Task
Supervised Classification on Bioresponse

Supervised Classification on Bioresponse

Task 9910 Supervised Classification Bioresponse 17585 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8239, f_measure: 0.7594, kappa: 0.5146, kb_relative_information_score: 1101.8227, mean_absolute_error: 0.3702, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7626, predictive_accuracy: 0.7614, prior_entropy: 0.9948, recall: 0.7614, relative_absolute_error: 0.7457, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4148, root_relative_squared_error: 0.8326, scimark_benchmark: 1846.9558, usercpu_time_millis: 150.585, usercpu_time_millis_testing: 0.832, usercpu_time_millis_training: 149.753,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8416, f_measure: 0.7712, kappa: 0.5384, kb_relative_information_score: 1138.8224, mean_absolute_error: 0.3644, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7715, predictive_accuracy: 0.7718, prior_entropy: 0.9948, recall: 0.7718, relative_absolute_error: 0.734, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4084, root_relative_squared_error: 0.8197, scimark_benchmark: 1819.8765, usercpu_time_millis: 127.913, usercpu_time_millis_testing: 1.871, usercpu_time_millis_training: 126.042,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8294, f_measure: 0.7446, kappa: 0.4847, kb_relative_information_score: 722.2309, mean_absolute_error: 0.4183, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7453, predictive_accuracy: 0.7457, prior_entropy: 0.9948, recall: 0.7457, relative_absolute_error: 0.8426, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4351, root_relative_squared_error: 0.8734, scimark_benchmark: 1792.2093, usercpu_time_millis: 14.874, usercpu_time_millis_testing: 1.472, usercpu_time_millis_training: 13.402,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.876, f_measure: 0.806, kappa: 0.6086, kb_relative_information_score: 1655.2693, mean_absolute_error: 0.2939, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8063, predictive_accuracy: 0.8065, prior_entropy: 0.9948, recall: 0.8065, relative_absolute_error: 0.5919, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3761, root_relative_squared_error: 0.7548, scimark_benchmark: 1853.9121, usercpu_time_millis: 7162.477, usercpu_time_millis_testing: 3.56, usercpu_time_millis_training: 7158.917,
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable). Evaluation Engine Exception: Run description file not present.
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8784, f_measure: 0.8085, kappa: 0.6138, kb_relative_information_score: 1676.0142, mean_absolute_error: 0.2909, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8087, predictive_accuracy: 0.8089, prior_entropy: 0.9948, recall: 0.8089, relative_absolute_error: 0.5859, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3742, root_relative_squared_error: 0.7512, scimark_benchmark: 1849.0232, usercpu_time_millis: 3738.854, usercpu_time_millis_testing: 3.372, usercpu_time_millis_training: 3735.482,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8321, f_measure: 0.7564, kappa: 0.5084, kb_relative_information_score: 1296.4343, mean_absolute_error: 0.3416, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7584, predictive_accuracy: 0.7579, prior_entropy: 0.9948, recall: 0.7579, relative_absolute_error: 0.6882, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4077, root_relative_squared_error: 0.8183, scimark_benchmark: 1762.722, usercpu_time_millis: 3396.375, usercpu_time_millis_testing: 2.205, usercpu_time_millis_training: 3394.17,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8623, f_measure: 0.7964, kappa: 0.5893, kb_relative_information_score: 1517.0563, mean_absolute_error: 0.3129, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7967, predictive_accuracy: 0.7969, prior_entropy: 0.9948, recall: 0.7969, relative_absolute_error: 0.6303, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3866, root_relative_squared_error: 0.7761, scimark_benchmark: 1845.0549, usercpu_time_millis: 2203.194, usercpu_time_millis_testing: 1.787, usercpu_time_millis_training: 2201.407,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8742, f_measure: 0.8037, kappa: 0.604, kb_relative_information_score: 1599.6266, mean_absolute_error: 0.3017, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8039, predictive_accuracy: 0.8041, prior_entropy: 0.9948, recall: 0.8041, relative_absolute_error: 