OpenML
Supervised Classification on Bioresponse

Supervised Classification on Bioresponse

Task 145677 Supervised Classification Bioresponse 9363 runs submitted
1 likes downloaded by 9 people , 11 total downloads 0 issues
Visibility: Public
Issue #Downvotes for this reason By


Metric:

9363 Runs

Fetching data
Note: Chart is limited to the 100 best flows, and the 100 best runs for each flow.
Fetching data
Search runs in more detail
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.738, f_measure: 0.6936, kappa: 0.3838, kb_relative_information_score: 526.397, mean_absolute_error: 0.438, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7023, predictive_accuracy: 0.6993, prior_entropy: 0.9948, recall: 0.6993, relative_absolute_error: 0.8823, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4663, root_relative_squared_error: 0.936, scimark_benchmark: 1843.657, usercpu_time_millis: 2412.977, usercpu_time_millis_testing: 16.191, usercpu_time_millis_training: 2396.786,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7289, f_measure: 0.692, kappa: 0.3803, kb_relative_information_score: 533.0403, mean_absolute_error: 0.4367, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7, predictive_accuracy: 0.6974, prior_entropy: 0.9948, recall: 0.6974, relative_absolute_error: 0.8797, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4682, root_relative_squared_error: 0.9398, scimark_benchmark: 1957.4577, usercpu_time_millis: 2496.467, usercpu_time_millis_testing: 15.235, usercpu_time_millis_training: 2481.232,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7472, f_measure: 0.7016, kappa: 0.3996, kb_relative_information_score: 556.413, mean_absolute_error: 0.4346, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7097, predictive_accuracy: 0.7067, prior_entropy: 0.9948, recall: 0.7067, relative_absolute_error: 0.8755, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4626, root_relative_squared_error: 0.9286, scimark_benchmark: 1814.7893, usercpu_time_millis: 2471.111, usercpu_time_millis_testing: 20.526, usercpu_time_millis_training: 2450.585,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7241, f_measure: 0.6898, kappa: 0.376, kb_relative_information_score: 527.7745, mean_absolute_error: 0.437, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.6977, predictive_accuracy: 0.6953, prior_entropy: 0.9948, recall: 0.6953, relative_absolute_error: 0.8803, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4702, root_relative_squared_error: 0.9437, scimark_benchmark: 1798.5718, usercpu_time_millis: 2687.759, usercpu_time_millis_testing: 14.223, usercpu_time_millis_training: 2673.536,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7212, f_measure: 0.6879, kappa: 0.3718, kb_relative_information_score: 534.2721, mean_absolute_error: 0.436, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.6945, predictive_accuracy: 0.6929, prior_entropy: 0.9948, recall: 0.6929, relative_absolute_error: 0.8782, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4707, root_relative_squared_error: 0.9448, scimark_benchmark: 1763.0695, usercpu_time_millis: 2904, usercpu_time_millis_testing: 14.601, usercpu_time_millis_training: 2889.399,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7271, f_measure: 0.6925, kappa: 0.3816, kb_relative_information_score: 516.9531, mean_absolute_error: 0.4386, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7012, predictive_accuracy: 0.6982, prior_entropy: 0.9948, recall: 0.6982, relative_absolute_error: 0.8836, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4693, root_relative_squared_error: 0.9419, scimark_benchmark: 1853.9121, usercpu_time_millis: 2955.016, usercpu_time_millis_testing: 18.147, usercpu_time_millis_training: 2936.869,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7346, f_measure: 0.6933, kappa: 0.3832, kb_relative_information_score: 524.2494, mean_absolute_error: 0.4381, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7021, predictive_accuracy: 0.699, prior_entropy: 0.9948, recall: 0.699, relative_absolute_error: 0.8825, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4671, root_relative_squared_error: 0.9375, scimark_benchmark: 1858.6775, usercpu_time_millis: 2972.662, usercpu_time_millis_testing: 23.247, usercpu_time_millis_training: 2949.415,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7351, f_measure: 0.6943, kappa: 0.3853, kb_relative_information_score: 528.7158, mean_absolute_error: 0.4375, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7033, predictive_accuracy: 0.7001, prior_entropy: 0.9948, recall: 0.7001, relative_absolute_error: 0.8813, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.467, root_relative_squared_error: 0.9374, scimark_benchmark: 1850.3603, usercpu_time_millis: 3029.915, usercpu_time_millis_testing: 22.886, usercpu_time_millis_training: 3007.029,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.727, f_measure: 0.6925, kappa: 0.3816, kb_relative_information_score: 516.9919, mean_absolute_error: 0.4386, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7012, predictive_accuracy: 0.6982, prior_entropy: 0.9948, recall: 0.6982, relative_absolute_error: 0.8836, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4693, root_relative_squared_error: 0.942, scimark_benchmark: 1775.8586, usercpu_time_millis: 3090.302, usercpu_time_millis_testing: 19.638, usercpu_time_millis_training: 3070.664,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7289, f_measure: 0.6931, kappa: 0.3826, kb_relative_information_score: 534.9221, mean_absolute_error: 0.4365, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7011, predictive_accuracy: 0.6985, prior_entropy: 0.9948, recall: 0.6985, relative_absolute_error: 0.8793, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4683, root_relative_squared_error: 0.9399, scimark_benchmark: 1857.6392, usercpu_time_millis: 3125.946, usercpu_time_millis_testing: 20.846, usercpu_time_millis_training: 3105.1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7289, f_measure: 0.6931, kappa: 0.3826, kb_relative_information_score: 534.947, mean_absolute_error: 0.4365, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7011, predictive_accuracy: 0.6985, prior_entropy: 0.9948, recall: 0.6985, relative_absolute_error: 0.8793, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4683, root_relative_squared_error: 0.9399, scimark_benchmark: 1840.0237, usercpu_time_millis: 3163.057, usercpu_time_millis_testing: 22.711, usercpu_time_millis_training: 3140.346,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7214, f_measure: 0.6857, kappa: 0.3671, kb_relative_information_score: 543.1442, mean_absolute_error: 0.4348, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.6918, predictive_accuracy: 0.6905, prior_entropy: 0.9948, recall: 0.6905, relative_absolute_error: 0.8759, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4706, root_relative_squared_error: 