OpenML
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: 0.8188, f_measure: 0.7534, kappa: 0.5023, kb_relative_information_score: 1141.6983, mean_absolute_error: 0.3647, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7543, predictive_accuracy: 0.7545, prior_entropy: 0.9948, recall: 0.7545, relative_absolute_error: 0.7345, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4172, root_relative_squared_error: 0.8374, scimark_benchmark: 1701.3425, usercpu_time_millis: 1166.701, usercpu_time_millis_testing: 2.48, usercpu_time_millis_training: 1164.221,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8502, f_measure: 0.7814, kappa: 0.5589, kb_relative_information_score: 1304.3887, mean_absolute_error: 0.3421, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7821, predictive_accuracy: 0.7822, prior_entropy: 0.9948, recall: 0.7822, relative_absolute_error: 0.6892, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3985, root_relative_squared_error: 0.7999, scimark_benchmark: 748.665, usercpu_time_millis: 991.381, usercpu_time_millis_testing: 4.513, usercpu_time_millis_training: 986.868,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8383, f_measure: 0.7684, kappa: 0.5326, kb_relative_information_score: 1320.5326, mean_absolute_error: 0.3386, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.77, predictive_accuracy: 0.7697, prior_entropy: 0.9948, recall: 0.7697, relative_absolute_error: 0.6821, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4039, root_relative_squared_error: 0.8107, scimark_benchmark: 1870.3486, usercpu_time_millis: 2530.163, usercpu_time_millis_testing: 1.804, usercpu_time_millis_training: 2528.359,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8553, f_measure: 0.7857, kappa: 0.5676, kb_relative_information_score: 1466.2953, mean_absolute_error: 0.3196, 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: 0.6437, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3915, root_relative_squared_error: 0.7858, scimark_benchmark: 1724.4712, usercpu_time_millis: 794.046, usercpu_time_millis_testing: 1.404, usercpu_time_millis_training: 792.642,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8665, f_measure: 0.8009, kappa: 0.5985, kb_relative_information_score: 1403.8991, mean_absolute_error: 0.3295, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8012, predictive_accuracy: 0.8014, prior_entropy: 0.9948, recall: 0.8014, relative_absolute_error: 0.6638, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3883, root_relative_squared_error: 0.7793, scimark_benchmark: 1725.4693, usercpu_time_millis: 624.764, usercpu_time_millis_testing: 3.873, usercpu_time_millis_training: 620.891,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8203, f_measure: 0.7561, kappa: 0.5081, kb_relative_information_score: 1148.2936, mean_absolute_error: 0.3635, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7601, predictive_accuracy: 0.7585, prior_entropy: 0.9948, recall: 0.7585, relative_absolute_error: 0.7323, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4155, root_relative_squared_error: 0.834, scimark_benchmark: 1697.1935, usercpu_time_millis: 516.265, usercpu_time_millis_testing: 1.433, usercpu_time_millis_training: 514.832,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.833, f_measure: 0.7684, kappa: 0.5328, kb_relative_information_score: 1236.1308, mean_absolute_error: 0.3505, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7685, predictive_accuracy: 0.7689, prior_entropy: 0.9948, recall: 0.7689, relative_absolute_error: 0.7059, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4078, root_relative_squared_error: 0.8185, scimark_benchmark: 748.8775, usercpu_time_millis: 420.699, usercpu_time_millis_testing: 2.917, usercpu_time_millis_training: 417.782,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8527, f_measure: 0.7873, kappa: 0.571, kb_relative_information_score: 1184.0879, mean_absolute_error: 0.359, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7875, predictive_accuracy: 0.7878, prior_entropy: 0.9948, recall: 0.7878, relative_absolute_error: 0.7231, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.403, root_relative_squared_error: 0.8089, scimark_benchmark: 1723.0479, usercpu_time_millis: 311.393, usercpu_time_millis_testing: 2.659, usercpu_time_millis_training: 308.734,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8586, f_measure: 0.7942, kappa: 0.5849, kb_relative_information_score: 1463.2506, mean_absolute_error: 0.3204, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7945, predictive_accuracy: 0.7947, prior_entropy: 0.9948, recall: 0.7947, relative_absolute_error: 0.6454, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3901, root_relative_squared_error: 0.783, scimark_benchmark: 1737.5202, usercpu_time_millis: 265.869, usercpu_time_millis_testing: 1.122, usercpu_time_millis_training: 264.747,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8395, f_measure: 0.7756, kappa: 0.5472, kb_relative_information_score: 1262.8737, mean_absolute_error: 0.3472, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7762, predictive_accuracy: 0.7763, prior_entropy: 0.9948, recall: 0.7763, relative_absolute_error: 0.6995, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4042, root_relative_squared_error: 0.8113, scimark_benchmark: 1714.7898, usercpu_time_millis: 1901.528, usercpu_time_millis_testing: 3.693, usercpu_time_millis_training: 1897.835,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8254, f_measure: 0.7577, kappa: 0.511, kb_relative_information_score: 1007.3694, mean_absolute_error: 0.3824, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7591, predictive_accuracy: 0.759, prior_entropy: 0.9948, recall: 0.759, relative_absolute_error: 0.7703, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4184, root_relative_squared_error: 0.8399, scimark_benchmark: 1738.5077, usercpu_time_millis: 228.544, usercpu_time_millis_testing: 2.068, usercpu_time_millis_training: 226.476,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8666, f_measure: 0.7961, kappa: 0.5886, kb_relative_information_score: 1507.8634, mean_absolute_error: 0.3148, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7964, predictive_accuracy: 0.7966, prior_entropy: 0.9948, recall: 0.7966, relative_absolute_error: 0.6342, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3845, root_relative_squared_error: 0.7718, scimark_benchmark: 