OpenML
Supervised Classification on electricity

Supervised Classification on electricity

Task 146012 Supervised Classification electricity 25374 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8957, f_measure: 0.8169, kappa: 0.6238, kb_relative_information_score: 20539.8379, mean_absolute_error: 0.2826, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8176, predictive_accuracy: 0.8181, prior_entropy: 0.9835, recall: 0.8181, relative_absolute_error: 0.5784, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3615, root_relative_squared_error: 0.7314, scimark_benchmark: 1146.4082, usercpu_time_millis: 137.794, usercpu_time_millis_testing: 11.26, usercpu_time_millis_training: 126.534,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9621, f_measure: 0.8947, kappa: 0.7841, kb_relative_information_score: 28827.5599, mean_absolute_error: 0.1926, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8947, predictive_accuracy: 0.8948, prior_entropy: 0.9835, recall: 0.8948, relative_absolute_error: 0.3941, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.2831, root_relative_squared_error: 0.5728, scimark_benchmark: 1731.1379, usercpu_time_millis: 91.267, usercpu_time_millis_testing: 3.087, usercpu_time_millis_training: 88.18,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9131, f_measure: 0.8302, kappa: 0.6512, kb_relative_information_score: 22103.9633, mean_absolute_error: 0.2659, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8307, predictive_accuracy: 0.8311, prior_entropy: 0.9835, recall: 0.8311, relative_absolute_error: 0.5443, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3466, root_relative_squared_error: 0.7013, scimark_benchmark: 1725.3223, usercpu_time_millis: 58.901, usercpu_time_millis_testing: 2.685, usercpu_time_millis_training: 56.216,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7936, f_measure: 0.7486, kappa: 0.484, kb_relative_information_score: 13160.992, mean_absolute_error: 0.3662, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7651, predictive_accuracy: 0.7574, prior_entropy: 0.9835, recall: 0.7574, relative_absolute_error: 0.7496, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4257, root_relative_squared_error: 0.8612, scimark_benchmark: 1730.1287, usercpu_time_millis: 109.401, usercpu_time_millis_testing: 10.638, usercpu_time_millis_training: 98.763,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9605, f_measure: 0.8922, kappa: 0.779, kb_relative_information_score: 28552.6052, mean_absolute_error: 0.1954, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8922, predictive_accuracy: 0.8924, prior_entropy: 0.9835, recall: 0.8924, relative_absolute_error: 0.4, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.2861, root_relative_squared_error: 0.5788, scimark_benchmark: 1733.7613, usercpu_time_millis: 98.445, usercpu_time_millis_testing: 2.815, usercpu_time_millis_training: 95.63,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8585, f_measure: 0.7597, kappa: 0.5066, kb_relative_information_score: 14835.8204, mean_absolute_error: 0.3475, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7765, predictive_accuracy: 0.7679, prior_entropy: 0.9835, recall: 0.7679, relative_absolute_error: 0.7112, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.398, root_relative_squared_error: 0.8051, scimark_benchmark: 1733.7613, usercpu_time_millis: 41.124, usercpu_time_millis_testing: 3.321, usercpu_time_millis_training: 37.803,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8571, f_measure: 0.7688, kappa: 0.5243, kb_relative_information_score: 17275.8624, mean_absolute_error: 0.3177, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7786, predictive_accuracy: 0.7745, prior_entropy: 0.9835, recall: 0.7745, relative_absolute_error: 0.6501, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3905, root_relative_squared_error: 0.7901, scimark_benchmark: 1736.9559, usercpu_time_millis: 46.198, usercpu_time_millis_testing: 2.903, usercpu_time_millis_training: 43.295,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9363, f_measure: 0.8558, kappa: 0.7043, kb_relative_information_score: 25474.0631, mean_absolute_error: 0.228, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8558, predictive_accuracy: 0.8562, prior_entropy: 0.9835, recall: 0.8562, relative_absolute_error: 0.4666, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3197, root_relative_squared_error: 0.6468, scimark_benchmark: 1737.9267, usercpu_time_millis: 19.922, usercpu_time_millis_testing: 0.716, usercpu_time_millis_training: 19.206,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.79, f_measure: 0.7517, kappa: 0.491, kb_relative_information_score: 8248.8887, mean_absolute_error: 0.4176, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.773, predictive_accuracy: 0.7617, prior_entropy: 0.9835, recall: 0.7617, relative_absolute_error: 0.8546, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4372, root_relative_squared_error: 0.8846, scimark_benchmark: 1718.2275, usercpu_time_millis: 19.905, usercpu_time_millis_testing: 1.021, usercpu_time_millis_training: 18.884,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9336, f_measure: 0.8518, kappa: 0.6958, kb_relative_information_score: 24534.0236, mean_absolute_error: 0.2395, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8519, predictive_accuracy: 0.8523, prior_entropy: 0.9835, recall: 0.8523, relative_absolute_error: 0.4901, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3246, root_relative_squared_error: 0.6568, scimark_benchmark: 1736.1564, usercpu_time_millis: 17.812, usercpu_time_millis_testing: 0.865, usercpu_time_millis_training: 16.947,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.4204, kb_relative_information_score: -6.2978, mean_absolute_error: 0.4887, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.3311, predictive_accuracy: 0.5755, prior_entropy: 0.9835, recall: 0.5755, relative_absolute_error: 1.0001, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4943, root_relative_squared_error: 1, scimark_benchmark: 1712.9873, usercpu_time_millis: 3.344, usercpu_time_millis_testing: 0.326, usercpu_time_millis_training: 3.018,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8444, f_measure: 0.7554, kappa: 0.4977, kb_relative_information_score: 13957.724, mean_absolute_error: 0.3567, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7713, predictive_accuracy: 0.7636, prior_entropy: 0.9835, recall: 0.7636, relative_absolute_error: 0.7301, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.406, root_relative_squared_error: 0.8215, scimark_benchmark: 1732.5611, usercpu_time_millis: 128.75, usercpu_time_millis_testing: 12.447, usercpu_time_millis_training: 116.303,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8577, f_measure: 