Task
Supervised Classification on transplant

Supervised Classification on transplant

Task 3748 Supervised Classification transplant 1026 runs submitted
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1026 Runs

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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9896, f_measure: 0.9923, kappa: 0.9835, kb_relative_information_score: 128.5689, mean_absolute_error: 0.0076, mean_prior_absolute_error: 0.4648, number_of_instances: 131, precision: 0.9925, predictive_accuracy: 0.9924, prior_entropy: 0.9495, recall: 0.9924, relative_absolute_error: 0.0164, root_mean_prior_squared_error: 0.4818, root_mean_squared_error: 0.0874, root_relative_squared_error: 0.1813,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9784, f_measure: 0.977, kappa: 0.9505, kb_relative_information_score: 123.9306, mean_absolute_error: 0.0239, mean_prior_absolute_error: 0.4648, number_of_instances: 131, precision: 0.9771, predictive_accuracy: 0.9771, prior_entropy: 0.9495, recall: 0.9771, relative_absolute_error: 0.0515, root_mean_prior_squared_error: 0.4818, root_mean_squared_error: 0.1493, root_relative_squared_error: 0.3099,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9992, f_measure: 0.9923, kappa: 0.9835, kb_relative_information_score: 117.7733, mean_absolute_error: 0.0532, mean_prior_absolute_error: 0.4648, number_of_instances: 131, precision: 0.9925, predictive_accuracy: 0.9924, prior_entropy: 0.9495, recall: 0.9924, relative_absolute_error: 0.1145, root_mean_prior_squared_error: 0.4818, root_mean_squared_error: 0.1218, root_relative_squared_error: 0.2527,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.988, f_measure: 0.9848, kappa: 0.9674, kb_relative_information_score: 126.3534, mean_absolute_error: 0.0153, mean_prior_absolute_error: 0.4648, number_of_instances: 131, precision: 0.9853, predictive_accuracy: 0.9847, prior_entropy: 0.9495, recall: 0.9847, relative_absolute_error: 0.0328, root_mean_prior_squared_error: 0.4818, root_mean_squared_error: 0.1236, root_relative_squared_error: 0.2564,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.998, f_measure: 0.9848, kappa: 0.9674, kb_relative_information_score: 121.4023, mean_absolute_error: 0.0362, mean_prior_absolute_error: 0.4648, number_of_instances: 131, precision: 0.9853, predictive_accuracy: 0.9847, prior_entropy: 0.9495, recall: 0.9847, relative_absolute_error: 0.0779, root_mean_prior_squared_error: 0.4818, root_mean_squared_error: 0.1278, root_relative_squared_error: 0.2653,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9987, f_measure: 0.9771, kappa: 0.9509, kb_relative_information_score: 122.3503, mean_absolute_error: 0.0312, mean_prior_absolute_error: 0.4648, number_of_instances: 131, precision: 0.9773, predictive_accuracy: 0.9771, prior_entropy: 0.9495, recall: 0.9771, relative_absolute_error: 0.0671, root_mean_prior_squared_error: 0.4818, root_mean_squared_error: 0.1252, root_relative_squared_error: 0.2598,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9792, f_measure: 0.9847, kappa: 0.9668, kb_relative_information_score: 126.3534, mean_absolute_error: 0.0153, mean_prior_absolute_error: 0.4648, number_of_instances: 131, precision: 0.9851, predictive_accuracy: 0.9847, prior_entropy: 0.9495, recall: 0.9847, relative_absolute_error: 0.0328, root_mean_prior_squared_error: 0.4818, root_mean_squared_error: 0.1236, root_relative_squared_error: 0.2564,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9985, f_measure: 0.9693, kappa: 0.9337, kb_relative_information_score: 119.3849, mean_absolute_error: 0.043, mean_prior_absolute_error: 0.4648, number_of_instances: 131, precision: 0.9697, predictive_accuracy: 0.9695, prior_entropy: 0.9495, recall: 0.9695, relative_absolute_error: 0.0926, root_mean_prior_squared_error: 0.4818, root_mean_squared_error: 0.1367, root_relative_squared_error: 0.2837,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9977, f_measure: 0.9693, kappa: 0.9337, kb_relative_information_score: 118.7994, mean_absolute_error: 0.0443, mean_prior_absolute_error: 0.4648, number_of_instances: 131, precision: 0.9697, predictive_accuracy: 0.9695, prior_entropy: 0.9495, recall: 0.9695, relative_absolute_error: 0.0953, root_mean_prior_squared_error: 0.4818, root_mean_squared_error: 0.1454, root_relative_squared_error: 0.3018,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9716, f_measure: 0.9693, kappa: 0.9337, kb_relative_information_score: 121.4472, mean_absolute_error: 0.0342, mean_prior_absolute_error: 0.4648, number_of_instances: 131, precision: 0.9697, predictive_accuracy: 0.9695, prior_entropy: 0.9495, recall: 0.9695, relative_absolute_error: 0.0735, root_mean_prior_squared_error: 0.4818, root_mean_squared_error: 0.1588, root_relative_squared_error: 0.3296,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9746, f_measure: 0.9847, kappa: 0.9668, kb_relative_information_score: 126.001, mean_absolute_error: 0.017, mean_prior_absolute_error: 0.4648, number_of_instances: 131, precision: 0.9851, predictive_accuracy: 0.9847, prior_entropy: 0.9495, recall: 0.9847, relative_absolute_error: 0.0365, root_mean_prior_squared_error: 0.4818, root_mean_squared_error: 0.1242, root_relative_squared_error: 0.2577,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9995, f_measure: 0.977, kappa: 0.9505, kb_relative_information_score: 125.8174, mean_absolute_error: 0.0171, mean_prior_absolute_error: 0.4648, number_of_instances: 131, precision: 0.9771, predictive_accuracy: 0.9771, prior_entropy: 0.9495, recall: 0.9771, relative_absolute_error: 0.0368, root_mean_prior_squared_error: 0.4818, root_mean_squared_error: 0.0941, root_relative_squared_error: 0.1953,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.994, f_measure: 