1727.7871, usercpu_time_millis: 815.645, usercpu_time_millis_testing: 1.945, usercpu_time_millis_training: 813.7,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8748, f_measure: 0.8043, kappa: 0.6055, kb_relative_information_score: 1392.9088, mean_absolute_error: 0.3317, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8044, predictive_accuracy: 0.8046, prior_entropy: 0.9948, recall: 0.8046, relative_absolute_error: 0.6682, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3856, root_relative_squared_error: 0.774, scimark_benchmark: 1734.8335, usercpu_time_millis: 188.328, usercpu_time_millis_testing: 2.75, usercpu_time_millis_training: 185.578,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8612, f_measure: 0.7926, kappa: 0.582, kb_relative_information_score: 1753.6301, mean_absolute_error: 0.2757, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7926, predictive_accuracy: 0.7929, prior_entropy: 0.9948, recall: 0.7929, relative_absolute_error: 0.5553, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3872, root_relative_squared_error: 0.7773, scimark_benchmark: 1739.0587, usercpu_time_millis: 137.447, usercpu_time_millis_testing: 0.691, usercpu_time_millis_training: 136.756,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8612, f_measure: 0.7966, kappa: 0.5898, kb_relative_information_score: 1519.9127, mean_absolute_error: 0.3121, 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: 0.6288, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3874, root_relative_squared_error: 0.7776, scimark_benchmark: 1726.1942, usercpu_time_millis: 159.423, usercpu_time_millis_testing: 0.934, usercpu_time_millis_training: 158.489,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8005, f_measure: 0.7492, kappa: 0.4938, kb_relative_information_score: 698.8076, mean_absolute_error: 0.4213, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7504, predictive_accuracy: 0.7505, prior_entropy: 0.9948, recall: 0.7505, relative_absolute_error: 0.8486, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4409, root_relative_squared_error: 0.8849, scimark_benchmark: 1736.5552, usercpu_time_millis: 123.752, usercpu_time_millis_testing: 1.582, usercpu_time_millis_training: 122.17,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8366, f_measure: 0.7711, kappa: 0.5382, kb_relative_information_score: 1230.3552, mean_absolute_error: 0.3516, 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: 0.7082, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4064, root_relative_squared_error: 0.8157, scimark_benchmark: 1731.1994, usercpu_time_millis: 72.112, usercpu_time_millis_testing: 1.004, usercpu_time_millis_training: 71.108,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8011, f_measure: 0.7518, kappa: 0.4993, kb_relative_information_score: 1221.6371, mean_absolute_error: 0.353, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7551, predictive_accuracy: 0.7539, prior_entropy: 0.9948, recall: 0.7539, relative_absolute_error: 0.7111, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4191, root_relative_squared_error: 0.8412, scimark_benchmark: 1801.9634, usercpu_time_millis: 113.469, usercpu_time_millis_testing: 0.695, usercpu_time_millis_training: 112.774,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8323, f_measure: 0.7655, kappa: 0.5268, kb_relative_information_score: 1003.8522, mean_absolute_error: 0.3825, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7659, predictive_accuracy: 0.7662, prior_entropy: 0.9948, recall: 0.7662, relative_absolute_error: 0.7704, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4173, root_relative_squared_error: 0.8375, scimark_benchmark: 2120.0019, usercpu_time_millis: 36.644, usercpu_time_millis_testing: 0.713, usercpu_time_millis_training: 35.931,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8173, f_measure: 0.7212, kappa: 0.4374, kb_relative_information_score: 635.2201, mean_absolute_error: 0.4285, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7228, predictive_accuracy: 0.723, prior_entropy: 0.9948, recall: 0.723, relative_absolute_error: 0.8632, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4426, root_relative_squared_error: 0.8884, scimark_benchmark: 1738.7921, usercpu_time_millis: 32.838, usercpu_time_millis_testing: 2.385, usercpu_time_millis_training: 30.453,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8353, f_measure: 0.7664, kappa: 0.5287, kb_relative_information_score: 1390.5221, mean_absolute_error: 0.3272, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7667, predictive_accuracy: 0.767, prior_entropy: 0.9948, recall: 0.767, relative_absolute_error: 0.6591, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4047, root_relative_squared_error: 0.8124, scimark_benchmark: 1733.7613, usercpu_time_millis: 18.246, usercpu_time_millis_testing: 0.645, usercpu_time_millis_training: 17.601,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.499, f_measure: 0.3813, kb_relative_information_score: 0.1098, 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: 1703.0033, usercpu_time_millis: 11.988, usercpu_time_millis_testing: 1.718, usercpu_time_millis_training: 10.27,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8297, f_measure: 0.7544, kappa: 0.5046, kb_relative_information_score: 1277.4316, mean_absolute_error: 0.3447, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7579, predictive_accuracy: 0.7566, prior_entropy: 0.9948, recall: 0.7566, relative_absolute_error: 0.6944, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.409, root_relative_squared_error: 0.8209, scimark_benchmark: 1712.6783, usercpu_time_millis: 615.465, usercpu_time_millis_testing: 0.912, usercpu_time_millis_training: 614.553,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4988, f_measure: 0.3813, kb_relative_information_score: 0.0183, 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: 1722.2536, usercpu_time_millis: 8.431, usercpu_time_millis_testing: 1.492, usercpu_time_millis_training: 6.939,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8821, f_measure: 0.8134, kappa: 0.6236, kb_relative_information_score: 1585.8376, mean_absolute_error: 0.3047, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8135, predictive_accuracy: 0.8137, prior_entropy: 0.9948, recall: 0.8137, relative_absolute_error: 0.6138, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3744, root_relative_squared_error: 0.7514, scimark_benchmark: 