0.6078, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3784, root_relative_squared_error: 0.7596, scimark_benchmark: 1737.4645, usercpu_time_millis: 2123.18, usercpu_time_millis_testing: 2.506, usercpu_time_millis_training: 2120.674,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8675, f_measure: 0.7972, kappa: 0.5908, kb_relative_information_score: 1547.3578, mean_absolute_error: 0.3091, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7975, predictive_accuracy: 0.7977, prior_entropy: 0.9948, recall: 0.7977, relative_absolute_error: 0.6227, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3831, root_relative_squared_error: 0.7689, scimark_benchmark: 1734.798, usercpu_time_millis: 1523.361, usercpu_time_millis_testing: 1.825, usercpu_time_millis_training: 1521.536,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8498, f_measure: 0.7835, kappa: 0.5632, kb_relative_information_score: 1337.3815, mean_absolute_error: 0.3375, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7843, predictive_accuracy: 0.7843, prior_entropy: 0.9948, recall: 0.7843, relative_absolute_error: 0.6798, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3976, root_relative_squared_error: 0.798, scimark_benchmark: 1694.7056, usercpu_time_millis: 1341.702, usercpu_time_millis_testing: 2.683, usercpu_time_millis_training: 1339.019,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.858, f_measure: 0.7879, kappa: 0.5722, kb_relative_information_score: 1457.2242, mean_absolute_error: 0.3208, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7881, predictive_accuracy: 0.7883, prior_entropy: 0.9948, recall: 0.7883, relative_absolute_error: 0.6462, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3906, root_relative_squared_error: 0.784, scimark_benchmark: 1845.3208, usercpu_time_millis: 706.811, usercpu_time_millis_testing: 0.991, usercpu_time_millis_training: 705.82,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.856, f_measure: 0.7886, kappa: 0.5736, kb_relative_information_score: 1354.1193, mean_absolute_error: 0.3356, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7889, predictive_accuracy: 0.7891, prior_entropy: 0.9948, recall: 0.7891, relative_absolute_error: 0.6761, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3945, root_relative_squared_error: 0.7917, scimark_benchmark: 1807.8102, usercpu_time_millis: 690.042, usercpu_time_millis_testing: 2.7, usercpu_time_millis_training: 687.342,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.879, f_measure: 0.8103, kappa: 0.6174, kb_relative_information_score: 1635.6778, mean_absolute_error: 0.2971, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8106, predictive_accuracy: 0.8107, prior_entropy: 0.9948, recall: 0.8107, relative_absolute_error: 0.5984, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3746, root_relative_squared_error: 0.7519, scimark_benchmark: 1853.5818, usercpu_time_millis: 629.701, usercpu_time_millis_testing: 1.677, usercpu_time_millis_training: 628.024,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8439, f_measure: 0.7811, kappa: 0.5583, kb_relative_information_score: 1325.1397, mean_absolute_error: 0.3387, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7819, predictive_accuracy: 0.7819, prior_entropy: 0.9948, recall: 0.7819, relative_absolute_error: 0.6822, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4007, root_relative_squared_error: 0.8042, scimark_benchmark: 1732.9697, usercpu_time_millis: 561.518, usercpu_time_millis_testing: 1.476, usercpu_time_millis_training: 560.042,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8652, f_measure: 0.7951, kappa: 0.5868, kb_relative_information_score: 1511.7397, mean_absolute_error: 0.3137, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7953, predictive_accuracy: 0.7955, prior_entropy: 0.9948, recall: 0.7955, relative_absolute_error: 0.6319, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3855, root_relative_squared_error: 0.7737, scimark_benchmark: 1755.0428, usercpu_time_millis: 435.304, usercpu_time_millis_testing: 1.073, usercpu_time_millis_training: 434.231,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8287, f_measure: 0.7662, kappa: 0.5283, kb_relative_information_score: 1217.4653, mean_absolute_error: 0.3527, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7664, predictive_accuracy: 0.7667, prior_entropy: 0.9948, recall: 0.7667, relative_absolute_error: 0.7105, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4101, root_relative_squared_error: 