OpenML
Supervised Classification on pc1_req

Supervised Classification on pc1_req

Task 4001 Supervised Classification pc1_req 494 runs submitted
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  • mythbusting_1 study_107 study_15 study_20 study_7 under100k under1m
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5815, f_measure: 0.6469, kappa: 0.1839, kb_relative_information_score: 77.3004, mean_absolute_error: 0.3219, mean_prior_absolute_error: 0.4455, number_of_instances: 320, precision: 0.6513, predictive_accuracy: 0.6781, prior_entropy: 0.9204, recall: 0.6781, relative_absolute_error: 0.7225, root_mean_prior_squared_error: 0.4718, root_mean_squared_error: 0.5673, root_relative_squared_error: 1.2026,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5559, f_measure: 0.6217, kappa: 0.1327, kb_relative_information_score: 74.9475, mean_absolute_error: 0.325, mean_prior_absolute_error: 0.4455, number_of_instances: 320, precision: 0.642, predictive_accuracy: 0.675, prior_entropy: 0.9204, recall: 0.675, relative_absolute_error: 0.7296, root_mean_prior_squared_error: 0.4718, root_mean_squared_error: 0.5701, root_relative_squared_error: 1.2084,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.532, kb_relative_information_score: 67.8889, mean_absolute_error: 0.3344, mean_prior_absolute_error: 0.4455, number_of_instances: 320, precision: 0.4431, predictive_accuracy: 0.6656, prior_entropy: 0.9204, recall: 0.6656, relative_absolute_error: 0.7506, root_mean_prior_squared_error: 0.4718, root_mean_squared_error: 0.5783, root_relative_squared_error: 1.2257,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5787, f_measure: 0.5623, kappa: 0.079, kb_relative_information_score: -18.2049, mean_absolute_error: 0.4447, mean_prior_absolute_error: 0.4455, number_of_instances: 320, precision: 0.5928, predictive_accuracy: 0.55, prior_entropy: 0.9204, recall: 0.55, relative_absolute_error: 0.9983, root_mean_prior_squared_error: 0.4718, root_mean_squared_error: 0.4928, root_relative_squared_error: 1.0445, scimark_benchmark: 1850.8887,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4853, f_measure: 0.532, kb_relative_information_score: -0.2717, mean_absolute_error: 0.4456, mean_prior_absolute_error: 0.4455, number_of_instances: 320, precision: 0.4431, predictive_accuracy: 0.6656, prior_entropy: 0.9204, recall: 0.6656, relative_absolute_error: 1.0002, root_mean_prior_squared_error: 0.4718, root_mean_squared_error: 0.4718, root_relative_squared_error: 1.0001, scimark_benchmark: 1850.8887,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5745, f_measure: 0.6411, kappa: 0.1723, kb_relative_information_score: 79.6533, mean_absolute_error: 0.3188, mean_prior_absolute_error: 0.4455, number_of_instances: 320, precision: 0.6534, predictive_accuracy: 0.6813, prior_entropy: 0.9204, recall: 0.6813, relative_absolute_error: 0.7155, root_mean_prior_squared_error: 0.4718, root_mean_squared_error: 0.5646, root_relative_squared_error: 1.1967, usercpu_time_millis: 368.355, usercpu_time_millis_testing: 7.219, usercpu_time_millis_training: 361.136,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5396, f_measure: 0.6015, kappa: 0.097, kb_relative_information_score: 72.5946, mean_absolute_error: 0.3281, mean_prior_absolute_error: 0.4455, number_of_instances: 320, precision: 0.635, predictive_accuracy: 0.6719, prior_entropy: 0.9204, recall: 0.6719, relative_absolute_error: 0.7366, root_mean_prior_squared_error: 0.4718, root_mean_squared_error: 0.5728, root_relative_squared_error: 1.2142, usercpu_time_millis: 17.285, usercpu_time_millis_testing: 0.44, usercpu_time_millis_training: 16.845,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5723, f_measure: 0.6378, kappa: 0.1752, kb_relative_information_score: 91.4177, mean_absolute_error: 0.3031, mean_prior_absolute_error: 0.4455, number_of_instances: 320, precision: 0.6863, predictive_accuracy: 0.6969, prior_entropy: 0.9204, recall: 0.6969, relative_absolute_error: 0.6805, root_mean_prior_squared_error: 0.4718, root_mean_squared_error: 0.5506, root_relative_squared_error: 1.167, usercpu_time_millis: 0.348, usercpu_time_millis_testing: 0.046, usercpu_time_millis_training: 0.302,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5489, f_measure: 0.6123, kappa: 0.1192, kb_relative_information_score: 77.3004, mean_absolute_error: 0.3219, mean_prior_absolute_error: 0.4455, number_of_instances: 320, precision: 0.6485, predictive_accuracy: 0.6781, prior_entropy: 0.9204, recall: 0.6781, relative_absolute_error: 0.7225, root_mean_prior_squared_error: 0.4718, root_mean_squared_error: 0.5673, root_relative_squared_error: 1.2026, usercpu_time_millis: 12.925, usercpu_time_millis_testing: 0.111, usercpu_time_millis_training: 12.814,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5628, f_measure: 0.6294, kappa: 0.1456, kb_relative_information_score: 72.5946, mean_absolute_error: 0.3281, mean_prior_absolute_error: 0.4455, number_of_instances: 320, precision: 0.6391, predictive_accuracy: 0.6719, prior_entropy: 0.9204, recall: 0.6719, relative_absolute_error: 0.7366, root_mean_prior_squared_error: 0.4718, root_mean_squared_error: 0.5728, root_relative_squared_error: 1.2142, usercpu_time_millis: 0.165, usercpu_time_millis_testing: 0.047, usercpu_time_millis_training: 0.118,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.584, f_measure: 0.6508, kappa: 0.1995, kb_relative_information_score: 93.7706, mean_absolute_error: 0.3, mean_prior_absolute_error: 0.4455, number_of_instances: 320, precision: 0.6857, predictive_accuracy: 0.7, prior_entropy: 0.9204, recall: 0.7, relative_absolute_error: 0.6734, root_mean_prior_squared_error: 0.4718, root_mean_squared_error: 0.5477, root_relative_squared_error: 1.161, usercpu_time_millis: 3.94, usercpu_time_millis_testing: 0.5, usercpu_time_millis_training: 3.44,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6002, f_measure: 0.6663, kappa: 0.2293, kb_relative_information_score: 93.7706, mean_absolute_error: 0.3, mean_prior_absolute_error: 0.4455, number_of_instances: 320, precision: 0.6805, predictive_accuracy: 0.7, prior_entropy: 0.9204, recall: 0.7, relative_absolute_error: 0.6734, root_mean_prior_squared_error: 0.4718, root_mean_squared_error: 0.5477, root_relative_squared_error: 1.161, usercpu_time_millis: 14.18, usercpu_time_millis_testing: 3.894, usercpu_time_millis_training: 10.286,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5373, f_measure: 0.5968, kappa: 0.0926, kb_relative_information_score: 74.9475, mean_absolute_error: 0.325, mean_prior_absolute_error: 0.4455, number_of_instances: 320, precision: 0.644, predictive_accuracy: 0.675, prior_entropy: 0.9204, recall: 0.675, relative_absolute_error: 0.7296, root_mean_prior_squared_error: 0.4718, root_mean_squared_error: 0.5701, root_relative_squared_error: 1.2084, usercpu_time_millis: 29.746, usercpu_time_millis_testing: 