150 1 Jan van Rijn 7 Supervised Classification predictive_accuracy 57 weka.OneR(1) 2 weka.classifiers.rules.OneR -- -B 6 B 6 57 7 audiology https://www.openml.org/data/download/7/dataset_7_audiology.arff -1 361 description https://api.openml.org/data/download/361/weka_generated_run7119649715844860851.xml -1 362 predictions https://api.openml.org/data/download/362/weka_generated_predictions5744239207918449010.arff area_under_roc_curve 0.654877 [0.5,0.5,0.89645,0.5,0.5,0.5,0.5,0.758427,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5] average_cost 0 f_measure 0.304997 [0,0,0.765101,0,0,0,0,0.527473,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0] kappa 0.305939 kb_relative_information_score 61.189467 mean_absolute_error 0.044617 mean_prior_absolute_error 0.072392 number_of_instances 226 [1,1,57,22,1,2,20,48,2,6,2,4,2,2,9,3,1,2,22,4,1,4,8,2] os_information [ Oracle Corporation, 1.7.0_51, amd64, Linux, 3.7.10-1.28-desktop ] precision 0.232342 [0,0,0.619565,0,0,0,0,0.358209,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0] predictive_accuracy 0.464602 prior_entropy 3.634907 recall 0.464602 [0,0,1,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0] relative_absolute_error 0.616316 root_mean_prior_squared_error 0.189308 root_mean_squared_error 0.211226 root_relative_squared_error 1.115779 scimark_benchmark 1972.2233609138693 [ 1228.7711505480327, 1603.7910234713668, 932.0674992283984, 1670.7711857487384, 4425.715945572811 ] total_cost 0 area_under_roc_curve 0.661765 [0.0,0.0,0.911765,0.5,0.0,0.5,0.5,0.75,0.0,0.0,0.0,0.0,0.0,0.0,0.5,0.0,0.0,0.5,0.5,0.5,0.0,0.0,0.5,0.0] area_under_roc_curve 0.658497 [0.0,0.0,0.852941,0.5,0.0,0.5,0.5,0.805556,0.0,0.0,0.5,0.0,0.5,0.0,0.5,0.0,0.0,0.0,0.5,0.5,0.0,0.0,0.5,0.0] area_under_roc_curve 0.658497 [0.0,0.0,0.852941,0.5,0.0,0.0,0.5,0.805556,0.0,0.0,0.5,0.0,0.5,0.0,0.5,0.0,0.0,0.0,0.5,0.5,0.5,0.0,0.5,0.0] area_under_roc_curve 0.663399 [0.5,0.0,0.941176,0.5,0.0,0.0,0.5,0.722222,0.0,0.5,0.0,0.0,0.0,0.5,0.5,0.0,0.0,0.0,0.5,0.0,0.0,0.5,0.5,0.0] area_under_roc_curve 0.661765 [0.0,0.0,0.911765,0.5,0.5,0.0,0.5,0.75,0.0,0.5,0.0,0.0,0.0,0.5,0.5,0.0,0.0,0.0,0.5,0.0,0.0,0.5,0.5,0.0] area_under_roc_curve 0.638889 [0.0,0.0,0.916667,0.5,0.0,0.0,0.5,0.722222,0.0,0.5,0.0,0.5,0.0,0.0,0.5,0.0,0.5,0.0,0.5,0.0,0.0,0.5,0.5,0.5] area_under_roc_curve 0.647059 [0.0,0.0,0.882353,0.5,0.0,0.0,0.5,0.764706,0.0,0.5,0.0,0.5,0.0,0.0,0.5,0.5,0.0,0.0,0.5,0.0,0.0,0.5,0.0,0.5] area_under_roc_curve 0.647059 [0.0,0.0,0.911765,0.5,0.0,0.0,0.5,0.735294,0.5,0.5,0.0,0.5,0.0,0.0,0.5,0.5,0.0,0.0,0.5,0.0,0.0,0.0,0.0,0.0] area_under_roc_curve 0.65625 [0.0,0.0,0.90625,0.5,0.0,0.0,0.5,0.75,0.5,0.5,0.0,0.5,0.0,0.0,0.0,0.5,0.0,0.0,0.5,0.0,0.0,0.0,0.5,0.0] area_under_roc_curve 0.652778 [0.0,0.5,0.875,0.5,0.0,0.0,0.5,0.777778,0.0,0.0,0.0,0.0,0.0,0.0,0.5,0.0,0.0,0.5,0.5,0.5,0.0,0.0,0.5,0.0] 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 average_cost 0 build_cpu_time 0.001 build_cpu_time 0.001 build_cpu_time 0 build_cpu_time 0 build_cpu_time 0 build_cpu_time 0.001 build_cpu_time 0 build_cpu_time 0 build_cpu_time 0 build_cpu_time 0 f_measure 0.323112 [0,0,0.8,0,0,0,0,0.526316,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0] f_measure 0.31202 [0,0,0.705882,0,0,0,0,0.588235,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0] f_measure 