0.7699, kappa: 0.5265, kb_relative_information_score: 17360.3794, mean_absolute_error: 0.3167, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7792, predictive_accuracy: 0.7754, prior_entropy: 0.9835, recall: 0.7754, relative_absolute_error: 0.6482, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.39, root_relative_squared_error: 0.7891, scimark_benchmark: 1727.5545, usercpu_time_millis: 112.228, usercpu_time_millis_testing: 10.364, usercpu_time_millis_training: 101.864,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9666, f_measure: 0.9015, kappa: 0.7982, kb_relative_information_score: 29697.4861, mean_absolute_error: 0.183, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.9015, predictive_accuracy: 0.9016, prior_entropy: 0.9835, recall: 0.9016, relative_absolute_error: 0.3746, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.2742, root_relative_squared_error: 0.5547, scimark_benchmark: 1730.1287, usercpu_time_millis: 86.134, usercpu_time_millis_testing: 3.775, usercpu_time_millis_training: 82.359,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7987, f_measure: 0.7486, kappa: 0.484, kb_relative_information_score: 14216.4492, mean_absolute_error: 0.3519, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7651, predictive_accuracy: 0.7574, prior_entropy: 0.9835, recall: 0.7574, relative_absolute_error: 0.7201, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4175, root_relative_squared_error: 0.8447, scimark_benchmark: 1049.2488, usercpu_time_millis: 131.208, usercpu_time_millis_testing: 9.184, usercpu_time_millis_training: 122.024,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8627, f_measure: 0.7631, kappa: 0.5135, kb_relative_information_score: 15345.584, mean_absolute_error: 0.3417, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7792, predictive_accuracy: 0.771, prior_entropy: 0.9835, recall: 0.771, relative_absolute_error: 0.6994, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3945, root_relative_squared_error: 0.7981, scimark_benchmark: 1733.81, usercpu_time_millis: 124.639, usercpu_time_millis_testing: 11.967, usercpu_time_millis_training: 112.672,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.846, f_measure: 0.7542, kappa: 0.495, kb_relative_information_score: 15824.1203, mean_absolute_error: 0.334, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7687, predictive_accuracy: 0.7621, prior_entropy: 0.9835, recall: 0.7621, relative_absolute_error: 0.6835, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4015, root_relative_squared_error: 0.8122, scimark_benchmark: 1046.9761, usercpu_time_millis: 94.649, usercpu_time_millis_testing: 5.099, usercpu_time_millis_training: 89.55,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8526, f_measure: 0.7557, kappa: 0.4981, kb_relative_information_score: 15412.0152, mean_absolute_error: 0.34, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7702, predictive_accuracy: 0.7635, prior_entropy: 0.9835, recall: 0.7635, relative_absolute_error: 0.6959, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3994, root_relative_squared_error: 0.808, scimark_benchmark: 1012.3391, usercpu_time_millis: 53.045, usercpu_time_millis_testing: 5.009, usercpu_time_millis_training: 48.036,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7285, f_measure: 0.7486, kappa: 0.484, kb_relative_information_score: 13195.7414, mean_absolute_error: 0.3659, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7651, predictive_accuracy: 0.7574, prior_entropy: 0.9835, recall: 0.7574, relative_absolute_error: 0.7488, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4277, root_relative_squared_error: 0.8653, scimark_benchmark: 1722.9993, usercpu_time_millis: 41.018, usercpu_time_millis_testing: 4.498, usercpu_time_millis_training: 36.52,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.4204, kb_relative_information_score: 0.5189, mean_absolute_error: 0.4886, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.3311, predictive_accuracy: 0.5755, prior_entropy: 0.9835, recall: 0.5755, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4943, root_relative_squared_error: 1, scimark_benchmark: 1723.4592, usercpu_time_millis: 30.631, usercpu_time_millis_testing: 5.477, usercpu_time_millis_training: 25.154,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.776, f_measure: 0.7486, kappa: 0.484, kb_relative_information_score: 14187.8337, mean_absolute_error: 0.3519, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7651, predictive_accuracy: 0.7574, prior_entropy: 0.9835, recall: 0.7574, relative_absolute_error: 0.7201, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4192, root_relative_squared_error: 0.8482, scimark_benchmark: 1085.2515, usercpu_time_millis: 17.051, usercpu_time_millis_testing: 0.914, usercpu_time_millis_training: 16.137,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9377, f_measure: 0.8608, kappa: 0.7146, kb_relative_information_score: 25773.0682, mean_absolute_error: 0.2249, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8608, predictive_accuracy: 0.8611, prior_entropy: 0.9835, recall: 0.8611, relative_absolute_error: 0.4603, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3174, root_relative_squared_error: 0.6421, scimark_benchmark: 1721.7423, usercpu_time_millis: 8.88, usercpu_time_millis_testing: 0.434, usercpu_time_millis_training: 8.446,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.4204, kb_relative_information_score: -0.1039, mean_absolute_error: 0.4886, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.3311, predictive_accuracy: 0.5755, prior_entropy: 0.9835, recall: 0.5755, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4943, root_relative_squared_error: 1, scimark_benchmark: 1033.7367, usercpu_time_millis: 25.499, usercpu_time_millis_testing: 4.637, usercpu_time_millis_training: 20.862,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8955, f_measure: 0.8151, kappa: 0.6195, kb_relative_information_score: 18294.1965, mean_absolute_error: 0.3108, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8179, predictive_accuracy: 0.8172, prior_entropy: 0.9835, recall: 0.8172, relative_absolute_error: 0.6361, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3685, root_relative_squared_error: 0.7456, scimark_benchmark: 1720.4927, usercpu_time_millis: 3.282, usercpu_time_millis_testing: 0.19, usercpu_time_millis_training: 3.092,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7901, f_measure: 0.7513, kappa: 0.4904, kb_relative_information_score: 8391.6656, mean_absolute_error: 0.4163, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7729, predictive_accuracy: 0.7614, prior_entropy: 0.9835, recall: 0.7614, relative_absolute_error: 