4,2,33,2,2,9,37,3,4,1,2,5,2,2,3,13,11,1,6,2,1] number_of_instances 166 [3,2,5,10,4,2,33,2,1,9,37,3,4,2,2,5,2,2,3,13,11,2,6,2,1] number_of_instances 166 [3,2,5,10,4,2,33,2,2,9,37,3,4,2,2,5,2,2,3,13,11,2,6,1,1] number_of_instances 166 [3,2,5,9,4,2,33,2,2,9,37,3,4,2,3,5,1,2,3,14,10,2,6,2,1] number_of_instances 166 [3,2,4,10,4,2,33,2,2,9,37,3,4,2,3,5,1,2,3,14,10,2,6,2,1] number_of_instances 166 [3,2,4,10,4,2,33,2,2,9,37,3,4,2,3,5,1,2,3,14,10,2,6,2,1] number_of_instances 166 [3,2,5,10,4,2,33,2,2,9,37,3,4,1,3,5,1,2,3,14,10,2,6,2,1] number_of_instances 165 [3,2,5,10,3,1,33,2,2,8,38,3,5,1,3,5,1,1,3,14,11,2,6,2,1] number_of_instances 165 [3,2,5,10,3,1,33,2,2,8,37,3,5,1,3,5,1,1,4,14,11,2,6,2,1] number_of_instances 165 [3,2,5,10,3,1,33,2,2,8,37,4,4,1,3,5,1,2,4,14,11,1,6,2,1] precision 0.798297 [1,0.333333,1,0.909091,1,0.4,0.911765,0.4,0,1,0.738095,1,0,0,0.5,1,0.666667,0,1,0.571429,1,1,1,1,1] precision 0.773973 [1,0,0.833333,1,1,0,0.861111,1,0.333333,1,0.825,0.75,0.166667,0,0.5,0,1,0,1,0.727273,1,1,0.444444,1,1] precision 0.822838 [1,1,1,0.909091,0.8,1,0.789474,1,0,1,0.809524,1,0.8,1,1,1,1,0,1,0.666667,1,1,0.571429,0,0] precision 0.811153 [1,1,1,0.9,1,0,0.825,0.666667,0,1,0.76087,0.666667,0.75,0,0.666667,0.75,1,0,1,1,0.909091,1,1,0,1] precision 0.684447 [1,1,1,0.833333,1,0.5,0.775,0.666667,0,0.75,0.659574,1,0,0,1,0,1,1,1,0.444444,0.9,1,0.666667,0,0] precision 0.775665 [1,0,1,1,1,0,0.8,1,0.5,1,0.780488,1,0.666667,0,1,0.666667,0,0,1,0.705882,0.9,1,0.6,0,1] precision 0.804851 [1,0.5,1,0.909091,0.8,1,0.769231,0.5,0,0.888889,0.813953,0.75,0.75,0,1,0.666667,0.5,0.5,1,0.888889,1,1,0.714286,0,1] precision 0.869443 [1,0.666667,1,1,1,0,0.882353,1,1,1,0.813953,1,1,0,1,1,1,1,1,0.769231,0.846154,1,0.666667,0.5,1] precision 0.818224 [1,0.5,1,1,0.75,1,0.833333,1,0,1,0.73913,1,1,0,1,0.5,0.5,1,1,0.636364,1,1,1,0,1] precision 0.80095 [1,0.5,1,1,1,1,0.810811,0.5,0,0.888889,0.755556,1,0.75,0,0.666667,1,1,0,1,0.666667,1,1,0.833333,0,1] predictive_accuracy 0.801205 predictive_accuracy 0.807229 predictive_accuracy 0.831325 predictive_accuracy 0.843373 predictive_accuracy 0.740964 predictive_accuracy 0.813253 predictive_accuracy 0.819277 predictive_accuracy 0.866667 predictive_accuracy 0.818182 predictive_accuracy 0.824242 prior_entropy 3.812516 prior_entropy 3.812516 prior_entropy 3.812516 prior_entropy 3.812516 prior_entropy 3.812516 prior_entropy 3.812516 prior_entropy 3.812516 prior_entropy 3.812516 prior_entropy 3.812516 prior_entropy 3.812516 recall 0.801205 [0.5,0.5,0.8,1,1,1,0.939394,1,0,1,0.837838,0.333333,0,0,1,0.4,1,0,1,0.615385,1,1,0.833333,0.5,1] recall 0.807229 [1,0,1,0.9,1,0,0.939394,1,1,1,0.891892,1,0.25,0,0.5,0,1,0,1,0.615385,1,1,0.666667,0.5,1] recall 0.831325 [1,0.5,1,1,1,0.5,0.909091,1,0,1,0.918919,0.666667,1,0.5,0.5,0.4,1,0,0.666667,0.769231,0.909091,0.5,0.666667,0,0] recall 0.843373 [1,1,0.6,1,1,0,1,1,0,1,0.945946,0.666667,0.75,0,0.666667,0.6,1,0,1,0.642857,1,0.5,0.833333,0,1] recall 0.740964 [1,0.5,0.75,1,0.75,0.5,0.939394,1,0,1,0.837838,1,0,0,0.666667,0,1,0.5,1,0.285714,0.9,1,0.666667,0,0] recall 