Task
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: 0.8464, f_measure: 0.7781, kappa: 0.5526, kb_relative_information_score: 1071.717, mean_absolute_error: 0.3737, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7781, predictive_accuracy: 0.7785, prior_entropy: 0.9948, recall: 0.7785, relative_absolute_error: 0.7528, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4105, root_relative_squared_error: 0.824, scimark_benchmark: 1837.4118, usercpu_time_millis: 114.335, usercpu_time_millis_testing: 1.947, usercpu_time_millis_training: 112.388,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8486, f_measure: 0.7791, kappa: 0.5544, kb_relative_information_score: 1420.6334, mean_absolute_error: 0.3247, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7792, predictive_accuracy: 0.7795, prior_entropy: 0.9948, recall: 0.7795, relative_absolute_error: 0.654, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3966, root_relative_squared_error: 0.7961, scimark_benchmark: 1837.1204, usercpu_time_millis: 68.564, usercpu_time_millis_testing: 0.767, usercpu_time_millis_training: 67.797,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8344, f_measure: 0.7638, kappa: 0.5237, kb_relative_information_score: 964.9172, mean_absolute_error: 0.3873, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7637, predictive_accuracy: 0.7641, prior_entropy: 0.9948, recall: 0.7641, relative_absolute_error: 0.7801, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4191, root_relative_squared_error: 0.8411, scimark_benchmark: 1851.8567, usercpu_time_millis: 151.335, usercpu_time_millis_testing: 2.358, usercpu_time_millis_training: 148.977,
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable).
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7741, f_measure: 0.6828, kappa: 0.3617, kb_relative_information_score: 402.2407, mean_absolute_error: 0.455, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.6897, predictive_accuracy: 0.6881, prior_entropy: 0.9948, recall: 0.6881, relative_absolute_error: 0.9165, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4631, root_relative_squared_error: 0.9295, scimark_benchmark: 1850.2875, usercpu_time_millis: 7.315, usercpu_time_millis_testing: 0.807, usercpu_time_millis_training: 6.508,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.499, f_measure: 0.3813, kb_relative_information_score: 0.1291, 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: 1844.4297, usercpu_time_millis: 9.247, usercpu_time_millis_testing: 1.396, usercpu_time_millis_training: 7.851,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4994, f_measure: 0.3813, kb_relative_information_score: 0.1365, 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: 1830.7352, usercpu_time_millis: 5.613, usercpu_time_millis_testing: 0.887, usercpu_time_millis_training: 4.726,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4995, f_measure: 0.3813, kb_relative_information_score: -0.1703, 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: 1846.3046, usercpu_time_millis: 6.458, usercpu_time_millis_testing: 0.913, usercpu_time_millis_training: 5.545,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8246, f_measure: 0.7586, kappa: 0.5132, kb_relative_information_score: 1200.1239, mean_absolute_error: 0.3559, 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: 0.7169, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4124, root_relative_squared_error: 0.8278, scimark_benchmark: 1850.2875, usercpu_time_millis: 87.243, usercpu_time_millis_testing: 0.883, usercpu_time_millis_training: 86.36,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.846, f_measure: 0.7782, kappa: 0.5528, kb_relative_information_score: 1415.0689, mean_absolute_error: 0.3248, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7782, predictive_accuracy: 0.7785, prior_entropy: 0.9948, recall: 0.7785, relative_absolute_error: 0.6542, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3986, root_relative_squared_error: 0.8001, scimark_benchmark: 1855.0232, usercpu_time_millis: 58.732, usercpu_time_millis_testing: 0.789, usercpu_time_millis_training: 57.943,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8493, f_measure: 0.7802, kappa: 0.5567, kb_relative_information_score: 1255.0904, mean_absolute_error: 0.3491, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7803, predictive_accuracy: 0.7806, prior_entropy: 0.9948, recall: 0.7806, relative_absolute_error: 0.7033, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4007, root_relative_squared_error: 0.8043, scimark_benchmark: 1817.5475, usercpu_time_millis: 45.16, usercpu_time_millis_testing: 1.075, usercpu_time_millis_training: 44.085,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8705, f_measure: 0.7969, kappa: 0.5906, kb_relative_information_score: 1315.4168, mean_absolute_error: 0.342, 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: 0.6888, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3909, root_relative_squared_error: 0.7846, scimark_benchmark: 788.5077, usercpu_time_millis: 28.47, usercpu_time_millis_testing: 1.945, usercpu_time_millis_training: 26.525,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7877, f_measure: 0.7372, kappa: 0.4719, kb_relative_information_score: 937.8334, mean_absolute_error: 0.3917, 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: 