1714.7312, usercpu_time_millis: 1600.395, usercpu_time_millis_testing: 5.148, usercpu_time_millis_training: 1595.247,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8472, f_measure: 0.7809, kappa: 0.558, kb_relative_information_score: 1364.6842, mean_absolute_error: 0.3336, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7811, predictive_accuracy: 0.7814, prior_entropy: 0.9948, recall: 0.7814, relative_absolute_error: 0.672, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.398, root_relative_squared_error: 0.7989, scimark_benchmark: 1762.2114, usercpu_time_millis: 1512.985, usercpu_time_millis_testing: 3.009, usercpu_time_millis_training: 1509.976,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7957, f_measure: 0.7369, kappa: 0.4708, kb_relative_information_score: 869.8655, mean_absolute_error: 0.4006, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7375, predictive_accuracy: 0.7366, prior_entropy: 0.9948, recall: 0.7366, relative_absolute_error: 0.8069, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4337, root_relative_squared_error: 0.8706, scimark_benchmark: 1733.81, usercpu_time_millis: 348.545, usercpu_time_millis_testing: 1.921, usercpu_time_millis_training: 346.624,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8293, f_measure: 0.7639, kappa: 0.5236, kb_relative_information_score: 1198.2038, mean_absolute_error: 0.3565, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7659, predictive_accuracy: 0.7654, prior_entropy: 0.9948, recall: 0.7654, relative_absolute_error: 0.7182, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4105, root_relative_squared_error: 0.824, scimark_benchmark: 1729.2293, usercpu_time_millis: 315.116, usercpu_time_millis_testing: 1.152, usercpu_time_millis_training: 313.964,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8322, f_measure: 0.7661, kappa: 0.528, kb_relative_information_score: 1260.4851, mean_absolute_error: 0.3475, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.768, predictive_accuracy: 0.7675, prior_entropy: 0.9948, recall: 0.7675, relative_absolute_error: 0.7, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4077, root_relative_squared_error: 0.8183, scimark_benchmark: 1715.5791, usercpu_time_millis: 139.765, usercpu_time_millis_testing: 0.749, usercpu_time_millis_training: 139.016,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8605, f_measure: 0.7988, kappa: 0.5941, kb_relative_information_score: 1539.651, mean_absolute_error: 0.3094, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7991, predictive_accuracy: 0.7993, prior_entropy: 0.9948, recall: 0.7993, relative_absolute_error: 0.6232, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3875, root_relative_squared_error: 0.7777, scimark_benchmark: 1730.591, usercpu_time_millis: 136.171, usercpu_time_millis_testing: 0.75, usercpu_time_millis_training: 135.421,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8318, f_measure: 0.7654, kappa: 0.5266, kb_relative_information_score: 1211.3216, mean_absolute_error: 0.3547, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7671, predictive_accuracy: 0.7667, prior_entropy: 0.9948, recall: 0.7667, relative_absolute_error: 0.7145, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4089, root_relative_squared_error: 0.8206, scimark_benchmark: 1756.1603, usercpu_time_millis: 1050.624, usercpu_time_millis_testing: 1.907, usercpu_time_millis_training: 1048.717,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7963, f_measure: 0.7372, kappa: 0.4719, kb_relative_information_score: 985.6708, mean_absolute_error: 0.3852, 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: 0.7759, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4347, root_relative_squared_error: 0.8724, scimark_benchmark: 1718.7337, usercpu_time_millis: 28.935, usercpu_time_millis_testing: 0.752, usercpu_time_millis_training: 28.183,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8016, f_measure: 0.7302, kappa: 0.4558, kb_relative_information_score: 687.8352, mean_absolute_error: 0.4222, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7304, predictive_accuracy: 0.731, prior_entropy: 0.9948, recall: 0.731, relative_absolute_error: 0.8504, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4409, root_relative_squared_error: 0.885, scimark_benchmark: 1738.3274, usercpu_time_millis: 15.074, usercpu_time_millis_testing: 0.757, usercpu_time_millis_training: 14.317,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8326, f_measure: 0.7679, kappa: 0.5317, kb_relative_information_score: 1313.0951, mean_absolute_error: 0.339, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7683, predictive_accuracy: 0.7686, prior_entropy: 0.9948, recall: 0.7686, relative_absolute_error: 0.6829, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4067, root_relative_squared_error: 0.8163, scimark_benchmark: 1751.4829, usercpu_time_millis: 1002.743, usercpu_time_millis_testing: 1.561, usercpu_time_millis_training: 1001.182,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4996, f_measure: 0.3813, kb_relative_information_score: -0.1547, 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: 1727.044, usercpu_time_millis: 7.051, usercpu_time_millis_testing: 1.082, usercpu_time_millis_training: 5.969,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8773, f_measure: 0.8106, kappa: 0.618, kb_relative_information_score: 1513.3363, mean_absolute_error: 0.315, 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: 0.6346, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3792, root_relative_squared_error: 0.7612, scimark_benchmark: 1759.9521, usercpu_time_millis: 698.162, usercpu_time_millis_testing: 4.65, usercpu_time_millis_training: 693.512,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8461, f_measure: 0.7788, kappa: 0.5537, kb_relative_information_score: 1364.948, mean_absolute_error: 0.3332, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7799, predictive_accuracy: 0.7798, prior_entropy: 0.9948, recall: 0.7798, relative_absolute_error: 0.6711, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3987, root_relative_squared_error: 0.8003, scimark_benchmark: 1878.2059, usercpu_time_millis: 610.937, usercpu_time_millis_testing: 1.022, usercpu_time_millis_training: 609.915,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8729, f_measure: 0.8011, kappa: 0.599, kb_relative_information_score: 1353.5487, mean_absolute_error: 