Task
Supervised Classification on puma32H

Supervised Classification on puma32H

Task 3618 Supervised Classification puma32H 556 runs submitted
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  • mythbusting_1 study_1 study_107 study_15 study_20 study_41 study_7 under100k under1m
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.895, f_measure: 0.8792, kappa: 0.7585, kb_relative_information_score: 5262.1503, mean_absolute_error: 0.1965, mean_prior_absolute_error: 0.5, number_of_instances: 8192, precision: 0.8794, predictive_accuracy: 0.8793, prior_entropy: 1, recall: 0.8793, relative_absolute_error: 0.393, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3214, root_relative_squared_error: 0.6428,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8491, f_measure: 0.8033, kappa: 0.6076, kb_relative_information_score: 3687.9693, mean_absolute_error: 0.2932, mean_prior_absolute_error: 0.5, number_of_instances: 8192, precision: 0.8073, predictive_accuracy: 0.804, prior_entropy: 1, recall: 0.804, relative_absolute_error: 0.5864, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.387, root_relative_squared_error: 0.7741,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9614, f_measure: 0.8838, kappa: 0.7675, kb_relative_information_score: 5525.5224, mean_absolute_error: 0.1753, mean_prior_absolute_error: 0.5, number_of_instances: 8192, precision: 0.8838, predictive_accuracy: 0.8838, prior_entropy: 1, recall: 0.8838, relative_absolute_error: 0.3506, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2823, root_relative_squared_error: 0.5647,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9241, f_measure: 0.8175, kappa: 0.6353, kb_relative_information_score: 3610.9921, mean_absolute_error: 0.3035, mean_prior_absolute_error: 0.5, number_of_instances: 8192, precision: 0.8188, predictive_accuracy: 0.8177, prior_entropy: 1, recall: 0.8177, relative_absolute_error: 0.607, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.354, root_relative_squared_error: 0.7079,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8214, f_measure: 0.7773, kappa: 0.5588, kb_relative_information_score: 3213.4425, mean_absolute_error: 0.3206, mean_prior_absolute_error: 0.5, number_of_instances: 8192, precision: 0.7914, predictive_accuracy: 0.7798, prior_entropy: 1, recall: 0.7798, relative_absolute_error: 0.6413, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4137, root_relative_squared_error: 0.8274,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5959, f_measure: 0.5995, kappa: 0.199, kb_relative_information_score: 1049.2479, mean_absolute_error: 0.4438, mean_prior_absolute_error: 0.5, number_of_instances: 8192, precision: 0.5995, predictive_accuracy: 0.5995, prior_entropy: 1, recall: 0.5995, relative_absolute_error: 0.8877, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5248, root_relative_squared_error: 1.0496,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9222, f_measure: 0.8621, kappa: 0.7241, kb_relative_information_score: 5932.5683, mean_absolute_error: 0.138, mean_prior_absolute_error: 0.5, number_of_instances: 8192, precision: 0.8622, predictive_accuracy: 0.8621, prior_entropy: 1, recall: 0.8621, relative_absolute_error: 0.276, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3568, root_relative_squared_error: 0.7136,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6436, f_measure: 0.6458, kappa: 0.2915, kb_relative_information_score: 1000.1678, mean_absolute_error: 0.4507, mean_prior_absolute_error: 0.5, number_of_instances: 8192, precision: 0.6459, predictive_accuracy: 0.6459, prior_entropy: 1, recall: 0.6459, relative_absolute_error: 0.9014, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4799, root_relative_squared_error: 0.9599,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.664, f_measure: 0.6554, kappa: 0.3109, kb_relative_information_score: 987.3343, mean_absolute_error: 0.4519, mean_prior_absolute_error: 0.5, number_of_instances: 8192, precision: 0.6555, predictive_accuracy: 0.6555, prior_entropy: 1, recall: 0.6555, relative_absolute_error: 0.9038, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4742, root_relative_squared_error: 0.9484,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7879, f_measure: 0.7158, kappa: 0.4316, kb_relative_information_score: 3285.3385, mean_absolute_error: 0.3033, mean_prior_absolute_error: 0.5, number_of_instances: 8192, precision: 0.7158, predictive_accuracy: 0.7158, prior_entropy: 1, recall: 0.7158, relative_absolute_error: 0.6067, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4684, root_relative_squared_error: 0.9368,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6687, f_measure: 0.6553, kappa: 0.3106, kb_relative_information_score: 904.7787, mean_absolute_error: 0.4554, mean_prior_absolute_error: 0.5, number_of_instances: 8192, precision: 0.6554, predictive_accuracy: 0.6554, prior_entropy: 1, recall: 0.6554, relative_absolute_error: 0.9109, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4778, root_relative_squared_error: 0.9557,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6679, f_measure: 0.6538, kappa: 0.3076, kb_relative_information_score: 2455.1235, mean_absolute_error: 0.3508, mean_prior_absolute_error: 0.5, number_of_instances: 8192, precision: 0.654, predictive_accuracy: 0.6539, prior_entropy: 1, recall: 0.6539, relative_absolute_error: 0.7016, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.569, root_relative_squared_error: 1.138,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6347, f_measure: 0.5945, kappa: 0.189, kb_relative_information_score: 980.0518, mean_absolute_error: 0.4464, mean_prior_absolute_error: 0.5, number_of_instances: 8192, precision: 0.5945, predictive_accuracy: 0.5945, prior_entropy: 1, recall: 0.5945, relative_absolute_error: 0.8928, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4987, root_relative_squared_error: 0.9975,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4995, f_measure: 0.3377, kb_relative_information_score: -0.0014, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 8192, precision: 0.2539, predictive_accuracy: 0.5039, prior_entropy: 1, recall: 0.5039, relative_absolute_error: 1, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9549, f_measure: 0.8754, kappa: 0.7507, kb_relative_information_score: 5699.7272, mean_absolute_error: 0.158, mean_prior_absolute_error: 0.5, number_of_instances: 8192, precision: 0.8754, predictive_accuracy: 0.8754, prior_entropy: 1, recall: 0.8754, relative_absolute_error: 0.316, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2942, root_relative_squared_error: 0.5885,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.928, f_measure: 0.8767, kappa: 0.7534, kb_relative_information_score: 2739.1125, mean_absolute_error: 0.3615, mean_prior_absolute_error: 0.5, number_of_instances: 8192, precision: 0.8767, predictive_accuracy: 0.8767, prior_entropy: 1, recall: 0.8767, relative_absolute_error: 0.7229, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3806, root_relative_squared_error: 0.7612,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4995, f_measure: 0.3377, kb_relative_information_score: -0.0014, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 8192, precision: 0.2539, predictive_accuracy: 0.5039, prior_entropy: 1, recall: 0.5039, relative_absolute_error: 1, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8223, f_measure: 0.7513, kappa: 0.5027, kb_relative_information_score: 3030.9621, mean_absolute_error: 0.3259, mean_prior_absolute_error: 0.5, number_of_instances: 8192, precision: 0.7514, predictive_accuracy: 0.7513, prior_entropy: 1, recall: 0.7513, relative_absolute_error: 0.6518, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4131, root_relative_squared_error: 0.8261,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4995, f_measure: 0.3377, kb_relative_information_score: -0.0012, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 8192, precision: 0.2539, predictive_accuracy: 0.5039, prior_entropy: 1, recall: 0.5039, relative_absolute_error: 1, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6132, f_measure: 0.5883, kappa: 0.1765, kb_relative_information_score: 952.7605, mean_absolute_error: 0.4469, mean_prior_absolute_error: 0.5, number_of_instances: 8192, precision: 0.5883, predictive_accuracy: 0.5883, prior_entropy: 1, recall: 0.5883, relative_absolute_error: 0.8938, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5185, root_relative_squared_error: 1.0371,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.669, f_measure: 0.6496, kappa: 0.2991, kb_relative_information_score: 904.7845, mean_absolute_error: 0.4553, mean_prior_absolute_error: 0.5, number_of_instances: 8192, precision: 0.6497, predictive_accuracy: 0.6497, prior_entropy: 1, recall: 0.6497, relative_absolute_error: 0.9107, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.478, root_relative_squared_error: 0.956,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6547, f_measure: 0.6547, kappa: 0.3094, kb_relative_information_score: 2535.502, mean_absolute_error: 0.3452, mean_prior_absolute_error: 0.5, number_of_instances: 8192, precision: 0.6548, predictive_accuracy: 0.6548, prior_entropy: 1, recall: 0.6548, relative_absolute_error: 0.6905, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5876, root_relative_squared_error: 1.1751,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5876, f_measure: 0.5652, kappa: 0.1304, kb_relative_information_score: 714.1795, mean_absolute_error: 0.4603, mean_prior_absolute_error: 0.5, number_of_instances: 8192, precision: 0.5652, predictive_accuracy: 0.5652, prior_entropy: 1, recall: 0.5652, relative_absolute_error: 0.9206, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5277, root_relative_squared_error: 1.0555,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8764, f_measure: 0.863, kappa: 0.7261, kb_relative_information_score: 5663.2568, mean_absolute_error: 0.1593, mean_prior_absolute_error: 0.5, number_of_instances: 8192, precision: 0.8631, predictive_accuracy: 0.863, prior_entropy: 1, recall: 0.863, relative_absolute_error: 0.3186, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3454, root_relative_squared_error: 0.6908,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6659, f_measure: 0.6458, kappa: 0.2915, kb_relative_information_score: 891.0783, mean_absolute_error: 0.4559, mean_prior_absolute_error: 0.5, number_of_instances: 8192, precision: 0.6459, predictive_accuracy: 0.6459, prior_entropy: 1, recall: 0.6459, relative_absolute_error: 0.9118, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4791, root_relative_squared_error: 0.9582,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6513, f_measure: 0.6516, kappa: 0.3031, kb_relative_information_score: 1014.6447, mean_absolute_error: 0.4503, mean_prior_absolute_error: 0.5, number_of_instances: 8192, precision: 0.6516, predictive_accuracy: 0.6516, prior_entropy: 1, recall: 0.6516, relative_absolute_error: 0.9006, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4772, root_relative_squared_error: 0.9543,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9468, f_measure: 0.8803, kappa: 0.7605, kb_relative_information_score: 4165.3227, mean_absolute_error: 0.2723, mean_prior_absolute_error: 0.5, number_of_instances: 8192, precision: 0.8803, predictive_accuracy: 0.8802, prior_entropy: 1, recall: 0.8802, relative_absolute_error: 0.5446, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3217, root_relative_squared_error: 0.6434,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6657, f_measure: 0.6455, kappa: 0.2911, kb_relative_information_score: 885.6411, mean_absolute_error: 0.4562, mean_prior_absolute_error: 0.5, number_of_instances: 8192, precision: 0.6457, predictive_accuracy: 0.6456, prior_entropy: 1, recall: 0.6456, relative_absolute_error: 0.9124, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4792, root_relative_squared_error: 0.9584,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8764, f_measure: 0.863, kappa: 0.7261, kb_relative_information_score: 5663.2568, mean_absolute_error: 0.1593, mean_prior_absolute_error: 0.5, number_of_instances: 8192, precision: 0.8631, predictive_accuracy: 0.863, prior_entropy: 1, recall: 0.863, relative_absolute_error: 0.3186, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3454, root_relative_squared_error: 