0.8232, scimark_benchmark: 1854.4951, usercpu_time_millis: 263.775, usercpu_time_millis_testing: 1.366, usercpu_time_millis_training: 262.409,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8269, f_measure: 0.7607, kappa: 0.5173, kb_relative_information_score: 1252.9035, mean_absolute_error: 0.3486, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.764, predictive_accuracy: 0.7627, prior_entropy: 0.9948, recall: 0.7627, relative_absolute_error: 0.7021, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4097, root_relative_squared_error: 0.8223, scimark_benchmark: 1853.454, usercpu_time_millis: 244.405, usercpu_time_millis_testing: 0.778, usercpu_time_millis_training: 243.627,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8534, f_measure: 0.7842, kappa: 0.5647, kb_relative_information_score: 1429.0715, mean_absolute_error: 0.3246, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7847, predictive_accuracy: 0.7849, prior_entropy: 0.9948, recall: 0.7849, relative_absolute_error: 0.6538, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3936, root_relative_squared_error: 0.79, scimark_benchmark: 1735.1328, usercpu_time_millis: 234.642, usercpu_time_millis_testing: 0.842, usercpu_time_millis_training: 233.8,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7941, f_measure: 0.7372, kappa: 0.4719, kb_relative_information_score: 904.9979, mean_absolute_error: 0.396, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7383, predictive_accuracy: 0.7369, prior_entropy: 0.9948, recall: 0.7369, relative_absolute_error: 0.7978, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4351, root_relative_squared_error: 0.8734, scimark_benchmark: 1844.9447, usercpu_time_millis: 237.722, usercpu_time_millis_testing: 1.454, usercpu_time_millis_training: 236.268,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8005, f_measure: 0.7373, kappa: 0.4711, kb_relative_information_score: 829.783, mean_absolute_error: 0.4056, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7375, predictive_accuracy: 0.7371, prior_entropy: 0.9948, recall: 0.7371, relative_absolute_error: 0.817, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4334, root_relative_squared_error: 0.8699, scimark_benchmark: 1808.8438, usercpu_time_millis: 216.461, usercpu_time_millis_testing: 1.724, usercpu_time_millis_training: 214.737,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8716, f_measure: 0.8016, kappa: 0.6, kb_relative_information_score: 1348.4561, mean_absolute_error: 0.3375, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8017, predictive_accuracy: 0.8019, prior_entropy: 0.9948, recall: 0.8019, relative_absolute_error: 0.6799, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3889, root_relative_squared_error: 0.7806, scimark_benchmark: 1816.1594, usercpu_time_millis: 126.071, usercpu_time_millis_testing: 1.908, usercpu_time_millis_training: 124.163,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8028, f_measure: 0.7366, kappa: 0.4702, kb_relative_information_score: 861.1353, mean_absolute_error: 0.4016, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7372, predictive_accuracy: 0.7363, prior_entropy: 0.9948, recall: 0.7363, relative_absolute_error: 0.809, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4323, root_relative_squared_error: 0.8677, scimark_benchmark: 1738.1764, usercpu_time_millis: 102.682, usercpu_time_millis_testing: 1.209, usercpu_time_millis_training: 101.473,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8289, f_measure: 0.7402, kappa: 0.4757, kb_relative_information_score: 740.4483, mean_absolute_error: 0.416, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7411, predictive_accuracy: 0.7414, prior_entropy: 0.9948, recall: 0.7414, relative_absolute_error: 0.838, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4338, root_relative_squared_error: 0.8707, scimark_benchmark: 1752.3557, usercpu_time_millis: 59.892, usercpu_time_millis_testing: 3.514, usercpu_time_millis_training: 56.378,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8412, f_measure: 0.7596, kappa: 0.5153, kb_relative_information_score: 842.5057, mean_absolute_error: 0.4036, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7597, predictive_accuracy: 0.7601, prior_entropy: 0.9948, recall: 0.7601, relative_absolute_error: 0.813, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4252, root_relative_squared_error: 0.8535, scimark_benchmark: 1737.2739, usercpu_time_millis: 42.507, usercpu_time_millis_testing: 