191416 2 Joaquin Vanschoren 2065 Supervised Classification predictive_accuracy 1112 weka.LibLINEAR(1) 2017 weka.classifiers.functions.LibLINEAR -- -S 1 -C 1.0 -E 0.001 -B 1.0 S 1 1112 C 1.0 1112 E 0.001 1112 B 1.0 1112 study_1 weka weka_3.7.12 171 primary-tumor https://www.openml.org/data/download/3594/dataset_113_primary-tumor.arff -1 632812 description https://api.openml.org/data/download/632812/weka_generated_run6603334187432607935.xml -1 632815 model_readable https://api.openml.org/data/download/632815/WekaModel_weka.classifiers.functions.LibLINEAR6908459181261700157.model -1 632814 model_serialized https://api.openml.org/data/download/632814/WekaSerialized_weka.classifiers.functions.LibLINEAR6782618790624686500.model -1 632813 predictions https://api.openml.org/data/download/632813/weka_generated_predictions6109751456257366646.arff area_under_roc_curve 0.70287 [0.792717,0.990596,0.498485,0.669341,0.575897,0.498521,0.495385,0.495495,0.0,0.497033,0.597669,0.693982,0.5,0.60119,0.497033,0.5,0.692401,0.840601,0.496997,0.495549,0.5,0.87996] average_cost 0 f_measure 0.4328 [0.663212,0.869565,0,0.4,0.253968,0,0,0,0,0,0.269231,0.358974,0,0.266667,0,0,0.421053,0.586667,0,0,0,0.716981] kappa 0.402331 kb_relative_information_score 131.464025 mean_absolute_error 0.047466 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 [Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64] precision 0.407082 [0.587156,0.769231,0,0.454545,0.333333,0,0,0,0,0,0.291667,0.304348,0,0.285714,0,0,0.444444,0.478261,0,0,0,0.655172] predictive_accuracy 0.477876 prior_entropy 3.754223 recall 0.477876 [0.761905,1,0,0.357143,0.205128,0,0,0,0,0,0.25,0.4375,0,0.25,0,0,0.4,0.758621,0,0,0,0.791667] relative_absolute_error 0.58449 root_mean_prior_squared_error 0.201084 root_mean_squared_error 0.217866 root_relative_squared_error 1.083459 scimark_benchmark 916.93558 [487.21806624910295, 1011.7904963405887, 488.5085213342302, 898.9849449421491, 1698.1758713219672] total_cost 0 usercpu_time_millis 110 usercpu_time_millis_testing 10 usercpu_time_millis_training 100 area_under_roc_curve 0.696057 [0.716346,1,0.5,0.484375,0.591667,0.0,0.469697,0.0,0.0,0.5,0.784946,0.5,0.5,0.484375,0.0,0.0,0.5,0.983871,0.0,0.0,0.0,0.951613] area_under_roc_curve 0.714398 [0.822115,1,0.484848,0.75,0.625,0.0,0.5,0.0,0.0,0.5,0.451613,0.969697,0.5,0.5,0.0,0.0,1,0.634409,0.0,0.5,0.0,1] area_under_roc_curve 0.670112 [0.653846,0.953125,0.5,0.484375,0.716667,0.0,0.484848,0.5,0.0,0.0,0.5,0.969697,0.5,0.484375,0.0,0.5,0.984848,0.650538,0.0,0.5,0.0,0.983871] area_under_roc_curve 0.705213 [0.860577,0.96875,0.5,0.734375,0.5,0.5,0.5,0.484848,0.0,0.0,0.71875,0.469697,0.5,0.453125,0.5,0.0,0.484848,0.801075,0.0,0.0,0.0,1] area_under_roc_curve 0.724525 [0.793333,0.984375,0.5,0.984848,0.5,0.0,0.5,0.5,0.0,0.0,0.467742,0.984848,0.5,0.9375,0.484848,0.0,1,0.951613,0.5,0.0,0.0,0.71875] area_under_roc_curve 0.68595 [0.86,1,0.5,0.469697,0.716667,0.0,0.5,0.5,0.0,0.0,0.467742,0.453125,0.0,0.5,0.0,0.0,0.484848,0.817204,0.5,0.0,0.0,0.75] area_under_roc_curve 