0.6908,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3377, kb_relative_information_score: 63.2844, mean_absolute_error: 0.4961, mean_prior_absolute_error: 0.5, number_of_instances: 8192, precision: 0.2539, predictive_accuracy: 0.5039, prior_entropy: 1, recall: 0.5039, relative_absolute_error: 0.9922, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.7043, root_relative_squared_error: 1.4087,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6548, f_measure: 0.6548, kappa: 0.3097, kb_relative_information_score: 2537.5022, mean_absolute_error: 0.3451, mean_prior_absolute_error: 0.5, number_of_instances: 8192, precision: 0.6549, predictive_accuracy: 0.6549, prior_entropy: 1, recall: 0.6549, relative_absolute_error: 0.6902, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5874, root_relative_squared_error: 1.1749,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6659, f_measure: 0.6458, kappa: 0.2915, kb_relative_information_score: 891.0743, mean_absolute_error: 0.4559, mean_prior_absolute_error: 0.5, number_of_instances: 8192, precision: 0.6459, predictive_accuracy: 0.6459, prior_entropy: 1, recall: 0.6459, relative_absolute_error: 0.9118, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4791, root_relative_squared_error: 0.9582,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6562, f_measure: 0.6561, kappa: 0.3123, kb_relative_information_score: 2557.5039, mean_absolute_error: 0.3439, mean_prior_absolute_error: 0.5, number_of_instances: 8192, precision: 0.6563, predictive_accuracy: 0.6561, prior_entropy: 1, recall: 0.6561, relative_absolute_error: 0.6878, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5864, root_relative_squared_error: 1.1728,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6562, f_measure: 0.6561, kappa: 0.3123, kb_relative_information_score: 2557.5039, mean_absolute_error: 0.3439, mean_prior_absolute_error: 0.5, number_of_instances: 8192, precision: 0.6563, predictive_accuracy: 0.6561, prior_entropy: 1, recall: 0.6561, relative_absolute_error: 0.6878, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5864, root_relative_squared_error: 1.1728,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6562, f_measure: 0.6561, kappa: 0.3123, kb_relative_information_score: 2557.5039, mean_absolute_error: 0.3439, mean_prior_absolute_error: 0.5, number_of_instances: 8192, precision: 0.6563, predictive_accuracy: 0.6561, prior_entropy: 1, recall: 0.6561, relative_absolute_error: 0.6878, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5864, root_relative_squared_error: 1.1728,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6562, f_measure: 0.6561, kappa: 0.3123, kb_relative_information_score: 2557.5039, mean_absolute_error: 0.3439, mean_prior_absolute_error: 0.5, number_of_instances: 8192, precision: 0.6563, predictive_accuracy: 0.6561, prior_entropy: 1, recall: 0.6561, relative_absolute_error: 0.6878, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5864, root_relative_squared_error: 1.1728,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6562, f_measure: 0.6561, kappa: 0.3123, kb_relative_information_score: 2557.5039, mean_absolute_error: 0.3439, mean_prior_absolute_error: 0.5, number_of_instances: 8192, precision: 0.6563, predictive_accuracy: 0.6561, prior_entropy: 1, recall: 0.6561, relative_absolute_error: 0.6878, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5864, root_relative_squared_error: 1.1728,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4993, f_measure: 0.3419, kappa: -0.0028, kb_relative_information_score: -0.2493, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 8192, precision: 0.4503, predictive_accuracy: 0.5024, prior_entropy: 1, recall: 0.5024, relative_absolute_error: 1, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9006, f_measure: 0.8323, kappa: 0.665, kb_relative_information_score: 3550.3857, mean_absolute_error: 0.3044, mean_prior_absolute_error: 0.5, number_of_instances: 8192, precision: 0.8351, predictive_accuracy: 0.8326, prior_entropy: 1, recall: 0.8326, relative_absolute_error: 0.6088, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3647, root_relative_squared_error: 0.7294,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8419, f_measure: 0.8419, kappa: 0.6838, kb_relative_information_score: 5601.7719, mean_absolute_error: 0.1581, mean_prior_absolute_error: 0.5, number_of_instances: 8192, precision: 0.8419, predictive_accuracy: 0.8419, prior_entropy: 1, recall: 0.8419, relative_absolute_error: 0.3162, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3976, root_relative_squared_error: 0.7952,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6907, f_measure: 0.6902, kappa: 0.3816, kb_relative_information_score: 3129.5543, mean_absolute_error: 0.309, mean_prior_absolute_error: 0.5, number_of_instances: 8192, precision: 0.6925, predictive_accuracy: 0.691, prior_entropy: 1, recall: 0.691, relative_absolute_error: 0.618, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5558, root_relative_squared_error: 1.1117, scimark_benchmark: 1961.0876, usercpu_time_millis: 5721578.125, usercpu_time_millis_testing: 4312.5, usercpu_time_millis_training: 5717265.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5335, f_measure: 0.5336, kappa: 0.067, kb_relative_information_score: 549.3272, mean_absolute_error: 0.4664, mean_prior_absolute_error: 0.5, number_of_instances: 8192, precision: 0.5336, predictive_accuracy: 0.5336, prior_entropy: 1, recall: 0.5336, relative_absolute_error: 0.9329, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.683, root_relative_squared_error: 1.366, scimark_benchmark: 1697.6783, usercpu_time_millis: 21546.875, usercpu_time_millis_testing: 7140.625, usercpu_time_millis_training: 14406.25,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5012, f_measure: 0.3473, kappa: 0.0024, kb_relative_information_score: 81.286, mean_absolute_error: 0.495, mean_prior_absolute_error: 0.5, number_of_instances: 8192, precision: 0.5313, predictive_accuracy: 0.505, prior_entropy: 1, recall: 0.505, relative_absolute_error: 0.9901, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.7036, root_relative_squared_error: 1.4072, scimark_benchmark: 1862.8608, usercpu_time_millis: 