3.267, usercpu_time_millis_training: 39.24,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8567, f_measure: 0.7791, kappa: 0.5544, kb_relative_information_score: 1044.2872, mean_absolute_error: 0.378, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7796, predictive_accuracy: 0.7798, prior_entropy: 0.9948, recall: 0.7798, relative_absolute_error: 0.7615, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4096, root_relative_squared_error: 0.822, scimark_benchmark: 1738.9977, usercpu_time_millis: 44.267, usercpu_time_millis_testing: 2.571, usercpu_time_millis_training: 41.696,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8341, f_measure: 0.7447, kappa: 0.4848, kb_relative_information_score: 813.9933, mean_absolute_error: 0.4068, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7453, predictive_accuracy: 0.7457, prior_entropy: 0.9948, recall: 0.7457, relative_absolute_error: 0.8195, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4281, root_relative_squared_error: 0.8592, scimark_benchmark: 1743.8551, usercpu_time_millis: 39.967, usercpu_time_millis_testing: 2.816, usercpu_time_millis_training: 37.151,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8035, f_measure: 0.7372, kappa: 0.4697, kb_relative_information_score: 716.3886, mean_absolute_error: 0.419, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7382, predictive_accuracy: 0.7385, prior_entropy: 0.9948, recall: 0.7385, relative_absolute_error: 0.8439, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.439, root_relative_squared_error: 0.8811, scimark_benchmark: 1736.0929, usercpu_time_millis: 57.304, usercpu_time_millis_testing: 1.096, usercpu_time_millis_training: 56.208,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8099, f_measure: 0.7169, kappa: 0.4288, kb_relative_information_score: 609.8126, mean_absolute_error: 0.4314, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7195, predictive_accuracy: 0.7193, prior_entropy: 0.9948, recall: 0.7193, relative_absolute_error: 0.869, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4451, root_relative_squared_error: 0.8934, scimark_benchmark: 1768.1742, usercpu_time_millis: 32.867, usercpu_time_millis_testing: 2.496, usercpu_time_millis_training: 30.371,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8679, f_measure: 0.7914, kappa: 0.5793, kb_relative_information_score: 1179.9619, mean_absolute_error: 0.3607, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7915, predictive_accuracy: 0.7918, prior_entropy: 0.9948, recall: 0.7918, relative_absolute_error: 0.7265, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3988, root_relative_squared_error: 0.8005, scimark_benchmark: 1736.1394, usercpu_time_millis: 33.632, usercpu_time_millis_testing: 2.104, usercpu_time_millis_training: 31.528,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8475, f_measure: 0.766, kappa: 0.528, kb_relative_information_score: 893.4997, mean_absolute_error: 0.3974, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7661, predictive_accuracy: 0.7665, prior_entropy: 0.9948, recall: 0.7665, relative_absolute_error: 0.8006, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4208, root_relative_squared_error: 0.8447, scimark_benchmark: 1748.7779, usercpu_time_millis: 35.628, usercpu_time_millis_testing: 2.726, usercpu_time_millis_training: 32.902,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8674, f_measure: 0.7897, kappa: 0.5761, kb_relative_information_score: 1180.3198, mean_absolute_error: 0.3605, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7897, predictive_accuracy: 0.7899, prior_entropy: 0.9948, recall: 0.7899, relative_absolute_error: 0.7262, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.399, root_relative_squared_error: 0.8009, scimark_benchmark: 1747.9092, usercpu_time_millis: 35.213, usercpu_time_millis_testing: 2.411, usercpu_time_millis_training: 32.802,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8002, f_measure: 0.7017, kappa: 0.3993, kb_relative_information_score: 461.4484, mean_absolute_error: 0.4486, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7083, predictive_accuracy: 0.7062, prior_entropy: 0.9948, recall: 0.7062, relative_absolute_error: 0.9037, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4572, root_relative_squared_error: 0.9177, scimark_benchmark: 1761.3794, usercpu_time_millis: 27.816, usercpu_time_millis_testing: 2.609, usercpu_time_millis_training: 25.207,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8123, f_measure: 