Task
Supervised Classification on mu284

Supervised Classification on mu284

Task 3744 Supervised Classification mu284 592 runs submitted
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  • mythbusting_1 study_1 study_107 study_123 study_15 study_20 study_41 study_7 under100k under1m
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9965, f_measure: 0.9965, kappa: 0.993, kb_relative_information_score: 282, mean_absolute_error: 0.0035, mean_prior_absolute_error: 0.5, number_of_instances: 284, precision: 0.9965, predictive_accuracy: 0.9965, prior_entropy: 1, recall: 0.9965, relative_absolute_error: 0.007, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.0593, root_relative_squared_error: 0.1187,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9965, f_measure: 0.9965, kappa: 0.993, kb_relative_information_score: 282, mean_absolute_error: 0.0035, mean_prior_absolute_error: 0.5, number_of_instances: 284, precision: 0.9965, predictive_accuracy: 0.9965, prior_entropy: 1, recall: 0.9965, relative_absolute_error: 0.007, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.0593, root_relative_squared_error: 0.1187,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9995, f_measure: 0.9824, kappa: 0.9648, kb_relative_information_score: 261.4183, mean_absolute_error: 0.0455, mean_prior_absolute_error: 0.5, number_of_instances: 284, precision: 0.9824, predictive_accuracy: 0.9824, prior_entropy: 1, recall: 0.9824, relative_absolute_error: 0.0911, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.1174, root_relative_squared_error: 0.2348,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9894, f_measure: 0.9894, kappa: 0.9789, kb_relative_information_score: 278, mean_absolute_error: 0.0106, mean_prior_absolute_error: 0.5, number_of_instances: 284, precision: 0.9895, predictive_accuracy: 0.9894, prior_entropy: 1, recall: 0.9894, relative_absolute_error: 0.0211, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.1028, root_relative_squared_error: 0.2056,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9894, kappa: 0.9789, kb_relative_information_score: 230.0483, mean_absolute_error: 0.1101, mean_prior_absolute_error: 0.5, number_of_instances: 284, precision: 0.9895, predictive_accuracy: 0.9894, prior_entropy: 1, recall: 0.9894, relative_absolute_error: 0.2201, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.1787, root_relative_squared_error: 0.3575,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9833, f_measure: 0.9471, kappa: 0.8944, kb_relative_information_score: 245.2039, mean_absolute_error: 0.0721, mean_prior_absolute_error: 0.5, number_of_instances: 284, precision: 0.949, predictive_accuracy: 0.9472, prior_entropy: 1, recall: 0.9472, relative_absolute_error: 0.1443, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2009, root_relative_squared_error: 0.4018,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9965, f_measure: 0.9965, kappa: 0.993, kb_relative_information_score: 282, mean_absolute_error: 0.0035, mean_prior_absolute_error: 0.5, number_of_instances: 284, precision: 0.9965, predictive_accuracy: 0.9965, prior_entropy: 1, recall: 0.9965, relative_absolute_error: 0.007, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.0593, root_relative_squared_error: 0.1187,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9741, f_measure: 0.9577, kappa: 0.9155, kb_relative_information_score: 251.0054, mean_absolute_error: 0.0635, mean_prior_absolute_error: 0.5, number_of_instances: 284, precision: 0.961, predictive_accuracy: 0.9577, prior_entropy: 1, recall: 0.9577, relative_absolute_error: 0.1271, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.1891, root_relative_squared_error: 0.3782,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9363, f_measure: 0.9541, kappa: 0.9085, kb_relative_information_score: 243.465, mean_absolute_error: 0.0799, mean_prior_absolute_error: 0.5, number_of_instances: 284, precision: 0.9581, predictive_accuracy: 0.9542, prior_entropy: 1, recall: 0.9542, relative_absolute_error: 0.1598, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2058, root_relative_squared_error: 0.4115,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9965, kappa: 0.993, kb_relative_information_score: 280.4242, mean_absolute_error: 0.007, mean_prior_absolute_error: 0.5, number_of_instances: 284, precision: 0.9965, predictive_accuracy: 0.9965, prior_entropy: 1, recall: 0.9965, relative_absolute_error: 0.014, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.0547, root_relative_squared_error: 0.1094,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9847, f_measure: 0.9472, kappa: 0.8944, kb_relative_information_score: 252.3151, mean_absolute_error: 0.0564, mean_prior_absolute_error: 0.5, number_of_instances: 284, precision: 0.9474, predictive_accuracy: 0.9472, prior_entropy: 1, recall: 0.9472, relative_absolute_error: 0.1129, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2032, root_relative_squared_error: 0.4064,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9965, f_measure: 0.9965, kappa: 0.993, kb_relative_information_score: 282, mean_absolute_error: 0.0035, mean_prior_absolute_error: 0.5, number_of_instances: 284, precision: 0.9965, predictive_accuracy: 0.9965, prior_entropy: 1, recall: 0.9965, relative_absolute_error: 0.007, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.0593, root_relative_squared_error: 0.1187,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9954, f_measure: 0.9577, kappa: 0.9155, kb_relative_information_score: 255.5982, mean_absolute_error: 0.0527, mean_prior_absolute_error: 0.5, number_of_instances: 284, precision: 0.9577, predictive_accuracy: 0.9577, prior_entropy: 1, recall: 0.9577, relative_absolute_error: 0.1053, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.17, root_relative_squared_error: 0.34,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9839, f_measure: 0.9542, kappa: 0.9085, kb_relative_information_score: 249.823, mean_absolute_error: 0.0638, mean_prior_absolute_error: 0.5, number_of_instances: 284, precision: 0.9542, predictive_accuracy: 0.9542, prior_entropy: 1, recall: 0.9542, relative_absolute_error: 0.1276, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.1954, root_relative_squared_error: 0.3909,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9836, f_measure: 0.9542, kappa: 0.9085, kb_relative_information_score: 