0.139, usercpu_time_millis_training: 29.607,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5723, f_measure: 0.6382, kappa: 0.1737, kb_relative_information_score: 89.0648, mean_absolute_error: 0.3063, mean_prior_absolute_error: 0.4455, number_of_instances: 320, precision: 0.6773, predictive_accuracy: 0.6938, prior_entropy: 0.9204, recall: 0.6938, relative_absolute_error: 0.6875, root_mean_prior_squared_error: 0.4718, root_mean_squared_error: 0.5534, root_relative_squared_error: 1.173, usercpu_time_millis: 2.442, usercpu_time_millis_testing: 0.26, usercpu_time_millis_training: 2.182,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.584, f_measure: 0.6506, kappa: 0.2012, kb_relative_information_score: 96.1234, mean_absolute_error: 0.2969, mean_prior_absolute_error: 0.4455, number_of_instances: 320, precision: 0.694, predictive_accuracy: 0.7031, prior_entropy: 0.9204, recall: 0.7031, relative_absolute_error: 0.6664, root_mean_prior_squared_error: 0.4718, root_mean_squared_error: 0.5449, root_relative_squared_error: 1.1549, usercpu_time_millis: 1.037, usercpu_time_millis_testing: 0.133, usercpu_time_millis_training: 0.904,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5699, f_measure: 0.6359, kappa: 0.1675, kb_relative_information_score: 86.7119, mean_absolute_error: 0.3094, mean_prior_absolute_error: 0.4455, number_of_instances: 320, precision: 0.6707, predictive_accuracy: 0.6906, prior_entropy: 0.9204, recall: 0.6906, relative_absolute_error: 0.6945, root_mean_prior_squared_error: 0.4718, root_mean_squared_error: 0.5562, root_relative_squared_error: 1.179, usercpu_time_millis: 5.383, usercpu_time_millis_testing: 0.04, usercpu_time_millis_training: 5.343,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5361, kappa: -0.0001, kb_relative_information_score: 65.536, mean_absolute_error: 0.3375, mean_prior_absolute_error: 0.4455, number_of_instances: 320, precision: 0.5545, predictive_accuracy: 0.6625, prior_entropy: 0.9204, recall: 0.6625, relative_absolute_error: 0.7576, root_mean_prior_squared_error: 0.4718, root_mean_squared_error: 0.5809, root_relative_squared_error: 1.2314, usercpu_time_millis: 1.371, usercpu_time_millis_testing: 0.512, usercpu_time_millis_training: 0.859,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5675, f_measure: 0.6341, kappa: 0.1574, kb_relative_information_score: 77.3004, mean_absolute_error: 0.3219, mean_prior_absolute_error: 0.4455, number_of_instances: 320, precision: 0.6481, predictive_accuracy: 0.6781, prior_entropy: 0.9204, recall: 0.6781, relative_absolute_error: 0.7225, root_mean_prior_squared_error: 0.4718, root_mean_squared_error: 0.5673, root_relative_squared_error: 1.2026, usercpu_time_millis: 1.778, usercpu_time_millis_testing: 0.649, usercpu_time_millis_training: 1.129,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5512, f_measure: 0.6171, kappa: 0.1209, kb_relative_information_score: 70.2418, mean_absolute_error: 0.3313, mean_prior_absolute_error: 0.4455, number_of_instances: 320, precision: 0.6317, predictive_accuracy: 0.6688, prior_entropy: 0.9204, recall: 0.6688, relative_absolute_error: 0.7436, root_mean_prior_squared_error: 0.4718, root_mean_squared_error: 0.5755, root_relative_squared_error: 1.22, usercpu_time_millis: 0.383, usercpu_time_millis_testing: 0.057, usercpu_time_millis_training: 0.326,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.532, kb_relative_information_score: 67.8889, mean_absolute_error: 0.3344, mean_prior_absolute_error: 0.4455, number_of_instances: 320, precision: 0.4431, predictive_accuracy: 0.6656, prior_entropy: 0.9204, recall: 0.6656, relative_absolute_error: 0.7506, root_mean_prior_squared_error: 0.4718, root_mean_squared_error: 0.5783, root_relative_squared_error: 1.2257, usercpu_time_millis: 0.215, usercpu_time_millis_testing: 0.137, usercpu_time_millis_training: 0.078,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5699, f_measure: 0.6359, kappa: 0.1675, kb_relative_information_score: 86.7119, mean_absolute_error: 0.3094, mean_prior_absolute_error: 0.4455, number_of_instances: 320, precision: 0.6707, predictive_accuracy: 0.6906, prior_entropy: 0.9204, recall: 0.6906, relative_absolute_error: 0.6945, root_mean_prior_squared_error: 0.4718, root_mean_squared_error: 0.5562, root_relative_squared_error: 1.179, usercpu_time_millis: 0.191, usercpu_time_millis_testing: 0.069, usercpu_time_millis_training: 0.122,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5956, f_measure: 0.6628, kappa: 0.2247, kb_relative_information_score: 98.4763, mean_absolute_error: 0.2938, mean_prior_absolute_error: 0.4455, number_of_instances: 320, precision: 0.6935, predictive_accuracy: 0.7063, prior_entropy: 0.9204, recall: 0.7063, relative_absolute_error: 0.6594, root_mean_prior_squared_error: 0.4718, root_mean_squared_error: 0.542, root_relative_squared_error: 1.1488, usercpu_time_millis: 0.18, usercpu_time_millis_testing: 0.17, usercpu_time_millis_training: 0.01,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5769, f_measure: 0.6435, kappa: 0.1828, kb_relative_information_score: 89.0648, mean_absolute_error: 0.3063, mean_prior_absolute_error: 0.4455, number_of_instances: 320, precision: 0.6748, predictive_accuracy: 0.6938, prior_entropy: 0.9204, recall: 0.6938, relative_absolute_error: 0.6875, root_mean_prior_squared_error: 0.4718, root_mean_squared_error: 0.5534, root_relative_squared_error: 1.173, usercpu_time_millis: 0.369, usercpu_time_millis_testing: 0.072, usercpu_time_millis_training: 0.297,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5325, f_measure: 0.5961, kappa: 0.0783, kb_relative_information_score: 63.1831, mean_absolute_error: 0.3406, mean_prior_absolute_error: 0.4455, number_of_instances: 320, precision: 0.6112, predictive_accuracy: 0.6594, prior_entropy: 0.9204, recall: 0.6594, relative_absolute_error: 0.7646, root_mean_prior_squared_error: 0.4718, root_mean_squared_error: 0.5836, root_relative_squared_error: 1.2371, usercpu_time_millis: 1.941, usercpu_time_millis_testing: 0.665, usercpu_time_millis_training: 1.276,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5676, f_measure: 0.6332, kappa: 0.1629, kb_relative_information_score: 86.7119, mean_absolute_error: 0.3094, mean_prior_absolute_error: 0.4455, number_of_instances: 320, precision: 0.672, predictive_accuracy: 0.6906, prior_entropy: 0.9204, recall: 0.6906, relative_absolute_error: 0.6945, root_mean_prior_squared_error: 0.4718, root_mean_squared_error: 0.5562, root_relative_squared_error: 1.179, usercpu_time_millis: 65.871, usercpu_time_millis_testing: 4.152, usercpu_time_millis_training: 61.719,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5907, f_measure: 0.6523, kappa: 0.1976, kb_relative_information_score: 72.5946, mean_absolute_error: 0.3281, mean_prior_absolute_error: 0.4455, number_of_instances: 320, precision: 0.6496, predictive_accuracy: 0.6719, prior_entropy: 