Task
Supervised Classification on Bioresponse

Supervised Classification on Bioresponse

Task 145677 Supervised Classification Bioresponse 9363 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7958, f_measure: 0.746, kappa: 0.4875, kb_relative_information_score: 461.553, mean_absolute_error: 0.4487, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7482, predictive_accuracy: 0.7478, prior_entropy: 0.9948, recall: 0.7478, relative_absolute_error: 0.9039, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4582, root_relative_squared_error: 0.9197, scimark_benchmark: 1728.6214, usercpu_time_millis: 53.411, usercpu_time_millis_testing: 1.369, usercpu_time_millis_training: 52.042,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8397, f_measure: 0.7779, kappa: 0.552, kb_relative_information_score: 1255.5302, mean_absolute_error: 0.3484, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7786, predictive_accuracy: 0.7787, prior_entropy: 0.9948, recall: 0.7787, relative_absolute_error: 0.7018, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4043, root_relative_squared_error: 0.8115, scimark_benchmark: 1738.7316, usercpu_time_millis: 916.925, usercpu_time_millis_testing: 2.238, usercpu_time_millis_training: 914.687,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8801, f_measure: 0.8106, kappa: 0.6181, kb_relative_information_score: 1687.7351, mean_absolute_error: 0.2894, 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: 0.5829, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3729, root_relative_squared_error: 0.7485, scimark_benchmark: 1739.3121, usercpu_time_millis: 828.881, usercpu_time_millis_testing: 1.634, usercpu_time_millis_training: 827.247,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8804, f_measure: 0.8111, kappa: 0.619, kb_relative_information_score: 1588.701, mean_absolute_error: 0.3042, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8114, predictive_accuracy: 0.8115, prior_entropy: 0.9948, recall: 0.8115, relative_absolute_error: 0.6129, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3752, root_relative_squared_error: 0.753, scimark_benchmark: 1737.9267, usercpu_time_millis: 866.391, usercpu_time_millis_testing: 3.021, usercpu_time_millis_training: 863.37,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8512, f_measure: 0.7845, kappa: 0.5653, kb_relative_information_score: 1163.6342, mean_absolute_error: 0.3615, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7846, predictive_accuracy: 0.7849, prior_entropy: 0.9948, recall: 0.7849, relative_absolute_error: 0.7282, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4045, root_relative_squared_error: 0.812, scimark_benchmark: 1738.7316, usercpu_time_millis: 312.128, usercpu_time_millis_testing: 3.178, usercpu_time_millis_training: 308.95,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8253, f_measure: 0.7579, kappa: 0.5115, kb_relative_information_score: 1012.4647, mean_absolute_error: 0.3819, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7601, predictive_accuracy: 0.7595, prior_entropy: 0.9948, recall: 0.7595, relative_absolute_error: 0.7693, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4182, root_relative_squared_error: 0.8395, scimark_benchmark: 1737.5279, usercpu_time_millis: 189.493, usercpu_time_millis_testing: 1.428, usercpu_time_millis_training: 188.065,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8543, f_measure: 0.7862, kappa: 0.569, kb_relative_information_score: 1443.0578, mean_absolute_error: 0.3223, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7862, predictive_accuracy: 0.7865, prior_entropy: 0.9948, recall: 0.7865, relative_absolute_error: 0.6493, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3931, root_relative_squared_error: 0.7891, scimark_benchmark: 1777.1316, usercpu_time_millis: 57.889, usercpu_time_millis_testing: 0.728, usercpu_time_millis_training: 57.161,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.771, f_measure: 0.6957, kappa: 0.3864, kb_relative_information_score: 376.2258, mean_absolute_error: 0.4578, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.6993, predictive_accuracy: 0.699, prior_entropy: 0.9948, recall: 0.699, relative_absolute_error: 0.9223, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4653, root_relative_squared_error: 0.934, scimark_benchmark: 1737.8652, usercpu_time_millis: 10.348, usercpu_time_millis_testing: 0.791, usercpu_time_millis_training: 9.557,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4996, f_measure: 0.3813, kb_relative_information_score: -0.0868, 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: 1738.2694, usercpu_time_millis: 8.456, usercpu_time_millis_testing: 1.199, usercpu_time_millis_training: 7.257,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4989, f_measure: 0.3813, kb_relative_information_score: 0.0843, 