53046.875, usercpu_time_millis_testing: 14687.5, usercpu_time_millis_training: 38359.375,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6907, f_measure: 0.6902, kappa: 0.3816, kb_relative_information_score: 3129.5543, mean_absolute_error: 0.309, mean_prior_absolute_error: 0.5, number_of_instances: 8192, precision: 0.6925, predictive_accuracy: 0.691, prior_entropy: 1, recall: 0.691, relative_absolute_error: 0.618, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5558, root_relative_squared_error: 1.1117, scimark_benchmark: 1690.9119, usercpu_time_millis: 4803590, usercpu_time_millis_testing: 3830, usercpu_time_millis_training: 4799760,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5335, f_measure: 0.5336, kappa: 0.067, kb_relative_information_score: 549.3272, mean_absolute_error: 0.4664, mean_prior_absolute_error: 0.5, number_of_instances: 8192, precision: 0.5336, predictive_accuracy: 0.5336, prior_entropy: 1, recall: 0.5336, relative_absolute_error: 0.9329, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.683, root_relative_squared_error: 1.366, scimark_benchmark: 1388.3166, usercpu_time_millis: 29490, usercpu_time_millis_testing: 6350, usercpu_time_millis_training: 23140,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5012, f_measure: 0.3473, kappa: 0.0024, kb_relative_information_score: 81.286, mean_absolute_error: 0.495, mean_prior_absolute_error: 0.5, number_of_instances: 8192, precision: 0.5313, predictive_accuracy: 0.505, prior_entropy: 1, recall: 0.505, relative_absolute_error: 0.9901, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.7036, root_relative_squared_error: 1.4072, scimark_benchmark: 1674.9317, usercpu_time_millis: 75890, usercpu_time_millis_testing: 21420, usercpu_time_millis_training: 54470,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6892, f_measure: 0.6812, kappa: 0.3623, kb_relative_information_score: 1419.8748, mean_absolute_error: 0.4281, mean_prior_absolute_error: 0.5, number_of_instances: 8192, precision: 0.6812, predictive_accuracy: 0.6812, prior_entropy: 1, recall: 0.6812, relative_absolute_error: 0.8562, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4682, root_relative_squared_error: 0.9365, scimark_benchmark: 1908.2191, usercpu_time_millis: 47718.75, usercpu_time_millis_testing: 46.875, usercpu_time_millis_training: 47671.875,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6292, f_measure: 0.5951, kappa: 0.1982, kb_relative_information_score: 991.7421, mean_absolute_error: 0.4458, mean_prior_absolute_error: 0.5, number_of_instances: 8192, precision: 0.6029, predictive_accuracy: 0.5985, prior_entropy: 1, recall: 0.5985, relative_absolute_error: 0.8917, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5098, root_relative_squared_error: 1.0197, scimark_benchmark: 1908.2191, usercpu_time_millis: 53406.25, usercpu_time_millis_testing: 15.625, usercpu_time_millis_training: 53390.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5158, f_measure: 0.4033, kappa: 0.0319, kb_relative_information_score: 315.3066, mean_absolute_error: 0.4807, mean_prior_absolute_error: 0.5, number_of_instances: 8192, precision: 0.57, predictive_accuracy: 0.5193, prior_entropy: 1, recall: 0.5193, relative_absolute_error: 0.9615, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.6933, root_relative_squared_error: 1.3867, scimark_benchmark: 1827.4462, usercpu_time_millis: 569953.125, usercpu_time_millis_testing: 12359.375, usercpu_time_millis_training: 557593.75,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.926, f_measure: 0.8414, kappa: 0.6829, kb_relative_information_score: 5518.8455, mean_absolute_error: 0.1643, mean_prior_absolute_error: 0.5, number_of_instances: 8192, precision: 0.8415, predictive_accuracy: 0.8414, prior_entropy: 1, recall: 0.8414, relative_absolute_error: 0.3287, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.366, root_relative_squared_error: 0.7321, scimark_benchmark: 1541.9758, usercpu_time_millis: 45980, usercpu_time_millis_testing: 60, usercpu_time_millis_training: 45920,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6292, f_measure: 0.5951, kappa: 0.1982, kb_relative_information_score: 991.7421, mean_absolute_error: 0.4458, mean_prior_absolute_error: 0.5, number_of_instances: 8192, precision: 0.6029, predictive_accuracy: 0.5985, prior_entropy: 1, recall: 0.5985, relative_absolute_error: 0.8917, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5098, root_relative_squared_error: 1.0197, scimark_benchmark: 1871.4229, usercpu_time_millis: 5468.75, usercpu_time_millis_testing: 31.25, usercpu_time_millis_training: 5437.5,
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable).
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7213, f_measure: 0.7212, kappa: 0.4425, kb_relative_information_score: 3623.5978, mean_absolute_error: 0.2788, mean_prior_absolute_error: 0.5, number_of_instances: 8192, precision: 0.7215, predictive_accuracy: 0.7212, prior_entropy: 1, recall: 0.7212, relative_absolute_error: 0.5577, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.528, root_relative_squared_error: 1.0561, usercpu_time_millis: 1194.804, usercpu_time_millis_testing: 205.232, usercpu_time_millis_training: 989.572,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6659, f_measure: 0.6458, kappa: 0.2915, kb_relative_information_score: 891.0743, mean_absolute_error: 0.4559, mean_prior_absolute_error: 0.5, number_of_instances: 8192, precision: 0.6459, predictive_accuracy: 0.6459, prior_entropy: 1, recall: 0.6459, relative_absolute_error: 0.9118, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4791, root_relative_squared_error: 0.9582, scimark_benchmark: 1304.9982, usercpu_time_millis: 370, usercpu_time_millis_testing: 150, usercpu_time_millis_training: 220,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6979, f_measure: 0.6818, kappa: 0.3636, kb_relative_information_score: 1422.8044, mean_absolute_error: 0.428, mean_prior_absolute_error: 0.5, number_of_instances: 8192, precision: 0.6819, predictive_accuracy: 0.6818, prior_entropy: 1, recall: 0.6818, relative_absolute_error: 0.8561, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4665, root_relative_squared_error: 