0.7891, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4363, root_relative_squared_error: 0.8757, scimark_benchmark: 1855.4813, usercpu_time_millis: 25.515, usercpu_time_millis_testing: 0.709, usercpu_time_millis_training: 24.806,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.499, f_measure: 0.3813, kb_relative_information_score: 0.0879, mean_absolute_error: 0.4964, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.294, predictive_accuracy: 0.5423, prior_entropy: 0.9948, recall: 0.5423, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4982, root_relative_squared_error: 1, scimark_benchmark: 789.2446, usercpu_time_millis: 18.114, usercpu_time_millis_testing: 2.354, usercpu_time_millis_training: 15.76,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4997, f_measure: 0.3813, kb_relative_information_score: -0.049, 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: 5.307, usercpu_time_millis_testing: 0.835, usercpu_time_millis_training: 4.472,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.3813, kb_relative_information_score: -0.2505, 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: 1815.5483, usercpu_time_millis: 5.187, usercpu_time_millis_testing: 0.76, usercpu_time_millis_training: 4.427,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4991, f_measure: 0.3813, kb_relative_information_score: 0.0293, 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: 1815.5992, usercpu_time_millis: 5.253, usercpu_time_millis_testing: 0.884, usercpu_time_millis_training: 4.369,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8203, f_measure: 0.7539, kappa: 0.5034, kb_relative_information_score: 1054.6009, mean_absolute_error: 0.3766, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.756, predictive_accuracy: 0.7555, prior_entropy: 0.9948, recall: 0.7555, relative_absolute_error: 0.7586, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4182, root_relative_squared_error: 0.8394, scimark_benchmark: 1852.9988, usercpu_time_millis: 262.111, usercpu_time_millis_testing: 1.443, usercpu_time_millis_training: 260.668,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.814, f_measure: 0.7475, kappa: 0.4905, kb_relative_information_score: 826.0179, mean_absolute_error: 0.4056, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7494, predictive_accuracy: 0.7491, prior_entropy: 0.9948, recall: 0.7491, relative_absolute_error: 0.8169, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4306, root_relative_squared_error: 0.8643, scimark_benchmark: 1837.1204, usercpu_time_millis: 127.146, usercpu_time_millis_testing: 1.891, usercpu_time_millis_training: 125.255,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8607, f_measure: 0.7953, kappa: 0.5872, kb_relative_information_score: 1484.0322, mean_absolute_error: 0.3175, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7956, predictive_accuracy: 0.7958, prior_entropy: 0.9948, recall: 0.7958, relative_absolute_error: 0.6396, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3887, root_relative_squared_error: 0.7802, scimark_benchmark: 789.421, usercpu_time_millis: 94.302, usercpu_time_millis_testing: 1.493, usercpu_time_millis_training: 92.809,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8026, f_measure: 0.7296, kappa: 0.4545, kb_relative_information_score: 684.8132, mean_absolute_error: 0.4226, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7299, predictive_accuracy: 0.7305, prior_entropy: 0.9948, recall: 0.7305, relative_absolute_error: 0.8512, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4411, root_relative_squared_error: 0.8853, scimark_benchmark: 1744.7906, usercpu_time_millis: 73.648, usercpu_time_millis_testing: 2.244, usercpu_time_millis_training: 71.404,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7937, f_measure: 0.7198, kappa: 0.4346, kb_relative_information_score: 585.0094, mean_absolute_error: 0.4343, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.72, predictive_accuracy: 0.7206, prior_entropy: 0.9948, recall: 0.7206, relative_absolute_error: 0.8749, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4486, root_relative_squared_error: 0.9005, scimark_benchmark: 1833.431, usercpu_time_millis: 71.713, usercpu_time_millis_testing: 2.143, usercpu_time_millis_training: 69.57,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7734, f_measure: 0.7372, kappa: 0.4719, kb_relative_information_score: 852.8133, mean_absolute_error: 0.4027, 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: 0.8111, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4384, root_relative_squared_error: 0.88, scimark_benchmark: 1832.1397, usercpu_time_millis: 64.596, usercpu_time_millis_testing: 0.831, usercpu_time_millis_training: 63.765,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8251, f_measure: 0.7526, kappa: 0.5012, kb_relative_information_score: 874.6314, mean_absolute_error: 0.3986, 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: 0.803, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.426, root_relative_squared_error: 0.855, scimark_benchmark: 1849.8294, usercpu_time_millis: 52.968, usercpu_time_millis_testing: 1.781, usercpu_time_millis_training: 51.187,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8282, f_measure: 0.7584, kappa: 0.5127, kb_relative_information_score: 