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: 1736.9183, usercpu_time_millis: 7.96, usercpu_time_millis_testing: 1.228, usercpu_time_millis_training: 6.732,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5001, f_measure: 0.3813, kb_relative_information_score: -0.32, 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, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4982, root_relative_squared_error: 1, scimark_benchmark: 1736.4936, usercpu_time_millis: 5.921, usercpu_time_millis_testing: 0.836, usercpu_time_millis_training: 5.085,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8512, f_measure: 0.7818, kappa: 0.5597, kb_relative_information_score: 1432.2562, mean_absolute_error: 0.3238, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7823, predictive_accuracy: 0.7825, prior_entropy: 0.9948, recall: 0.7825, relative_absolute_error: 0.6523, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3946, root_relative_squared_error: 0.7921, scimark_benchmark: 2019.9134, usercpu_time_millis: 3977.305, usercpu_time_millis_testing: 2.543, usercpu_time_millis_training: 3974.762,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8681, f_measure: 0.7986, kappa: 0.5938, kb_relative_information_score: 1548.8712, mean_absolute_error: 0.3086, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7988, predictive_accuracy: 0.799, prior_entropy: 0.9948, recall: 0.799, relative_absolute_error: 0.6216, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.383, root_relative_squared_error: 0.7688, scimark_benchmark: 1747.5709, usercpu_time_millis: 10042.938, usercpu_time_millis_testing: 5.331, usercpu_time_millis_training: 10037.607,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8685, f_measure: 0.7985, kappa: 0.5935, kb_relative_information_score: 1590.8128, mean_absolute_error: 0.3025, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7988, predictive_accuracy: 0.799, prior_entropy: 0.9948, recall: 0.799, relative_absolute_error: 0.6094, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3818, root_relative_squared_error: 0.7664, scimark_benchmark: 1729.728, usercpu_time_millis: 10006.439, usercpu_time_millis_testing: 3.906, usercpu_time_millis_training: 10002.533,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8749, f_measure: 0.8057, kappa: 0.6081, kb_relative_information_score: 1669.6244, mean_absolute_error: 0.2916, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.806, predictive_accuracy: 0.8062, prior_entropy: 0.9948, recall: 0.8062, relative_absolute_error: 0.5873, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3764, root_relative_squared_error: 0.7556, scimark_benchmark: 1731.0556, usercpu_time_millis: 9251.058, usercpu_time_millis_testing: 3.863, usercpu_time_millis_training: 9247.195,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8782, f_measure: 0.8076, kappa: 0.6119, kb_relative_information_score: 1639.831, mean_absolute_error: 0.2964, 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: 0.5971, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3749, root_relative_squared_error: 0.7526, scimark_benchmark: 2014.6575, usercpu_time_millis: 2390.602, usercpu_time_millis_testing: 2.585, usercpu_time_millis_training: 2388.017,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8738, f_measure: 0.7998, kappa: 0.5962, kb_relative_information_score: 1763.8033, mean_absolute_error: 0.2762, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7998, predictive_accuracy: 0.8001, prior_entropy: 0.9948, recall: 0.8001, relative_absolute_error: 0.5563, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3777, root_relative_squared_error: 0.7581, scimark_benchmark: 1719.4725, usercpu_time_millis: 2359.326, usercpu_time_millis_testing: 1.733, usercpu_time_millis_training: 2357.593,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8589, f_measure: 0.7916, kappa: 0.5797, kb_relative_information_score: 1342.3377, mean_absolute_error: 0.3374, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7918, predictive_accuracy: 0.7921, prior_entropy: 0.9948, recall: 0.7921, relative_absolute_error: 0.6797, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3939, root_relative_squared_error: 0.7906, scimark_benchmark: 1730.591, usercpu_time_millis: 976.347, usercpu_time_millis_testing: 3.064, usercpu_time_millis_training: 973.283,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8252, f_measure: 0.7507, kappa: 0.4972, kb_relative_information_score: 1218.8466, mean_absolute_error: 0.3534, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7547, predictive_accuracy: 0.7531, prior_entropy: 0.9948, recall: 0.7531, relative_absolute_error: 0.712, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4134, root_relative_squared_error: 0.8298, scimark_benchmark: 1729.2809, usercpu_time_millis: 774.176, usercpu_time_millis_testing: 