0.714, kappa: 0.4233, kb_relative_information_score: 540.2057, mean_absolute_error: 0.4398, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7182, predictive_accuracy: 0.7171, prior_entropy: 0.9948, recall: 0.7171, relative_absolute_error: 0.8859, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4503, root_relative_squared_error: 0.9038, scimark_benchmark: 1843.2356, usercpu_time_millis: 31.327, usercpu_time_millis_testing: 2.439, usercpu_time_millis_training: 28.888,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8442, f_measure: 0.7587, kappa: 0.5134, kb_relative_information_score: 836.037, mean_absolute_error: 0.4045, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7586, predictive_accuracy: 0.759, prior_entropy: 0.9948, recall: 0.759, relative_absolute_error: 0.8148, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4255, root_relative_squared_error: 0.854, scimark_benchmark: 1774.1372, usercpu_time_millis: 22.2, usercpu_time_millis_testing: 1.94, usercpu_time_millis_training: 20.26,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8723, f_measure: 0.8023, kappa: 0.6012, kb_relative_information_score: 1563.1817, mean_absolute_error: 0.3071, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8025, predictive_accuracy: 0.8027, prior_entropy: 0.9948, recall: 0.8027, relative_absolute_error: 0.6187, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3802, root_relative_squared_error: 0.7632, scimark_benchmark: 1857.5664, usercpu_time_millis: 1602.948, usercpu_time_millis_testing: 2.833, usercpu_time_millis_training: 1600.115,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8258, f_measure: 0.7628, kappa: 0.5214, kb_relative_information_score: 1208.1963, mean_absolute_error: 0.3552, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7664, predictive_accuracy: 0.7649, prior_entropy: 0.9948, recall: 0.7649, relative_absolute_error: 0.7156, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4112, root_relative_squared_error: 0.8253, scimark_benchmark: 1050.8578, usercpu_time_millis: 1519.689, usercpu_time_millis_testing: 2.854, usercpu_time_millis_training: 1516.835,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8756, f_measure: 0.8053, kappa: 0.6072, kb_relative_information_score: 1658.5264, mean_absolute_error: 0.2932, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8055, predictive_accuracy: 0.8057, prior_entropy: 0.9948, recall: 0.8057, relative_absolute_error: 0.5906, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3763, root_relative_squared_error: 0.7552, scimark_benchmark: 1548.6775, usercpu_time_millis: 1323.551, usercpu_time_millis_testing: 1.431, usercpu_time_millis_training: 1322.12,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8732, f_measure: 0.803, kappa: 0.6027, kb_relative_information_score: 1603.5912, mean_absolute_error: 0.3013, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8034, predictive_accuracy: 0.8035, prior_entropy: 0.9948, recall: 0.8035, relative_absolute_error: 0.607, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3786, root_relative_squared_error: 0.76, scimark_benchmark: 1845.7061, usercpu_time_millis: 1300.015, usercpu_time_millis_testing: 1.715, usercpu_time_millis_training: 1298.3,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8277, f_measure: 0.7575, kappa: 0.5107, kb_relative_information_score: 1263.0302, mean_absolute_error: 0.3469, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.76, predictive_accuracy: 0.7593, prior_entropy: 0.9948, recall: 0.7593, relative_absolute_error: 0.6987, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4109, root_relative_squared_error: 0.8248, scimark_benchmark: 1854.4951, usercpu_time_millis: 1133.9, usercpu_time_millis_testing: 1.66, usercpu_time_millis_training: 1132.24,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8502, f_measure: 0.7837, kappa: 0.5636, kb_relative_information_score: 1415.48, mean_absolute_error: 0.3265, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7842, predictive_accuracy: 0.7843, prior_entropy: 0.9948, recall: 0.7843, relative_absolute_error: 0.6577, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3953, root_relative_squared_error: 0.7935, scimark_benchmark: 1853.9121, usercpu_time_millis: 926.43, usercpu_time_millis_testing: 1.822, usercpu_time_millis_training: 924.608,
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable). Evaluation Engine Exception: Run description file not present.