0.813253 [1,0,0.75,1,1,0,0.848485,1,0.5,1,0.864865,1,0.5,0,1,0.4,0,0,1,0.857143,0.9,1,1,0,1] recall 0.819277 [0.666667,0.5,0.8,1,1,0.5,0.909091,0.5,0,0.888889,0.945946,1,0.75,0,0.333333,0.4,1,0.5,1,0.571429,1,1,0.833333,0,1] recall 0.866667 [1,1,1,1,1,0,0.909091,1,0.5,1,0.921053,1,0.2,0,0.333333,0.6,1,1,1,0.714286,1,1,1,0.5,1] recall 0.818182 [0.666667,0.5,1,0.9,1,1,0.909091,1,0,0.875,0.918919,1,0.6,0,1,0.2,1,1,1,0.5,0.909091,1,0.833333,0,1] recall 0.824242 [0.666667,0.5,1,0.9,1,1,0.909091,0.5,0,1,0.918919,0.75,0.75,0,0.666667,0.6,1,0,1,0.571429,1,1,0.833333,0,1] relative_absolute_error 0.297148 relative_absolute_error 0.261609 relative_absolute_error 0.271151 relative_absolute_error 0.240589 relative_absolute_error 0.327006 relative_absolute_error 0.281916 relative_absolute_error 0.28599 relative_absolute_error 0.254767 relative_absolute_error 0.271752 relative_absolute_error 0.267933 root_mean_prior_squared_error 0.188368 root_mean_prior_squared_error 0.188381 root_mean_prior_squared_error 0.188381 root_mean_prior_squared_error 0.188408 root_mean_prior_squared_error 0.188369 root_mean_prior_squared_error 0.188369 root_mean_prior_squared_error 0.188344 root_mean_prior_squared_error 0.187924 root_mean_prior_squared_error 0.188184 root_mean_prior_squared_error 0.188192 root_mean_squared_error 0.11077 root_mean_squared_error 0.102168 root_mean_squared_error 0.10502 root_mean_squared_error 0.093464 root_mean_squared_error 0.124302 root_mean_squared_error 0.104134 root_mean_squared_error 0.108362 root_mean_squared_error 0.096802 root_mean_squared_error 0.105647 root_mean_squared_error 0.103339 root_relative_squared_error 0.588048 root_relative_squared_error 0.542344 root_relative_squared_error 0.557484 root_relative_squared_error 0.496071 root_relative_squared_error 0.659887 root_relative_squared_error 0.552821 root_relative_squared_error 0.575338 root_relative_squared_error 0.515109 root_relative_squared_error 0.561402 root_relative_squared_error 0.549113 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 7203980 usercpu_time_millis 7570190 usercpu_time_millis 5984460 usercpu_time_millis 4567210 usercpu_time_millis 4323350 usercpu_time_millis 7249620 usercpu_time_millis 7221090 usercpu_time_millis 7206110 usercpu_time_millis 7061540 usercpu_time_millis 6189180 usercpu_time_millis_testing 140 usercpu_time_millis_testing 120 usercpu_time_millis_testing 130 usercpu_time_millis_testing 150 usercpu_time_millis_testing 130 usercpu_time_millis_testing 90 usercpu_time_millis_testing 100 usercpu_time_millis_testing 110 usercpu_time_millis_testing 130 usercpu_time_millis_testing 130 usercpu_time_millis_training 7203840 usercpu_time_millis_training 7570070 usercpu_time_millis_training 5984330 usercpu_time_millis_training 4567060 usercpu_time_millis_training 4323220 usercpu_time_millis_training 7249530 usercpu_time_millis_training 7220990 usercpu_time_millis_training 7206000 usercpu_time_millis_training 7061410 usercpu_time_millis_training 6189050