Task
Supervised Classification on rmftsa_ladata

Supervised Classification on rmftsa_ladata

Task 3583 Supervised Classification rmftsa_ladata 547 runs submitted
0 likes downloaded by 0 people , 0 total downloads 0 issues
Visibility: Public
  • mythbusting_1 study_1 study_107 study_15 study_20 study_41 study_7 under100k under1m
Issue #Downvotes for this reason By


Metric:

547 Runs

Fetching data
Fetching data
Search runs in more detail
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9273, f_measure: 0.8681, kappa: 0.7321, kb_relative_information_score: 350.9417, mean_absolute_error: 0.157, mean_prior_absolute_error: 0.4921, number_of_instances: 508, precision: 0.8682, predictive_accuracy: 0.8681, prior_entropy: 0.9886, recall: 0.8681, relative_absolute_error: 0.319, root_mean_prior_squared_error: 0.496, root_mean_squared_error: 0.3188, root_relative_squared_error: 0.6427,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9526, f_measure: 0.9015, kappa: 0.7996, kb_relative_information_score: 350.935, mean_absolute_error: 0.1629, mean_prior_absolute_error: 0.4921, number_of_instances: 508, precision: 0.9015, predictive_accuracy: 0.9016, prior_entropy: 0.9886, recall: 0.9016, relative_absolute_error: 0.331, root_mean_prior_squared_error: 0.496, root_mean_squared_error: 0.2863, root_relative_squared_error: 0.5772,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9328, f_measure: 0.8829, kappa: 0.7612, kb_relative_information_score: 327.1966, mean_absolute_error: 0.1894, mean_prior_absolute_error: 0.4921, number_of_instances: 508, precision: 0.8858, predictive_accuracy: 0.8839, prior_entropy: 0.9886, recall: 0.8839, relative_absolute_error: 0.3849, root_mean_prior_squared_error: 0.496, root_mean_squared_error: 0.3092, root_relative_squared_error: 0.6233,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8858, f_measure: 0.8724, kappa: 0.7417, kb_relative_information_score: 338.7674, mean_absolute_error: 0.1752, mean_prior_absolute_error: 0.4921, number_of_instances: 508, precision: 0.8739, predictive_accuracy: 0.872, prior_entropy: 0.9886, recall: 0.872, relative_absolute_error: 0.356, root_mean_prior_squared_error: 0.496, root_mean_squared_error: 0.3309, root_relative_squared_error: 0.6672,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8767, f_measure: 0.8617, kappa: 0.7183, kb_relative_information_score: 337.9683, mean_absolute_error: 0.1719, mean_prior_absolute_error: 0.4921, number_of_instances: 508, precision: 0.8622, predictive_accuracy: 0.8622, prior_entropy: 0.9886, recall: 0.8622, relative_absolute_error: 0.3493, root_mean_prior_squared_error: 0.496, root_mean_squared_error: 0.35, root_relative_squared_error: 0.7056,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8902, f_measure: 0.8674, kappa: 0.7297, kb_relative_information_score: 337.8957, mean_absolute_error: 0.1704, mean_prior_absolute_error: 0.4921, number_of_instances: 508, precision: 0.8687, predictive_accuracy: 0.8681, prior_entropy: 0.9886, recall: 0.8681, relative_absolute_error: 0.3464, root_mean_prior_squared_error: 0.496, root_mean_squared_error: 0.3451, root_relative_squared_error: 0.6957,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9209, f_measure: 0.8679, kappa: 0.731, kb_relative_information_score: 371.8262, mean_absolute_error: 0.1308, mean_prior_absolute_error: 0.4921, number_of_instances: 508, precision: 0.8679, predictive_accuracy: 0.8681, prior_entropy: 0.9886, recall: 0.8681, relative_absolute_error: 0.2658, root_mean_prior_squared_error: 0.496, root_mean_squared_error: 0.3524, root_relative_squared_error: 0.7105,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9209, f_measure: 0.8598, kappa: 0.7144, kb_relative_information_score: 342.1595, mean_absolute_error: 0.1659, mean_prior_absolute_error: 0.4921, number_of_instances: 508, precision: 0.8601, predictive_accuracy: 0.8602, prior_entropy: 0.9886, recall: 0.8602, relative_absolute_error: 0.3371, root_mean_prior_squared_error: 0.496, root_mean_squared_error: 0.3276, root_relative_squared_error: 0.6604,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9359, f_measure: 0.8453, kappa: 0.6845, kb_relative_information_score: 320.7563, mean_absolute_error: 0.1865, mean_prior_absolute_error: 0.4921, number_of_instances: 508, precision: 0.8474, predictive_accuracy: 0.8465, prior_entropy: 0.9886, recall: 0.8465, relative_absolute_error: 0.3789, root_mean_prior_squared_error: 0.496, root_mean_squared_error: 0.3264, root_relative_squared_error: 0.658,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9352, f_measure: 0.8519, kappa: 0.6983, kb_relative_information_score: 345.6894, mean_absolute_error: 0.1581, mean_prior_absolute_error: 0.4921, number_of_instances: 508, precision: 0.8522, predictive_accuracy: 0.8524, prior_entropy: 0.9886, recall: 0.8524, relative_absolute_error: 0.3213, root_mean_prior_squared_error: 0.496, root_mean_squared_error: 0.339, root_relative_squared_error: 0.6835,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9229, f_measure: 0.8516, kappa: 0.6974, kb_relative_information_score: 342.1797, mean_absolute_error: 0.162, mean_prior_absolute_error: 0.4921, number_of_instances: 508, precision: 0.8527, predictive_accuracy: 0.8524, prior_entropy: 0.9886, recall: 0.8524, relative_absolute_error: 0.3293, root_mean_prior_squared_error: 0.496, root_mean_squared_error: 0.3559, root_relative_squared_error: 0.7176,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9216, f_measure: 0.83, kappa: 0.6535, kb_relative_information_score: 335.6933, mean_absolute_error: 0.1662, mean_prior_absolute_error: 0.4921, number_of_instances: 508, precision: 0.8305, predictive_accuracy: 0.8307, prior_entropy: 0.9886, recall: 0.8307, relative_absolute_error: 0.3378, root_mean_prior_squared_error: 0.496, root_mean_squared_error: 0.3616, root_relative_squared_error: 0.729,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.944, f_measure: 0.8672, kappa: 0.7291, kb_relative_information_score: 328.3017, mean_absolute_error: 0.1814, mean_prior_absolute_error: 0.4921, number_of_instances: 508, precision: 0.8693, predictive_accuracy: 0.8681, prior_entropy: 0.9886, recall: 