0.8519, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4363, root_relative_squared_error: 0.8826, scimark_benchmark: 1704.1693, usercpu_time_millis: 17.702, usercpu_time_millis_testing: 1.431, usercpu_time_millis_training: 16.271,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9018, f_measure: 0.8178, kappa: 0.6261, kb_relative_information_score: 22040.2253, mean_absolute_error: 0.2642, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8177, predictive_accuracy: 0.8183, prior_entropy: 0.9835, recall: 0.8183, relative_absolute_error: 0.5408, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3549, root_relative_squared_error: 0.7181, scimark_benchmark: 1723.5031, usercpu_time_millis: 278.361, usercpu_time_millis_testing: 8.632, usercpu_time_millis_training: 269.729,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8631, f_measure: 0.7922, kappa: 0.5735, kb_relative_information_score: 18346.7614, mean_absolute_error: 0.3062, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7922, predictive_accuracy: 0.793, prior_entropy: 0.9835, recall: 0.793, relative_absolute_error: 0.6266, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.384, root_relative_squared_error: 0.7768, scimark_benchmark: 1721.9633, usercpu_time_millis: 220.619, usercpu_time_millis_testing: 16.846, usercpu_time_millis_training: 203.773,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.866, f_measure: 0.7918, kappa: 0.5729, kb_relative_information_score: 18575.6977, mean_absolute_error: 0.3031, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7917, predictive_accuracy: 0.7925, prior_entropy: 0.9835, recall: 0.7925, relative_absolute_error: 0.6204, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3822, root_relative_squared_error: 0.7733, scimark_benchmark: 1729.3292, usercpu_time_millis: 159.196, usercpu_time_millis_testing: 12.964, usercpu_time_millis_training: 146.232,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9368, f_measure: 0.8557, kappa: 0.7041, kb_relative_information_score: 25463.4314, mean_absolute_error: 0.228, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8558, predictive_accuracy: 0.8561, prior_entropy: 0.9835, recall: 0.8561, relative_absolute_error: 0.4667, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3195, root_relative_squared_error: 0.6465, scimark_benchmark: 1706.9188, usercpu_time_millis: 134.58, usercpu_time_millis_testing: 2.884, usercpu_time_millis_training: 131.696,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8645, f_measure: 0.7666, kappa: 0.5204, kb_relative_information_score: 16408.7911, mean_absolute_error: 0.3292, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7807, predictive_accuracy: 0.7737, prior_entropy: 0.9835, recall: 0.7737, relative_absolute_error: 0.6737, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3903, root_relative_squared_error: 0.7897, scimark_benchmark: 1686.3648, usercpu_time_millis: 61.243, usercpu_time_millis_testing: 1.786, usercpu_time_millis_training: 59.457,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9331, f_measure: 0.8503, kappa: 0.6928, kb_relative_information_score: 24875.9351, mean_absolute_error: 0.2346, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8503, predictive_accuracy: 0.8507, prior_entropy: 0.9835, recall: 0.8507, relative_absolute_error: 0.4802, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3243, root_relative_squared_error: 0.6561, scimark_benchmark: 1733.299, usercpu_time_millis: 52.792, usercpu_time_millis_testing: 1.613, usercpu_time_millis_training: 51.179,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.4204, kb_relative_information_score: 1.7241, mean_absolute_error: 0.4886, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.3311, predictive_accuracy: 0.5755, prior_entropy: 0.9835, recall: 0.5755, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4943, root_relative_squared_error: 1, scimark_benchmark: 1731.2822, usercpu_time_millis: 15.088, usercpu_time_millis_testing: 1.958, usercpu_time_millis_training: 13.13,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7896, f_measure: 0.7485, kappa: 0.4837, kb_relative_information_score: 11447.2379, mean_absolute_error: 0.3852, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.765, predictive_accuracy: 0.7573, prior_entropy: 0.9835, recall: 0.7573, relative_absolute_error: 0.7884, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4268, root_relative_squared_error: 0.8634, scimark_benchmark: 1682.3624, usercpu_time_millis: 11.117, usercpu_time_millis_testing: 0.759, usercpu_time_millis_training: 10.358,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8931, f_measure: 0.81, kappa: 0.609, kb_relative_information_score: 17536.2236, mean_absolute_error: 0.3196, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8144, predictive_accuracy: 0.8127, prior_entropy: 0.9835, recall: 0.8127, relative_absolute_error: 0.6541, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3728, root_relative_squared_error: 0.7543, scimark_benchmark: 1837.586, usercpu_time_millis: 330.414, usercpu_time_millis_testing: 25.523, usercpu_time_millis_training: 304.891,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9123, f_measure: 0.8294, kappa: 0.6499, kb_relative_information_score: 23129.7592, mean_absolute_error: 0.2521, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8294, predictive_accuracy: 0.83, prior_entropy: 0.9835, recall: 0.83, relative_absolute_error: 0.516, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3451, root_relative_squared_error: 0.6983, scimark_benchmark: 1850.2875, usercpu_time_millis: 252.628, usercpu_time_millis_testing: 8.076, usercpu_time_millis_training: 244.552,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9227, f_measure: 0.8398, kappa: 0.6714, kb_relative_information_score: 23641.7329, mean_absolute_error: 0.2481, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8398, predictive_accuracy: 0.8403, prior_entropy: 0.9835, recall: 0.8403, relative_absolute_error: 0.5077, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.336, root_relative_squared_error: 0.6797, scimark_benchmark: 1855.4813, usercpu_time_millis: 240.323, usercpu_time_millis_testing: 8.798, usercpu_time_millis_training: 231.525,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9511, f_measure: 0.8788, kappa: 0.7516, kb_relative_information_score: 27320.7945, mean_absolute_error: 0.2083, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8788, predictive_accuracy: 0.879, prior_entropy: 0.9835, recall: 0.879, relative_absolute_error: 0.4263, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3005, root_relative_squared_error: 0.6079, scimark_benchmark: 2101.9355, usercpu_time_millis: 229.746, usercpu_time_millis_testing: 8.387, usercpu_time_millis_training: 