OpenML
Supervised Classification on ilpd

Supervised Classification on ilpd

Task 145848 Supervised Classification ilpd 29462 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7431, f_measure: 0.6683, kappa: 0.1529, kb_relative_information_score: 64.552, mean_absolute_error: 0.3475, mean_prior_absolute_error: 0.4091, number_of_instances: 583, precision: 0.6606, predictive_accuracy: 0.6947, prior_entropy: 0.8651, recall: 0.6947, relative_absolute_error: 0.8494, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.4184, root_relative_squared_error: 0.9256, scimark_benchmark: 1782.3941, usercpu_time_millis: 2.626, usercpu_time_millis_testing: 0.23, usercpu_time_millis_training: 2.396,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7323, f_measure: 0.6728, kappa: 0.1662, kb_relative_information_score: 60.47, mean_absolute_error: 0.3484, mean_prior_absolute_error: 0.4091, number_of_instances: 583, precision: 0.6653, predictive_accuracy: 0.6964, prior_entropy: 0.8651, recall: 0.6964, relative_absolute_error: 0.8515, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.4237, root_relative_squared_error: 0.9371, scimark_benchmark: 1862.4223, usercpu_time_millis: 1.049, usercpu_time_millis_testing: 0.061, usercpu_time_millis_training: 0.988,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7278, f_measure: 0.6719, kappa: 0.1747, kb_relative_information_score: 68.3496, mean_absolute_error: 0.3402, mean_prior_absolute_error: 0.4091, number_of_instances: 583, precision: 0.6645, predictive_accuracy: 0.6844, prior_entropy: 0.8651, recall: 0.6844, relative_absolute_error: 0.8315, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.4317, root_relative_squared_error: 0.9549, scimark_benchmark: 1780.452, usercpu_time_millis: 10.862, usercpu_time_millis_testing: 0.681, usercpu_time_millis_training: 10.181,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4963, f_measure: 0.5943, kb_relative_information_score: -0.5824, mean_absolute_error: 0.4089, mean_prior_absolute_error: 0.4091, number_of_instances: 583, precision: 0.5092, predictive_accuracy: 0.7136, prior_entropy: 0.8651, recall: 0.7136, relative_absolute_error: 0.9996, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.4521, root_relative_squared_error: 1.0001, scimark_benchmark: 1779.1482, usercpu_time_millis: 0.442, usercpu_time_millis_testing: 0.081, usercpu_time_millis_training: 0.361,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4949, f_measure: 0.5943, kb_relative_information_score: 0.4696, mean_absolute_error: 0.4087, mean_prior_absolute_error: 0.4091, number_of_instances: 583, precision: 0.5092, predictive_accuracy: 0.7136, prior_entropy: 0.8651, recall: 0.7136, relative_absolute_error: 0.9991, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.4521, root_relative_squared_error: 1, scimark_benchmark: 1775.9688, usercpu_time_millis: 0.233, usercpu_time_millis_testing: 0.05, usercpu_time_millis_training: 0.183,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7395, f_measure: 0.6753, kappa: 0.167, kb_relative_information_score: 64.9661, mean_absolute_error: 0.3484, mean_prior_absolute_error: 0.4091, number_of_instances: 583, precision: 0.6732, predictive_accuracy: 0.7101, prior_entropy: 0.8651, recall: 0.7101, relative_absolute_error: 0.8515, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.4187, root_relative_squared_error: 0.9261, scimark_benchmark: 1864.9656, usercpu_time_millis: 0.282, usercpu_time_millis_testing: 0.042, usercpu_time_millis_training: 0.24,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7454, f_measure: 0.6865, kappa: 0.2041, kb_relative_information_score: 69.6829, mean_absolute_error: 0.343, mean_prior_absolute_error: 0.4091, number_of_instances: 583, precision: 0.6798, predictive_accuracy: 0.705, prior_entropy: 0.8651, recall: 0.705, relative_absolute_error: 0.8384, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.4195, root_relative_squared_error: 0.928, scimark_benchmark: 1779.9389, usercpu_time_millis: 9.729, usercpu_time_millis_testing: 0.729, usercpu_time_millis_training: 9,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7314, f_measure: 0.6672, kappa: 0.1495, kb_relative_information_score: 60.1227, mean_absolute_error: 0.3488, mean_prior_absolute_error: 0.4091, number_of_instances: 583, precision: 0.6595, predictive_accuracy: 0.6947, prior_entropy: 0.8651, recall: 0.6947, relative_absolute_error: 0.8525, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.4235, root_relative_squared_error: 0.9367, scimark_benchmark: 1790.3872, usercpu_time_millis: 5.224, usercpu_time_millis_testing: 0.302, usercpu_time_millis_training: 4.922,
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: 0.6402, f_measure: 0.5943, kb_relative_information_score: 11.8557, mean_absolute_error: 0.3828, mean_prior_absolute_error: 0.4091, number_of_instances: 583, precision: 0.5092, predictive_accuracy: 0.7136, prior_entropy: 0.8651, recall: 0.7136, relative_absolute_error: 0.9358, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.439, root_relative_squared_error: 0.971, scimark_benchmark: 1864.5074, usercpu_time_millis: 0.959, usercpu_time_millis_testing: 0.153, usercpu_time_millis_training: 0.806,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.739, f_measure: 0.6756, kappa: 0.1801, kb_relative_information_score: 68.7779, mean_absolute_error: 0.3423, mean_prior_absolute_error: 0.4091, number_of_instances: 583, precision: 0.6679, predictive_accuracy: 0.6913, prior_entropy: 0.8651, recall: 0.6913, relative_absolute_error: 0.8367, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.4232, root_relative_squared_error: 0.9361, scimark_benchmark: 1817.0279, usercpu_time_millis: 6.9, usercpu_time_millis_testing: 0.626, usercpu_time_millis_training: 6.274,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7321, f_measure: 0.6659, kappa: 0.1464, kb_relative_information_score: 59.0752, mean_absolute_error: 0.3495, mean_prior_absolute_error: 0.4091, number_of_instances: 583, precision: 0.6579, predictive_accuracy: 0.693, prior_entropy: 0.8651, recall: 0.693, relative_absolute_error: 0.8542, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.4225, root_relative_squared_error: 0.9345, scimark_benchmark: 1790.2408, usercpu_time_millis: 6.188, usercpu_time_millis_testing: 0.4, usercpu_time_millis_training: 5.788,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7362, f_measure: 0.6676, kappa: 0.1477, kb_relative_information_score: 54.6313, mean_absolute_error: 0.3549, mean_prior_absolute_error: 0.4091, number_of_instances: 583, precision: 0.6625, predictive_accuracy: 0.7015, prior_entropy: 0.8651, recall: 0.7015, relative_absolute_error: 0.8676, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.4196, root_relative_squared_error: 0.9281, scimark_benchmark: 1731.7468, usercpu_time_millis: 4.075, usercpu_time_millis_testing: 0.48, usercpu_time_millis_training: 