Task
Supervised Classification on Bioresponse

Supervised Classification on Bioresponse

Task 9910 Supervised Classification Bioresponse 15541 runs submitted
0 likes downloaded by 0 people , 0 total downloads 0 issues
Visibility: Public
Issue #Downvotes for this reason By


Metric:

15541 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: 0.8355, f_measure: 0.7553, kappa: 0.5063, kb_relative_information_score: 1343.0605, mean_absolute_error: 0.3343, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7579, predictive_accuracy: 0.7571, prior_entropy: 0.9948, recall: 0.7571, relative_absolute_error: 0.6735, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4053, root_relative_squared_error: 0.8136, scimark_benchmark: 1852.9259, usercpu_time_millis: 81.571, usercpu_time_millis_testing: 0.788, usercpu_time_millis_training: 80.783,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8138, f_measure: 0.7532, kappa: 0.5019, kb_relative_information_score: 894.1814, mean_absolute_error: 0.3974, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7551, predictive_accuracy: 0.7547, prior_entropy: 0.9948, recall: 0.7547, relative_absolute_error: 0.8006, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4267, root_relative_squared_error: 0.8565, scimark_benchmark: 1857.1082, usercpu_time_millis: 165.305, usercpu_time_millis_testing: 1.599, usercpu_time_millis_training: 163.706,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7937, f_measure: 0.7372, kappa: 0.4719, kb_relative_information_score: 881.1419, mean_absolute_error: 0.3991, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7383, predictive_accuracy: 0.7369, prior_entropy: 0.9948, recall: 0.7369, relative_absolute_error: 0.804, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4367, root_relative_squared_error: 0.8764, scimark_benchmark: 1777.8328, usercpu_time_millis: 149.51, usercpu_time_millis_testing: 1.498, usercpu_time_millis_training: 148.012,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8302, f_measure: 0.7508, kappa: 0.4973, kb_relative_information_score: 1303.3746, mean_absolute_error: 0.3406, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7538, predictive_accuracy: 0.7529, prior_entropy: 0.9948, recall: 0.7529, relative_absolute_error: 0.6862, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4085, root_relative_squared_error: 0.82, scimark_benchmark: 1837.2211, usercpu_time_millis: 164.402, usercpu_time_millis_testing: 0.802, usercpu_time_millis_training: 163.6,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.823, f_measure: 0.7583, kappa: 0.5123, kb_relative_information_score: 1094.4176, mean_absolute_error: 0.3711, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7608, predictive_accuracy: 0.7601, prior_entropy: 0.9948, recall: 0.7601, relative_absolute_error: 0.7476, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4156, root_relative_squared_error: 0.8342, scimark_benchmark: 1856.0123, usercpu_time_millis: 105.477, usercpu_time_millis_testing: 0.925, usercpu_time_millis_training: 104.552,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8516, f_measure: 0.7823, kappa: 0.561, kb_relative_information_score: 1541.8456, mean_absolute_error: 0.3064, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7824, predictive_accuracy: 0.7827, prior_entropy: 0.9948, recall: 0.7827, relative_absolute_error: 0.6172, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3942, root_relative_squared_error: 0.7912, scimark_benchmark: 1856.5802, usercpu_time_millis: 111.794, usercpu_time_millis_testing: 0.799, usercpu_time_millis_training: 110.995,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8345, f_measure: 0.7657, kappa: 0.5272, kb_relative_information_score: 1282.5962, mean_absolute_error: 0.3442, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7673, predictive_accuracy: 0.767, prior_entropy: 0.9948, recall: 0.767, relative_absolute_error: 0.6933, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4066, root_relative_squared_error: 0.8161, scimark_benchmark: 1848.916, usercpu_time_millis: 188.217, usercpu_time_millis_testing: 0.882, usercpu_time_millis_training: 187.335,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8312, f_measure: 0.7646, kappa: 0.525, kb_relative_information_score: 1207.8533, mean_absolute_error: 0.3553, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7669, predictive_accuracy: 0.7662, prior_entropy: 0.9948, recall: 0.7662, relative_absolute_error: 0.7158, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4088, root_relative_squared_error: 0.8206, scimark_benchmark: 1851.9456, usercpu_time_millis: 226.163, usercpu_time_millis_testing: 0.972, usercpu_time_millis_training: 225.191,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8288, f_measure: 0.7618, kappa: 0.5194, kb_relative_information_score: 1197.6572, mean_absolute_error: 0.3566, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7643, predictive_accuracy: 0.7635, prior_entropy: 0.9948, recall: 0.7635, relative_absolute_error: 0.7184, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4106, root_relative_squared_error: 0.8242, scimark_benchmark: 1850.4554, usercpu_time_millis: 241.227, usercpu_time_millis_testing: 0.895, usercpu_time_millis_training: 240.332,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7797, f_measure: 0.7372, kappa: 0.4719, kb_relative_information_score: 818.2806, mean_absolute_error: 0.407, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7383, predictive_accuracy: 0.7369, prior_entropy: 0.9948, recall: 0.7369, relative_absolute_error: 0.8198, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.439, root_relative_squared_error: 0.8812, scimark_benchmark: 1832.0698, usercpu_time_millis: 205.74, usercpu_time_millis_testing: 1.274, usercpu_time_millis_training: 204.466,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.782, f_measure: 0.7372, kappa: 0.4719, kb_relative_information_score: 817.4979, mean_absolute_error: 0.4071, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7383, predictive_accuracy: 0.7369, prior_entropy: 0.9948, recall: 0.7369, relative_absolute_error: 0.82, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.439, root_relative_squared_error: 0.8812, scimark_benchmark: 1844.0664, usercpu_time_millis: 258.486, usercpu_time_millis_testing: 1.528, usercpu_time_millis_training: 256.958,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8244, f_measure: 0.7584, kappa: 0.5128, kb_relative_information_score: 1220.0597, mean_absolute_error: 0.3533, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7629, predictive_accuracy: 0.7609, prior_entropy: 0.9948, recall: 0.7609, relative_absolute_error: 