0.9924, kappa: 0.9836, kb_relative_information_score: 128.5689, mean_absolute_error: 0.0076, mean_prior_absolute_error: 0.4648, number_of_instances: 131, precision: 0.9925, predictive_accuracy: 0.9924, prior_entropy: 0.9495, recall: 0.9924, relative_absolute_error: 0.0164, root_mean_prior_squared_error: 0.4818, root_mean_squared_error: 0.0874, root_relative_squared_error: 0.1813,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9933, f_measure: 0.9847, kappa: 0.9671, kb_relative_information_score: 125.4711, mean_absolute_error: 0.0185, mean_prior_absolute_error: 0.4648, number_of_instances: 131, precision: 0.9847, predictive_accuracy: 0.9847, prior_entropy: 0.9495, recall: 0.9847, relative_absolute_error: 0.0398, root_mean_prior_squared_error: 0.4818, root_mean_squared_error: 0.1166, root_relative_squared_error: 0.2419,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9992, f_measure: 0.9847, kappa: 0.9671, kb_relative_information_score: 124.0864, mean_absolute_error: 0.0254, mean_prior_absolute_error: 0.4648, number_of_instances: 131, precision: 0.9847, predictive_accuracy: 0.9847, prior_entropy: 0.9495, recall: 0.9847, relative_absolute_error: 0.0547, root_mean_prior_squared_error: 0.4818, root_mean_squared_error: 0.1043, root_relative_squared_error: 0.2165,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9992, f_measure: 0.9847, kappa: 0.9671, kb_relative_information_score: 124.0864, mean_absolute_error: 0.0254, mean_prior_absolute_error: 0.4648, number_of_instances: 131, precision: 0.9847, predictive_accuracy: 0.9847, prior_entropy: 0.9495, recall: 0.9847, relative_absolute_error: 0.0547, root_mean_prior_squared_error: 0.4818, root_mean_squared_error: 0.1043, root_relative_squared_error: 0.2165,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9992, f_measure: 0.9693, kappa: 0.9337, kb_relative_information_score: 119.9923, mean_absolute_error: 0.0398, mean_prior_absolute_error: 0.4648, number_of_instances: 131, precision: 0.9697, predictive_accuracy: 0.9695, prior_entropy: 0.9495, recall: 0.9695, relative_absolute_error: 0.0856, root_mean_prior_squared_error: 0.4818, root_mean_squared_error: 0.1366, root_relative_squared_error: 0.2834,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9995, f_measure: 0.977, kappa: 0.9505, kb_relative_information_score: 122.8779, mean_absolute_error: 0.0297, mean_prior_absolute_error: 0.4648, number_of_instances: 131, precision: 0.9771, predictive_accuracy: 0.9771, prior_entropy: 0.9495, recall: 0.9771, relative_absolute_error: 0.0639, root_mean_prior_squared_error: 0.4818, root_mean_squared_error: 0.1081, root_relative_squared_error: 0.2244,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9992, f_measure: 0.9693, kappa: 0.9337, kb_relative_information_score: 119.9923, mean_absolute_error: 0.0398, mean_prior_absolute_error: 0.4648, number_of_instances: 131, precision: 0.9697, predictive_accuracy: 0.9695, prior_entropy: 0.9495, recall: 0.9695, relative_absolute_error: 0.0856, root_mean_prior_squared_error: 0.4818, root_mean_squared_error: 0.1366, root_relative_squared_error: 0.2834,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9923, kappa: 0.9835, kb_relative_information_score: 124.392, mean_absolute_error: 0.026, mean_prior_absolute_error: 0.4648, number_of_instances: 131, precision: 0.9925, predictive_accuracy: 0.9924, prior_entropy: 0.9495, recall: 0.9924, relative_absolute_error: 0.0558, root_mean_prior_squared_error: 0.4818, root_mean_squared_error: 0.09, root_relative_squared_error: 0.1867,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9939, f_measure: 0.9848, kappa: 0.9674, kb_relative_information_score: 126.6493, mean_absolute_error: 0.0145, mean_prior_absolute_error: 0.4648, number_of_instances: 131, precision: 0.9853, predictive_accuracy: 0.9847, prior_entropy: 0.9495, recall: 0.9847, relative_absolute_error: 0.0312, root_mean_prior_squared_error: 0.4818, root_mean_squared_error: 0.103, root_relative_squared_error: 0.2138,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9982, f_measure: 0.9695, kappa: 0.9342, kb_relative_information_score: 119.1501, mean_absolute_error: 0.0451, mean_prior_absolute_error: 0.4648, number_of_instances: 131, precision: 0.9695, predictive_accuracy: 0.9695, prior_entropy: 0.9495, recall: 0.9695, relative_absolute_error: 0.097, root_mean_prior_squared_error: 0.4818, root_mean_squared_error: 0.1299, root_relative_squared_error: 0.2696,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4705, f_measure: 0.4915, kb_relative_information_score: -0.2023, mean_absolute_error: 0.4651, mean_prior_absolute_error: 0.4648, number_of_instances: 131, precision: 0.4014, predictive_accuracy: 0.6336, prior_entropy: 0.9495, recall: 0.6336, relative_absolute_error: 1.0006, root_mean_prior_squared_error: 0.4818, root_mean_squared_error: 0.482, root_relative_squared_error: 1.0005,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9992, f_measure: 0.977, kappa: 0.9505, kb_relative_information_score: 122.6079, mean_absolute_error: 0.0306, mean_prior_absolute_error: 0.4648, number_of_instances: 131, precision: 0.9771, predictive_accuracy: 0.9771, prior_entropy: 0.9495, recall: 0.9771, relative_absolute_error: 0.0658, root_mean_prior_squared_error: 0.4818, root_mean_squared_error: 0.112, root_relative_squared_error: 0.2324,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9992, f_measure: 0.977, kappa: 0.9505, kb_relative_information_score: 122.6079, mean_absolute_error: 0.0306, mean_prior_absolute_error: 0.4648, number_of_instances: 131, precision: 0.9771, predictive_accuracy: 0.9771, prior_entropy: 0.9495, recall: 0.9771, relative_absolute_error: 0.0658, root_mean_prior_squared_error: 0.4818, root_mean_squared_error: 0.112, root_relative_squared_error: 