0.9204, recall: 0.6719, relative_absolute_error: 0.7366, root_mean_prior_squared_error: 0.4718, root_mean_squared_error: 0.5728, root_relative_squared_error: 1.2142, usercpu_time_millis: 2.441, usercpu_time_millis_testing: 0.814, usercpu_time_millis_training: 1.627,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5675, f_measure: 0.6341, kappa: 0.1574, kb_relative_information_score: 77.3004, mean_absolute_error: 0.3219, mean_prior_absolute_error: 0.4455, number_of_instances: 320, precision: 0.6481, predictive_accuracy: 0.6781, prior_entropy: 0.9204, recall: 0.6781, relative_absolute_error: 0.7225, root_mean_prior_squared_error: 0.4718, root_mean_squared_error: 0.5673, root_relative_squared_error: 1.2026, usercpu_time_millis: 2.675, usercpu_time_millis_testing: 0.96, usercpu_time_millis_training: 1.715,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5747, f_measure: 0.6401, kappa: 0.1814, kb_relative_information_score: 93.7706, mean_absolute_error: 0.3, mean_prior_absolute_error: 0.4455, number_of_instances: 320, precision: 0.6941, predictive_accuracy: 0.7, prior_entropy: 0.9204, recall: 0.7, relative_absolute_error: 0.6734, root_mean_prior_squared_error: 0.4718, root_mean_squared_error: 0.5477, root_relative_squared_error: 1.161, usercpu_time_millis: 0.49, usercpu_time_millis_testing: 0.255, usercpu_time_millis_training: 0.235,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.535, f_measure: 0.5914, kappa: 0.0882, kb_relative_information_score: 77.3004, mean_absolute_error: 0.3219, mean_prior_absolute_error: 0.4455, number_of_instances: 320, precision: 0.6584, predictive_accuracy: 0.6781, prior_entropy: 0.9204, recall: 0.6781, relative_absolute_error: 0.7225, root_mean_prior_squared_error: 0.4718, root_mean_squared_error: 0.5673, root_relative_squared_error: 1.2026, usercpu_time_millis: 14.678, usercpu_time_millis_testing: 1.531, usercpu_time_millis_training: 13.147,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.532, kb_relative_information_score: 67.8889, mean_absolute_error: 0.3344, mean_prior_absolute_error: 0.4455, number_of_instances: 320, precision: 0.4431, predictive_accuracy: 0.6656, prior_entropy: 0.9204, recall: 0.6656, relative_absolute_error: 0.7506, root_mean_prior_squared_error: 0.4718, root_mean_squared_error: 0.5783, root_relative_squared_error: 1.2257, usercpu_time_millis: 0.388, usercpu_time_millis_testing: 0.042, usercpu_time_millis_training: 0.346,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.507, f_measure: 0.5515, kappa: 0.018, kb_relative_information_score: 65.536, mean_absolute_error: 0.3375, mean_prior_absolute_error: 0.4455, number_of_instances: 320, precision: 0.5938, predictive_accuracy: 0.6625, prior_entropy: 0.9204, recall: 0.6625, relative_absolute_error: 0.7576, root_mean_prior_squared_error: 0.4718, root_mean_squared_error: 0.5809, root_relative_squared_error: 1.2314, usercpu_time_millis: 0.541, usercpu_time_millis_testing: 0.1, usercpu_time_millis_training: 0.441,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5676, f_measure: 0.6336, kappa: 0.1615, kb_relative_information_score: 84.359, mean_absolute_error: 0.3125, mean_prior_absolute_error: 0.4455, number_of_instances: 320, precision: 0.6645, predictive_accuracy: 0.6875, prior_entropy: 0.9204, recall: 0.6875, relative_absolute_error: 0.7015, root_mean_prior_squared_error: 0.4718, root_mean_squared_error: 0.559, root_relative_squared_error: 1.1849, usercpu_time_millis: 15.109, usercpu_time_millis_testing: 2.293, usercpu_time_millis_training: 12.816,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5933, f_measure: 0.6605, kappa: 0.2204, kb_relative_information_score: 98.4763, mean_absolute_error: 0.2938, mean_prior_absolute_error: 0.4455, number_of_instances: 320, precision: 0.695, predictive_accuracy: 0.7063, prior_entropy: 0.9204, recall: 0.7063, relative_absolute_error: 0.6594, root_mean_prior_squared_error: 0.4718, root_mean_squared_error: 0.542, root_relative_squared_error: 1.1488, usercpu_time_millis: 1.829, usercpu_time_millis_testing: 0.246, usercpu_time_millis_training: 1.583,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4853, f_measure: 0.532, kb_relative_information_score: 0.1059, mean_absolute_error: 0.4452, mean_prior_absolute_error: 0.4455, number_of_instances: 320, precision: 0.4431, predictive_accuracy: 0.6656, prior_entropy: 0.9204, recall: 0.6656, relative_absolute_error: 0.9993, root_mean_prior_squared_error: 0.4718, root_mean_squared_error: 0.4718, root_relative_squared_error: 1.0001, scimark_benchmark: 906.0979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6282, f_measure: 0.629, kappa: 0.1494, kb_relative_information_score: -4.1696, mean_absolute_error: 0.4386, mean_prior_absolute_error: 0.4455, number_of_instances: 320, precision: 0.6529, predictive_accuracy: 0.6813, prior_entropy: 0.9204, recall: 0.6813, relative_absolute_error: 0.9846, root_mean_prior_squared_error: 0.4718, root_mean_squared_error: 0.4627, root_relative_squared_error: 0.9807, scimark_benchmark: 972.587, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5361, f_measure: 0.6247, kappa: 0.1352, kb_relative_information_score: 17.8105, mean_absolute_error: 0.422, mean_prior_absolute_error: 0.4455, number_of_instances: 320, precision: 0.634, predictive_accuracy: 0.6688, prior_entropy: 0.9204, recall: 0.6688, relative_absolute_error: 0.9472, root_mean_prior_squared_error: 0.4718, root_mean_squared_error: 0.4842, root_relative_squared_error: 1.0264,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5361, f_measure: 0.6247, kappa: 0.1352, kb_relative_information_score: 17.8105, mean_absolute_error: 0.422, mean_prior_absolute_error: 0.4455, number_of_instances: 320, precision: 0.634, predictive_accuracy: 0.6688, prior_entropy: 0.9204, recall: 0.6688, relative_absolute_error: 0.9472, root_mean_prior_squared_error: 0.4718, root_mean_squared_error: 0.4842, root_relative_squared_error: 1.0264,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5361, f_measure: 0.6247, kappa: 0.1352, kb_relative_information_score: 17.8105, mean_absolute_error: 0.422, mean_prior_absolute_error: 0.4455, number_of_instances: 320, precision: 0.634, predictive_accuracy: 0.6688, prior_entropy: 0.9204, recall: 0.6688, relative_absolute_error: 0.9472, root_mean_prior_squared_error: 0.4718, root_mean_squared_error: 0.4842, root_relative_squared_error: 1.0264,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5361, f_measure: 0.6247, kappa: 0.1352, kb_relative_information_score: 17.8105, mean_absolute_error: 0.422, mean_prior_absolute_error: 0.4455, number_of_instances: 320, precision: 0.634, predictive_accuracy: 0.6688, prior_entropy: 0.9204, recall: 0.6688, relative_absolute_error: 0.9472, root_mean_prior_squared_error: 0.4718, root_mean_squared_error: 0.4842, root_relative_squared_error: 1.0264,
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable).