0.8681, relative_absolute_error: 0.3686, root_mean_prior_squared_error: 0.496, root_mean_squared_error: 0.306, root_relative_squared_error: 0.617,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9077, f_measure: 0.8656, kappa: 0.726, kb_relative_information_score: 369.3846, mean_absolute_error: 0.1339, mean_prior_absolute_error: 0.4921, number_of_instances: 508, precision: 0.8663, predictive_accuracy: 0.8661, prior_entropy: 0.9886, recall: 0.8661, relative_absolute_error: 0.272, root_mean_prior_squared_error: 0.496, root_mean_squared_error: 0.3302, root_relative_squared_error: 0.6658,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.944, f_measure: 0.8919, kappa: 0.7807, kb_relative_information_score: 346.7092, mean_absolute_error: 0.1658, mean_prior_absolute_error: 0.4921, number_of_instances: 508, precision: 0.8924, predictive_accuracy: 0.8917, prior_entropy: 0.9886, recall: 0.8917, relative_absolute_error: 0.3369, root_mean_prior_squared_error: 0.496, root_mean_squared_error: 0.2939, root_relative_squared_error: 0.5925,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9445, f_measure: 0.8754, kappa: 0.746, kb_relative_information_score: 290.7031, mean_absolute_error: 0.2308, mean_prior_absolute_error: 0.4921, number_of_instances: 508, precision: 0.8764, predictive_accuracy: 0.876, prior_entropy: 0.9886, recall: 0.876, relative_absolute_error: 0.4689, root_mean_prior_squared_error: 0.496, root_mean_squared_error: 0.3072, root_relative_squared_error: 0.6193,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4922, f_measure: 0.4056, kb_relative_information_score: -0.0427, mean_absolute_error: 0.4921, mean_prior_absolute_error: 0.4921, number_of_instances: 508, precision: 0.317, predictive_accuracy: 0.563, prior_entropy: 0.9886, recall: 0.563, relative_absolute_error: 1, root_mean_prior_squared_error: 0.496, root_mean_squared_error: 0.496, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9371, f_measure: 0.8674, kappa: 0.7297, kb_relative_information_score: 337.9702, mean_absolute_error: 0.1708, mean_prior_absolute_error: 0.4921, number_of_instances: 508, precision: 0.8687, predictive_accuracy: 0.8681, prior_entropy: 0.9886, recall: 0.8681, relative_absolute_error: 0.347, root_mean_prior_squared_error: 0.496, root_mean_squared_error: 0.3039, root_relative_squared_error: 0.6127,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9299, f_measure: 0.8655, kappa: 0.7258, kb_relative_information_score: 336.9882, mean_absolute_error: 0.1708, mean_prior_absolute_error: 0.4921, number_of_instances: 508, precision: 0.8665, predictive_accuracy: 0.8661, prior_entropy: 0.9886, recall: 0.8661, relative_absolute_error: 0.347, root_mean_prior_squared_error: 0.496, root_mean_squared_error: 0.3085, root_relative_squared_error: 0.622,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9226, f_measure: 0.8441, kappa: 0.6825, kb_relative_information_score: 326.4577, mean_absolute_error: 0.1794, mean_prior_absolute_error: 0.4921, number_of_instances: 508, precision: 0.8442, predictive_accuracy: 0.8445, prior_entropy: 0.9886, recall: 0.8445, relative_absolute_error: 0.3646, root_mean_prior_squared_error: 0.496, root_mean_squared_error: 0.323, root_relative_squared_error: 0.6511,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9348, f_measure: 0.8696, kappa: 0.7344, kb_relative_information_score: 353.4811, mean_absolute_error: 0.1547, mean_prior_absolute_error: 0.4921, number_of_instances: 508, precision: 0.8701, predictive_accuracy: 0.8701, prior_entropy: 0.9886, recall: 0.8701, relative_absolute_error: 0.3145, root_mean_prior_squared_error: 0.496, root_mean_squared_error: 0.3231, root_relative_squared_error: 0.6514,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8399, f_measure: 0.8664, kappa: 0.7293, kb_relative_information_score: 343.5887, mean_absolute_error: 0.1667, mean_prior_absolute_error: 0.4921, number_of_instances: 508, precision: 0.8674, predictive_accuracy: 0.8661, prior_entropy: 0.9886, recall: 0.8661, relative_absolute_error: 0.3388, root_mean_prior_squared_error: 0.496, root_mean_squared_error: 0.3525, root_relative_squared_error: 0.7106,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.917, f_measure: 0.8361, kappa: 0.6661, kb_relative_information_score: 336.2209, mean_absolute_error: 0.1663, mean_prior_absolute_error: 0.4921, number_of_instances: 508, precision: 0.8363, predictive_accuracy: 0.8366, prior_entropy: 0.9886, recall: 0.8366, relative_absolute_error: 0.3379, root_mean_prior_squared_error: 0.496, root_mean_squared_error: 0.367, root_relative_squared_error: 0.74,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8582, f_measure: 0.8635, kappa: 0.7219, kb_relative_information_score: 366.7656, mean_absolute_error: 0.1358, mean_prior_absolute_error: 0.4921, number_of_instances: 508, precision: 0.8644, predictive_accuracy: 0.8642, prior_entropy: 0.9886, recall: 0.8642, relative_absolute_error: 0.276, root_mean_prior_squared_error: 0.496, root_mean_squared_error: 0.3685, root_relative_squared_error: 0.743,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9172, f_measure: 0.834, kappa: 0.6619, kb_relative_information_score: 336.2994, mean_absolute_error: 0.1661, mean_prior_absolute_error: 0.4921, number_of_instances: 508, precision: 0.8344, predictive_accuracy: 0.8346, prior_entropy: 0.9886, recall: 0.8346, relative_absolute_error: 0.3376, root_mean_prior_squared_error: 0.496, root_mean_squared_error: 0.3669, root_relative_squared_error: 0.7396,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8399, f_measure: 0.8664, kappa: 0.7293, kb_relative_information_score: 343.5887, mean_absolute_error: 0.1667, mean_prior_absolute_error: 0.4921, number_of_instances: 508, precision: 0.8674, predictive_accuracy: 0.8661, prior_entropy: 0.9886, recall: 0.8661, relative_absolute_error: 0.3388, root_mean_prior_squared_error: 0.496, root_mean_squared_error: 0.3525, root_relative_squared_error: 0.7106,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9181, f_measure: 0.8362, kappa: 0.6664, kb_relative_information_score: 331.3619, mean_absolute_error: 0.1716, mean_prior_absolute_error: 