0.69465 [0.733333,1,0.5,0.5,0.467742,0.0,0.5,0.484848,0.0,0.0,0.650538,0.734375,0.0,0.650538,0.0,0.0,1,0.919355,0.5,0.0,0.0,0.75] area_under_roc_curve 0.706227 [0.848889,1,0.0,1,0.591667,0.0,0.5,0.5,0.0,0.0,0.483871,0.6875,0.0,0.61828,0.0,0.0,0.5,0.784946,0.5,0.0,0.0,0.734375] area_under_roc_curve 0.716139 [0.798077,1,0.5,1,0.558333,0.0,0.5,0.0,0.0,0.0,0.650538,0.75,0.5,0.801075,0.0,0.0,0.469697,0.96875,0.5,0.0,0.5,0.734375] area_under_roc_curve 0.71713 [0.8375,1,0.5,0.5,0.465517,0.0,0.5,0.0,0.0,0.0,0.8,0.733871,0.5,0.5,0.0,0.0,0.5,0.933333,0.5,0.0,0.0,0.967742] 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 0.401727 [0.555556,1,0,0,0.285714,0,0,0,0,0,0.5,0,0,0,0,0,0,0.857143,0,0,0,0.666667] f_measure 0.463725 [0.666667,1,0,0.666667,0.4,0,0,0,0,0,0,0.5,0,0,0,0,1,0.333333,0,0,0,1] f_measure 0.348402 [0.470588,0.571429,0,0,0.5,0,0,0,0,0,0,0.5,0,0,0,0,0.666667,0.4,0,0,0,0.857143] f_measure 0.404187 [0.736842,0.666667,0,0.5,0,0,0,0,0,0,0.4,0,0,0,0,0,0,0.571429,0,0,0,1] f_measure 0.414302 [0.705882,0.8,0,0.666667,0,0,0,0,0,0,0,0.666667,0,0.5,0,0,1,0.666667,0,0,0,0.4] f_measure 0.406275 [0.72,1,0,0,0.5,0,0,0,0,0,0,0,0,0,0,0,0,0.666667,0,0,0,0.666667] f_measure 0.434403 [0.6,1,0,0,0,0,0,0,0,0,0.4,0.5,0,0.4,0,0,1,0.545455,0,0,0,0.666667] f_measure 0.443277 [0.777778,1,0,1,0.285714,0,0,0,0,0,0,0.285714,0,0.285714,0,0,0,0.5,0,0,0,0.5] f_measure 0.464799 [0.666667,1,0,1,0.222222,0,0,0,0,0,0.4,0.666667,0,0.571429,0,0,0,0.666667,0,0,0,0.5] f_measure 0.407504 [0.7,1,0,0,0,0,0,0,0,0,0.571429,0.5,0,0,0,0,0,0.6,0,0,0,0.666667] kappa 0.393459 kappa 0.427723 kappa 0.339806 kappa 0.399411 kappa 0.438835 kappa 0.36646 kappa 0.389831 kappa 0.39645 kappa 0.431662 kappa 0.435897 kb_relative_information_score 13.041687 kb_relative_information_score 14.178737 kb_relative_information_score 11.879557 kb_relative_information_score 12.758206 kb_relative_information_score 14.536758 kb_relative_information_score 11.39022 kb_relative_information_score 13.240192 kb_relative_information_score 12.65007 kb_relative_information_score 14.168442 kb_relative_information_score 13.620156 mean_absolute_error 0.048128 mean_absolute_error 0.045455 mean_absolute_error 0.053476 mean_absolute_error 0.048128 mean_absolute_error 0.045455 mean_absolute_error 0.048128 mean_absolute_error 0.048128 mean_absolute_error 0.048128 mean_absolute_error 0.045455 mean_absolute_error 0.044077 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 0.361275 [0.5,1,0,0,0.333333,0,0,0,0,0,0.4,0,0,0,0,0,0,0.75,0,0,0,0.5] precision 0.518854 [0.538462,1,0,1,1,0,0,0,0,0,0,0.333333,0,0,0,0,1,0.333333,0,0,0,1] precision 0.321732 [0.444444,0.4,0,0,0.5,0,0,0,0,0,0,0.333333,0,0,0,0,0.5,0.5,0,0,0,0.75] precision 0.360517 [0.636364,0.5,0,0.5,0,0,0,0,0,0,0.333333,0,0,0,0,0,0,0.5,0,0,0,1] precision 0.379902 [0.75,0.666667,0,0.5,0,0,0,0,0,0,0,0.5,0,0.333333,0,0,1,0.5,0,0,0,0.333333] precision 0.384191 [0.5625,1,0,0,0.5,0,0,0,0,0,0,0,0,0,0,0,0,0.666667,0,0,0,1] precision 0.442179 [0.545455,1,0,0,0,0,0,0,0,0,0.5,0.5,0,0.5,0,0,1,0.375,0,0,0,1] precision 