0.7117, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4117, root_relative_squared_error: 0.8264, scimark_benchmark: 1853.9121, usercpu_time_millis: 230.761, usercpu_time_millis_testing: 0.854, usercpu_time_millis_training: 229.907,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7915, f_measure: 0.7372, kappa: 0.4719, kb_relative_information_score: 939.3255, mean_absolute_error: 0.3915, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7383, predictive_accuracy: 0.7369, prior_entropy: 0.9948, recall: 0.7369, relative_absolute_error: 0.7887, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.436, root_relative_squared_error: 0.8751, scimark_benchmark: 1833.2854, usercpu_time_millis: 310.614, usercpu_time_millis_testing: 1.588, usercpu_time_millis_training: 309.026,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7938, f_measure: 0.7372, kappa: 0.4719, kb_relative_information_score: 921.114, mean_absolute_error: 0.3939, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7383, predictive_accuracy: 0.7369, prior_entropy: 0.9948, recall: 0.7369, relative_absolute_error: 0.7935, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4354, root_relative_squared_error: 0.8738, scimark_benchmark: 1781.1213, usercpu_time_millis: 281.577, usercpu_time_millis_testing: 1.411, usercpu_time_millis_training: 280.166,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7605, f_measure: 0.7372, kappa: 0.4719, kb_relative_information_score: 994.9516, mean_absolute_error: 0.3839, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7383, predictive_accuracy: 0.7369, prior_entropy: 0.9948, recall: 0.7369, relative_absolute_error: 0.7734, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4372, root_relative_squared_error: 0.8775, scimark_benchmark: 1824.4185, usercpu_time_millis: 228.794, usercpu_time_millis_testing: 1.144, usercpu_time_millis_training: 227.65,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8208, f_measure: 0.7477, kappa: 0.4911, kb_relative_information_score: 1252.5981, mean_absolute_error: 0.3481, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7518, predictive_accuracy: 0.7502, prior_entropy: 0.9948, recall: 0.7502, relative_absolute_error: 0.7013, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4136, root_relative_squared_error: 0.8302, scimark_benchmark: 1854.4951, usercpu_time_millis: 296.524, usercpu_time_millis_testing: 0.849, usercpu_time_millis_training: 295.675,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4996, f_measure: 0.3813, kb_relative_information_score: -0.2061, mean_absolute_error: 0.4964, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.294, predictive_accuracy: 0.5423, prior_entropy: 0.9948, recall: 0.5423, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4982, root_relative_squared_error: 1, scimark_benchmark: 1842.598, usercpu_time_millis: 6.588, usercpu_time_millis_testing: 1.03, usercpu_time_millis_training: 5.558,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7765, f_measure: 0.6996, kappa: 0.3954, kb_relative_information_score: 350.347, mean_absolute_error: 0.4608, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7072, predictive_accuracy: 0.7046, prior_entropy: 0.9948, recall: 0.7046, relative_absolute_error: 0.9282, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4673, root_relative_squared_error: 0.9379, scimark_benchmark: 1842.6679, usercpu_time_millis: 8.708, usercpu_time_millis_testing: 0.788, usercpu_time_millis_training: 7.92,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7678, f_measure: 0.7372, kappa: 0.4719, kb_relative_information_score: 976.6875, mean_absolute_error: 0.3865, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7383, predictive_accuracy: 0.7369, prior_entropy: 0.9948, recall: 0.7369, relative_absolute_error: 0.7786, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4386, root_relative_squared_error: 0.8803, scimark_benchmark: 1851.4743, usercpu_time_millis: 260.776, usercpu_time_millis_testing: 1.268, usercpu_time_millis_training: 259.508,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4998, f_measure: 0.3813, kb_relative_information_score: 0.0472, mean_absolute_error: 0.4964, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.294, predictive_accuracy: 0.5423, prior_entropy: 0.9948, recall: 0.5423, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4982, root_relative_squared_error: 1, scimark_benchmark: 1848.8462, usercpu_time_millis: 4.251, usercpu_time_millis_testing: 0.663, usercpu_time_millis_training: 3.588,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4997, f_measure: 0.3813, kb_relative_information_score: -0.2098, mean_absolute_error: 0.4964, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.294, predictive_accuracy: 0.5423, prior_entropy: 0.9948, recall: 0.5423, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4982, root_relative_squared_error: 1, scimark_benchmark: 1856.6531, usercpu_time_millis: 6.438, usercpu_time_millis_testing: 1.001, usercpu_time_millis_training: 5.437,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4994, f_measure: 0.3813, kb_relative_information_score: 0.0058, mean_absolute_error: 0.4964, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.294, predictive_accuracy: 0.5423, prior_entropy: 0.9948, recall: 0.5423, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4982, root_relative_squared_error: 1, scimark_benchmark: 1737.4437, usercpu_time_millis: 6.822, usercpu_time_millis_testing: 1.123, usercpu_time_millis_training: 5.699,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7767, f_measure: 0.7315, kappa: 0.4585, kb_relative_information_score: 878.977, mean_absolute_error: 0.3979, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7314, predictive_accuracy: 0.7318, prior_entropy: 0.9948, recall: 0.7318, relative_absolute_error: 0.8016, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4364, root_relative_squared_error: 0.8759, scimark_benchmark: 1853.454, usercpu_time_millis: 4.435, usercpu_time_millis_testing: 0.68, usercpu_time_millis_training: 3.755,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5001, f_measure: 0.3813, kb_relative_information_score: -0.1386, mean_absolute_error: 0.4964, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.294, predictive_accuracy: 0.5423, prior_entropy: 0.9948, recall: 0.5423, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4982, root_relative_squared_error: 1, scimark_benchmark: 1855.4813, usercpu_time_millis: 8.931, usercpu_time_millis_testing: 1.449, usercpu_time_millis_training: 7.482,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4992, f_measure: 0.3813, kb_relative_information_score: 0.0673, mean_absolute_error: 