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: 0.8782, f_measure: 0.8092, kappa: 0.6152, kb_relative_information_score: 1607.7535, mean_absolute_error: 0.3012, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8095, predictive_accuracy: 0.8097, prior_entropy: 0.9948, recall: 0.8097, relative_absolute_error: 0.6068, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3758, root_relative_squared_error: 0.7543, scimark_benchmark: 1806.3762, usercpu_time_millis: 2712.466, usercpu_time_millis_testing: 4.835, usercpu_time_millis_training: 2707.631,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8762, f_measure: 0.8079, kappa: 0.6126, kb_relative_information_score: 1677.4024, mean_absolute_error: 0.2905, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8081, predictive_accuracy: 0.8083, prior_entropy: 0.9948, recall: 0.8083, relative_absolute_error: 0.5852, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3756, root_relative_squared_error: 0.754, scimark_benchmark: 1759.8214, usercpu_time_millis: 1940.863, usercpu_time_millis_testing: 1.808, usercpu_time_millis_training: 1939.055,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8412, f_measure: 0.7715, kappa: 0.539, kb_relative_information_score: 1346.5263, mean_absolute_error: 0.3348, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7733, predictive_accuracy: 0.7729, prior_entropy: 0.9948, recall: 0.7729, relative_absolute_error: 0.6744, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4022, root_relative_squared_error: 0.8074, scimark_benchmark: 1800.1447, usercpu_time_millis: 1859.554, usercpu_time_millis_testing: 1.828, usercpu_time_millis_training: 1857.726,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8663, f_measure: 0.7971, kappa: 0.5908, kb_relative_information_score: 1523.7452, mean_absolute_error: 0.3124, 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: 0.6293, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3844, root_relative_squared_error: 0.7716, scimark_benchmark: 2097.2423, usercpu_time_millis: 1837.051, usercpu_time_millis_testing: 1.96, usercpu_time_millis_training: 1835.091,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.849, f_measure: 0.7817, kappa: 0.5598, kb_relative_information_score: 1414.6445, mean_absolute_error: 0.3264, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7819, predictive_accuracy: 0.7822, prior_entropy: 0.9948, recall: 0.7822, relative_absolute_error: 0.6574, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3961, root_relative_squared_error: 0.795, scimark_benchmark: 1718.3061, usercpu_time_millis: 1749.082, usercpu_time_millis_testing: 2.194, usercpu_time_millis_training: 1746.888,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8377, f_measure: 0.7731, kappa: 0.5421, kb_relative_information_score: 1270.5344, mean_absolute_error: 0.3462, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7738, predictive_accuracy: 0.7739, prior_entropy: 0.9948, recall: 0.7739, relative_absolute_error: 0.6973, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4047, root_relative_squared_error: 0.8124, scimark_benchmark: 1801.6523, usercpu_time_millis: 548.785, usercpu_time_millis_testing: 1.415, usercpu_time_millis_training: 547.37,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8057, f_measure: 0.7471, kappa: 0.4903, kb_relative_information_score: 1187.352, mean_absolute_error: 0.3581, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7529, predictive_accuracy: 0.7502, prior_entropy: 0.9948, recall: 0.7502, relative_absolute_error: 0.7213, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4199, root_relative_squared_error: 0.8428, scimark_benchmark: 1809.8299, usercpu_time_millis: 427.918, usercpu_time_millis_testing: 1.016, usercpu_time_millis_training: 426.902,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8759, f_measure: 0.806, kappa: 0.6087, kb_relative_information_score: 1647.4701, mean_absolute_error: 0.2951, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8063, predictive_accuracy: 0.8065, prior_entropy: 0.9948, recall: 0.8065, relative_absolute_error: 0.5944, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3761, root_relative_squared_error: 0.7549, scimark_benchmark: 1741.5337, usercpu_time_millis: 7865.194, usercpu_time_millis_testing: 4.022, usercpu_time_millis_training: 7861.172,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8575, f_measure: 0.7914, kappa: 0.5793, kb_relative_information_score: 1276.5545, mean_absolute_error: 0.3467, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7915, predictive_accuracy: 0.7918, prior_entropy: 0.9948, recall: 0.7918, relative_absolute_error: 0.6985, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3971, root_relative_squared_error: 0.797, scimark_benchmark: 1802.0225, usercpu_time_millis: 66.064, usercpu_time_millis_testing: 1.348, usercpu_time_millis_training: 64.716,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8282, f_measure: 0.756, kappa: 0.5077, kb_relative_information_score: 1079.3537, mean_absolute_error: 0.3728, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.757, predictive_accuracy: 0.7571, prior_entropy: 0.9948, recall: 0.7571, relative_absolute_error: 0.7509, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4144, root_relative_squared_error: 0.8318, scimark_benchmark: 1801.8608, usercpu_time_millis: 32.379, usercpu_time_millis_testing: 0.736, usercpu_time_millis_training: 31.643,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8696, f_measure: 0.8015, kappa: 0.5996, kb_relative_information_score: 1558.2325, mean_absolute_error: 0.3076, 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: 0.6197, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3818, root_relative_squared_error: 0.7663, scimark_benchmark: 1836.1651, usercpu_time_millis: 2719.97, usercpu_time_millis_testing: 2.874, usercpu_time_millis_training: 2717.096,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8447, f_measure: 0.7788, kappa: 0.5538, kb_relative_information_score: 1397.7624, mean_absolute_error: 0.3284, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.779, predictive_accuracy: 0.7793, prior_entropy: 0.9948, recall: 0.7793, relative_absolute_error: 0.6616, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3985, root_relative_squared_error: 0.7999, scimark_benchmark: 