1.381, usercpu_time_millis_training: 772.795,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8446, f_measure: 0.7775, kappa: 0.5511, kb_relative_information_score: 1308.6036, mean_absolute_error: 0.3411, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.778, predictive_accuracy: 0.7782, prior_entropy: 0.9948, recall: 0.7782, relative_absolute_error: 0.6871, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4007, root_relative_squared_error: 0.8043, scimark_benchmark: 1731.9625, usercpu_time_millis: 686.108, usercpu_time_millis_testing: 2.318, usercpu_time_millis_training: 683.79,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8731, f_measure: 0.8031, kappa: 0.6027, kb_relative_information_score: 1625.675, mean_absolute_error: 0.2979, 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: 0.6001, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3784, root_relative_squared_error: 0.7595, scimark_benchmark: 1727.4447, usercpu_time_millis: 639.583, usercpu_time_millis_testing: 1.088, usercpu_time_millis_training: 638.495,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8338, f_measure: 0.7697, kappa: 0.5354, kb_relative_information_score: 1276.4292, mean_absolute_error: 0.3448, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7698, predictive_accuracy: 0.7702, prior_entropy: 0.9948, recall: 0.7702, relative_absolute_error: 0.6946, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4065, root_relative_squared_error: 0.8159, scimark_benchmark: 1846.985, usercpu_time_millis: 532.847, usercpu_time_millis_testing: 1.889, usercpu_time_millis_training: 530.958,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8412, f_measure: 0.7682, kappa: 0.5322, kb_relative_information_score: 1360.7853, mean_absolute_error: 0.3325, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7703, predictive_accuracy: 0.7697, prior_entropy: 0.9948, recall: 0.7697, relative_absolute_error: 0.6697, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4022, root_relative_squared_error: 0.8072, scimark_benchmark: 1760.4199, usercpu_time_millis: 415.232, usercpu_time_millis_testing: 0.722, usercpu_time_millis_training: 414.51,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8593, f_measure: 0.7894, kappa: 0.5752, kb_relative_information_score: 1439.0842, mean_absolute_error: 0.324, 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: 0.6527, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3901, root_relative_squared_error: 0.7831, scimark_benchmark: 1715.9684, usercpu_time_millis: 254.218, usercpu_time_millis_testing: 1.392, usercpu_time_millis_training: 252.826,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4995, f_measure: 0.3813, kb_relative_information_score: -0.1057, 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: 1737.1003, usercpu_time_millis: 8.241, usercpu_time_millis_testing: 1.214, usercpu_time_millis_training: 7.027,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8151, f_measure: 0.7418, kappa: 0.4792, kb_relative_information_score: 802.1909, mean_absolute_error: 0.4079, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.742, predictive_accuracy: 0.7425, prior_entropy: 0.9948, recall: 0.7425, relative_absolute_error: 0.8216, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4318, root_relative_squared_error: 0.8668, scimark_benchmark: 1732.4995, usercpu_time_millis: 55.045, usercpu_time_millis_testing: 1.847, usercpu_time_millis_training: 53.198,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8575, f_measure: 0.7891, kappa: 0.5745, kb_relative_information_score: 1446.1229, mean_absolute_error: 0.3229, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7895, predictive_accuracy: 0.7897, prior_entropy: 0.9948, recall: 0.7897, relative_absolute_error: 0.6504, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3908, root_relative_squared_error: 0.7843, scimark_benchmark: 1700.8809, usercpu_time_millis: 1879.766, usercpu_time_millis_testing: 3.037, usercpu_time_millis_training: 1876.729,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8348, f_measure: 0.7596, kappa: 0.515, kb_relative_information_score: 1308.7732, mean_absolute_error: 0.34, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7622, predictive_accuracy: 0.7614, prior_entropy: 0.9948, recall: 0.7614, relative_absolute_error: 0.685, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4061, root_relative_squared_error: 0.8152, scimark_benchmark: 1724.4319, usercpu_time_millis: 986.125, usercpu_time_millis_testing: 1.314, usercpu_time_millis_training: 984.811,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8715, f_measure: 0.8011, kappa: 0.5988, kb_relative_information_score: 1528.6619, mean_absolute_error: 0.3122, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8016, predictive_accuracy: 0.8017, prior_entropy: 0.9948, recall: 0.8017, relative_absolute_error: 