0.9445, scimark_benchmark: 1849.8294, usercpu_time_millis: 3437.927, usercpu_time_millis_testing: 21.294, usercpu_time_millis_training: 3416.633,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7207, f_measure: 0.6863, kappa: 0.3682, kb_relative_information_score: 550.6545, mean_absolute_error: 0.4338, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.6924, predictive_accuracy: 0.691, prior_entropy: 0.9948, recall: 0.691, relative_absolute_error: 0.8739, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4706, root_relative_squared_error: 0.9446, scimark_benchmark: 1856.0123, usercpu_time_millis: 3457.916, usercpu_time_millis_testing: 21.398, usercpu_time_millis_training: 3436.518,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7196, f_measure: 0.6855, kappa: 0.3664, kb_relative_information_score: 550.6938, mean_absolute_error: 0.4337, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.6909, predictive_accuracy: 0.6899, prior_entropy: 0.9948, recall: 0.6899, relative_absolute_error: 0.8737, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4709, root_relative_squared_error: 0.9451, scimark_benchmark: 1841.2305, usercpu_time_millis: 3473.718, usercpu_time_millis_testing: 20.705, usercpu_time_millis_training: 3453.013,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7223, f_measure: 0.688, kappa: 0.372, kb_relative_information_score: 542.3081, mean_absolute_error: 0.435, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.6951, predictive_accuracy: 0.6931, prior_entropy: 0.9948, recall: 0.6931, relative_absolute_error: 0.8763, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4704, root_relative_squared_error: 0.9441, scimark_benchmark: 1705.9642, usercpu_time_millis: 3860.831, usercpu_time_millis_testing: 24.081, usercpu_time_millis_training: 3836.75,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7125, f_measure: 0.6756, kappa: 0.3464, kb_relative_information_score: 606.046, mean_absolute_error: 0.4255, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.6805, predictive_accuracy: 0.6801, prior_entropy: 0.9948, recall: 0.6801, relative_absolute_error: 0.8572, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4734, root_relative_squared_error: 0.9502, scimark_benchmark: 1765.9813, usercpu_time_millis: 3978.003, usercpu_time_millis_testing: 13.724, usercpu_time_millis_training: 3964.279,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7137, f_measure: 0.6788, kappa: 0.3528, kb_relative_information_score: 615.9912, mean_absolute_error: 0.4243, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.6834, predictive_accuracy: 0.683, prior_entropy: 0.9948, recall: 0.683, relative_absolute_error: 0.8547, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4732, root_relative_squared_error: 0.9497, scimark_benchmark: 1771.1653, usercpu_time_millis: 4053.738, usercpu_time_millis_testing: 15.458, usercpu_time_millis_training: 4038.28,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7128, f_measure: 0.6755, kappa: 0.3461, kb_relative_information_score: 601.8475, mean_absolute_error: 0.4262, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.6801, predictive_accuracy: 0.6798, prior_entropy: 0.9948, recall: 0.6798, relative_absolute_error: 0.8584, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4731, root_relative_squared_error: 0.9496, scimark_benchmark: 1740.6962, usercpu_time_millis: 4071.053, usercpu_time_millis_testing: 15.077, usercpu_time_millis_training: 4055.976,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7128, f_measure: 0.6765, kappa: 0.3483, kb_relative_information_score: 602.1488, mean_absolute_error: 0.426, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.6812, predictive_accuracy: 0.6809, prior_entropy: 0.9948, recall: 0.6809, relative_absolute_error: 0.8582, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4732, root_relative_squared_error: 0.9499, scimark_benchmark: 1773.5813, usercpu_time_millis: 4086.474, usercpu_time_millis_testing: 15.383, usercpu_time_millis_training: 4071.091,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7125, f_measure: 0.6782, kappa: 0.3516, kb_relative_information_score: 610.7411, mean_absolute_error: 0.4249, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.6829, predictive_accuracy: 0.6825, prior_entropy: 0.9948, recall: 0.6825, relative_absolute_error: 0.856, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4735, root_relative_squared_error: 0.9504, scimark_benchmark: 1840.1715, usercpu_time_millis: 4401.941, usercpu_time_millis_testing: 20.746, usercpu_time_millis_training: 4381.195,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7126, f_measure: 0.6765, kappa: 0.3482, kb_relative_information_score: 610.0196, mean_absolute_error: 0.425, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.6813, predictive_accuracy: 0.6809, prior_entropy: 0.9948, recall: 0.6809, relative_absolute_error: 0.8561, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4735, root_relative_squared_error: 0.9504, scimark_benchmark: 1839.0605, usercpu_time_millis: 4343.237, usercpu_time_millis_testing: 18.997, usercpu_time_millis_training: 4324.24,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7132, f_measure: 0.6764, kappa: 0.3483, kb_relative_information_score: 601.3318, mean_absolute_error: 0.4262, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.6819, predictive_accuracy: 0.6812, prior_entropy: 0.9948, recall: 0.6812, relative_absolute_error: 0.8585, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4731, root_relative_squared_error: 0.9495, scimark_benchmark: 1849.8294, usercpu_time_millis: 4482.638, usercpu_time_millis_testing: 21.105, usercpu_time_millis_training: 4461.533,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7128, f_measure: 0.6736, kappa: 0.3425, kb_relative_information_score: 606.8782, mean_absolute_error: 0.4254, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.6786, predictive_accuracy: 0.6782, prior_entropy: 0.9948, recall: 0.6782, relative_absolute_error: 0.8569, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4731, root_relative_squared_error: 0.9496, scimark_benchmark: 1825.7178, usercpu_time_millis: 4443.592, usercpu_time_millis_testing: 20.829, usercpu_time_millis_training: 4422.763,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7134, f_measure: 0.679, kappa: 0.3531, kb_relative_information_score: 605.1277, mean_absolute_error: 0.4257, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.6838, predictive_accuracy: 0.6833, prior_entropy: 0.9948, recall: 0.6833, relative_absolute_error: 0.8576, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4733, root_relative_squared_error: 0.95, scimark_benchmark: 1706.0129, usercpu_time_millis: 5014.858, usercpu_time_millis_testing: 23.791, usercpu_time_millis_training: 4991.067,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8673, f_measure: 0.793, kappa: 0.5826, kb_relative_information_score: 