0.933, scimark_benchmark: 1323.8217, usercpu_time_millis: 6230, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 6210,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.651, f_measure: 0.6511, kappa: 0.3021, kb_relative_information_score: 2475.4967, mean_absolute_error: 0.3489, mean_prior_absolute_error: 0.5, number_of_instances: 8192, precision: 0.6511, predictive_accuracy: 0.6511, prior_entropy: 1, recall: 0.6511, relative_absolute_error: 0.6978, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5907, root_relative_squared_error: 1.1814, scimark_benchmark: 1618.1738, usercpu_time_millis: 14671.875, usercpu_time_millis_testing: 15.625, usercpu_time_millis_training: 14656.25,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6339, f_measure: 0.6308, kappa: 0.2681, kb_relative_information_score: 2205.4729, mean_absolute_error: 0.3654, mean_prior_absolute_error: 0.5, number_of_instances: 8192, precision: 0.6395, predictive_accuracy: 0.6346, prior_entropy: 1, recall: 0.6346, relative_absolute_error: 0.7308, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.6044, root_relative_squared_error: 1.2089, scimark_benchmark: 1618.1738, usercpu_time_millis: 671.875, usercpu_time_millis_testing: 15.625, usercpu_time_millis_training: 656.25,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6652, f_measure: 0.6475, kappa: 0.295, kb_relative_information_score: 868.9187, mean_absolute_error: 0.4571, mean_prior_absolute_error: 0.5, number_of_instances: 8192, precision: 0.6476, predictive_accuracy: 0.6476, prior_entropy: 1, recall: 0.6476, relative_absolute_error: 0.9143, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4791, root_relative_squared_error: 0.9583, scimark_benchmark: 1744.8652, usercpu_time_millis: 296.875, usercpu_time_millis_testing: 15.625, usercpu_time_millis_training: 281.25,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5584, f_measure: 0.5584, kappa: 0.1167, kb_relative_information_score: 955.1753, mean_absolute_error: 0.4417, mean_prior_absolute_error: 0.5, number_of_instances: 8192, precision: 0.5584, predictive_accuracy: 0.5584, prior_entropy: 1, recall: 0.5584, relative_absolute_error: 0.8834, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.6645, root_relative_squared_error: 1.329, scimark_benchmark: 1744.8652, usercpu_time_millis: 9609.375, usercpu_time_millis_testing: 9546.875, usercpu_time_millis_training: 62.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6597, f_measure: 0.656, kappa: 0.3121, kb_relative_information_score: 1060.4053, mean_absolute_error: 0.4478, mean_prior_absolute_error: 0.5, number_of_instances: 8192, precision: 0.6562, predictive_accuracy: 0.656, prior_entropy: 1, recall: 0.656, relative_absolute_error: 0.8957, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4756, root_relative_squared_error: 0.9511, scimark_benchmark: 1744.8652, usercpu_time_millis: 7578.125, usercpu_time_millis_testing: 15.625, usercpu_time_millis_training: 7562.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9025, f_measure: 0.8763, kappa: 0.7527, kb_relative_information_score: 5255.6747, mean_absolute_error: 0.1962, mean_prior_absolute_error: 0.5, number_of_instances: 8192, precision: 0.8764, predictive_accuracy: 0.8763, prior_entropy: 1, recall: 0.8763, relative_absolute_error: 0.3924, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.323, root_relative_squared_error: 0.6459, scimark_benchmark: 1744.8652, usercpu_time_millis: 2046.875, usercpu_time_millis_training: 2046.875,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9322, f_measure: 0.8746, kappa: 0.7493, kb_relative_information_score: 5545.9381, mean_absolute_error: 0.1721, mean_prior_absolute_error: 0.5, number_of_instances: 8192, precision: 0.8748, predictive_accuracy: 0.8746, prior_entropy: 1, recall: 0.8746, relative_absolute_error: 0.3442, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3109, root_relative_squared_error: 0.6219, scimark_benchmark: 1744.8652, usercpu_time_millis: 234.375, usercpu_time_millis_training: 234.375,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9486, f_measure: 0.8812, kappa: 0.7625, kb_relative_information_score: 4257.8327, mean_absolute_error: 0.2662, mean_prior_absolute_error: 0.5, number_of_instances: 8192, precision: 0.8814, predictive_accuracy: 0.8812, prior_entropy: 1, recall: 0.8812, relative_absolute_error: 0.5324, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.318, root_relative_squared_error: 0.636, scimark_benchmark: 1744.8652, usercpu_time_millis: 8421.875, usercpu_time_millis_testing: 953.125, usercpu_time_millis_training: 7468.75,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8214, f_measure: 0.7773, kappa: 0.5588, kb_relative_information_score: 3213.4425, mean_absolute_error: 0.3206, mean_prior_absolute_error: 0.5, number_of_instances: 8192, precision: 0.7914, predictive_accuracy: 0.7798, prior_entropy: 1, recall: 0.7798, relative_absolute_error: 0.6413, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4137, root_relative_squared_error: 0.8274, scimark_benchmark: 1744.8652, usercpu_time_millis: 375, usercpu_time_millis_testing: 109.375, usercpu_time_millis_training: 265.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8746, f_measure: 0.8622, kappa: 0.7244, kb_relative_information_score: 5644.0941, mean_absolute_error: 0.1606, mean_prior_absolute_error: 0.5, number_of_instances: 8192, precision: 0.8622, predictive_accuracy: 0.8622, prior_entropy: 1, recall: 0.8622, relative_absolute_error: 0.3211, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3469, root_relative_squared_error: 0.6939, scimark_benchmark: 1744.8652, usercpu_time_millis: 500, usercpu_time_millis_testing: 15.625, usercpu_time_millis_training: 484.375,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6659, f_measure: 0.6458, kappa: 0.2915, kb_relative_information_score: 891.0743, mean_absolute_error: 0.4559, mean_prior_absolute_error: 0.5, number_of_instances: 8192, precision: 0.6459, predictive_accuracy: 0.6459, prior_entropy: 1, recall: 0.6459, relative_absolute_error: 0.9118, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4791, root_relative_squared_error: 0.9582, scimark_benchmark: 1744.8652, usercpu_time_millis: 234.375, usercpu_time_millis_testing: 78.125, usercpu_time_millis_training: 156.25,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.651, f_measure: 0.6511, kappa: 0.3021, kb_relative_information_score: 2475.4967, mean_absolute_error: 0.3489, mean_prior_absolute_error: 0.5, number_of_instances: 8192, precision: 0.6511, predictive_accuracy: 0.6511, prior_entropy: 1, recall: 0.6511, relative_absolute_error: 0.6978, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5907, root_relative_squared_error: 1.1814, scimark_benchmark: 1744.8652, usercpu_time_millis: 20390.625, usercpu_time_millis_training: 20390.