969.4818, mean_absolute_error: 0.3869, 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: 0.7793, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4199, root_relative_squared_error: 0.8429, scimark_benchmark: 787.8104, usercpu_time_millis: 25.034, usercpu_time_millis_testing: 1.446, usercpu_time_millis_training: 23.588,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4996, f_measure: 0.3813, kb_relative_information_score: -0.106, 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: 788.818, usercpu_time_millis: 16.309, usercpu_time_millis_testing: 1.978, usercpu_time_millis_training: 14.331,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4996, f_measure: 0.3813, kb_relative_information_score: -0.0626, 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: 1833.9619, usercpu_time_millis: 8.568, usercpu_time_millis_testing: 1.185, usercpu_time_millis_training: 7.383,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4991, f_measure: 0.3813, kb_relative_information_score: 0.0038, 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: 1847.8629, usercpu_time_millis: 7.079, usercpu_time_millis_testing: 1.094, usercpu_time_millis_training: 5.985,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5004, f_measure: 0.3813, kb_relative_information_score: -0.3209, 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: 1809.8548, usercpu_time_millis: 5.117, usercpu_time_millis_testing: 0.786, usercpu_time_millis_training: 4.331,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8254, f_measure: 0.751, kappa: 0.4978, kb_relative_information_score: 1260.6861, mean_absolute_error: 0.3471, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7549, predictive_accuracy: 0.7534, prior_entropy: 0.9948, recall: 0.7534, relative_absolute_error: 0.6992, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4119, root_relative_squared_error: 0.8267, scimark_benchmark: 1829.1442, usercpu_time_millis: 307.618, usercpu_time_millis_testing: 0.834, usercpu_time_millis_training: 306.784,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7767, f_measure: 0.7372, kappa: 0.4719, kb_relative_information_score: 907.5806, mean_absolute_error: 0.3957, 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: 0.797, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.438, root_relative_squared_error: 0.8791, scimark_benchmark: 1851.8567, usercpu_time_millis: 49.89, usercpu_time_millis_testing: 0.741, usercpu_time_millis_training: 49.149,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7833, f_measure: 0.7112, kappa: 0.4208, kb_relative_information_score: 329.3564, mean_absolute_error: 0.4632, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7254, predictive_accuracy: 0.7182, prior_entropy: 0.9948, recall: 0.7182, relative_absolute_error: 0.933, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4689, root_relative_squared_error: 0.9412, scimark_benchmark: 1858.6076, usercpu_time_millis: 41.67, usercpu_time_millis_testing: 1.762, usercpu_time_millis_training: 39.908,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4997, f_measure: 0.3813, kb_relative_information_score: -0.1477, 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: 786.4395, usercpu_time_millis: 13.402, usercpu_time_millis_testing: 1.885, usercpu_time_millis_training: 11.517,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7864, f_measure: 0.7358, kappa: 0.4687, kb_relative_information_score: 871.6996, mean_absolute_error: 0.4002, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7365, predictive_accuracy: 0.7355, prior_entropy: 0.9948, recall: 0.7355, relative_absolute_error: 0.8061, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4347, root_relative_squared_error: 0.8725, scimark_benchmark: 786.7574, usercpu_time_millis: 12.949, usercpu_time_millis_testing: 1.276, usercpu_time_millis_training: 11.673,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4994, f_measure: 0.3813, kb_relative_information_score: 0.13, 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: 1844.7258, usercpu_time_millis: 10.36, usercpu_time_millis_testing: 1.476, usercpu_time_millis_training: 8.884,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4996, f_measure: 0.3813, kb_relative_information_score: 0.1363, 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: 1821.3443, usercpu_time_millis: 9.22, usercpu_time_millis_testing: 1.313, usercpu_time_millis_training: 7.907,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4995, f_measure: 0.3813, kb_relative_information_score: -0.0381, 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: 1830.6983, usercpu_time_millis: 7.752, usercpu_time_millis_testing: 1.122, usercpu_time_millis_training: 6.63,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4993, f_measure: 0.3813, kb_relative_information_score: 0.1111, 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: 1821.7348, usercpu_time_millis: 7.114, usercpu_time_millis_testing: 1.195, usercpu_time_millis_training: 5.919,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8141, f_measure: 0.7548, kappa: 0.5053, kb_relative_information_score: 933.0431, mean_absolute_error: 0.3926, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7573, predictive_accuracy: 0.7566, prior_entropy: 0.9948, recall: 0.7566, relative_absolute_error: 