1228.3988, mean_absolute_error: 0.3538, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7931, predictive_accuracy: 0.7934, prior_entropy: 0.9948, recall: 0.7934, relative_absolute_error: 0.7128, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3963, root_relative_squared_error: 0.7955, scimark_benchmark: 1810.0722, usercpu_time_millis: 69.538, usercpu_time_millis_testing: 3.224, usercpu_time_millis_training: 66.314,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8754, f_measure: 0.7966, kappa: 0.59, kb_relative_information_score: 1405.1824, mean_absolute_error: 0.3296, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7966, predictive_accuracy: 0.7969, prior_entropy: 0.9948, recall: 0.7969, relative_absolute_error: 0.6639, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3849, root_relative_squared_error: 0.7726, scimark_benchmark: 1826.616, usercpu_time_millis: 23.677, usercpu_time_millis_testing: 1.195, usercpu_time_millis_training: 22.482,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8446, f_measure: 0.7772, kappa: 0.5505, kb_relative_information_score: 1118.8783, mean_absolute_error: 0.3674, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7774, predictive_accuracy: 0.7777, prior_entropy: 0.9948, recall: 0.7777, relative_absolute_error: 0.74, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4085, root_relative_squared_error: 0.8199, scimark_benchmark: 2127.824, usercpu_time_millis: 19.512, usercpu_time_millis_testing: 0.898, usercpu_time_millis_training: 18.614,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8564, f_measure: 0.7906, kappa: 0.5777, kb_relative_information_score: 1294.4131, mean_absolute_error: 0.344, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7907, predictive_accuracy: 0.791, prior_entropy: 0.9948, recall: 0.791, relative_absolute_error: 0.693, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3967, root_relative_squared_error: 0.7963, scimark_benchmark: 2145.6725, usercpu_time_millis: 27.641, usercpu_time_millis_testing: 0.997, usercpu_time_millis_training: 26.644,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7879, f_measure: 0.6752, kappa: 0.3535, kb_relative_information_score: 313.7425, mean_absolute_error: 0.4648, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.6994, predictive_accuracy: 0.6876, prior_entropy: 0.9948, recall: 0.6876, relative_absolute_error: 0.9363, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4699, root_relative_squared_error: 0.9432, scimark_benchmark: 1761.9644, usercpu_time_millis: 6.043, usercpu_time_millis_testing: 1.08, usercpu_time_millis_training: 4.963,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.841, f_measure: 0.776, kappa: 0.5482, kb_relative_information_score: 1299.8246, mean_absolute_error: 0.3422, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7763, predictive_accuracy: 0.7766, prior_entropy: 0.9948, recall: 0.7766, relative_absolute_error: 0.6893, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4027, root_relative_squared_error: 0.8083, scimark_benchmark: 1847.8629, usercpu_time_millis: 49.174, usercpu_time_millis_testing: 0.85, usercpu_time_millis_training: 48.324,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8493, f_measure: 0.7865, kappa: 0.5693, kb_relative_information_score: 1399.5178, mean_absolute_error: 0.3284, 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: 0.6616, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3962, root_relative_squared_error: 0.7952, scimark_benchmark: 1738.6344, usercpu_time_millis: 62.695, usercpu_time_millis_testing: 0.86, usercpu_time_millis_training: 61.835,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8391, f_measure: 0.7688, kappa: 0.5337, kb_relative_information_score: 1003.2025, mean_absolute_error: 0.3822, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7688, predictive_accuracy: 0.7691, prior_entropy: 0.9948, recall: 0.7691, relative_absolute_error: 0.7699, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4159, root_relative_squared_error: 0.8347, scimark_benchmark: 1730.1903, usercpu_time_millis: 24.149, usercpu_time_millis_testing: 1.559, usercpu_time_millis_training: 22.59,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8468, f_measure: 0.775, kappa: 0.5461, kb_relative_information_score: 1226.4602, mean_absolute_error: 0.3527, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7752, predictive_accuracy: 0.7755, prior_entropy: 0.9948, recall: 0.7755, relative_absolute_error: 0.7105, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4028, root_relative_squared_error: 0.8086, scimark_benchmark: 1732.9537, usercpu_time_millis: 21.023, usercpu_time_millis_testing: 0.85, usercpu_time_millis_training: 20.173,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8664, f_measure: 0.7928, kappa: 0.5822, kb_relative_information_score: 1607.0328, mean_absolute_error: 0.2988, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7929, predictive_accuracy: 0.7931, prior_entropy: 0.9948, recall: 0.7931, relative_absolute_error: 0.602, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3835, root_relative_squared_error: 0.7697, scimark_benchmark: 1721.0114, usercpu_time_millis: 42.034, usercpu_time_millis_testing: 0.791, usercpu_time_millis_training: 41.243,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.88, f_measure: 0.8086, kappa: 0.6141, kb_relative_information_score: 1572.3751, mean_absolute_error: 0.3062, 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: 0.6169, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3761, root_relative_squared_error: 0.7548, scimark_benchmark: 1765.0107, usercpu_time_millis: 69.022, usercpu_time_millis_testing: 1.217, usercpu_time_millis_training: 67.805,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8707, f_measure: 0.7999, kappa: 0.5965, kb_relative_information_score: 1544.3079, mean_absolute_error: 0.3093, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7998, predictive_accuracy: 0.8001, prior_entropy: 0.9948, recall: 0.8001, relative_absolute_error: 0.623, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3819, root_relative_squared_error: 0.7665, scimark_benchmark: 1738.3274, usercpu_time_millis: 21.442, usercpu_time_millis_testing: 0.958, usercpu_time_millis_training: 20.484,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8562, f_measure: 0.7849, kappa: 0.5662, kb_relative_information_score: 1457.0726, mean_absolute_error: 0.3202, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7851, predictive_accuracy: 0.7854, prior_entropy: 0.9948, recall: 0.7854, relative_absolute_error: 0.645, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.392, root_relative_squared_error: 0.7867, scimark_benchmark: 1732.8983, usercpu_time_millis: 57.123, usercpu_time_millis_testing: 0.833, usercpu_time_millis_training: 56.29,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8616, f_measure: 0.7879, kappa: 