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6339, f_measure: 0.6308, kappa: 0.2681, kb_relative_information_score: 2205.4729, mean_absolute_error: 0.3654, mean_prior_absolute_error: 0.5, number_of_instances: 8192, precision: 0.6395, predictive_accuracy: 0.6346, prior_entropy: 1, recall: 0.6346, relative_absolute_error: 0.7308, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.6044, root_relative_squared_error: 1.2089, scimark_benchmark: 1744.8652, usercpu_time_millis: 656.25, usercpu_time_millis_testing: 15.625, usercpu_time_millis_training: 640.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6979, f_measure: 0.6818, kappa: 0.3636, kb_relative_information_score: 1422.8044, mean_absolute_error: 0.428, mean_prior_absolute_error: 0.5, number_of_instances: 8192, precision: 0.6819, predictive_accuracy: 0.6818, prior_entropy: 1, recall: 0.6818, relative_absolute_error: 0.8561, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4665, root_relative_squared_error: 0.933, scimark_benchmark: 1744.8652, usercpu_time_millis: 4421.875, usercpu_time_millis_testing: 31.25, usercpu_time_millis_training: 4390.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6652, f_measure: 0.6475, kappa: 0.295, kb_relative_information_score: 868.9187, mean_absolute_error: 0.4571, mean_prior_absolute_error: 0.5, number_of_instances: 8192, precision: 0.6476, predictive_accuracy: 0.6476, prior_entropy: 1, recall: 0.6476, relative_absolute_error: 0.9143, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4791, root_relative_squared_error: 0.9583, scimark_benchmark: 1744.8652, usercpu_time_millis: 281.25, usercpu_time_millis_testing: 15.625, usercpu_time_millis_training: 265.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5584, f_measure: 0.5584, kappa: 0.1167, kb_relative_information_score: 955.1753, mean_absolute_error: 0.4417, mean_prior_absolute_error: 0.5, number_of_instances: 8192, precision: 0.5584, predictive_accuracy: 0.5584, prior_entropy: 1, recall: 0.5584, relative_absolute_error: 0.8834, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.6645, root_relative_squared_error: 1.329, scimark_benchmark: 1744.8652, usercpu_time_millis: 9390.625, usercpu_time_millis_testing: 9328.125, usercpu_time_millis_training: 62.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6597, f_measure: 0.656, kappa: 0.3121, kb_relative_information_score: 1060.4053, mean_absolute_error: 0.4478, mean_prior_absolute_error: 0.5, number_of_instances: 8192, precision: 0.6562, predictive_accuracy: 0.656, prior_entropy: 1, recall: 0.656, relative_absolute_error: 0.8957, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4756, root_relative_squared_error: 0.9511, scimark_benchmark: 1744.8652, usercpu_time_millis: 7140.625, usercpu_time_millis_testing: 15.625, usercpu_time_millis_training: 7125,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9025, f_measure: 0.8763, kappa: 0.7527, kb_relative_information_score: 5255.6747, mean_absolute_error: 0.1962, mean_prior_absolute_error: 0.5, number_of_instances: 8192, precision: 0.8764, predictive_accuracy: 0.8763, prior_entropy: 1, recall: 0.8763, relative_absolute_error: 0.3924, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.323, root_relative_squared_error: 0.6459, scimark_benchmark: 1744.8652, usercpu_time_millis: 1984.375, usercpu_time_millis_testing: 15.625, usercpu_time_millis_training: 1968.75,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9322, f_measure: 0.8746, kappa: 0.7493, kb_relative_information_score: 5545.9381, mean_absolute_error: 0.1721, mean_prior_absolute_error: 0.5, number_of_instances: 8192, precision: 0.8748, predictive_accuracy: 0.8746, prior_entropy: 1, recall: 0.8746, relative_absolute_error: 0.3442, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3109, root_relative_squared_error: 0.6219, scimark_benchmark: 1744.8652, usercpu_time_millis: 234.375, usercpu_time_millis_training: 234.375,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9486, f_measure: 0.8812, kappa: 0.7625, kb_relative_information_score: 4257.8327, mean_absolute_error: 0.2662, mean_prior_absolute_error: 0.5, number_of_instances: 8192, precision: 0.8814, predictive_accuracy: 0.8812, prior_entropy: 1, recall: 0.8812, relative_absolute_error: 0.5324, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.318, root_relative_squared_error: 0.636, scimark_benchmark: 1744.8652, usercpu_time_millis: 11171.875, usercpu_time_millis_testing: 953.125, usercpu_time_millis_training: 10218.75,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8214, f_measure: 0.7773, kappa: 0.5588, kb_relative_information_score: 3213.4425, mean_absolute_error: 0.3206, mean_prior_absolute_error: 0.5, number_of_instances: 8192, precision: 0.7914, predictive_accuracy: 0.7798, prior_entropy: 1, recall: 0.7798, relative_absolute_error: 0.6413, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4137, root_relative_squared_error: 0.8274, scimark_benchmark: 1744.8652, usercpu_time_millis: 265.625, usercpu_time_millis_testing: 78.125, usercpu_time_millis_training: 187.