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6259, f_measure: 0.6341, kappa: 0.1574, kb_relative_information_score: 20.1897, mean_absolute_error: 0.4133, mean_prior_absolute_error: 0.4455, number_of_instances: 320, precision: 0.6481, predictive_accuracy: 0.6781, prior_entropy: 0.9204, recall: 0.6781, relative_absolute_error: 0.9277, root_mean_prior_squared_error: 0.4718, root_mean_squared_error: 0.4688, root_relative_squared_error: 0.9938, scimark_benchmark: 931.4089,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5256, f_measure: 0.5794, kappa: 0.065, kb_relative_information_score: 72.5946, mean_absolute_error: 0.3281, mean_prior_absolute_error: 0.4455, number_of_instances: 320, precision: 0.6391, predictive_accuracy: 0.6719, prior_entropy: 0.9204, recall: 0.6719, relative_absolute_error: 0.7366, root_mean_prior_squared_error: 0.4718, root_mean_squared_error: 0.5728, root_relative_squared_error: 1.2142, scimark_benchmark: 904.6764, usercpu_time_millis: 30, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5256, f_measure: 0.5794, kappa: 0.065, kb_relative_information_score: 72.5946, mean_absolute_error: 0.3281, mean_prior_absolute_error: 0.4455, number_of_instances: 320, precision: 0.6391, predictive_accuracy: 0.6719, prior_entropy: 0.9204, recall: 0.6719, relative_absolute_error: 0.7366, root_mean_prior_squared_error: 0.4718, root_mean_squared_error: 0.5728, root_relative_squared_error: 1.2142, scimark_benchmark: 916.0735, usercpu_time_millis: 50, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4558, f_measure: 0.5305, kappa: -0.0062, kb_relative_information_score: -4.8081, mean_absolute_error: 0.45, mean_prior_absolute_error: 0.4455, number_of_instances: 320, precision: 0.4424, predictive_accuracy: 0.6625, prior_entropy: 0.9204, recall: 0.6625, relative_absolute_error: 1.0101, root_mean_prior_squared_error: 0.4718, root_mean_squared_error: 0.4781, root_relative_squared_error: 1.0133, scimark_benchmark: 941.6675,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4558, f_measure: 0.5305, kappa: -0.0062, kb_relative_information_score: -4.8081, mean_absolute_error: 0.45, mean_prior_absolute_error: 0.4455, number_of_instances: 320, precision: 0.4424, predictive_accuracy: 0.6625, prior_entropy: 0.9204, recall: 0.6625, relative_absolute_error: 1.0101, root_mean_prior_squared_error: 0.4718, root_mean_squared_error: 0.4781, root_relative_squared_error: 1.0133, scimark_benchmark: 938.191,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6139, f_measure: 0.6274, kappa: 0.1534, kb_relative_information_score: 22.9756, mean_absolute_error: 0.4133, mean_prior_absolute_error: 0.4455, number_of_instances: 320, precision: 0.6754, predictive_accuracy: 0.6906, prior_entropy: 0.9204, recall: 0.6906, relative_absolute_error: 0.9278, root_mean_prior_squared_error: 0.4718, root_mean_squared_error: 0.4604, root_relative_squared_error: 0.976, scimark_benchmark: 941.6675, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5768, f_measure: 0.6286, kappa: 0.1507, kb_relative_information_score: 20.2337, mean_absolute_error: 0.4135, mean_prior_absolute_error: 0.4455, number_of_instances: 320, precision: 0.6591, predictive_accuracy: 0.6844, prior_entropy: 0.9204, recall: 0.6844, relative_absolute_error: 0.9282, root_mean_prior_squared_error: 0.4718, root_mean_squared_error: 0.4649, root_relative_squared_error: 0.9855, scimark_benchmark: 942.2392,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4558, f_measure: 0.5305, kappa: -0.0062, kb_relative_information_score: -4.8081, mean_absolute_error: 0.45, mean_prior_absolute_error: 0.4455, number_of_instances: 320, precision: 0.4424, predictive_accuracy: 0.6625, prior_entropy: 0.9204, recall: 0.6625, relative_absolute_error: 1.0101, root_mean_prior_squared_error: 0.4718, root_mean_squared_error: 0.4781, root_relative_squared_error: 1.0133, scimark_benchmark: 905.2959,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5256, f_measure: 0.5794, kappa: 0.065, kb_relative_information_score: 72.5946, mean_absolute_error: 0.3281, mean_prior_absolute_error: 0.4455, number_of_instances: 320, precision: 0.6391, predictive_accuracy: 0.6719, prior_entropy: 0.9204, recall: 0.6719, relative_absolute_error: 0.7366, root_mean_prior_squared_error: 0.4718, root_mean_squared_error: 0.5728, root_relative_squared_error: 1.2142, scimark_benchmark: 947.1781, usercpu_time_millis: 30, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5779, f_measure: 0.6478, kappa: 0.187, kb_relative_information_score: 22.7552, mean_absolute_error: 0.4069, mean_prior_absolute_error: 0.4455, number_of_instances: 320, precision: 0.6584, predictive_accuracy: 0.6844, prior_entropy: 0.9204, recall: 0.6844, relative_absolute_error: 0.9134, root_mean_prior_squared_error: 0.4718, root_mean_squared_error: 0.4869, root_relative_squared_error: 1.032, scimark_benchmark: 947.1781, usercpu_time_millis: 110, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 90,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4853, f_measure: 0.532, kb_relative_information_score: 0.1059, mean_absolute_error: 0.4452, mean_prior_absolute_error: 0.4455, number_of_instances: 320, precision: 0.4431, predictive_accuracy: 0.6656, prior_entropy: 0.9204, recall: 0.6656, relative_absolute_error: 0.9993, root_mean_prior_squared_error: 0.4718, root_mean_squared_error: 0.4718, root_relative_squared_error: 1.0001, scimark_benchmark: 942.2392,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6282, f_measure: 0.629, kappa: 0.1494, kb_relative_information_score: -4.1696, mean_absolute_error: 0.4386, mean_prior_absolute_error: 0.4455, number_of_instances: 320, precision: 0.6529, predictive_accuracy: 0.6813, prior_entropy: 0.9204, recall: 0.6813, relative_absolute_error: 0.9846, root_mean_prior_squared_error: 0.4718, root_mean_squared_error: 0.4627, root_relative_squared_error: 0.9807, scimark_benchmark: 908.9569, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6259, f_measure: 