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8585, f_measure: 0.7863, kappa: 0.5689, kb_relative_information_score: 1481.2516, mean_absolute_error: 0.3177, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7869, predictive_accuracy: 0.787, prior_entropy: 0.9948, recall: 0.787, relative_absolute_error: 0.64, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3895, root_relative_squared_error: 0.7819, scimark_benchmark: 1853.3841, usercpu_time_millis: 424.918, usercpu_time_millis_testing: 1.152, usercpu_time_millis_training: 423.766,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8828, f_measure: 0.811, kappa: 0.6191, kb_relative_information_score: 1584.7686, mean_absolute_error: 0.3048, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.811, predictive_accuracy: 0.8113, prior_entropy: 0.9948, recall: 0.8113, relative_absolute_error: 0.614, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3741, root_relative_squared_error: 0.7508, scimark_benchmark: 1858.1494, usercpu_time_millis: 384.4, usercpu_time_millis_testing: 3.236, usercpu_time_millis_training: 381.164,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8459, f_measure: 0.779, kappa: 0.5542, kb_relative_information_score: 1395.1436, mean_absolute_error: 0.3289, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7792, predictive_accuracy: 0.7795, prior_entropy: 0.9948, recall: 0.7795, relative_absolute_error: 0.6625, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.398, root_relative_squared_error: 0.7988, scimark_benchmark: 1852.0126, usercpu_time_millis: 343.576, usercpu_time_millis_testing: 1.024, usercpu_time_millis_training: 342.552,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.829, f_measure: 0.7609, kappa: 0.5175, kb_relative_information_score: 1158.3613, mean_absolute_error: 0.3623, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.763, predictive_accuracy: 0.7625, prior_entropy: 0.9948, recall: 0.7625, relative_absolute_error: 0.7297, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4116, root_relative_squared_error: 0.8262, scimark_benchmark: 1852.0126, usercpu_time_millis: 240.79, usercpu_time_millis_testing: 1.095, usercpu_time_millis_training: 239.695,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8815, f_measure: 0.8107, kappa: 0.6183, kb_relative_information_score: 1684.0707, mean_absolute_error: 0.2899, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8108, predictive_accuracy: 0.811, prior_entropy: 0.9948, recall: 0.811, relative_absolute_error: 0.5839, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3722, root_relative_squared_error: 0.747, scimark_benchmark: 1853.3841, usercpu_time_millis: 181.455, usercpu_time_millis_testing: 1.281, usercpu_time_millis_training: 180.174,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.827, f_measure: 0.7561, kappa: 0.5079, kb_relative_information_score: 932.6626, mean_absolute_error: 0.3916, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7562, predictive_accuracy: 0.7566, prior_entropy: 0.9948, recall: 0.7566, relative_absolute_error: 0.7889, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4222, root_relative_squared_error: 0.8475, scimark_benchmark: 1854.4951, usercpu_time_millis: 171.102, usercpu_time_millis_testing: 2.389, usercpu_time_millis_training: 168.713,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4993, f_measure: 0.3813, kb_relative_information_score: -0.7034, mean_absolute_error: 0.4965, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.294, predictive_accuracy: 0.5423, prior_entropy: 0.9948, recall: 0.5423, relative_absolute_error: 1.0001, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4982, root_relative_squared_error: 1, scimark_benchmark: 1730.7008, usercpu_time_millis: 4.561, usercpu_time_millis_testing: 0.689, usercpu_time_millis_training: 3.872,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8808, f_measure: 0.8136, kappa: 0.6242, kb_relative_information_score: 1671.7195, mean_absolute_error: 0.2918, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8137, predictive_accuracy: 0.8139, prior_entropy: 0.9948, recall: 0.8139, relative_absolute_error: 0.5878, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3728, root_relative_squared_error: 0.7483, scimark_benchmark: 1847.8629, usercpu_time_millis: 78.493, usercpu_time_millis_testing: 1.018, usercpu_time_millis_training: 77.475,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8355, f_measure: 0.7671, kappa: 0.5299, kb_relative_information_score: 1267.9284, mean_absolute_error: 0.3463, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.768, predictive_accuracy: 0.7681, prior_entropy: 0.9948, recall: 0.7681, relative_absolute_error: 0.6976, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4059, root_relative_squared_error: 0.8147, scimark_benchmark: 1853.3841, usercpu_time_millis: 80.91, usercpu_time_millis_testing: 0.69, usercpu_time_millis_training: 