3.595,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7515, f_measure: 0.6595, kappa: 0.1259, kb_relative_information_score: 59.4174, mean_absolute_error: 0.3537, mean_prior_absolute_error: 0.4091, number_of_instances: 583, precision: 0.6664, predictive_accuracy: 0.7118, prior_entropy: 0.8651, recall: 0.7118, relative_absolute_error: 0.8647, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.4154, root_relative_squared_error: 0.9188, scimark_benchmark: 1753.245, usercpu_time_millis: 4.761, usercpu_time_millis_testing: 0.542, usercpu_time_millis_training: 4.219,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.723, f_measure: 0.6675, kappa: 0.1541, kb_relative_information_score: 58.1514, mean_absolute_error: 0.3485, mean_prior_absolute_error: 0.4091, number_of_instances: 583, precision: 0.659, predictive_accuracy: 0.6895, prior_entropy: 0.8651, recall: 0.6895, relative_absolute_error: 0.852, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.4276, root_relative_squared_error: 0.9457, scimark_benchmark: 1753.8118, usercpu_time_millis: 4.62, usercpu_time_millis_testing: 0.385, usercpu_time_millis_training: 4.235,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.74, f_measure: 0.6789, kappa: 0.1819, kb_relative_information_score: 64.3378, mean_absolute_error: 0.3471, mean_prior_absolute_error: 0.4091, number_of_instances: 583, precision: 0.672, predictive_accuracy: 0.7015, prior_entropy: 0.8651, recall: 0.7015, relative_absolute_error: 0.8483, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.4203, root_relative_squared_error: 0.9297, scimark_benchmark: 1750.8714, usercpu_time_millis: 3.827, usercpu_time_millis_testing: 0.456, usercpu_time_millis_training: 3.371,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7387, f_measure: 0.6255, kappa: 0.0589, kb_relative_information_score: 51.5486, mean_absolute_error: 0.3595, mean_prior_absolute_error: 0.4091, number_of_instances: 583, precision: 0.6841, predictive_accuracy: 0.7187, prior_entropy: 0.8651, recall: 0.7187, relative_absolute_error: 0.8788, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.4188, root_relative_squared_error: 0.9264, scimark_benchmark: 1755.9489, usercpu_time_millis: 1.839, usercpu_time_millis_testing: 0.244, usercpu_time_millis_training: 1.595,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.741, f_measure: 0.6742, kappa: 0.1771, kb_relative_information_score: 75.0639, mean_absolute_error: 0.3384, mean_prior_absolute_error: 0.4091, number_of_instances: 583, precision: 0.6665, predictive_accuracy: 0.6895, prior_entropy: 0.8651, recall: 0.6895, relative_absolute_error: 0.8271, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.4244, root_relative_squared_error: 0.9388, scimark_benchmark: 1753.245, usercpu_time_millis: 1.688, usercpu_time_millis_testing: 0.159, usercpu_time_millis_training: 1.529,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7372, f_measure: 0.6747, kappa: 0.1686, kb_relative_information_score: 60.4639, mean_absolute_error: 0.3494, mean_prior_absolute_error: 0.4091, number_of_instances: 583, precision: 0.6683, predictive_accuracy: 0.7015, prior_entropy: 0.8651, recall: 0.7015, relative_absolute_error: 0.8541, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.4201, root_relative_squared_error: 0.9293, scimark_benchmark: 1817.4401, usercpu_time_millis: 2.744, usercpu_time_millis_testing: 0.239, usercpu_time_millis_training: 2.505,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7289, f_measure: 0.6561, kappa: 0.1202, kb_relative_information_score: 59.5234, mean_absolute_error: 0.3488, mean_prior_absolute_error: 0.4091, number_of_instances: 583, precision: 0.6468, predictive_accuracy: 0.6861, prior_entropy: 0.8651, recall: 0.6861, relative_absolute_error: 0.8527, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.424, root_relative_squared_error: 0.9379, scimark_benchmark: 1871.5019, usercpu_time_millis: 4.364, usercpu_time_millis_testing: 0.384, usercpu_time_millis_training: 3.98,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7411, f_measure: 0.621, kappa: 0.0474, kb_relative_information_score: 48.3412, mean_absolute_error: 0.3629, mean_prior_absolute_error: 0.4091, number_of_instances: 583, precision: 0.666, predictive_accuracy: 0.7153, prior_entropy: 0.8651, recall: 0.7153, relative_absolute_error: 0.8869, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.4191, root_relative_squared_error: 0.927, scimark_benchmark: 1793.2998, usercpu_time_millis: 2.204, usercpu_time_millis_testing: 0.339, usercpu_time_millis_training: 1.865,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7347, f_measure: 0.6715, kappa: 0.1575, kb_relative_information_score: 54.7956, mean_absolute_error: 0.3543, mean_prior_absolute_error: 0.4091, number_of_instances: 583, precision: 0.6673, predictive_accuracy: 0.705, prior_entropy: 0.8651, recall: 0.705, relative_absolute_error: 0.866, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.4203, root_relative_squared_error: 0.9296, scimark_benchmark: 1789.2694, usercpu_time_millis: 2.483, usercpu_time_millis_testing: 0.373, usercpu_time_millis_training: 2.11,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.734, f_measure: 0.6586, kappa: 0.1232, kb_relative_information_score: 56.076, mean_absolute_error: 0.3539, mean_prior_absolute_error: 0.4091, number_of_instances: 583, precision: 0.6536, predictive_accuracy: 0.6981, prior_entropy: 0.8651, recall: 0.6981, relative_absolute_error: 0.865, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.4197, root_relative_squared_error: 0.9283, scimark_benchmark: 1736.1224, usercpu_time_millis: 3.263, usercpu_time_millis_testing: 0.387, usercpu_time_millis_training: 2.876,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7326, f_measure: 0.6739, kappa: 0.1695, kb_relative_information_score: 62.0846, mean_absolute_error: 0.3472, mean_prior_absolute_error: 0.4091, number_of_instances: 583, precision: 0.6663, predictive_accuracy: 0.6964, prior_entropy: 0.8651, recall: 0.6964, relative_absolute_error: 0.8487, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.4233, root_relative_squared_error: 0.9362, scimark_benchmark: 1793.2352, usercpu_time_millis: 2.904, usercpu_time_millis_testing: 0.196, usercpu_time_millis_training: 2.708,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7131, f_measure: 0.67, kappa: 0.1552, kb_relative_information_score: 54.313, mean_absolute_error: 0.3536, mean_prior_absolute_error: 0.4091, number_of_instances: 583, precision: 0.6636, predictive_accuracy: 0.6998, prior_entropy: 0.8651, recall: 0.6998, relative_absolute_error: 0.8643, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.4278, root_relative_squared_error: 0.9462, scimark_benchmark: 1750.4323, usercpu_time_millis: 1.032, usercpu_time_millis_testing: 0.095, usercpu_time_millis_training: 0.937,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7333, f_measure: 