0.6289, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3816, root_relative_squared_error: 0.7659, scimark_benchmark: 1732.8983, usercpu_time_millis: 978.842, usercpu_time_millis_testing: 2.105, usercpu_time_millis_training: 976.737,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4996, f_measure: 0.3813, kb_relative_information_score: -0.1219, 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: 1802.1296, usercpu_time_millis: 6.942, usercpu_time_millis_testing: 1.057, usercpu_time_millis_training: 5.885,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8714, f_measure: 0.8004, kappa: 0.5974, kb_relative_information_score: 1677.5079, mean_absolute_error: 0.2896, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8007, predictive_accuracy: 0.8009, prior_entropy: 0.9948, recall: 0.8009, relative_absolute_error: 0.5834, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3791, root_relative_squared_error: 0.7608, scimark_benchmark: 1176.7141, usercpu_time_millis: 25812.851, usercpu_time_millis_testing: 6.054, usercpu_time_millis_training: 25806.797,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8579, f_measure: 0.7878, kappa: 0.572, kb_relative_information_score: 1516.3308, mean_absolute_error: 0.3118, 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: 0.6281, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3896, root_relative_squared_error: 0.7821, scimark_benchmark: 1177.8051, usercpu_time_millis: 13387.387, usercpu_time_millis_testing: 5.344, usercpu_time_millis_training: 13382.043,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8562, f_measure: 0.7871, kappa: 0.5705, kb_relative_information_score: 1484.8145, mean_absolute_error: 0.3164, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7877, predictive_accuracy: 0.7878, prior_entropy: 0.9948, recall: 0.7878, relative_absolute_error: 0.6374, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.391, root_relative_squared_error: 0.7847, scimark_benchmark: 1174.2747, usercpu_time_millis: 7501.642, usercpu_time_millis_testing: 3.622, usercpu_time_millis_training: 7498.02,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8507, f_measure: 0.7843, kappa: 0.5649, kb_relative_information_score: 1410.3571, mean_absolute_error: 0.3274, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7846, predictive_accuracy: 0.7849, prior_entropy: 0.9948, recall: 0.7849, relative_absolute_error: 0.6595, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3952, root_relative_squared_error: 0.7931, scimark_benchmark: 1182.5384, usercpu_time_millis: 4624.056, usercpu_time_millis_testing: 4.411, usercpu_time_millis_training: 4619.645,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.866, f_measure: 0.8008, kappa: 0.5982, kb_relative_information_score: 1526.3472, mean_absolute_error: 0.3121, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8013, predictive_accuracy: 0.8014, prior_entropy: 0.9948, recall: 0.8014, relative_absolute_error: 0.6286, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3844, root_relative_squared_error: 0.7715, scimark_benchmark: 1169.1332, usercpu_time_millis: 8270.854, usercpu_time_millis_testing: 5.66, usercpu_time_millis_training: 8265.194,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8294, f_measure: 0.7616, kappa: 0.5189, kb_relative_information_score: 1143.3178, mean_absolute_error: 0.3644, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.764, predictive_accuracy: 0.7633, prior_entropy: 0.9948, recall: 0.7633, relative_absolute_error: 0.734, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4116, root_relative_squared_error: 0.8262, scimark_benchmark: 1178.6298, usercpu_time_millis: 1340.48, usercpu_time_millis_testing: 3.097, usercpu_time_millis_training: 1337.383,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8827, f_measure: 0.8102, kappa: 0.6172, kb_relative_information_score: 1606.2403, mean_absolute_error: 0.3018, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8102, predictive_accuracy: 0.8105, prior_entropy: 0.9948, recall: 0.8105, relative_absolute_error: 0.6079, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3734, root_relative_squared_error: 0.7494, scimark_benchmark: 1176.757, usercpu_time_millis: 2158.253, usercpu_time_millis_testing: 7.84, usercpu_time_millis_training: 2150.413,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4989, f_measure: 0.3813, kb_relative_information_score: 0.0998, 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: 1183.0235, usercpu_time_millis: 10.388, usercpu_time_millis_testing: 1.945, usercpu_time_millis_training: 8.443,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8725, f_measure: 0.8033, kappa: 0.6032, kb_relative_information_score: 1618.8852, mean_absolute_error: 0.2989, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8037, predictive_accuracy: 0.8038, prior_entropy: 