0.4921, number_of_instances: 508, precision: 0.8363, predictive_accuracy: 0.8366, prior_entropy: 0.9886, recall: 0.8366, relative_absolute_error: 0.3487, root_mean_prior_squared_error: 0.496, root_mean_squared_error: 0.3621, root_relative_squared_error: 0.7301,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.869, f_measure: 0.8736, kappa: 0.7424, kb_relative_information_score: 376.9966, mean_absolute_error: 0.126, mean_prior_absolute_error: 0.4921, number_of_instances: 508, precision: 0.8741, predictive_accuracy: 0.874, prior_entropy: 0.9886, recall: 0.874, relative_absolute_error: 0.256, root_mean_prior_squared_error: 0.496, root_mean_squared_error: 0.3549, root_relative_squared_error: 0.7156,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9562, f_measure: 0.8896, kappa: 0.7753, kb_relative_information_score: 344.9216, mean_absolute_error: 0.168, mean_prior_absolute_error: 0.4921, number_of_instances: 508, precision: 0.8897, predictive_accuracy: 0.8898, prior_entropy: 0.9886, recall: 0.8898, relative_absolute_error: 0.3413, root_mean_prior_squared_error: 0.496, root_mean_squared_error: 0.2853, root_relative_squared_error: 0.5752,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8494, f_measure: 0.8569, kappa: 0.7081, kb_relative_information_score: 360.627, mean_absolute_error: 0.1417, mean_prior_absolute_error: 0.4921, number_of_instances: 508, precision: 0.8603, predictive_accuracy: 0.8583, prior_entropy: 0.9886, recall: 0.8583, relative_absolute_error: 0.288, root_mean_prior_squared_error: 0.496, root_mean_squared_error: 0.3765, root_relative_squared_error: 0.759,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9187, f_measure: 0.842, kappa: 0.678, kb_relative_information_score: 336.3127, mean_absolute_error: 0.1667, mean_prior_absolute_error: 0.4921, number_of_instances: 508, precision: 0.8423, predictive_accuracy: 0.8425, prior_entropy: 0.9886, recall: 0.8425, relative_absolute_error: 0.3388, root_mean_prior_squared_error: 0.496, root_mean_squared_error: 0.3638, root_relative_squared_error: 0.7335,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9172, f_measure: 0.834, kappa: 0.6619, kb_relative_information_score: 336.2994, mean_absolute_error: 0.1661, mean_prior_absolute_error: 0.4921, number_of_instances: 508, precision: 0.8344, predictive_accuracy: 0.8346, prior_entropy: 0.9886, recall: 0.8346, relative_absolute_error: 0.3376, root_mean_prior_squared_error: 0.496, root_mean_squared_error: 0.3669, root_relative_squared_error: 0.7396,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7575, f_measure: 0.6306, kappa: 0.2579, kb_relative_information_score: 46.758, mean_absolute_error: 0.4528, mean_prior_absolute_error: 0.4921, number_of_instances: 508, precision: 0.6564, predictive_accuracy: 0.6516, prior_entropy: 0.9886, recall: 0.6516, relative_absolute_error: 0.9202, root_mean_prior_squared_error: 0.496, root_mean_squared_error: 0.468, root_relative_squared_error: 0.9436,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9396, f_measure: 0.8716, kappa: 0.7385, kb_relative_information_score: 331.0311, mean_absolute_error: 0.1803, mean_prior_absolute_error: 0.4921, number_of_instances: 508, precision: 0.872, predictive_accuracy: 0.872, prior_entropy: 0.9886, recall: 0.872, relative_absolute_error: 0.3664, root_mean_prior_squared_error: 0.496, root_mean_squared_error: 0.3067, root_relative_squared_error: 0.6183,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8422, f_measure: 0.8445, kappa: 0.6841, kb_relative_information_score: 346.3036, mean_absolute_error: 0.1555, mean_prior_absolute_error: 0.4921, number_of_instances: 508, precision: 0.8446, predictive_accuracy: 0.8445, prior_entropy: 0.9886, recall: 0.8445, relative_absolute_error: 0.316, root_mean_prior_squared_error: 0.496, root_mean_squared_error: 0.3944, root_relative_squared_error: 0.795,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8942, f_measure: 0.8957, kappa: 0.7881, kb_relative_information_score: 399.5049, mean_absolute_error: 0.1043, mean_prior_absolute_error: 0.4921, number_of_instances: 508, precision: 0.8957, predictive_accuracy: 0.8957, prior_entropy: 0.9886, recall: 0.8957, relative_absolute_error: 0.212, root_mean_prior_squared_error: 0.496, root_mean_squared_error: 0.323, root_relative_squared_error: 0.6512,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8862, f_measure: 0.8878, kappa: 0.7721, kb_relative_information_score: 391.3201, mean_absolute_error: 0.1122, mean_prior_absolute_error: 0.4921, number_of_instances: 508, precision: 0.8879, predictive_accuracy: 0.8878, prior_entropy: 0.9886, recall: 0.8878, relative_absolute_error: 0.228, root_mean_prior_squared_error: 0.496, root_mean_squared_error: 0.335, root_relative_squared_error: 0.6753,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8808, f_measure: 0.8802, kappa: 0.7573, kb_relative_information_score: 383.1353, mean_absolute_error: 0.1201, mean_prior_absolute_error: 0.4921, number_of_instances: 508, precision: 0.8813, predictive_accuracy: 0.8799, prior_entropy: 0.9886, recall: 0.8799, relative_absolute_error: 0.244, root_mean_prior_squared_error: 0.496, root_mean_squared_error: 0.3465, root_relative_squared_error: 0.6986,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6892, f_measure: 0.6917, kappa: 0.376, kb_relative_information_score: 186.6995, mean_absolute_error: 0.3091, mean_prior_absolute_error: 0.4921, number_of_instances: 508, precision: 0.6935, predictive_accuracy: 0.6909, prior_entropy: 0.9886, recall: 0.6909, relative_absolute_error: 0.628, root_mean_prior_squared_error: 0.496, root_mean_squared_error: 0.5559, root_relative_squared_error: 1.1208, scimark_benchmark: 1697.6783, usercpu_time_millis: 10968.75, usercpu_time_millis_training: 10968.75,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.4056, kb_relative_information_score: 53.6962, mean_absolute_error: 0.437, mean_prior_absolute_error: 0.4921, number_of_instances: 508, precision: 0.317, predictive_accuracy: 0.563, prior_entropy: 0.9886, recall: 0.563, relative_absolute_error: 0.8881, root_mean_prior_squared_error: 0.496, root_mean_squared_error: 0.6611, root_relative_squared_error: 1.3328, scimark_benchmark: 1697.6783, usercpu_time_millis: 46.875, usercpu_time_millis_testing: 15.625, usercpu_time_millis_training: 31.25,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.4056, kb_relative_information_score: 53.6962, mean_absolute_error: 0.437, mean_prior_absolute_error: 0.4921, number_of_instances: 508, precision: 0.317, predictive_accuracy: 0.563, prior_entropy: 0.9886, recall: 0.563, relative_absolute_error: 0.8881, root_mean_prior_squared_error: 0.496, root_mean_squared_error: 0.6611, root_relative_squared_error: 1.3328, scimark_benchmark: 1862.8608, usercpu_time_millis: 109.375, usercpu_time_millis_testing: 46.875, usercpu_time_millis_training: 62.