0.7908, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4247, root_relative_squared_error: 0.8524, scimark_benchmark: 1852.5406, usercpu_time_millis: 258.348, usercpu_time_millis_testing: 1.895, usercpu_time_millis_training: 256.453,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8656, f_measure: 0.7991, kappa: 0.5949, kb_relative_information_score: 1534.6357, mean_absolute_error: 0.3101, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7993, predictive_accuracy: 0.7995, prior_entropy: 0.9948, recall: 0.7995, relative_absolute_error: 0.6247, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.385, root_relative_squared_error: 0.7727, scimark_benchmark: 1904.2407, usercpu_time_millis: 101.383, usercpu_time_millis_testing: 0.832, usercpu_time_millis_training: 100.551,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.844, f_measure: 0.7679, kappa: 0.5318, kb_relative_information_score: 1021.838, mean_absolute_error: 0.3801, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.768, predictive_accuracy: 0.7683, prior_entropy: 0.9948, recall: 0.7683, relative_absolute_error: 0.7656, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4137, root_relative_squared_error: 0.8305, scimark_benchmark: 1850.9835, usercpu_time_millis: 50.752, usercpu_time_millis_testing: 2.88, usercpu_time_millis_training: 47.872,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4996, f_measure: 0.3813, kb_relative_information_score: -0.1119, 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: 788.4134, usercpu_time_millis: 11.182, usercpu_time_millis_testing: 1.613, usercpu_time_millis_training: 9.569,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4996, f_measure: 0.3813, kb_relative_information_score: -0.2762, 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: 1799.4025, usercpu_time_millis: 6.859, usercpu_time_millis_testing: 1.062, usercpu_time_millis_training: 5.797,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7504, f_measure: 0.7372, kappa: 0.4719, kb_relative_information_score: 979.5803, mean_absolute_error: 0.3861, 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: 0.7778, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.439, root_relative_squared_error: 0.8811, scimark_benchmark: 1848.2615, usercpu_time_millis: 253.021, usercpu_time_millis_testing: 1.316, usercpu_time_millis_training: 251.705,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8242, f_measure: 0.7574, kappa: 0.5104, kb_relative_information_score: 978.909, mean_absolute_error: 0.3861, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7589, predictive_accuracy: 0.7587, prior_entropy: 0.9948, recall: 0.7587, relative_absolute_error: 0.7778, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4201, root_relative_squared_error: 0.8433, scimark_benchmark: 1846.2342, usercpu_time_millis: 197.565, usercpu_time_millis_testing: 2.038, usercpu_time_millis_training: 195.527,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7965, f_measure: 0.7372, kappa: 0.4719, kb_relative_information_score: 873.667, mean_absolute_error: 0.4001, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7383, predictive_accuracy: 0.7369, prior_entropy: 0.9948, recall: 0.7369, relative_absolute_error: 0.806, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4353, root_relative_squared_error: 0.8737, scimark_benchmark: 1853.3841, usercpu_time_millis: 125.753, usercpu_time_millis_testing: 1.226, usercpu_time_millis_training: 124.527,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8677, f_measure: 0.7939, kappa: 0.5843, kb_relative_information_score: 1579.3983, mean_absolute_error: 0.3031, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7939, predictive_accuracy: 0.7942, prior_entropy: 0.9948, recall: 0.7942, relative_absolute_error: 0.6106, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3832, root_relative_squared_error: 0.7692, scimark_benchmark: 1849.3014, usercpu_time_millis: 117.063, usercpu_time_millis_testing: 0.806, usercpu_time_millis_training: 116.257,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8123, f_measure: 0.7544, kappa: 0.5043, kb_relative_information_score: 854.4304, mean_absolute_error: 0.4023, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7566, predictive_accuracy: 0.7561, prior_entropy: 0.9948, recall: 0.7561, relative_absolute_error: 0.8105, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4293, root_relative_squared_error: 0.8617, scimark_benchmark: 1854.568, usercpu_time_millis: 89.248, usercpu_time_millis_testing: 1.409, usercpu_time_millis_training: 87.839,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8186, f_measure: 0.7517, kappa: 0.499, kb_relative_information_score: 903.1786, mean_absolute_error: 0.396, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7539, predictive_accuracy: 0.7534, prior_entropy: 0.9948, recall: 0.7534, relative_absolute_error: 0.7976, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4253, root_relative_squared_error: 0.8536, scimark_benchmark: 1845.9141, usercpu_time_millis: 86.459, usercpu_time_millis_testing: 1.334, usercpu_time_millis_training: 85.125,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7648, f_measure: 0.6752, kappa: 0.3464, kb_relative_information_score: 358.2493, mean_absolute_error: 0.4598, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.6819, predictive_accuracy: 