1744.4467, usercpu_time_millis: 754.574, usercpu_time_millis_testing: 1.582, usercpu_time_millis_training: 752.992,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5002, f_measure: 0.3813, kb_relative_information_score: 0.1506, 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: 1837.6751, usercpu_time_millis: 4.904, usercpu_time_millis_testing: 0.724, usercpu_time_millis_training: 4.18,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8695, f_measure: 0.7979, kappa: 0.5923, kb_relative_information_score: 1612.362, mean_absolute_error: 0.2994, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7983, predictive_accuracy: 0.7985, prior_entropy: 0.9948, recall: 0.7985, relative_absolute_error: 0.603, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3809, root_relative_squared_error: 0.7645, scimark_benchmark: 1720.272, usercpu_time_millis: 9311.894, usercpu_time_millis_testing: 2.853, usercpu_time_millis_training: 9309.041,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.873, f_measure: 0.7991, kappa: 0.5948, kb_relative_information_score: 1664.6523, mean_absolute_error: 0.2919, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7993, predictive_accuracy: 0.7995, prior_entropy: 0.9948, recall: 0.7995, relative_absolute_error: 0.5879, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.378, root_relative_squared_error: 0.7587, scimark_benchmark: 1790.4667, usercpu_time_millis: 7074.289, usercpu_time_millis_testing: 3.102, usercpu_time_millis_training: 7071.187,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.872, f_measure: 0.803, kappa: 0.6026, kb_relative_information_score: 1552.3294, mean_absolute_error: 0.3088, 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: 0.6221, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3806, root_relative_squared_error: 0.7639, scimark_benchmark: 1737.8106, usercpu_time_millis: 7034.926, usercpu_time_millis_testing: 6.757, usercpu_time_millis_training: 7028.169,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8376, f_measure: 0.7615, kappa: 0.5187, kb_relative_information_score: 1334.584, mean_absolute_error: 0.3361, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7642, predictive_accuracy: 0.7633, prior_entropy: 0.9948, recall: 0.7633, relative_absolute_error: 0.6769, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4042, root_relative_squared_error: 0.8114, scimark_benchmark: 1753.9369, usercpu_time_millis: 1107.446, usercpu_time_millis_testing: 1.274, usercpu_time_millis_training: 1106.172,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8742, f_measure: 0.8042, kappa: 0.6052, kb_relative_information_score: 1569.5955, mean_absolute_error: 0.3062, 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: 0.6168, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3791, root_relative_squared_error: 0.761, scimark_benchmark: 1693.1698, usercpu_time_millis: 4748.485, usercpu_time_millis_testing: 6.946, usercpu_time_millis_training: 4741.539,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7885, f_measure: 0.7372, kappa: 0.4719, kb_relative_information_score: 873.8018, mean_absolute_error: 0.4001, 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: 0.8059, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4377, root_relative_squared_error: 0.8786, scimark_benchmark: 1761.0521, usercpu_time_millis: 190.725, usercpu_time_millis_testing: 1.376, usercpu_time_millis_training: 189.349,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.821, f_measure: 0.7548, kappa: 0.5057, kb_relative_information_score: 1190.9838, mean_absolute_error: 0.3571, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7547, predictive_accuracy: 0.755, prior_entropy: 0.9948, recall: 0.755, relative_absolute_error: 0.7194, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4147, root_relative_squared_error: 0.8324, scimark_benchmark: 1729.3292, usercpu_time_millis: 98.583, usercpu_time_millis_testing: 0.822, usercpu_time_millis_training: 97.761,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4988, f_measure: 0.3813, kb_relative_information_score: 0.0879, 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: 1697.4951, usercpu_time_millis: 12.637, usercpu_time_millis_testing: 2.026, usercpu_time_millis_training: 10.611,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8722, f_measure: 0.7996, kappa: 0.5957, kb_relative_information_score: 1640.9684, mean_absolute_error: 0.2954, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7999, predictive_accuracy: 0.8001, prior_entropy: 0.9948, recall: 0.8001, relative_absolute_error: 0.5951, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3787, root_relative_squared_error: 0.7601, scimark_benchmark: 1725.7816, usercpu_time_millis: 12413.181, usercpu_time_millis_testing: 4.729, usercpu_time_millis_training: 12408.452,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8749, f_measure: 0.805, kappa: 0.6066, kb_relative_information_score: 1691.8735, mean_absolute_error: 0.288, 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: 0.5802, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3764, root_relative_squared_error: 0.7556, scimark_benchmark: 1734.301, usercpu_time_millis: 6883.377, usercpu_time_millis_testing: 3.133, usercpu_time_millis_training: 6880.244,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8728, f_measure: 0.8009, kappa: 0.5984, kb_relative_information_score: 1631.7433, mean_absolute_error: 0.2969, 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: 0.5982, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3785, root_relative_squared_error: 0.7596, scimark_benchmark: 1739.9911, usercpu_time_millis: 6754.356, usercpu_time_millis_testing: 4.15, usercpu_time_millis_training: 6750.206,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8721, f_measure: 0.8004, kappa: 0.5973, kb_relative_information_score: 1603.0432, mean_absolute_error: 0.3012, 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: 0.6068, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3793, root_relative_squared_error: 0.7613, scimark_benchmark: 1782.526, usercpu_time_millis: 3671.463, usercpu_time_millis_testing: 2.576, usercpu_time_millis_training: 3668.887,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8505, f_measure: 0.7817, kappa: 0.5596, kb_relative_information_score: 1412.862, mean_absolute_error: 