247.9537, mean_absolute_error: 0.0665, mean_prior_absolute_error: 0.5, number_of_instances: 284, precision: 0.9542, predictive_accuracy: 0.9542, prior_entropy: 1, recall: 0.9542, relative_absolute_error: 0.133, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2072, root_relative_squared_error: 0.4145,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9956, f_measure: 0.9365, kappa: 0.8732, kb_relative_information_score: 246.6134, mean_absolute_error: 0.0684, mean_prior_absolute_error: 0.5, number_of_instances: 284, precision: 0.9409, predictive_accuracy: 0.9366, prior_entropy: 1, recall: 0.9366, relative_absolute_error: 0.1368, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.1934, root_relative_squared_error: 0.3868,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9943, f_measure: 0.9577, kappa: 0.9155, kb_relative_information_score: 246.0419, mean_absolute_error: 0.0714, mean_prior_absolute_error: 0.5, number_of_instances: 284, precision: 0.9578, predictive_accuracy: 0.9577, prior_entropy: 1, recall: 0.9577, relative_absolute_error: 0.1428, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.1781, root_relative_squared_error: 0.3563,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9962, f_measure: 0.9718, kappa: 0.9437, kb_relative_information_score: 256.3808, mean_absolute_error: 0.0537, mean_prior_absolute_error: 0.5, number_of_instances: 284, precision: 0.9727, predictive_accuracy: 0.9718, prior_entropy: 1, recall: 0.9718, relative_absolute_error: 0.1073, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.1521, root_relative_squared_error: 0.3043,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.995, f_measure: 0.9753, kappa: 0.9507, kb_relative_information_score: 265.2745, mean_absolute_error: 0.0345, mean_prior_absolute_error: 0.5, number_of_instances: 284, precision: 0.9759, predictive_accuracy: 0.9754, prior_entropy: 1, recall: 0.9754, relative_absolute_error: 0.069, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.1419, root_relative_squared_error: 0.2838,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9965, f_measure: 0.9965, kappa: 0.993, kb_relative_information_score: 280.959, mean_absolute_error: 0.0056, mean_prior_absolute_error: 0.5, number_of_instances: 284, precision: 0.9965, predictive_accuracy: 0.9965, prior_entropy: 1, recall: 0.9965, relative_absolute_error: 0.0113, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.0645, root_relative_squared_error: 0.1289,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9994, f_measure: 0.9894, kappa: 0.9789, kb_relative_information_score: 229.555, mean_absolute_error: 0.1178, mean_prior_absolute_error: 0.5, number_of_instances: 284, precision: 0.9895, predictive_accuracy: 0.9894, prior_entropy: 1, recall: 0.9894, relative_absolute_error: 0.2356, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.155, root_relative_squared_error: 0.31,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4888, f_measure: 0.4443, kappa: -0.0141, kb_relative_information_score: -0.0224, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 284, precision: 0.4892, predictive_accuracy: 0.493, prior_entropy: 1, recall: 0.493, relative_absolute_error: 1.0001, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9989, f_measure: 0.9859, kappa: 0.9718, kb_relative_information_score: 269.8497, mean_absolute_error: 0.0268, mean_prior_absolute_error: 0.5, number_of_instances: 284, precision: 0.986, predictive_accuracy: 0.9859, prior_entropy: 1, recall: 0.9859, relative_absolute_error: 0.0536, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.1094, root_relative_squared_error: 0.2189,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9949, f_measure: 0.9965, kappa: 0.993, kb_relative_information_score: 278.051, mean_absolute_error: 0.012, mean_prior_absolute_error: 0.5, number_of_instances: 284, precision: 0.9965, predictive_accuracy: 0.9965, prior_entropy: 1, recall: 0.9965, relative_absolute_error: 0.0241, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.0732, root_relative_squared_error: 0.1463,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9932, f_measure: 0.9613, kappa: 0.9225, kb_relative_information_score: 247.2591, mean_absolute_error: 0.0676, mean_prior_absolute_error: 0.5, number_of_instances: 284, precision: 0.9615, predictive_accuracy: 0.9613, prior_entropy: 1, recall: 0.9613, relative_absolute_error: 0.1352, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.1858, root_relative_squared_error: 0.3715,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9824, f_measure: 0.9824, kappa: 0.9648, kb_relative_information_score: 274, mean_absolute_error: 0.0176, mean_prior_absolute_error: 0.5, number_of_instances: 284, precision: 0.9826, predictive_accuracy: 0.9824, prior_entropy: 1, recall: 0.9824, relative_absolute_error: 0.0352, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.1327, root_relative_squared_error: 0.2654,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9965, f_measure: 0.9965, kappa: 0.993, kb_relative_information_score: 282, mean_absolute_error: 0.0035, mean_prior_absolute_error: 0.5, number_of_instances: 284, precision: 0.9965, predictive_accuracy: 0.9965, prior_entropy: 1, recall: 0.9965, relative_absolute_error: 0.007, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.0593, root_relative_squared_error: 0.1187,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9556, f_measure: 0.7946, kappa: 0.5986, kb_relative_information_score: 167.5988, mean_absolute_error: 0.2057, mean_prior_absolute_error: 0.5, number_of_instances: 284, precision: 0.8295, predictive_accuracy: 0.7993, prior_entropy: 1, recall: 0.7993, relative_absolute_error: 0.4114, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4178, root_relative_squared_error: 0.8356,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.999, f_measure: 0.9824, kappa: 0.9648, kb_relative_information_score: 271.2871, mean_absolute_error: 0.0237, mean_prior_absolute_error: 0.5, number_of_instances: 284, precision: 0.9826, predictive_accuracy: 0.9824, prior_entropy: 1, recall: 0.9824, relative_absolute_error: 0.0475, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.1055, root_relative_squared_error: 0.2111,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9766, f_measure: 0.9155, kappa: 0.831, kb_relative_information_score: 228.3712, mean_absolute_error: 