0.6341, kappa: 0.1574, kb_relative_information_score: 20.1897, mean_absolute_error: 0.4133, mean_prior_absolute_error: 0.4455, number_of_instances: 320, precision: 0.6481, predictive_accuracy: 0.6781, prior_entropy: 0.9204, recall: 0.6781, relative_absolute_error: 0.9277, root_mean_prior_squared_error: 0.4718, root_mean_squared_error: 0.4688, root_relative_squared_error: 0.9938, scimark_benchmark: 935.2002, usercpu_time_millis: 50, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5256, f_measure: 0.5794, kappa: 0.065, kb_relative_information_score: 72.5946, mean_absolute_error: 0.3281, mean_prior_absolute_error: 0.4455, number_of_instances: 320, precision: 0.6391, predictive_accuracy: 0.6719, prior_entropy: 0.9204, recall: 0.6719, relative_absolute_error: 0.7366, root_mean_prior_squared_error: 0.4718, root_mean_squared_error: 0.5728, root_relative_squared_error: 1.2142, scimark_benchmark: 908.9569, usercpu_time_millis: 40, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5256, f_measure: 0.5794, kappa: 0.065, kb_relative_information_score: 72.5946, mean_absolute_error: 0.3281, mean_prior_absolute_error: 0.4455, number_of_instances: 320, precision: 0.6391, predictive_accuracy: 0.6719, prior_entropy: 0.9204, recall: 0.6719, relative_absolute_error: 0.7366, root_mean_prior_squared_error: 0.4718, root_mean_squared_error: 0.5728, root_relative_squared_error: 1.2142, scimark_benchmark: 930.404, usercpu_time_millis: 30, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4558, f_measure: 0.5305, kappa: -0.0062, kb_relative_information_score: -4.8081, mean_absolute_error: 0.45, mean_prior_absolute_error: 0.4455, number_of_instances: 320, precision: 0.4424, predictive_accuracy: 0.6625, prior_entropy: 0.9204, recall: 0.6625, relative_absolute_error: 1.0101, root_mean_prior_squared_error: 0.4718, root_mean_squared_error: 0.4781, root_relative_squared_error: 1.0133, scimark_benchmark: 930.404,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4558, f_measure: 0.5305, kappa: -0.0062, kb_relative_information_score: -4.8081, mean_absolute_error: 0.45, mean_prior_absolute_error: 0.4455, number_of_instances: 320, precision: 0.4424, predictive_accuracy: 0.6625, prior_entropy: 0.9204, recall: 0.6625, relative_absolute_error: 1.0101, root_mean_prior_squared_error: 0.4718, root_mean_squared_error: 0.4781, root_relative_squared_error: 1.0133, scimark_benchmark: 903.2737, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4558, f_measure: 0.5305, kappa: -0.0062, kb_relative_information_score: -4.8081, mean_absolute_error: 0.45, mean_prior_absolute_error: 0.4455, number_of_instances: 320, precision: 0.4424, predictive_accuracy: 0.6625, prior_entropy: 0.9204, recall: 0.6625, relative_absolute_error: 1.0101, root_mean_prior_squared_error: 0.4718, root_mean_squared_error: 0.4781, root_relative_squared_error: 1.0133, scimark_benchmark: 903.2737,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4558, f_measure: 0.5305, kappa: -0.0062, kb_relative_information_score: -4.8081, mean_absolute_error: 0.45, mean_prior_absolute_error: 0.4455, number_of_instances: 320, precision: 0.4424, predictive_accuracy: 0.6625, prior_entropy: 0.9204, recall: 0.6625, relative_absolute_error: 1.0101, root_mean_prior_squared_error: 0.4718, root_mean_squared_error: 0.4781, root_relative_squared_error: 1.0133, scimark_benchmark: 930.404,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6139, f_measure: 0.6274, kappa: 0.1534, kb_relative_information_score: 22.9756, mean_absolute_error: 0.4133, mean_prior_absolute_error: 0.4455, number_of_instances: 320, precision: 0.6754, predictive_accuracy: 0.6906, prior_entropy: 0.9204, recall: 0.6906, relative_absolute_error: 0.9278, root_mean_prior_squared_error: 0.4718, root_mean_squared_error: 0.4604, root_relative_squared_error: 0.976, scimark_benchmark: 930.404, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5768, f_measure: 0.6286, kappa: 0.1507, kb_relative_information_score: 20.2337, mean_absolute_error: 0.4135, mean_prior_absolute_error: 0.4455, number_of_instances: 320, precision: 0.6591, predictive_accuracy: 0.6844, prior_entropy: 0.9204, recall: 0.6844, relative_absolute_error: 0.9282, root_mean_prior_squared_error: 0.4718, root_mean_squared_error: 0.4649, root_relative_squared_error: 0.9855, scimark_benchmark: 920.2531, usercpu_time_millis: 420, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 400,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4558, f_measure: 0.5305, kappa: -0.0062, kb_relative_information_score: -4.8081, mean_absolute_error: 0.45, mean_prior_absolute_error: 0.4455, number_of_instances: 320, precision: 0.4424, predictive_accuracy: 0.6625, prior_entropy: 0.9204, recall: 0.6625, relative_absolute_error: 1.0101, root_mean_prior_squared_error: 0.4718, root_mean_squared_error: 0.4781, root_relative_squared_error: 1.0133, scimark_benchmark: 945.6228,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4558, f_measure: 0.5305, kappa: -0.0062, kb_relative_information_score: -3.6695, mean_absolute_error: 0.4486, mean_prior_absolute_error: 0.4455, number_of_instances: 320, precision: 0.4424, predictive_accuracy: 0.6625, prior_entropy: 0.9204, recall: 0.6625, relative_absolute_error: 1.007, root_mean_prior_squared_error: 0.4718, root_mean_squared_error: 0.4767, root_relative_squared_error: 1.0105, scimark_benchmark: 932.438, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5779, f_measure: 0.6478, kappa: 0.187, kb_relative_information_score: 22.7552, mean_absolute_error: 0.4069, mean_prior_absolute_error: 0.4455, number_of_instances: 320, precision: 0.6584, predictive_accuracy: 0.6844, prior_entropy: 0.9204, recall: 0.6844, relative_absolute_error: 0.9134, root_mean_prior_squared_error: 0.4718, root_mean_squared_error: 0.4869, root_relative_squared_error: 1.032, scimark_benchmark: 730.6551, usercpu_time_millis: 120, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.611, f_measure: 0.6484, kappa: 