0.3371, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8012, predictive_accuracy: 0.8014, prior_entropy: 0.9948, recall: 0.8014, relative_absolute_error: 0.679, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3882, root_relative_squared_error: 0.7792, scimark_benchmark: 1728.4686, usercpu_time_millis: 503.122, usercpu_time_millis_testing: 4.783, usercpu_time_millis_training: 498.339,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8683, f_measure: 0.7998, kappa: 0.5962, kb_relative_information_score: 1436.999, mean_absolute_error: 0.3252, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8002, predictive_accuracy: 0.8003, prior_entropy: 0.9948, recall: 0.8003, relative_absolute_error: 0.6551, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3861, root_relative_squared_error: 0.7749, scimark_benchmark: 1733.3606, usercpu_time_millis: 363.587, usercpu_time_millis_testing: 2.112, usercpu_time_millis_training: 361.475,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8671, f_measure: 0.8007, kappa: 0.5981, kb_relative_information_score: 1313.9591, mean_absolute_error: 0.3422, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8009, predictive_accuracy: 0.8011, prior_entropy: 0.9948, recall: 0.8011, relative_absolute_error: 0.6892, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3921, root_relative_squared_error: 0.7869, scimark_benchmark: 1711.2633, usercpu_time_millis: 178.67, usercpu_time_millis_testing: 2.23, usercpu_time_millis_training: 176.44,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.869, f_measure: 0.8012, kappa: 0.599, kb_relative_information_score: 1331.5037, mean_absolute_error: 0.3399, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8015, predictive_accuracy: 0.8017, prior_entropy: 0.9948, recall: 0.8017, relative_absolute_error: 0.6847, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3905, root_relative_squared_error: 0.7837, scimark_benchmark: 1736.9559, usercpu_time_millis: 198.866, usercpu_time_millis_testing: 3.082, usercpu_time_millis_training: 195.784,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.822, f_measure: 0.7465, kappa: 0.4891, kb_relative_information_score: 1224.0689, mean_absolute_error: 0.3526, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7524, predictive_accuracy: 0.7497, prior_entropy: 0.9948, recall: 0.7497, relative_absolute_error: 0.7102, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4145, root_relative_squared_error: 0.832, scimark_benchmark: 1730.1287, usercpu_time_millis: 232.055, usercpu_time_millis_testing: 0.777, usercpu_time_millis_training: 231.278,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8657, f_measure: 0.7932, kappa: 0.5829, kb_relative_information_score: 1215.905, mean_absolute_error: 0.3554, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7934, predictive_accuracy: 0.7937, prior_entropy: 0.9948, recall: 0.7937, relative_absolute_error: 0.7159, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3975, root_relative_squared_error: 0.7979, scimark_benchmark: 1738.0778, usercpu_time_millis: 157.451, usercpu_time_millis_testing: 5.009, usercpu_time_millis_training: 152.442,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.858, f_measure: 0.7882, kappa: 0.5729, kb_relative_information_score: 1183.4239, mean_absolute_error: 0.3592, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7883, predictive_accuracy: 0.7886, prior_entropy: 0.9948, recall: 0.7886, relative_absolute_error: 0.7236, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4015, root_relative_squared_error: 0.8059, scimark_benchmark: 738.6807, usercpu_time_millis: 114.686, usercpu_time_millis_testing: 3.468, usercpu_time_millis_training: 111.218,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8602, f_measure: 0.7972, kappa: 0.591, kb_relative_information_score: 1446.4732, mean_absolute_error: 0.3228, 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: 0.6502, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3897, root_relative_squared_error: 0.7823, scimark_benchmark: 1769.5382, usercpu_time_millis: 143.867, usercpu_time_millis_testing: 0.862, usercpu_time_millis_training: 143.005,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8454, f_measure: 0.7739, kappa: 0.5442, kb_relative_information_score: 1082.5393, mean_absolute_error: 0.3721, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7739, predictive_accuracy: 0.7742, prior_entropy: 0.9948, recall: 0.7742, relative_absolute_error: 0.7495, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4102, root_relative_squared_error: 0.8234, scimark_benchmark: 1715.5791, usercpu_time_millis: 108.713, usercpu_time_millis_testing: 1.718, usercpu_time_millis_training: 106.995,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8498, f_measure: 0.7777, kappa: 0.5517, kb_relative_information_score: 1109.1947, mean_absolute_error: 0.3688, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7779, predictive_accuracy: 0.7782, prior_entropy: 0.9948, recall: 0.7782, relative_absolute_error: 0.743, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4076, root_relative_squared_error: 0.8181, scimark_benchmark: 1728.4686, usercpu_time_millis: 82.552, usercpu_time_millis_testing: 2.389, usercpu_time_millis_training: 80.163,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8522, f_measure: 0.7768, kappa: 0.5496, kb_relative_information_score: 1057.4831, mean_absolute_error: 0.3758, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7771, predictive_accuracy: 0.7774, prior_entropy: 0.9948, recall: 0.7774, relative_absolute_error: 0.757, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4098, root_relative_squared_error: 0.8226, scimark_benchmark: 1725.3999, usercpu_time_millis: 85.203, usercpu_time_millis_testing: 4.275, usercpu_time_millis_training: 80.928,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.846, f_measure: 0.7795, kappa: 0.5551, kb_relative_information_score: 1332.515, mean_absolute_error: 0.3378, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7803, predictive_accuracy: 0.7803, prior_entropy: 0.9948, recall: 0.7803, relative_absolute_error: 0.6804, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3995, root_relative_squared_error: 0.8019, scimark_benchmark: 1725.723, usercpu_time_millis: 155.235, usercpu_time_millis_testing: 0.81, usercpu_time_millis_training: 154.425,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7672, f_measure: 