0.9948, recall: 0.8038, relative_absolute_error: 0.6021, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3788, root_relative_squared_error: 0.7602, scimark_benchmark: 1182.5119, usercpu_time_millis: 15198.326, usercpu_time_millis_testing: 5.621, usercpu_time_millis_training: 15192.705,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8667, f_measure: 0.7976, kappa: 0.5917, kb_relative_information_score: 1371.4762, mean_absolute_error: 0.334, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7977, predictive_accuracy: 0.7979, prior_entropy: 0.9948, recall: 0.7979, relative_absolute_error: 0.6728, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3897, root_relative_squared_error: 0.7822, scimark_benchmark: 1186.3431, usercpu_time_millis: 2082.613, usercpu_time_millis_testing: 6.013, usercpu_time_millis_training: 2076.6,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8286, f_measure: 0.7644, kappa: 0.5246, kb_relative_information_score: 1260.6005, mean_absolute_error: 0.3475, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7673, predictive_accuracy: 0.7662, prior_entropy: 0.9948, recall: 0.7662, relative_absolute_error: 0.7, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4087, root_relative_squared_error: 0.8204, scimark_benchmark: 1182.3799, usercpu_time_millis: 2390.054, usercpu_time_millis_testing: 2.693, usercpu_time_millis_training: 2387.361,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4996, f_measure: 0.3813, kb_relative_information_score: 0.0269, 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: 1179.4032, usercpu_time_millis: 6.279, usercpu_time_millis_testing: 1.169, usercpu_time_millis_training: 5.11,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8666, f_measure: 0.7986, kappa: 0.5938, kb_relative_information_score: 1478.4606, mean_absolute_error: 0.319, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7988, predictive_accuracy: 0.799, prior_entropy: 0.9948, recall: 0.799, relative_absolute_error: 0.6425, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3855, root_relative_squared_error: 0.7738, scimark_benchmark: 1178.5912, usercpu_time_millis: 2992.312, usercpu_time_millis_testing: 5.55, usercpu_time_millis_training: 2986.762,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8475, f_measure: 0.774, kappa: 0.5439, kb_relative_information_score: 1394.743, mean_absolute_error: 0.3291, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7757, predictive_accuracy: 0.7753, prior_entropy: 0.9948, recall: 0.7753, relative_absolute_error: 0.663, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3974, root_relative_squared_error: 0.7976, scimark_benchmark: 1180.8017, usercpu_time_millis: 5868.022, usercpu_time_millis_testing: 4.228, usercpu_time_millis_training: 5863.794,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.874, f_measure: 0.8051, kappa: 0.6069, kb_relative_information_score: 1715.9838, mean_absolute_error: 0.2841, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8052, predictive_accuracy: 0.8054, prior_entropy: 0.9948, recall: 0.8054, relative_absolute_error: 0.5723, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.377, root_relative_squared_error: 0.7567, scimark_benchmark: 1183.322, usercpu_time_millis: 10057.234, usercpu_time_millis_testing: 3.289, usercpu_time_millis_training: 10053.945,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8811, f_measure: 0.8094, kappa: 0.6157, kb_relative_information_score: 1505.3511, mean_absolute_error: 0.3161, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8094, predictive_accuracy: 0.8097, prior_entropy: 0.9948, recall: 0.8097, relative_absolute_error: 0.6367, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3781, root_relative_squared_error: 0.7588, scimark_benchmark: 1183.5708, usercpu_time_millis: 782.95, usercpu_time_millis_testing: 6.325, usercpu_time_millis_training: 776.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8724, f_measure: 0.8028, kappa: 0.6023, kb_relative_information_score: 1639.7245, mean_absolute_error: 0.2954, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8031, predictive_accuracy: 0.8033, prior_entropy: 0.9948, recall: 0.8033, relative_absolute_error: 0.595, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3788, root_relative_squared_error: 0.7604, scimark_benchmark: 1181.8186, usercpu_time_millis: 2020.778, usercpu_time_millis_testing: 1.775, usercpu_time_millis_training: 2019.003,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8285, f_measure: 0.7533, kappa: 0.5023, kb_relative_information_score: 1272.7805, mean_absolute_error: 0.3453, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.757, predictive_accuracy: 0.7555, prior_entropy: 0.9948, recall: 0.7555, relative_absolute_error: 0.6956, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4098, root_relative_squared_error: 