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.4056, kb_relative_information_score: 53.6962, mean_absolute_error: 0.437, mean_prior_absolute_error: 0.4921, number_of_instances: 508, precision: 0.317, predictive_accuracy: 0.563, prior_entropy: 0.9886, recall: 0.563, relative_absolute_error: 0.8881, root_mean_prior_squared_error: 0.496, root_mean_squared_error: 0.6611, root_relative_squared_error: 1.3328, scimark_benchmark: 1359.1382, usercpu_time_millis: 70, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.4056, kb_relative_information_score: 53.6962, mean_absolute_error: 0.437, mean_prior_absolute_error: 0.4921, number_of_instances: 508, precision: 0.317, predictive_accuracy: 0.563, prior_entropy: 0.9886, recall: 0.563, relative_absolute_error: 0.8881, root_mean_prior_squared_error: 0.496, root_mean_squared_error: 0.6611, root_relative_squared_error: 1.3328, scimark_benchmark: 1385.3743, usercpu_time_millis: 130, usercpu_time_millis_testing: 60, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6892, f_measure: 0.6917, kappa: 0.376, kb_relative_information_score: 186.6995, mean_absolute_error: 0.3091, mean_prior_absolute_error: 0.4921, number_of_instances: 508, precision: 0.6935, predictive_accuracy: 0.6909, prior_entropy: 0.9886, recall: 0.6909, relative_absolute_error: 0.628, root_mean_prior_squared_error: 0.496, root_mean_squared_error: 0.5559, root_relative_squared_error: 1.1208, scimark_benchmark: 1673.2181, usercpu_time_millis: 11200, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 11190,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8981, f_measure: 0.876, kappa: 0.7478, kb_relative_information_score: 336.0239, mean_absolute_error: 0.1795, mean_prior_absolute_error: 0.4921, number_of_instances: 508, precision: 0.8759, predictive_accuracy: 0.876, prior_entropy: 0.9886, recall: 0.876, relative_absolute_error: 0.3648, root_mean_prior_squared_error: 0.496, root_mean_squared_error: 0.3246, root_relative_squared_error: 0.6544, scimark_benchmark: 1918.4916, usercpu_time_millis: 1437.5, usercpu_time_millis_testing: 15.625, usercpu_time_millis_training: 1421.875,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9513, f_measure: 0.88, kappa: 0.7561, kb_relative_information_score: 350.3444, mean_absolute_error: 0.1599, mean_prior_absolute_error: 0.4921, number_of_instances: 508, precision: 0.88, predictive_accuracy: 0.8799, prior_entropy: 0.9886, recall: 0.8799, relative_absolute_error: 0.3249, root_mean_prior_squared_error: 0.496, root_mean_squared_error: 0.2968, root_relative_squared_error: 0.5985, scimark_benchmark: 1918.4916, usercpu_time_millis: 1437.5, usercpu_time_millis_training: 1437.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.888, f_measure: 0.8898, kappa: 0.776, kb_relative_information_score: 393.3663, mean_absolute_error: 0.1102, mean_prior_absolute_error: 0.4921, number_of_instances: 508, precision: 0.8898, predictive_accuracy: 0.8898, prior_entropy: 0.9886, recall: 0.8898, relative_absolute_error: 0.224, root_mean_prior_squared_error: 0.496, root_mean_squared_error: 0.332, root_relative_squared_error: 0.6694, scimark_benchmark: 1427.64, usercpu_time_millis: 156.25, usercpu_time_millis_testing: 15.625, usercpu_time_millis_training: 140.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9407, f_measure: 0.8686, kappa: 0.7345, kb_relative_information_score: 361.4775, mean_absolute_error: 0.1421, mean_prior_absolute_error: 0.4921, number_of_instances: 508, precision: 0.8714, predictive_accuracy: 0.8681, prior_entropy: 0.9886, recall: 0.8681, relative_absolute_error: 0.2887, root_mean_prior_squared_error: 0.496, root_mean_squared_error: 0.3347, root_relative_squared_error: 0.6747, scimark_benchmark: 1307.689, usercpu_time_millis: 690, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 680,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9514, f_measure: 0.8819, kappa: 0.76, kb_relative_information_score: 350.038, mean_absolute_error: 0.1604, mean_prior_absolute_error: 0.4921, number_of_instances: 508, precision: 0.8819, predictive_accuracy: 0.8819, prior_entropy: 0.9886, recall: 0.8819, relative_absolute_error: 0.3259, root_mean_prior_squared_error: 0.496, root_mean_squared_error: 0.2962, root_relative_squared_error: 0.5973, scimark_benchmark: 1871.4229, usercpu_time_millis: 125, usercpu_time_millis_training: 125,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9172, f_measure: 0.834, kappa: 0.6619, kb_relative_information_score: 336.2994, mean_absolute_error: 0.1661, mean_prior_absolute_error: 0.4921, number_of_instances: 508, precision: 0.8344, predictive_accuracy: 0.8346, prior_entropy: 0.9886, recall: 0.8346, relative_absolute_error: 0.3376, root_mean_prior_squared_error: 0.496, root_mean_squared_error: 0.3669, root_relative_squared_error: 0.7396, scimark_benchmark: 1466.2006, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8627, f_measure: 0.8676, kappa: 0.7302, kb_relative_information_score: 370.858, mean_absolute_error: 0.1319, mean_prior_absolute_error: 0.4921, number_of_instances: 508, precision: 0.8682, predictive_accuracy: 0.8681, prior_entropy: 0.9886, recall: 0.8681, relative_absolute_error: 0.268, root_mean_prior_squared_error: 0.496, root_mean_squared_error: 0.3632, root_relative_squared_error: 0.7322, scimark_benchmark: 1618.1738,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8862, f_measure: 0.8878, kappa: 0.7721, kb_relative_information_score: 391.3201, mean_absolute_error: 0.1122, mean_prior_absolute_error: 0.4921, number_of_instances: 508, precision: 0.8879, predictive_accuracy: 0.8878, prior_entropy: 0.9886, recall: 0.8878, relative_absolute_error: 0.228, root_mean_prior_squared_error: 0.496, root_mean_squared_error: 0.335, root_relative_squared_error: 0.6753, scimark_benchmark: 1618.1738, usercpu_time_millis: 15.625, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9263, f_measure: 0.8818, kappa: 0.7597, kb_relative_information_score: 335.6749, mean_absolute_error: 0.1797, mean_prior_absolute_error: 0.4921, number_of_instances: 508, precision: 0.8818, predictive_accuracy: 0.8819, prior_entropy: 0.9886, recall: 0.8819, relative_absolute_error: 0.3652, root_mean_prior_squared_error: 0.496, root_mean_squared_error: 0.3148, root_relative_squared_error: 0.6346, scimark_benchmark: 1744.8652, usercpu_time_millis: 140.625, usercpu_time_millis_training: 140.