0.1019, mean_prior_absolute_error: 0.5, number_of_instances: 284, precision: 0.9156, predictive_accuracy: 0.9155, prior_entropy: 1, recall: 0.9155, relative_absolute_error: 0.2038, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2469, root_relative_squared_error: 0.4939,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9555, f_measure: 0.7984, kappa: 0.6056, kb_relative_information_score: 168.1004, mean_absolute_error: 0.2048, mean_prior_absolute_error: 0.5, number_of_instances: 284, precision: 0.8318, predictive_accuracy: 0.8028, prior_entropy: 1, recall: 0.8028, relative_absolute_error: 0.4095, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4163, root_relative_squared_error: 0.8326,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9587, f_measure: 0.7984, kappa: 0.6056, kb_relative_information_score: 179.1749, mean_absolute_error: 0.1847, mean_prior_absolute_error: 0.5, number_of_instances: 284, precision: 0.8318, predictive_accuracy: 0.8028, prior_entropy: 1, recall: 0.8028, relative_absolute_error: 0.3695, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3606, root_relative_squared_error: 0.7213,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9859, f_measure: 0.9859, kappa: 0.9718, kb_relative_information_score: 276, mean_absolute_error: 0.0141, mean_prior_absolute_error: 0.5, number_of_instances: 284, precision: 0.9863, predictive_accuracy: 0.9859, prior_entropy: 1, recall: 0.9859, relative_absolute_error: 0.0282, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.1187, root_relative_squared_error: 0.2374,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.993, f_measure: 0.993, kappa: 0.9859, kb_relative_information_score: 280, mean_absolute_error: 0.007, mean_prior_absolute_error: 0.5, number_of_instances: 284, precision: 0.9931, predictive_accuracy: 0.993, prior_entropy: 1, recall: 0.993, relative_absolute_error: 0.0141, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.0839, root_relative_squared_error: 0.1678,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9965, kappa: 0.993, kb_relative_information_score: 273.2747, mean_absolute_error: 0.0241, mean_prior_absolute_error: 0.5, number_of_instances: 284, precision: 0.9965, predictive_accuracy: 0.9965, prior_entropy: 1, recall: 0.9965, relative_absolute_error: 0.0482, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.057, root_relative_squared_error: 0.1141,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9965, f_measure: 0.9965, kappa: 0.993, kb_relative_information_score: 282, mean_absolute_error: 0.0035, mean_prior_absolute_error: 0.5, number_of_instances: 284, precision: 0.9965, predictive_accuracy: 0.9965, prior_entropy: 1, recall: 0.9965, relative_absolute_error: 0.007, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.0593, root_relative_squared_error: 0.1187,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9965, f_measure: 0.9965, kappa: 0.993, kb_relative_information_score: 282, mean_absolute_error: 0.0035, mean_prior_absolute_error: 0.5, number_of_instances: 284, precision: 0.9965, predictive_accuracy: 0.9965, prior_entropy: 1, recall: 0.9965, relative_absolute_error: 0.007, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.0593, root_relative_squared_error: 0.1187,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9555, f_measure: 0.7984, kappa: 0.6056, kb_relative_information_score: 168.1004, mean_absolute_error: 0.2048, mean_prior_absolute_error: 0.5, number_of_instances: 284, precision: 0.8318, predictive_accuracy: 0.8028, prior_entropy: 1, recall: 0.8028, relative_absolute_error: 0.4095, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4163, root_relative_squared_error: 0.8326,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3333, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 284, precision: 0.25, predictive_accuracy: 0.5, prior_entropy: 1, recall: 0.5, relative_absolute_error: 1, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.993, kappa: 0.9859, kb_relative_information_score: 267.7076, mean_absolute_error: 0.0345, mean_prior_absolute_error: 0.5, number_of_instances: 284, precision: 0.993, predictive_accuracy: 0.993, prior_entropy: 1, recall: 0.993, relative_absolute_error: 0.069, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.0896, root_relative_squared_error: 0.1792,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9965, f_measure: 0.9965, kappa: 0.993, kb_relative_information_score: 282, mean_absolute_error: 0.0035, mean_prior_absolute_error: 0.5, number_of_instances: 284, precision: 0.9965, predictive_accuracy: 0.9965, prior_entropy: 1, recall: 0.9965, relative_absolute_error: 0.007, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.0593, root_relative_squared_error: 0.1187,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8275, f_measure: 0.8263, kappa: 0.6549, kb_relative_information_score: 186, mean_absolute_error: 0.1725, mean_prior_absolute_error: 0.5, number_of_instances: 284, precision: 0.8363, predictive_accuracy: 0.8275, prior_entropy: 1, recall: 0.8275, relative_absolute_error: 0.3451, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4154, root_relative_squared_error: 0.8307, scimark_benchmark: 1461.2356, usercpu_time_millis: 3859.375, usercpu_time_millis_training: 3859.375,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9859, f_measure: 0.9859, kappa: 0.9718, kb_relative_information_score: 276, mean_absolute_error: 0.0141, mean_prior_absolute_error: 0.5, number_of_instances: 284, precision: 0.9859, predictive_accuracy: 0.9859, prior_entropy: 1, recall: 0.9859, relative_absolute_error: 0.0282, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.1187, root_relative_squared_error: 0.2374, scimark_benchmark: 1461.2356, usercpu_time_millis: 187.5, usercpu_time_millis_testing: 15.625, usercpu_time_millis_training: 171.875,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.493, f_measure: 0.4724, kappa: -0.0141, kb_relative_information_score: -4, mean_absolute_error: 0.507, mean_prior_absolute_error: 0.5, number_of_instances: 284, precision: 0.4917, predictive_accuracy: 0.493, prior_entropy: 1, recall: 0.493, relative_absolute_error: 1.0141, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.7121, root_relative_squared_error: 1.4241, scimark_benchmark: 1959.6455, usercpu_time_millis: 46.875, usercpu_time_millis_testing: 15.625, usercpu_time_millis_training: 