0.6806, prior_entropy: 0.9948, recall: 0.6806, relative_absolute_error: 0.9262, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4669, root_relative_squared_error: 0.9372, scimark_benchmark: 1848.2615, usercpu_time_millis: 6.307, usercpu_time_millis_testing: 0.724, usercpu_time_millis_training: 5.583,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8536, f_measure: 0.7857, kappa: 0.5677, kb_relative_information_score: 1292.5982, mean_absolute_error: 0.344, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7859, predictive_accuracy: 0.7862, prior_entropy: 0.9948, recall: 0.7862, relative_absolute_error: 0.6929, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3978, root_relative_squared_error: 0.7985, scimark_benchmark: 789.6492, usercpu_time_millis: 117.528, usercpu_time_millis_testing: 2.056, usercpu_time_millis_training: 115.472,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8228, f_measure: 0.7568, kappa: 0.5094, kb_relative_information_score: 1216.9097, mean_absolute_error: 0.3536, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7573, predictive_accuracy: 0.7577, prior_entropy: 0.9948, recall: 0.7577, relative_absolute_error: 0.7123, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4139, root_relative_squared_error: 0.8308, scimark_benchmark: 1852.5406, usercpu_time_millis: 109.636, usercpu_time_millis_testing: 0.823, usercpu_time_millis_training: 108.813,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.795, f_measure: 0.7391, kappa: 0.4741, kb_relative_information_score: 405.4893, mean_absolute_error: 0.4549, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7443, predictive_accuracy: 0.7422, prior_entropy: 0.9948, recall: 0.7422, relative_absolute_error: 0.9163, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4626, root_relative_squared_error: 0.9286, scimark_benchmark: 1821.0183, usercpu_time_millis: 54.571, usercpu_time_millis_testing: 1.563, usercpu_time_millis_training: 53.008,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7936, f_measure: 0.7372, kappa: 0.4719, kb_relative_information_score: 777.5968, mean_absolute_error: 0.4122, 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: 0.8303, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4388, root_relative_squared_error: 0.8808, scimark_benchmark: 1817.0822, usercpu_time_millis: 35.963, usercpu_time_millis_testing: 0.849, usercpu_time_millis_training: 35.114,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.3813, kb_relative_information_score: -0.1577, 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: 1849.7595, usercpu_time_millis: 9.277, usercpu_time_millis_testing: 1.489, usercpu_time_millis_training: 7.788,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4994, f_measure: 0.3813, kb_relative_information_score: -0.021, 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: 8.56, usercpu_time_millis_testing: 1.418, usercpu_time_millis_training: 7.142,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4994, f_measure: 0.3813, kb_relative_information_score: -0.1515, 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: 1857.7641, usercpu_time_millis: 8.166, usercpu_time_millis_testing: 1.264, usercpu_time_millis_training: 6.902,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.789, f_measure: 0.7372, kappa: 0.4719, kb_relative_information_score: 753.7579, mean_absolute_error: 0.415, 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: 0.8359, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4405, root_relative_squared_error: 0.8841, scimark_benchmark: 1847.7988, usercpu_time_millis: 154.497, usercpu_time_millis_testing: 1.451, usercpu_time_millis_training: 153.046,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8306, f_measure: 0.7682, kappa: 0.5323, kb_relative_information_score: 1123.3227, mean_absolute_error: 0.3663, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7686, predictive_accuracy: 0.7689, prior_entropy: 0.9948, recall: 0.7689, relative_absolute_error: 0.7378, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4122, root_relative_squared_error: 0.8273, scimark_benchmark: 1844.8764, usercpu_time_millis: 104.614, usercpu_time_millis_testing: 1.257, usercpu_time_millis_training: 103.357,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7836, f_measure: 0.7375, kappa: 0.4723, kb_relative_information_score: 726.8187, mean_absolute_error: 0.4181, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7384, predictive_accuracy: 0.7371, prior_entropy: 0.9948, recall: 0.7371, relative_absolute_error: 0.8422, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4421, root_relative_squared_error: 0.8873, scimark_benchmark: 784.6823, usercpu_time_millis: 74.635, usercpu_time_millis_testing: 1.431, usercpu_time_millis_training: 73.204,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8551, f_measure: 0.7879, kappa: 0.5722, kb_relative_information_score: 1398.6981, mean_absolute_error: 0.3288, 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: 0.6624, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3938, root_relative_squared_error: 0.7905, scimark_benchmark: 1855.4813, usercpu_time_millis: 73.315, usercpu_time_millis_testing: 0.854, usercpu_time_millis_training: 72.461,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8509, f_measure: 0.7856, kappa: 