341068 2 Joaquin Vanschoren 2065 Supervised Classification predictive_accuracy 1080 weka.NBTree(3) 1850 weka.classifiers.trees.NBTree study_1 weka weka_3.7.12 171 primary-tumor https://www.openml.org/data/download/3594/dataset_113_primary-tumor.arff -1 1171331 description https://api.openml.org/data/download/1171331/weka_generated_run1989273550487612614.xml -1 1171334 model_readable https://api.openml.org/data/download/1171334/WekaModel_weka.classifiers.trees.NBTree4195420165200944583.model -1 1171333 model_serialized https://api.openml.org/data/download/1171333/WekaSerialized_weka.classifiers.trees.NBTree6405777700372028904.model -1 1171332 predictions https://api.openml.org/data/download/1171332/weka_generated_predictions7383960903271775160.arff area_under_roc_curve 0.835964 [0.894958,0.99326,0.809428,0.81033,0.685812,0.048817,0.708462,0.588589,0.0,0.961424,0.828663,0.90209,0.640275,0.779828,0.597181,0.292899,0.893009,0.933037,0.664665,0.454006,0.89645,0.977116] average_cost 0 f_measure 0.466364 [0.697674,0.844444,0,0.307692,0.309859,0,0,0,0,0,0.323529,0.468085,0,0.363636,0,0,0.285714,0.657895,0,0,0,0.791667] kappa 0.440821 kb_relative_information_score 137.252892 mean_absolute_error 0.056476 mean_prior_absolute_error 0.081209 number_of_instances 339 [84,20,9,14,39,1,14,6,0,2,28,16,7,24,2,1,10,29,6,2,1,24] os_information [Oracle Corporation, 1.7.0_75, amd64, Linux, 3.16.0-29-generic] precision 0.445695 [0.681818,0.76,0,0.333333,0.34375,0,0,0,0,0,0.275,0.354839,0,0.322581,0,0,0.5,0.531915,0,0,0,0.791667] predictive_accuracy 0.507375 prior_entropy 3.754223 recall 0.507375 [0.714286,0.95,0,0.285714,0.282051,0,0,0,0,0,0.392857,0.6875,0,0.416667,0,0,0.2,0.862069,0,0,0,0.791667] relative_absolute_error 0.69544 root_mean_prior_squared_error 0.201084 root_mean_squared_error 0.174618 root_relative_squared_error 0.86838 scimark_benchmark 1306.559576 [760.3489655102251, 847.385693844159, 524.5441426563692, 1073.4807920495894, 3327.0382857295017] total_cost 0 usercpu_time_millis 770 usercpu_time_millis_testing 340 usercpu_time_millis_training 430 area_under_roc_curve 0.876956 [0.899038,1,0.969697,0.59375,0.841667,0.0,0.69697,0.0,0.0,1,0.833333,0.984375,0.909091,0.703125,0.0,0.0,0.651515,0.989247,0.0,0.0,0.0,1] area_under_roc_curve 0.883477 [0.961538,0.984375,0.666667,0.890625,0.625,0.0,1,0.0,0.0,0.969697,0.77957,0.984848,0.848485,0.9375,0.0,0.0,1,0.935484,0.0,0.606061,0.0,1] area_under_roc_curve 0.782104 [0.721154,0.984375,0.909091,0.875,0.625,0.0,0.833333,0.030303,0.0,0.0,0.859375,0.954545,0.363636,0.921875,0.0,0.727273,0.909091,0.892473,0.0,0.636364,0.0,1] area_under_roc_curve 0.810388 [0.836538,0.96875,1,0.921875,0.608333,0.393939,0.606061,0.333333,0.0,0.0,0.90625,0.909091,0.848485,0.515625,1,0.0,0.969697,0.913978,0.0,0.0,0.0,1] area_under_roc_curve 0.881846 [0.937778,1,0.878788,1,0.591667,0.0,0.757576,0.848485,0.0,0.0,0.860215,1,0.727273,0.96875,0.69697,0.0,1,0.967742,0.939394,0.0,0.0,0.953125] area_under_roc_curve 0.843432 [0.888889,1,0.878788,0.545455,0.758333,0.0,0.71875,1,0.0,0.0,0.935484,0.9375,0.0,0.796875,0.0,0.0,0.848485,0.795699,0.333333,0.0,0.0,0.96875] area_under_roc_curve 0.879244 [0.888889,1,0.848485,0.878788,0.763441,0.0,0.6875,1,0.0,0.0,0.752688,0.9375,0.0,0.903226,0.0,0.0,0.909091,0.978495,0.939394,0.0,0.0,0.9375] area_under_roc_curve 0.873535 [0.951111,1,0.0,1,0.883333,0.0,0.59375,0.757576,0.0,0.0,0.774194,0.578125,0.0,0.908602,0.0,0.0,0.984848,0.956989,0.757576,0.0,0.0,0.921875] area_under_roc_curve 0.823478 [0.889423,1,0.606061,1,0.520833,0.0,0.65625,0.0,0.0,0.0,0.817204,0.921875,0.636364,0.817204,0.0,0.0,0.939394,0.976562,0.69697,0.0,0.939394,0.984375] area_under_roc_curve 0.808835 [0.955,1,0.65625,0.90625,0.573276,0.0,0.78125,0.0,0.0,0.0,0.877778,0.967742,0.40625,0.444444,0.0,0.0,0.5625,0.994444,0.625,0.0,0.0,0.967742] 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 0.455182 [0.625,1,0,0,0.25,0,0,0,0,0,0.444444,0.5,0,0,0,0,0,0.857143,0,0,0,0.857143] f_measure 0.531916 [0.705882,0.8,0,0.666667,0.4,0,0,0,0,0,0.285714,0.333333,0,0.5,0,0,1,0.571429,0,0,0,1] f_measure 0.392857 [0.5,0.571429,0,0,0.5,0,0,0,0,0,0,0.5,0,0.5,0,0,0,0.571429,0,0,0,1] f_measure 0.450404 [0.705882,0.5,0,0.5,0.285714,0,0,0,0,0,0.571429,0.666667,0,0,0,0,0,0.571429,0,0,0,1] f_measure 0.450163 [0.75,1,0,0,0,0,0,0,0,0,0.25,0.666667,0,0.444444,0,0,1,0.75,0,0,0,0.5] f_measure 0.442033 [0.695652,1,0,0,0.444444,0,0,0,0,0,0.285714,0.4,0,0,0,0,0,0.666667,0,0,0,0.666667] f_measure 0.380628 [0.631579,0.8,0,0,0,0,0,0,0,0,0.285714,0.333333,0,0.333333,0,0,0,0.6,0,0,0,0.666667] f_measure 0.56201 [0.875,1,0,1,0.6,0,0,0,0,0,0,0.25,0,0.666667,0,0,0,0.666667,0,0,0,0.666667] f_measure 0.446078 [0.666667,1,0,0.666667,0.25,0,0,0,0,0,0.333333,0.666667,0,0.5,0,0,0,0.666667,0,0,0,0.5] f_measure 0.439057 [0.777778,1,0,0,0,0,0,0,0,0,0.444444,0.8,0,0,0,0,0,0.666667,0,0,0,0.666667] kappa 0.43222 kappa 0.504373 kappa 0.388836 kappa 0.434995 kappa 0.43829 kappa 0.407179 kappa 0.355289 kappa 0.531957 kappa 0.430542 kappa 0.478947 kb_relative_information_score 15.493177 kb_relative_information_score 15.005826 kb_relative_information_score 12.565956 kb_relative_information_score 14.291272 kb_relative_information_score 14.01864 kb_relative_information_score 13.598117 kb_relative_information_score 13.169095 kb_relative_information_score 13.533564 kb_relative_information_score 12.514147 kb_relative_information_score 13.063096 mean_absolute_error 0.055279 mean_absolute_error 0.054234 mean_absolute_error 0.061666 mean_absolute_error 0.056208 mean_absolute_error 0.055779 mean_absolute_error 0.056106 mean_absolute_error 0.058029 mean_absolute_error 