31.25,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.493, f_measure: 0.4443, kappa: -0.0141, kb_relative_information_score: -4, mean_absolute_error: 0.507, mean_prior_absolute_error: 0.5, number_of_instances: 284, precision: 0.4892, predictive_accuracy: 0.493, prior_entropy: 1, recall: 0.493, relative_absolute_error: 1.0141, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.7121, root_relative_squared_error: 1.4241, scimark_benchmark: 1959.6455, usercpu_time_millis: 15.625, usercpu_time_millis_testing: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9995, f_measure: 0.9894, kappa: 0.9789, kb_relative_information_score: 276.5387, mean_absolute_error: 0.0137, mean_prior_absolute_error: 0.5, number_of_instances: 284, precision: 0.9895, predictive_accuracy: 0.9894, prior_entropy: 1, recall: 0.9894, relative_absolute_error: 0.0273, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.1027, root_relative_squared_error: 0.2054, scimark_benchmark: 1650.8736, usercpu_time_millis: 920, usercpu_time_millis_training: 920,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.493, f_measure: 0.4443, kappa: -0.0141, kb_relative_information_score: -4, mean_absolute_error: 0.507, mean_prior_absolute_error: 0.5, number_of_instances: 284, precision: 0.4892, predictive_accuracy: 0.493, prior_entropy: 1, recall: 0.493, relative_absolute_error: 1.0141, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.7121, root_relative_squared_error: 1.4241, scimark_benchmark: 1619.0123, usercpu_time_millis: 40, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.493, f_measure: 0.4724, kappa: -0.0141, kb_relative_information_score: -4, mean_absolute_error: 0.507, mean_prior_absolute_error: 0.5, number_of_instances: 284, precision: 0.4917, predictive_accuracy: 0.493, prior_entropy: 1, recall: 0.493, relative_absolute_error: 1.0141, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.7121, root_relative_squared_error: 1.4241, scimark_benchmark: 1359.7092, usercpu_time_millis: 90, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8275, f_measure: 0.8263, kappa: 0.6549, kb_relative_information_score: 186, mean_absolute_error: 0.1725, mean_prior_absolute_error: 0.5, number_of_instances: 284, precision: 0.8363, predictive_accuracy: 0.8275, prior_entropy: 1, recall: 0.8275, relative_absolute_error: 0.3451, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4154, root_relative_squared_error: 0.8307, scimark_benchmark: 1680.3207, usercpu_time_millis: 2270, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 2260,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9859, f_measure: 0.9859, kappa: 0.9718, kb_relative_information_score: 276, mean_absolute_error: 0.0141, mean_prior_absolute_error: 0.5, number_of_instances: 284, precision: 0.9859, predictive_accuracy: 0.9859, prior_entropy: 1, recall: 0.9859, relative_absolute_error: 0.0282, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.1187, root_relative_squared_error: 0.2374, scimark_benchmark: 1459.7882, usercpu_time_millis: 120, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 110,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9894, kappa: 0.9789, kb_relative_information_score: 275.1118, mean_absolute_error: 0.017, mean_prior_absolute_error: 0.5, number_of_instances: 284, precision: 0.9895, predictive_accuracy: 0.9894, prior_entropy: 1, recall: 0.9894, relative_absolute_error: 0.0339, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.0856, root_relative_squared_error: 0.1712, scimark_benchmark: 1908.2191, usercpu_time_millis: 828.125, usercpu_time_millis_training: 828.125,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9995, f_measure: 0.9894, kappa: 0.9789, kb_relative_information_score: 275.8811, mean_absolute_error: 0.015, mean_prior_absolute_error: 0.5, number_of_instances: 284, precision: 0.9895, predictive_accuracy: 0.9894, prior_entropy: 1, recall: 0.9894, relative_absolute_error: 0.0299, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.0943, root_relative_squared_error: 0.1886, scimark_benchmark: 1378.7506, usercpu_time_millis: 340, usercpu_time_millis_training: 340,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.993, kappa: 0.9859, kb_relative_information_score: 268.687, mean_absolute_error: 0.0308, mean_prior_absolute_error: 0.5, number_of_instances: 284, precision: 0.993, predictive_accuracy: 0.993, prior_entropy: 1, recall: 0.993, relative_absolute_error: 0.0615, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.0982, root_relative_squared_error: 0.1964, scimark_benchmark: 1060.9535, usercpu_time_millis: 78.125, usercpu_time_millis_training: 78.125,
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable).
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9555, f_measure: 0.7984, kappa: 0.6056, kb_relative_information_score: 168.1004, mean_absolute_error: 0.2048, mean_prior_absolute_error: 0.5, number_of_instances: 284, precision: 0.8318, predictive_accuracy: 0.8028, prior_entropy: 1, recall: 0.8028, relative_absolute_error: 0.4095, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4163, root_relative_squared_error: 0.8326, scimark_benchmark: 1502.0599, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9555, f_measure: 0.7984, kappa: 0.6056, kb_relative_information_score: 168.1004, mean_absolute_error: 0.2048, mean_prior_absolute_error: 0.5, number_of_instances: 284, precision: 0.8318, predictive_accuracy: 0.8028, prior_entropy: 1, recall: 0.8028, relative_absolute_error: 0.4095, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4163, root_relative_squared_error: 0.8326, scimark_benchmark: 1315.7396, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.9894, kappa: 0.9789, kb_relative_information_score: 275.4988, mean_absolute_error: 0.0162, mean_prior_absolute_error: 0.5, number_of_instances: 284, precision: 0.9895, predictive_accuracy: 0.9894, prior_entropy: 1, recall: 0.9894, relative_absolute_error: 0.0324, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.0845, root_relative_squared_error: 0.1691, scimark_benchmark: 1275.329, usercpu_time_millis: 210, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 200,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9919, f_measure: 0.9824, kappa: 0.9648, kb_relative_information_score: 273.0936, mean_absolute_error: 0.0194, mean_prior_absolute_error: 0.5, number_of_instances: 284, precision: 0.9824, predictive_accuracy: 