0.5901, kappa: -0.0169, kb_relative_information_score: 50.3004, mean_absolute_error: 0.3607, mean_prior_absolute_error: 0.4091, number_of_instances: 583, precision: 0.5074, predictive_accuracy: 0.705, prior_entropy: 0.8651, recall: 0.705, relative_absolute_error: 0.8817, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.4202, root_relative_squared_error: 0.9294, scimark_benchmark: 1788.4947, usercpu_time_millis: 1.576, usercpu_time_millis_testing: 0.224, usercpu_time_millis_training: 1.352,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7299, f_measure: 0.6397, kappa: 0.0858, kb_relative_information_score: 53.7983, mean_absolute_error: 0.3568, mean_prior_absolute_error: 0.4091, number_of_instances: 583, precision: 0.6771, predictive_accuracy: 0.7187, prior_entropy: 0.8651, recall: 0.7187, relative_absolute_error: 0.8721, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.4206, root_relative_squared_error: 0.9304, scimark_benchmark: 1870.9768, usercpu_time_millis: 2.39, usercpu_time_millis_testing: 0.273, usercpu_time_millis_training: 2.117,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7395, f_measure: 0.633, kappa: 0.0702, kb_relative_information_score: 53.915, mean_absolute_error: 0.358, mean_prior_absolute_error: 0.4091, number_of_instances: 583, precision: 0.6657, predictive_accuracy: 0.7153, prior_entropy: 0.8651, recall: 0.7153, relative_absolute_error: 0.875, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.4184, root_relative_squared_error: 0.9255, scimark_benchmark: 1786.3001, usercpu_time_millis: 1.383, usercpu_time_millis_testing: 0.214, usercpu_time_millis_training: 1.169,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7084, f_measure: 0.6508, kappa: 0.1033, kb_relative_information_score: 53.8721, mean_absolute_error: 0.3554, mean_prior_absolute_error: 0.4091, number_of_instances: 583, precision: 0.6435, predictive_accuracy: 0.6913, prior_entropy: 0.8651, recall: 0.6913, relative_absolute_error: 0.8688, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.4301, root_relative_squared_error: 0.9514, scimark_benchmark: 1734.4326, usercpu_time_millis: 0.61, usercpu_time_millis_testing: 0.227, usercpu_time_millis_training: 0.383,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4992, f_measure: 0.5943, kb_relative_information_score: 0.5489, mean_absolute_error: 0.4085, mean_prior_absolute_error: 0.4091, number_of_instances: 583, precision: 0.5092, predictive_accuracy: 0.7136, prior_entropy: 0.8651, recall: 0.7136, relative_absolute_error: 0.9985, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.4521, root_relative_squared_error: 1, scimark_benchmark: 1754.1079, usercpu_time_millis: 0.091, usercpu_time_millis_testing: 0.028, usercpu_time_millis_training: 0.063,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7367, f_measure: 0.5943, kb_relative_information_score: 40.9815, mean_absolute_error: 0.3701, mean_prior_absolute_error: 0.4091, number_of_instances: 583, precision: 0.5092, predictive_accuracy: 0.7136, prior_entropy: 0.8651, recall: 0.7136, relative_absolute_error: 0.9047, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.4226, root_relative_squared_error: 0.9347, scimark_benchmark: 1783.3607, usercpu_time_millis: 0.885, usercpu_time_millis_testing: 0.264, usercpu_time_millis_training: 0.621,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7369, f_measure: 0.654, kappa: 0.1134, kb_relative_information_score: 52.904, mean_absolute_error: 0.3581, mean_prior_absolute_error: 0.4091, number_of_instances: 583, precision: 0.6667, predictive_accuracy: 0.7136, prior_entropy: 0.8651, recall: 0.7136, relative_absolute_error: 0.8754, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.4192, root_relative_squared_error: 0.9272, scimark_benchmark: 1790.2408, usercpu_time_millis: 0.848, usercpu_time_millis_testing: 0.24, usercpu_time_millis_training: 0.608,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.739, f_measure: 0.6741, kappa: 0.1631, kb_relative_information_score: 61.716, mean_absolute_error: 0.3489, mean_prior_absolute_error: 0.4091, number_of_instances: 583, precision: 0.6737, predictive_accuracy: 0.7118, prior_entropy: 0.8651, recall: 0.7118, relative_absolute_error: 0.8529, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.4195, root_relative_squared_error: 0.9279, scimark_benchmark: 1789.8185, usercpu_time_millis: 0.576, usercpu_time_millis_testing: 0.063, usercpu_time_millis_training: 0.513,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4928, f_measure: 0.5943, kb_relative_information_score: 0.2148, mean_absolute_error: 0.4088, mean_prior_absolute_error: 0.4091, number_of_instances: 583, precision: 0.5092, predictive_accuracy: 0.7136, prior_entropy: 0.8651, recall: 0.7136, relative_absolute_error: 0.9992, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.4521, root_relative_squared_error: 1, scimark_benchmark: 1819.7332, usercpu_time_millis: 0.889, usercpu_time_millis_testing: 0.164, usercpu_time_millis_training: 0.725,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7215, f_measure: 0.6762, kappa: 0.1759, kb_relative_information_score: 55.2844, mean_absolute_error: 0.3503, mean_prior_absolute_error: 0.4091, number_of_instances: 583, precision: 0.6688, predictive_accuracy: 0.6981, prior_entropy: 0.8651, recall: 0.6981, relative_absolute_error: 0.8563, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.426, root_relative_squared_error: 0.9423, scimark_benchmark: 1749.8301, usercpu_time_millis: 0.583, usercpu_time_millis_testing: 0.04, usercpu_time_millis_training: 0.543,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7428, f_measure: 0.6118, kappa: 0.0245, kb_relative_information_score: 51.7745, mean_absolute_error: 0.3597, mean_prior_absolute_error: 0.4091, number_of_instances: 583, precision: 0.6298, predictive_accuracy: 0.7084, prior_entropy: 0.8651, recall: 0.7084, relative_absolute_error: 0.8793, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.4182, root_relative_squared_error: 0.925, scimark_benchmark: 1787.9507, usercpu_time_millis: 0.253, usercpu_time_millis_testing: 0.051, usercpu_time_millis_training: 0.202,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7313, f_measure: 0.6747, kappa: 0.1686, kb_relative_information_score: 59.2498, mean_absolute_error: 0.3502, mean_prior_absolute_error: 0.4091, number_of_instances: 583, precision: 0.6683, predictive_accuracy: 0.7015, prior_entropy: 0.8651, recall: 0.7015, relative_absolute_error: 0.8559, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.4227, root_relative_squared_error: 0.9349, scimark_benchmark: 1791.9139, usercpu_time_millis: 0.479, usercpu_time_millis_testing: 0.051, usercpu_time_millis_training: 0.428,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7011, f_measure: 0.5943, kb_relative_information_score: 27.4393, mean_absolute_error: 0.372, mean_prior_absolute_error: 0.4091, number_of_instances: 