80.22,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8521, f_measure: 0.7824, kappa: 0.5611, kb_relative_information_score: 1129.8269, mean_absolute_error: 0.366, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7824, predictive_accuracy: 0.7827, prior_entropy: 0.9948, recall: 0.7827, relative_absolute_error: 0.7373, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.406, root_relative_squared_error: 0.8149, scimark_benchmark: 1738.9027, usercpu_time_millis: 71.118, usercpu_time_millis_testing: 2.017, usercpu_time_millis_training: 69.101,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8487, f_measure: 0.7723, kappa: 0.5407, kb_relative_information_score: 931.5683, mean_absolute_error: 0.3925, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7725, predictive_accuracy: 0.7729, prior_entropy: 0.9948, recall: 0.7729, relative_absolute_error: 0.7907, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4181, root_relative_squared_error: 0.8393, scimark_benchmark: 1047.8503, usercpu_time_millis: 45.83, usercpu_time_millis_testing: 3.56, usercpu_time_millis_training: 42.27,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7967, f_measure: 0.7441, kappa: 0.4836, kb_relative_information_score: 476.4131, mean_absolute_error: 0.4471, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7458, predictive_accuracy: 0.7457, prior_entropy: 0.9948, recall: 0.7457, relative_absolute_error: 0.9005, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.457, root_relative_squared_error: 0.9173, scimark_benchmark: 1849.3742, usercpu_time_millis: 42.405, usercpu_time_millis_testing: 1.108, usercpu_time_millis_training: 41.297,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8613, f_measure: 0.7923, kappa: 0.5811, kb_relative_information_score: 1381.5738, mean_absolute_error: 0.3321, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7927, predictive_accuracy: 0.7929, prior_entropy: 0.9948, recall: 0.7929, relative_absolute_error: 0.669, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3913, root_relative_squared_error: 0.7855, scimark_benchmark: 1853.454, usercpu_time_millis: 49.335, usercpu_time_millis_testing: 1.016, usercpu_time_millis_training: 48.319,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4995, f_measure: 0.3813, kb_relative_information_score: -0.0228, mean_absolute_error: 0.4964, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.294, predictive_accuracy: 0.5423, prior_entropy: 0.9948, recall: 0.5423, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4982, root_relative_squared_error: 1, scimark_benchmark: 1441.547, usercpu_time_millis: 7.159, usercpu_time_millis_testing: 1.095, usercpu_time_millis_training: 6.064,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4997, f_measure: 0.3813, kb_relative_information_score: 0.1427, mean_absolute_error: 0.4964, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.294, predictive_accuracy: 0.5423, prior_entropy: 0.9948, recall: 0.5423, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4982, root_relative_squared_error: 1, scimark_benchmark: 1858.6076, usercpu_time_millis: 4.462, usercpu_time_millis_testing: 0.693, usercpu_time_millis_training: 3.769,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8762, f_measure: 0.8063, kappa: 0.6094, kb_relative_information_score: 1580.9129, mean_absolute_error: 0.305, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8065, predictive_accuracy: 0.8067, prior_entropy: 0.9948, recall: 0.8067, relative_absolute_error: 0.6143, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3776, root_relative_squared_error: 0.758, scimark_benchmark: 1835.324, usercpu_time_millis: 3645.682, usercpu_time_millis_testing: 5.122, usercpu_time_millis_training: 3640.56,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8717, f_measure: 0.8037, kappa: 0.604, kb_relative_information_score: 1568.4987, mean_absolute_error: 0.3062, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8039, predictive_accuracy: 0.8041, prior_entropy: 0.9948, recall: 0.8041, relative_absolute_error: 0.6169, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3805, root_relative_squared_error: 0.7637, scimark_benchmark: 1109.947, usercpu_time_millis: 3427.503, usercpu_time_millis_testing: 4.592, usercpu_time_millis_training: 3422.911,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8798, f_measure: 0.8095, kappa: 0.6158, kb_relative_information_score: 1637.5771, mean_absolute_error: 0.2971, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8098, predictive_accuracy: 0.8099, prior_entropy: 0.9948, recall: 0.8099, relative_absolute_error: 0.5985, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.374, root_relative_squared_error: 0.7506, scimark_benchmark: 1850.2875, usercpu_time_millis: 1904.072, usercpu_time_millis_testing: 3.199, usercpu_time_millis_training: 1900.873,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8474, f_measure: 0.7835, kappa: 