0.6707, kappa: 0.3473, kb_relative_information_score: 269.8777, mean_absolute_error: 0.4694, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7009, predictive_accuracy: 0.6854, prior_entropy: 0.9948, recall: 0.6854, relative_absolute_error: 0.9456, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.474, root_relative_squared_error: 0.9514, scimark_benchmark: 1718.2275, usercpu_time_millis: 14.35, usercpu_time_millis_testing: 1.208, usercpu_time_millis_training: 13.142,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8132, f_measure: 0.7337, kappa: 0.463, kb_relative_information_score: 732.6473, mean_absolute_error: 0.4163, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7337, predictive_accuracy: 0.7342, prior_entropy: 0.9948, recall: 0.7342, relative_absolute_error: 0.8386, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4363, root_relative_squared_error: 0.8758, scimark_benchmark: 1737.9082, usercpu_time_millis: 59.445, usercpu_time_millis_testing: 2.098, usercpu_time_millis_training: 57.347,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8651, f_measure: 0.8002, kappa: 0.597, kb_relative_information_score: 1529.8125, mean_absolute_error: 0.311, 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: 0.6266, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3854, root_relative_squared_error: 0.7735, scimark_benchmark: 1738.3274, usercpu_time_millis: 56.993, usercpu_time_millis_testing: 0.756, usercpu_time_millis_training: 56.237,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8519, f_measure: 0.7821, kappa: 0.5604, kb_relative_information_score: 1125.1072, mean_absolute_error: 0.3668, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7825, predictive_accuracy: 0.7827, prior_entropy: 0.9948, recall: 0.7827, relative_absolute_error: 0.7389, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4062, root_relative_squared_error: 0.8152, scimark_benchmark: 1733.299, usercpu_time_millis: 70.125, usercpu_time_millis_testing: 2.22, usercpu_time_millis_training: 67.905,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.499, f_measure: 0.3813, kb_relative_information_score: -0.0391, 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: 1766.6031, usercpu_time_millis: 10.177, usercpu_time_millis_testing: 1.521, usercpu_time_millis_training: 8.656,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.868, f_measure: 0.7969, kappa: 0.5904, kb_relative_information_score: 1638.0307, mean_absolute_error: 0.2949, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7972, predictive_accuracy: 0.7974, prior_entropy: 0.9948, recall: 0.7974, relative_absolute_error: 0.5941, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3819, root_relative_squared_error: 0.7665, scimark_benchmark: 1362.1727, usercpu_time_millis: 15938.715, usercpu_time_millis_testing: 4.052, usercpu_time_millis_training: 15934.663,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8742, f_measure: 0.8034, kappa: 0.6035, kb_relative_information_score: 1662.2127, mean_absolute_error: 0.2923, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8036, predictive_accuracy: 0.8038, prior_entropy: 0.9948, recall: 0.8038, relative_absolute_error: 0.5888, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3773, root_relative_squared_error: 0.7574, scimark_benchmark: 1360.1114, usercpu_time_millis: 15765.21, usercpu_time_millis_testing: 6.402, usercpu_time_millis_training: 15758.808,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.876, f_measure: 0.8065, kappa: 0.6098, kb_relative_information_score: 1686.6868, mean_absolute_error: 0.289, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8068, predictive_accuracy: 0.807, prior_entropy: 0.9948, recall: 0.807, relative_absolute_error: 0.5822, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3757, root_relative_squared_error: 0.7541, scimark_benchmark: 1359.129, usercpu_time_millis: 13539.365, usercpu_time_millis_testing: 5.417, usercpu_time_millis_training: 13533.948,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8735, f_measure: 0.8044, kappa: 0.6054, kb_relative_information_score: 1649.7719, mean_absolute_error: 0.2943, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8047, predictive_accuracy: 0.8049, prior_entropy: 0.9948, recall: 0.8049, relative_absolute_error: 0.5928, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3777, root_relative_squared_error: 0.7582, scimark_benchmark: 1714.9855, usercpu_time_millis: 13059.566, usercpu_time_millis_testing: 5.064, usercpu_time_millis_training: 13054.502,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8616, f_measure: 0.7917, kappa: 0.5798, kb_relative_information_score: 1531.0482, mean_absolute_error: 0.3107, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7922, predictive_accuracy: 0.7923, prior_entropy: 0.9948, recall: 0.7923, relative_absolute_error: 0.6258, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3868, root_relative_squared_error: 0.7763, scimark_benchmark: 1363.0723, usercpu_time_millis: 7332.162, usercpu_time_millis_testing: 3.093, usercpu_time_millis_training: 7329.069,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8809, f_measure: 0.8109, kappa: 0.6187, kb_relative_information_score: 1694.0771, mean_absolute_error: 0.2886, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8111, predictive_accuracy: 0.8113, prior_entropy: 0.9948, recall: 0.8113, relative_absolute_error: 0.5813, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3722, root_relative_squared_error: 0.747, scimark_benchmark: 1361.9354, usercpu_time_millis: 7393.508, usercpu_time_millis_testing: 6.332, usercpu_time_millis_training: 7387.176,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8687, f_measure: 0.7988, kappa: 0.5941, kb_relative_information_score: 1566.8063, mean_absolute_error: 0.3061, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7991, predictive_accuracy: 0.7993, prior_entropy: 0.9948, recall: 0.7993, relative_absolute_error: 0.6166, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3822, root_relative_squared_error: 0.7671, scimark_benchmark: 1359.6934, usercpu_time_millis: 7516.315, usercpu_time_millis_testing: 4.352, usercpu_time_millis_training: 7511.963,
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable).