0.5674, kb_relative_information_score: 1483.1719, mean_absolute_error: 0.3161, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.786, predictive_accuracy: 0.7862, prior_entropy: 0.9948, recall: 0.7862, relative_absolute_error: 0.6367, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3941, root_relative_squared_error: 0.791, scimark_benchmark: 1853.9121, usercpu_time_millis: 66.344, usercpu_time_millis_testing: 0.8, usercpu_time_millis_training: 65.544,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8261, f_measure: 0.7322, kappa: 0.4597, kb_relative_information_score: 687.2509, mean_absolute_error: 0.4225, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.733, predictive_accuracy: 0.7334, prior_entropy: 0.9948, recall: 0.7334, relative_absolute_error: 0.851, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4379, root_relative_squared_error: 0.879, scimark_benchmark: 1851.4233, usercpu_time_millis: 34.104, usercpu_time_millis_testing: 3.67, usercpu_time_millis_training: 30.434,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4998, f_measure: 0.3813, kb_relative_information_score: 0.0107, 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: 1846.9558, usercpu_time_millis: 7.821, usercpu_time_millis_testing: 1.147, usercpu_time_millis_training: 6.674,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5003, f_measure: 0.3813, kb_relative_information_score: 0.0425, 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: 4.207, usercpu_time_millis_testing: 0.684, usercpu_time_millis_training: 3.523,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8397, f_measure: 0.7655, kappa: 0.5272, kb_relative_information_score: 961.5912, mean_absolute_error: 0.3878, 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: 0.7812, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4181, root_relative_squared_error: 0.8393, scimark_benchmark: 1854.6378, usercpu_time_millis: 28.135, usercpu_time_millis_testing: 1.407, usercpu_time_millis_training: 26.728,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4997, f_measure: 0.3813, kb_relative_information_score: -0.0526, 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: 7.338, usercpu_time_millis_testing: 1.076, usercpu_time_millis_training: 6.262,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4993, f_measure: 0.3813, kb_relative_information_score: -0.1152, 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: 2012.6731, usercpu_time_millis: 5.798, usercpu_time_millis_testing: 0.903, usercpu_time_millis_training: 4.895,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4989, f_measure: 0.3813, kb_relative_information_score: -0.0099, 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: 1855.0232, usercpu_time_millis: 7.8, usercpu_time_millis_testing: 1.449, usercpu_time_millis_training: 6.351,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4996, f_measure: 0.3813, kb_relative_information_score: -0.2104, 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: 1849.7595, usercpu_time_millis: 8.822, usercpu_time_millis_testing: 1.415, usercpu_time_millis_training: 7.407,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5004, f_measure: 0.3813, kb_relative_information_score: -0.0716, 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: 1859.1356, usercpu_time_millis: 5.137, usercpu_time_millis_testing: 0.795, usercpu_time_millis_training: 4.342,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5002, f_measure: 0.3813, kb_relative_information_score: -0.4186, 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: 1853.9849, usercpu_time_millis: 4.433, usercpu_time_millis_testing: 0.71, usercpu_time_millis_training: 3.723,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3813, kb_relative_information_score: -0.1355, 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: 1849.8294, usercpu_time_millis: 5.868, usercpu_time_millis_testing: 0.819, usercpu_time_millis_training: 5.049,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7674, f_measure: 0.7372, kappa: 0.4719, kb_relative_information_score: 954.9708, mean_absolute_error: 0.3894, 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: 0.7844, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4385, root_relative_squared_error: 0.8802, scimark_benchmark: 1853.5818, usercpu_time_millis: 300.186, usercpu_time_millis_testing: 1.498, usercpu_time_millis_training: 298.688,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7938, f_measure: 0.7372, kappa: 0.4719, kb_relative_information_score: 828.1033, mean_absolute_error: 0.4059, 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: 0.8176, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4377, root_relative_squared_error: 0.8785, scimark_benchmark: 1720.4927, usercpu_time_millis: 217.245, usercpu_time_millis_testing: 1.692, usercpu_time_millis_training: 215.553,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5002, 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: 1722.826, usercpu_time_millis: 9.631, usercpu_time_millis_testing: 1.602, usercpu_time_millis_training: 8.029,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4996, f_measure: 0.3813, kb_relative_information_score: 0.1204, 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: 1738.3274, usercpu_time_millis: 7.768, usercpu_time_millis_testing: 