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9564, f_measure: 0.8995, kappa: 0.7957, kb_relative_information_score: 353.2085, mean_absolute_error: 0.158, mean_prior_absolute_error: 0.4921, number_of_instances: 508, precision: 0.8995, predictive_accuracy: 0.8996, prior_entropy: 0.9886, recall: 0.8996, relative_absolute_error: 0.3211, root_mean_prior_squared_error: 0.496, root_mean_squared_error: 0.2897, root_relative_squared_error: 0.5841, scimark_benchmark: 1744.8652, usercpu_time_millis: 15.625, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.841, f_measure: 0.8462, kappa: 0.687, kb_relative_information_score: 347.2297, mean_absolute_error: 0.1551, mean_prior_absolute_error: 0.4921, number_of_instances: 508, precision: 0.8462, predictive_accuracy: 0.8465, prior_entropy: 0.9886, recall: 0.8465, relative_absolute_error: 0.3151, root_mean_prior_squared_error: 0.496, root_mean_squared_error: 0.391, root_relative_squared_error: 0.7883, scimark_benchmark: 1744.8652, usercpu_time_millis: 15.625, usercpu_time_millis_testing: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9534, f_measure: 0.8815, kappa: 0.7585, kb_relative_information_score: 369.3779, mean_absolute_error: 0.1375, mean_prior_absolute_error: 0.4921, number_of_instances: 508, precision: 0.882, predictive_accuracy: 0.8819, prior_entropy: 0.9886, recall: 0.8819, relative_absolute_error: 0.2793, root_mean_prior_squared_error: 0.496, root_mean_squared_error: 0.3012, root_relative_squared_error: 0.6073, scimark_benchmark: 1744.8652, usercpu_time_millis: 125, usercpu_time_millis_testing: 15.625, usercpu_time_millis_training: 109.375,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8952, f_measure: 0.894, kappa: 0.7853, kb_relative_information_score: 349.1464, mean_absolute_error: 0.1681, mean_prior_absolute_error: 0.4921, number_of_instances: 508, precision: 0.8952, predictive_accuracy: 0.8937, prior_entropy: 0.9886, recall: 0.8937, relative_absolute_error: 0.3416, root_mean_prior_squared_error: 0.496, root_mean_squared_error: 0.3072, root_relative_squared_error: 0.6194, scimark_benchmark: 1744.8652, usercpu_time_millis: 15.625, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9052, f_measure: 0.8683, kappa: 0.7326, kb_relative_information_score: 330.5702, mean_absolute_error: 0.1821, mean_prior_absolute_error: 0.4921, number_of_instances: 508, precision: 0.8686, predictive_accuracy: 0.8681, prior_entropy: 0.9886, recall: 0.8681, relative_absolute_error: 0.3701, root_mean_prior_squared_error: 0.496, root_mean_squared_error: 0.3311, root_relative_squared_error: 0.6676, scimark_benchmark: 1744.8652,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9541, f_measure: 0.8855, kappa: 0.7668, kb_relative_information_score: 344.2355, mean_absolute_error: 0.1683, mean_prior_absolute_error: 0.4921, number_of_instances: 508, precision: 0.8859, predictive_accuracy: 0.8858, prior_entropy: 0.9886, recall: 0.8858, relative_absolute_error: 0.342, root_mean_prior_squared_error: 0.496, root_mean_squared_error: 0.2885, root_relative_squared_error: 0.5815, scimark_benchmark: 1744.8652, usercpu_time_millis: 78.125, usercpu_time_millis_training: 78.125,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8767, f_measure: 0.8617, kappa: 0.7183, kb_relative_information_score: 337.9683, mean_absolute_error: 0.1719, mean_prior_absolute_error: 0.4921, number_of_instances: 508, precision: 0.8622, predictive_accuracy: 0.8622, prior_entropy: 0.9886, recall: 0.8622, relative_absolute_error: 0.3493, root_mean_prior_squared_error: 0.496, root_mean_squared_error: 0.35, root_relative_squared_error: 0.7056, scimark_benchmark: 1744.8652,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8412, f_measure: 0.8723, kappa: 0.7411, kb_relative_information_score: 347.1773, mean_absolute_error: 0.1637, mean_prior_absolute_error: 0.4921, number_of_instances: 508, precision: 0.8731, predictive_accuracy: 0.872, prior_entropy: 0.9886, recall: 0.872, relative_absolute_error: 0.3326, root_mean_prior_squared_error: 0.496, root_mean_squared_error: 0.3479, root_relative_squared_error: 0.7015, scimark_benchmark: 1744.8652,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9172, f_measure: 0.834, kappa: 0.6619, kb_relative_information_score: 336.2994, mean_absolute_error: 0.1661, mean_prior_absolute_error: 0.4921, number_of_instances: 508, precision: 0.8344, predictive_accuracy: 0.8346, prior_entropy: 0.9886, recall: 0.8346, relative_absolute_error: 0.3376, root_mean_prior_squared_error: 0.496, root_mean_squared_error: 0.3669, root_relative_squared_error: 0.7396, scimark_benchmark: 1744.8652,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8605, f_measure: 0.8656, kappa: 0.726, kb_relative_information_score: 368.8118, mean_absolute_error: 0.1339, mean_prior_absolute_error: 0.4921, number_of_instances: 508, precision: 0.8663, predictive_accuracy: 0.8661, prior_entropy: 0.9886, recall: 0.8661, relative_absolute_error: 0.272, root_mean_prior_squared_error: 0.496, root_mean_squared_error: 0.3659, root_relative_squared_error: 0.7376, scimark_benchmark: 1744.8652,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8862, f_measure: 0.8878, kappa: 0.7721, kb_relative_information_score: 391.3201, mean_absolute_error: 