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8746, f_measure: 0.8622, kappa: 0.7244, kb_relative_information_score: 5644.0941, mean_absolute_error: 0.1606, mean_prior_absolute_error: 0.5, number_of_instances: 8192, precision: 0.8622, predictive_accuracy: 0.8622, prior_entropy: 1, recall: 0.8622, relative_absolute_error: 0.3211, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3469, root_relative_squared_error: 0.6939, scimark_benchmark: 1744.8652, usercpu_time_millis: 468.75, usercpu_time_millis_testing: 15.625, usercpu_time_millis_training: 453.125,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6652, f_measure: 0.6475, kappa: 0.295, kb_relative_information_score: 868.9187, mean_absolute_error: 0.4571, mean_prior_absolute_error: 0.5, number_of_instances: 8192, precision: 0.6476, predictive_accuracy: 0.6476, prior_entropy: 1, recall: 0.6476, relative_absolute_error: 0.9143, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4791, root_relative_squared_error: 0.9583, scimark_benchmark: 1327.5254, usercpu_time_millis: 218.75, usercpu_time_millis_training: 218.75,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6597, f_measure: 0.656, kappa: 0.3121, kb_relative_information_score: 1060.4053, mean_absolute_error: 0.4478, mean_prior_absolute_error: 0.5, number_of_instances: 8192, precision: 0.6562, predictive_accuracy: 0.656, prior_entropy: 1, recall: 0.656, relative_absolute_error: 0.8957, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4756, root_relative_squared_error: 0.9511, scimark_benchmark: 1788.6668, usercpu_time_millis: 8625, usercpu_time_millis_testing: 15.625, usercpu_time_millis_training: 8609.375,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6964, f_measure: 0.6809, kappa: 0.3618, kb_relative_information_score: 1425.2698, mean_absolute_error: 0.4278, mean_prior_absolute_error: 0.5, number_of_instances: 8192, precision: 0.681, predictive_accuracy: 0.6809, prior_entropy: 1, recall: 0.6809, relative_absolute_error: 0.8557, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4669, root_relative_squared_error: 0.9338, scimark_benchmark: 1788.6668, usercpu_time_millis: 4078.125, usercpu_time_millis_testing: 15.625, usercpu_time_millis_training: 4062.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6582, f_measure: 0.6561, kappa: 0.3123, kb_relative_information_score: 1041.5163, mean_absolute_error: 0.449, mean_prior_absolute_error: 0.5, number_of_instances: 8192, precision: 0.6563, predictive_accuracy: 0.6561, prior_entropy: 1, recall: 0.6561, relative_absolute_error: 0.898, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4749, root_relative_squared_error: 0.9498, scimark_benchmark: 1788.6668, usercpu_time_millis: 531.25, usercpu_time_millis_testing: 15.625, usercpu_time_millis_training: 515.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6545, f_measure: 0.6558, kappa: 0.3116, kb_relative_information_score: 1011.1653, mean_absolute_error: 0.4507, mean_prior_absolute_error: 0.5, number_of_instances: 8192, precision: 0.6558, predictive_accuracy: 0.6558, prior_entropy: 1, recall: 0.6558, relative_absolute_error: 0.9015, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4751, root_relative_squared_error: 0.9502, scimark_benchmark: 1788.6668, usercpu_time_millis: 156.25, usercpu_time_millis_training: 156.25,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6676, f_measure: 0.6552, kappa: 0.3107, kb_relative_information_score: 1012.6442, mean_absolute_error: 0.4498, mean_prior_absolute_error: 0.5, number_of_instances: 8192, precision: 0.6556, predictive_accuracy: 0.6553, prior_entropy: 1, recall: 0.6553, relative_absolute_error: 0.8997, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4771, root_relative_squared_error: 0.9543, scimark_benchmark: 1788.6668, usercpu_time_millis: 1531.25, usercpu_time_millis_testing: 15.625, usercpu_time_millis_training: 1515.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6688, f_measure: 0.6555, kappa: 0.3109, kb_relative_information_score: 879.4611, mean_absolute_error: 0.4568, mean_prior_absolute_error: 0.5, number_of_instances: 8192, precision: 0.6555, predictive_accuracy: 0.6555, prior_entropy: 1, recall: 0.6555, relative_absolute_error: 0.9138, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4778, root_relative_squared_error: 0.9557, scimark_benchmark: 1788.6668, usercpu_time_millis: 109.375, usercpu_time_millis_training: 109.375,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6548, f_measure: 0.6548, kappa: 0.3097, kb_relative_information_score: 2537.5022, mean_absolute_error: 0.3451, mean_prior_absolute_error: 0.5, number_of_instances: 8192, precision: 0.6549, predictive_accuracy: 0.6549, prior_entropy: 1, recall: 0.6549, relative_absolute_error: 0.6902, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5874, root_relative_squared_error: 1.1749, scimark_benchmark: 1788.6668, usercpu_time_millis: 203.125, usercpu_time_millis_training: 203.125,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6515, f_measure: 0.6516, kappa: 0.3031, kb_relative_information_score: 2483.4974, mean_absolute_error: 0.3484, mean_prior_absolute_error: 0.5, number_of_instances: 8192, precision: 0.6516, predictive_accuracy: 0.6516, prior_entropy: 1, recall: 0.6516, relative_absolute_error: 0.6968, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5902, root_relative_squared_error: 1.1805, scimark_benchmark: 936.4531, usercpu_time_millis: 12410, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 12390,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6652, f_measure: 0.6475, kappa: 0.295, kb_relative_information_score: 868.9187, mean_absolute_error: 0.4571, mean_prior_absolute_error: 0.5, number_of_instances: 8192, precision: 0.6476, predictive_accuracy: 0.6476, prior_entropy: 1, recall: 0.6476, relative_absolute_error: 0.9143, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4791, root_relative_squared_error: 0.9583, scimark_benchmark: 1008.6397, usercpu_time_millis: 480, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 430,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.895, f_measure: 0.8792, kappa: 0.7585, kb_relative_information_score: 5262.1503, mean_absolute_error: 0.1965, mean_prior_absolute_error: 0.5, number_of_instances: 8192, precision: 0.8794, predictive_accuracy: 0.8793, prior_entropy: 1, recall: 0.8793, relative_absolute_error: 0.393, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3214, root_relative_squared_error: 0.6428, scimark_benchmark: 996.01, usercpu_time_millis: 4050, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 4040,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6399, f_measure: 0.6108, kappa: 0.2263, kb_relative_information_score: 