0.431863 [0.777778,1,0,1,0.333333,0,0,0,0,0,0,0.2,0,0.25,0,0,0,0.4,0,0,0,0.5] precision 0.458824 [0.6,1,0,1,0.2,0,0,0,0,0,0.5,1,0,0.5,0,0,0,0.5,0,0,0,0.5] precision 0.347042 [0.583333,1,0,0,0,0,0,0,0,0,0.5,0.5,0,0,0,0,0,0.428571,0,0,0,0.5] predictive_accuracy 0.470588 predictive_accuracy 0.5 predictive_accuracy 0.411765 predictive_accuracy 0.470588 predictive_accuracy 0.5 predictive_accuracy 0.470588 predictive_accuracy 0.470588 predictive_accuracy 0.470588 predictive_accuracy 0.5 predictive_accuracy 0.515152 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 0.470588 [0.625,1,0,0,0.25,0,0,0,0,0,0.666667,0,0,0,0,0,0,1,0,0,0,1] recall 0.5 [0.875,1,0,0.5,0.25,0,0,0,0,0,0,1,0,0,0,0,1,0.333333,0,0,0,1] recall 0.411765 [0.5,1,0,0,0.5,0,0,0,0,0,0,1,0,0,0,0,1,0.333333,0,0,0,1] recall 0.470588 [0.875,1,0,0.5,0,0,0,0,0,0,0.5,0,0,0,0,0,0,0.666667,0,0,0,1] recall 0.5 [0.666667,1,0,1,0,0,0,0,0,0,0,1,0,1,0,0,1,1,0,0,0,0.5] recall 0.470588 [1,1,0,0,0.5,0,0,0,0,0,0,0,0,0,0,0,0,0.666667,0,0,0,0.5] recall 0.470588 [0.666667,1,0,0,0,0,0,0,0,0,0.333333,0.5,0,0.333333,0,0,1,1,0,0,0,0.5] recall 0.470588 [0.777778,1,0,1,0.25,0,0,0,0,0,0,0.5,0,0.333333,0,0,0,0.666667,0,0,0,0.5] 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 0.515152 [0.875,1,0,0,0,0,0,0,0,0,0.666667,0.5,0,0,0,0,0,1,0,0,0,1] relative_absolute_error 0.591857 relative_absolute_error 0.558264 relative_absolute_error 0.65541 relative_absolute_error 0.589869 relative_absolute_error 0.561123 relative_absolute_error 0.595273 relative_absolute_error 0.594456 relative_absolute_error 0.596092 relative_absolute_error 0.557757 relative_absolute_error 0.543419 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 0.219382 root_mean_squared_error 0.213201 root_mean_squared_error 0.231249 root_mean_squared_error 0.219382 root_mean_squared_error 0.213201 root_mean_squared_error 0.219382 root_mean_squared_error 0.219382 root_mean_squared_error 0.219382 root_mean_squared_error 0.213201 root_mean_squared_error 0.209946 root_relative_squared_error 1.089534 root_relative_squared_error 1.057485 root_relative_squared_error 1.144607 root_relative_squared_error 1.08587 root_relative_squared_error 1.062922 root_relative_squared_error 1.095858 root_relative_squared_error 1.094342 root_relative_squared_error 1.09738 root_relative_squared_error 1.056523 root_relative_squared_error 1.045338 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 90 usercpu_time_millis 90 usercpu_time_millis 90 usercpu_time_millis 90 usercpu_time_millis 90 usercpu_time_millis 90 usercpu_time_millis 100 usercpu_time_millis 90 usercpu_time_millis 90 usercpu_time_millis 100 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_training 90 usercpu_time_millis_training 90 usercpu_time_millis_training 90 usercpu_time_millis_training 90 usercpu_time_millis_training 90 usercpu_time_millis_training 90 usercpu_time_millis_training 100 usercpu_time_millis_training 90 usercpu_time_millis_training 90 usercpu_time_millis_training 100