0.1122, mean_prior_absolute_error: 0.4921, number_of_instances: 508, precision: 0.8879, predictive_accuracy: 0.8878, prior_entropy: 0.9886, recall: 0.8878, relative_absolute_error: 0.228, root_mean_prior_squared_error: 0.496, root_mean_squared_error: 0.335, root_relative_squared_error: 0.6753, scimark_benchmark: 1744.8652, usercpu_time_millis: 15.625, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9263, f_measure: 0.8818, kappa: 0.7597, kb_relative_information_score: 335.6739, mean_absolute_error: 0.1797, mean_prior_absolute_error: 0.4921, number_of_instances: 508, precision: 0.8818, predictive_accuracy: 0.8819, prior_entropy: 0.9886, recall: 0.8819, relative_absolute_error: 0.3652, root_mean_prior_squared_error: 0.496, root_mean_squared_error: 0.3148, root_relative_squared_error: 0.6346, scimark_benchmark: 1744.8652, usercpu_time_millis: 125, usercpu_time_millis_training: 125,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9564, f_measure: 0.8995, kappa: 0.7957, kb_relative_information_score: 353.2085, mean_absolute_error: 0.158, mean_prior_absolute_error: 0.4921, number_of_instances: 508, precision: 0.8995, predictive_accuracy: 0.8996, prior_entropy: 0.9886, recall: 0.8996, relative_absolute_error: 0.3211, root_mean_prior_squared_error: 0.496, root_mean_squared_error: 0.2897, root_relative_squared_error: 0.5841, scimark_benchmark: 1744.8652, usercpu_time_millis: 15.625, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.841, f_measure: 0.8462, kappa: 0.687, kb_relative_information_score: 347.2297, mean_absolute_error: 0.1551, mean_prior_absolute_error: 0.4921, number_of_instances: 508, precision: 0.8462, predictive_accuracy: 0.8465, prior_entropy: 0.9886, recall: 0.8465, relative_absolute_error: 0.3151, root_mean_prior_squared_error: 0.496, root_mean_squared_error: 0.391, root_relative_squared_error: 0.7883, scimark_benchmark: 1744.8652, usercpu_time_millis: 15.625, usercpu_time_millis_testing: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9534, f_measure: 0.8815, kappa: 0.7585, kb_relative_information_score: 369.3779, mean_absolute_error: 0.1375, mean_prior_absolute_error: 0.4921, number_of_instances: 508, precision: 0.882, predictive_accuracy: 0.8819, prior_entropy: 0.9886, recall: 0.8819, relative_absolute_error: 0.2793, root_mean_prior_squared_error: 0.496, root_mean_squared_error: 0.3012, root_relative_squared_error: 0.6073, scimark_benchmark: 1744.8652, usercpu_time_millis: 109.375, usercpu_time_millis_training: 109.375,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8674, f_measure: 0.8839, kappa: 0.7641, kb_relative_information_score: 344.0402, mean_absolute_error: 0.1718, mean_prior_absolute_error: 0.4921, number_of_instances: 508, precision: 0.8839, predictive_accuracy: 0.8839, prior_entropy: 0.9886, recall: 0.8839, relative_absolute_error: 0.3491, root_mean_prior_squared_error: 0.496, root_mean_squared_error: 0.3261, root_relative_squared_error: 0.6575, scimark_benchmark: 1744.8652, usercpu_time_millis: 15.625, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9052, f_measure: 0.8683, kappa: 0.7326, kb_relative_information_score: 330.5702, mean_absolute_error: 0.1821, mean_prior_absolute_error: 0.4921, number_of_instances: 508, precision: 0.8686, predictive_accuracy: 0.8681, prior_entropy: 0.9886, recall: 0.8681, relative_absolute_error: 0.3701, root_mean_prior_squared_error: 0.496, root_mean_squared_error: 0.3311, root_relative_squared_error: 0.6676, scimark_benchmark: 1744.8652,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9552, f_measure: 0.8916, kappa: 0.7796, kb_relative_information_score: 344.9273, mean_absolute_error: 0.1678, mean_prior_absolute_error: 0.4921, number_of_instances: 508, precision: 0.8916, predictive_accuracy: 0.8917, prior_entropy: 0.9886, recall: 0.8917, relative_absolute_error: 0.3409, root_mean_prior_squared_error: 0.496, root_mean_squared_error: 0.287, root_relative_squared_error: 0.5786, scimark_benchmark: 1744.8652, usercpu_time_millis: 171.875, usercpu_time_millis_testing: 46.875, usercpu_time_millis_training: 125,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8767, f_measure: 0.8617, kappa: 0.7183, kb_relative_information_score: 337.9683, mean_absolute_error: 0.1719, mean_prior_absolute_error: 0.4921, number_of_instances: 508, precision: 0.8622, predictive_accuracy: 0.8622, prior_entropy: 0.9886, recall: 0.8622, relative_absolute_error: 0.3493, root_mean_prior_squared_error: 0.496, root_mean_squared_error: 0.35, root_relative_squared_error: 0.7056, scimark_benchmark: 1744.8652,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8445, f_measure: 0.8742, kappa: 0.745, kb_relative_information_score: 349.2235, mean_absolute_error: 0.1617, mean_prior_absolute_error: 0.4921, number_of_instances: 508, precision: 0.8749, predictive_accuracy: 0.874, prior_entropy: 0.9886, recall: 0.874, relative_absolute_error: 0.3286, root_mean_prior_squared_error: 0.496, root_mean_squared_error: 0.3451, root_relative_squared_error: 0.6958, scimark_benchmark: 1744.8652, usercpu_time_millis: 15.625, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9564, f_measure: 0.8995, kappa: 0.7957, kb_relative_information_score: 353.2085, mean_absolute_error: 0.158, mean_prior_absolute_error: 0.4921, number_of_instances: 508, precision: 0.8995, predictive_accuracy: 0.8996, prior_entropy: 0.9886, recall: 0.8996, relative_absolute_error: 0.3211, root_mean_prior_squared_error: 0.496, root_mean_squared_error: 0.2897, root_relative_squared_error: 0.5841, scimark_benchmark: 1834.908, usercpu_time_millis: 15.625, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9534, f_measure: 0.8815, kappa: 0.7585, kb_relative_information_score: 369.3779, mean_absolute_error: 0.1375, mean_prior_absolute_error: 0.4921, number_of_instances: 508, precision: 0.882, predictive_accuracy: 0.8819, prior_entropy: 0.9886, recall: 0.8819, relative_absolute_error: 0.2793, root_mean_prior_squared_error: 0.496, root_mean_squared_error: 0.3012, root_relative_squared_error: 0.6073, scimark_benchmark: 1788.6668, usercpu_time_millis: 125, usercpu_time_millis_training: 125,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9263, f_measure: 0.8818, kappa: 0.7597, kb_relative_information_score: 335.6745, mean_absolute_error: 0.1797, mean_prior_absolute_error: 0.4921, number_of_instances: 508, precision: 0.8818, predictive_accuracy: 0.8819, prior_entropy: 0.9886, recall: 0.8819, relative_absolute_error: 0.3652, root_mean_prior_squared_error: 0.496, root_mean_squared_error: 0.3148, root_relative_squared_error: 0.6346, scimark_benchmark: 1788.6668, usercpu_time_millis: 140.625, usercpu_time_millis_training: 140.