0.31202 [0,0,0.705882,0,0,0,0,0.588235,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0] f_measure 0.332298 [0,0,0.857143,0,0,0,0,0.5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0] f_measure 0.323112 [0,0,0.8,0,0,0,0,0.526316,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0] f_measure 0.27592 [0,0,0.769231,0,0,0,0,0.5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0] f_measure 0.2886 [0,0,0.714286,0,0,0,0,0.555556,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0] f_measure 0.294442 [0,0,0.769231,0,0,0,0,0.526316,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0] f_measure 0.303743 [0,0,0.8,0,0,0,0,0.470588,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0] f_measure 0.295455 [0,0,0.75,0,0,0,0,0.5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0] kappa 0.318519 kappa 0.315136 kappa 0.315136 kappa 0.320197 kappa 0.318519 kappa 0.277778 kappa 0.294118 kappa 0.294118 kappa 0.301587 kappa 0.297872 kb_relative_information_score 6.403764 kb_relative_information_score 6.437277 kb_relative_information_score 6.438881 kb_relative_information_score 6.432401 kb_relative_information_score 6.432401 kb_relative_information_score 5.844504 kb_relative_information_score 5.855842 kb_relative_information_score 5.825555 kb_relative_information_score 5.760279 kb_relative_information_score 5.758563 mean_absolute_error 0.043478 mean_absolute_error 0.043478 mean_absolute_error 0.043478 mean_absolute_error 0.043478 mean_absolute_error 0.043478 mean_absolute_error 0.047101 mean_absolute_error 0.045455 mean_absolute_error 0.045455 mean_absolute_error 0.045455 mean_absolute_error 0.045455 mean_prior_absolute_error 0.072029 mean_prior_absolute_error 0.072319 mean_prior_absolute_error 0.072333 mean_prior_absolute_error 0.072275 mean_prior_absolute_error 0.072275 mean_prior_absolute_error 0.073043 mean_prior_absolute_error 0.072682 mean_prior_absolute_error 0.072409 mean_prior_absolute_error 0.072288 mean_prior_absolute_error 0.072273 number_of_instances 23 [0,0,6,3,0,1,2,5,0,0,0,0,0,0,1,0,0,1,2,1,0,0,1,0] number_of_instances 23 [0,0,6,2,0,1,2,5,0,0,1,0,1,0,1,0,0,0,2,1,0,0,1,0] number_of_instances 23 [0,0,6,2,0,0,2,5,0,0,1,0,1,0,1,0,0,0,2,1,1,0,1,0] number_of_instances 23 [1,0,6,2,0,0,2,5,0,1,0,0,0,1,1,0,0,0,2,0,0,1,1,0] number_of_instances 23 [0,0,6,2,1,0,2,5,0,1,0,0,0,1,1,0,0,0,2,0,0,1,1,0] number_of_instances 23 [0,0,5,2,0,0,2,5,0,1,0,1,0,0,1,0,1,0,2,0,0,1,1,1] number_of_instances 22 [0,0,5,2,0,0,2,5,0,1,0,1,0,0,1,1,0,0,2,0,0,1,0,1] number_of_instances 22 [0,0,5,2,0,0,2,5,1,1,0,1,0,0,1,1,0,0,3,0,0,0,0,0] number_of_instances 22 [0,0,6,2,0,0,2,4,1,1,0,1,0,0,0,1,0,0,3,0,0,0,1,0] number_of_instances 22 [0,1,6,3,0,0,2,4,0,0,0,0,0,0,1,0,0,1,2,1,0,0,1,0] precision 0.251553 [0,0,0.666667,0,0,0,0,0.357143,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0] precision 0.232872 [0,0,0.545455,0,0,0,0,0.416667,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0] precision 0.232872 [0,0,0.545455,0,0,0,0,0.416667,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0] precision 0.268116 [0,0,0.75,0,0,0,0,0.333333,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0] precision 0.251553 [0,0,0.666667,0,0,0,0,0.357143,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0] precision 0.208333 [0,0,0.625,0,0,0,0,0.333333,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0] precision 0.213675 [0,0,0.555556,0,0,0,0,0.384615,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0] precision 0.223214 [0,0,0.625,0,0,0,0,0.357143,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0] precision 0.237762 [0,0,0.666667,0,0,0,0,0.307692,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0] precision 0.224242 [0,0,0.6,0,0,0,0,0.333333,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0] predictive_accuracy 0.478261 predictive_accuracy 0.478261 predictive_accuracy 0.478261 predictive_accuracy 0.478261 predictive_accuracy 0.478261 predictive_accuracy 0.434783 predictive_accuracy 0.454545 predictive_accuracy 0.454545 predictive_accuracy 0.454545 predictive_accuracy 0.454545 prior_entropy 3.634907 prior_entropy 3.634907 prior_entropy 3.634907 prior_entropy 3.634907 prior_entropy 3.634907 prior_entropy 3.634907 prior_entropy 3.634907 prior_entropy 3.634907 prior_entropy 3.634907 prior_entropy 3.634907 recall 0.478261 [0,0,1,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0] recall 0.478261 [0,0,1,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0] recall 0.478261 [0,0,1,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0] recall 0.478261 [0,0,1,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0] recall 0.478261 [0,0,1,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0] recall 0.434783 [0,0,1,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0] recall 0.454545 [0,0,1,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0] recall 0.454545 [0,0,1,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0] recall 0.454545 [0,0,1,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0] recall 0.454545 [0,0,1,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0] relative_absolute_error 0.603622 relative_absolute_error 0.601202 relative_absolute_error 0.601082 relative_absolute_error 0.601564 relative_absolute_error 0.601564 relative_absolute_error 0.644841 relative_absolute_error 0.625391 relative_absolute_error 0.627746 relative_absolute_error 0.628799 relative_absolute_error 0.628931 root_mean_prior_squared_error 0.188346 root_mean_prior_squared_error 0.189114 root_mean_prior_squared_error 0.189152 root_mean_prior_squared_error 0.188999 root_mean_prior_squared_error 0.188999 root_mean_prior_squared_error 0.19102 root_mean_prior_squared_error 0.190071 root_mean_prior_squared_error 0.189353 root_mean_prior_squared_error 0.189032 root_mean_prior_squared_error 0.188992 root_mean_squared_error 0.208514 root_mean_squared_error 0.208514 root_mean_squared_error 0.208514 root_mean_squared_error 0.208514 root_mean_squared_error 0.208514 root_mean_squared_error 0.217029 root_mean_squared_error 0.213201 root_mean_squared_error 0.213201 root_mean_squared_error 0.213201 root_mean_squared_error 0.213201 root_relative_squared_error 1.10708 root_relative_squared_error 1.102585 root_relative_squared_error 1.102361 root_relative_squared_error 1.103256 root_relative_squared_error 1.103256 root_relative_squared_error 1.136154 root_relative_squared_error 1.121687 root_relative_squared_error 1.125945 root_relative_squared_error 1.127853 root_relative_squared_error 1.128093 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