0.2324,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9992, f_measure: 0.977, kappa: 0.9505, kb_relative_information_score: 122.6079, mean_absolute_error: 0.0306, mean_prior_absolute_error: 0.4648, number_of_instances: 131, precision: 0.9771, predictive_accuracy: 0.9771, prior_entropy: 0.9495, recall: 0.9771, relative_absolute_error: 0.0658, root_mean_prior_squared_error: 0.4818, root_mean_squared_error: 0.112, root_relative_squared_error: 0.2324,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.994, f_measure: 0.9924, kappa: 0.9836, kb_relative_information_score: 128.5689, mean_absolute_error: 0.0076, mean_prior_absolute_error: 0.4648, number_of_instances: 131, precision: 0.9925, predictive_accuracy: 0.9924, prior_entropy: 0.9495, recall: 0.9924, relative_absolute_error: 0.0164, root_mean_prior_squared_error: 0.4818, root_mean_squared_error: 0.0874, root_relative_squared_error: 0.1813,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9972, f_measure: 0.9693, kappa: 0.9337, kb_relative_information_score: 118.2246, mean_absolute_error: 0.0463, mean_prior_absolute_error: 0.4648, number_of_instances: 131, precision: 0.9697, predictive_accuracy: 0.9695, prior_entropy: 0.9495, recall: 0.9695, relative_absolute_error: 0.0995, root_mean_prior_squared_error: 0.4818, root_mean_squared_error: 0.1509, root_relative_squared_error: 0.3131,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9797, f_measure: 0.9847, kappa: 0.9668, kb_relative_information_score: 123.9782, mean_absolute_error: 0.0261, mean_prior_absolute_error: 0.4648, number_of_instances: 131, precision: 0.9851, predictive_accuracy: 0.9847, prior_entropy: 0.9495, recall: 0.9847, relative_absolute_error: 0.0563, root_mean_prior_squared_error: 0.4818, root_mean_squared_error: 0.1195, root_relative_squared_error: 0.2479,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9688, f_measure: 0.9769, kappa: 0.95, kb_relative_information_score: 124.1379, mean_absolute_error: 0.0229, mean_prior_absolute_error: 0.4648, number_of_instances: 131, precision: 0.9779, predictive_accuracy: 0.9771, prior_entropy: 0.9495, recall: 0.9771, relative_absolute_error: 0.0493, root_mean_prior_squared_error: 0.4818, root_mean_squared_error: 0.1513, root_relative_squared_error: 0.3141,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9995, f_measure: 0.9847, kappa: 0.9671, kb_relative_information_score: 125.6682, mean_absolute_error: 0.0185, mean_prior_absolute_error: 0.4648, number_of_instances: 131, precision: 0.9847, predictive_accuracy: 0.9847, prior_entropy: 0.9495, recall: 0.9847, relative_absolute_error: 0.0397, root_mean_prior_squared_error: 0.4818, root_mean_squared_error: 0.0973, root_relative_squared_error: 0.2019,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9688, f_measure: 0.9769, kappa: 0.95, kb_relative_information_score: 124.1379, mean_absolute_error: 0.0229, mean_prior_absolute_error: 0.4648, number_of_instances: 131, precision: 0.9779, predictive_accuracy: 0.9771, prior_entropy: 0.9495, recall: 0.9771, relative_absolute_error: 0.0493, root_mean_prior_squared_error: 0.4818, root_mean_squared_error: 0.1513, root_relative_squared_error: 0.3141,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9992, f_measure: 0.9693, kappa: 0.9337, kb_relative_information_score: 119.9923, mean_absolute_error: 0.0398, mean_prior_absolute_error: 0.4648, number_of_instances: 131, precision: 0.9697, predictive_accuracy: 0.9695, prior_entropy: 0.9495, recall: 0.9695, relative_absolute_error: 0.0856, root_mean_prior_squared_error: 0.4818, root_mean_squared_error: 0.1366, root_relative_squared_error: 0.2834,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.994, f_measure: 0.9924, kappa: 0.9836, kb_relative_information_score: 128.5689, mean_absolute_error: 0.0076, mean_prior_absolute_error: 0.4648, number_of_instances: 131, precision: 0.9925, predictive_accuracy: 0.9924, prior_entropy: 0.9495, recall: 0.9924, relative_absolute_error: 0.0164, root_mean_prior_squared_error: 0.4818, root_mean_squared_error: 0.0874, root_relative_squared_error: 0.1813,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.999, f_measure: 0.9693, kappa: 0.9337, kb_relative_information_score: 120.2955, mean_absolute_error: 0.0399, mean_prior_absolute_error: 0.4648, number_of_instances: 131, precision: 0.9697, predictive_accuracy: 0.9695, prior_entropy: 0.9495, recall: 0.9695, relative_absolute_error: 0.0858, root_mean_prior_squared_error: 0.4818, root_mean_squared_error: 0.1281, root_relative_squared_error: 0.266,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9688, f_measure: 0.9769, kappa: 0.95, kb_relative_information_score: 124.1379, mean_absolute_error: 0.0229, mean_prior_absolute_error: 0.4648, number_of_instances: 131, precision: 0.9779, predictive_accuracy: 0.9771, prior_entropy: 0.9495, recall: 0.9771, relative_absolute_error: 0.0493, root_mean_prior_squared_error: 0.4818, root_mean_squared_error: 0.1513, root_relative_squared_error: 0.3141,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9985, f_measure: 0.977, kappa: 0.9505, kb_relative_information_score: 120.3084, mean_absolute_error: 0.0397, mean_prior_absolute_error: 0.4648, number_of_instances: 131, precision: 0.9771, predictive_accuracy: 0.9771, prior_entropy: 0.9495, recall: 0.9771, relative_absolute_error: 0.0854, root_mean_prior_squared_error: 0.4818, root_mean_squared_error: 0.1237, root_relative_squared_error: 0.2567,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9896, f_measure: 0.9923, kappa: 0.9835, kb_relative_information_score: 128.5689, mean_absolute_error: 0.0076, mean_prior_absolute_error: 0.4648, number_of_instances: 131, precision: 0.9925, predictive_accuracy: 0.9924, prior_entropy: 0.9495, recall: 0.9924, relative_absolute_error: 