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9455, f_measure: 0.8736, kappa: 0.7427, kb_relative_information_score: 354.1323, mean_absolute_error: 0.1539, mean_prior_absolute_error: 0.4921, number_of_instances: 508, precision: 0.874, predictive_accuracy: 0.874, prior_entropy: 0.9886, recall: 0.874, relative_absolute_error: 0.3127, root_mean_prior_squared_error: 0.496, root_mean_squared_error: 0.3051, root_relative_squared_error: 0.6151, scimark_benchmark: 1788.6668, usercpu_time_millis: 62.5, usercpu_time_millis_training: 62.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8852, f_measure: 0.8723, kappa: 0.7411, kb_relative_information_score: 333.4355, mean_absolute_error: 0.1825, mean_prior_absolute_error: 0.4921, number_of_instances: 508, precision: 0.8731, predictive_accuracy: 0.872, prior_entropy: 0.9886, recall: 0.872, relative_absolute_error: 0.3708, root_mean_prior_squared_error: 0.496, root_mean_squared_error: 0.3229, root_relative_squared_error: 0.6509, scimark_benchmark: 1788.6668, usercpu_time_millis: 15.625, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9367, f_measure: 0.8797, kappa: 0.7551, kb_relative_information_score: 329.3842, mean_absolute_error: 0.1879, mean_prior_absolute_error: 0.4921, number_of_instances: 508, precision: 0.8798, predictive_accuracy: 0.8799, prior_entropy: 0.9886, recall: 0.8799, relative_absolute_error: 0.3818, root_mean_prior_squared_error: 0.496, root_mean_squared_error: 0.2998, root_relative_squared_error: 0.6044, scimark_benchmark: 1788.6668, usercpu_time_millis: 109.375, usercpu_time_millis_training: 109.375,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.947, f_measure: 0.8796, kappa: 0.7549, kb_relative_information_score: 337.9734, mean_absolute_error: 0.1748, mean_prior_absolute_error: 0.4921, number_of_instances: 508, precision: 0.8799, predictive_accuracy: 0.8799, prior_entropy: 0.9886, recall: 0.8799, relative_absolute_error: 0.3553, root_mean_prior_squared_error: 0.496, root_mean_squared_error: 0.2958, root_relative_squared_error: 0.5965, scimark_benchmark: 1788.6668, usercpu_time_millis: 15.625, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8534, f_measure: 0.8609, kappa: 0.7162, kb_relative_information_score: 364.7194, mean_absolute_error: 0.1378, mean_prior_absolute_error: 0.4921, number_of_instances: 508, precision: 0.8643, predictive_accuracy: 0.8622, prior_entropy: 0.9886, recall: 0.8622, relative_absolute_error: 0.28, root_mean_prior_squared_error: 0.496, root_mean_squared_error: 0.3712, root_relative_squared_error: 0.7484, scimark_benchmark: 1788.6668,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8582, f_measure: 0.8635, kappa: 0.7219, kb_relative_information_score: 366.7656, mean_absolute_error: 0.1358, mean_prior_absolute_error: 0.4921, number_of_instances: 508, precision: 0.8644, predictive_accuracy: 0.8642, prior_entropy: 0.9886, recall: 0.8642, relative_absolute_error: 0.276, root_mean_prior_squared_error: 0.496, root_mean_squared_error: 0.3685, root_relative_squared_error: 0.743, scimark_benchmark: 895.0097, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8858, f_measure: 0.8724, kappa: 0.7417, kb_relative_information_score: 338.7674, mean_absolute_error: 0.1752, mean_prior_absolute_error: 0.4921, number_of_instances: 508, precision: 0.8739, predictive_accuracy: 0.872, prior_entropy: 0.9886, recall: 0.872, relative_absolute_error: 0.356, root_mean_prior_squared_error: 0.496, root_mean_squared_error: 0.3309, root_relative_squared_error: 0.6672, scimark_benchmark: 1325.5159, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9404, f_measure: 0.8587, kappa: 0.7118, kb_relative_information_score: 323.5195, mean_absolute_error: 0.1854, mean_prior_absolute_error: 0.4921, number_of_instances: 508, precision: 0.8631, predictive_accuracy: 0.8602, prior_entropy: 0.9886, recall: 0.8602, relative_absolute_error: 0.3767, root_mean_prior_squared_error: 0.496, root_mean_squared_error: 0.3115, root_relative_squared_error: 0.628, scimark_benchmark: 1860.4354, usercpu_time_millis: 15.625, usercpu_time_millis_testing: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8868, f_measure: 0.8376, kappa: 0.6688, kb_relative_information_score: 332.3619, mean_absolute_error: 0.169, mean_prior_absolute_error: 0.4921, number_of_instances: 508, precision: 0.8475, predictive_accuracy: 0.8406, prior_entropy: 0.9886, recall: 0.8406, relative_absolute_error: 0.3435, root_mean_prior_squared_error: 0.496, root_mean_squared_error: 0.3526, root_relative_squared_error: 0.7109, scimark_benchmark: 1840.6094, usercpu_time_millis: 15.625, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8948, f_measure: 0.841, kappa: 0.676, kb_relative_information_score: 345.7458, mean_absolute_error: 0.1563, mean_prior_absolute_error: 0.4921, number_of_instances: 508, precision: 0.8546, predictive_accuracy: 0.8445, prior_entropy: 0.9886, recall: 0.8445, relative_absolute_error: 0.3175, root_mean_prior_squared_error: 0.496, root_mean_squared_error: 0.3362, root_relative_squared_error: 0.6778, scimark_benchmark: 1840.6094, usercpu_time_millis: 31.25, usercpu_time_millis_testing: 31.25,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9453, f_measure: 0.8637, kappa: 0.7221, kb_relative_information_score: 320.3015, mean_absolute_error: 0.1909, mean_prior_absolute_error: 0.4921, number_of_instances: 508, precision: 0.874, predictive_accuracy: 0.8661, prior_entropy: 0.9886, recall: 0.8661, relative_absolute_error: 0.3879, root_mean_prior_squared_error: 0.496, root_mean_squared_error: 0.3036, root_relative_squared_error: 0.612, scimark_benchmark: 1873.1108, usercpu_time_millis: 