0.1933, kb_relative_information_score: 23.6183, mean_absolute_error: 0.4159, mean_prior_absolute_error: 0.4455, number_of_instances: 320, precision: 0.6797, predictive_accuracy: 0.6969, prior_entropy: 0.9204, recall: 0.6969, relative_absolute_error: 0.9336, root_mean_prior_squared_error: 0.4718, root_mean_squared_error: 0.4597, root_relative_squared_error: 0.9744, scimark_benchmark: 901.6243, usercpu_time_millis: 1090, usercpu_time_millis_testing: 380, usercpu_time_millis_training: 710,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6092, f_measure: 0.6532, kappa: 0.2056, kb_relative_information_score: 24.3802, mean_absolute_error: 0.4155, mean_prior_absolute_error: 0.4455, number_of_instances: 320, precision: 0.6921, predictive_accuracy: 0.7031, prior_entropy: 0.9204, recall: 0.7031, relative_absolute_error: 0.9326, root_mean_prior_squared_error: 0.4718, root_mean_squared_error: 0.4591, root_relative_squared_error: 0.9732, scimark_benchmark: 941.7976, usercpu_time_millis: 500, usercpu_time_millis_testing: 140, usercpu_time_millis_training: 360,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5999, f_measure: 0.6336, kappa: 0.1615, kb_relative_information_score: 22.7943, mean_absolute_error: 0.4177, mean_prior_absolute_error: 0.4455, number_of_instances: 320, precision: 0.6645, predictive_accuracy: 0.6875, prior_entropy: 0.9204, recall: 0.6875, relative_absolute_error: 0.9376, root_mean_prior_squared_error: 0.4718, root_mean_squared_error: 0.4605, root_relative_squared_error: 0.976, scimark_benchmark: 938.3401, usercpu_time_millis: 270, usercpu_time_millis_testing: 80, usercpu_time_millis_training: 190,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6323, f_measure: 0.6532, kappa: 0.2056, kb_relative_information_score: 23.8794, mean_absolute_error: 0.4154, mean_prior_absolute_error: 0.4455, number_of_instances: 320, precision: 0.6921, predictive_accuracy: 0.7031, prior_entropy: 0.9204, recall: 0.7031, relative_absolute_error: 0.9325, root_mean_prior_squared_error: 0.4718, root_mean_squared_error: 0.4578, root_relative_squared_error: 0.9705, scimark_benchmark: 930.0399, usercpu_time_millis: 140, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 90,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5874, f_measure: 0.6433, kappa: 0.1844, kb_relative_information_score: 23.0919, mean_absolute_error: 0.4165, mean_prior_absolute_error: 0.4455, number_of_instances: 320, precision: 0.6824, predictive_accuracy: 0.6969, prior_entropy: 0.9204, recall: 0.6969, relative_absolute_error: 0.9349, root_mean_prior_squared_error: 0.4718, root_mean_squared_error: 0.4621, root_relative_squared_error: 0.9795, scimark_benchmark: 889.4922, usercpu_time_millis: 70, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.617, f_measure: 0.6189, kappa: 0.1279, kb_relative_information_score: 19.7441, mean_absolute_error: 0.4118, mean_prior_absolute_error: 0.4455, number_of_instances: 320, precision: 0.6417, predictive_accuracy: 0.675, prior_entropy: 0.9204, recall: 0.675, relative_absolute_error: 0.9243, root_mean_prior_squared_error: 0.4718, root_mean_squared_error: 0.4662, root_relative_squared_error: 0.9882, scimark_benchmark: 936.1714,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.617, f_measure: 0.6189, kappa: 0.1279, kb_relative_information_score: 19.7441, mean_absolute_error: 0.4118, mean_prior_absolute_error: 0.4455, number_of_instances: 320, precision: 0.6417, predictive_accuracy: 0.675, prior_entropy: 0.9204, recall: 0.675, relative_absolute_error: 0.9243, root_mean_prior_squared_error: 0.4718, root_mean_squared_error: 0.4662, root_relative_squared_error: 0.9882, scimark_benchmark: 935.6052,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.617, f_measure: 0.6189, kappa: 0.1279, kb_relative_information_score: 19.7441, mean_absolute_error: 0.4118, mean_prior_absolute_error: 0.4455, number_of_instances: 320, precision: 0.6417, predictive_accuracy: 0.675, prior_entropy: 0.9204, recall: 0.675, relative_absolute_error: 0.9243, root_mean_prior_squared_error: 0.4718, root_mean_squared_error: 0.4662, root_relative_squared_error: 0.9882, scimark_benchmark: 936.7184, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6171, f_measure: 0.6189, kappa: 0.1279, kb_relative_information_score: 19.5305, mean_absolute_error: 0.4122, mean_prior_absolute_error: 0.4455, number_of_instances: 320, precision: 0.6417, predictive_accuracy: 0.675, prior_entropy: 0.9204, recall: 0.675, relative_absolute_error: 0.9252, root_mean_prior_squared_error: 0.4718, root_mean_squared_error: 0.4668, root_relative_squared_error: 0.9894, scimark_benchmark: 926.5859, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6165, f_measure: 0.6161, kappa: 0.1231, kb_relative_information_score: 18.1708, mean_absolute_error: 0.4143, mean_prior_absolute_error: 0.4455, number_of_instances: 320, precision: 0.6416, predictive_accuracy: 0.675, prior_entropy: 0.9204, recall: 0.675, relative_absolute_error: 0.9301, root_mean_prior_squared_error: 0.4718, root_mean_squared_error: 0.4651, root_relative_squared_error: 0.9858, scimark_benchmark: 894.7131,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4853, f_measure: 0.532, kb_relative_information_score: -0.2717, mean_absolute_error: 0.4456, mean_prior_absolute_error: 0.4455, number_of_instances: 320, precision: 0.4431, predictive_accuracy: 0.6656, prior_entropy: 0.9204, recall: 0.6656, relative_absolute_error: 1.0002, root_mean_prior_squared_error: 0.4718, root_mean_squared_error: 0.4718, root_relative_squared_error: 1.0001, scimark_benchmark: 929.0296,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6424, f_measure: 0.6157, kappa: 0.1326, kb_relative_information_score: 71.1311, mean_absolute_error: 0.3349, mean_prior_absolute_error: 0.4455, number_of_instances: 320, precision: 0.6743, predictive_accuracy: 0.6875, prior_entropy: 0.9204, recall: 0.6875, relative_absolute_error: 0.7517, root_mean_prior_squared_error: 0.4718, root_mean_squared_error: 