0.3269, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7819, predictive_accuracy: 0.7822, prior_entropy: 0.9948, recall: 0.7822, relative_absolute_error: 0.6584, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3953, root_relative_squared_error: 0.7934, scimark_benchmark: 1721.7423, usercpu_time_millis: 1290.947, usercpu_time_millis_testing: 2.211, usercpu_time_millis_training: 1288.736,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8606, f_measure: 0.7911, kappa: 0.5786, kb_relative_information_score: 1575.5591, mean_absolute_error: 0.303, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7913, predictive_accuracy: 0.7915, prior_entropy: 0.9948, recall: 0.7915, relative_absolute_error: 0.6103, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3877, root_relative_squared_error: 0.7781, scimark_benchmark: 1791.8239, usercpu_time_millis: 12751.318, usercpu_time_millis_testing: 4.156, usercpu_time_millis_training: 12747.162,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3813, kb_relative_information_score: -0.3737, 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: 1729.9785, usercpu_time_millis: 6.757, usercpu_time_millis_testing: 0.853, usercpu_time_millis_training: 5.904,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8587, f_measure: 0.7865, kappa: 0.5693, kb_relative_information_score: 1544.9202, mean_absolute_error: 0.3075, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7868, predictive_accuracy: 0.787, prior_entropy: 0.9948, recall: 0.787, relative_absolute_error: 0.6194, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.389, root_relative_squared_error: 0.7807, scimark_benchmark: 1790.478, usercpu_time_millis: 10950.175, usercpu_time_millis_testing: 3.856, usercpu_time_millis_training: 10946.319,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8721, f_measure: 0.8038, kappa: 0.6043, kb_relative_information_score: 1628.8559, mean_absolute_error: 0.2973, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8042, predictive_accuracy: 0.8043, prior_entropy: 0.9948, recall: 0.8043, relative_absolute_error: 0.5988, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.379, root_relative_squared_error: 0.7607, scimark_benchmark: 1784.4213, usercpu_time_millis: 1040.071, usercpu_time_millis_testing: 1.29, usercpu_time_millis_training: 1038.781,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8578, f_measure: 0.7911, kappa: 0.5787, kb_relative_information_score: 1376.3229, mean_absolute_error: 0.3327, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7913, predictive_accuracy: 0.7915, prior_entropy: 0.9948, recall: 0.7915, relative_absolute_error: 0.6701, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.393, root_relative_squared_error: 0.7887, scimark_benchmark: 1793.8979, usercpu_time_millis: 775.055, usercpu_time_millis_testing: 2.572, usercpu_time_millis_training: 772.483,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8774, f_measure: 0.8071, kappa: 0.6109, kb_relative_information_score: 1659.4209, mean_absolute_error: 0.2935, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8074, predictive_accuracy: 0.8075, prior_entropy: 0.9948, recall: 0.8075, relative_absolute_error: 0.5911, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.375, root_relative_squared_error: 0.7527, scimark_benchmark: 1710.4178, usercpu_time_millis: 7760.194, usercpu_time_millis_testing: 6.673, usercpu_time_millis_training: 7753.521,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8516, f_measure: 0.7811, kappa: 0.5585, kb_relative_information_score: 1422.7078, mean_absolute_error: 0.325, 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: 0.6546, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3948, root_relative_squared_error: 0.7925, scimark_benchmark: 1784.0854, usercpu_time_millis: 421.81, usercpu_time_millis_testing: 0.878, usercpu_time_millis_training: 420.932,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8647, f_measure: 0.7986, kappa: 0.5938, kb_relative_information_score: 1559.7852, mean_absolute_error: 0.3064, 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: 0.6172, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.385, root_relative_squared_error: 0.7727, scimark_benchmark: 1753.3157, usercpu_time_millis: 338.06, usercpu_time_millis_testing: 0.787, usercpu_time_millis_training: 337.273,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8366, f_measure: 0.771, kappa: 0.538, kb_relative_information_score: 1164.5858, mean_absolute_error: 0.361, 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: 0.7271, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4085, root_relative_squared_error: 0.8199, scimark_benchmark: 1733.4349, usercpu_time_millis: 305.767, usercpu_time_millis_testing: 1.311, usercpu_time_millis_training: 304.456,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.837, f_measure: 0.7707, kappa: 0.5374, kb_relative_information_score: 1233.4598, mean_absolute_error: 0.3518, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7719, predictive_accuracy: 0.7718, prior_entropy: 0.9948, recall: 0.7718, relative_absolute_error: 0.7086, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4058, root_relative_squared_error: 0.8146, scimark_benchmark: 1729.521, usercpu_time_millis: 217.772, usercpu_time_millis_testing: 0.907, usercpu_time_millis_training: 216.865,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8563, f_measure: 0.7812, kappa: 0.5588, kb_relative_information_score: 1084.6881, mean_absolute_error: 0.3725, 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: 0.7504, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4073, root_relative_squared_error: 0.8176, scimark_benchmark: 1058.5958, usercpu_time_millis: 169.794, usercpu_time_millis_testing: 5.123, usercpu_time_millis_training: 164.671,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7991, f_measure: 0.7134, kappa: 0.4216, kb_relative_information_score: 595.2072, mean_absolute_error: 0.4329, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7145, predictive_accuracy: 0.715, prior_entropy: 0.9948, recall: 0.715, relative_absolute_error: 0.872, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4471, root_relative_squared_error: 0.8974, scimark_benchmark: 1084.2884, usercpu_time_millis: 64.315, usercpu_time_millis_testing: 3.601, usercpu_time_millis_training: 