0.5722, kb_relative_information_score: 1617.6563, mean_absolute_error: 0.2966, 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: 0.5975, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3866, root_relative_squared_error: 0.776, scimark_benchmark: 1714.2341, usercpu_time_millis: 104.579, usercpu_time_millis_testing: 0.854, usercpu_time_millis_training: 103.725,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8725, f_measure: 0.8036, kappa: 0.604, kb_relative_information_score: 1341.7615, mean_absolute_error: 0.3386, 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: 0.6821, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3888, root_relative_squared_error: 0.7804, scimark_benchmark: 1844.2035, usercpu_time_millis: 21.69, usercpu_time_millis_testing: 1.134, usercpu_time_millis_training: 20.556,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8644, f_measure: 0.7933, kappa: 0.5832, kb_relative_information_score: 1465.3314, mean_absolute_error: 0.32, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7934, predictive_accuracy: 0.7937, prior_entropy: 0.9948, recall: 0.7937, relative_absolute_error: 0.6445, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3873, root_relative_squared_error: 0.7774, scimark_benchmark: 1842.1399, usercpu_time_millis: 31.361, usercpu_time_millis_testing: 0.842, usercpu_time_millis_training: 30.519,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8409, f_measure: 0.7748, kappa: 0.5458, kb_relative_information_score: 1330.5182, mean_absolute_error: 0.3378, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7749, predictive_accuracy: 0.7753, prior_entropy: 0.9948, recall: 0.7753, relative_absolute_error: 0.6804, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4019, root_relative_squared_error: 0.8067, scimark_benchmark: 1814.8244, usercpu_time_millis: 77.999, usercpu_time_millis_testing: 0.861, usercpu_time_millis_training: 77.138,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8658, f_measure: 0.7993, kappa: 0.5951, kb_relative_information_score: 1515.7224, mean_absolute_error: 0.313, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7996, predictive_accuracy: 0.7998, prior_entropy: 0.9948, recall: 0.7998, relative_absolute_error: 0.6305, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3853, root_relative_squared_error: 0.7734, scimark_benchmark: 1736.9477, usercpu_time_millis: 67.737, usercpu_time_millis_testing: 1.008, usercpu_time_millis_training: 66.729,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8642, f_measure: 0.7902, kappa: 0.5768, kb_relative_information_score: 1546.6594, mean_absolute_error: 0.3076, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7905, predictive_accuracy: 0.7907, prior_entropy: 0.9948, recall: 0.7907, relative_absolute_error: 0.6196, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3859, root_relative_squared_error: 0.7745, scimark_benchmark: 1753.0931, usercpu_time_millis: 64.195, usercpu_time_millis_testing: 0.84, usercpu_time_millis_training: 63.355,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8581, f_measure: 0.7874, kappa: 0.5711, kb_relative_information_score: 1283.6419, mean_absolute_error: 0.3456, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7875, predictive_accuracy: 0.7878, prior_entropy: 0.9948, recall: 0.7878, relative_absolute_error: 0.6961, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3967, root_relative_squared_error: 0.7962, scimark_benchmark: 1736.4936, usercpu_time_millis: 28.303, usercpu_time_millis_testing: 1.026, usercpu_time_millis_training: 27.277,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8665, f_measure: 0.7967, kappa: 0.5899, kb_relative_information_score: 1323.6246, mean_absolute_error: 0.3406, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7969, predictive_accuracy: 0.7971, prior_entropy: 0.9948, recall: 0.7971, relative_absolute_error: 0.6862, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3918, root_relative_squared_error: 0.7864, scimark_benchmark: 1724.2232, usercpu_time_millis: 72.097, usercpu_time_millis_testing: 1.536, usercpu_time_millis_training: 70.561,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8065, f_measure: 0.7442, kappa: 0.4844, kb_relative_information_score: 1515.0873, mean_absolute_error: 0.3018, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7441, predictive_accuracy: 0.7443, prior_entropy: 0.9948, recall: 0.7443, relative_absolute_error: 0.6079, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4327, root_relative_squared_error: 0.8685, scimark_benchmark: 2142.1815, usercpu_time_millis: 9.99, usercpu_time_millis_testing: 0.555, usercpu_time_millis_training: 9.435,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8626, f_measure: 0.7925, kappa: 0.5816, kb_relative_information_score: 1626.0569, mean_absolute_error: 0.296, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7926, predictive_accuracy: 0.7929, prior_entropy: 0.9948, recall: 0.7929, relative_absolute_error: 0.5962, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3856, root_relative_squared_error: 0.774, scimark_benchmark: 1835.6117, usercpu_time_millis: 63.124, usercpu_time_millis_testing: 0.803, usercpu_time_millis_training: 62.321,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8522, f_measure: 0.7833, kappa: 0.5629, kb_relative_information_score: 1189.4035, mean_absolute_error: 0.3582, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7835, predictive_accuracy: 0.7838, prior_entropy: 0.9948, recall: 0.7838, relative_absolute_error: 0.7216, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4027, root_relative_squared_error: 0.8083, scimark_benchmark: 1736.5552, usercpu_time_millis: 59.453, usercpu_time_millis_testing: 1.448, usercpu_time_millis_training: 58.005,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7415, f_measure: 0.7, kappa: 0.3961, kb_relative_information_score: 548.0124, mean_absolute_error: 0.4354, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7073, predictive_accuracy: 0.7049, prior_entropy: 0.9948, recall: 0.7049, relative_absolute_error: 0.8771, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4647, root_relative_squared_error: 0.9328, scimark_benchmark: 2149.19, usercpu_time_millis: 1754.533, usercpu_time_millis_testing: 11.871, usercpu_time_millis_training: 1742.662,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8042, f_measure: 0.7569, kappa: 0.5094, kb_relative_information_score: 1110.5598, mean_absolute_error: 0.3668, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7578, predictive_accuracy: 0.7579, prior_entropy: 0.9948, recall: 0.7579, relative_absolute_error: 0.7388, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4239, root_relative_squared_error: 0.8509, scimark_benchmark: 1797.7155, usercpu_time_millis: 2079.634, usercpu_time_millis_testing: 27.669, usercpu_time_millis_training: 2051.965,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7537, f_measure: 