0.4964, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.294, predictive_accuracy: 0.5423, prior_entropy: 0.9948, recall: 0.5423, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4982, root_relative_squared_error: 1, scimark_benchmark: 1853.9121, usercpu_time_millis: 8.852, usercpu_time_millis_testing: 1.345, usercpu_time_millis_training: 7.507,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4989, f_measure: 0.3813, kb_relative_information_score: 0.0459, mean_absolute_error: 0.4964, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.294, predictive_accuracy: 0.5423, prior_entropy: 0.9948, recall: 0.5423, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4982, root_relative_squared_error: 1, scimark_benchmark: 1849.9303, usercpu_time_millis: 8.407, usercpu_time_millis_testing: 1.427, usercpu_time_millis_training: 6.98,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3813, kb_relative_information_score: 0.1727, mean_absolute_error: 0.4964, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.294, predictive_accuracy: 0.5423, prior_entropy: 0.9948, recall: 0.5423, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4982, root_relative_squared_error: 1, scimark_benchmark: 1853.454, usercpu_time_millis: 4.682, usercpu_time_millis_testing: 0.72, usercpu_time_millis_training: 3.962,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8048, f_measure: 0.7357, kappa: 0.4681, kb_relative_information_score: 887.1294, mean_absolute_error: 0.3983, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7361, predictive_accuracy: 0.7355, prior_entropy: 0.9948, recall: 0.7355, relative_absolute_error: 0.8022, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.43, root_relative_squared_error: 0.863, scimark_benchmark: 1859.6666, usercpu_time_millis: 281.319, usercpu_time_millis_testing: 1.824, usercpu_time_millis_training: 279.495,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.3813, kb_relative_information_score: 0.1623, mean_absolute_error: 0.4964, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.294, predictive_accuracy: 0.5423, prior_entropy: 0.9948, recall: 0.5423, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4982, root_relative_squared_error: 1, scimark_benchmark: 1828.158, usercpu_time_millis: 7.627, usercpu_time_millis_testing: 1.08, usercpu_time_millis_training: 6.547,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4995, f_measure: 0.3813, kb_relative_information_score: 0.0111, mean_absolute_error: 0.4964, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.294, predictive_accuracy: 0.5423, prior_entropy: 0.9948, recall: 0.5423, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4982, root_relative_squared_error: 1, scimark_benchmark: 1857.1082, usercpu_time_millis: 6.156, usercpu_time_millis_testing: 0.967, usercpu_time_millis_training: 5.189,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5007, f_measure: 0.3813, kb_relative_information_score: -0.6642, mean_absolute_error: 0.4965, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.294, predictive_accuracy: 0.5423, prior_entropy: 0.9948, recall: 0.5423, relative_absolute_error: 1.0001, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4982, root_relative_squared_error: 1, scimark_benchmark: 1859.1356, usercpu_time_millis: 4.665, usercpu_time_millis_testing: 0.705, usercpu_time_millis_training: 3.96,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7717, f_measure: 0.7372, kappa: 0.4719, kb_relative_information_score: 953.8928, mean_absolute_error: 0.3896, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7383, predictive_accuracy: 0.7369, prior_entropy: 0.9948, recall: 0.7369, relative_absolute_error: 0.7847, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4385, root_relative_squared_error: 0.8801, scimark_benchmark: 1853.9121, usercpu_time_millis: 291.344, usercpu_time_millis_testing: 1.455, usercpu_time_millis_training: 289.889,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8368, f_measure: 0.7692, kappa: 0.5344, kb_relative_information_score: 1193.8059, mean_absolute_error: 0.3566, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7697, predictive_accuracy: 0.7699, prior_entropy: 0.9948, recall: 0.7699, relative_absolute_error: 0.7184, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4075, root_relative_squared_error: 0.818, scimark_benchmark: 1834.1127, usercpu_time_millis: 91.603, usercpu_time_millis_testing: 1.187, usercpu_time_millis_training: 90.416,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4995, f_measure: 0.3813, kb_relative_information_score: -0.2453, mean_absolute_error: 0.4965, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.294, predictive_accuracy: 0.5423, prior_entropy: 0.9948, recall: 0.5423, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4982, root_relative_squared_error: 1, scimark_benchmark: 1851.9456, usercpu_time_millis: 5.1, usercpu_time_millis_testing: 0.755, usercpu_time_millis_training: 4.345,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8012, f_measure: 0.7375, kappa: 0.4705, kb_relative_information_score: 623.9259, mean_absolute_error: 0.43, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7377, predictive_accuracy: 0.7382, prior_entropy: 0.9948, recall: 0.7382, relative_absolute_error: 0.8662, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4457, root_relative_squared_error: 0.8946, scimark_benchmark: 1853.9121, usercpu_time_millis: 39.639, usercpu_time_millis_testing: 1.207, usercpu_time_millis_training: 38.432,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.779, f_measure: 0.7372, kappa: 0.4719, kb_relative_information_score: 951.9306, mean_absolute_error: 0.3899, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7383, predictive_accuracy: 0.7369, prior_entropy: 0.9948, recall: 0.7369, relative_absolute_error: 0.7853, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4371, root_relative_squared_error: 0.8773, scimark_benchmark: 1853.454, usercpu_time_millis: 14.794, usercpu_time_millis_testing: 0.692, usercpu_time_millis_training: 14.102,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4993, f_measure: 0.3813, kb_relative_information_score: 0.111, mean_absolute_error: 0.4964, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.294, predictive_accuracy: 0.5423, prior_entropy: 0.9948, recall: 0.5423, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4982, root_relative_squared_error: 1, scimark_benchmark: 1804.9276, usercpu_time_millis: 7.626, usercpu_time_millis_testing: 1.194, usercpu_time_millis_training: 6.432,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7735, f_measure: 0.7003, kappa: 0.3955, kb_relative_information_score: 391.1611, mean_absolute_error: 