583, precision: 0.5092, predictive_accuracy: 0.7136, prior_entropy: 0.8651, recall: 0.7136, relative_absolute_error: 0.9094, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.4285, root_relative_squared_error: 0.9478, scimark_benchmark: 1866.1679, usercpu_time_millis: 0.272, usercpu_time_millis_testing: 0.061, usercpu_time_millis_training: 0.211,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7253, f_measure: 0.6474, kappa: 0.094, kb_relative_information_score: 53.1457, mean_absolute_error: 0.3544, mean_prior_absolute_error: 0.4091, number_of_instances: 583, precision: 0.6424, predictive_accuracy: 0.6947, prior_entropy: 0.8651, recall: 0.6947, relative_absolute_error: 0.8662, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.4222, root_relative_squared_error: 0.9339, scimark_benchmark: 1871.5019, usercpu_time_millis: 0.265, usercpu_time_millis_testing: 0.042, usercpu_time_millis_training: 0.223,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7394, f_measure: 0.5943, kb_relative_information_score: 30.5313, mean_absolute_error: 0.38, mean_prior_absolute_error: 0.4091, number_of_instances: 583, precision: 0.5092, predictive_accuracy: 0.7136, prior_entropy: 0.8651, recall: 0.7136, relative_absolute_error: 0.929, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.4277, root_relative_squared_error: 0.946, scimark_benchmark: 1768.9473, usercpu_time_millis: 1.284, usercpu_time_millis_testing: 0.238, usercpu_time_millis_training: 1.046,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7195, f_measure: 0.6708, kappa: 0.1752, kb_relative_information_score: 66.337, mean_absolute_error: 0.341, mean_prior_absolute_error: 0.4091, number_of_instances: 583, precision: 0.6641, predictive_accuracy: 0.681, prior_entropy: 0.8651, recall: 0.681, relative_absolute_error: 0.8335, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.4395, root_relative_squared_error: 0.9722, scimark_benchmark: 1845.181, usercpu_time_millis: 14.653, usercpu_time_millis_testing: 0.912, usercpu_time_millis_training: 13.741,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7383, f_measure: 0.6782, kappa: 0.1824, kb_relative_information_score: 65.7915, mean_absolute_error: 0.345, mean_prior_absolute_error: 0.4091, number_of_instances: 583, precision: 0.6708, predictive_accuracy: 0.6981, prior_entropy: 0.8651, recall: 0.6981, relative_absolute_error: 0.8434, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.4225, root_relative_squared_error: 0.9344, scimark_benchmark: 1734.6681, usercpu_time_millis: 10.414, usercpu_time_millis_testing: 0.775, usercpu_time_millis_training: 9.639,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7189, f_measure: 0.6751, kappa: 0.1803, kb_relative_information_score: 69.0706, mean_absolute_error: 0.3402, mean_prior_absolute_error: 0.4091, number_of_instances: 583, precision: 0.6675, predictive_accuracy: 0.6895, prior_entropy: 0.8651, recall: 0.6895, relative_absolute_error: 0.8315, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.4391, root_relative_squared_error: 0.9712, scimark_benchmark: 1865.6214, usercpu_time_millis: 12.532, usercpu_time_millis_testing: 0.791, usercpu_time_millis_training: 11.741,
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: 0.7332, f_measure: 0.6625, kappa: 0.1343, kb_relative_information_score: 59.6944, mean_absolute_error: 0.3499, mean_prior_absolute_error: 0.4091, number_of_instances: 583, precision: 0.6568, predictive_accuracy: 0.6981, prior_entropy: 0.8651, recall: 0.6981, relative_absolute_error: 0.8552, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.421, root_relative_squared_error: 0.9312, scimark_benchmark: 1723.011, usercpu_time_millis: 5.779, usercpu_time_millis_testing: 0.51, usercpu_time_millis_training: 5.269,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7361, f_measure: 0.6692, kappa: 0.1567, kb_relative_information_score: 62.9676, mean_absolute_error: 0.3474, mean_prior_absolute_error: 0.4091, number_of_instances: 583, precision: 0.6611, predictive_accuracy: 0.693, prior_entropy: 0.8651, recall: 0.693, relative_absolute_error: 0.8491, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.422, root_relative_squared_error: 0.9333, scimark_benchmark: 1860.5298, usercpu_time_millis: 8.106, usercpu_time_millis_testing: 0.548, usercpu_time_millis_training: 7.558,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7038, f_measure: 0.6814, kappa: 0.2018, kb_relative_information_score: 62.9295, mean_absolute_error: 0.3414, mean_prior_absolute_error: 0.4091, number_of_instances: 583, precision: 0.6752, predictive_accuracy: 0.6913, prior_entropy: 0.8651, recall: 0.6913, relative_absolute_error: 0.8345, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.4524, root_relative_squared_error: 1.0007, scimark_benchmark: 1843.1687, usercpu_time_millis: 6.161, usercpu_time_millis_testing: 0.334, usercpu_time_millis_training: 5.827,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7447, f_measure: 0.6091, kappa: 0.0304, kb_relative_information_score: 48.5316, mean_absolute_error: 0.3631, mean_prior_absolute_error: 0.4091, number_of_instances: 583, precision: 0.7415, predictive_accuracy: 0.7187, prior_entropy: 0.8651, recall: 0.7187, relative_absolute_error: 0.8875, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.4188, root_relative_squared_error: 0.9263, scimark_benchmark: 1109.9017, usercpu_time_millis: 1.276, usercpu_time_millis_testing: 0.221, usercpu_time_millis_training: 1.055,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7293, f_measure: 0.6805, kappa: 0.1848, kb_relative_information_score: 58.1282, mean_absolute_error: 0.3496, mean_prior_absolute_error: 0.4091, number_of_instances: 583, precision: 0.6744, predictive_accuracy: 0.705, prior_entropy: 0.8651, recall: 0.705, relative_absolute_error: 0.8546, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.4242, root_relative_squared_error: 0.9382, scimark_benchmark: 1094.0803, usercpu_time_millis: 0.911, usercpu_time_millis_testing: 0.085, usercpu_time_millis_training: 0.826,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7493, f_measure: 0.6605, kappa: 0.1307, kb_relative_information_score: 57.0947, mean_absolute_error: 0.3551, mean_prior_absolute_error: 0.4091, number_of_instances: 583, precision: 0.6807, predictive_accuracy: 0.7204, prior_entropy: 0.8651, recall: 0.7204, relative_absolute_error: 0.8681, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.4161, root_relative_squared_error: 0.9203, scimark_benchmark: 1842.7105, usercpu_time_millis: 3.037, usercpu_time_millis_testing: 0.348, usercpu_time_millis_training: 2.689,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7393, f_measure: 0.6612, kappa: 0.1323, kb_relative_information_score: 64.1661, mean_absolute_error: 0.3471, mean_prior_absolute_error: 0.4091, number_of_instances: 583, precision: 0.6535, predictive_accuracy: 0.693, prior_entropy: 