0.7147, kappa: 0.4251, kb_relative_information_score: 609.3838, mean_absolute_error: 0.4284, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7204, predictive_accuracy: 0.7185, prior_entropy: 0.9948, recall: 0.7185, relative_absolute_error: 0.863, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4588, root_relative_squared_error: 0.9209, scimark_benchmark: 1730.1903, usercpu_time_millis: 2229.448, usercpu_time_millis_testing: 20.605, usercpu_time_millis_training: 2208.843,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7534, f_measure: 0.7109, kappa: 0.4179, kb_relative_information_score: 588.504, mean_absolute_error: 0.4309, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7177, predictive_accuracy: 0.7153, prior_entropy: 0.9948, recall: 0.7153, relative_absolute_error: 0.868, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4596, root_relative_squared_error: 0.9225, scimark_benchmark: 1730.1287, usercpu_time_millis: 2291.383, usercpu_time_millis_testing: 21.541, usercpu_time_millis_training: 2269.842,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8079, f_measure: 0.7615, kappa: 0.5187, kb_relative_information_score: 1145.3858, mean_absolute_error: 0.3624, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7623, predictive_accuracy: 0.7625, prior_entropy: 0.9948, recall: 0.7625, relative_absolute_error: 0.73, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4212, root_relative_squared_error: 0.8455, scimark_benchmark: 1850.8185, usercpu_time_millis: 2195.609, usercpu_time_millis_testing: 35.215, usercpu_time_millis_training: 2160.394,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7527, f_measure: 0.7098, kappa: 0.4159, kb_relative_information_score: 598.582, mean_absolute_error: 0.4297, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7173, predictive_accuracy: 0.7145, prior_entropy: 0.9948, recall: 0.7145, relative_absolute_error: 0.8655, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4597, root_relative_squared_error: 0.9227, scimark_benchmark: 1827.059, usercpu_time_millis: 2357.565, usercpu_time_millis_testing: 21.606, usercpu_time_millis_training: 2335.959,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7495, f_measure: 0.7045, kappa: 0.4052, kb_relative_information_score: 575.8993, mean_absolute_error: 0.4324, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7123, predictive_accuracy: 0.7094, prior_entropy: 0.9948, recall: 0.7094, relative_absolute_error: 0.871, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4616, root_relative_squared_error: 0.9265, scimark_benchmark: 1825.7178, usercpu_time_millis: 2534.175, usercpu_time_millis_testing: 23.4, usercpu_time_millis_training: 2510.775,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7418, f_measure: 0.7029, kappa: 0.4019, kb_relative_information_score: 547.5882, mean_absolute_error: 0.4355, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7098, predictive_accuracy: 0.7075, prior_entropy: 0.9948, recall: 0.7075, relative_absolute_error: 0.8773, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4645, root_relative_squared_error: 0.9324, scimark_benchmark: 1853.454, usercpu_time_millis: 2621.483, usercpu_time_millis_testing: 20.487, usercpu_time_millis_training: 2600.996,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7462, f_measure: 0.7036, kappa: 0.4036, kb_relative_information_score: 553.8387, mean_absolute_error: 0.4349, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7115, predictive_accuracy: 0.7086, prior_entropy: 0.9948, recall: 0.7086, relative_absolute_error: 0.8761, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4631, root_relative_squared_error: 0.9295, scimark_benchmark: 1781.9619, usercpu_time_millis: 2610.971, usercpu_time_millis_testing: 22.212, usercpu_time_millis_training: 2588.759,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7467, f_measure: 0.7015, kappa: 0.3995, kb_relative_information_score: 549.5262, mean_absolute_error: 0.4355, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7098, predictive_accuracy: 0.7067, prior_entropy: 0.9948, recall: 0.7067, relative_absolute_error: 0.8772, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4631, root_relative_squared_error: 0.9295, scimark_benchmark: 1774.903, usercpu_time_millis: 2616.47, usercpu_time_millis_testing: 23.264, usercpu_time_millis_training: 2593.206,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7526, f_measure: 0.7099, kappa: 0.416, kb_relative_information_score: 593.0184, mean_absolute_error: 0.4304, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7171, predictive_accuracy: 0.7145, prior_entropy: 0.9948, recall: 0.7145, relative_absolute_error: 0.8669, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4599, root_relative_squared_error: 0.9232, scimark_benchmark: 1828.686, usercpu_time_millis: 2640.557, usercpu_time_millis_testing: 25.688, usercpu_time_millis_training: 2614.869,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7463, f_measure: 0.7042, kappa: 0.4047, kb_relative_information_score: 554.2748, mean_absolute_error: 0.4349, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.712, predictive_accuracy: 0.7091, prior_entropy: 0.9948, recall: 0.7091, relative_absolute_error: 0.876, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.463, root_relative_squared_error: 0.9293, scimark_benchmark: 1735.1328, usercpu_time_millis: 2698.613, usercpu_time_millis_testing: 22.374, usercpu_time_millis_training: 2676.239,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7289, f_measure: 0.6932, kappa: 0.3825, kb_relative_information_score: 531.0099, mean_absolute_error: 0.437, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7003, predictive_accuracy: 0.6982, prior_entropy: 0.9948, recall: 0.6982, relative_absolute_error: 0.8803, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4683, root_relative_squared_error: 0.94, scimark_benchmark: 1729.6335, usercpu_time_millis: 2717.221, usercpu_time_millis_testing: 16.321, usercpu_time_millis_training: 2700.9,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7491, f_measure: 0.7034, kappa: 0.4031, kb_relative_information_score: 567.7181, mean_absolute_error: 0.4333, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7111, predictive_accuracy: 0.7083, prior_entropy: 0.9948, recall: 0.7083, relative_absolute_error: 0.8729, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4619, root_relative_squared_error: 0.9271, scimark_benchmark: 1807.4271, usercpu_time_millis: 2560.674, usercpu_time_millis_testing: 22.916, usercpu_time_millis_training: 2537.758,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7532, f_measure: 0.7099, kappa: 0.416, kb_relative_information_score: 591.1258, mean_absolute_error: 0.4306, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7172, predictive_accuracy: 0.7145, prior_entropy: 0.9948, recall: 0.7145, relative_absolute_error: 