0.4562, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7035, predictive_accuracy: 0.7033, prior_entropy: 0.9948, recall: 0.7033, relative_absolute_error: 0.919, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4641, root_relative_squared_error: 0.9315, scimark_benchmark: 1853.9121, usercpu_time_millis: 29.944, usercpu_time_millis_testing: 1.788, usercpu_time_millis_training: 28.156,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7815, f_measure: 0.7372, kappa: 0.4719, kb_relative_information_score: 899.3515, mean_absolute_error: 0.3968, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7383, predictive_accuracy: 0.7369, prior_entropy: 0.9948, recall: 0.7369, relative_absolute_error: 0.7993, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4376, root_relative_squared_error: 0.8784, scimark_benchmark: 1785.7432, usercpu_time_millis: 19.17, usercpu_time_millis_testing: 0.721, usercpu_time_millis_training: 18.449,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.829, f_measure: 0.7596, kappa: 0.5148, kb_relative_information_score: 1077.3094, mean_absolute_error: 0.373, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7605, predictive_accuracy: 0.7606, prior_entropy: 0.9948, recall: 0.7606, relative_absolute_error: 0.7514, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4143, root_relative_squared_error: 0.8316, scimark_benchmark: 1848.8462, usercpu_time_millis: 53.198, usercpu_time_millis_testing: 0.931, usercpu_time_millis_training: 52.267,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7972, f_measure: 0.7372, kappa: 0.4714, kb_relative_information_score: 845.0194, mean_absolute_error: 0.4037, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7378, predictive_accuracy: 0.7369, prior_entropy: 0.9948, recall: 0.7369, relative_absolute_error: 0.8132, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4345, root_relative_squared_error: 0.8722, scimark_benchmark: 1858.6775, usercpu_time_millis: 57.991, usercpu_time_millis_testing: 0.817, usercpu_time_millis_training: 57.174,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.822, f_measure: 0.7535, kappa: 0.5026, kb_relative_information_score: 1100.4919, mean_absolute_error: 0.3703, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7547, predictive_accuracy: 0.7547, prior_entropy: 0.9948, recall: 0.7547, relative_absolute_error: 0.7459, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4163, root_relative_squared_error: 0.8356, scimark_benchmark: 1848.8462, usercpu_time_millis: 56.985, usercpu_time_millis_testing: 0.807, usercpu_time_millis_training: 56.178,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8574, f_measure: 0.7924, kappa: 0.5813, kb_relative_information_score: 1482.1256, mean_absolute_error: 0.3167, 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: 0.638, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3908, root_relative_squared_error: 0.7844, scimark_benchmark: 1829.1442, usercpu_time_millis: 33.656, usercpu_time_millis_testing: 0.85, usercpu_time_millis_training: 32.806,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8301, f_measure: 0.7583, kappa: 0.5123, kb_relative_information_score: 987.0092, mean_absolute_error: 0.3846, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7586, predictive_accuracy: 0.759, prior_entropy: 0.9948, recall: 0.759, relative_absolute_error: 0.7748, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4185, root_relative_squared_error: 0.8401, scimark_benchmark: 1856.5802, usercpu_time_millis: 85.653, usercpu_time_millis_testing: 1.733, usercpu_time_millis_training: 83.92,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7989, f_measure: 0.7374, kappa: 0.4709, kb_relative_information_score: 738.388, mean_absolute_error: 0.4167, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7373, predictive_accuracy: 0.7374, prior_entropy: 0.9948, recall: 0.7374, relative_absolute_error: 0.8395, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4387, root_relative_squared_error: 0.8805, scimark_benchmark: 1848.2024, usercpu_time_millis: 73.514, usercpu_time_millis_testing: 0.959, usercpu_time_millis_training: 72.555,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8413, f_measure: 0.7657, kappa: 0.5276, kb_relative_information_score: 985.5197, mean_absolute_error: 0.3848, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7656, predictive_accuracy: 0.7659, prior_entropy: 0.9948, recall: 0.7659, relative_absolute_error: 0.7751, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4164, root_relative_squared_error: 0.8359, scimark_benchmark: 1854.9533, usercpu_time_millis: 77.435, usercpu_time_millis_testing: 3.443, usercpu_time_millis_training: 73.992,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4996, f_measure: 0.3813, kb_relative_information_score: -0.586, mean_absolute_error: 0.4965, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.294, predictive_accuracy: 0.5423, prior_entropy: 0.9948, recall: 0.5423, relative_absolute_error: 1.0001, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4982, root_relative_squared_error: 1, scimark_benchmark: 1853.454, usercpu_time_millis: 5.18, usercpu_time_millis_testing: 0.766, usercpu_time_millis_training: 4.414,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4995, f_measure: 0.3813, kb_relative_information_score: -0.1524, mean_absolute_error: 0.4964, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.294, predictive_accuracy: 0.5423, prior_entropy: 0.9948, recall: 0.5423, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4982, root_relative_squared_error: 1, scimark_benchmark: 1844.7681, usercpu_time_millis: 9.041, usercpu_time_millis_testing: 1.359, usercpu_time_millis_training: 7.682,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7765, f_measure: 0.6812, kappa: 0.3585, kb_relative_information_score: 412.3005, mean_absolute_error: 0.4539, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.6887, predictive_accuracy: 0.6868, prior_entropy: 0.9948, recall: 0.6868, relative_absolute_error: 0.9142, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4622, root_relative_squared_error: 0.9278, scimark_benchmark: 1830.1853, usercpu_time_millis: 12.097, usercpu_time_millis_testing: 1.085, usercpu_time_millis_training: 11.012,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4993, f_measure: 0.3813, kb_relative_information_score: -0.1113, mean_absolute_error: 0.4964, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.294, predictive_accuracy: 0.5423, prior_entropy: 0.9948, recall: 0.5423, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4982, root_relative_squared_error: 1, scimark_benchmark: 1857.5664, usercpu_time_millis: 8.951, usercpu_time_millis_testing: 