0.8225, scimark_benchmark: 1176.3153, usercpu_time_millis: 1320.36, usercpu_time_millis_testing: 1.525, usercpu_time_millis_training: 1318.835,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5001, f_measure: 0.3813, kb_relative_information_score: -0.6767, 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: 1181.1922, usercpu_time_millis: 6.39, usercpu_time_millis_testing: 1.07, usercpu_time_millis_training: 5.32,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8318, f_measure: 0.7548, kappa: 0.5052, kb_relative_information_score: 1309.0176, mean_absolute_error: 0.3395, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7567, predictive_accuracy: 0.7563, prior_entropy: 0.9948, recall: 0.7563, relative_absolute_error: 0.6838, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4075, root_relative_squared_error: 0.8179, scimark_benchmark: 1180.4084, usercpu_time_millis: 5717.272, usercpu_time_millis_testing: 3.215, usercpu_time_millis_training: 5714.057,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4998, f_measure: 0.3813, kb_relative_information_score: -0.4677, 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: 1180.0621, usercpu_time_millis: 7.004, usercpu_time_millis_testing: 1.233, usercpu_time_millis_training: 5.771,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8481, f_measure: 0.7811, kappa: 0.5583, kb_relative_information_score: 1350.5375, mean_absolute_error: 0.3356, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7814, predictive_accuracy: 0.7817, prior_entropy: 0.9948, recall: 0.7817, relative_absolute_error: 0.6761, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.398, root_relative_squared_error: 0.7989, scimark_benchmark: 1176.6609, usercpu_time_millis: 2446.232, usercpu_time_millis_testing: 4.805, usercpu_time_millis_training: 2441.427,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.808, f_measure: 0.7501, kappa: 0.4965, kb_relative_information_score: 1247.2929, mean_absolute_error: 0.3486, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7566, predictive_accuracy: 0.7534, prior_entropy: 0.9948, recall: 0.7534, relative_absolute_error: 0.7022, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.418, root_relative_squared_error: 0.839, scimark_benchmark: 1180.9266, usercpu_time_millis: 4022.908, usercpu_time_millis_testing: 2.953, usercpu_time_millis_training: 4019.955,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8787, f_measure: 0.81, kappa: 0.617, kb_relative_information_score: 1778.8182, mean_absolute_error: 0.2749, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.81, predictive_accuracy: 0.8102, prior_entropy: 0.9948, recall: 0.8102, relative_absolute_error: 0.5537, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3733, root_relative_squared_error: 0.7493, scimark_benchmark: 1181.824, usercpu_time_millis: 7008.759, usercpu_time_millis_testing: 6.157, usercpu_time_millis_training: 7002.602,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4998, f_measure: 0.3813, kb_relative_information_score: -0.0112, 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: 1180.7439, usercpu_time_millis: 9.216, usercpu_time_millis_testing: 1.574, usercpu_time_millis_training: 7.642,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8476, f_measure: 0.7794, kappa: 0.5551, kb_relative_information_score: 1130.7994, mean_absolute_error: 0.3657, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7795, predictive_accuracy: 0.7798, prior_entropy: 0.9948, recall: 0.7798, relative_absolute_error: 0.7366, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4072, root_relative_squared_error: 0.8172, scimark_benchmark: 1179.3557, usercpu_time_millis: 168.396, usercpu_time_millis_testing: 2.71, usercpu_time_millis_training: 165.686,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8686, f_measure: 0.8017, kappa: 0.6, kb_relative_information_score: 1439.0235, mean_absolute_error: 0.3249, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8021, predictive_accuracy: 0.8022, prior_entropy: 0.9948, recall: 0.8022, relative_absolute_error: 0.6546, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3859, root_relative_squared_error: 0.7745, scimark_benchmark: 1180.6589, usercpu_time_millis: 2307.513, usercpu_time_millis_testing: 5.821, usercpu_time_millis_training: 2301.692,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8668, f_measure: 0.7964, kappa: 0.5893, kb_relative_information_score: 1566.8787, mean_absolute_error: 0.3057, 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: 0.6158, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3833, root_relative_squared_error: 0.7694, scimark_benchmark: 1182.7298, usercpu_time_millis: 4773.274, usercpu_time_millis_testing: 2.135, usercpu_time_millis_training: 4771.139,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7941, f_measure: 0.7372, kappa: 