60.714,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7865, f_measure: 0.6961, kappa: 0.3871, kb_relative_information_score: 503.0189, mean_absolute_error: 0.4436, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.699, predictive_accuracy: 0.699, prior_entropy: 0.9948, recall: 0.699, relative_absolute_error: 0.8936, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4548, root_relative_squared_error: 0.9129, scimark_benchmark: 1091.5582, usercpu_time_millis: 43.18, usercpu_time_millis_testing: 2.461, usercpu_time_millis_training: 40.719,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8246, f_measure: 0.7349, kappa: 0.4651, kb_relative_information_score: 758.5841, mean_absolute_error: 0.4135, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7357, predictive_accuracy: 0.7361, prior_entropy: 0.9948, recall: 0.7361, relative_absolute_error: 0.8329, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.433, root_relative_squared_error: 0.8692, scimark_benchmark: 1088.3967, usercpu_time_millis: 43.332, usercpu_time_millis_testing: 3.091, usercpu_time_millis_training: 40.241,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7991, f_measure: 0.708, kappa: 0.411, kb_relative_information_score: 550.7209, mean_absolute_error: 0.4382, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.711, predictive_accuracy: 0.7107, prior_entropy: 0.9948, recall: 0.7107, relative_absolute_error: 0.8827, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4503, root_relative_squared_error: 0.9039, scimark_benchmark: 1782.9388, usercpu_time_millis: 39.979, usercpu_time_millis_testing: 2.843, usercpu_time_millis_training: 37.136,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.774, f_measure: 0.6663, kappa: 0.3327, kb_relative_information_score: 349.5616, mean_absolute_error: 0.4609, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.6826, predictive_accuracy: 0.6764, prior_entropy: 0.9948, recall: 0.6764, relative_absolute_error: 0.9284, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4674, root_relative_squared_error: 0.9381, scimark_benchmark: 1070.0484, usercpu_time_millis: 20.452, usercpu_time_millis_testing: 2.261, usercpu_time_millis_training: 18.191,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8209, f_measure: 0.7292, kappa: 0.4535, kb_relative_information_score: 659.372, mean_absolute_error: 0.4257, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7305, predictive_accuracy: 0.7307, prior_entropy: 0.9948, recall: 0.7307, relative_absolute_error: 0.8575, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4405, root_relative_squared_error: 0.8842, scimark_benchmark: 1834.8102, usercpu_time_millis: 13.928, usercpu_time_millis_testing: 1.482, usercpu_time_millis_training: 12.446,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.787, f_measure: 0.6923, kappa: 0.38, kb_relative_information_score: 478.3332, mean_absolute_error: 0.4465, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.6973, predictive_accuracy: 0.6963, prior_entropy: 0.9948, recall: 0.6963, relative_absolute_error: 0.8994, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4566, root_relative_squared_error: 0.9165, scimark_benchmark: 1782.484, usercpu_time_millis: 22.656, usercpu_time_millis_testing: 1.712, usercpu_time_millis_training: 20.944,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7283, f_measure: 0.441, kappa: 0.0605, kb_relative_information_score: 107.3369, mean_absolute_error: 0.4861, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7042, predictive_accuracy: 0.5673, prior_entropy: 0.9948, recall: 0.5673, relative_absolute_error: 0.9792, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4884, root_relative_squared_error: 0.9804, scimark_benchmark: 1157.6528, usercpu_time_millis: 7.427, usercpu_time_millis_testing: 0.984, usercpu_time_millis_training: 6.443,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8667, f_measure: 0.7952, kappa: 0.587, kb_relative_information_score: 1209.9109, mean_absolute_error: 0.3565, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7953, predictive_accuracy: 0.7955, prior_entropy: 0.9948, recall: 0.7955, relative_absolute_error: 0.7181, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3977, root_relative_squared_error: 0.7982, scimark_benchmark: 1723.9844, usercpu_time_millis: 18.069, usercpu_time_millis_testing: 1.273, usercpu_time_millis_training: 16.796,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7885, f_measure: 0.7155, kappa: 0.4258, kb_relative_information_score: 644.1056, mean_absolute_error: 0.4263, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7167, predictive_accuracy: 0.7171, prior_entropy: 0.9948, recall: 0.7171, relative_absolute_error: 0.8587, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4452, root_relative_squared_error: 0.8936, scimark_benchmark: 1496.6408, usercpu_time_millis: 8.522, usercpu_time_millis_testing: 1.165, usercpu_time_millis_training: 7.357,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4994, f_measure: 0.3813, kb_relative_information_score: 0.0432, 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: 1788.4502, usercpu_time_millis: 11.508, usercpu_time_millis_testing: 1.525, usercpu_time_millis_training: 9.983,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.3813, kb_relative_information_score: -0.2037, 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: 1782.0491, usercpu_time_millis: 8.247, usercpu_time_millis_testing: 1.057, usercpu_time_millis_training: 7.19,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.881, f_measure: 0.8094, kappa: 0.6157, kb_relative_information_score: 1702.6735, mean_absolute_error: 0.2872, 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: 0.5784, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3721, root_relative_squared_error: 0.7469, scimark_benchmark: 1821.9895, usercpu_time_millis: 2041.864, usercpu_time_millis_testing: 4.322, usercpu_time_millis_training: 2037.542,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8515, f_measure: 0.7824, kappa: 0.5611, kb_relative_information_score: 1398.7242, mean_absolute_error: 0.3291, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7828, predictive_accuracy: 0.783, prior_entropy: 0.9948, recall: 0.783, relative_absolute_error: 0.6628, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3951, root_relative_squared_error: 