1.453, usercpu_time_millis_training: 7.498,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8558, f_measure: 0.7848, kappa: 0.5661, kb_relative_information_score: 1133.221, mean_absolute_error: 0.3659, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7848, predictive_accuracy: 0.7851, prior_entropy: 0.9948, recall: 0.7851, relative_absolute_error: 0.737, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4047, root_relative_squared_error: 0.8124, scimark_benchmark: 1849.3742, usercpu_time_millis: 79.203, usercpu_time_millis_testing: 3.129, usercpu_time_millis_training: 76.074,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8414, f_measure: 0.7746, kappa: 0.5453, kb_relative_information_score: 1367.2117, mean_absolute_error: 0.3323, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7747, predictive_accuracy: 0.775, prior_entropy: 0.9948, recall: 0.775, relative_absolute_error: 0.6695, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.401, root_relative_squared_error: 0.8048, scimark_benchmark: 1834.2992, usercpu_time_millis: 76.693, usercpu_time_millis_testing: 0.84, usercpu_time_millis_training: 75.853,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8186, f_measure: 0.7537, kappa: 0.5031, kb_relative_information_score: 1016.6597, mean_absolute_error: 0.3814, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7538, predictive_accuracy: 0.7542, prior_entropy: 0.9948, recall: 0.7542, relative_absolute_error: 0.7683, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4202, root_relative_squared_error: 0.8435, scimark_benchmark: 1831.6117, usercpu_time_millis: 67.28, usercpu_time_millis_testing: 0.959, usercpu_time_millis_training: 66.321,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.797, f_measure: 0.7243, kappa: 0.4439, kb_relative_information_score: 630.0565, mean_absolute_error: 0.429, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7245, predictive_accuracy: 0.7251, prior_entropy: 0.9948, recall: 0.7251, relative_absolute_error: 0.8642, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4453, root_relative_squared_error: 0.8938, scimark_benchmark: 1837.6484, usercpu_time_millis: 70.429, usercpu_time_millis_testing: 1.849, usercpu_time_millis_training: 68.58,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.3813, kb_relative_information_score: 0.0258, mean_absolute_error: 0.4964, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.294, predictive_accuracy: 0.5423, prior_entropy: 0.9948, recall: 0.5423, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4982, root_relative_squared_error: 1, scimark_benchmark: 1817.6993, usercpu_time_millis: 7.649, usercpu_time_millis_testing: 1.093, usercpu_time_millis_training: 6.556,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4998, f_measure: 0.3813, kb_relative_information_score: 0.1117, mean_absolute_error: 0.4964, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.294, predictive_accuracy: 0.5423, prior_entropy: 0.9948, recall: 0.5423, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4982, root_relative_squared_error: 1, scimark_benchmark: 1823.3201, usercpu_time_millis: 6.665, usercpu_time_millis_testing: 1.028, usercpu_time_millis_training: 5.637,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4993, f_measure: 0.3813, kb_relative_information_score: 0.0071, mean_absolute_error: 0.4964, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.294, predictive_accuracy: 0.5423, prior_entropy: 0.9948, recall: 0.5423, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4982, root_relative_squared_error: 1, scimark_benchmark: 1846.6241, usercpu_time_millis: 5.602, usercpu_time_millis_testing: 0.959, usercpu_time_millis_training: 4.643,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8492, f_measure: 0.7745, kappa: 0.5451, kb_relative_information_score: 1041.2084, mean_absolute_error: 0.3777, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7747, predictive_accuracy: 0.775, prior_entropy: 0.9948, recall: 0.775, relative_absolute_error: 0.7609, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4114, root_relative_squared_error: 0.8257, scimark_benchmark: 1857.5664, usercpu_time_millis: 8.502, usercpu_time_millis_testing: 1.155, usercpu_time_millis_training: 7.347,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8329, f_measure: 0.7672, kappa: 0.5304, kb_relative_information_score: 1378.869, mean_absolute_error: 0.3284, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7675, predictive_accuracy: 0.7678, prior_entropy: 0.9948, recall: 0.7678, relative_absolute_error: 0.6615, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4065, root_relative_squared_error: 0.8158, scimark_benchmark: 1855.6669, usercpu_time_millis: 27.326, usercpu_time_millis_testing: 0.737, usercpu_time_millis_training: 26.589,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4994, f_measure: 0.3813, kb_relative_information_score: -0.2882, mean_absolute_error: 0.4965, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.294, predictive_accuracy: 0.5423, prior_entropy: 0.9948, recall: 0.5423, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4982, root_relative_squared_error: 1, scimark_benchmark: 1857.0384, usercpu_time_millis: 5.407, usercpu_time_millis_testing: 0.808, usercpu_time_millis_training: 4.599,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4994, f_measure: 0.3813, kb_relative_information_score: -0.0829, mean_absolute_error: 0.4964, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.294, predictive_accuracy: 0.5423, prior_entropy: 0.9948, recall: 0.5423, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4982, root_relative_squared_error: 1, scimark_benchmark: 1846.1643, usercpu_time_millis: 7.672, usercpu_time_millis_testing: 1.209, usercpu_time_millis_training: 6.463,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7775, f_measure: 0.7277, kappa: 0.4511, kb_relative_information_score: 1390.7335, mean_absolute_error: 0.3175, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7276, predictive_accuracy: 0.7281, prior_entropy: 0.9948, recall: 0.7281, relative_absolute_error: 0.6395, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4494, root_relative_squared_error: 0.902, scimark_benchmark: 1855.0232, usercpu_time_millis: 8.75, usercpu_time_millis_testing: 0.675, usercpu_time_millis_training: 8.075,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.3813, kb_relative_information_score: -0.1682, mean_absolute_error: 0.4964, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.294, predictive_accuracy: 0.5423, prior_entropy: 0.9948, recall: 0.5423, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4982, root_relative_squared_error: 1, scimark_benchmark: 