221.359,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8661, f_measure: 0.7964, kappa: 0.583, kb_relative_information_score: 19090.4945, mean_absolute_error: 0.2978, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7963, predictive_accuracy: 0.7966, prior_entropy: 0.9835, recall: 0.7966, relative_absolute_error: 0.6095, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3802, root_relative_squared_error: 0.7692, scimark_benchmark: 1850.8185, usercpu_time_millis: 153.158, usercpu_time_millis_testing: 8.389, usercpu_time_millis_training: 144.769,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8807, f_measure: 0.8039, kappa: 0.5974, kb_relative_information_score: 19358.3157, mean_absolute_error: 0.2952, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8041, predictive_accuracy: 0.8048, prior_entropy: 0.9835, recall: 0.8048, relative_absolute_error: 0.6042, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3729, root_relative_squared_error: 0.7543, scimark_benchmark: 1724.7927, usercpu_time_millis: 141.077, usercpu_time_millis_testing: 4.962, usercpu_time_millis_training: 136.115,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8663, f_measure: 0.7908, kappa: 0.5696, kb_relative_information_score: 18066.8351, mean_absolute_error: 0.3097, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7924, predictive_accuracy: 0.7928, prior_entropy: 0.9835, recall: 0.7928, relative_absolute_error: 0.6337, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3833, root_relative_squared_error: 0.7754, scimark_benchmark: 1837.1955, usercpu_time_millis: 118.079, usercpu_time_millis_testing: 8.185, usercpu_time_millis_training: 109.894,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7963, f_measure: 0.7492, kappa: 0.4853, kb_relative_information_score: 10965.9332, mean_absolute_error: 0.3902, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7664, predictive_accuracy: 0.7582, prior_entropy: 0.9835, recall: 0.7582, relative_absolute_error: 0.7987, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4235, root_relative_squared_error: 0.8567, scimark_benchmark: 1850.2875, usercpu_time_millis: 91.117, usercpu_time_millis_testing: 10.408, usercpu_time_millis_training: 80.709,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8626, f_measure: 0.7643, kappa: 0.5158, kb_relative_information_score: 16567.4794, mean_absolute_error: 0.327, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7792, predictive_accuracy: 0.7718, prior_entropy: 0.9835, recall: 0.7718, relative_absolute_error: 0.6693, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.391, root_relative_squared_error: 0.791, scimark_benchmark: 1849.3014, usercpu_time_millis: 79.87, usercpu_time_millis_testing: 6.372, usercpu_time_millis_training: 73.498,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.842, f_measure: 0.7581, kappa: 0.5039, kb_relative_information_score: 11426.2609, mean_absolute_error: 0.3853, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7781, predictive_accuracy: 0.7673, prior_entropy: 0.9835, recall: 0.7673, relative_absolute_error: 0.7885, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4153, root_relative_squared_error: 0.8403, scimark_benchmark: 1726.2552, usercpu_time_millis: 89.524, usercpu_time_millis_testing: 7.809, usercpu_time_millis_training: 81.715,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9379, f_measure: 0.8587, kappa: 0.7103, kb_relative_information_score: 25725.285, mean_absolute_error: 0.2251, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8588, predictive_accuracy: 0.8591, prior_entropy: 0.9835, recall: 0.8591, relative_absolute_error: 0.4606, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3177, root_relative_squared_error: 0.6428, scimark_benchmark: 1850.2875, usercpu_time_millis: 5.231, usercpu_time_millis_testing: 0.205, usercpu_time_millis_training: 5.026,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8699, f_measure: 0.7984, kappa: 0.5869, kb_relative_information_score: 19278.0091, mean_absolute_error: 0.2959, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7982, predictive_accuracy: 0.7986, prior_entropy: 0.9835, recall: 0.7986, relative_absolute_error: 0.6055, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3784, root_relative_squared_error: 0.7657, scimark_benchmark: 1687.1642, usercpu_time_millis: 543.89, usercpu_time_millis_testing: 21.857, usercpu_time_millis_training: 522.033,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8619, f_measure: 0.7615, kappa: 0.5103, kb_relative_information_score: 15946.5625, mean_absolute_error: 0.3344, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.778, predictive_accuracy: 0.7696, prior_entropy: 0.9835, recall: 0.7696, relative_absolute_error: 0.6844, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3934, root_relative_squared_error: 0.7959, scimark_benchmark: 1844.8764, usercpu_time_millis: 103.936, usercpu_time_millis_testing: 11.601, usercpu_time_millis_training: 92.335,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9552, f_measure: 0.8855, kappa: 0.7655, kb_relative_information_score: 27969.1739, mean_absolute_error: 0.2017, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8855, predictive_accuracy: 0.8857, prior_entropy: 0.9835, recall: 0.8857, relative_absolute_error: 0.4128, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.2935, root_relative_squared_error: 0.5938, scimark_benchmark: 2116.1353, usercpu_time_millis: 72.551, usercpu_time_millis_testing: 3.118, usercpu_time_millis_training: 69.433,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8945, f_measure: 0.8158, kappa: 0.6223, kb_relative_information_score: 21275.6153, mean_absolute_error: 0.2731, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8157, predictive_accuracy: 0.8162, prior_entropy: 0.9835, recall: 0.8162, relative_absolute_error: 0.559, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3609, root_relative_squared_error: 0.7303, scimark_benchmark: 1850.2875, usercpu_time_millis: 49.142, usercpu_time_millis_testing: 1.968, usercpu_time_millis_training: 47.174,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8673, f_measure: 0.7894, kappa: 0.5667, kb_relative_information_score: 17996.2256, mean_absolute_error: 0.3104, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7917, predictive_accuracy: 0.7918, prior_entropy: 0.9835, recall: 0.7918, relative_absolute_error: 0.6352, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3829, root_relative_squared_error: 0.7747, scimark_benchmark: 1734.479, usercpu_time_millis: 34.15, usercpu_time_millis_testing: 1.129, usercpu_time_millis_training: 33.021,
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable). Evaluation Engine Exception: Run description file not present.