0.4715, kb_relative_information_score: 689.5493, mean_absolute_error: 0.4228, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7379, predictive_accuracy: 0.7369, prior_entropy: 0.9948, recall: 0.7369, relative_absolute_error: 0.8516, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4432, root_relative_squared_error: 0.8896, scimark_benchmark: 1182.1895, usercpu_time_millis: 240.86, usercpu_time_millis_testing: 2.229, usercpu_time_millis_training: 238.631,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8553, f_measure: 0.7857, kappa: 0.5677, kb_relative_information_score: 1428.7879, mean_absolute_error: 0.3251, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.786, predictive_accuracy: 0.7862, prior_entropy: 0.9948, recall: 0.7862, relative_absolute_error: 0.6549, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3924, root_relative_squared_error: 0.7877, scimark_benchmark: 1179.8825, usercpu_time_millis: 3768.001, usercpu_time_millis_testing: 4.839, usercpu_time_millis_training: 3763.162,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7564, f_measure: 0.6492, kappa: 0.3047, kb_relative_information_score: 257.0932, mean_absolute_error: 0.4707, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.6767, predictive_accuracy: 0.6649, prior_entropy: 0.9948, recall: 0.6649, relative_absolute_error: 0.9482, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4753, root_relative_squared_error: 0.954, scimark_benchmark: 1181.0141, usercpu_time_millis: 7.82, usercpu_time_millis_testing: 1.116, usercpu_time_millis_training: 6.704,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.857, f_measure: 0.7851, kappa: 0.5664, kb_relative_information_score: 1550.3266, mean_absolute_error: 0.3063, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7855, predictive_accuracy: 0.7857, prior_entropy: 0.9948, recall: 0.7857, relative_absolute_error: 0.617, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3902, root_relative_squared_error: 0.7832, scimark_benchmark: 1178.1803, usercpu_time_millis: 14920.536, usercpu_time_millis_testing: 3.416, usercpu_time_millis_training: 14917.12,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.871, f_measure: 0.8001, kappa: 0.5967, kb_relative_information_score: 1625.2284, mean_absolute_error: 0.2976, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8004, predictive_accuracy: 0.8006, prior_entropy: 0.9948, recall: 0.8006, relative_absolute_error: 0.5995, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3797, root_relative_squared_error: 0.7621, scimark_benchmark: 1176.5397, usercpu_time_millis: 14299.809, usercpu_time_millis_testing: 4.163, usercpu_time_millis_training: 14295.646,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8543, f_measure: 0.7853, kappa: 0.5669, kb_relative_information_score: 1451.1195, mean_absolute_error: 0.3213, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7857, predictive_accuracy: 0.7859, prior_entropy: 0.9948, recall: 0.7859, relative_absolute_error: 0.6471, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3926, root_relative_squared_error: 0.7881, scimark_benchmark: 1178.6977, usercpu_time_millis: 4447.904, usercpu_time_millis_testing: 2.347, usercpu_time_millis_training: 4445.557,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8787, f_measure: 0.8098, kappa: 0.6164, kb_relative_information_score: 1682.9883, mean_absolute_error: 0.29, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.81, predictive_accuracy: 0.8102, prior_entropy: 0.9948, recall: 0.8102, relative_absolute_error: 0.5842, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3738, root_relative_squared_error: 0.7503, scimark_benchmark: 1180.2206, usercpu_time_millis: 10322.26, usercpu_time_millis_testing: 6.785, usercpu_time_millis_training: 10315.475,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8319, f_measure: 0.7657, kappa: 0.5273, kb_relative_information_score: 1249.8524, mean_absolute_error: 0.349, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7679, predictive_accuracy: 0.7673, prior_entropy: 0.9948, recall: 0.7673, relative_absolute_error: 0.7031, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4083, root_relative_squared_error: 0.8195, scimark_benchmark: 1170.0422, usercpu_time_millis: 1024.172, usercpu_time_millis_testing: 1.714, usercpu_time_millis_training: 1022.458,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7734, f_measure: 0.7372, kappa: 0.4719, kb_relative_information_score: 975.2303, mean_absolute_error: 0.3867, 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: 0.779, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4383, root_relative_squared_error: 0.8798, scimark_benchmark: 1182.5154, usercpu_time_millis: 452.151, usercpu_time_millis_testing: 2.164, usercpu_time_millis_training: 449.987,

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