1839.5885, usercpu_time_millis: 6.777, usercpu_time_millis_testing: 1.048, usercpu_time_millis_training: 5.729,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4998, f_measure: 0.3813, kb_relative_information_score: -0.1756, mean_absolute_error: 0.4964, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.294, predictive_accuracy: 0.5423, prior_entropy: 0.9948, recall: 0.5423, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4982, root_relative_squared_error: 1, scimark_benchmark: 1857.1082, usercpu_time_millis: 6.735, usercpu_time_millis_testing: 0.965, usercpu_time_millis_training: 5.77,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5006, f_measure: 0.3813, kb_relative_information_score: -0.9393, mean_absolute_error: 0.4965, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.294, predictive_accuracy: 0.5423, prior_entropy: 0.9948, recall: 0.5423, relative_absolute_error: 1.0001, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4982, root_relative_squared_error: 1, scimark_benchmark: 1855.4813, usercpu_time_millis: 4.853, usercpu_time_millis_testing: 0.73, usercpu_time_millis_training: 4.123,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4993, f_measure: 0.3813, kb_relative_information_score: 0.1061, mean_absolute_error: 0.4964, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.294, predictive_accuracy: 0.5423, prior_entropy: 0.9948, recall: 0.5423, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4982, root_relative_squared_error: 1, scimark_benchmark: 1839.5885, usercpu_time_millis: 9.159, usercpu_time_millis_testing: 1.356, usercpu_time_millis_training: 7.803,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8781, f_measure: 0.8105, kappa: 0.6179, kb_relative_information_score: 1563.6693, mean_absolute_error: 0.3075, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8105, predictive_accuracy: 0.8107, prior_entropy: 0.9948, recall: 0.8107, relative_absolute_error: 0.6194, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3774, root_relative_squared_error: 0.7575, scimark_benchmark: 1847.2753, usercpu_time_millis: 53.538, usercpu_time_millis_testing: 1.102, usercpu_time_millis_training: 52.436,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4995, f_measure: 0.3813, kb_relative_information_score: 0.0577, mean_absolute_error: 0.4964, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.294, predictive_accuracy: 0.5423, prior_entropy: 0.9948, recall: 0.5423, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4982, root_relative_squared_error: 1, scimark_benchmark: 1848.6795, usercpu_time_millis: 6.397, usercpu_time_millis_testing: 0.949, usercpu_time_millis_training: 5.448,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4994, f_measure: 0.3813, kb_relative_information_score: -0.0448, mean_absolute_error: 0.4964, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.294, predictive_accuracy: 0.5423, prior_entropy: 0.9948, recall: 0.5423, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4982, root_relative_squared_error: 1, scimark_benchmark: 1856.0123, usercpu_time_millis: 7.851, usercpu_time_millis_testing: 1.234, usercpu_time_millis_training: 6.617,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5005, f_measure: 0.3813, kb_relative_information_score: -1.0496, mean_absolute_error: 0.4965, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.294, predictive_accuracy: 0.5423, prior_entropy: 0.9948, recall: 0.5423, relative_absolute_error: 1.0002, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4982, root_relative_squared_error: 1, scimark_benchmark: 1855.0232, usercpu_time_millis: 4.545, usercpu_time_millis_testing: 0.689, usercpu_time_millis_training: 3.856,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6972, f_measure: 0.6853, kappa: 0.3674, kb_relative_information_score: 1375.371, mean_absolute_error: 0.3132, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.6862, predictive_accuracy: 0.6849, prior_entropy: 0.9948, recall: 0.6849, relative_absolute_error: 0.631, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.5487, root_relative_squared_error: 1.1014, scimark_benchmark: 1856.5802, usercpu_time_millis: 5.553, usercpu_time_millis_testing: 0.682, usercpu_time_millis_training: 4.871,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8271, f_measure: 0.7606, kappa: 0.5169, kb_relative_information_score: 1203.3247, mean_absolute_error: 0.3546, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7611, predictive_accuracy: 0.7614, prior_entropy: 0.9948, recall: 0.7614, relative_absolute_error: 0.7144, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.411, root_relative_squared_error: 0.8249, scimark_benchmark: 1849.8294, usercpu_time_millis: 20.703, usercpu_time_millis_testing: 0.713, usercpu_time_millis_training: 19.99,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8134, f_measure: 0.7491, kappa: 0.4938, kb_relative_information_score: 834.9733, mean_absolute_error: 0.4044, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.751, predictive_accuracy: 0.7507, prior_entropy: 0.9948, recall: 0.7507, relative_absolute_error: 0.8146, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4301, root_relative_squared_error: 0.8633, scimark_benchmark: 1823.8182, usercpu_time_millis: 27.714, usercpu_time_millis_testing: 0.812, usercpu_time_millis_training: 26.902,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8646, f_measure: 0.7941, kappa: 0.5847, kb_relative_information_score: 1188.8864, mean_absolute_error: 0.3591, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7942, predictive_accuracy: 0.7945, prior_entropy: 0.9948, recall: 0.7945, relative_absolute_error: 0.7233, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3994, root_relative_squared_error: 0.8016, scimark_benchmark: 1803.582, usercpu_time_millis: 30.192, usercpu_time_millis_testing: 1.658, usercpu_time_millis_training: 28.534,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8103, f_measure: 0.7419, kappa: 0.48, kb_relative_information_score: 973.3753, mean_absolute_error: 0.3873, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7419, predictive_accuracy: 0.7419, prior_entropy: 0.9948, recall: 0.7419, relative_absolute_error: 0.7801, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4247, root_relative_squared_error: 0.8524, scimark_benchmark: 1856.5802, usercpu_time_millis: 59.937, usercpu_time_millis_testing: 0.872, usercpu_time_millis_training: 59.065,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8284, f_measure: 0.7573, kappa: 0.5103, kb_relative_information_score: 974.4579, mean_absolute_error: 0.3863, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7575, predictive_accuracy: 0.7579, prior_entropy: 