0.9824, prior_entropy: 1, recall: 0.9824, relative_absolute_error: 0.0388, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.1326, root_relative_squared_error: 0.2652, scimark_benchmark: 1165.7073, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9567, f_measure: 0.9542, kappa: 0.9085, kb_relative_information_score: 256.5522, mean_absolute_error: 0.0493, mean_prior_absolute_error: 0.5, number_of_instances: 284, precision: 0.9542, predictive_accuracy: 0.9542, prior_entropy: 1, recall: 0.9542, relative_absolute_error: 0.0986, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2132, root_relative_squared_error: 0.4263, scimark_benchmark: 1367.3036, usercpu_time_millis: 20, usercpu_time_millis_testing: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9965, f_measure: 0.9965, kappa: 0.993, kb_relative_information_score: 282, mean_absolute_error: 0.0035, mean_prior_absolute_error: 0.5, number_of_instances: 284, precision: 0.9965, predictive_accuracy: 0.9965, prior_entropy: 1, recall: 0.9965, relative_absolute_error: 0.007, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.0593, root_relative_squared_error: 0.1187, scimark_benchmark: 1229.8802, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9926, f_measure: 0.993, kappa: 0.9859, kb_relative_information_score: 279.8428, mean_absolute_error: 0.0074, mean_prior_absolute_error: 0.5, number_of_instances: 284, precision: 0.993, predictive_accuracy: 0.993, prior_entropy: 1, recall: 0.993, relative_absolute_error: 0.0148, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.0839, root_relative_squared_error: 0.1679, scimark_benchmark: 702.1172, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9824, f_measure: 0.9824, kappa: 0.9648, kb_relative_information_score: 274, mean_absolute_error: 0.0176, mean_prior_absolute_error: 0.5, number_of_instances: 284, precision: 0.9826, predictive_accuracy: 0.9824, prior_entropy: 1, recall: 0.9824, relative_absolute_error: 0.0352, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.1327, root_relative_squared_error: 0.2654, scimark_benchmark: 1618.1738, usercpu_time_millis: 15.625, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9789, f_measure: 0.9789, kappa: 0.9577, kb_relative_information_score: 272, mean_absolute_error: 0.0211, mean_prior_absolute_error: 0.5, number_of_instances: 284, precision: 0.9793, predictive_accuracy: 0.9789, prior_entropy: 1, recall: 0.9789, relative_absolute_error: 0.0423, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.1454, root_relative_squared_error: 0.2907, scimark_benchmark: 1618.1738,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9915, f_measure: 0.9894, kappa: 0.9789, kb_relative_information_score: 277.6969, mean_absolute_error: 0.0113, mean_prior_absolute_error: 0.5, number_of_instances: 284, precision: 0.9895, predictive_accuracy: 0.9894, prior_entropy: 1, recall: 0.9894, relative_absolute_error: 0.0226, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.1025, root_relative_squared_error: 0.2051, scimark_benchmark: 1925.3565,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9965, kappa: 0.993, kb_relative_information_score: 274.8156, mean_absolute_error: 0.0205, mean_prior_absolute_error: 0.5, number_of_instances: 284, precision: 0.9965, predictive_accuracy: 0.9965, prior_entropy: 1, recall: 0.9965, relative_absolute_error: 0.0411, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.0558, root_relative_squared_error: 0.1117, scimark_benchmark: 1925.3565, usercpu_time_millis: 15.625, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9363, f_measure: 0.9541, kappa: 0.9085, kb_relative_information_score: 243.465, mean_absolute_error: 0.0799, mean_prior_absolute_error: 0.5, number_of_instances: 284, precision: 0.9581, predictive_accuracy: 0.9542, prior_entropy: 1, recall: 0.9542, relative_absolute_error: 0.1598, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2058, root_relative_squared_error: 0.4115, scimark_benchmark: 1925.3565,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9965, f_measure: 0.9965, kappa: 0.993, kb_relative_information_score: 282, mean_absolute_error: 0.0035, mean_prior_absolute_error: 0.5, number_of_instances: 284, precision: 0.9965, predictive_accuracy: 0.9965, prior_entropy: 1, recall: 0.9965, relative_absolute_error: 0.007, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.0593, root_relative_squared_error: 0.1187, scimark_benchmark: 1925.3565,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9555, f_measure: 0.7984, kappa: 0.6056, kb_relative_information_score: 168.1004, mean_absolute_error: 0.2048, mean_prior_absolute_error: 0.5, number_of_instances: 284, precision: 0.8318, predictive_accuracy: 0.8028, prior_entropy: 1, recall: 0.8028, relative_absolute_error: 0.4095, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4163, root_relative_squared_error: 0.8326, scimark_benchmark: 1925.3565,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9824, f_measure: 0.9824, kappa: 0.9648, kb_relative_information_score: 274, mean_absolute_error: 0.0176, mean_prior_absolute_error: 0.5, number_of_instances: 284, precision: 0.9826, predictive_accuracy: 0.9824, prior_entropy: 1, recall: 0.9824, relative_absolute_error: 0.0352, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.1327, root_relative_squared_error: 0.2654, scimark_benchmark: 1925.3565,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9789, f_measure: 0.9789, kappa: 0.9577, kb_relative_information_score: 272, mean_absolute_error: 0.0211, mean_prior_absolute_error: 0.5, number_of_instances: 284, precision: 0.9793, predictive_accuracy: 0.9789, prior_entropy: 1, recall: 0.9789, relative_absolute_error: 0.0423, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.1454, root_relative_squared_error: 0.2907, scimark_benchmark: 1925.3565, usercpu_time_millis: 15.625, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9995, f_measure: 0.9894, kappa: 0.9789, kb_relative_information_score: 275.0547, mean_absolute_error: 0.0171, mean_prior_absolute_error: 0.5, number_of_instances: 284, precision: 0.9895, predictive_accuracy: 0.9894, prior_entropy: 1, recall: 0.9894, relative_absolute_error: 0.0342, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.0926, root_relative_squared_error: 0.1851, scimark_benchmark: 1925.3565, usercpu_time_millis: 78.125, usercpu_time_millis_training: 