1.241, usercpu_time_millis_training: 6.527,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4993, f_measure: 0.3813, kb_relative_information_score: -0.1199, 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: 1851.8567, usercpu_time_millis: 8.087, usercpu_time_millis_testing: 1.317, usercpu_time_millis_training: 6.77,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.499, f_measure: 0.3813, kb_relative_information_score: -0.1016, 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: 1855.0232, usercpu_time_millis: 6.11, usercpu_time_millis_testing: 0.922, usercpu_time_millis_training: 5.188,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4994, f_measure: 0.3813, kb_relative_information_score: -0.0677, 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: 6.752, usercpu_time_millis_testing: 1.055, usercpu_time_millis_training: 5.697,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4992, f_measure: 0.3813, kb_relative_information_score: -1.0181, 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: 1858.1494, usercpu_time_millis: 4.244, usercpu_time_millis_testing: 0.673, usercpu_time_millis_training: 3.571,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8403, f_measure: 0.7714, kappa: 0.5388, kb_relative_information_score: 1167.459, mean_absolute_error: 0.3609, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7722, predictive_accuracy: 0.7723, prior_entropy: 0.9948, recall: 0.7723, relative_absolute_error: 0.727, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4071, root_relative_squared_error: 0.817, scimark_benchmark: 1842.7105, usercpu_time_millis: 248.038, usercpu_time_millis_testing: 1.503, usercpu_time_millis_training: 246.535,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8212, f_measure: 0.7561, kappa: 0.5078, kb_relative_information_score: 962.1642, mean_absolute_error: 0.3885, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7581, predictive_accuracy: 0.7577, prior_entropy: 0.9948, recall: 0.7577, relative_absolute_error: 0.7826, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4216, root_relative_squared_error: 0.8463, scimark_benchmark: 1859.1356, usercpu_time_millis: 234.557, usercpu_time_millis_testing: 1.767, usercpu_time_millis_training: 232.79,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7969, f_measure: 0.7364, kappa: 0.469, kb_relative_information_score: 598.0392, mean_absolute_error: 0.4333, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7364, predictive_accuracy: 0.7363, prior_entropy: 0.9948, recall: 0.7363, relative_absolute_error: 0.8729, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4481, root_relative_squared_error: 0.8995, scimark_benchmark: 1844.3569, usercpu_time_millis: 140.085, usercpu_time_millis_testing: 1.524, usercpu_time_millis_training: 138.561,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7948, f_measure: 0.7372, kappa: 0.4719, kb_relative_information_score: 802.6555, mean_absolute_error: 0.4091, 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: 0.8242, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4384, root_relative_squared_error: 0.8799, scimark_benchmark: 1855.0232, usercpu_time_millis: 102.778, usercpu_time_millis_testing: 1.344, usercpu_time_millis_training: 101.434,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7952, f_measure: 0.7216, kappa: 0.4388, kb_relative_information_score: 567.6389, mean_absolute_error: 0.4364, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7215, predictive_accuracy: 0.7219, prior_entropy: 0.9948, recall: 0.7219, relative_absolute_error: 0.8791, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4502, root_relative_squared_error: 0.9036, scimark_benchmark: 1857.1082, usercpu_time_millis: 103.415, usercpu_time_millis_testing: 2.143, usercpu_time_millis_training: 101.272,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7945, f_measure: 0.7212, kappa: 0.4378, kb_relative_information_score: 589.5539, mean_absolute_error: 0.4339, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7211, predictive_accuracy: 0.7217, prior_entropy: 0.9948, recall: 0.7217, relative_absolute_error: 0.8739, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4485, root_relative_squared_error: 0.9002, scimark_benchmark: 1841.8649, usercpu_time_millis: 84.419, usercpu_time_millis_testing: 1.98, usercpu_time_millis_training: 82.439,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8263, f_measure: 0.7566, kappa: 0.5087, kb_relative_information_score: 1019.3784, mean_absolute_error: 0.3809, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7581, predictive_accuracy: 0.7579, prior_entropy: 0.9948, recall: 0.7579, relative_absolute_error: 0.7674, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4177, root_relative_squared_error: 0.8383, scimark_benchmark: 1833.7909, usercpu_time_millis: 80.358, usercpu_time_millis_testing: 0.881, usercpu_time_millis_training: 79.477,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7544, f_measure: 0.7372, kappa: 0.4719, kb_relative_information_score: 967.9005, mean_absolute_error: 0.3877, 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: 0.7809, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4389, root_relative_squared_error: 0.8809, scimark_benchmark: 1822.3834, usercpu_time_millis: 59.345, usercpu_time_millis_testing: 