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.4204, kb_relative_information_score: -0.5739, mean_absolute_error: 0.4886, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.3311, predictive_accuracy: 0.5755, prior_entropy: 0.9835, recall: 0.5755, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4943, root_relative_squared_error: 1, scimark_benchmark: 1756.3656, usercpu_time_millis: 21.242, usercpu_time_millis_testing: 1.309, usercpu_time_millis_training: 19.933,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8966, f_measure: 0.8164, kappa: 0.6233, kb_relative_information_score: 21043.9545, mean_absolute_error: 0.2765, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8165, predictive_accuracy: 0.8171, prior_entropy: 0.9835, recall: 0.8171, relative_absolute_error: 0.5659, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3599, root_relative_squared_error: 0.7281, scimark_benchmark: 1751.972, usercpu_time_millis: 456.557, usercpu_time_millis_testing: 21.4, usercpu_time_millis_training: 435.157,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8881, f_measure: 0.8102, kappa: 0.6109, kb_relative_information_score: 20768.0579, mean_absolute_error: 0.2789, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.81, predictive_accuracy: 0.8106, prior_entropy: 0.9835, recall: 0.8106, relative_absolute_error: 0.5708, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3656, root_relative_squared_error: 0.7397, scimark_benchmark: 1854.4951, usercpu_time_millis: 301.309, usercpu_time_millis_testing: 14.672, usercpu_time_millis_training: 286.637,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9693, f_measure: 0.913, kappa: 0.8219, kb_relative_information_score: 34590.0246, mean_absolute_error: 0.1213, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.913, predictive_accuracy: 0.913, prior_entropy: 0.9835, recall: 0.913, relative_absolute_error: 0.2483, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.2541, root_relative_squared_error: 0.5141, scimark_benchmark: 1853.9121, usercpu_time_millis: 151.126, usercpu_time_millis_testing: 2.597, usercpu_time_millis_training: 148.529,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8242, f_measure: 0.7489, kappa: 0.4847, kb_relative_information_score: 14194.1421, mean_absolute_error: 0.3525, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7661, predictive_accuracy: 0.7579, prior_entropy: 0.9835, recall: 0.7579, relative_absolute_error: 0.7214, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4148, root_relative_squared_error: 0.8392, scimark_benchmark: 1751.5088, usercpu_time_millis: 80.013, usercpu_time_millis_testing: 8.929, usercpu_time_millis_training: 71.084,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8747, f_measure: 0.7933, kappa: 0.5746, kb_relative_information_score: 18526.9195, mean_absolute_error: 0.3046, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7971, predictive_accuracy: 0.7962, prior_entropy: 0.9835, recall: 0.7962, relative_absolute_error: 0.6234, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3783, root_relative_squared_error: 0.7654, scimark_benchmark: 1847.3482, usercpu_time_millis: 88.337, usercpu_time_millis_testing: 6.371, usercpu_time_millis_training: 81.966,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9141, f_measure: 0.8307, kappa: 0.6524, kb_relative_information_score: 22508.0197, mean_absolute_error: 0.2609, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8309, predictive_accuracy: 0.8314, prior_entropy: 0.9835, recall: 0.8314, relative_absolute_error: 0.534, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3449, root_relative_squared_error: 0.6978, scimark_benchmark: 1727.881, usercpu_time_millis: 71.977, usercpu_time_millis_testing: 2.299, usercpu_time_millis_training: 69.678,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8956, f_measure: 0.8131, kappa: 0.6153, kb_relative_information_score: 17790.3033, mean_absolute_error: 0.3169, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8168, predictive_accuracy: 0.8155, prior_entropy: 0.9835, recall: 0.8155, relative_absolute_error: 0.6486, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3707, root_relative_squared_error: 0.7501, scimark_benchmark: 1847.8791, usercpu_time_millis: 72.008, usercpu_time_millis_testing: 5.21, usercpu_time_millis_training: 66.798,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9258, f_measure: 0.8451, kappa: 0.6818, kb_relative_information_score: 21266.8834, mean_absolute_error: 0.2799, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8459, predictive_accuracy: 0.846, prior_entropy: 0.9835, recall: 0.846, relative_absolute_error: 0.5728, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3416, root_relative_squared_error: 0.691, scimark_benchmark: 1750.6388, usercpu_time_millis: 24.38, usercpu_time_millis_testing: 1.313, usercpu_time_millis_training: 23.067,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8415, f_measure: 0.7506, kappa: 0.4879, kb_relative_information_score: 15247.3275, mean_absolute_error: 0.3399, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7667, predictive_accuracy: 0.7592, prior_entropy: 0.9835, recall: 0.7592, relative_absolute_error: 0.6957, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4063, root_relative_squared_error: 0.822, scimark_benchmark: 2118.2952, usercpu_time_millis: 8.018, usercpu_time_millis_testing: 0.588, usercpu_time_millis_training: 7.43,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9015, f_measure: 0.8203, kappa: 0.6316, kb_relative_information_score: 21839.7278, mean_absolute_error: 0.267, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8202, predictive_accuracy: 0.8208, prior_entropy: 0.9835, recall: 0.8208, relative_absolute_error: 0.5465, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3552, root_relative_squared_error: 0.7186, scimark_benchmark: 1729.9081, usercpu_time_millis: 132.841, usercpu_time_millis_testing: 7.78, usercpu_time_millis_training: 125.061,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.886, f_measure: 0.8064, kappa: 0.6016, kb_relative_information_score: 19123.088, mean_absolute_error: 0.2987, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8092, predictive_accuracy: 0.8086, prior_entropy: 0.9835, recall: 0.8086, relative_absolute_error: 0.6113, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.371, root_relative_squared_error: 0.7505, scimark_benchmark: 1839.7911, usercpu_time_millis: 28.476, usercpu_time_millis_testing: 1.219, usercpu_time_millis_training: 27.257,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8764, f_measure: 0.7961, kappa: 0.5803, kb_relative_information_score: 18439.5868, mean_absolute_error: 0.3058, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8009, predictive_accuracy: 0.7993, prior_entropy: 0.9835, recall: 0.7993, relative_absolute_error: 