78.125,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9919, f_measure: 0.9824, kappa: 0.9648, kb_relative_information_score: 273.0936, mean_absolute_error: 0.0194, mean_prior_absolute_error: 0.5, number_of_instances: 284, precision: 0.9824, predictive_accuracy: 0.9824, prior_entropy: 1, recall: 0.9824, relative_absolute_error: 0.0388, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.1326, root_relative_squared_error: 0.2652, scimark_benchmark: 1925.3565, usercpu_time_millis: 15.625, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9567, f_measure: 0.9542, kappa: 0.9085, kb_relative_information_score: 256.5522, mean_absolute_error: 0.0493, mean_prior_absolute_error: 0.5, number_of_instances: 284, precision: 0.9542, predictive_accuracy: 0.9542, prior_entropy: 1, recall: 0.9542, relative_absolute_error: 0.0986, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2132, root_relative_squared_error: 0.4263, scimark_benchmark: 1925.3565,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9965, f_measure: 0.9965, kappa: 0.993, kb_relative_information_score: 282, mean_absolute_error: 0.0035, mean_prior_absolute_error: 0.5, number_of_instances: 284, precision: 0.9965, predictive_accuracy: 0.9965, prior_entropy: 1, recall: 0.9965, relative_absolute_error: 0.007, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.0593, root_relative_squared_error: 0.1187, scimark_benchmark: 1892.0925,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.993, f_measure: 0.993, kappa: 0.9859, kb_relative_information_score: 280, mean_absolute_error: 0.007, mean_prior_absolute_error: 0.5, number_of_instances: 284, precision: 0.993, predictive_accuracy: 0.993, prior_entropy: 1, recall: 0.993, relative_absolute_error: 0.0141, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.0839, root_relative_squared_error: 0.1678, scimark_benchmark: 1892.0925,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9915, f_measure: 0.9894, kappa: 0.9789, kb_relative_information_score: 277.6969, mean_absolute_error: 0.0113, mean_prior_absolute_error: 0.5, number_of_instances: 284, precision: 0.9895, predictive_accuracy: 0.9894, prior_entropy: 1, recall: 0.9894, relative_absolute_error: 0.0226, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.1025, root_relative_squared_error: 0.2051, scimark_benchmark: 1892.0925,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9965, kappa: 0.993, kb_relative_information_score: 274.7934, mean_absolute_error: 0.0206, mean_prior_absolute_error: 0.5, number_of_instances: 284, precision: 0.9965, predictive_accuracy: 0.9965, prior_entropy: 1, recall: 0.9965, relative_absolute_error: 0.0413, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.0539, root_relative_squared_error: 0.1077, scimark_benchmark: 1892.0925, usercpu_time_millis: 31.25, usercpu_time_millis_training: 31.25,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9363, f_measure: 0.9541, kappa: 0.9085, kb_relative_information_score: 243.465, mean_absolute_error: 0.0799, mean_prior_absolute_error: 0.5, number_of_instances: 284, precision: 0.9581, predictive_accuracy: 0.9542, prior_entropy: 1, recall: 0.9542, relative_absolute_error: 0.1598, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2058, root_relative_squared_error: 0.4115, scimark_benchmark: 1892.0925,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9965, f_measure: 0.9965, kappa: 0.993, kb_relative_information_score: 282, mean_absolute_error: 0.0035, mean_prior_absolute_error: 0.5, number_of_instances: 284, precision: 0.9965, predictive_accuracy: 0.9965, prior_entropy: 1, recall: 0.9965, relative_absolute_error: 0.007, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.0593, root_relative_squared_error: 0.1187, scimark_benchmark: 1892.0925,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9919, f_measure: 0.9824, kappa: 0.9648, kb_relative_information_score: 273.0936, mean_absolute_error: 0.0194, mean_prior_absolute_error: 0.5, number_of_instances: 284, precision: 0.9824, predictive_accuracy: 0.9824, prior_entropy: 1, recall: 0.9824, relative_absolute_error: 0.0388, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.1326, root_relative_squared_error: 0.2652, scimark_benchmark: 1834.908, usercpu_time_millis: 15.625, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9965, f_measure: 0.9965, kappa: 0.993, kb_relative_information_score: 282, mean_absolute_error: 0.0035, mean_prior_absolute_error: 0.5, number_of_instances: 284, precision: 0.9965, predictive_accuracy: 0.9965, prior_entropy: 1, recall: 0.9965, relative_absolute_error: 0.007, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.0593, root_relative_squared_error: 0.1187, scimark_benchmark: 1834.908,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9995, f_measure: 0.9894, kappa: 0.9789, kb_relative_information_score: 275.1436, mean_absolute_error: 0.017, mean_prior_absolute_error: 0.5, number_of_instances: 284, precision: 0.9895, predictive_accuracy: 0.9894, prior_entropy: 1, recall: 0.9894, relative_absolute_error: 0.0339, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.0917, root_relative_squared_error: 0.1834, scimark_benchmark: 1834.908, usercpu_time_millis: 93.75, usercpu_time_millis_training: 93.75,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9965, f_measure: 0.9965, kappa: 0.993, kb_relative_information_score: 282, mean_absolute_error: 0.0035, mean_prior_absolute_error: 0.5, number_of_instances: 284, precision: 0.9965, predictive_accuracy: 0.9965, prior_entropy: 1, recall: 0.9965, relative_absolute_error: 0.007, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.0593, root_relative_squared_error: 0.1187, scimark_benchmark: 1834.908,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9965, f_measure: 0.9965, kappa: 0.993, kb_relative_information_score: 282, mean_absolute_error: 0.0035, mean_prior_absolute_error: 0.5, number_of_instances: 284, precision: 0.9965, predictive_accuracy: 0.9965, prior_entropy: 1, recall: 0.9965, relative_absolute_error: 0.007, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.0593, root_relative_squared_error: 0.1187, scimark_benchmark: 1788.6668,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9965, f_measure: 0.9965, kappa: 0.993, kb_relative_information_score: 282, mean_absolute_error: 0.0035, mean_prior_absolute_error: 0.5, number_of_instances: 284, precision: 0.9965, predictive_accuracy: 