0.0164, root_mean_prior_squared_error: 0.4818, root_mean_squared_error: 0.0874, root_relative_squared_error: 0.1813,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9992, f_measure: 0.9693, kappa: 0.9337, kb_relative_information_score: 119.9923, mean_absolute_error: 0.0398, mean_prior_absolute_error: 0.4648, number_of_instances: 131, precision: 0.9697, predictive_accuracy: 0.9695, prior_entropy: 0.9495, recall: 0.9695, relative_absolute_error: 0.0856, root_mean_prior_squared_error: 0.4818, root_mean_squared_error: 0.1366, root_relative_squared_error: 0.2834,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.995, f_measure: 0.9695, kappa: 0.9342, kb_relative_information_score: 112.226, mean_absolute_error: 0.0729, mean_prior_absolute_error: 0.4648, number_of_instances: 131, precision: 0.9695, predictive_accuracy: 0.9695, prior_entropy: 0.9495, recall: 0.9695, relative_absolute_error: 0.1569, root_mean_prior_squared_error: 0.4818, root_mean_squared_error: 0.1671, root_relative_squared_error: 0.3467,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.999, f_measure: 0.977, kappa: 0.9505, kb_relative_information_score: 123.3802, mean_absolute_error: 0.0267, mean_prior_absolute_error: 0.4648, number_of_instances: 131, precision: 0.9771, predictive_accuracy: 0.9771, prior_entropy: 0.9495, recall: 0.9771, relative_absolute_error: 0.0575, root_mean_prior_squared_error: 0.4818, root_mean_squared_error: 0.1109, root_relative_squared_error: 0.2301,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9896, f_measure: 0.9923, kappa: 0.9835, kb_relative_information_score: 128.5689, mean_absolute_error: 0.0076, mean_prior_absolute_error: 0.4648, number_of_instances: 131, precision: 0.9925, predictive_accuracy: 0.9924, prior_entropy: 0.9495, recall: 0.9924, relative_absolute_error: 0.0164, root_mean_prior_squared_error: 0.4818, root_mean_squared_error: 0.0874, root_relative_squared_error: 0.1813,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9836, f_measure: 0.9847, kappa: 0.9671, kb_relative_information_score: 126.3534, mean_absolute_error: 0.0153, mean_prior_absolute_error: 0.4648, number_of_instances: 131, precision: 0.9847, predictive_accuracy: 0.9847, prior_entropy: 0.9495, recall: 0.9847, relative_absolute_error: 0.0328, root_mean_prior_squared_error: 0.4818, root_mean_squared_error: 0.1236, root_relative_squared_error: 0.2564, scimark_benchmark: 1461.2356, usercpu_time_millis: 15.625, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9731, f_measure: 0.977, kappa: 0.9505, kb_relative_information_score: 124.1379, mean_absolute_error: 0.0229, mean_prior_absolute_error: 0.4648, number_of_instances: 131, precision: 0.9771, predictive_accuracy: 0.9771, prior_entropy: 0.9495, recall: 0.9771, relative_absolute_error: 0.0493, root_mean_prior_squared_error: 0.4818, root_mean_squared_error: 0.1513, root_relative_squared_error: 0.3141, scimark_benchmark: 1461.2356,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8958, f_measure: 0.9214, kappa: 0.828, kb_relative_information_score: 108.6292, mean_absolute_error: 0.0763, mean_prior_absolute_error: 0.4648, number_of_instances: 131, precision: 0.9319, predictive_accuracy: 0.9237, prior_entropy: 0.9495, recall: 0.9237, relative_absolute_error: 0.1642, root_mean_prior_squared_error: 0.4818, root_mean_squared_error: 0.2763, root_relative_squared_error: 0.5734, scimark_benchmark: 1959.6455,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.4915, kb_relative_information_score: 24.4391, mean_absolute_error: 0.3664, mean_prior_absolute_error: 0.4648, number_of_instances: 131, precision: 0.4014, predictive_accuracy: 0.6336, prior_entropy: 0.9495, recall: 0.6336, relative_absolute_error: 0.7882, root_mean_prior_squared_error: 0.4818, root_mean_squared_error: 0.6053, root_relative_squared_error: 1.2563, scimark_benchmark: 1959.6455, usercpu_time_millis: 15.625, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.999, f_measure: 0.9771, kappa: 0.9509, kb_relative_information_score: 125.1422, mean_absolute_error: 0.019, mean_prior_absolute_error: 0.4648, number_of_instances: 131, precision: 0.9773, predictive_accuracy: 0.9771, prior_entropy: 0.9495, recall: 0.9771, relative_absolute_error: 0.0408, root_mean_prior_squared_error: 0.4818, root_mean_squared_error: 0.1141, root_relative_squared_error: 0.2368, scimark_benchmark: 1661.3487, usercpu_time_millis: 390, usercpu_time_millis_training: 390,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.4915, kb_relative_information_score: 24.4391, mean_absolute_error: 0.3664, mean_prior_absolute_error: 0.4648, number_of_instances: 131, precision: 0.4014, predictive_accuracy: 0.6336, prior_entropy: 0.9495, recall: 0.6336, relative_absolute_error: 0.7882, root_mean_prior_squared_error: 0.4818, root_mean_squared_error: 0.6053, root_relative_squared_error: 1.2563, scimark_benchmark: 1385.149, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8958, f_measure: 0.9214, kappa: 0.828, kb_relative_information_score: 108.6292, mean_absolute_error: 0.0763, mean_prior_absolute_error: 0.4648, number_of_instances: 131, precision: 0.9319, predictive_accuracy: 0.9237, prior_entropy: 0.9495, recall: 0.9237, relative_absolute_error: 0.1642, root_mean_prior_squared_error: 0.4818, root_mean_squared_error: 0.2763, root_relative_squared_error: 0.5734, scimark_benchmark: 1305.5097, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9836, f_measure: 0.9847, kappa: 0.9671, kb_relative_information_score: 126.3534, mean_absolute_error: 0.0153, mean_prior_absolute_error: 0.4648, number_of_instances: 131, precision: 0.9847, predictive_accuracy: 0.9847, prior_entropy: 0.9495, recall: 0.9847, relative_absolute_error: 0.0328, root_mean_prior_squared_error: 0.4818, root_mean_squared_error: 