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8446, f_measure: 0.7783, kappa: 0.5527, kb_relative_information_score: 1373.548, mean_absolute_error: 0.3321, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7784, predictive_accuracy: 0.7787, prior_entropy: 0.9948, recall: 0.7787, relative_absolute_error: 0.669, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.399, root_relative_squared_error: 0.8009, scimark_benchmark: 1358.2346, usercpu_time_millis: 4207.741, usercpu_time_millis_testing: 4.007, usercpu_time_millis_training: 4203.734,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.875, f_measure: 0.8051, kappa: 0.6069, kb_relative_information_score: 1717.4375, mean_absolute_error: 0.284, 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: 0.5721, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3763, root_relative_squared_error: 0.7553, scimark_benchmark: 1363.5505, usercpu_time_millis: 18189.285, usercpu_time_millis_testing: 4.721, usercpu_time_millis_training: 18184.564,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8724, f_measure: 0.8014, kappa: 0.5994, kb_relative_information_score: 1609.304, mean_absolute_error: 0.3003, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8018, predictive_accuracy: 0.8019, prior_entropy: 0.9948, recall: 0.8019, relative_absolute_error: 0.605, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.379, root_relative_squared_error: 0.7607, scimark_benchmark: 1845.7061, usercpu_time_millis: 4986.533, usercpu_time_millis_testing: 3.562, usercpu_time_millis_training: 4982.971,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.865, f_measure: 0.7961, kappa: 0.5887, kb_relative_information_score: 1539.6196, mean_absolute_error: 0.3096, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7964, predictive_accuracy: 0.7966, prior_entropy: 0.9948, recall: 0.7966, relative_absolute_error: 0.6237, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3848, root_relative_squared_error: 0.7725, scimark_benchmark: 1752.7061, usercpu_time_millis: 4628.307, usercpu_time_millis_testing: 2.337, usercpu_time_millis_training: 4625.97,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8735, f_measure: 0.8047, kappa: 0.606, kb_relative_information_score: 1600.0684, mean_absolute_error: 0.3018, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.805, predictive_accuracy: 0.8051, prior_entropy: 0.9948, recall: 0.8051, relative_absolute_error: 0.6079, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3787, root_relative_squared_error: 0.7601, scimark_benchmark: 2124.6658, usercpu_time_millis: 2138.591, usercpu_time_millis_testing: 2.095, usercpu_time_millis_training: 2136.496,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8644, f_measure: 0.7959, kappa: 0.5882, kb_relative_information_score: 1584.6525, mean_absolute_error: 0.3023, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7961, predictive_accuracy: 0.7963, prior_entropy: 0.9948, recall: 0.7963, relative_absolute_error: 0.6089, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.385, root_relative_squared_error: 0.7727, scimark_benchmark: 1853.9121, usercpu_time_millis: 11717.49, usercpu_time_millis_testing: 3.936, usercpu_time_millis_training: 11713.554,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8304, f_measure: 0.7577, kappa: 0.511, kb_relative_information_score: 1298.6592, mean_absolute_error: 0.3411, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7591, predictive_accuracy: 0.759, prior_entropy: 0.9948, recall: 0.759, relative_absolute_error: 0.6871, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4084, root_relative_squared_error: 0.8197, scimark_benchmark: 1754.5229, usercpu_time_millis: 2942.556, usercpu_time_millis_testing: 2.756, usercpu_time_millis_training: 2939.8,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8769, f_measure: 0.81, kappa: 0.6167, kb_relative_information_score: 1541.2169, mean_absolute_error: 0.3109, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8103, predictive_accuracy: 0.8105, prior_entropy: 0.9948, recall: 0.8105, relative_absolute_error: 0.6263, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3784, root_relative_squared_error: 0.7596, scimark_benchmark: 2121.2879, usercpu_time_millis: 621.179, usercpu_time_millis_testing: 2.539, usercpu_time_millis_training: 618.64,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8005, f_measure: 0.7177, kappa: 0.4304, kb_relative_information_score: 629.1689, mean_absolute_error: 0.4288, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7181, predictive_accuracy: 0.7187, prior_entropy: 0.9948, recall: 0.7187, relative_absolute_error: 0.8639, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4447, root_relative_squared_error: 0.8925, scimark_benchmark: 1364.5744, usercpu_time_millis: 54.154, usercpu_time_millis_testing: 2.155, usercpu_time_millis_training: 51.999,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8625, f_measure: 0.7902, kappa: 0.5768, kb_relative_information_score: 1530.0557, mean_absolute_error: 0.3108, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7905, predictive_accuracy: 0.7907, prior_entropy: 0.9948, recall: 0.7907, relative_absolute_error: 0.6261, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3864, root_relative_squared_error: 0.7755, scimark_benchmark: 1718.188, usercpu_time_millis: 2645.336, usercpu_time_millis_testing: 1.968, usercpu_time_millis_training: 2643.368,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8549, f_measure: 0.7845, kappa: 0.5653, kb_relative_information_score: 1310.4303, mean_absolute_error: 0.3419, 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: 0.6888, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3963, root_relative_squared_error: 0.7955, scimark_benchmark: 1756.2556, usercpu_time_millis: 383.26, usercpu_time_millis_testing: 2.821, usercpu_time_millis_training: 380.439,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8486, f_measure: 0.7813, kappa: 0.5587, kb_relative_information_score: 1332.3465, mean_absolute_error: 0.3382, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7823, predictive_accuracy: 0.7822, prior_entropy: 0.9948, recall: 0.7822, relative_absolute_error: 0.6812, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3983, root_relative_squared_error: 0.7994, scimark_benchmark: 1359.7599, usercpu_time_millis: 3084.19, usercpu_time_millis_testing: 4.566, usercpu_time_millis_training: 3079.624,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8686, f_measure: 0.8015, kappa: 0.5996, kb_relative_information_score: 1518.345, mean_absolute_error: 