2040454 2742 Wouter Nuijten 145682 Supervised Classification area_under_roc_curve 5921 weka.Bagging_J48(9) 181175 weka.classifiers.meta.Bagging -- -P 100 -S 1 -num-slots 1 -I 100 -W weka.classifiers.trees.J48 -- -C 0.5 -M 3 C 0.5 5886 M 3 5886 P 100 5921 S 1 5921 num-slots 1 5921 I 100 5921 W weka.classifiers.trees.J48 5921 weka weka_3.8.1 313 spectrometer https://www.openml.org/data/download/52217/phpHNcI2h -1 5030781 description https://api.openml.org/data/download/5030781/weka_generated_run6765789216259928558.xml -1 5030783 model_readable https://api.openml.org/data/download/5030783/WekaModel_weka.classifiers.meta.Bagging2629262568305730519.model -1 5030782 model_serialized https://api.openml.org/data/download/5030782/WekaSerialized_weka.classifiers.meta.Bagging4162415968411828501.model -1 5030784 predictions https://api.openml.org/data/download/5030784/weka_generated_predictions3612646593277890141.arff area_under_roc_curve 0.946229 [0.699811,0.424528,0.806025,0.403774,0.983932,0.926768,0.98714,0.987015,0.967478,0.990848,0.999315,0.917054,0.949074,0.951032,0.961349,0.928351,0.957818,0.940092,0.950044,0.990336,0.975521,0.976775,0.976755,0.99241,0.972854,0.438679,0.427358,0.995581,0.993056,0.884321,0.974851,0.9318,0.985705,0.995817,0.430189,0.688563,0.361321,0.382075,0.421698,0.992424,0.994318,0.91966,0.427358,0.428302,0.987374,0.421698,0.424528,0.433962] average_cost 0 f_measure 0.543817 [0,0,0,0,0,0,0.526316,0.830189,0.75,0.769231,0.943396,0.466667,0.566667,0.492308,0.444444,0.363636,0.508475,0.434783,0.516129,0.8,0.545455,0.416667,0,0.363636,0,0,0,0.571429,0,0,0.764706,0.473684,0.648649,0,0,0,0,0,0,0.333333,0.4,0,0,0,0.333333,0,0,0] kappa 0.543758 kb_relative_information_score 305.061175 mean_absolute_error 0.024982 mean_prior_absolute_error 0.039641 number_of_instances 531 [3,1,7,1,2,3,10,24,13,12,26,15,27,31,19,19,30,35,42,55,9,10,4,4,3,1,1,3,3,8,45,20,18,5,1,2,1,1,1,3,3,2,1,1,3,1,1,1] precision 0.527385 [0,0,0,0,0,0,0.555556,0.758621,0.818182,0.714286,0.925926,0.466667,0.515152,0.470588,0.470588,0.428571,0.517241,0.441176,0.470588,0.8,0.461538,0.357143,0,0.285714,0,0,0,0.5,0,0,0.684211,0.5,0.631579,0,0,0,0,0,0,0.333333,0.5,0,0,0,0.222222,0,0,0] predictive_accuracy 0.568738 prior_entropy 4.846691 recall 0.568738 [0,0,0,0,0,0,0.5,0.916667,0.692308,0.833333,0.961538,0.466667,0.62963,0.516129,0.421053,0.315789,0.5,0.428571,0.571429,0.8,0.666667,0.5,0,0.5,0,0,0,0.666667,0,0,0.866667,0.45,0.666667,0,0,0,0,0,0,0.333333,0.333333,0,0,0,0.666667,0,0,0] relative_absolute_error 0.630204 root_mean_prior_squared_error 0.140616 root_mean_squared_error 0.108606 root_relative_squared_error 0.772359 total_cost 0 area_under_roc_curve 0.949487 [0.0,0.0,0.943396,0.0,0.0,1,0.981132,1,0.924528,1,1,0.961538,0.986928,0.960784,0.971154,0.980769,1,0.955,0.93,1,0.981132,1,0.0,1,0.0,0.0,0.0,0.0,0.0,0.811321,0.991837,0.980769,1,0.0,0.5,0.0,0.0,0.0,0.5,1,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.5] area_under_roc_curve 0.934477 [0.0,0.0,0.788462,0.5,1,0.923077,1,1,1,1,1,0.980392,0.98,0.913333,0.872549,1,0.96,0.943878,0.959184,0.975,0.923077,1,0.0,0.980769,0.0,0.5,0.0,0.0,0.0,0.903846,1,0.627451,1,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0] area_under_roc_curve 0.956651 [0.0,0.0,0.923077,0.0,0.980769,0.0,0.980769,1,1,1,1,0.607843,0.806667,0.98,1,0.970588,0.966667,0.973333,0.97449,0.985816,0.980769,0.980769,0.0,1,0.0,0.0,0.0,1,0.0,1,1,0.901961,0.970588,0.980769,0.0,0.0,0.0,0.0,0.0,0.0,0.980769,0.0,0.0,0.0,0.0,0.0,0.0,0.0] area_under_roc_curve 0.981518 [0.0,0.0,1,0.0,0.0,0.0,1,1,1,1,1,1,0.993333,0.953333,0.960784,0.95098,0.953333,0.946667,0.943878,0.996454,1,1,1,0.980769,0.0,0.0,0.0,1,0.0,0.942308,0.994898,1,1,1,0.0,0.0,0.0,0.0,0.0,0.0,1,0.0,0.0,0.0,0.0,0.0,0.0,0.0] area_under_roc_curve 0.944328 [0.0,0.5,0.163462,0.0,0.0,0.0,0.980769,1,0.921569,1,1,0.931373,0.980392,0.98,0.960784,0.923077,0.94,0.96,0.994898,0.996454,1,0.923077,1,0.0,0.0,0.0,0.0,1,0.0,0.615385,0.94898,0.990196,0.980769,1,0.0,0.0,0.0,0.0,0.0,0.0,1,0.0,0.0,0.0,1,0.0,0.0,0.0] area_under_roc_curve 0.963657 [0.0,0.0,1,0.0,0.0,0.0,0.980769,1,1,1,1,1,1,0.973333,0.980392,0.941176,0.966667,0.886667,0.908163,0.978723,0.942308,1,1,0.0,0.0,0.0,0.0,0.0,1,0.923077,0.959184,0.911765,0.970588,0.961538,0.0,0.836538,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1,0.0,0.0,0.0] area_under_roc_curve 0.964773 [0.0,0.0,0.980769,0.0,0.0,0.0,1,1,0.843137,1,1,1,0.990196,0.96,1,0.852941,0.94,0.933333,0.908163,0.992908,0.0,0.961538,0.980769,0.0,0.0,0.0,0.0,0.0,1,0.0,0.995833,0.980392,0.990196,1,0.0,0.865385,0.0,0.0,0.0,0.0,0.0,0.961538,0.0,0.0,1,0.0,0.0,0.0] area_under_roc_curve 0.943184 [1,0.0,0.0,0.0,0.0,0.0,1,0.892157,1,1,1,0.961538,0.973333,0.918367,0.901961,0.95098,0.946667,0.887755,0.9625,1,1,0.980769,0.0,0.0,1,0.0,0.0,0.0,1,0.0,0.975,1,0.990196,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.903846,0.5,0.0,0.0,0.0,0.5,0.0] area_under_roc_curve 0.940853 [0.942308,0.0,0.0,0.0,0.0,0.0,1,1,1,0.980392,1,0.980769,0.96,0.893333,1,0.970588,0.92,0.954082,0.975,0.9875,1,1,0.0,0.0,1,0.0,0.0,0.0,0.0,0.903846,0.9375,1,1,0.0,0.0,0.0,0.5,0.0,0.0,1,0.0,0.0,0.0,0.5,0.0,0.5,0.0,0.0] area_under_roc_curve 0.932532 [0.336538,0.0,0.0,0.0,0.0,0.942308,0.980769,0.970588,1,1,1,0.923077,0.92,0.973333,0.990196,0.803922,0.953333,0.938776,0.964286,0.9875,1,0.980769,0.0,0.0,0.961538,0.0,0.5,0.0,0.0,0.942308,0.975,0.941176,0.990196,0.0,0.0,0.0,0.0,0.5,0.0,1,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0] 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 f_measure 0.499267 [0,0,0,0,0,0,0.666667,0.666667,0,0.666667,1,0,0.666667,0.571429,0,0.666667,0.8,0.444444,0.444444,0.888889,0.666667,0,0,0,0,0,0,0,0,0,0.769231,0,0.666667,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0] f_measure 0.460108 [0,0,0,0,0,0,0,0.666667,0,1,1,0.5,0.666667,0.5,0,0.8,0.4,0.571429,0.6,0.666667,0,0,0,0,0,0,0,0,0,0,0.6,0,0.666667,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0] f_measure 0.56917 [0,0,0,0,0,0,0.666667,0.8,1,1,0.857143,0,0.333333,0.571429,1,0.5,0.666667,0.75,0.5,0.727273,0,0,0,1,0,0,0,0,0,0,1,0.5,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0] f_measure 0.62956 [0,0,0,0,0,0,1,1,1,0.666667,0.8,0.8,0.857143,0.4,0.4,0,0.8,0.4,0.4,0.833333,1,0.5,0,1,0,0,0,1,0,0,0.857143,0.666667,0.666667,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0] f_measure 0.567662 [0,0,0,0,0,0,1,1,0.666667,1,1,0,0.5,0.5,0,0,0.333333,0.571429,0.666667,0.923077,0.666667,0,0,0,0,0,0,1,0,0,0.666667,0.666667,0.666667,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0] f_measure 0.449449 [0,0,0,0,0,0,0,1,0.8,0,1,1,0.8,0.444444,0,0,0.571429,0,0.5,0.727273,0,0.666667,0,0,0,0,0,0,0,0,0.6,0,0.571429,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0] f_measure 0.515813 [0,0,0,0,0,0,0,0.857143,0.666667,1,1,1,0.666667,0.333333,0.666667,0,0.571429,0,0.4,0.714286,0,0,0,0,0,0,0,0,0,0,0.833333,0.5,0.5,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0] f_measure 0.504422 [0,0,0,0,0,0,0,0.666667,0.666667,1,1,0.5,0,0.285714,0.4,0.5,0.285714,0.222222,0.5,0.909091,1,1,0,0,0,0,0,0,0,0,0.833333,0.666667,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0] f_measure 0.5792 [0,0,0,0,0,0,0.666667,1,1,0.5,0.8,1,0.571429,0.4,1,0,0.333333,0.666667,0.6,0.8,1,0.5,0,0,0,0,0,0,0,0,0.75,0.8,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0] f_measure 0.548068 [0,0,0,0,0,0,0,0.5,1,0.8,1,0,0.4,0.857143,0.8,0.666667,0.4,0.285714,0.6,0.8,0.666667,1,0,0,0,0,0,0,0,0,0.8,0.5,0.666667,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0] kappa 0.510515 kappa 0.461828 kappa 0.581736 kappa 0.641084 kappa 0.581107 kappa 0.499244 kappa 0.536854 kappa 0.500377 kappa 0.581893 kappa 0.542246 kb_relative_information_score 30.880864 kb_relative_information_score 27.369361 kb_relative_information_score 32.622955 kb_relative_information_score 35.377053 kb_relative_information_score 31.11008 kb_relative_information_score 31.111115 kb_relative_information_score 31.047959 kb_relative_information_score 28.56919 kb_relative_information_score 29.105135 kb_relative_information_score 27.867463 mean_absolute_error 0.025696 mean_absolute_error 0.026572 mean_absolute_error 0.024094 mean_absolute_error 0.022478 mean_absolute_error 0.023899 mean_absolute_error 0.024663 mean_absolute_error 0.02462 mean_absolute_error 0.026219 mean_absolute_error 0.024772 mean_absolute_error 0.026797 mean_prior_absolute_error 0.039681 mean_prior_absolute_error 0.039673 mean_prior_absolute_error 0.039638 mean_prior_absolute_error 0.039627 mean_prior_absolute_error 0.039672 mean_prior_absolute_error 0.039645 mean_prior_absolute_error 0.039604 mean_prior_absolute_error 0.039587 mean_prior_absolute_error 0.039629 mean_prior_absolute_error 0.039657 number_of_instances 54 [0,0,1,0,0,1,1,2,1,1,2,2,3,3,2,2,3,4,4,5,1,1,0,1,0,0,0,0,0,1,5,2,2,0,1,0,0,0,1,1,0,0,0,0,0,0,0,1] number_of_instances 53 [0,0,1,1,1,1,1,2,1,1,3,2,3,3,2,2,3,4,4,5,1,1,0,1,0,1,0,0,0,1,4,2,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0] number_of_instances 53 [0,0,1,0,1,0,1,2,1,1,3,2,3,3,2,2,3,3,4,6,1,1,0,1,0,0,0,1,0,1,4,2,2,1,0,0,0,0,0,0,1,0,0,0,0,0,0,0] number_of_instances 53 [0,0,1,0,0,0,1,3,1,1,3,2,3,3,2,2,3,3,4,6,1,1,1,1,0,0,0,1,0,1,4,2,1,1,0,0,0,0,0,0,1,0,0,0,0,0,0,0] number_of_instances 53 [0,1,1,0,0,0,1,3,2,1,3,2,2,3,2,1,3,3,4,6,1,1,1,0,0,0,0,1,0,1,4,2,1,1,0,0,0,0,0,0,1,0,0,0,1,0,0,0] number_of_instances 53 [0,0,1,0,0,0,1,3,2,1,3,1,2,3,2,2,3,3,4,6,1,1,1,0,0,0,0,0,1,1,4,2,2,1,0,1,0,0,0,0,0,0,0,0,1,0,0,0] number_of_instances 53 [0,0,1,0,0,0,1,3,2,1,3,1,2,3,2,2,3,3,4,6,0,1,1,0,0,0,0,0,1,0,5,2,2,1,0,1,0,0,0,0,0,1,0,0,1,0,0,0] number_of_instances 53 [1,0,0,0,0,0,1,2,1,1,2,1,3,4,2,2,3,4,5,5,1,1,0,0,1,0,0,0,1,0,5,2,2,0,0,0,0,0,0,0,0,1,1,0,0,0,1,0] number_of_instances 53 [1,0,0,0,0,0,1,2,1,2,2,1,3,3,1,2,3,4,5,5,1,1,0,0,1,0,0,0,0,1,5,2,2,0,0,0,1,0,0,1,0,0,0,1,0,1,0,0] number_of_instances 53 [1,0,0,0,0,1,1,2,1,2,2,1,3,3,2,2,3,4,4,5,1,1,0,0,1,0,1,0,0,1,5,2,2,0,0,0,0,1,0,1,0,0,0,0,0,0,0,0] precision 0.506019 [0,0,0,0,0,0,0.5,0.5,0,0.5,1,0,0.666667,0.5,0,1,1,0.4,0.4,1,0.5,0,0,0,0,0,0,0,0,0,0.625,0,1,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0] precision 0.461321 [0,0,0,0,0,0,0,0.5,0,1,1,0.5,0.666667,0.4,0,0.666667,0.5,0.666667,0.5,0.75,0,0,0,0,0,0,0,0,0,0,0.5,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0] precision 0.550629 [0,0,0,0,0,0,0.5,0.666667,1,1,0.75,0,0.333333,0.5,1,0.5,0.666667,0.6,0.5,0.8,0,0,0,1,0,0,0,0,0,0,1,0.5,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0] precision 0.639937 [0,0,0,0,0,0,1,1,1,0.5,1,0.666667,0.75,0.5,0.333333,0,1,0.5,0.333333,0.833333,1,0.333333,0,1,0,0,0,1,0,0,1,0.5,0.5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0] precision 0.609614 [0,0,0,0,0,0,1,1,1,1,1,0,0.333333,1,0,0,0.333333,0.5,1,0.857143,0.5,0,0,0,0,0,0,1,0,0,0.5,1,0.5,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0] precision 0.410692 [0,0,0,0,0,0,0,1,0.666667,0,1,1,0.666667,0.333333,0,0,0.5,0,0.375,0.8,0,0.5,0,0,0,0,0,0,0,0,0.5,0,0.4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0] precision 0.498203 [0,0,0,0,0,0,0,0.75,1,1,1,1,0.5,0.333333,1,0,0.5,0,0.333333,0.625,0,0,0,0,0,0,0,0,0,0,0.714286,0.5,0.5,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0] precision 0.518014 [0,0,0,0,0,0,0,1,0.5,1,1,0.333333,0,0.333333,0.333333,0.5,0.25,0.2,0.666667,0.833333,1,1,0,0,0,0,0,0,0,0,0.714286,1,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0] precision 0.583019 [0,0,0,0,0,0,0.5,1,1,0.5,0.666667,1,0.5,0.5,1,0,0.333333,0.6,0.6,0.8,1,0.333333,0,0,0,0,0,0,0,0,1,0.666667,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0] precision 0.561321 [0,0,0,0,0,0,0,0.5,1,0.666667,1,0,0.5,0.75,0.666667,1,0.5,0.333333,0.5,0.8,0.5,1,0,0,0,0,0,0,0,0,0.8,0.5,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0] predictive_accuracy 0.537037 predictive_accuracy 0.490566 predictive_accuracy 0.603774 predictive_accuracy 0.660377 predictive_accuracy 0.603774 predictive_accuracy 0.528302 predictive_accuracy 0.566038 predictive_accuracy 0.528302 predictive_accuracy 0.603774 predictive_accuracy 0.566038 prior_entropy 4.846691 prior_entropy 4.846691 prior_entropy 4.846691 prior_entropy 4.846691 prior_entropy 4.846691 prior_entropy 4.846691 prior_entropy 4.846691 prior_entropy 4.846691 prior_entropy 4.846691 prior_entropy 4.846691 recall 0.537037 [0,0,0,0,0,0,1,1,0,1,1,0,0.666667,0.666667,0,0.5,0.666667,0.5,0.5,0.8,1,0,0,0,0,0,0,0,0,0,1,0,0.5,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0] recall 0.490566 [0,0,0,0,0,0,0,1,0,1,1,0.5,0.666667,0.666667,0,1,0.333333,0.5,0.75,0.6,0,0,0,0,0,0,0,0,0,0,0.75,0,0.5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0] recall 0.603774 [0,0,0,0,0,0,1,1,1,1,1,0,0.333333,0.666667,1,0.5,0.666667,1,0.5,0.666667,0,0,0,1,0,0,0,0,0,0,1,0.5,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0] recall 0.660377 [0,0,0,0,0,0,1,1,1,1,0.666667,1,1,0.333333,0.5,0,0.666667,0.333333,0.5,0.833333,1,1,0,1,0,0,0,1,0,0,0.75,1,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0] recall 0.603774 [0,0,0,0,0,0,1,1,0.5,1,1,0,1,0.333333,0,0,0.333333,0.666667,0.5,1,1,0,0,0,0,0,0,1,0,0,1,0.5,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0] recall 0.528302 [0,0,0,0,0,0,0,1,1,0,1,1,1,0.666667,0,0,0.666667,0,0.75,0.666667,0,1,0,0,0,0,0,0,0,0,0.75,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0] recall 0.566038 [0,0,0,0,0,0,0,1,0.5,1,1,1,1,0.333333,0.5,0,0.666667,0,0.5,0.833333,0,0,0,0,0,0,0,0,0,0,1,0.5,0.5,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0] recall 0.528302 [0,0,0,0,0,0,0,0.5,1,1,1,1,0,0.25,0.5,0.5,0.333333,0.25,0.4,1,1,1,0,0,0,0,0,0,0,0,1,0.5,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0] recall 0.603774 [0,0,0,0,0,0,1,1,1,0.5,1,1,0.666667,0.333333,1,0,0.333333,0.75,0.6,0.8,1,1,0,0,0,0,0,0,0,0,0.6,1,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0] recall 0.566038 [0,0,0,0,0,0,0,0.5,1,1,1,0,0.333333,1,1,0.5,0.333333,0.25,0.75,0.8,1,1,0,0,0,0,0,0,0,0,0.8,0.5,0.5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0] relative_absolute_error 0.647553 relative_absolute_error 0.669771 relative_absolute_error 0.607844 relative_absolute_error 0.567229 relative_absolute_error 0.602405 relative_absolute_error 0.622106 relative_absolute_error 0.621647 relative_absolute_error 0.662322 relative_absolute_error 0.625092 relative_absolute_error 0.67571 root_mean_prior_squared_error 0.140756 root_mean_prior_squared_error 0.140729 root_mean_prior_squared_error 0.140604 root_mean_prior_squared_error 0.140565 root_mean_prior_squared_error 0.140725 root_mean_prior_squared_error 0.140628 root_mean_prior_squared_error 0.140483 root_mean_prior_squared_error 0.14042 root_mean_prior_squared_error 0.14057 root_mean_prior_squared_error 0.140671 root_mean_squared_error 0.109003 root_mean_squared_error 0.113277 root_mean_squared_error 0.105724 root_mean_squared_error 0.098393 root_mean_squared_error 0.106906 root_mean_squared_error 0.110783 root_mean_squared_error 0.107183 root_mean_squared_error 0.111829 root_mean_squared_error 0.107977 root_mean_squared_error 0.11412 root_relative_squared_error 0.774406 root_relative_squared_error 0.804925 root_relative_squared_error 0.751929 root_relative_squared_error 0.699984 root_relative_squared_error 0.759685 root_relative_squared_error 0.787775 root_relative_squared_error 0.762962 root_relative_squared_error 0.796388 root_relative_squared_error 0.768138 root_relative_squared_error 0.811252 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