0.1236, root_relative_squared_error: 0.2564, scimark_benchmark: 1593.4146, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9731, f_measure: 0.977, kappa: 0.9505, kb_relative_information_score: 124.1379, mean_absolute_error: 0.0229, mean_prior_absolute_error: 0.4648, number_of_instances: 131, precision: 0.9771, predictive_accuracy: 0.9771, prior_entropy: 0.9495, recall: 0.9771, relative_absolute_error: 0.0493, root_mean_prior_squared_error: 0.4818, root_mean_squared_error: 0.1513, root_relative_squared_error: 0.3141, scimark_benchmark: 1558.279, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9847, kappa: 0.9671, kb_relative_information_score: 125.5104, mean_absolute_error: 0.0196, mean_prior_absolute_error: 0.4648, number_of_instances: 131, precision: 0.9847, predictive_accuracy: 0.9847, prior_entropy: 0.9495, recall: 0.9847, relative_absolute_error: 0.0421, root_mean_prior_squared_error: 0.4818, root_mean_squared_error: 0.09, root_relative_squared_error: 0.1867, scimark_benchmark: 1908.2191, usercpu_time_millis: 203.125, usercpu_time_millis_training: 203.125,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9995, f_measure: 0.9771, kappa: 0.9509, kb_relative_information_score: 125.2731, mean_absolute_error: 0.0197, mean_prior_absolute_error: 0.4648, number_of_instances: 131, precision: 0.9773, predictive_accuracy: 0.9771, prior_entropy: 0.9495, recall: 0.9771, relative_absolute_error: 0.0423, root_mean_prior_squared_error: 0.4818, root_mean_squared_error: 0.0945, root_relative_squared_error: 0.1961, scimark_benchmark: 1650.543, usercpu_time_millis: 70, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9924, kappa: 0.9836, kb_relative_information_score: 122.4675, mean_absolute_error: 0.0335, mean_prior_absolute_error: 0.4648, number_of_instances: 131, precision: 0.9925, predictive_accuracy: 0.9924, prior_entropy: 0.9495, recall: 0.9924, relative_absolute_error: 0.0721, root_mean_prior_squared_error: 0.4818, root_mean_squared_error: 0.1008, root_relative_squared_error: 0.2093, scimark_benchmark: 1060.9535, usercpu_time_millis: 15.625, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable).
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9992, f_measure: 0.9693, kappa: 0.9337, kb_relative_information_score: 119.9923, mean_absolute_error: 0.0398, mean_prior_absolute_error: 0.4648, number_of_instances: 131, precision: 0.9697, predictive_accuracy: 0.9695, prior_entropy: 0.9495, recall: 0.9695, relative_absolute_error: 0.0856, root_mean_prior_squared_error: 0.4818, root_mean_squared_error: 0.1366, root_relative_squared_error: 0.2834, scimark_benchmark: 1348.8077,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9995, f_measure: 0.9771, kappa: 0.9509, kb_relative_information_score: 124.7309, mean_absolute_error: 0.0221, mean_prior_absolute_error: 0.4648, number_of_instances: 131, precision: 0.9773, predictive_accuracy: 0.9771, prior_entropy: 0.9495, recall: 0.9771, relative_absolute_error: 0.0475, root_mean_prior_squared_error: 0.4818, root_mean_squared_error: 0.0966, root_relative_squared_error: 0.2004, scimark_benchmark: 1205.2778, usercpu_time_millis: 60, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9985, f_measure: 0.9695, kappa: 0.9342, kb_relative_information_score: 120.8155, mean_absolute_error: 0.0342, mean_prior_absolute_error: 0.4648, number_of_instances: 131, precision: 0.9695, predictive_accuracy: 0.9695, prior_entropy: 0.9495, recall: 0.9695, relative_absolute_error: 0.0736, root_mean_prior_squared_error: 0.4818, root_mean_squared_error: 0.1796, root_relative_squared_error: 0.3728, scimark_benchmark: 1364.0643, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.988, f_measure: 0.9847, kappa: 0.9671, kb_relative_information_score: 124.7436, mean_absolute_error: 0.0233, mean_prior_absolute_error: 0.4648, number_of_instances: 131, precision: 0.9847, predictive_accuracy: 0.9847, prior_entropy: 0.9495, recall: 0.9847, relative_absolute_error: 0.0502, root_mean_prior_squared_error: 0.4818, root_mean_squared_error: 0.1228, root_relative_squared_error: 0.2549, scimark_benchmark: 1194.1952, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9896, f_measure: 0.9923, kappa: 0.9835, kb_relative_information_score: 128.5689, mean_absolute_error: 0.0076, mean_prior_absolute_error: 0.4648, number_of_instances: 131, precision: 0.9925, predictive_accuracy: 0.9924, prior_entropy: 0.9495, recall: 0.9924, relative_absolute_error: 0.0164, root_mean_prior_squared_error: 0.4818, root_mean_squared_error: 0.0874, root_relative_squared_error: 0.1813, scimark_benchmark: 1186.7333, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9792, f_measure: 0.9847, kappa: 0.9668, kb_relative_information_score: 126.3534, mean_absolute_error: 0.0153, mean_prior_absolute_error: 0.4648, number_of_instances: 131, precision: 0.9851, predictive_accuracy: 0.9847, prior_entropy: 0.9495, recall: 0.9847, relative_absolute_error: 0.0328, root_mean_prior_squared_error: 0.4818, root_mean_squared_error: 0.1236, root_relative_squared_error: 0.2564, scimark_benchmark: 650.7168,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9688, f_measure: 0.9769, kappa: 0.95, kb_relative_information_score: 124.1379, mean_absolute_error: 0.0229, mean_prior_absolute_error: 0.4648, number_of_instances: 131, precision: 0.9779, predictive_accuracy: 0.9771, prior_entropy: 0.9495, recall: 0.9771, relative_absolute_error: 0.0493, root_mean_prior_squared_error: 0.4818, root_mean_squared_error: 0.1513, root_relative_squared_error: 0.3141, 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: 0.994, f_measure: 0.9924, kappa: 0.9836, kb_relative_information_score: 128.5689, mean_absolute_error: 0.0076, mean_prior_absolute_error: 0.4648, number_of_instances: 131, precision: 0.9925, predictive_accuracy: 