0.3133, 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: 0.6311, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3835, root_relative_squared_error: 0.7697, scimark_benchmark: 1737.4425, usercpu_time_millis: 183.081, usercpu_time_millis_testing: 1.035, usercpu_time_millis_training: 182.046,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.791, f_measure: 0.7214, kappa: 0.4379, kb_relative_information_score: 443.9302, mean_absolute_error: 0.4506, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7237, predictive_accuracy: 0.7235, prior_entropy: 0.9948, recall: 0.7235, relative_absolute_error: 0.9076, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4596, root_relative_squared_error: 0.9224, scimark_benchmark: 1755.8139, usercpu_time_millis: 30.739, usercpu_time_millis_testing: 1.294, usercpu_time_millis_training: 29.445,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8783, f_measure: 0.8091, kappa: 0.615, kb_relative_information_score: 1742.457, mean_absolute_error: 0.2806, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8092, predictive_accuracy: 0.8094, prior_entropy: 0.9948, recall: 0.8094, relative_absolute_error: 0.5653, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3736, root_relative_squared_error: 0.7499, scimark_benchmark: 1854.4951, usercpu_time_millis: 2186.462, usercpu_time_millis_testing: 1.79, usercpu_time_millis_training: 2184.672,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4998, f_measure: 0.3813, kb_relative_information_score: -0.1685, 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: 1360.2285, usercpu_time_millis: 6.968, usercpu_time_millis_testing: 1.183, usercpu_time_millis_training: 5.785,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8581, f_measure: 0.7883, kappa: 0.573, kb_relative_information_score: 1472.1357, mean_absolute_error: 0.3191, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7887, predictive_accuracy: 0.7889, prior_entropy: 0.9948, recall: 0.7889, relative_absolute_error: 0.6427, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.39, root_relative_squared_error: 0.7828, scimark_benchmark: 1362.4389, usercpu_time_millis: 5477.892, usercpu_time_millis_testing: 4.628, usercpu_time_millis_training: 5473.264,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8115, f_measure: 0.7445, kappa: 0.4851, kb_relative_information_score: 1202.2363, mean_absolute_error: 0.3557, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7508, predictive_accuracy: 0.7478, prior_entropy: 0.9948, recall: 0.7478, relative_absolute_error: 0.7164, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4175, root_relative_squared_error: 0.838, scimark_benchmark: 1356.4757, usercpu_time_millis: 387.79, usercpu_time_millis_testing: 1.149, usercpu_time_millis_training: 386.641,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8396, f_measure: 0.7711, kappa: 0.5381, kb_relative_information_score: 1106.9618, mean_absolute_error: 0.3689, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7716, predictive_accuracy: 0.7718, prior_entropy: 0.9948, recall: 0.7718, relative_absolute_error: 0.743, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4102, root_relative_squared_error: 0.8233, scimark_benchmark: 1360.2428, usercpu_time_millis: 512.44, usercpu_time_millis_testing: 3.508, usercpu_time_millis_training: 508.932,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8785, f_measure: 0.8103, kappa: 0.6175, kb_relative_information_score: 1663.957, mean_absolute_error: 0.2928, 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: 0.5898, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3743, root_relative_squared_error: 0.7513, scimark_benchmark: 1363.1556, usercpu_time_millis: 9817.191, usercpu_time_millis_testing: 7.657, usercpu_time_millis_training: 9809.534,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8274, f_measure: 0.7633, kappa: 0.5227, kb_relative_information_score: 1252.8985, mean_absolute_error: 0.3474, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7634, predictive_accuracy: 0.7638, prior_entropy: 0.9948, recall: 0.7638, relative_absolute_error: 0.6997, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4101, root_relative_squared_error: 0.8232, scimark_benchmark: 1850.2875, usercpu_time_millis: 598.157, usercpu_time_millis_testing: 1.868, usercpu_time_millis_training: 596.289,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.875, f_measure: 0.8047, kappa: 0.606, kb_relative_information_score: 1680.5041, mean_absolute_error: 0.2895, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.805, predictive_accuracy: 0.8051, prior_entropy: 0.9948, recall: 0.8051, relative_absolute_error: 0.5832, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3766, root_relative_squared_error: 0.7559, scimark_benchmark: 1358.0495, usercpu_time_millis: 3024.444, usercpu_time_millis_testing: 1.748, usercpu_time_millis_training: 3022.696,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7781, f_measure: 0.7372, kappa: 0.4719, kb_relative_information_score: 892.7376, mean_absolute_error: 0.3976, 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: 0.8009, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.438, root_relative_squared_error: 0.8792, scimark_benchmark: 1359.9971, usercpu_time_millis: 130.508, usercpu_time_millis_testing: 1.261, usercpu_time_millis_training: 129.247,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8567, f_measure: 0.786, kappa: 0.5683, kb_relative_information_score: 1478.9764, mean_absolute_error: 0.3175, 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: 0.6395, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3907, root_relative_squared_error: 0.7841, scimark_benchmark: 1757.8345, usercpu_time_millis: 8368.924, usercpu_time_millis_testing: 3.655, usercpu_time_millis_training: 8365.269,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8787, f_measure: 0.8091, kappa: 0.615, kb_relative_information_score: 1727.9789, mean_absolute_error: 0.283, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8092, predictive_accuracy: 0.8094, prior_entropy: 0.9948, recall: 0.8094, relative_absolute_error: 0.57, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3733, root_relative_squared_error: 0.7494, scimark_benchmark: 1364.7493, usercpu_time_millis: 6571.729, usercpu_time_millis_testing: 3.658, usercpu_time_millis_training: 6568.071,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8707, f_measure: 