46.875, usercpu_time_millis_testing: 46.875,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9224, f_measure: 0.8519, kappa: 0.6983, kb_relative_information_score: 330.0807, mean_absolute_error: 0.1771, mean_prior_absolute_error: 0.4921, number_of_instances: 508, precision: 0.8522, predictive_accuracy: 0.8524, prior_entropy: 0.9886, recall: 0.8524, relative_absolute_error: 0.3598, root_mean_prior_squared_error: 0.496, root_mean_squared_error: 0.3193, root_relative_squared_error: 0.6437, scimark_benchmark: 1873.1108, usercpu_time_millis: 15.625, usercpu_time_millis_testing: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9371, f_measure: 0.8674, kappa: 0.7297, kb_relative_information_score: 337.9702, mean_absolute_error: 0.1708, mean_prior_absolute_error: 0.4921, number_of_instances: 508, precision: 0.8687, predictive_accuracy: 0.8681, prior_entropy: 0.9886, recall: 0.8681, relative_absolute_error: 0.347, root_mean_prior_squared_error: 0.496, root_mean_squared_error: 0.3039, root_relative_squared_error: 0.6127, scimark_benchmark: 1873.1108,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.884, f_measure: 0.8858, kappa: 0.768, kb_relative_information_score: 389.2739, mean_absolute_error: 0.1142, mean_prior_absolute_error: 0.4921, number_of_instances: 508, precision: 0.8858, predictive_accuracy: 0.8858, prior_entropy: 0.9886, recall: 0.8858, relative_absolute_error: 0.232, root_mean_prior_squared_error: 0.496, root_mean_squared_error: 0.3379, root_relative_squared_error: 0.6812,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7685, f_measure: 0.7718, kappa: 0.5364, kb_relative_information_score: 270.5939, mean_absolute_error: 0.2283, mean_prior_absolute_error: 0.4921, number_of_instances: 508, precision: 0.7719, predictive_accuracy: 0.7717, prior_entropy: 0.9886, recall: 0.7717, relative_absolute_error: 0.464, root_mean_prior_squared_error: 0.496, root_mean_squared_error: 0.4779, root_relative_squared_error: 0.9634,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8665, f_measure: 0.8699, kappa: 0.7352, kb_relative_information_score: 372.9042, mean_absolute_error: 0.1299, mean_prior_absolute_error: 0.4921, number_of_instances: 508, precision: 0.8699, predictive_accuracy: 0.8701, prior_entropy: 0.9886, recall: 0.8701, relative_absolute_error: 0.264, root_mean_prior_squared_error: 0.496, root_mean_squared_error: 0.3604, root_relative_squared_error: 0.7267, scimark_benchmark: 1779.392, usercpu_time_millis: 15.6001, usercpu_time_millis_training: 15.6001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8862, f_measure: 0.8878, kappa: 0.7721, kb_relative_information_score: 391.3201, mean_absolute_error: 0.1122, mean_prior_absolute_error: 0.4921, number_of_instances: 508, precision: 0.8879, predictive_accuracy: 0.8878, prior_entropy: 0.9886, recall: 0.8878, relative_absolute_error: 0.228, root_mean_prior_squared_error: 0.496, root_mean_squared_error: 0.335, root_relative_squared_error: 0.6753, scimark_benchmark: 1779.392, usercpu_time_millis: 15.6001, usercpu_time_millis_training: 15.6001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8919, f_measure: 0.8679, kappa: 0.7313, kb_relative_information_score: 322.0098, mean_absolute_error: 0.194, mean_prior_absolute_error: 0.4921, number_of_instances: 508, precision: 0.8679, predictive_accuracy: 0.8681, prior_entropy: 0.9886, recall: 0.8681, relative_absolute_error: 0.3942, root_mean_prior_squared_error: 0.496, root_mean_squared_error: 0.3288, root_relative_squared_error: 0.663, scimark_benchmark: 1779.392,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9032, f_measure: 0.8663, kappa: 0.7285, kb_relative_information_score: 327.8828, mean_absolute_error: 0.1853, mean_prior_absolute_error: 0.4921, number_of_instances: 508, precision: 0.8665, predictive_accuracy: 0.8661, prior_entropy: 0.9886, recall: 0.8661, relative_absolute_error: 0.3765, root_mean_prior_squared_error: 0.496, root_mean_squared_error: 0.3322, root_relative_squared_error: 0.6696, scimark_benchmark: 1779.392, usercpu_time_millis: 15.6001, usercpu_time_millis_training: 15.6001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8879, f_measure: 0.861, kappa: 0.7165, kb_relative_information_score: 329.3827, mean_absolute_error: 0.1835, mean_prior_absolute_error: 0.4921, number_of_instances: 508, precision: 0.8639, predictive_accuracy: 0.8622, prior_entropy: 0.9886, recall: 0.8622, relative_absolute_error: 0.3728, root_mean_prior_squared_error: 0.496, root_mean_squared_error: 0.3407, root_relative_squared_error: 0.6868, scimark_benchmark: 1732.2066,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8767, f_measure: 0.8617, kappa: 0.7183, kb_relative_information_score: 337.9683, mean_absolute_error: 0.1719, mean_prior_absolute_error: 0.4921, number_of_instances: 508, precision: 0.8622, predictive_accuracy: 0.8622, prior_entropy: 0.9886, recall: 0.8622, relative_absolute_error: 0.3493, root_mean_prior_squared_error: 0.496, root_mean_squared_error: 0.35, root_relative_squared_error: 0.7056, scimark_benchmark: 1732.2066, usercpu_time_millis: 15.6001, usercpu_time_millis_testing: 15.6001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8565, f_measure: 0.8604, kappa: 0.7167, kb_relative_information_score: 322.9511, mean_absolute_error: 0.1913, mean_prior_absolute_error: 0.4921, number_of_instances: 508, precision: 0.8607, predictive_accuracy: 0.8602, prior_entropy: 0.9886, recall: 0.8602, relative_absolute_error: 0.3888, root_mean_prior_squared_error: 0.496, root_mean_squared_error: 0.348, root_relative_squared_error: 0.7015, scimark_benchmark: 1838.8826,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8399, f_measure: 0.8664, kappa: 0.7293, kb_relative_information_score: 343.5887, mean_absolute_error: 0.1667, mean_prior_absolute_error: 0.4921, number_of_instances: 508, precision: 0.8674, predictive_accuracy: 0.8661, prior_entropy: 0.9886, recall: 0.8661, relative_absolute_error: 0.3388, root_mean_prior_squared_error: 0.496, root_mean_squared_error: 0.3525, root_relative_squared_error: 0.7106, scimark_benchmark: 1838.8826,

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