0.9924, prior_entropy: 0.9495, recall: 0.9924, relative_absolute_error: 0.0164, root_mean_prior_squared_error: 0.4818, root_mean_squared_error: 0.0874, root_relative_squared_error: 0.1813, scimark_benchmark: 1618.1738,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9882, f_measure: 0.9847, kappa: 0.9671, kb_relative_information_score: 126.039, mean_absolute_error: 0.0168, mean_prior_absolute_error: 0.4648, number_of_instances: 131, precision: 0.9847, predictive_accuracy: 0.9847, prior_entropy: 0.9495, recall: 0.9847, relative_absolute_error: 0.0362, root_mean_prior_squared_error: 0.4818, root_mean_squared_error: 0.1223, root_relative_squared_error: 0.2539, scimark_benchmark: 1925.3565,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9995, f_measure: 0.9847, kappa: 0.9671, kb_relative_information_score: 125.6682, mean_absolute_error: 0.0185, mean_prior_absolute_error: 0.4648, number_of_instances: 131, precision: 0.9847, predictive_accuracy: 0.9847, prior_entropy: 0.9495, recall: 0.9847, relative_absolute_error: 0.0397, root_mean_prior_squared_error: 0.4818, root_mean_squared_error: 0.0973, root_relative_squared_error: 0.2019, 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: 0.9977, f_measure: 0.9693, kappa: 0.9337, kb_relative_information_score: 118.7994, mean_absolute_error: 0.0443, mean_prior_absolute_error: 0.4648, number_of_instances: 131, precision: 0.9697, predictive_accuracy: 0.9695, prior_entropy: 0.9495, recall: 0.9695, relative_absolute_error: 0.0953, root_mean_prior_squared_error: 0.4818, root_mean_squared_error: 0.1454, root_relative_squared_error: 0.3018, scimark_benchmark: 1925.3565,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.994, f_measure: 0.9924, kappa: 0.9836, kb_relative_information_score: 128.5689, mean_absolute_error: 0.0076, mean_prior_absolute_error: 0.4648, number_of_instances: 131, precision: 0.9925, predictive_accuracy: 0.9924, prior_entropy: 0.9495, recall: 0.9924, relative_absolute_error: 0.0164, root_mean_prior_squared_error: 0.4818, root_mean_squared_error: 0.0874, root_relative_squared_error: 0.1813, scimark_benchmark: 1925.3565,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9992, f_measure: 0.9693, kappa: 0.9337, kb_relative_information_score: 119.9923, mean_absolute_error: 0.0398, mean_prior_absolute_error: 0.4648, number_of_instances: 131, precision: 0.9697, predictive_accuracy: 0.9695, prior_entropy: 0.9495, recall: 0.9695, relative_absolute_error: 0.0856, root_mean_prior_squared_error: 0.4818, root_mean_squared_error: 0.1366, root_relative_squared_error: 0.2834, scimark_benchmark: 1925.3565,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9688, f_measure: 0.9769, kappa: 0.95, kb_relative_information_score: 124.1379, mean_absolute_error: 0.0229, mean_prior_absolute_error: 0.4648, number_of_instances: 131, precision: 0.9779, predictive_accuracy: 0.9771, prior_entropy: 0.9495, recall: 0.9771, relative_absolute_error: 0.0493, root_mean_prior_squared_error: 0.4818, root_mean_squared_error: 0.1513, root_relative_squared_error: 0.3141, scimark_benchmark: 1925.3565,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.994, f_measure: 0.9924, kappa: 0.9836, kb_relative_information_score: 128.5689, mean_absolute_error: 0.0076, mean_prior_absolute_error: 0.4648, number_of_instances: 131, precision: 0.9925, predictive_accuracy: 0.9924, prior_entropy: 0.9495, recall: 0.9924, relative_absolute_error: 0.0164, root_mean_prior_squared_error: 0.4818, root_mean_squared_error: 0.0874, root_relative_squared_error: 0.1813, 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: 0.9771, kappa: 0.9509, kb_relative_information_score: 124.7309, mean_absolute_error: 0.0221, mean_prior_absolute_error: 0.4648, number_of_instances: 131, precision: 0.9773, predictive_accuracy: 0.9771, prior_entropy: 0.9495, recall: 0.9771, relative_absolute_error: 0.0475, root_mean_prior_squared_error: 0.4818, root_mean_squared_error: 0.0966, root_relative_squared_error: 0.2004, scimark_benchmark: 1925.3565, usercpu_time_millis: 31.25, usercpu_time_millis_training: 31.25,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9985, f_measure: 0.9695, kappa: 0.9342, kb_relative_information_score: 120.8155, mean_absolute_error: 0.0342, mean_prior_absolute_error: 0.4648, number_of_instances: 131, precision: 0.9695, predictive_accuracy: 0.9695, prior_entropy: 0.9495, recall: 0.9695, relative_absolute_error: 0.0736, root_mean_prior_squared_error: 0.4818, root_mean_squared_error: 0.1796, root_relative_squared_error: 0.3728, 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: 0.988, f_measure: 0.9847, kappa: 0.9671, kb_relative_information_score: 124.7436, mean_absolute_error: 0.0233, mean_prior_absolute_error: 0.4648, number_of_instances: 131, precision: 0.9847, predictive_accuracy: 0.9847, prior_entropy: 0.9495, recall: 0.9847, relative_absolute_error: 0.0502, root_mean_prior_squared_error: 0.4818, root_mean_squared_error: 0.1228, root_relative_squared_error: 0.2549, scimark_benchmark: 1925.3565,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9896, f_measure: 0.9923, kappa: 0.9835, kb_relative_information_score: 128.5689, mean_absolute_error: 0.0076, mean_prior_absolute_error: 0.4648, number_of_instances: 131, precision: 0.9925, predictive_accuracy: 0.9924, prior_entropy: 0.9495, recall: 0.9924, relative_absolute_error: 0.0164, root_mean_prior_squared_error: 0.4818, root_mean_squared_error: 0.0874, root_relative_squared_error: 0.1813, scimark_benchmark: 1892.0925,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9792, f_measure: 0.9847, kappa: 0.9668, kb_relative_information_score: 126.3534, mean_absolute_error: 0.0153, mean_prior_absolute_error: 0.4648, number_of_instances: 131, precision: 0.9851, predictive_accuracy: 