0.793, scimark_benchmark: 1818.0075, usercpu_time_millis: 1805.771, usercpu_time_millis_testing: 3.508, usercpu_time_millis_training: 1802.263,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8361, f_measure: 0.7695, kappa: 0.5348, kb_relative_information_score: 1279.721, mean_absolute_error: 0.3448, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7711, predictive_accuracy: 0.7707, prior_entropy: 0.9948, recall: 0.7707, relative_absolute_error: 0.6946, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4055, root_relative_squared_error: 0.8138, scimark_benchmark: 1833.7106, usercpu_time_millis: 1268.665, usercpu_time_millis_testing: 1.708, usercpu_time_millis_training: 1266.957,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8781, f_measure: 0.8095, kappa: 0.6158, kb_relative_information_score: 1644.8553, mean_absolute_error: 0.2957, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8098, predictive_accuracy: 0.8099, prior_entropy: 0.9948, recall: 0.8099, relative_absolute_error: 0.5957, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3749, root_relative_squared_error: 0.7524, scimark_benchmark: 1706.088, usercpu_time_millis: 5242.038, usercpu_time_millis_testing: 6.56, usercpu_time_millis_training: 5235.478,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8721, f_measure: 0.8025, kappa: 0.6017, kb_relative_information_score: 1588.3059, mean_absolute_error: 0.3034, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8028, predictive_accuracy: 0.803, prior_entropy: 0.9948, recall: 0.803, relative_absolute_error: 0.6112, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3797, root_relative_squared_error: 0.7622, scimark_benchmark: 1807.956, usercpu_time_millis: 4296.906, usercpu_time_millis_testing: 3.942, usercpu_time_millis_training: 4292.964,
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable).
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8163, f_measure: 0.7543, kappa: 0.5047, kb_relative_information_score: 1309.2513, mean_absolute_error: 0.3399, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7596, predictive_accuracy: 0.7571, prior_entropy: 0.9948, recall: 0.7571, relative_absolute_error: 0.6847, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4134, root_relative_squared_error: 0.8297, scimark_benchmark: 1728.5338, usercpu_time_millis: 3933.846, usercpu_time_millis_testing: 2.181, usercpu_time_millis_training: 3931.665,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8667, f_measure: 0.7976, kappa: 0.5918, kb_relative_information_score: 1558.8775, mean_absolute_error: 0.3073, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7981, predictive_accuracy: 0.7982, prior_entropy: 0.9948, recall: 0.7982, relative_absolute_error: 0.619, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3833, root_relative_squared_error: 0.7693, scimark_benchmark: 1781.0458, usercpu_time_millis: 3706.086, usercpu_time_millis_testing: 2.83, usercpu_time_millis_training: 3703.256,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.87, f_measure: 0.8008, kappa: 0.5982, kb_relative_information_score: 1557.81, mean_absolute_error: 0.3078, 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: 0.6201, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3815, root_relative_squared_error: 0.7658, scimark_benchmark: 1776.4458, usercpu_time_millis: 3564.927, usercpu_time_millis_testing: 3.403, usercpu_time_millis_training: 3561.524,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8711, f_measure: 0.8034, kappa: 0.6033, kb_relative_information_score: 1560.2752, mean_absolute_error: 0.3075, 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: 0.6194, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3809, root_relative_squared_error: 0.7646, scimark_benchmark: 1735.6759, usercpu_time_millis: 1119.021, usercpu_time_millis_testing: 1.722, usercpu_time_millis_training: 1117.299,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8587, f_measure: 0.7878, kappa: 0.5719, kb_relative_information_score: 1406.8264, mean_absolute_error: 0.3286, 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: 0.662, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3914, root_relative_squared_error: 0.7857, scimark_benchmark: 1718.188, usercpu_time_millis: 952.099, usercpu_time_millis_testing: 3.191, usercpu_time_millis_training: 948.908,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8361, f_measure: 0.7678, kappa: 0.5314, kb_relative_information_score: 1220.932, mean_absolute_error: 0.3537, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7695, predictive_accuracy: 0.7691, prior_entropy: 0.9948, recall: 0.7691, relative_absolute_error: 0.7124, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4065, root_relative_squared_error: 0.816, scimark_benchmark: 1796.8051, usercpu_time_millis: 754.9, usercpu_time_millis_testing: 1.731, usercpu_time_millis_training: 753.169,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.871, f_measure: 0.8039, kappa: 0.6045, kb_relative_information_score: 1412.9741, mean_absolute_error: 0.3286, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8041, predictive_accuracy: 0.8043, prior_entropy: 0.9948, recall: 0.8043, relative_absolute_error: 0.6619, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3862, root_relative_squared_error: 0.7751, scimark_benchmark: 2126.8695, usercpu_time_millis: 604.948, usercpu_time_millis_testing: 3.551, usercpu_time_millis_training: 601.397,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8616, f_measure: 0.7932, kappa: 0.5828, kb_relative_information_score: 1436.4406, mean_absolute_error: 0.3246, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7935, predictive_accuracy: 0.7937, prior_entropy: 0.9948, recall: 0.7937, relative_absolute_error: 0.6539, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3891, root_relative_squared_error: 0.7811, scimark_benchmark: 2131.5205, usercpu_time_millis: 534.973, usercpu_time_millis_testing: 1.63, usercpu_time_millis_training: 533.343,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8695, f_measure: 0.8017, kappa: 0.5999, kb_relative_information_score: 1539.767, mean_absolute_error: 0.3104, 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: 0.6253, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3822, root_relative_squared_error: 