0.8651, recall: 0.693, relative_absolute_error: 0.8486, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.4196, root_relative_squared_error: 0.9282, scimark_benchmark: 1857.102, usercpu_time_millis: 5.349, usercpu_time_millis_testing: 0.524, usercpu_time_millis_training: 4.825,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7362, f_measure: 0.6513, kappa: 0.1042, kb_relative_information_score: 57.8934, mean_absolute_error: 0.3525, mean_prior_absolute_error: 0.4091, number_of_instances: 583, precision: 0.6479, predictive_accuracy: 0.6981, prior_entropy: 0.8651, recall: 0.6981, relative_absolute_error: 0.8617, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.4188, root_relative_squared_error: 0.9264, scimark_benchmark: 1842.9066, usercpu_time_millis: 2.366, usercpu_time_millis_testing: 0.277, usercpu_time_millis_training: 2.089,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7397, f_measure: 0.6638, kappa: 0.1374, kb_relative_information_score: 49.8663, mean_absolute_error: 0.359, mean_prior_absolute_error: 0.4091, number_of_instances: 583, precision: 0.6587, predictive_accuracy: 0.6998, prior_entropy: 0.8651, recall: 0.6998, relative_absolute_error: 0.8774, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.4192, root_relative_squared_error: 0.9272, scimark_benchmark: 1765.8058, usercpu_time_millis: 1.561, usercpu_time_millis_testing: 0.173, usercpu_time_millis_training: 1.388,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4908, f_measure: 0.5943, kb_relative_information_score: 0.0106, mean_absolute_error: 0.409, mean_prior_absolute_error: 0.4091, number_of_instances: 583, precision: 0.5092, predictive_accuracy: 0.7136, prior_entropy: 0.8651, recall: 0.7136, relative_absolute_error: 0.9997, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.4521, root_relative_squared_error: 1, scimark_benchmark: 1779.2887, usercpu_time_millis: 1.226, usercpu_time_millis_testing: 0.213, usercpu_time_millis_training: 1.013,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7368, f_measure: 0.6637, kappa: 0.1364, kb_relative_information_score: 58.5507, mean_absolute_error: 0.3518, mean_prior_absolute_error: 0.4091, number_of_instances: 583, precision: 0.6607, predictive_accuracy: 0.7033, prior_entropy: 0.8651, recall: 0.7033, relative_absolute_error: 0.8599, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.4193, root_relative_squared_error: 0.9275, scimark_benchmark: 1860.6018, usercpu_time_millis: 1.785, usercpu_time_millis_testing: 0.195, usercpu_time_millis_training: 1.59,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5044, f_measure: 0.5943, kb_relative_information_score: -0.7492, mean_absolute_error: 0.4085, mean_prior_absolute_error: 0.4091, number_of_instances: 583, precision: 0.5092, predictive_accuracy: 0.7136, prior_entropy: 0.8651, recall: 0.7136, relative_absolute_error: 0.9985, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.4521, root_relative_squared_error: 1, scimark_benchmark: 1013.6824, usercpu_time_millis: 0.194, usercpu_time_millis_testing: 0.074, usercpu_time_millis_training: 0.12,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7372, f_measure: 0.5934, kappa: -0.0034, kb_relative_information_score: 45.1691, mean_absolute_error: 0.3664, mean_prior_absolute_error: 0.4091, number_of_instances: 583, precision: 0.5088, predictive_accuracy: 0.7118, prior_entropy: 0.8651, recall: 0.7118, relative_absolute_error: 0.8957, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.421, root_relative_squared_error: 0.9313, scimark_benchmark: 1843.3605, usercpu_time_millis: 1.283, usercpu_time_millis_testing: 0.222, usercpu_time_millis_training: 1.061,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7128, f_measure: 0.5943, kb_relative_information_score: 30.6445, mean_absolute_error: 0.3721, mean_prior_absolute_error: 0.4091, number_of_instances: 583, precision: 0.5092, predictive_accuracy: 0.7136, prior_entropy: 0.8651, recall: 0.7136, relative_absolute_error: 0.9095, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.427, root_relative_squared_error: 0.9446, scimark_benchmark: 1848.388, usercpu_time_millis: 0.323, usercpu_time_millis_testing: 0.058, usercpu_time_millis_training: 0.265,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7404, f_measure: 0.5996, kappa: 0.0067, kb_relative_information_score: 50.4187, mean_absolute_error: 0.3614, mean_prior_absolute_error: 0.4091, number_of_instances: 583, precision: 0.6244, predictive_accuracy: 0.7118, prior_entropy: 0.8651, recall: 0.7118, relative_absolute_error: 0.8834, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.419, root_relative_squared_error: 0.9268, scimark_benchmark: 1864.4376, usercpu_time_millis: 2.007, usercpu_time_millis_testing: 0.283, usercpu_time_millis_training: 1.724,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7405, f_measure: 0.6926, kappa: 0.2131, kb_relative_information_score: 54.9544, mean_absolute_error: 0.3537, mean_prior_absolute_error: 0.4091, number_of_instances: 583, precision: 0.6907, predictive_accuracy: 0.7204, prior_entropy: 0.8651, recall: 0.7204, relative_absolute_error: 0.8645, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.4187, root_relative_squared_error: 0.9262, scimark_benchmark: 1865.1633, usercpu_time_millis: 0.581, usercpu_time_millis_testing: 0.082, usercpu_time_millis_training: 0.499,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7367, f_measure: 0.6298, kappa: 0.0601, kb_relative_information_score: 52.434, mean_absolute_error: 0.3585, mean_prior_absolute_error: 0.4091, number_of_instances: 583, precision: 0.6498, predictive_accuracy: 0.7101, prior_entropy: 0.8651, recall: 0.7101, relative_absolute_error: 0.8763, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.4195, root_relative_squared_error: 0.9278, scimark_benchmark: 1758.0745, usercpu_time_millis: 2.492, usercpu_time_millis_testing: 0.326, usercpu_time_millis_training: 2.166,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7372, f_measure: 0.5943, kb_relative_information_score: 30.9149, mean_absolute_error: 0.3793, mean_prior_absolute_error: 0.4091, number_of_instances: 583, precision: 0.5092, predictive_accuracy: 0.7136, prior_entropy: 0.8651, recall: 0.7136, relative_absolute_error: 0.9272, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.4275, root_relative_squared_error: 0.9455, scimark_benchmark: 1781.2535, usercpu_time_millis: 0.925, usercpu_time_millis_testing: 0.259, usercpu_time_millis_training: 0.666,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7236, f_measure: 0.6719, kappa: 0.1747, kb_relative_information_score: 65.416, mean_absolute_error: 0.3429, mean_prior_absolute_error: 0.4091, number_of_instances: 583, precision: 0.6645, predictive_accuracy: 0.6844, prior_entropy: 0.8651, recall: 0.6844, relative_absolute_error: 0.8383, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.4319, root_relative_squared_error: 