0.9965, prior_entropy: 1, recall: 0.9965, relative_absolute_error: 0.007, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.0593, root_relative_squared_error: 0.1187, scimark_benchmark: 1788.6668,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.993, f_measure: 0.993, kappa: 0.9859, kb_relative_information_score: 280, mean_absolute_error: 0.007, mean_prior_absolute_error: 0.5, number_of_instances: 284, precision: 0.993, predictive_accuracy: 0.993, prior_entropy: 1, recall: 0.993, relative_absolute_error: 0.0141, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.0839, root_relative_squared_error: 0.1678, scimark_benchmark: 1788.6668, usercpu_time_millis: 15.625, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9965, kappa: 0.993, kb_relative_information_score: 278.7667, mean_absolute_error: 0.0108, mean_prior_absolute_error: 0.5, number_of_instances: 284, precision: 0.9965, predictive_accuracy: 0.9965, prior_entropy: 1, recall: 0.9965, relative_absolute_error: 0.0216, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.0551, root_relative_squared_error: 0.1103, scimark_benchmark: 1788.6668, usercpu_time_millis: 78.125, usercpu_time_millis_training: 78.125,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9965, kappa: 0.993, kb_relative_information_score: 281.4489, mean_absolute_error: 0.0047, mean_prior_absolute_error: 0.5, number_of_instances: 284, precision: 0.9965, predictive_accuracy: 0.9965, prior_entropy: 1, recall: 0.9965, relative_absolute_error: 0.0094, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.0614, root_relative_squared_error: 0.1227, scimark_benchmark: 1788.6668, usercpu_time_millis: 15.625, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.993, f_measure: 0.993, kappa: 0.9859, kb_relative_information_score: 280, mean_absolute_error: 0.007, mean_prior_absolute_error: 0.5, number_of_instances: 284, precision: 0.9931, predictive_accuracy: 0.993, prior_entropy: 1, recall: 0.993, relative_absolute_error: 0.0141, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.0839, root_relative_squared_error: 0.1678, scimark_benchmark: 1788.6668, usercpu_time_millis: 15.625, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9824, f_measure: 0.9824, kappa: 0.9648, kb_relative_information_score: 274, mean_absolute_error: 0.0176, mean_prior_absolute_error: 0.5, number_of_instances: 284, precision: 0.9826, predictive_accuracy: 0.9824, prior_entropy: 1, recall: 0.9824, relative_absolute_error: 0.0352, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.1327, root_relative_squared_error: 0.2654, scimark_benchmark: 1505.6452,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9965, f_measure: 0.9965, kappa: 0.993, kb_relative_information_score: 282, mean_absolute_error: 0.0035, mean_prior_absolute_error: 0.5, number_of_instances: 284, precision: 0.9965, predictive_accuracy: 0.9965, prior_entropy: 1, recall: 0.9965, relative_absolute_error: 0.007, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.0593, root_relative_squared_error: 0.1187, scimark_benchmark: 925.0343, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.993, kappa: 0.9859, kb_relative_information_score: 274.4272, mean_absolute_error: 0.019, mean_prior_absolute_error: 0.5, number_of_instances: 284, precision: 0.993, predictive_accuracy: 0.993, prior_entropy: 1, recall: 0.993, relative_absolute_error: 0.0381, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.0816, root_relative_squared_error: 0.1632, scimark_benchmark: 1447.2612,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9901, f_measure: 0.9859, kappa: 0.9718, kb_relative_information_score: 277.2176, mean_absolute_error: 0.0125, mean_prior_absolute_error: 0.5, number_of_instances: 284, precision: 0.986, predictive_accuracy: 0.9859, prior_entropy: 1, recall: 0.9859, relative_absolute_error: 0.0249, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.0937, root_relative_squared_error: 0.1874, scimark_benchmark: 1840.6094, usercpu_time_millis: 15.625, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9814, f_measure: 0.9612, kappa: 0.9225, kb_relative_information_score: 258.2711, mean_absolute_error: 0.0458, mean_prior_absolute_error: 0.5, number_of_instances: 284, precision: 0.9624, predictive_accuracy: 0.9613, prior_entropy: 1, recall: 0.9613, relative_absolute_error: 0.0916, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.1703, root_relative_squared_error: 0.3406, scimark_benchmark: 1840.6094,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9941, f_measure: 0.9613, kappa: 0.9225, kb_relative_information_score: 242.9924, mean_absolute_error: 0.0767, mean_prior_absolute_error: 0.5, number_of_instances: 284, precision: 0.9613, predictive_accuracy: 0.9613, prior_entropy: 1, recall: 0.9613, relative_absolute_error: 0.1535, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.1845, root_relative_squared_error: 0.3691, scimark_benchmark: 1873.1108, usercpu_time_millis: 15.625, usercpu_time_millis_testing: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9947, f_measure: 0.993, kappa: 0.9859, kb_relative_information_score: 276.6967, mean_absolute_error: 0.0141, mean_prior_absolute_error: 0.5, number_of_instances: 284, precision: 0.993, predictive_accuracy: 0.993, prior_entropy: 1, recall: 0.993, relative_absolute_error: 0.0283, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.0864, root_relative_squared_error: 0.1728, scimark_benchmark: 1873.1108, usercpu_time_millis: 15.625, usercpu_time_millis_testing: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9932, f_measure: 0.9613, kappa: 0.9225, kb_relative_information_score: 247.2591, mean_absolute_error: 0.0676, mean_prior_absolute_error: 0.5, number_of_instances: 284, precision: 0.9615, predictive_accuracy: 0.9613, prior_entropy: 1, recall: 0.9613, relative_absolute_error: 0.1352, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.1858, root_relative_squared_error: 0.3715, scimark_benchmark: 1873.1108,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9437, f_measure: 0.9437, kappa: 0.8873, kb_relative_information_score: 252, mean_absolute_error: 0.0563, mean_prior_absolute_error: 0.5, number_of_instances: 284, precision: 0.9437, predictive_accuracy: 0.9437, prior_entropy: 1, recall: 0.9437, relative_absolute_error: 0.1127, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2374, root_relative_squared_error: 0.4747,