0.6258, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.378, root_relative_squared_error: 0.7647, scimark_benchmark: 1833.265, usercpu_time_millis: 248.528, usercpu_time_millis_testing: 17.224, usercpu_time_millis_training: 231.304,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9382, f_measure: 0.8601, kappa: 0.7131, kb_relative_information_score: 25912.8375, mean_absolute_error: 0.2227, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8601, predictive_accuracy: 0.8604, prior_entropy: 0.9835, recall: 0.8604, relative_absolute_error: 0.4558, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3171, root_relative_squared_error: 0.6415, scimark_benchmark: 2024.603, usercpu_time_millis: 165.945, usercpu_time_millis_testing: 5.168, usercpu_time_millis_training: 160.777,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9368, f_measure: 0.8548, kappa: 0.7019, kb_relative_information_score: 24395.7681, mean_absolute_error: 0.2422, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.855, predictive_accuracy: 0.8553, prior_entropy: 0.9835, recall: 0.8553, relative_absolute_error: 0.4957, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3224, root_relative_squared_error: 0.6523, scimark_benchmark: 1999.9189, usercpu_time_millis: 60.069, usercpu_time_millis_testing: 3.414, usercpu_time_millis_training: 56.655,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7959, f_measure: 0.7486, kappa: 0.484, kb_relative_information_score: 10547.8638, mean_absolute_error: 0.3948, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7651, predictive_accuracy: 0.7574, prior_entropy: 0.9835, recall: 0.7574, relative_absolute_error: 0.8079, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4283, root_relative_squared_error: 0.8665, scimark_benchmark: 2001.7317, usercpu_time_millis: 22.268, usercpu_time_millis_testing: 2.462, usercpu_time_millis_training: 19.806,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8667, f_measure: 0.7905, kappa: 0.5697, kb_relative_information_score: 18280.7284, mean_absolute_error: 0.3069, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7908, predictive_accuracy: 0.7917, prior_entropy: 0.9835, recall: 0.7917, relative_absolute_error: 0.6282, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3823, root_relative_squared_error: 0.7734, scimark_benchmark: 1849.9303, usercpu_time_millis: 120.068, usercpu_time_millis_testing: 6.037, usercpu_time_millis_training: 114.031,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8405, f_measure: 0.7504, kappa: 0.4875, kb_relative_information_score: 15162.6016, mean_absolute_error: 0.3408, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7666, predictive_accuracy: 0.759, prior_entropy: 0.9835, recall: 0.759, relative_absolute_error: 0.6975, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.407, root_relative_squared_error: 0.8234, scimark_benchmark: 1756.6086, usercpu_time_millis: 71.439, usercpu_time_millis_testing: 6.285, usercpu_time_millis_training: 65.154,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.824, f_measure: 0.7492, kappa: 0.4852, kb_relative_information_score: 14057.6506, mean_absolute_error: 0.3545, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7658, predictive_accuracy: 0.758, prior_entropy: 0.9835, recall: 0.758, relative_absolute_error: 0.7254, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4137, root_relative_squared_error: 0.8371, scimark_benchmark: 1832.754, usercpu_time_millis: 11.669, usercpu_time_millis_testing: 0.544, usercpu_time_millis_training: 11.125,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.4204, kb_relative_information_score: -0.3962, mean_absolute_error: 0.4886, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.3311, predictive_accuracy: 0.5755, prior_entropy: 0.9835, recall: 0.5755, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4943, root_relative_squared_error: 1, scimark_benchmark: 1738.3232, usercpu_time_millis: 35.356, usercpu_time_millis_testing: 1.379, usercpu_time_millis_training: 33.977,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9242, f_measure: 0.8419, kappa: 0.6759, kb_relative_information_score: 24358.5404, mean_absolute_error: 0.239, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8418, predictive_accuracy: 0.8422, prior_entropy: 0.9835, recall: 0.8422, relative_absolute_error: 0.4892, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3332, root_relative_squared_error: 0.6741, scimark_benchmark: 1724.6521, usercpu_time_millis: 118.62, usercpu_time_millis_testing: 2.922, usercpu_time_millis_training: 115.698,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.839, f_measure: 0.7572, kappa: 0.502, kb_relative_information_score: 11115.9278, mean_absolute_error: 0.3886, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7775, predictive_accuracy: 0.7666, prior_entropy: 0.9835, recall: 0.7666, relative_absolute_error: 0.7952, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4174, root_relative_squared_error: 0.8445, scimark_benchmark: 2115.4417, usercpu_time_millis: 45.146, usercpu_time_millis_testing: 5.403, usercpu_time_millis_training: 39.743,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8842, f_measure: 0.8082, kappa: 0.6055, kb_relative_information_score: 19301.3783, mean_absolute_error: 0.2962, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8097, predictive_accuracy: 0.8098, prior_entropy: 0.9835, recall: 0.8098, relative_absolute_error: 0.6061, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3714, root_relative_squared_error: 0.7514, scimark_benchmark: 1812.8084, usercpu_time_millis: 30.631, usercpu_time_millis_testing: 1.308, usercpu_time_millis_training: 29.323,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9565, f_measure: 0.8845, kappa: 0.7632, kb_relative_information_score: 27772.8802, mean_absolute_error: 0.2048, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8846, predictive_accuracy: 0.8848, prior_entropy: 0.9835, recall: 0.8848, relative_absolute_error: 0.4192, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.2925, root_relative_squared_error: 0.5918, scimark_benchmark: 1715.6911, usercpu_time_millis: 15.5, usercpu_time_millis_testing: 0.579, usercpu_time_millis_training: 14.921,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7656, f_measure: 0.7048, kappa: 0.3949, kb_relative_information_score: 11518.8888, mean_absolute_error: 0.3768, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7213, predictive_accuracy: 0.7165, prior_entropy: 0.9835, recall: 0.7165, relative_absolute_error: 0.7711, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4352, root_relative_squared_error: 0.8804, scimark_benchmark: 1766.6612, usercpu_time_millis: 1.132, usercpu_time_millis_testing: 0.237, usercpu_time_millis_training: 0.895,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8521, f_measure: 0.7706, kappa: 