0.8021, kappa: 0.6008, kb_relative_information_score: 1562.8169, mean_absolute_error: 0.3067, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8023, predictive_accuracy: 0.8025, prior_entropy: 0.9948, recall: 0.8025, relative_absolute_error: 0.6178, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3813, root_relative_squared_error: 0.7654, scimark_benchmark: 1359.4953, usercpu_time_millis: 6904.524, usercpu_time_millis_testing: 5.537, usercpu_time_millis_training: 6898.987,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4994, f_measure: 0.3813, kb_relative_information_score: -0.1708, 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: 1850.2875, usercpu_time_millis: 9.051, usercpu_time_millis_testing: 1.451, usercpu_time_millis_training: 7.6,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.876, f_measure: 0.8079, kappa: 0.6125, kb_relative_information_score: 1555.9691, mean_absolute_error: 0.3088, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8082, predictive_accuracy: 0.8083, prior_entropy: 0.9948, recall: 0.8083, relative_absolute_error: 0.622, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3783, root_relative_squared_error: 0.7594, scimark_benchmark: 1358.2924, usercpu_time_millis: 3213.768, usercpu_time_millis_testing: 5.559, usercpu_time_millis_training: 3208.209,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8581, f_measure: 0.7904, kappa: 0.5772, kb_relative_information_score: 1467.4534, mean_absolute_error: 0.3194, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7908, predictive_accuracy: 0.791, prior_entropy: 0.9948, recall: 0.791, relative_absolute_error: 0.6433, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3902, root_relative_squared_error: 0.7832, scimark_benchmark: 1362.0013, usercpu_time_millis: 5263.946, usercpu_time_millis_testing: 3.899, usercpu_time_millis_training: 5260.047,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8527, f_measure: 0.7859, kappa: 0.5682, kb_relative_information_score: 1450.9159, mean_absolute_error: 0.3208, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7859, predictive_accuracy: 0.7862, prior_entropy: 0.9948, recall: 0.7862, relative_absolute_error: 0.6463, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3937, root_relative_squared_error: 0.7903, scimark_benchmark: 1364.0368, usercpu_time_millis: 156.025, usercpu_time_millis_testing: 0.969, usercpu_time_millis_training: 155.056,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8679, f_measure: 0.7998, kappa: 0.5962, kb_relative_information_score: 1550.1896, mean_absolute_error: 0.3087, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8002, predictive_accuracy: 0.8003, prior_entropy: 0.9948, recall: 0.8003, relative_absolute_error: 0.6218, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3829, root_relative_squared_error: 0.7685, scimark_benchmark: 1364.7558, usercpu_time_millis: 8015.508, usercpu_time_millis_testing: 4.361, usercpu_time_millis_training: 8011.147,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8652, f_measure: 0.7966, kappa: 0.5897, kb_relative_information_score: 1399.0998, mean_absolute_error: 0.3302, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.797, predictive_accuracy: 0.7971, prior_entropy: 0.9948, recall: 0.7971, relative_absolute_error: 0.6651, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3889, root_relative_squared_error: 0.7805, scimark_benchmark: 1358.0832, usercpu_time_millis: 1242.04, usercpu_time_millis_testing: 4.304, usercpu_time_millis_training: 1237.736,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8751, f_measure: 0.8057, kappa: 0.608, kb_relative_information_score: 1632.5682, mean_absolute_error: 0.2972, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8061, predictive_accuracy: 0.8062, prior_entropy: 0.9948, recall: 0.8062, relative_absolute_error: 0.5987, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.377, root_relative_squared_error: 0.7566, scimark_benchmark: 1848.7304, usercpu_time_millis: 3387.741, usercpu_time_millis_testing: 2.887, usercpu_time_millis_training: 3384.854,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.3813, kb_relative_information_score: -0.045, 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: 1346.804, usercpu_time_millis: 8.781, usercpu_time_millis_testing: 1.649, usercpu_time_millis_training: 7.132,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7935, f_measure: 0.7372, kappa: 0.4719, kb_relative_information_score: 922.4336, mean_absolute_error: 0.3938, 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: 0.7932, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4351, root_relative_squared_error: 0.8734, scimark_benchmark: 1362.6168, usercpu_time_millis: 257.347, usercpu_time_millis_testing: 1.6, usercpu_time_millis_training: 255.747,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7851, f_measure: 0.7372, kappa: 0.4703, kb_relative_information_score: 1224.0966, mean_absolute_error: 0.3476, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7371, predictive_accuracy: 0.7374, prior_entropy: 0.9948, recall: 0.7374, relative_absolute_error: 0.7001, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.435, root_relative_squared_error: 0.8732, scimark_benchmark: 1363.1924, usercpu_time_millis: 7.537, usercpu_time_millis_testing: 0.961, usercpu_time_millis_training: 6.576,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8746, f_measure: 0.8058, kappa: 0.6084, kb_relative_information_score: 1605.2151, mean_absolute_error: 0.3013, 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: 0.607, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3778, root_relative_squared_error: 0.7583, scimark_benchmark: 1360.3886, usercpu_time_millis: 4311.418, usercpu_time_millis_testing: 3.629, usercpu_time_millis_training: 4307.789,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.838, f_measure: 0.7712, kappa: 0.5382, kb_relative_information_score: 1321.2597, mean_absolute_error: 0.3385, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7725, predictive_accuracy: 0.7723, prior_entropy: 0.9948, recall: 0.7723, relative_absolute_error: 0.6818, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.404, root_relative_squared_error: 0.8109, scimark_benchmark: 1842.6679, usercpu_time_millis: 2628.731, usercpu_time_millis_testing: 2.542, usercpu_time_millis_training: 2626.189,

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