0.9553, scimark_benchmark: 2033.8822, usercpu_time_millis: 1.407, usercpu_time_millis_testing: 0.08, usercpu_time_millis_training: 1.327,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7385, f_measure: 0.6711, kappa: 0.1587, kb_relative_information_score: 60.3885, mean_absolute_error: 0.3496, mean_prior_absolute_error: 0.4091, number_of_instances: 583, precision: 0.6646, predictive_accuracy: 0.6998, prior_entropy: 0.8651, recall: 0.6998, relative_absolute_error: 0.8546, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.4198, root_relative_squared_error: 0.9287, scimark_benchmark: 2080.1321, usercpu_time_millis: 4.775, usercpu_time_millis_testing: 0.385, usercpu_time_millis_training: 4.39,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4994, f_measure: 0.5943, kb_relative_information_score: 1.179, mean_absolute_error: 0.4081, mean_prior_absolute_error: 0.4091, number_of_instances: 583, precision: 0.5092, predictive_accuracy: 0.7136, prior_entropy: 0.8651, recall: 0.7136, relative_absolute_error: 0.9976, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.4521, root_relative_squared_error: 1, scimark_benchmark: 1911.7682, usercpu_time_millis: 0.233, usercpu_time_millis_testing: 0.041, usercpu_time_millis_training: 0.192,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7329, f_measure: 0.6646, kappa: 0.1486, kb_relative_information_score: 67.8313, mean_absolute_error: 0.3432, mean_prior_absolute_error: 0.4091, number_of_instances: 583, precision: 0.6557, predictive_accuracy: 0.6844, prior_entropy: 0.8651, recall: 0.6844, relative_absolute_error: 0.839, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.4265, root_relative_squared_error: 0.9434, scimark_benchmark: 1793.5755, usercpu_time_millis: 3.13, usercpu_time_millis_testing: 0.244, usercpu_time_millis_training: 2.886,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7408, f_measure: 0.6111, kappa: 0.0264, kb_relative_information_score: 48.069, mean_absolute_error: 0.3632, mean_prior_absolute_error: 0.4091, number_of_instances: 583, precision: 0.6442, predictive_accuracy: 0.7118, prior_entropy: 0.8651, recall: 0.7118, relative_absolute_error: 0.8879, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.4194, root_relative_squared_error: 0.9278, scimark_benchmark: 1767.536, usercpu_time_millis: 0.247, usercpu_time_millis_testing: 0.045, usercpu_time_millis_training: 0.202,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7388, f_measure: 0.6846, kappa: 0.2012, kb_relative_information_score: 67.1771, mean_absolute_error: 0.3431, mean_prior_absolute_error: 0.4091, number_of_instances: 583, precision: 0.6777, predictive_accuracy: 0.7015, prior_entropy: 0.8651, recall: 0.7015, relative_absolute_error: 0.8386, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.4236, root_relative_squared_error: 0.9369, scimark_benchmark: 1855.3522, usercpu_time_millis: 3.02, usercpu_time_millis_testing: 0.209, usercpu_time_millis_training: 2.811,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7327, f_measure: 0.645, kappa: 0.0878, kb_relative_information_score: 56.8675, mean_absolute_error: 0.3532, mean_prior_absolute_error: 0.4091, number_of_instances: 583, precision: 0.6382, predictive_accuracy: 0.6913, prior_entropy: 0.8651, recall: 0.6913, relative_absolute_error: 0.8634, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.4202, root_relative_squared_error: 0.9293, scimark_benchmark: 1986.1223, usercpu_time_millis: 2.956, usercpu_time_millis_testing: 0.265, usercpu_time_millis_training: 2.691,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7336, f_measure: 0.6799, kappa: 0.1852, kb_relative_information_score: 60.4239, mean_absolute_error: 0.3487, mean_prior_absolute_error: 0.4091, number_of_instances: 583, precision: 0.673, predictive_accuracy: 0.7015, prior_entropy: 0.8651, recall: 0.7015, relative_absolute_error: 0.8523, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.4224, root_relative_squared_error: 0.9344, scimark_benchmark: 1986.6592, usercpu_time_millis: 5.288, usercpu_time_millis_testing: 0.441, usercpu_time_millis_training: 4.847,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7249, f_measure: 0.6623, kappa: 0.1364, kb_relative_information_score: 55.8218, mean_absolute_error: 0.3509, mean_prior_absolute_error: 0.4091, number_of_instances: 583, precision: 0.6541, predictive_accuracy: 0.6913, prior_entropy: 0.8651, recall: 0.6913, relative_absolute_error: 0.8576, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.4249, root_relative_squared_error: 0.9399, scimark_benchmark: 1987.1379, usercpu_time_millis: 3.458, usercpu_time_millis_testing: 0.184, usercpu_time_millis_training: 3.274,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4918, f_measure: 0.5943, kb_relative_information_score: -0.0888, mean_absolute_error: 0.409, mean_prior_absolute_error: 0.4091, number_of_instances: 583, precision: 0.5092, predictive_accuracy: 0.7136, prior_entropy: 0.8651, recall: 0.7136, relative_absolute_error: 0.9997, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.4521, root_relative_squared_error: 1, scimark_benchmark: 1449.7385, usercpu_time_millis: 1.176, usercpu_time_millis_testing: 0.287, usercpu_time_millis_training: 0.889,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7421, f_measure: 0.5943, kb_relative_information_score: 38.9461, mean_absolute_error: 0.3732, mean_prior_absolute_error: 0.4091, number_of_instances: 583, precision: 0.5092, predictive_accuracy: 0.7136, prior_entropy: 0.8651, recall: 0.7136, relative_absolute_error: 0.9122, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.4233, root_relative_squared_error: 0.9362, scimark_benchmark: 1419.2715, usercpu_time_millis: 1.363, usercpu_time_millis_testing: 0.264, usercpu_time_millis_training: 1.099,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7415, f_measure: 0.6689, kappa: 0.1513, kb_relative_information_score: 56.2556, mean_absolute_error: 0.3536, mean_prior_absolute_error: 0.4091, number_of_instances: 583, precision: 0.6635, predictive_accuracy: 0.7015, prior_entropy: 0.8651, recall: 0.7015, relative_absolute_error: 0.8644, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.418, root_relative_squared_error: 0.9245, scimark_benchmark: 1415.8022, usercpu_time_millis: 3.179, usercpu_time_millis_testing: 0.416, usercpu_time_millis_training: 2.763,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7385, f_measure: 0.6709, kappa: 0.1638, kb_relative_information_score: 65.1234, mean_absolute_error: 0.3462, mean_prior_absolute_error: 0.4091, number_of_instances: 583, precision: 0.6627, predictive_accuracy: 0.6913, prior_entropy: 0.8651, recall: 0.6913, relative_absolute_error: 0.8463, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.4222, root_relative_squared_error: 0.9338, scimark_benchmark: 1399.4136, usercpu_time_millis: 3.291, usercpu_time_millis_testing: 