0.5278, kb_relative_information_score: 17361.6645, mean_absolute_error: 0.3159, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7779, predictive_accuracy: 0.7754, prior_entropy: 0.9835, recall: 0.7754, relative_absolute_error: 0.6465, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3925, root_relative_squared_error: 0.794, scimark_benchmark: 1794.7629, usercpu_time_millis: 193.195, usercpu_time_millis_testing: 14.023, usercpu_time_millis_training: 179.172,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.869, f_measure: 0.7899, kappa: 0.5678, kb_relative_information_score: 18095.0912, mean_absolute_error: 0.3093, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7915, predictive_accuracy: 0.7919, prior_entropy: 0.9835, recall: 0.7919, relative_absolute_error: 0.6331, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3819, root_relative_squared_error: 0.7727, scimark_benchmark: 1801.6523, usercpu_time_millis: 126.392, usercpu_time_millis_testing: 5.734, usercpu_time_millis_training: 120.658,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8822, f_measure: 0.8046, kappa: 0.599, kb_relative_information_score: 20095.1604, mean_absolute_error: 0.2866, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8045, predictive_accuracy: 0.8052, prior_entropy: 0.9835, recall: 0.8052, relative_absolute_error: 0.5866, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3702, root_relative_squared_error: 0.7491, scimark_benchmark: 1803.0148, usercpu_time_millis: 48.234, usercpu_time_millis_testing: 1.525, usercpu_time_millis_training: 46.709,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9399, f_measure: 0.8603, kappa: 0.7134, kb_relative_information_score: 25544.6308, mean_absolute_error: 0.228, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8604, predictive_accuracy: 0.8607, prior_entropy: 0.9835, recall: 0.8607, relative_absolute_error: 0.4667, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3163, root_relative_squared_error: 0.64, scimark_benchmark: 1803.0148, usercpu_time_millis: 22.546, usercpu_time_millis_testing: 0.995, usercpu_time_millis_training: 21.551,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9252, f_measure: 0.842, kappa: 0.6757, kb_relative_information_score: 23431.801, mean_absolute_error: 0.2514, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8422, predictive_accuracy: 0.8426, prior_entropy: 0.9835, recall: 0.8426, relative_absolute_error: 0.5146, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3346, root_relative_squared_error: 0.6769, scimark_benchmark: 1808.3937, usercpu_time_millis: 381.658, usercpu_time_millis_testing: 20.996, usercpu_time_millis_training: 360.662,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9385, f_measure: 0.8561, kappa: 0.7048, kb_relative_information_score: 25323.6274, mean_absolute_error: 0.2302, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8562, predictive_accuracy: 0.8565, prior_entropy: 0.9835, recall: 0.8565, relative_absolute_error: 0.4712, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3185, root_relative_squared_error: 0.6443, scimark_benchmark: 1801.0759, usercpu_time_millis: 317.316, usercpu_time_millis_testing: 11.622, usercpu_time_millis_training: 305.694,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8984, f_measure: 0.8168, kappa: 0.6231, kb_relative_information_score: 19917.8094, mean_absolute_error: 0.291, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8188, predictive_accuracy: 0.8185, prior_entropy: 0.9835, recall: 0.8185, relative_absolute_error: 0.5956, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3617, root_relative_squared_error: 0.7317, scimark_benchmark: 1738.9782, usercpu_time_millis: 269.476, usercpu_time_millis_testing: 16.718, usercpu_time_millis_training: 252.758,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9108, f_measure: 0.8267, kappa: 0.6439, kb_relative_information_score: 21278.6827, mean_absolute_error: 0.2761, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8279, predictive_accuracy: 0.828, prior_entropy: 0.9835, recall: 0.828, relative_absolute_error: 0.5651, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3504, root_relative_squared_error: 0.7089, scimark_benchmark: 1761.1282, usercpu_time_millis: 215.034, usercpu_time_millis_testing: 16.607, usercpu_time_millis_training: 198.427,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9283, f_measure: 0.8455, kappa: 0.6828, kb_relative_information_score: 23311.8115, mean_absolute_error: 0.254, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8459, predictive_accuracy: 0.8462, prior_entropy: 0.9835, recall: 0.8462, relative_absolute_error: 0.5198, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3324, root_relative_squared_error: 0.6725, scimark_benchmark: 1804.0049, usercpu_time_millis: 133.492, usercpu_time_millis_testing: 6.383, usercpu_time_millis_training: 127.109,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9491, f_measure: 0.8733, kappa: 0.7402, kb_relative_information_score: 26709.3133, mean_absolute_error: 0.2158, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8734, predictive_accuracy: 0.8736, prior_entropy: 0.9835, recall: 0.8736, relative_absolute_error: 0.4417, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3041, root_relative_squared_error: 0.6152, scimark_benchmark: 1806.9062, usercpu_time_millis: 48.235, usercpu_time_millis_testing: 2.601, usercpu_time_millis_training: 45.634,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9427, f_measure: 0.8626, kappa: 0.718, kb_relative_information_score: 25121.9206, mean_absolute_error: 0.2348, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8628, predictive_accuracy: 0.8631, prior_entropy: 0.9835, recall: 0.8631, relative_absolute_error: 0.4805, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3149, root_relative_squared_error: 0.637, scimark_benchmark: 1803.0148, usercpu_time_millis: 40.775, usercpu_time_millis_testing: 2.915, usercpu_time_millis_training: 37.86,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8727, f_measure: 0.7789, kappa: 0.5454, kb_relative_information_score: 16838.0013, mean_absolute_error: 0.3248, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7904, predictive_accuracy: 0.7847, prior_entropy: 0.9835, recall: 0.7847, relative_absolute_error: 0.6648, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3849, root_relative_squared_error: 0.7787, scimark_benchmark: 1743.6833, usercpu_time_millis: 11.632, usercpu_time_millis_testing: 0.588, usercpu_time_millis_training: 11.044,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9271, f_measure: 0.8437, kappa: 0.6792, kb_relative_information_score: 23657.5602, mean_absolute_error: 0.249, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8439, predictive_accuracy: 0.8443, prior_entropy: 0.9835, recall: 0.8443, relative_absolute_error: 