0.7672, scimark_benchmark: 1852.9259, usercpu_time_millis: 2620.501, usercpu_time_millis_testing: 3.272, usercpu_time_millis_training: 2617.229,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8745, f_measure: 0.806, kappa: 0.6086, kb_relative_information_score: 1628.5907, mean_absolute_error: 0.2978, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8063, predictive_accuracy: 0.8065, prior_entropy: 0.9948, recall: 0.8065, relative_absolute_error: 0.5999, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3773, root_relative_squared_error: 0.7573, scimark_benchmark: 1896.4435, usercpu_time_millis: 2600.459, usercpu_time_millis_testing: 2.078, usercpu_time_millis_training: 2598.381,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8614, f_measure: 0.7916, kappa: 0.5796, kb_relative_information_score: 1220.817, mean_absolute_error: 0.3545, 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: 0.714, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3984, root_relative_squared_error: 0.7997, scimark_benchmark: 1760.8149, usercpu_time_millis: 132.039, usercpu_time_millis_testing: 3.107, usercpu_time_millis_training: 128.932,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8305, f_measure: 0.7609, kappa: 0.5179, kb_relative_information_score: 928.9765, mean_absolute_error: 0.3918, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7608, predictive_accuracy: 0.7611, prior_entropy: 0.9948, recall: 0.7611, relative_absolute_error: 0.7892, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4219, root_relative_squared_error: 0.8467, scimark_benchmark: 1845.3975, usercpu_time_millis: 95.29, usercpu_time_millis_testing: 2.443, usercpu_time_millis_training: 92.847,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8262, f_measure: 0.7561, kappa: 0.5083, kb_relative_information_score: 867.711, mean_absolute_error: 0.3997, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.756, predictive_accuracy: 0.7563, prior_entropy: 0.9948, recall: 0.7563, relative_absolute_error: 0.8051, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4262, root_relative_squared_error: 0.8555, scimark_benchmark: 1728.0046, usercpu_time_millis: 95.245, usercpu_time_millis_testing: 2.312, usercpu_time_millis_training: 92.933,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8594, f_measure: 0.7846, kappa: 0.5655, kb_relative_information_score: 1119.82, mean_absolute_error: 0.368, 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: 0.7412, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4045, root_relative_squared_error: 0.812, scimark_benchmark: 1743.2153, usercpu_time_millis: 59.364, usercpu_time_millis_testing: 3.793, usercpu_time_millis_training: 55.571,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8454, f_measure: 0.769, kappa: 0.534, kb_relative_information_score: 984.5909, mean_absolute_error: 0.3851, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7694, predictive_accuracy: 0.7697, prior_entropy: 0.9948, recall: 0.7697, relative_absolute_error: 0.7758, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4155, root_relative_squared_error: 0.834, scimark_benchmark: 1759.2439, usercpu_time_millis: 65.898, usercpu_time_millis_testing: 4.074, usercpu_time_millis_training: 61.824,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7532, f_measure: 0.6321, kappa: 0.2755, kb_relative_information_score: 227.7234, mean_absolute_error: 0.4738, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.6664, predictive_accuracy: 0.6521, prior_entropy: 0.9948, recall: 0.6521, relative_absolute_error: 0.9544, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4778, root_relative_squared_error: 0.959, scimark_benchmark: 1760.119, usercpu_time_millis: 20.971, usercpu_time_millis_testing: 2.124, usercpu_time_millis_training: 18.847,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8022, f_measure: 0.7297, kappa: 0.4546, kb_relative_information_score: 678.9605, mean_absolute_error: 0.4233, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7299, predictive_accuracy: 0.7305, prior_entropy: 0.9948, recall: 0.7305, relative_absolute_error: 0.8527, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4415, root_relative_squared_error: 0.8863, scimark_benchmark: 1798.2926, usercpu_time_millis: 35.567, usercpu_time_millis_testing: 1.039, usercpu_time_millis_training: 34.528,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7925, f_measure: 0.7144, kappa: 0.4236, kb_relative_information_score: 580.8755, mean_absolute_error: 0.4346, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7149, predictive_accuracy: 0.7155, prior_entropy: 0.9948, recall: 0.7155, relative_absolute_error: 0.8754, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4488, root_relative_squared_error: 0.9009, scimark_benchmark: 1847.8629, usercpu_time_millis: 23.571, usercpu_time_millis_testing: 1.158, usercpu_time_millis_training: 22.413,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8512, f_measure: 0.7797, kappa: 0.5556, kb_relative_information_score: 1047.1642, mean_absolute_error: 0.3772, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7801, predictive_accuracy: 0.7803, prior_entropy: 0.9948, recall: 0.7803, relative_absolute_error: 0.7598, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4106, root_relative_squared_error: 0.8242, scimark_benchmark: 1746.3705, usercpu_time_millis: 22.137, usercpu_time_millis_testing: 1.4, usercpu_time_millis_training: 20.737,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7593, f_measure: 0.6222, kappa: 0.2707, kb_relative_information_score: 200.578, mean_absolute_error: 0.4768, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.6849, predictive_accuracy: 0.6529, prior_entropy: 0.9948, recall: 0.6529, relative_absolute_error: 0.9604, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4801, root_relative_squared_error: 0.9636, scimark_benchmark: 1848.388, usercpu_time_millis: 15.747, usercpu_time_millis_testing: 1.787, usercpu_time_millis_training: 13.96,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8154, f_measure: 0.7357, kappa: 0.4669, kb_relative_information_score: 793.7632, mean_absolute_error: 0.4084, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7356, predictive_accuracy: 0.7361, prior_entropy: 0.9948, recall: 0.7361, relative_absolute_error: 