0.9847, prior_entropy: 0.9495, recall: 0.9847, relative_absolute_error: 0.0328, root_mean_prior_squared_error: 0.4818, root_mean_squared_error: 0.1236, root_relative_squared_error: 0.2564, scimark_benchmark: 1892.0925,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9882, f_measure: 0.9847, kappa: 0.9671, kb_relative_information_score: 126.039, mean_absolute_error: 0.0168, mean_prior_absolute_error: 0.4648, number_of_instances: 131, precision: 0.9847, predictive_accuracy: 0.9847, prior_entropy: 0.9495, recall: 0.9847, relative_absolute_error: 0.0362, root_mean_prior_squared_error: 0.4818, root_mean_squared_error: 0.1223, root_relative_squared_error: 0.2539, scimark_benchmark: 1892.0925, 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: 0.9847, kappa: 0.9671, kb_relative_information_score: 125.6682, mean_absolute_error: 0.0185, mean_prior_absolute_error: 0.4648, number_of_instances: 131, precision: 0.9847, predictive_accuracy: 0.9847, prior_entropy: 0.9495, recall: 0.9847, relative_absolute_error: 0.0397, root_mean_prior_squared_error: 0.4818, root_mean_squared_error: 0.0973, root_relative_squared_error: 0.2019, scimark_benchmark: 1892.0925, usercpu_time_millis: 15.625, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9977, f_measure: 0.9693, kappa: 0.9337, kb_relative_information_score: 118.7994, mean_absolute_error: 0.0443, mean_prior_absolute_error: 0.4648, number_of_instances: 131, precision: 0.9697, predictive_accuracy: 0.9695, prior_entropy: 0.9495, recall: 0.9695, relative_absolute_error: 0.0953, root_mean_prior_squared_error: 0.4818, root_mean_squared_error: 0.1454, root_relative_squared_error: 0.3018, scimark_benchmark: 1892.0925,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.994, f_measure: 0.9924, kappa: 0.9836, kb_relative_information_score: 128.5689, mean_absolute_error: 0.0076, mean_prior_absolute_error: 0.4648, number_of_instances: 131, precision: 0.9925, predictive_accuracy: 0.9924, prior_entropy: 0.9495, recall: 0.9924, relative_absolute_error: 0.0164, root_mean_prior_squared_error: 0.4818, root_mean_squared_error: 0.0874, root_relative_squared_error: 0.1813, scimark_benchmark: 1892.0925,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9985, f_measure: 0.9695, kappa: 0.9342, kb_relative_information_score: 120.8155, mean_absolute_error: 0.0342, mean_prior_absolute_error: 0.4648, number_of_instances: 131, precision: 0.9695, predictive_accuracy: 0.9695, prior_entropy: 0.9495, recall: 0.9695, relative_absolute_error: 0.0736, root_mean_prior_squared_error: 0.4818, root_mean_squared_error: 0.1796, root_relative_squared_error: 0.3728, 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: 0.9792, f_measure: 0.9847, kappa: 0.9668, kb_relative_information_score: 126.3534, mean_absolute_error: 0.0153, mean_prior_absolute_error: 0.4648, number_of_instances: 131, precision: 0.9851, predictive_accuracy: 0.9847, prior_entropy: 0.9495, recall: 0.9847, relative_absolute_error: 0.0328, root_mean_prior_squared_error: 0.4818, root_mean_squared_error: 0.1236, root_relative_squared_error: 0.2564, scimark_benchmark: 1834.908,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9995, f_measure: 0.9771, kappa: 0.9509, kb_relative_information_score: 124.7309, mean_absolute_error: 0.0221, mean_prior_absolute_error: 0.4648, number_of_instances: 131, precision: 0.9773, predictive_accuracy: 0.9771, prior_entropy: 0.9495, recall: 0.9771, relative_absolute_error: 0.0475, root_mean_prior_squared_error: 0.4818, root_mean_squared_error: 0.0966, root_relative_squared_error: 0.2004, 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: 0.9896, f_measure: 0.9923, kappa: 0.9835, kb_relative_information_score: 128.5689, mean_absolute_error: 0.0076, mean_prior_absolute_error: 0.4648, number_of_instances: 131, precision: 0.9925, predictive_accuracy: 0.9924, prior_entropy: 0.9495, recall: 0.9924, relative_absolute_error: 0.0164, root_mean_prior_squared_error: 0.4818, root_mean_squared_error: 0.0874, root_relative_squared_error: 0.1813, scimark_benchmark: 1834.908,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9896, f_measure: 0.9923, kappa: 0.9835, kb_relative_information_score: 128.5689, mean_absolute_error: 0.0076, mean_prior_absolute_error: 0.4648, number_of_instances: 131, precision: 0.9925, predictive_accuracy: 0.9924, prior_entropy: 0.9495, recall: 0.9924, relative_absolute_error: 0.0164, root_mean_prior_squared_error: 0.4818, root_mean_squared_error: 0.0874, root_relative_squared_error: 0.1813, scimark_benchmark: 1788.6668,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9896, f_measure: 0.9923, kappa: 0.9835, kb_relative_information_score: 128.5689, mean_absolute_error: 0.0076, mean_prior_absolute_error: 0.4648, number_of_instances: 131, precision: 0.9925, predictive_accuracy: 0.9924, prior_entropy: 0.9495, recall: 0.9924, relative_absolute_error: 0.0164, root_mean_prior_squared_error: 0.4818, root_mean_squared_error: 0.0874, root_relative_squared_error: 0.1813, scimark_benchmark: 1788.6668,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9792, f_measure: 0.9847, kappa: 0.9668, kb_relative_information_score: 126.3534, mean_absolute_error: 0.0153, mean_prior_absolute_error: 0.4648, number_of_instances: 131, precision: 0.9851, predictive_accuracy: 0.9847, prior_entropy: 0.9495, recall: 0.9847, relative_absolute_error: 0.0328, root_mean_prior_squared_error: 0.4818, root_mean_squared_error: 0.1236, root_relative_squared_error: 0.2564, scimark_benchmark: 1788.6668,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9995, f_measure: 0.9771, kappa: 0.9509, kb_relative_information_score: 124.7309, mean_absolute_error: 0.0221, mean_prior_absolute_error: 0.4648, number_of_instances: 131, precision: 0.9773, predictive_accuracy: 