0.78, usercpu_time_millis_training: 58.565,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4997, f_measure: 0.3813, kb_relative_information_score: 0.0671, 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: 1843.8137, usercpu_time_millis: 6.105, usercpu_time_millis_testing: 0.925, usercpu_time_millis_training: 5.18,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8219, f_measure: 0.7543, kappa: 0.5043, kb_relative_information_score: 934.25, mean_absolute_error: 0.3919, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.756, predictive_accuracy: 0.7558, prior_entropy: 0.9948, recall: 0.7558, relative_absolute_error: 0.7895, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.423, root_relative_squared_error: 0.849, scimark_benchmark: 1850.9652, usercpu_time_millis: 237.703, usercpu_time_millis_testing: 2.348, usercpu_time_millis_training: 235.355,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7979, f_measure: 0.7466, kappa: 0.4887, kb_relative_information_score: 608.0919, mean_absolute_error: 0.432, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7476, predictive_accuracy: 0.7478, prior_entropy: 0.9948, recall: 0.7478, relative_absolute_error: 0.8702, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4472, root_relative_squared_error: 0.8976, scimark_benchmark: 1834.7077, usercpu_time_millis: 78.954, usercpu_time_millis_testing: 1.17, usercpu_time_millis_training: 77.784,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5003, f_measure: 0.3813, kb_relative_information_score: -0.8846, 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: 1836.7572, usercpu_time_millis: 4.039, usercpu_time_millis_testing: 0.652, usercpu_time_millis_training: 3.387,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8076, f_measure: 0.7479, kappa: 0.4914, kb_relative_information_score: 747.4432, mean_absolute_error: 0.4154, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7482, predictive_accuracy: 0.7486, prior_entropy: 0.9948, recall: 0.7486, relative_absolute_error: 0.8367, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4366, root_relative_squared_error: 0.8764, scimark_benchmark: 1845.7835, usercpu_time_millis: 61.667, usercpu_time_millis_testing: 1.338, usercpu_time_millis_training: 60.329,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7962, f_measure: 0.7249, kappa: 0.4453, kb_relative_information_score: 581.1969, mean_absolute_error: 0.4349, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7248, predictive_accuracy: 0.7251, prior_entropy: 0.9948, recall: 0.7251, relative_absolute_error: 0.876, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4492, root_relative_squared_error: 0.9016, scimark_benchmark: 1847.3406, usercpu_time_millis: 49.91, usercpu_time_millis_testing: 1.303, usercpu_time_millis_training: 48.607,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7944, f_measure: 0.7386, kappa: 0.4727, kb_relative_information_score: 527.6549, mean_absolute_error: 0.4413, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7385, predictive_accuracy: 0.739, prior_entropy: 0.9948, recall: 0.739, relative_absolute_error: 0.8889, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4534, root_relative_squared_error: 0.9101, scimark_benchmark: 1842.598, usercpu_time_millis: 14.399, usercpu_time_millis_testing: 0.706, usercpu_time_millis_training: 13.693,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4997, f_measure: 0.3813, kb_relative_information_score: -0.0337, 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: 1833.639, usercpu_time_millis: 8.435, usercpu_time_millis_testing: 1.333, usercpu_time_millis_training: 7.102,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8189, f_measure: 0.7557, kappa: 0.5071, kb_relative_information_score: 938.8573, mean_absolute_error: 0.3916, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7587, predictive_accuracy: 0.7577, prior_entropy: 0.9948, recall: 0.7577, relative_absolute_error: 0.7888, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4233, root_relative_squared_error: 0.8497, scimark_benchmark: 1852.4008, usercpu_time_millis: 40.797, usercpu_time_millis_testing: 0.85, usercpu_time_millis_training: 39.947,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8248, f_measure: 0.7629, kappa: 0.5216, kb_relative_information_score: 1164.6181, mean_absolute_error: 0.3615, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7662, predictive_accuracy: 0.7649, prior_entropy: 0.9948, recall: 0.7649, relative_absolute_error: 0.7282, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4123, root_relative_squared_error: 0.8276, scimark_benchmark: 1852.4008, usercpu_time_millis: 17.559, usercpu_time_millis_testing: 0.65, usercpu_time_millis_training: 16.909,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8167, f_measure: 0.7534, kappa: 0.5025, kb_relative_information_score: 909.6877, mean_absolute_error: 0.3953, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.756, predictive_accuracy: 0.7553, prior_entropy: 0.9948, recall: 0.7553, relative_absolute_error: 0.7963, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4253, root_relative_squared_error: 0.8537, scimark_benchmark: 1852.9259, usercpu_time_millis: 188.891, usercpu_time_millis_testing: 1.86, usercpu_time_millis_training: 187.031,

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