0.8227, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4323, root_relative_squared_error: 0.8677, scimark_benchmark: 1844.7928, usercpu_time_millis: 11.364, usercpu_time_millis_testing: 0.879, usercpu_time_millis_training: 10.485,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8754, f_measure: 0.8047, kappa: 0.606, kb_relative_information_score: 1650.7747, mean_absolute_error: 0.2945, 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: 0.5931, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3765, root_relative_squared_error: 0.7557, scimark_benchmark: 2118.4075, usercpu_time_millis: 3190.301, usercpu_time_millis_testing: 2.12, usercpu_time_millis_training: 3188.181,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8791, f_measure: 0.8087, kappa: 0.6141, kb_relative_information_score: 1594.1697, mean_absolute_error: 0.3033, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.809, predictive_accuracy: 0.8091, prior_entropy: 0.9948, recall: 0.8091, relative_absolute_error: 0.6111, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3756, root_relative_squared_error: 0.754, scimark_benchmark: 1833.2039, usercpu_time_millis: 2073.27, usercpu_time_millis_testing: 5.402, usercpu_time_millis_training: 2067.868,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8746, f_measure: 0.8054, kappa: 0.6074, kb_relative_information_score: 1592.9904, mean_absolute_error: 0.3031, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8058, predictive_accuracy: 0.8059, prior_entropy: 0.9948, recall: 0.8059, relative_absolute_error: 0.6106, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3781, root_relative_squared_error: 0.7589, scimark_benchmark: 1844.4224, usercpu_time_millis: 2079.848, usercpu_time_millis_testing: 2.832, usercpu_time_millis_training: 2077.016,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8805, f_measure: 0.8089, kappa: 0.6147, kb_relative_information_score: 1712.9247, mean_absolute_error: 0.2855, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8089, predictive_accuracy: 0.8091, prior_entropy: 0.9948, recall: 0.8091, relative_absolute_error: 0.5752, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3722, root_relative_squared_error: 0.747, scimark_benchmark: 1836.2249, usercpu_time_millis: 1996.864, usercpu_time_millis_testing: 3.574, usercpu_time_millis_training: 1993.29,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8351, f_measure: 0.7701, kappa: 0.5361, kb_relative_information_score: 1248.2069, mean_absolute_error: 0.3492, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7709, predictive_accuracy: 0.771, prior_entropy: 0.9948, recall: 0.771, relative_absolute_error: 0.7034, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4065, root_relative_squared_error: 0.8158, scimark_benchmark: 1829.7478, usercpu_time_millis: 1293.456, usercpu_time_millis_testing: 2.362, usercpu_time_millis_training: 1291.094,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8629, f_measure: 0.7945, kappa: 0.5854, kb_relative_information_score: 1488.1475, mean_absolute_error: 0.3172, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7948, predictive_accuracy: 0.795, prior_entropy: 0.9948, recall: 0.795, relative_absolute_error: 0.639, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3871, root_relative_squared_error: 0.7769, scimark_benchmark: 1797.1805, usercpu_time_millis: 1153.277, usercpu_time_millis_testing: 1.993, usercpu_time_millis_training: 1151.284,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8265, f_measure: 0.755, kappa: 0.5057, kb_relative_information_score: 1252.4206, mean_absolute_error: 0.3484, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7576, predictive_accuracy: 0.7569, prior_entropy: 0.9948, recall: 0.7569, relative_absolute_error: 0.7019, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4119, root_relative_squared_error: 0.8268, scimark_benchmark: 1902.3266, usercpu_time_millis: 839.797, usercpu_time_millis_testing: 1.462, usercpu_time_millis_training: 838.335,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8477, f_measure: 0.7808, kappa: 0.5578, kb_relative_information_score: 1412.1671, mean_absolute_error: 0.3263, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7816, predictive_accuracy: 0.7817, prior_entropy: 0.9948, recall: 0.7817, relative_absolute_error: 0.6572, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3969, root_relative_squared_error: 0.7966, scimark_benchmark: 1711.9058, usercpu_time_millis: 3386.516, usercpu_time_millis_testing: 1.751, usercpu_time_millis_training: 3384.765,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.869, f_measure: 0.8007, kappa: 0.5981, kb_relative_information_score: 1528.2906, mean_absolute_error: 0.3119, 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: 0.6283, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3829, root_relative_squared_error: 0.7686, scimark_benchmark: 1726.2345, usercpu_time_millis: 1462.404, usercpu_time_millis_testing: 1.924, usercpu_time_millis_training: 1460.48,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8804, f_measure: 0.8085, kappa: 0.6139, kb_relative_information_score: 1709.7123, mean_absolute_error: 0.2859, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8086, predictive_accuracy: 0.8089, prior_entropy: 0.9948, recall: 0.8089, relative_absolute_error: 0.5758, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3724, root_relative_squared_error: 0.7475, scimark_benchmark: 1764.904, usercpu_time_millis: 447.243, usercpu_time_millis_testing: 1.549, usercpu_time_millis_training: 445.694,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8302, f_measure: 0.7548, kappa: 0.5052, kb_relative_information_score: 1308.6797, mean_absolute_error: 0.3397, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7574, predictive_accuracy: 0.7566, prior_entropy: 0.9948, recall: 0.7566, relative_absolute_error: 0.6844, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4085, root_relative_squared_error: 0.8198, scimark_benchmark: 1722.5259, usercpu_time_millis: 492.314, usercpu_time_millis_testing: 0.821, usercpu_time_millis_training: 491.493,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8307, f_measure: 0.7636, kappa: 0.5231, kb_relative_information_score: 1114.2615, mean_absolute_error: 0.368, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7645, predictive_accuracy: 