0.9771, prior_entropy: 0.9495, recall: 0.9771, relative_absolute_error: 0.0475, root_mean_prior_squared_error: 0.4818, root_mean_squared_error: 0.0966, root_relative_squared_error: 0.2004, 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: 0.9985, f_measure: 0.9695, kappa: 0.9342, kb_relative_information_score: 120.8155, mean_absolute_error: 0.0342, mean_prior_absolute_error: 0.4648, number_of_instances: 131, precision: 0.9695, predictive_accuracy: 0.9695, prior_entropy: 0.9495, recall: 0.9695, relative_absolute_error: 0.0736, root_mean_prior_squared_error: 0.4818, root_mean_squared_error: 0.1796, root_relative_squared_error: 0.3728, 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: 0.9688, f_measure: 0.9769, kappa: 0.95, kb_relative_information_score: 124.1379, mean_absolute_error: 0.0229, mean_prior_absolute_error: 0.4648, number_of_instances: 131, precision: 0.9779, predictive_accuracy: 0.9771, prior_entropy: 0.9495, recall: 0.9771, relative_absolute_error: 0.0493, root_mean_prior_squared_error: 0.4818, root_mean_squared_error: 0.1513, root_relative_squared_error: 0.3141, scimark_benchmark: 1788.6668,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9688, f_measure: 0.9769, kappa: 0.95, kb_relative_information_score: 124.1379, mean_absolute_error: 0.0229, mean_prior_absolute_error: 0.4648, number_of_instances: 131, precision: 0.9779, predictive_accuracy: 0.9771, prior_entropy: 0.9495, recall: 0.9771, relative_absolute_error: 0.0493, root_mean_prior_squared_error: 0.4818, root_mean_squared_error: 0.1513, root_relative_squared_error: 0.3141, scimark_benchmark: 1553.6028, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9847, kappa: 0.9668, kb_relative_information_score: 121.6184, mean_absolute_error: 0.0359, mean_prior_absolute_error: 0.4648, number_of_instances: 131, precision: 0.9851, predictive_accuracy: 0.9847, prior_entropy: 0.9495, recall: 0.9847, relative_absolute_error: 0.0772, root_mean_prior_squared_error: 0.4818, root_mean_squared_error: 0.1147, root_relative_squared_error: 0.238, scimark_benchmark: 1447.2612,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9989, f_measure: 0.9769, kappa: 0.95, kb_relative_information_score: 123.3374, mean_absolute_error: 0.0269, mean_prior_absolute_error: 0.4648, number_of_instances: 131, precision: 0.9779, predictive_accuracy: 0.9771, prior_entropy: 0.9495, recall: 0.9771, relative_absolute_error: 0.0579, root_mean_prior_squared_error: 0.4818, root_mean_squared_error: 0.1071, root_relative_squared_error: 0.2222, scimark_benchmark: 1840.6094,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9989, f_measure: 0.9769, kappa: 0.95, kb_relative_information_score: 123.3374, mean_absolute_error: 0.0269, mean_prior_absolute_error: 0.4648, number_of_instances: 131, precision: 0.9779, predictive_accuracy: 0.9771, prior_entropy: 0.9495, recall: 0.9771, relative_absolute_error: 0.0579, root_mean_prior_squared_error: 0.4818, root_mean_squared_error: 0.1071, root_relative_squared_error: 0.2222, scimark_benchmark: 1840.6094,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9847, kappa: 0.9668, kb_relative_information_score: 121.6184, mean_absolute_error: 0.0359, mean_prior_absolute_error: 0.4648, number_of_instances: 131, precision: 0.9851, predictive_accuracy: 0.9847, prior_entropy: 0.9495, recall: 0.9847, relative_absolute_error: 0.0772, root_mean_prior_squared_error: 0.4818, root_mean_squared_error: 0.1147, root_relative_squared_error: 0.238, scimark_benchmark: 1873.1108,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9992, f_measure: 0.977, kappa: 0.9505, kb_relative_information_score: 122.6079, mean_absolute_error: 0.0306, mean_prior_absolute_error: 0.4648, number_of_instances: 131, precision: 0.9771, predictive_accuracy: 0.9771, prior_entropy: 0.9495, recall: 0.9771, relative_absolute_error: 0.0658, root_mean_prior_squared_error: 0.4818, root_mean_squared_error: 0.112, root_relative_squared_error: 0.2324, scimark_benchmark: 1873.1108,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9992, f_measure: 0.977, kappa: 0.9505, kb_relative_information_score: 122.6079, mean_absolute_error: 0.0306, mean_prior_absolute_error: 0.4648, number_of_instances: 131, precision: 0.9771, predictive_accuracy: 0.9771, prior_entropy: 0.9495, recall: 0.9771, relative_absolute_error: 0.0658, root_mean_prior_squared_error: 0.4818, root_mean_squared_error: 0.112, root_relative_squared_error: 0.2324, scimark_benchmark: 1873.1108,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.988, f_measure: 0.9848, kappa: 0.9674, kb_relative_information_score: 126.3534, mean_absolute_error: 0.0153, mean_prior_absolute_error: 0.4648, number_of_instances: 131, precision: 0.9853, predictive_accuracy: 0.9847, prior_entropy: 0.9495, recall: 0.9847, relative_absolute_error: 0.0328, root_mean_prior_squared_error: 0.4818, root_mean_squared_error: 0.1236, root_relative_squared_error: 0.2564, usercpu_time_millis: 0.015, usercpu_time_millis_testing: 0.001, usercpu_time_millis_training: 0.014,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.988, f_measure: 0.9848, kappa: 0.9674, kb_relative_information_score: 126.3534, mean_absolute_error: 0.0153, mean_prior_absolute_error: 0.4648, number_of_instances: 131, precision: 0.9853, predictive_accuracy: 0.9847, prior_entropy: 0.9495, recall: 0.9847, relative_absolute_error: 0.0328, root_mean_prior_squared_error: 0.4818, root_mean_squared_error: 0.1236, root_relative_squared_error: 0.2564, usercpu_time_millis: 0.025, usercpu_time_millis_testing: 0.003, usercpu_time_millis_training: 0.022,

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

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From your own software

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

OpenML APIs