0.8674, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4598, root_relative_squared_error: 0.923, scimark_benchmark: 1822.7891, usercpu_time_millis: 2619.401, usercpu_time_millis_testing: 25.768, usercpu_time_millis_training: 2593.633,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7394, f_measure: 0.6972, kappa: 0.3907, kb_relative_information_score: 533.3268, mean_absolute_error: 0.4372, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7053, predictive_accuracy: 0.7025, prior_entropy: 0.9948, recall: 0.7025, relative_absolute_error: 0.8807, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4657, root_relative_squared_error: 0.9348, scimark_benchmark: 1732.9618, usercpu_time_millis: 2761.455, usercpu_time_millis_testing: 19.755, usercpu_time_millis_training: 2741.7,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7458, f_measure: 0.7022, kappa: 0.4007, kb_relative_information_score: 557.1248, mean_absolute_error: 0.4345, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7102, predictive_accuracy: 0.7073, prior_entropy: 0.9948, recall: 0.7073, relative_absolute_error: 0.8752, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4632, root_relative_squared_error: 0.9297, scimark_benchmark: 1849.8294, usercpu_time_millis: 2691.298, usercpu_time_millis_testing: 21.956, usercpu_time_millis_training: 2669.342,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7461, f_measure: 0.703, kappa: 0.4024, kb_relative_information_score: 553.631, mean_absolute_error: 0.435, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.711, predictive_accuracy: 0.7081, prior_entropy: 0.9948, recall: 0.7081, relative_absolute_error: 0.8762, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4632, root_relative_squared_error: 0.9297, scimark_benchmark: 1769.1945, usercpu_time_millis: 2785.958, usercpu_time_millis_testing: 23.447, usercpu_time_millis_training: 2762.511,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7462, f_measure: 0.703, kappa: 0.4024, kb_relative_information_score: 558.2911, mean_absolute_error: 0.4344, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.711, predictive_accuracy: 0.7081, prior_entropy: 0.9948, recall: 0.7081, relative_absolute_error: 0.875, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.463, root_relative_squared_error: 0.9294, scimark_benchmark: 1853.3841, usercpu_time_millis: 2768.8, usercpu_time_millis_testing: 22.863, usercpu_time_millis_training: 2745.937,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7444, f_measure: 0.7005, kappa: 0.3971, kb_relative_information_score: 555.8307, mean_absolute_error: 0.4345, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.708, predictive_accuracy: 0.7054, prior_entropy: 0.9948, recall: 0.7054, relative_absolute_error: 0.8753, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4636, root_relative_squared_error: 0.9305, scimark_benchmark: 1822.1573, usercpu_time_millis: 2880.332, usercpu_time_millis_testing: 23.651, usercpu_time_millis_training: 2856.681,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7408, f_measure: 0.7006, kappa: 0.3976, kb_relative_information_score: 541.6931, mean_absolute_error: 0.4362, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7084, predictive_accuracy: 0.7057, prior_entropy: 0.9948, recall: 0.7057, relative_absolute_error: 0.8787, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.465, root_relative_squared_error: 0.9334, scimark_benchmark: 1855.0232, usercpu_time_millis: 2843.622, usercpu_time_millis_testing: 22.726, usercpu_time_millis_training: 2820.896,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7384, f_measure: 0.6951, kappa: 0.3867, kb_relative_information_score: 533.7299, mean_absolute_error: 0.4371, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7036, predictive_accuracy: 0.7006, prior_entropy: 0.9948, recall: 0.7006, relative_absolute_error: 0.8805, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.466, root_relative_squared_error: 0.9354, scimark_benchmark: 1776.548, usercpu_time_millis: 2975.657, usercpu_time_millis_testing: 23.473, usercpu_time_millis_training: 2952.184,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7313, f_measure: 0.6926, kappa: 0.3818, kb_relative_information_score: 527.022, mean_absolute_error: 0.4376, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7011, predictive_accuracy: 0.6982, prior_entropy: 0.9948, recall: 0.6982, relative_absolute_error: 0.8815, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4676, root_relative_squared_error: 0.9386, scimark_benchmark: 1722.143, usercpu_time_millis: 3059.384, usercpu_time_millis_testing: 20.999, usercpu_time_millis_training: 3038.385,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.743, f_measure: 0.702, kappa: 0.4003, kb_relative_information_score: 543.3409, mean_absolute_error: 0.4361, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7098, predictive_accuracy: 0.707, prior_entropy: 0.9948, recall: 0.707, relative_absolute_error: 0.8784, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4643, root_relative_squared_error: 0.9319, scimark_benchmark: 1814.0421, usercpu_time_millis: 2963.564, usercpu_time_millis_testing: 24.092, usercpu_time_millis_training: 2939.472,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7402, f_measure: 0.7003, kappa: 0.3972, kb_relative_information_score: 535.9979, mean_absolute_error: 0.4369, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7088, predictive_accuracy: 0.7057, prior_entropy: 0.9948, recall: 0.7057, relative_absolute_error: 0.8801, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4655, root_relative_squared_error: 0.9344, scimark_benchmark: 1831.5279, usercpu_time_millis: 3068.941, usercpu_time_millis_testing: 24.784, usercpu_time_millis_training: 3044.157,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7253, f_measure: 0.6925, kappa: 0.3812, kb_relative_information_score: 531.3876, mean_absolute_error: 0.4367, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7, predictive_accuracy: 0.6977, prior_entropy: 0.9948, recall: 0.6977, relative_absolute_error: 0.8797, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4697, root_relative_squared_error: 0.9428, scimark_benchmark: 1810.2635, usercpu_time_millis: 3302.293, usercpu_time_millis_testing: 21.643, usercpu_time_millis_training: 3280.65,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7257, f_measure: 0.6918, kappa: 0.3799, kb_relative_information_score: 522.1363, mean_absolute_error: 0.4379, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.6996, predictive_accuracy: 0.6971, prior_entropy: 0.9948, recall: 0.6971, relative_absolute_error: 0.882, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4696, root_relative_squared_error: 0.9426, scimark_benchmark: 1730.591, usercpu_time_millis: 3392.208, usercpu_time_millis_testing: 22.623, usercpu_time_millis_training: 3369.585,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7308, f_measure: 