0.9948, recall: 0.7579, relative_absolute_error: 0.7781, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4197, root_relative_squared_error: 0.8423, scimark_benchmark: 1827.287, usercpu_time_millis: 25.027, usercpu_time_millis_testing: 0.755, usercpu_time_millis_training: 24.272,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4996, f_measure: 0.3813, kb_relative_information_score: -0.024, mean_absolute_error: 0.4964, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.294, predictive_accuracy: 0.5423, prior_entropy: 0.9948, recall: 0.5423, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4982, root_relative_squared_error: 1, scimark_benchmark: 1745.9439, usercpu_time_millis: 6.928, usercpu_time_millis_testing: 1.116, usercpu_time_millis_training: 5.812,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7932, f_measure: 0.7372, kappa: 0.4719, kb_relative_information_score: 957.0831, mean_absolute_error: 0.3892, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7383, predictive_accuracy: 0.7369, prior_entropy: 0.9948, recall: 0.7369, relative_absolute_error: 0.7839, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4372, root_relative_squared_error: 0.8776, scimark_benchmark: 1848.321, usercpu_time_millis: 65.11, usercpu_time_millis_testing: 1.019, usercpu_time_millis_training: 64.091,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8002, f_measure: 0.7176, kappa: 0.4303, kb_relative_information_score: 659.5506, mean_absolute_error: 0.4249, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7178, predictive_accuracy: 0.7185, prior_entropy: 0.9948, recall: 0.7185, relative_absolute_error: 0.8559, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4426, root_relative_squared_error: 0.8884, scimark_benchmark: 1837.1204, usercpu_time_millis: 33.47, usercpu_time_millis_testing: 2.777, usercpu_time_millis_training: 30.693,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8386, f_measure: 0.7667, kappa: 0.5292, kb_relative_information_score: 1094.9852, mean_absolute_error: 0.3706, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7673, predictive_accuracy: 0.7675, prior_entropy: 0.9948, recall: 0.7675, relative_absolute_error: 0.7466, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.411, root_relative_squared_error: 0.8249, scimark_benchmark: 1853.3841, usercpu_time_millis: 29.599, usercpu_time_millis_testing: 0.771, usercpu_time_millis_training: 28.828,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8078, f_measure: 0.752, kappa: 0.4995, kb_relative_information_score: 861.9117, mean_absolute_error: 0.4016, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7525, predictive_accuracy: 0.7529, prior_entropy: 0.9948, recall: 0.7529, relative_absolute_error: 0.809, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4296, root_relative_squared_error: 0.8623, scimark_benchmark: 1732.3383, usercpu_time_millis: 14.556, usercpu_time_millis_testing: 0.716, usercpu_time_millis_training: 13.84,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7903, f_measure: 0.7372, kappa: 0.4719, kb_relative_information_score: 960.5222, mean_absolute_error: 0.3887, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7383, predictive_accuracy: 0.7369, prior_entropy: 0.9948, recall: 0.7369, relative_absolute_error: 0.783, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.437, root_relative_squared_error: 0.8771, scimark_benchmark: 1853.9121, usercpu_time_millis: 70.609, usercpu_time_millis_testing: 0.884, usercpu_time_millis_training: 69.725,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.759, f_measure: 0.7372, kappa: 0.4719, kb_relative_information_score: 963.8064, mean_absolute_error: 0.3882, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7383, predictive_accuracy: 0.7369, prior_entropy: 0.9948, recall: 0.7369, relative_absolute_error: 0.7821, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4387, root_relative_squared_error: 0.8806, scimark_benchmark: 1843.1261, usercpu_time_millis: 50.836, usercpu_time_millis_testing: 0.76, usercpu_time_millis_training: 50.076,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8023, f_measure: 0.7253, kappa: 0.4459, kb_relative_information_score: 672.9771, mean_absolute_error: 0.4236, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7254, predictive_accuracy: 0.7259, prior_entropy: 0.9948, recall: 0.7259, relative_absolute_error: 0.8533, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4416, root_relative_squared_error: 0.8864, scimark_benchmark: 1857.1082, usercpu_time_millis: 46.616, usercpu_time_millis_testing: 1.913, usercpu_time_millis_training: 44.703,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.801, f_measure: 0.7344, kappa: 0.4643, kb_relative_information_score: 656.2853, mean_absolute_error: 0.4262, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7345, predictive_accuracy: 0.735, prior_entropy: 0.9948, recall: 0.735, relative_absolute_error: 0.8585, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4436, root_relative_squared_error: 0.8903, scimark_benchmark: 1850.2875, usercpu_time_millis: 79.922, usercpu_time_millis_testing: 1.484, usercpu_time_millis_training: 78.438,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7578, f_measure: 0.7372, kappa: 0.4719, kb_relative_information_score: 933.6815, mean_absolute_error: 0.3922, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7383, predictive_accuracy: 0.7369, prior_entropy: 0.9948, recall: 0.7369, relative_absolute_error: 0.7901, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4383, root_relative_squared_error: 0.8798, scimark_benchmark: 1824.4185, usercpu_time_millis: 68.962, usercpu_time_millis_testing: 0.749, usercpu_time_millis_training: 68.213,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8607, f_measure: 0.7946, kappa: 0.5859, kb_relative_information_score: 1350.5911, mean_absolute_error: 0.3367, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7947, predictive_accuracy: 0.795, prior_entropy: 0.9948, recall: 0.795, relative_absolute_error: 0.6782, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3927, root_relative_squared_error: 0.7881, scimark_benchmark: 1853.3841, usercpu_time_millis: 65.533, usercpu_time_millis_testing: 1.162, usercpu_time_millis_training: 64.371,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8569, f_measure: 0.7901, kappa: 0.5767, kb_relative_information_score: 1390.7883, mean_absolute_error: 0.3301, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7902, predictive_accuracy: 0.7905, prior_entropy: 0.9948, recall: 0.7905, relative_absolute_error: 0.665, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3932, root_relative_squared_error: 