Metric:

Timeline

Plotting contribution timeline

Leaderboard

Rank Name Top Score Entries Highest rank

Note: The leaderboard ignores resubmissions of previous solutions, as well as parameter variations that do not improve performance.

Challenge

In supervised classification, you are given an input dataset in which instances are labeled with a certain class. The goal is to build a model that predicts the class for future unlabeled instances. The model is evaluated using a train-test procedure, e.g. cross-validation.

To make results by different users comparable, you are given the exact train-test folds to be used, and you need to return at least the predictions generated by your model for each of the test instances. OpenML will use these predictions to calculate a range of evaluation measures on the server.

You can also upload your own evaluation measures, provided that the code for doing so is available from the implementation used. For extremely large datasets, it may be infeasible to upload all predictions. In those cases, you need to compute and provide the evaluations yourself.

Optionally, you can upload the model trained on all the input data. There is no restriction on the file format, but please use a well-known format or PMML.

Given inputs

Expected outputs

evaluations A list of user-defined evaluations of the task as key-value pairs. KeyValue (optional)
model A file containing the model built on all the input data. File (optional)
predictions The desired output format Predictions (optional)

How to submit runs

Using your favorite machine learning environment

Download this task directly in your environment and automatically upload your results

OpenML bootcamp

From your own software

Use one of our APIs to download data from OpenML and upload your results

OpenML APIs