0.231, usercpu_time_millis_training: 3.06,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7387, f_measure: 0.6064, kappa: 0.0201, kb_relative_information_score: 48.9226, mean_absolute_error: 0.3631, mean_prior_absolute_error: 0.4091, number_of_instances: 583, precision: 0.6545, predictive_accuracy: 0.7136, prior_entropy: 0.8651, recall: 0.7136, relative_absolute_error: 0.8876, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.4198, root_relative_squared_error: 0.9285, scimark_benchmark: 1399.3031, usercpu_time_millis: 0.38, usercpu_time_millis_testing: 0.059, usercpu_time_millis_training: 0.321,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7325, f_measure: 0.5943, kb_relative_information_score: 34.2034, mean_absolute_error: 0.3752, mean_prior_absolute_error: 0.4091, number_of_instances: 583, precision: 0.5092, predictive_accuracy: 0.7136, prior_entropy: 0.8651, recall: 0.7136, relative_absolute_error: 0.917, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.4255, root_relative_squared_error: 0.9411, scimark_benchmark: 1400.9527, usercpu_time_millis: 0.171, usercpu_time_millis_testing: 0.039, usercpu_time_millis_training: 0.132,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7324, f_measure: 0.6728, kappa: 0.1599, kb_relative_information_score: 56.4774, mean_absolute_error: 0.3539, mean_prior_absolute_error: 0.4091, number_of_instances: 583, precision: 0.6716, predictive_accuracy: 0.7101, prior_entropy: 0.8651, recall: 0.7101, relative_absolute_error: 0.8651, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.4207, root_relative_squared_error: 0.9306, scimark_benchmark: 1388.1649, usercpu_time_millis: 0.297, usercpu_time_millis_testing: 0.051, usercpu_time_millis_training: 0.246,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7471, f_measure: 0.6724, kappa: 0.1617, kb_relative_information_score: 65.8965, mean_absolute_error: 0.3471, mean_prior_absolute_error: 0.4091, number_of_instances: 583, precision: 0.6664, predictive_accuracy: 0.7015, prior_entropy: 0.8651, recall: 0.7015, relative_absolute_error: 0.8484, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.417, root_relative_squared_error: 0.9223, scimark_benchmark: 1385.1624, usercpu_time_millis: 5.447, usercpu_time_millis_testing: 0.767, usercpu_time_millis_training: 4.68,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7235, f_measure: 0.5943, kb_relative_information_score: 36.2607, mean_absolute_error: 0.3718, mean_prior_absolute_error: 0.4091, number_of_instances: 583, precision: 0.5092, predictive_accuracy: 0.7136, prior_entropy: 0.8651, recall: 0.7136, relative_absolute_error: 0.9087, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.4251, root_relative_squared_error: 0.9402, scimark_benchmark: 1384.0721, usercpu_time_millis: 1.446, usercpu_time_millis_testing: 0.2, usercpu_time_millis_training: 1.246,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7041, f_measure: 0.5943, kb_relative_information_score: 27.6242, mean_absolute_error: 0.3726, mean_prior_absolute_error: 0.4091, number_of_instances: 583, precision: 0.5092, predictive_accuracy: 0.7136, prior_entropy: 0.8651, recall: 0.7136, relative_absolute_error: 0.9108, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.4285, root_relative_squared_error: 0.9478, scimark_benchmark: 1382.3404, usercpu_time_millis: 0.574, usercpu_time_millis_testing: 0.098, usercpu_time_millis_training: 0.476,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.749, f_measure: 0.6587, kappa: 0.1246, kb_relative_information_score: 58.8907, mean_absolute_error: 0.3538, mean_prior_absolute_error: 0.4091, number_of_instances: 583, precision: 0.671, predictive_accuracy: 0.7153, prior_entropy: 0.8651, recall: 0.7153, relative_absolute_error: 0.8649, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.4162, root_relative_squared_error: 0.9205, scimark_benchmark: 1381.9146, usercpu_time_millis: 2.459, usercpu_time_millis_testing: 0.377, usercpu_time_millis_training: 2.082,
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: 0.7389, f_measure: 0.5943, kb_relative_information_score: 36.3428, mean_absolute_error: 0.3748, mean_prior_absolute_error: 0.4091, number_of_instances: 583, precision: 0.5092, predictive_accuracy: 0.7136, prior_entropy: 0.8651, recall: 0.7136, relative_absolute_error: 0.916, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.4244, root_relative_squared_error: 0.9388, scimark_benchmark: 1381.8875, usercpu_time_millis: 0.429, usercpu_time_millis_testing: 0.081, usercpu_time_millis_training: 0.348,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7347, f_measure: 0.6602, kappa: 0.1271, kb_relative_information_score: 57.5944, mean_absolute_error: 0.3525, mean_prior_absolute_error: 0.4091, number_of_instances: 583, precision: 0.6628, predictive_accuracy: 0.7084, prior_entropy: 0.8651, recall: 0.7084, relative_absolute_error: 0.8616, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.4204, root_relative_squared_error: 0.9298, scimark_benchmark: 1386.583, usercpu_time_millis: 3.554, usercpu_time_millis_testing: 0.493, usercpu_time_millis_training: 3.061,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7371, f_measure: 0.637, kappa: 0.0721, kb_relative_information_score: 56.0503, mean_absolute_error: 0.3553, mean_prior_absolute_error: 0.4091, number_of_instances: 583, precision: 0.6446, predictive_accuracy: 0.705, prior_entropy: 0.8651, recall: 0.705, relative_absolute_error: 0.8686, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.4187, root_relative_squared_error: 0.9261, scimark_benchmark: 1375.8161, usercpu_time_millis: 1.467, usercpu_time_millis_testing: 0.227, usercpu_time_millis_training: 1.24,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7569, f_measure: 0.693, kappa: 0.213, kb_relative_information_score: 70.5805, mean_absolute_error: 0.3462, mean_prior_absolute_error: 0.4091, number_of_instances: 583, precision: 0.6936, predictive_accuracy: 0.7238, prior_entropy: 0.8651, recall: 0.7238, relative_absolute_error: 0.8463, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.4138, root_relative_squared_error: 0.9154, scimark_benchmark: 1369.3408, usercpu_time_millis: 3.896, usercpu_time_millis_testing: 0.634, usercpu_time_millis_training: 3.262,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.693, f_measure: 0.6558, kappa: 0.1322, kb_relative_information_score: 52.1519, mean_absolute_error: 0.35, mean_prior_absolute_error: 0.4091, number_of_instances: 583, precision: 0.6471, predictive_accuracy: 0.6707, prior_entropy: 0.8651, recall: 0.6707, relative_absolute_error: 0.8556, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.4493, root_relative_squared_error: 0.9938, scimark_benchmark: 1374.21, usercpu_time_millis: 5.406, usercpu_time_millis_testing: 0.315, usercpu_time_millis_training: 5.091,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.731, f_measure: 0.6636, kappa: 