0.7892, scimark_benchmark: 1856.7109, usercpu_time_millis: 67.192, usercpu_time_millis_testing: 0.94, usercpu_time_millis_training: 66.252,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8555, f_measure: 0.785, kappa: 0.5665, kb_relative_information_score: 1094.4981, mean_absolute_error: 0.3712, 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: 0.7477, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.407, root_relative_squared_error: 0.817, scimark_benchmark: 1855.4813, usercpu_time_millis: 61.342, usercpu_time_millis_testing: 2.48, usercpu_time_millis_training: 58.862,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7947, f_measure: 0.7363, kappa: 0.4696, kb_relative_information_score: 665.6727, mean_absolute_error: 0.4255, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7369, predictive_accuracy: 0.7361, prior_entropy: 0.9948, recall: 0.7361, relative_absolute_error: 0.857, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4446, root_relative_squared_error: 0.8924, scimark_benchmark: 1843.3238, usercpu_time_millis: 73.396, usercpu_time_millis_testing: 1.027, usercpu_time_millis_training: 72.369,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8452, f_measure: 0.7806, kappa: 0.5574, kb_relative_information_score: 1395.7456, mean_absolute_error: 0.3285, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7809, predictive_accuracy: 0.7811, prior_entropy: 0.9948, recall: 0.7811, relative_absolute_error: 0.6617, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3985, root_relative_squared_error: 0.7998, scimark_benchmark: 1842.2127, usercpu_time_millis: 90.725, usercpu_time_millis_testing: 0.784, usercpu_time_millis_training: 89.941,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.801, f_measure: 0.7385, kappa: 0.4732, kb_relative_information_score: 771.9528, mean_absolute_error: 0.4127, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7385, predictive_accuracy: 0.7385, prior_entropy: 0.9948, recall: 0.7385, relative_absolute_error: 0.8313, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4365, root_relative_squared_error: 0.876, scimark_benchmark: 1857.0384, usercpu_time_millis: 124.472, usercpu_time_millis_testing: 1.5, usercpu_time_millis_training: 122.972,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8036, f_measure: 0.7375, kappa: 0.4726, kb_relative_information_score: 1025.154, mean_absolute_error: 0.3797, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7387, predictive_accuracy: 0.7371, prior_entropy: 0.9948, recall: 0.7371, relative_absolute_error: 0.7649, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4307, root_relative_squared_error: 0.8645, scimark_benchmark: 1826.2858, usercpu_time_millis: 93.235, usercpu_time_millis_testing: 0.803, usercpu_time_millis_training: 92.432,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.862, f_measure: 0.7946, kappa: 0.5857, kb_relative_information_score: 1314.4373, mean_absolute_error: 0.3416, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7948, predictive_accuracy: 0.795, prior_entropy: 0.9948, recall: 0.795, relative_absolute_error: 0.6881, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3939, root_relative_squared_error: 0.7907, scimark_benchmark: 1816.4023, usercpu_time_millis: 120.853, usercpu_time_millis_testing: 1.325, usercpu_time_millis_training: 119.528,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8042, f_measure: 0.7372, kappa: 0.4719, kb_relative_information_score: 946.4012, mean_absolute_error: 0.3905, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7383, predictive_accuracy: 0.7369, prior_entropy: 0.9948, recall: 0.7369, relative_absolute_error: 0.7867, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4316, root_relative_squared_error: 0.8663, scimark_benchmark: 1846.3057, usercpu_time_millis: 112.36, usercpu_time_millis_testing: 1.109, usercpu_time_millis_training: 111.251,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8316, f_measure: 0.7638, kappa: 0.5234, kb_relative_information_score: 1265.4885, mean_absolute_error: 0.3468, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7661, predictive_accuracy: 0.7654, prior_entropy: 0.9948, recall: 0.7654, relative_absolute_error: 0.6985, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4079, root_relative_squared_error: 0.8187, scimark_benchmark: 1858.0974, usercpu_time_millis: 139.591, usercpu_time_millis_testing: 0.816, usercpu_time_millis_training: 138.775,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8028, f_measure: 0.737, kappa: 0.4705, kb_relative_information_score: 851.3014, mean_absolute_error: 0.4028, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7372, predictive_accuracy: 0.7369, prior_entropy: 0.9948, recall: 0.7369, relative_absolute_error: 0.8114, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.432, root_relative_squared_error: 0.8671, scimark_benchmark: 1850.9136, usercpu_time_millis: 150.603, usercpu_time_millis_testing: 1.354, usercpu_time_millis_training: 149.249,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7935, f_measure: 0.7372, kappa: 0.4719, kb_relative_information_score: 840.2537, mean_absolute_error: 0.4043, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7383, predictive_accuracy: 0.7369, prior_entropy: 0.9948, recall: 0.7369, relative_absolute_error: 0.8145, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4372, root_relative_squared_error: 0.8775, scimark_benchmark: 1849.8294, usercpu_time_millis: 123.384, usercpu_time_millis_testing: 1.131, usercpu_time_millis_training: 122.253,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7864, f_measure: 0.7372, kappa: 0.4719, kb_relative_information_score: 961.6126, mean_absolute_error: 0.3886, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7383, predictive_accuracy: 0.7369, prior_entropy: 0.9948, recall: 0.7369, relative_absolute_error: 0.7827, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4375, root_relative_squared_error: 0.8781, scimark_benchmark: 1851.3986, usercpu_time_millis: 28.403, usercpu_time_millis_testing: 0.732, usercpu_time_millis_training: 27.671,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8122, f_measure: 0.7517, kappa: 0.4988, kb_relative_information_score: 1031.267, mean_absolute_error: 0.379, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7533, predictive_accuracy: 0.7531, prior_entropy: 0.9948, recall: 0.7531, relative_absolute_error: 0.7635, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.421, root_relative_squared_error: 0.845, scimark_benchmark: 1787.4761, usercpu_time_millis: 6.082, usercpu_time_millis_testing: 0.659, usercpu_time_millis_training: 5.423,

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