0.5085, root_relative_squared_error: 1.0778, scimark_benchmark: 938.3115, usercpu_time_millis: 80, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6136, f_measure: 0.6024, kappa: 0.104, kb_relative_information_score: 69.3561, mean_absolute_error: 0.3394, mean_prior_absolute_error: 0.4455, number_of_instances: 320, precision: 0.6515, predictive_accuracy: 0.6781, prior_entropy: 0.9204, recall: 0.6781, relative_absolute_error: 0.7619, root_mean_prior_squared_error: 0.4718, root_mean_squared_error: 0.5107, root_relative_squared_error: 1.0826, scimark_benchmark: 936.1714, usercpu_time_millis: 50, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6095, f_measure: 0.5752, kappa: 0.0595, kb_relative_information_score: 65.1047, mean_absolute_error: 0.3436, mean_prior_absolute_error: 0.4455, number_of_instances: 320, precision: 0.6413, predictive_accuracy: 0.6719, prior_entropy: 0.9204, recall: 0.6719, relative_absolute_error: 0.7713, root_mean_prior_squared_error: 0.4718, root_mean_squared_error: 0.52, root_relative_squared_error: 1.1023, scimark_benchmark: 938.3115, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5757, f_measure: 0.5695, kappa: 0.0411, kb_relative_information_score: 55.9661, mean_absolute_error: 0.358, mean_prior_absolute_error: 0.4455, number_of_instances: 320, precision: 0.6055, predictive_accuracy: 0.6625, prior_entropy: 0.9204, recall: 0.6625, relative_absolute_error: 0.8036, root_mean_prior_squared_error: 0.4718, root_mean_squared_error: 0.5164, root_relative_squared_error: 1.0946, scimark_benchmark: 935.6052, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5452, f_measure: 0.5545, kappa: 0.0178, kb_relative_information_score: 48.8079, mean_absolute_error: 0.3651, mean_prior_absolute_error: 0.4455, number_of_instances: 320, precision: 0.5845, predictive_accuracy: 0.6594, prior_entropy: 0.9204, recall: 0.6594, relative_absolute_error: 0.8195, root_mean_prior_squared_error: 0.4718, root_mean_squared_error: 0.5371, root_relative_squared_error: 1.1386, scimark_benchmark: 935.6052, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.532, kb_relative_information_score: 67.8889, mean_absolute_error: 0.3344, mean_prior_absolute_error: 0.4455, number_of_instances: 320, precision: 0.4431, predictive_accuracy: 0.6656, prior_entropy: 0.9204, recall: 0.6656, relative_absolute_error: 0.7506, root_mean_prior_squared_error: 0.4718, root_mean_squared_error: 0.5783, root_relative_squared_error: 1.2257, scimark_benchmark: 941.9549,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5867, f_measure: 0.6341, kappa: 0.1574, kb_relative_information_score: 20.3498, mean_absolute_error: 0.4169, mean_prior_absolute_error: 0.4455, number_of_instances: 320, precision: 0.6481, predictive_accuracy: 0.6781, prior_entropy: 0.9204, recall: 0.6781, relative_absolute_error: 0.9359, root_mean_prior_squared_error: 0.4718, root_mean_squared_error: 0.4794, root_relative_squared_error: 1.0161, scimark_benchmark: 896.741,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6042, f_measure: 0.6483, kappa: 0.1901, kb_relative_information_score: 8.1374, mean_absolute_error: 0.4339, mean_prior_absolute_error: 0.4455, number_of_instances: 320, precision: 0.6675, predictive_accuracy: 0.6906, prior_entropy: 0.9204, recall: 0.6906, relative_absolute_error: 0.9741, root_mean_prior_squared_error: 0.4718, root_mean_squared_error: 0.4617, root_relative_squared_error: 0.9786, scimark_benchmark: 924.4107, usercpu_time_millis: 300, usercpu_time_millis_training: 300,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.542, f_measure: 0.5532, kappa: 0.0242, kb_relative_information_score: 2.9038, mean_absolute_error: 0.4364, mean_prior_absolute_error: 0.4455, number_of_instances: 320, precision: 0.6131, predictive_accuracy: 0.6656, prior_entropy: 0.9204, recall: 0.6656, relative_absolute_error: 0.9796, root_mean_prior_squared_error: 0.4718, root_mean_squared_error: 0.4689, root_relative_squared_error: 0.9939, scimark_benchmark: 933.0918,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4853, f_measure: 0.532, kb_relative_information_score: 0.1059, mean_absolute_error: 0.4452, mean_prior_absolute_error: 0.4455, number_of_instances: 320, precision: 0.4431, predictive_accuracy: 0.6656, prior_entropy: 0.9204, recall: 0.6656, relative_absolute_error: 0.9993, root_mean_prior_squared_error: 0.4718, root_mean_squared_error: 0.4718, root_relative_squared_error: 1.0001, scimark_benchmark: 899.1108,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6282, f_measure: 0.629, kappa: 0.1494, kb_relative_information_score: -4.1696, mean_absolute_error: 0.4386, mean_prior_absolute_error: 0.4455, number_of_instances: 320, precision: 0.6529, predictive_accuracy: 0.6813, prior_entropy: 0.9204, recall: 0.6813, relative_absolute_error: 0.9846, root_mean_prior_squared_error: 0.4718, root_mean_squared_error: 0.4627, root_relative_squared_error: 0.9807, scimark_benchmark: 933.0918, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6259, f_measure: 0.6341, kappa: 0.1574, kb_relative_information_score: 20.1897, mean_absolute_error: 0.4133, mean_prior_absolute_error: 0.4455, number_of_instances: 320, precision: 0.6481, predictive_accuracy: 0.6781, prior_entropy: 0.9204, recall: 0.6781, relative_absolute_error: 0.9277, root_mean_prior_squared_error: 0.4718, root_mean_squared_error: 0.4688, root_relative_squared_error: 0.9938, scimark_benchmark: 936.0171, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5256, f_measure: 0.5794, kappa: 0.065, kb_relative_information_score: 72.5946, mean_absolute_error: 0.3281, mean_prior_absolute_error: 0.4455, number_of_instances: 320, precision: 0.6391, predictive_accuracy: 0.6719, prior_entropy: 0.9204, recall: 0.6719, relative_absolute_error: 0.7366, root_mean_prior_squared_error: 0.4718, root_mean_squared_error: 0.5728, root_relative_squared_error: 1.2142, scimark_benchmark: 939.3886, usercpu_time_millis: 30, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5256, f_measure: 