0.056521 mean_absolute_error 0.057475 mean_absolute_error 0.053371 mean_prior_absolute_error 0.081317 mean_prior_absolute_error 0.081421 mean_prior_absolute_error 0.081592 mean_prior_absolute_error 0.081592 mean_prior_absolute_error 0.081006 mean_prior_absolute_error 0.080851 mean_prior_absolute_error 0.080962 mean_prior_absolute_error 0.08074 mean_prior_absolute_error 0.081495 mean_prior_absolute_error 0.081111 number_of_instances 34 [8,2,1,2,4,0,1,0,0,1,3,2,1,2,0,0,1,3,0,0,0,3] number_of_instances 34 [8,2,1,2,4,0,1,0,0,1,3,1,1,2,0,0,1,3,0,1,0,3] number_of_instances 34 [8,2,1,2,4,0,1,1,0,0,2,1,1,2,0,1,1,3,0,1,0,3] number_of_instances 34 [8,2,1,2,4,1,1,1,0,0,2,1,1,2,1,0,1,3,0,0,0,3] number_of_instances 34 [9,2,1,1,4,0,1,1,0,0,3,1,1,2,1,0,1,3,1,0,0,2] number_of_instances 34 [9,2,1,1,4,0,2,1,0,0,3,2,0,2,0,0,1,3,1,0,0,2] number_of_instances 34 [9,2,1,1,3,0,2,1,0,0,3,2,0,3,0,0,1,3,1,0,0,2] number_of_instances 34 [9,2,0,1,4,0,2,1,0,0,3,2,0,3,0,0,1,3,1,0,0,2] number_of_instances 34 [8,2,1,1,4,0,2,0,0,0,3,2,1,3,0,0,1,2,1,0,1,2] number_of_instances 33 [8,2,1,1,4,0,1,0,0,0,3,2,1,3,0,0,1,3,1,0,0,2] precision 0.426471 [0.625,1,0,0,0.25,0,0,0,0,0,0.333333,0.5,0,0,0,0,0,0.75,0,0,0,0.75] precision 0.591667 [0.666667,0.666667,0,1,1,0,0,0,0,0,0.25,0.2,0,0.5,0,0,1,0.5,0,0,0,1] precision 0.420588 [0.75,0.4,0,0,0.5,0,0,0,0,0,0,0.333333,0,0.333333,0,0,0,0.5,0,0,0,1] precision 0.42549 [0.666667,0.5,0,0.5,0.333333,0,0,0,0,0,0.4,0.5,0,0,0,0,0,0.5,0,0,0,1] precision 0.446639 [0.857143,1,0,0,0,0,0,0,0,0,0.2,0.5,0,0.285714,0,0,1,0.6,0,0,0,0.5] precision 0.416457 [0.571429,1,0,0,0.4,0,0,0,0,0,0.25,0.333333,0,0,0,0,0,0.666667,0,0,0,1] precision 0.360854 [0.6,0.666667,0,0,0,0,0,0,0,0,0.25,0.25,0,0.333333,0,0,0,0.428571,0,0,0,1] precision 0.583333 [1,1,0,1,0.5,0,0,0,0,0,0,0.166667,0,0.666667,0,0,0,0.5,0,0,0,1] precision 0.426471 [0.6,1,0,0.5,0.25,0,0,0,0,0,0.333333,1,0,0.4,0,0,0,0.5,0,0,0,0.5] precision 0.376768 [0.7,1,0,0,0,0,0,0,0,0,0.333333,0.666667,0,0,0,0,0,0.5,0,0,0,0.5] predictive_accuracy 0.5 predictive_accuracy 0.558824 predictive_accuracy 0.441176 predictive_accuracy 0.5 predictive_accuracy 0.5 predictive_accuracy 0.5 predictive_accuracy 0.441176 predictive_accuracy 0.588235 predictive_accuracy 0.5 predictive_accuracy 0.545455 prior_entropy 3.754223 prior_entropy 3.754223 prior_entropy 3.754223 prior_entropy 3.754223 prior_entropy 3.754223 prior_entropy 3.754223 prior_entropy 3.754223 prior_entropy 3.754223 prior_entropy 3.754223 prior_entropy 3.754223 recall 0.5 [0.625,1,0,0,0.25,0,0,0,0,0,0.666667,0.5,0,0,0,0,0,1,0,0,0,1] recall 0.558824 [0.75,1,0,0.5,0.25,0,0,0,0,0,0.333333,1,0,0.5,0,0,1,0.666667,0,0,0,1] recall 0.441176 [0.375,1,0,0,0.5,0,0,0,0,0,0,1,0,1,0,0,0,0.666667,0,0,0,1] recall 0.5 [0.75,0.5,0,0.5,0.25,0,0,0,0,0,1,1,0,0,0,0,0,0.666667,0,0,0,1] recall 0.5 [0.666667,1,0,0,0,0,0,0,0,0,0.333333,1,0,1,0,0,1,1,0,0,0,0.5] recall 0.5 [0.888889,1,0,0,0.5,0,0,0,0,0,0.333333,0.5,0,0,0,0,0,0.666667,0,0,0,0.5] recall 0.441176 [0.666667,1,0,0,0,0,0,0,0,0,0.333333,0.5,0,0.333333,0,0,0,1,0,0,0,0.5] recall 0.588235 [0.777778,1,0,1,0.75,0,0,0,0,0,0,0.5,0,0.666667,0,0,0,1,0,0,0,0.5] recall 0.5 [0.75,1,0,1,0.25,0,0,0,0,0,0.333333,0.5,0,0.666667,0,0,0,1,0,0,0,0.5] recall 0.545455 [0.875,1,0,0,0,0,0,0,0,0,0.666667,1,0,0,0,0,0,1,0,0,0,1] relative_absolute_error 0.679796 relative_absolute_error 0.666088 relative_absolute_error 0.755792 relative_absolute_error 0.688891 relative_absolute_error 0.688575 relative_absolute_error 0.693946 relative_absolute_error 0.716746 relative_absolute_error 0.700041 relative_absolute_error 0.705257 relative_absolute_error 0.657999 root_mean_prior_squared_error 0.201354 root_mean_prior_squared_error 0.201611 root_mean_prior_squared_error 0.202033 root_mean_prior_squared_error 0.202033 root_mean_prior_squared_error 0.20058 root_mean_prior_squared_error 0.200192 root_mean_prior_squared_error 0.200469 root_mean_prior_squared_error 0.199914 root_mean_prior_squared_error 0.201795 root_mean_prior_squared_error 0.20084 root_mean_squared_error 0.168843 root_mean_squared_error 0.168158 root_mean_squared_error 0.184351 root_mean_squared_error 0.176626 root_mean_squared_error 0.171654 root_mean_squared_error 0.174008 root_mean_squared_error 0.177989 root_mean_squared_error 0.172281 root_mean_squared_error 0.178323 root_mean_squared_error 0.173287 root_relative_squared_error 0.838539 root_relative_squared_error 0.834071 root_relative_squared_error 0.912477 root_relative_squared_error 0.874244 root_relative_squared_error 0.855788 root_relative_squared_error 0.869209 root_relative_squared_error 0.887861 root_relative_squared_error 0.861777 root_relative_squared_error 0.883684 root_relative_squared_error 0.862811 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 450 usercpu_time_millis 430 usercpu_time_millis 420 usercpu_time_millis 440 usercpu_time_millis 440 usercpu_time_millis 420 usercpu_time_millis 420 usercpu_time_millis 430 usercpu_time_millis 420 usercpu_time_millis 430 usercpu_time_millis_testing 30 usercpu_time_millis_testing 30 usercpu_time_millis_testing 30 usercpu_time_millis_testing 40 usercpu_time_millis_testing 30 usercpu_time_millis_testing 30 usercpu_time_millis_testing 30 usercpu_time_millis_testing 30 usercpu_time_millis_testing 30 usercpu_time_millis_testing 40 usercpu_time_millis_training 420 usercpu_time_millis_training 400 usercpu_time_millis_training 390 usercpu_time_millis_training 400 usercpu_time_millis_training 410 usercpu_time_millis_training 390 usercpu_time_millis_training 390 usercpu_time_millis_training 400 usercpu_time_millis_training 390 usercpu_time_millis_training 390