0.692, kappa: 0.3808, kb_relative_information_score: 520.1006, mean_absolute_error: 0.4385, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7012, predictive_accuracy: 0.6979, prior_entropy: 0.9948, recall: 0.6979, relative_absolute_error: 0.8832, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.468, root_relative_squared_error: 0.9394, scimark_benchmark: 1800.9139, usercpu_time_millis: 3241.953, usercpu_time_millis_testing: 22.909, usercpu_time_millis_training: 3219.044,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7251, f_measure: 0.6886, kappa: 0.3737, kb_relative_information_score: 524.6721, mean_absolute_error: 0.4375, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.6967, predictive_accuracy: 0.6942, prior_entropy: 0.9948, recall: 0.6942, relative_absolute_error: 0.8813, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4698, root_relative_squared_error: 0.943, scimark_benchmark: 1836.6101, usercpu_time_millis: 3350.529, usercpu_time_millis_testing: 20.398, usercpu_time_millis_training: 3330.131,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7282, f_measure: 0.6936, kappa: 0.3835, kb_relative_information_score: 521.503, mean_absolute_error: 0.4381, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7018, predictive_accuracy: 0.699, prior_entropy: 0.9948, recall: 0.699, relative_absolute_error: 0.8826, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4686, root_relative_squared_error: 0.9406, scimark_benchmark: 1825.7178, usercpu_time_millis: 3295.221, usercpu_time_millis_testing: 23.491, usercpu_time_millis_training: 3271.73,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7257, f_measure: 0.6914, kappa: 0.3789, kb_relative_information_score: 533.0992, mean_absolute_error: 0.4365, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.6989, predictive_accuracy: 0.6966, prior_entropy: 0.9948, recall: 0.6966, relative_absolute_error: 0.8792, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4694, root_relative_squared_error: 0.9421, scimark_benchmark: 1807.4271, usercpu_time_millis: 3281.799, usercpu_time_millis_testing: 20.765, usercpu_time_millis_training: 3261.034,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7273, f_measure: 0.6939, kappa: 0.384, kb_relative_information_score: 524.213, mean_absolute_error: 0.4377, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7013, predictive_accuracy: 0.699, prior_entropy: 0.9948, recall: 0.699, relative_absolute_error: 0.8818, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4689, root_relative_squared_error: 0.9411, scimark_benchmark: 1840.0237, usercpu_time_millis: 3328.985, usercpu_time_millis_testing: 23.351, usercpu_time_millis_training: 3305.634,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7189, f_measure: 0.6864, kappa: 0.3682, kb_relative_information_score: 554.1781, mean_absolute_error: 0.4332, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.6917, predictive_accuracy: 0.6907, prior_entropy: 0.9948, recall: 0.6907, relative_absolute_error: 0.8727, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4709, root_relative_squared_error: 0.9453, scimark_benchmark: 1821.7903, usercpu_time_millis: 3496.736, usercpu_time_millis_testing: 21.169, usercpu_time_millis_training: 3475.567,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7255, f_measure: 0.6912, kappa: 0.3787, kb_relative_information_score: 529.9386, mean_absolute_error: 0.4369, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.6991, predictive_accuracy: 0.6966, prior_entropy: 0.9948, recall: 0.6966, relative_absolute_error: 0.88, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4696, root_relative_squared_error: 0.9426, scimark_benchmark: 1817.9194, usercpu_time_millis: 3459.352, usercpu_time_millis_testing: 22.168, usercpu_time_millis_training: 3437.184,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7189, f_measure: 0.6859, kappa: 0.3672, kb_relative_information_score: 559.9885, mean_absolute_error: 0.4325, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.691, predictive_accuracy: 0.6902, prior_entropy: 0.9948, recall: 0.6902, relative_absolute_error: 0.8712, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4712, root_relative_squared_error: 0.9457, scimark_benchmark: 1720.6727, usercpu_time_millis: 3575.315, usercpu_time_millis_testing: 19.924, usercpu_time_millis_training: 3555.391,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.72, f_measure: 0.6869, kappa: 0.3694, kb_relative_information_score: 544.7748, mean_absolute_error: 0.4345, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.6928, predictive_accuracy: 0.6915, prior_entropy: 0.9948, recall: 0.6915, relative_absolute_error: 0.8753, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.471, root_relative_squared_error: 0.9453, scimark_benchmark: 1810.7034, usercpu_time_millis: 3522.136, usercpu_time_millis_testing: 20.978, usercpu_time_millis_training: 3501.158,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7222, f_measure: 0.6886, kappa: 0.3726, kb_relative_information_score: 540.697, mean_absolute_error: 0.4352, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.6939, predictive_accuracy: 0.6929, prior_entropy: 0.9948, recall: 0.6929, relative_absolute_error: 0.8767, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4702, root_relative_squared_error: 0.9438, scimark_benchmark: 1727.4447, usercpu_time_millis: 3580.579, usercpu_time_millis_testing: 21.626, usercpu_time_millis_training: 3558.953,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7257, f_measure: 0.6914, kappa: 0.3789, kb_relative_information_score: 533.1992, mean_absolute_error: 0.4365, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.6989, predictive_accuracy: 0.6966, prior_entropy: 0.9948, recall: 0.6966, relative_absolute_error: 0.8792, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4694, root_relative_squared_error: 0.9421, scimark_benchmark: 1816.1301, usercpu_time_millis: 3574.736, usercpu_time_millis_testing: 23.472, usercpu_time_millis_training: 3551.264,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7205, f_measure: 0.688, kappa: 0.3719, kb_relative_information_score: 543.2444, mean_absolute_error: 0.4347, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.6944, predictive_accuracy: 0.6929, prior_entropy: 0.9948, recall: 0.6929, relative_absolute_error: 0.8757, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4709, root_relative_squared_error: 0.9452, scimark_benchmark: 1853.9121, usercpu_time_millis: 3550.469, usercpu_time_millis_testing: 22.251, usercpu_time_millis_training: 3528.218,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.718, f_measure: 0.6872, kappa: 0.3697, kb_relative_information_score: 559.5127, mean_absolute_error: 0.4325, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.6919, predictive_accuracy: 0.6913, prior_entropy: 0.9948, recall: 0.6913, relative_absolute_error: 