0.5794, kappa: 0.065, kb_relative_information_score: 72.5946, mean_absolute_error: 0.3281, mean_prior_absolute_error: 0.4455, number_of_instances: 320, precision: 0.6391, predictive_accuracy: 0.6719, prior_entropy: 0.9204, recall: 0.6719, relative_absolute_error: 0.7366, root_mean_prior_squared_error: 0.4718, root_mean_squared_error: 0.5728, root_relative_squared_error: 1.2142, scimark_benchmark: 952.4682, usercpu_time_millis: 40, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4558, f_measure: 0.5305, kappa: -0.0062, kb_relative_information_score: -4.8081, mean_absolute_error: 0.45, mean_prior_absolute_error: 0.4455, number_of_instances: 320, precision: 0.4424, predictive_accuracy: 0.6625, prior_entropy: 0.9204, recall: 0.6625, relative_absolute_error: 1.0101, root_mean_prior_squared_error: 0.4718, root_mean_squared_error: 0.4781, root_relative_squared_error: 1.0133, scimark_benchmark: 945.0194,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4558, f_measure: 0.5305, kappa: -0.0062, kb_relative_information_score: -4.8081, mean_absolute_error: 0.45, mean_prior_absolute_error: 0.4455, number_of_instances: 320, precision: 0.4424, predictive_accuracy: 0.6625, prior_entropy: 0.9204, recall: 0.6625, relative_absolute_error: 1.0101, root_mean_prior_squared_error: 0.4718, root_mean_squared_error: 0.4781, root_relative_squared_error: 1.0133, scimark_benchmark: 938.838,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6139, f_measure: 0.6274, kappa: 0.1534, kb_relative_information_score: 22.9756, mean_absolute_error: 0.4133, mean_prior_absolute_error: 0.4455, number_of_instances: 320, precision: 0.6754, predictive_accuracy: 0.6906, prior_entropy: 0.9204, recall: 0.6906, relative_absolute_error: 0.9278, root_mean_prior_squared_error: 0.4718, root_mean_squared_error: 0.4604, root_relative_squared_error: 0.976, scimark_benchmark: 935.627, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5768, f_measure: 0.6286, kappa: 0.1507, kb_relative_information_score: 20.2337, mean_absolute_error: 0.4135, mean_prior_absolute_error: 0.4455, number_of_instances: 320, precision: 0.6591, predictive_accuracy: 0.6844, prior_entropy: 0.9204, recall: 0.6844, relative_absolute_error: 0.9282, root_mean_prior_squared_error: 0.4718, root_mean_squared_error: 0.4649, root_relative_squared_error: 0.9855, scimark_benchmark: 946.6409, usercpu_time_millis: 640, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 620,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4558, f_measure: 0.5305, kappa: -0.0062, kb_relative_information_score: -4.8081, mean_absolute_error: 0.45, mean_prior_absolute_error: 0.4455, number_of_instances: 320, precision: 0.4424, predictive_accuracy: 0.6625, prior_entropy: 0.9204, recall: 0.6625, relative_absolute_error: 1.0101, root_mean_prior_squared_error: 0.4718, root_mean_squared_error: 0.4781, root_relative_squared_error: 1.0133, scimark_benchmark: 952.4682,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4558, f_measure: 0.5305, kappa: -0.0062, kb_relative_information_score: -3.6695, mean_absolute_error: 0.4486, mean_prior_absolute_error: 0.4455, number_of_instances: 320, precision: 0.4424, predictive_accuracy: 0.6625, prior_entropy: 0.9204, recall: 0.6625, relative_absolute_error: 1.007, root_mean_prior_squared_error: 0.4718, root_mean_squared_error: 0.4767, root_relative_squared_error: 1.0105, scimark_benchmark: 952.4682, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5779, f_measure: 0.6478, kappa: 0.187, kb_relative_information_score: 22.7552, mean_absolute_error: 0.4069, mean_prior_absolute_error: 0.4455, number_of_instances: 320, precision: 0.6584, predictive_accuracy: 0.6844, prior_entropy: 0.9204, recall: 0.6844, relative_absolute_error: 0.9134, root_mean_prior_squared_error: 0.4718, root_mean_squared_error: 0.4869, root_relative_squared_error: 1.032, scimark_benchmark: 928.8135, usercpu_time_millis: 130, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 110,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4853, f_measure: 0.532, kb_relative_information_score: 0.1059, mean_absolute_error: 0.4452, mean_prior_absolute_error: 0.4455, number_of_instances: 320, precision: 0.4431, predictive_accuracy: 0.6656, prior_entropy: 0.9204, recall: 0.6656, relative_absolute_error: 0.9993, root_mean_prior_squared_error: 0.4718, root_mean_squared_error: 0.4718, root_relative_squared_error: 1.0001, scimark_benchmark: 936.4883,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5256, f_measure: 0.5794, kappa: 0.065, kb_relative_information_score: 72.5946, mean_absolute_error: 0.3281, mean_prior_absolute_error: 0.4455, number_of_instances: 320, precision: 0.6391, predictive_accuracy: 0.6719, prior_entropy: 0.9204, recall: 0.6719, relative_absolute_error: 0.7366, root_mean_prior_squared_error: 0.4718, root_mean_squared_error: 0.5728, root_relative_squared_error: 1.2142, scimark_benchmark: 1346.2927, usercpu_time_millis: 30, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4558, f_measure: 0.5305, kappa: -0.0062, kb_relative_information_score: -4.8081, mean_absolute_error: 0.45, mean_prior_absolute_error: 0.4455, number_of_instances: 320, precision: 0.4424, predictive_accuracy: 0.6625, prior_entropy: 0.9204, recall: 0.6625, relative_absolute_error: 1.0101, root_mean_prior_squared_error: 0.4718, root_mean_squared_error: 0.4781, root_relative_squared_error: 1.0133, scimark_benchmark: 1346.2927,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4558, f_measure: 0.5305, kappa: -0.0062, kb_relative_information_score: -4.8081, mean_absolute_error: 0.45, mean_prior_absolute_error: 0.4455, number_of_instances: 320, precision: 0.4424, predictive_accuracy: 0.6625, prior_entropy: 0.9204, recall: 0.6625, relative_absolute_error: 1.0101, root_mean_prior_squared_error: 0.4718, root_mean_squared_error: 0.4781, root_relative_squared_error: 1.0133, scimark_benchmark: 1332.1612,

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