0.7646, prior_entropy: 0.9948, recall: 0.7646, relative_absolute_error: 0.7414, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4123, root_relative_squared_error: 0.8275, scimark_benchmark: 1721.4742, usercpu_time_millis: 339.272, usercpu_time_millis_testing: 2.036, usercpu_time_millis_training: 337.236,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8538, f_measure: 0.7859, kappa: 0.5681, kb_relative_information_score: 1470.9126, mean_absolute_error: 0.3187, 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: 0.6419, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3923, root_relative_squared_error: 0.7874, scimark_benchmark: 1731.2227, usercpu_time_millis: 336.762, usercpu_time_millis_testing: 0.887, usercpu_time_millis_training: 335.875,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.883, f_measure: 0.8108, kappa: 0.6185, kb_relative_information_score: 1570.4796, mean_absolute_error: 0.3068, 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: 0.6179, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3747, root_relative_squared_error: 0.752, scimark_benchmark: 1750.5476, usercpu_time_millis: 298.445, usercpu_time_millis_testing: 4.297, usercpu_time_millis_training: 294.148,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8746, f_measure: 0.8014, kappa: 0.5996, kb_relative_information_score: 1341.6398, mean_absolute_error: 0.3387, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8014, predictive_accuracy: 0.8017, prior_entropy: 0.9948, recall: 0.8017, relative_absolute_error: 0.6824, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3881, root_relative_squared_error: 0.7789, scimark_benchmark: 1949.2922, usercpu_time_millis: 209.414, usercpu_time_millis_testing: 4.689, usercpu_time_millis_training: 204.725,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8802, f_measure: 0.8103, kappa: 0.6175, kb_relative_information_score: 1499.7724, mean_absolute_error: 0.3168, 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: 0.6382, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3787, root_relative_squared_error: 0.76, scimark_benchmark: 1758.2034, usercpu_time_millis: 186.666, usercpu_time_millis_testing: 2.661, usercpu_time_millis_training: 184.005,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8782, f_measure: 0.8015, kappa: 0.5997, kb_relative_information_score: 1405.9353, mean_absolute_error: 0.3299, 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: 0.6645, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3838, root_relative_squared_error: 0.7704, scimark_benchmark: 1777.3831, usercpu_time_millis: 107.628, usercpu_time_millis_testing: 3.999, usercpu_time_millis_training: 103.629,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8596, f_measure: 0.7914, kappa: 0.5794, kb_relative_information_score: 1181.0598, mean_absolute_error: 0.3597, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7915, predictive_accuracy: 0.7918, prior_entropy: 0.9948, recall: 0.7918, relative_absolute_error: 0.7246, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4013, root_relative_squared_error: 0.8054, scimark_benchmark: 1734.9758, usercpu_time_millis: 182.651, usercpu_time_millis_testing: 3.055, usercpu_time_millis_training: 179.596,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.88, f_measure: 0.8093, kappa: 0.6155, kb_relative_information_score: 1485.4638, mean_absolute_error: 0.3189, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8095, predictive_accuracy: 0.8097, prior_entropy: 0.9948, recall: 0.8097, relative_absolute_error: 0.6423, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3793, root_relative_squared_error: 0.7614, scimark_benchmark: 1758.8062, usercpu_time_millis: 178.074, usercpu_time_millis_testing: 3.005, usercpu_time_millis_training: 175.069,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8451, f_measure: 0.7787, kappa: 0.5535, kb_relative_information_score: 1380.8441, mean_absolute_error: 0.3307, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.779, predictive_accuracy: 0.7793, prior_entropy: 0.9948, recall: 0.7793, relative_absolute_error: 0.6661, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3989, root_relative_squared_error: 0.8007, scimark_benchmark: 1742.7986, usercpu_time_millis: 156.797, usercpu_time_millis_testing: 0.882, usercpu_time_millis_training: 155.915,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8679, f_measure: 0.7982, kappa: 0.593, kb_relative_information_score: 1289.4051, mean_absolute_error: 0.3456, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7982, predictive_accuracy: 0.7985, prior_entropy: 0.9948, recall: 0.7985, relative_absolute_error: 0.6961, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3931, root_relative_squared_error: 0.789, scimark_benchmark: 1842.1882, usercpu_time_millis: 137.473, usercpu_time_millis_testing: 2.268, usercpu_time_millis_training: 135.205,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.874, f_measure: 0.8013, kappa: 0.5993, kb_relative_information_score: 1314.9106, mean_absolute_error: 0.3424, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8014, predictive_accuracy: 0.8017, prior_entropy: 0.9948, recall: 0.8017, relative_absolute_error: 0.6897, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3897, root_relative_squared_error: 0.7822, scimark_benchmark: 1709.9252, usercpu_time_millis: 123.909, usercpu_time_millis_testing: 4.773, usercpu_time_millis_training: 119.136,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4996, f_measure: 0.3813, kb_relative_information_score: -0.0852, 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: 1818.9342, usercpu_time_millis: 8.261, usercpu_time_millis_testing: 1.25, usercpu_time_millis_training: 7.011,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8598, f_measure: 0.7843, kappa: 0.565, kb_relative_information_score: 1041.2318, mean_absolute_error: 0.3787, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7843, predictive_accuracy: 0.7846, prior_entropy: 0.9948, recall: 0.7846, relative_absolute_error: 0.7629, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4092, root_relative_squared_error: 0.8212, scimark_benchmark: 1809.3271, usercpu_time_millis: 69.667, usercpu_time_millis_testing: 4.995, usercpu_time_millis_training: 64.672,

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