0.8712, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4714, root_relative_squared_error: 0.9461, scimark_benchmark: 1809.1765, usercpu_time_millis: 3556.408, usercpu_time_millis_testing: 20.805, usercpu_time_millis_training: 3535.603,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7152, f_measure: 0.6787, kappa: 0.3524, kb_relative_information_score: 614.5548, mean_absolute_error: 0.4247, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.683, predictive_accuracy: 0.6828, prior_entropy: 0.9948, recall: 0.6828, relative_absolute_error: 0.8555, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4729, root_relative_squared_error: 0.9491, scimark_benchmark: 1850.2875, usercpu_time_millis: 4140.668, usercpu_time_millis_testing: 19.711, usercpu_time_millis_training: 4120.957,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7145, f_measure: 0.6812, kappa: 0.3577, kb_relative_information_score: 615.5847, mean_absolute_error: 0.4245, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.6859, predictive_accuracy: 0.6854, prior_entropy: 0.9948, recall: 0.6854, relative_absolute_error: 0.8551, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4726, root_relative_squared_error: 0.9486, scimark_benchmark: 1832.5979, usercpu_time_millis: 4349.169, usercpu_time_millis_testing: 20.682, usercpu_time_millis_training: 4328.487,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7152, f_measure: 0.6829, kappa: 0.361, kb_relative_information_score: 614.2409, mean_absolute_error: 0.4248, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.6875, predictive_accuracy: 0.687, prior_entropy: 0.9948, recall: 0.687, relative_absolute_error: 0.8556, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4725, root_relative_squared_error: 0.9485, scimark_benchmark: 1817.7312, usercpu_time_millis: 4302.199, usercpu_time_millis_testing: 19.953, usercpu_time_millis_training: 4282.246,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7131, f_measure: 0.6764, kappa: 0.3479, kb_relative_information_score: 605.4168, mean_absolute_error: 0.4256, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.6809, predictive_accuracy: 0.6806, prior_entropy: 0.9948, recall: 0.6806, relative_absolute_error: 0.8574, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.473, root_relative_squared_error: 0.9494, scimark_benchmark: 1771.2327, usercpu_time_millis: 4360.419, usercpu_time_millis_testing: 20.665, usercpu_time_millis_training: 4339.754,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7131, f_measure: 0.6779, kappa: 0.351, kb_relative_information_score: 606.2218, mean_absolute_error: 0.4256, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.6826, predictive_accuracy: 0.6822, prior_entropy: 0.9948, recall: 0.6822, relative_absolute_error: 0.8572, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4729, root_relative_squared_error: 0.9491, scimark_benchmark: 1832.0698, usercpu_time_millis: 4448.804, usercpu_time_millis_testing: 20.512, usercpu_time_millis_training: 4428.292,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7126, f_measure: 0.6766, kappa: 0.3483, kb_relative_information_score: 607.1123, mean_absolute_error: 0.4254, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.6812, predictive_accuracy: 0.6809, prior_entropy: 0.9948, recall: 0.6809, relative_absolute_error: 0.8569, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4735, root_relative_squared_error: 0.9504, scimark_benchmark: 1844.5975, usercpu_time_millis: 4327.006, usercpu_time_millis_testing: 19.561, usercpu_time_millis_training: 4307.445,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7148, f_measure: 0.6815, kappa: 0.3582, kb_relative_information_score: 608.8286, mean_absolute_error: 0.4253, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.6862, predictive_accuracy: 0.6857, prior_entropy: 0.9948, recall: 0.6857, relative_absolute_error: 0.8568, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4726, root_relative_squared_error: 0.9485, scimark_benchmark: 1732.9618, usercpu_time_millis: 4467.852, usercpu_time_millis_testing: 20.252, usercpu_time_millis_training: 4447.6,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7129, f_measure: 0.6745, kappa: 0.344, kb_relative_information_score: 612.5553, mean_absolute_error: 0.4247, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.6789, predictive_accuracy: 0.6788, prior_entropy: 0.9948, recall: 0.6788, relative_absolute_error: 0.8555, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4734, root_relative_squared_error: 0.9501, scimark_benchmark: 1827.587, usercpu_time_millis: 4463.367, usercpu_time_millis_testing: 21.221, usercpu_time_millis_training: 4442.146,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7126, f_measure: 0.6736, kappa: 0.3425, kb_relative_information_score: 608.5684, mean_absolute_error: 0.4252, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.6787, predictive_accuracy: 0.6782, prior_entropy: 0.9948, recall: 0.6782, relative_absolute_error: 0.8565, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4735, root_relative_squared_error: 0.9504, scimark_benchmark: 1723.1004, usercpu_time_millis: 4403.415, usercpu_time_millis_testing: 17.411, usercpu_time_millis_training: 4386.004,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7125, f_measure: 0.6759, kappa: 0.347, kb_relative_information_score: 604.1969, mean_absolute_error: 0.4257, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.6808, predictive_accuracy: 0.6804, prior_entropy: 0.9948, recall: 0.6804, relative_absolute_error: 0.8576, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4733, root_relative_squared_error: 0.95, scimark_benchmark: 1853.5297, usercpu_time_millis: 4543.598, usercpu_time_millis_testing: 21.321, usercpu_time_millis_training: 4522.277,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7143, f_measure: 0.6803, kappa: 0.3557, kb_relative_information_score: 607.2147, mean_absolute_error: 0.4255, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.6847, predictive_accuracy: 0.6844, prior_entropy: 0.9948, recall: 0.6844, relative_absolute_error: 0.8571, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4727, root_relative_squared_error: 0.9487, scimark_benchmark: 1843.1261, usercpu_time_millis: 4483.472, usercpu_time_millis_testing: 21.748, usercpu_time_millis_training: 4461.724,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7135, f_measure: 0.6795, kappa: 0.354, kb_relative_information_score: 613.0498, mean_absolute_error: 0.4247, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.6838, predictive_accuracy: 0.6836, prior_entropy: 0.9948, recall: 0.6836, relative_absolute_error: 0.8555, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.473, root_relative_squared_error: 0.9495, scimark_benchmark: 1854.9533, usercpu_time_millis: 4540.037, usercpu_time_millis_testing: 21.143, usercpu_time_millis_training: 4518.894,

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