0.1358, kb_relative_information_score: 58.2049, mean_absolute_error: 0.352, mean_prior_absolute_error: 0.4091, number_of_instances: 583, precision: 0.6618, predictive_accuracy: 0.705, prior_entropy: 0.8651, recall: 0.705, relative_absolute_error: 0.8604, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.4209, root_relative_squared_error: 0.9309, scimark_benchmark: 1386.3901, usercpu_time_millis: 2.083, usercpu_time_millis_testing: 0.227, usercpu_time_millis_training: 1.856,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5013, f_measure: 0.5943, kb_relative_information_score: -0.8608, mean_absolute_error: 0.4087, mean_prior_absolute_error: 0.4091, number_of_instances: 583, precision: 0.5092, predictive_accuracy: 0.7136, prior_entropy: 0.8651, recall: 0.7136, relative_absolute_error: 0.9991, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.4521, root_relative_squared_error: 1, scimark_benchmark: 1374.845, usercpu_time_millis: 0.125, usercpu_time_millis_testing: 0.033, usercpu_time_millis_training: 0.092,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7258, f_measure: 0.6664, kappa: 0.1441, kb_relative_information_score: 57.3327, mean_absolute_error: 0.3516, mean_prior_absolute_error: 0.4091, number_of_instances: 583, precision: 0.6616, predictive_accuracy: 0.7015, prior_entropy: 0.8651, recall: 0.7015, relative_absolute_error: 0.8595, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.424, root_relative_squared_error: 0.9378, scimark_benchmark: 1383.5508, usercpu_time_millis: 1.744, usercpu_time_millis_testing: 0.163, usercpu_time_millis_training: 1.581,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7431, f_measure: 0.633, kappa: 0.0702, kb_relative_information_score: 49.855, mean_absolute_error: 0.3612, mean_prior_absolute_error: 0.4091, number_of_instances: 583, precision: 0.6657, predictive_accuracy: 0.7153, prior_entropy: 0.8651, recall: 0.7153, relative_absolute_error: 0.883, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.4183, root_relative_squared_error: 0.9252, scimark_benchmark: 1375.1116, usercpu_time_millis: 2.182, usercpu_time_millis_testing: 0.334, usercpu_time_millis_training: 1.848,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.491, f_measure: 0.5943, kb_relative_information_score: -0.1285, mean_absolute_error: 0.409, mean_prior_absolute_error: 0.4091, number_of_instances: 583, precision: 0.5092, predictive_accuracy: 0.7136, prior_entropy: 0.8651, recall: 0.7136, relative_absolute_error: 0.9997, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.4521, root_relative_squared_error: 1, scimark_benchmark: 1376.1642, usercpu_time_millis: 0.704, usercpu_time_millis_testing: 0.149, usercpu_time_millis_training: 0.555,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7331, f_measure: 0.6587, kappa: 0.1233, kb_relative_information_score: 57.5836, mean_absolute_error: 0.3534, mean_prior_absolute_error: 0.4091, number_of_instances: 583, precision: 0.662, predictive_accuracy: 0.7084, prior_entropy: 0.8651, recall: 0.7084, relative_absolute_error: 0.8639, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.42, root_relative_squared_error: 0.929, scimark_benchmark: 1373.4291, usercpu_time_millis: 3.363, usercpu_time_millis_testing: 0.347, usercpu_time_millis_training: 3.016,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7268, f_measure: 0.5943, kb_relative_information_score: 33.6174, mean_absolute_error: 0.3742, mean_prior_absolute_error: 0.4091, number_of_instances: 583, precision: 0.5092, predictive_accuracy: 0.7136, prior_entropy: 0.8651, recall: 0.7136, relative_absolute_error: 0.9146, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.4259, root_relative_squared_error: 0.942, scimark_benchmark: 1376.4352, usercpu_time_millis: 0.829, usercpu_time_millis_testing: 0.164, usercpu_time_millis_training: 0.665,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7309, f_measure: 0.6547, kappa: 0.1133, kb_relative_information_score: 57.5399, mean_absolute_error: 0.3524, mean_prior_absolute_error: 0.4091, number_of_instances: 583, precision: 0.6485, predictive_accuracy: 0.6947, prior_entropy: 0.8651, recall: 0.6947, relative_absolute_error: 0.8615, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.4209, root_relative_squared_error: 0.9311, scimark_benchmark: 1377.7714, usercpu_time_millis: 2.201, usercpu_time_millis_testing: 0.225, usercpu_time_millis_training: 1.976,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7455, f_measure: 0.6539, kappa: 0.1153, kb_relative_information_score: 56.7343, mean_absolute_error: 0.3553, mean_prior_absolute_error: 0.4091, number_of_instances: 583, precision: 0.6765, predictive_accuracy: 0.7187, prior_entropy: 0.8651, recall: 0.7187, relative_absolute_error: 0.8686, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.4172, root_relative_squared_error: 0.9228, scimark_benchmark: 1373.5799, usercpu_time_millis: 3.838, usercpu_time_millis_testing: 0.541, usercpu_time_millis_training: 3.297,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7577, f_measure: 0.6831, kappa: 0.1861, kb_relative_information_score: 67.2356, mean_absolute_error: 0.3488, mean_prior_absolute_error: 0.4091, number_of_instances: 583, precision: 0.6879, predictive_accuracy: 0.7221, prior_entropy: 0.8651, recall: 0.7221, relative_absolute_error: 0.8526, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.4136, root_relative_squared_error: 0.9149, scimark_benchmark: 1373.443, usercpu_time_millis: 2.063, usercpu_time_millis_testing: 0.222, usercpu_time_millis_training: 1.841,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7289, f_measure: 0.6676, kappa: 0.1477, kb_relative_information_score: 56.5442, mean_absolute_error: 0.3522, mean_prior_absolute_error: 0.4091, number_of_instances: 583, precision: 0.6625, predictive_accuracy: 0.7015, prior_entropy: 0.8651, recall: 0.7015, relative_absolute_error: 0.8608, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.4223, root_relative_squared_error: 0.9341, scimark_benchmark: 1372.2299, usercpu_time_millis: 5.465, usercpu_time_millis_testing: 0.358, usercpu_time_millis_training: 5.107,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7404, f_measure: 0.5943, kb_relative_information_score: 27.0212, mean_absolute_error: 0.3839, mean_prior_absolute_error: 0.4091, number_of_instances: 583, precision: 0.5092, predictive_accuracy: 0.7136, prior_entropy: 0.8651, recall: 0.7136, relative_absolute_error: 0.9383, root_mean_prior_squared_error: 0.4521, root_mean_squared_error: 0.4297, root_relative_squared_error: 0.9504, scimark_benchmark: 1377.7121, usercpu_time_millis: 0.627, usercpu_time_millis_testing: 0.131, usercpu_time_millis_training: 0.496,

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

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From your own software

Use one of our APIs to download data from OpenML and upload your results

OpenML APIs