0.5096, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3325, root_relative_squared_error: 0.6726, scimark_benchmark: 1771.5336, usercpu_time_millis: 374.726, usercpu_time_millis_testing: 16.965, usercpu_time_millis_training: 357.761,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8945, f_measure: 0.8146, kappa: 0.6199, kb_relative_information_score: 21295.8306, mean_absolute_error: 0.2729, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8145, predictive_accuracy: 0.815, prior_entropy: 0.9835, recall: 0.815, relative_absolute_error: 0.5585, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3609, root_relative_squared_error: 0.7303, scimark_benchmark: 1761.4228, usercpu_time_millis: 237.018, usercpu_time_millis_testing: 10.254, usercpu_time_millis_training: 226.764,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8667, f_measure: 0.7681, kappa: 0.5235, kb_relative_information_score: 15927.7676, mean_absolute_error: 0.3352, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7824, predictive_accuracy: 0.7752, prior_entropy: 0.9835, recall: 0.7752, relative_absolute_error: 0.686, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3908, root_relative_squared_error: 0.7906, scimark_benchmark: 1728.6145, usercpu_time_millis: 199.475, usercpu_time_millis_testing: 16.244, usercpu_time_millis_training: 183.231,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9525, f_measure: 0.8814, kappa: 0.7569, kb_relative_information_score: 27396.6301, mean_absolute_error: 0.2082, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8814, predictive_accuracy: 0.8816, prior_entropy: 0.9835, recall: 0.8816, relative_absolute_error: 0.4261, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.2983, root_relative_squared_error: 0.6035, scimark_benchmark: 1760.5969, usercpu_time_millis: 150.449, usercpu_time_millis_testing: 6.511, usercpu_time_millis_training: 143.938,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9153, f_measure: 0.8315, kappa: 0.6542, kb_relative_information_score: 22852.2561, mean_absolute_error: 0.2566, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8316, predictive_accuracy: 0.8321, prior_entropy: 0.9835, recall: 0.8321, relative_absolute_error: 0.5252, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3434, root_relative_squared_error: 0.6947, scimark_benchmark: 1762.0648, usercpu_time_millis: 115.526, usercpu_time_millis_testing: 3.633, usercpu_time_millis_training: 111.893,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8736, f_measure: 0.779, kappa: 0.5455, kb_relative_information_score: 16826.4557, mean_absolute_error: 0.325, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7904, predictive_accuracy: 0.7848, prior_entropy: 0.9835, recall: 0.7848, relative_absolute_error: 0.6652, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3846, root_relative_squared_error: 0.7782, scimark_benchmark: 1730.6397, usercpu_time_millis: 189.141, usercpu_time_millis_testing: 14.006, usercpu_time_millis_training: 175.135,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.88, f_measure: 0.7918, kappa: 0.5716, kb_relative_information_score: 16000.2321, mean_absolute_error: 0.3361, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8005, predictive_accuracy: 0.7963, prior_entropy: 0.9835, recall: 0.7963, relative_absolute_error: 0.6879, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3844, root_relative_squared_error: 0.7776, scimark_benchmark: 1725.2655, usercpu_time_millis: 150.254, usercpu_time_millis_testing: 11.675, usercpu_time_millis_training: 138.579,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9654, f_measure: 0.9002, kappa: 0.7956, kb_relative_information_score: 29998.813, mean_absolute_error: 0.1788, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.9002, predictive_accuracy: 0.9003, prior_entropy: 0.9835, recall: 0.9003, relative_absolute_error: 0.3659, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.2744, root_relative_squared_error: 0.5551, scimark_benchmark: 1749.8458, usercpu_time_millis: 76.688, usercpu_time_millis_testing: 2.189, usercpu_time_millis_training: 74.499,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.4204, kb_relative_information_score: 0.0493, mean_absolute_error: 0.4886, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.3311, predictive_accuracy: 0.5755, prior_entropy: 0.9835, recall: 0.5755, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4943, root_relative_squared_error: 1, scimark_benchmark: 1721.8447, usercpu_time_millis: 19.926, usercpu_time_millis_testing: 5.313, usercpu_time_millis_training: 14.613,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9389, f_measure: 0.8597, kappa: 0.7123, kb_relative_information_score: 25918.7914, mean_absolute_error: 0.2228, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8597, predictive_accuracy: 0.86, prior_entropy: 0.9835, recall: 0.86, relative_absolute_error: 0.4559, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3164, root_relative_squared_error: 0.6401, scimark_benchmark: 1735.5922, usercpu_time_millis: 431.156, usercpu_time_millis_testing: 11.981, usercpu_time_millis_training: 419.175,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9199, f_measure: 0.8375, kappa: 0.6667, kb_relative_information_score: 23536.3655, mean_absolute_error: 0.2489, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8376, predictive_accuracy: 0.838, prior_entropy: 0.9835, recall: 0.838, relative_absolute_error: 0.5094, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3383, root_relative_squared_error: 0.6844, scimark_benchmark: 1714.7312, usercpu_time_millis: 283.189, usercpu_time_millis_testing: 20.421, usercpu_time_millis_training: 262.768,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.916, f_measure: 0.8326, kappa: 0.6564, kb_relative_information_score: 23038.0519, mean_absolute_error: 0.2546, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8327, predictive_accuracy: 0.8332, prior_entropy: 0.9835, recall: 0.8332, relative_absolute_error: 0.521, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3423, root_relative_squared_error: 0.6925, scimark_benchmark: 1724.8648, usercpu_time_millis: 276.77, usercpu_time_millis_testing: 16.711, usercpu_time_millis_training: 260.059,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9444, f_measure: 0.8689, kappa: 0.7314, kb_relative_information_score: 26866.804, mean_absolute_error: 0.2121, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8689, predictive_accuracy: 0.8691, prior_entropy: 0.9835, recall: 0.8691, relative_absolute_error: 0.4341, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3085, root_relative_squared_error: 0.6242, scimark_benchmark: 1720.9528, usercpu_time_millis: 220.936, usercpu_time_millis_testing: 4.131, usercpu_time_millis_training: 216.805,

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