0.5631, kb_relative_information_score: 1317.4932, mean_absolute_error: 0.3401, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7844, predictive_accuracy: 0.7843, prior_entropy: 0.9948, recall: 0.7843, relative_absolute_error: 0.6851, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3992, root_relative_squared_error: 0.8013, scimark_benchmark: 1845.7835, usercpu_time_millis: 1693.93, usercpu_time_millis_testing: 2.675, usercpu_time_millis_training: 1691.255,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8784, f_measure: 0.8077, kappa: 0.6121, kb_relative_information_score: 1631.7531, mean_absolute_error: 0.2976, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8079, predictive_accuracy: 0.8081, prior_entropy: 0.9948, recall: 0.8081, relative_absolute_error: 0.5995, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3751, root_relative_squared_error: 0.7528, scimark_benchmark: 1840.7014, usercpu_time_millis: 1644.549, usercpu_time_millis_testing: 2.417, usercpu_time_millis_training: 1642.132,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.852, f_measure: 0.7846, kappa: 0.5655, kb_relative_information_score: 1411.3621, mean_absolute_error: 0.3273, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7849, predictive_accuracy: 0.7851, prior_entropy: 0.9948, recall: 0.7851, relative_absolute_error: 0.6592, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3945, root_relative_squared_error: 0.7918, scimark_benchmark: 1827.1867, usercpu_time_millis: 1413.887, usercpu_time_millis_testing: 2.433, usercpu_time_millis_training: 1411.454,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8699, f_measure: 0.7966, kappa: 0.5898, kb_relative_information_score: 1603.915, mean_absolute_error: 0.3007, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7969, predictive_accuracy: 0.7971, prior_entropy: 0.9948, recall: 0.7971, relative_absolute_error: 0.6057, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3807, root_relative_squared_error: 0.7642, scimark_benchmark: 1845.7835, usercpu_time_millis: 1395.1, usercpu_time_millis_testing: 1.211, usercpu_time_millis_training: 1393.889,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8743, f_measure: 0.8061, kappa: 0.6089, kb_relative_information_score: 1425.0517, mean_absolute_error: 0.3271, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8063, predictive_accuracy: 0.8065, prior_entropy: 0.9948, recall: 0.8065, relative_absolute_error: 0.6589, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3843, root_relative_squared_error: 0.7714, scimark_benchmark: 1085.1229, usercpu_time_millis: 1381.73, usercpu_time_millis_testing: 10.443, usercpu_time_millis_training: 1371.287,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8461, f_measure: 0.7833, kappa: 0.5629, kb_relative_information_score: 1318.6068, mean_absolute_error: 0.3398, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7839, predictive_accuracy: 0.7841, prior_entropy: 0.9948, recall: 0.7841, relative_absolute_error: 0.6844, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3999, root_relative_squared_error: 0.8027, scimark_benchmark: 1847.5102, usercpu_time_millis: 1180.008, usercpu_time_millis_testing: 2.278, usercpu_time_millis_training: 1177.73,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8258, f_measure: 0.7597, kappa: 0.5154, kb_relative_information_score: 1198.8859, mean_absolute_error: 0.3564, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7635, predictive_accuracy: 0.7619, prior_entropy: 0.9948, recall: 0.7619, relative_absolute_error: 0.718, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4119, root_relative_squared_error: 0.8268, scimark_benchmark: 1772.8711, usercpu_time_millis: 962.629, usercpu_time_millis_testing: 1.708, usercpu_time_millis_training: 960.921,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8635, f_measure: 0.7978, kappa: 0.5921, kb_relative_information_score: 1471.8479, mean_absolute_error: 0.3196, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.798, predictive_accuracy: 0.7982, prior_entropy: 0.9948, recall: 0.7982, relative_absolute_error: 0.6439, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3872, root_relative_squared_error: 0.7772, scimark_benchmark: 1849.8294, usercpu_time_millis: 337.546, usercpu_time_millis_testing: 1.467, usercpu_time_millis_training: 336.079,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8826, f_measure: 0.8121, kappa: 0.6211, kb_relative_information_score: 1594.7208, mean_absolute_error: 0.3034, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8121, predictive_accuracy: 0.8123, prior_entropy: 0.9948, recall: 0.8123, relative_absolute_error: 0.6112, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3738, root_relative_squared_error: 0.7503, scimark_benchmark: 1734.1684, usercpu_time_millis: 299.603, usercpu_time_millis_testing: 2.655, usercpu_time_millis_training: 296.948,

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