996.943, mean_absolute_error: 0.447, mean_prior_absolute_error: 0.5, number_of_instances: 8192, precision: 0.6162, predictive_accuracy: 0.6136, prior_entropy: 1, recall: 0.6136, relative_absolute_error: 0.894, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4958, root_relative_squared_error: 0.9916, scimark_benchmark: 1860.4354, usercpu_time_millis: 2171.875, usercpu_time_millis_testing: 2062.5, usercpu_time_millis_training: 109.375,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5739, f_measure: 0.5299, kappa: 0.1059, kb_relative_information_score: 836.2678, mean_absolute_error: 0.4489, mean_prior_absolute_error: 0.5, number_of_instances: 8192, precision: 0.5666, predictive_accuracy: 0.5546, prior_entropy: 1, recall: 0.5546, relative_absolute_error: 0.8979, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5805, root_relative_squared_error: 1.1611, scimark_benchmark: 1840.6094, usercpu_time_millis: 2265.625, usercpu_time_millis_testing: 2187.5, usercpu_time_millis_training: 78.125,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5878, f_measure: 0.542, kappa: 0.1292, kb_relative_information_score: 981.2644, mean_absolute_error: 0.4401, mean_prior_absolute_error: 0.5, number_of_instances: 8192, precision: 0.5813, predictive_accuracy: 0.5662, prior_entropy: 1, recall: 0.5662, relative_absolute_error: 0.8802, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5691, root_relative_squared_error: 1.1383, scimark_benchmark: 1840.6094, usercpu_time_millis: 14718.75, usercpu_time_millis_testing: 14718.75,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6488, f_measure: 0.6039, kappa: 0.2141, kb_relative_information_score: 941.2192, mean_absolute_error: 0.4501, mean_prior_absolute_error: 0.5, number_of_instances: 8192, precision: 0.611, predictive_accuracy: 0.6077, prior_entropy: 1, recall: 0.6077, relative_absolute_error: 0.9003, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4864, root_relative_squared_error: 0.9729, scimark_benchmark: 1873.1108, usercpu_time_millis: 26578.125, usercpu_time_millis_testing: 26578.125,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6132, f_measure: 0.588, kappa: 0.176, kb_relative_information_score: 952.5385, mean_absolute_error: 0.4469, mean_prior_absolute_error: 0.5, number_of_instances: 8192, precision: 0.588, predictive_accuracy: 0.588, prior_entropy: 1, recall: 0.588, relative_absolute_error: 0.8938, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5185, root_relative_squared_error: 1.0371, scimark_benchmark: 1873.1108, usercpu_time_millis: 1921.875, usercpu_time_millis_testing: 1843.75, usercpu_time_millis_training: 78.125,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6241, f_measure: 0.5995, kappa: 0.199, kb_relative_information_score: 980.5351, mean_absolute_error: 0.4457, mean_prior_absolute_error: 0.5, number_of_instances: 8192, precision: 0.5995, predictive_accuracy: 0.5995, prior_entropy: 1, recall: 0.5995, relative_absolute_error: 0.8915, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5061, root_relative_squared_error: 1.0122, scimark_benchmark: 1873.1108, usercpu_time_millis: 18125, usercpu_time_millis_testing: 18125,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8657, f_measure: 0.8657, kappa: 0.7314, kb_relative_information_score: 5991.8062, mean_absolute_error: 0.1343, mean_prior_absolute_error: 0.5, number_of_instances: 8192, precision: 0.8657, predictive_accuracy: 0.8657, prior_entropy: 1, recall: 0.8657, relative_absolute_error: 0.2686, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3664, root_relative_squared_error: 0.7329,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6366, f_measure: 0.6365, kappa: 0.2733, kb_relative_information_score: 2241.4761, mean_absolute_error: 0.3632, mean_prior_absolute_error: 0.5, number_of_instances: 8192, precision: 0.6371, predictive_accuracy: 0.6368, prior_entropy: 1, recall: 0.6368, relative_absolute_error: 0.7264, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.6026, root_relative_squared_error: 1.2053,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6536, f_measure: 0.6537, kappa: 0.3073, kb_relative_information_score: 2517.5004, mean_absolute_error: 0.3463, mean_prior_absolute_error: 0.5, number_of_instances: 8192, precision: 0.6537, predictive_accuracy: 0.6537, prior_entropy: 1, recall: 0.6537, relative_absolute_error: 0.6927, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5885, root_relative_squared_error: 1.177,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6546, f_measure: 0.6545, kappa: 0.3092, kb_relative_information_score: 2535.502, mean_absolute_error: 0.3452, mean_prior_absolute_error: 0.5, number_of_instances: 8192, precision: 0.6551, predictive_accuracy: 0.6548, prior_entropy: 1, recall: 0.6548, relative_absolute_error: 0.6905, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5876, root_relative_squared_error: 1.1751, scimark_benchmark: 1779.392, usercpu_time_millis: 343.2022, usercpu_time_millis_testing: 15.6001, usercpu_time_millis_training: 327.6021,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6339, f_measure: 0.6308, kappa: 0.2681, kb_relative_information_score: 2205.4729, mean_absolute_error: 0.3654, mean_prior_absolute_error: 0.5, number_of_instances: 8192, precision: 0.6395, predictive_accuracy: 0.6346, prior_entropy: 1, recall: 0.6346, relative_absolute_error: 0.7308, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.6044, root_relative_squared_error: 1.2089, scimark_benchmark: 1779.392, usercpu_time_millis: 873.6056, usercpu_time_millis_testing: 15.6001, usercpu_time_millis_training: 858.0055,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6531, f_measure: 0.6499, kappa: 0.2998, kb_relative_information_score: 1014.3715, mean_absolute_error: 0.45, mean_prior_absolute_error: 0.5, number_of_instances: 8192, precision: 0.6499, predictive_accuracy: 0.6499, prior_entropy: 1, recall: 0.6499, relative_absolute_error: 0.9001, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4787, root_relative_squared_error: 0.9575, scimark_benchmark: 1779.392, usercpu_time_millis: 109.2007, usercpu_time_millis_training: 109.2007,

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