OpenML
Supervised Classification on eeg-eye-state

Supervised Classification on eeg-eye-state

Task 9983 Supervised Classification eeg-eye-state 97291 runs submitted
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  • OpenML100 study_107 study_123 study_14 study_7
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6267, f_measure: 0.5879, kappa: 0.1821, kb_relative_information_score: 1147.1188, mean_absolute_error: 0.4627, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.612, predictive_accuracy: 0.6111, prior_entropy: 0.9924, recall: 0.6111, relative_absolute_error: 0.9352, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.4803, root_relative_squared_error: 0.9656, scimark_benchmark: 1805.715, usercpu_time_millis: 1524.288, usercpu_time_millis_testing: 5.833, usercpu_time_millis_training: 1518.455,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4776, f_measure: 0.3918, kappa: 0, kb_relative_information_score: 1.3458, mean_absolute_error: 0.4947, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.5282, predictive_accuracy: 0.5512, prior_entropy: 0.9924, recall: 0.5512, relative_absolute_error: 0.9999, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.4974, root_relative_squared_error: 1, scimark_benchmark: 788.7358, usercpu_time_millis: 1555.831, usercpu_time_millis_testing: 13.422, usercpu_time_millis_training: 1542.409,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8545, f_measure: 0.7389, kappa: 0.4769, kb_relative_information_score: 3878.8674, mean_absolute_error: 0.3799, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.7681, predictive_accuracy: 0.7494, prior_entropy: 0.9924, recall: 0.7494, relative_absolute_error: 0.7678, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.4265, root_relative_squared_error: 0.8574, scimark_benchmark: 1736.534, usercpu_time_millis: 1609.189, usercpu_time_millis_testing: 7.635, usercpu_time_millis_training: 1601.554,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.95, f_measure: 0.8857, kappa: 0.7688, kb_relative_information_score: 9954.3766, mean_absolute_error: 0.1782, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.8857, predictive_accuracy: 0.8858, prior_entropy: 0.9924, recall: 0.8858, relative_absolute_error: 0.3601, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.2914, root_relative_squared_error: 0.5858, scimark_benchmark: 1802.9303, usercpu_time_millis: 1543.149, usercpu_time_millis_testing: 2.563, usercpu_time_millis_training: 1540.586,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6148, f_measure: 0.5616, kappa: 0.1346, kb_relative_information_score: 754.6839, mean_absolute_error: 0.4739, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.587, predictive_accuracy: 0.5899, prior_entropy: 0.9924, recall: 0.5899, relative_absolute_error: 0.9578, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.4857, root_relative_squared_error: 0.9765, scimark_benchmark: 1811.5454, usercpu_time_millis: 1565.095, usercpu_time_millis_testing: 5.995, usercpu_time_millis_training: 1559.1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.509, f_measure: 0.3918, kappa: 0, kb_relative_information_score: 1.5449, mean_absolute_error: 0.4947, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.5282, predictive_accuracy: 0.5512, prior_entropy: 0.9924, recall: 0.5512, relative_absolute_error: 0.9999, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.4974, root_relative_squared_error: 1, scimark_benchmark: 736.2547, usercpu_time_millis: 1587.304, usercpu_time_millis_testing: 15.551, usercpu_time_millis_training: 1571.753,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8132, f_measure: 0.6464, kappa: 0.3156, kb_relative_information_score: 2422.794, mean_absolute_error: 0.4241, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.724, predictive_accuracy: 0.679, prior_entropy: 0.9924, recall: 0.679, relative_absolute_error: 0.8572, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.4542, root_relative_squared_error: 0.9133, scimark_benchmark: 1855.4813, usercpu_time_millis: 1655.593, usercpu_time_millis_testing: 7.863, usercpu_time_millis_training: 1647.73,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4197, f_measure: 0.3917, kappa: -0.0001, kb_relative_information_score: -1.4041, mean_absolute_error: 0.4948, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.3038, predictive_accuracy: 0.5511, prior_entropy: 0.9924, recall: 0.5511, relative_absolute_error: 1.0001, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.4975, root_relative_squared_error: 1.0002, scimark_benchmark: 1837.7149, usercpu_time_millis: 1544.428, usercpu_time_millis_testing: 4.336, usercpu_time_millis_training: 1540.092,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6268, f_measure: 0.5919, kappa: 0.1886, kb_relative_information_score: 1137.4376, mean_absolute_error: 0.4631, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.6145, predictive_accuracy: 0.6137, prior_entropy: 0.9924, recall: 0.6137, relative_absolute_error: 0.9361, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.4803, root_relative_squared_error: 0.9656, scimark_benchmark: 1745.1459, usercpu_time_millis: 1628.148, usercpu_time_millis_testing: 6.228, usercpu_time_millis_training: 1621.92,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9501, f_measure: 0.8826, kappa: 0.7626, kb_relative_information_score: 9902.2711, mean_absolute_error: 0.1786, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.8827, predictive_accuracy: 0.8828, prior_entropy: 0.9924, recall: 0.8828, relative_absolute_error: 0.361, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.2943, root_relative_squared_error: 0.5917, scimark_benchmark: 1848.8462, usercpu_time_millis: 1574.03, usercpu_time_millis_testing: 2.234, usercpu_time_millis_training: 1571.796,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8709, f_measure: 0.8112, kappa: 0.618, kb_relative_information_score: 6572.0408, mean_absolute_error: 0.2939, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.8111, predictive_accuracy: 0.8113, prior_entropy: 0.9924, recall: 0.8113, relative_absolute_error: 0.594, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.38, root_relative_squared_error: 0.7641, scimark_benchmark: 1714.3178, usercpu_time_millis: 1585.364, usercpu_time_millis_testing: 5.419, usercpu_time_millis_training: 1579.945,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8697, f_measure: 0.7947, kappa: 0.5842, kb_relative_information_score: 4883.2294, mean_absolute_error: 0.3484, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.8004, predictive_accuracy: 0.7973, prior_entropy: 0.9924, recall: 0.7973, relative_absolute_error: 0.7043, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.407, root_relative_squared_error: 0.8182, scimark_benchmark: 1799.4725, usercpu_time_millis: 1594, usercpu_time_millis_testing: 6.966, usercpu_time_millis_training: 1587.034,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4965, f_measure: 0.3918, kappa: 0, kb_relative_information_score: 1.4895, mean_absolute_error: 0.4947, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.5282, predictive_accuracy: 0.5512, prior_entropy: 0.9924, recall: 0.5512, relative_absolute_error: 0.9999, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.4974, root_relative_squared_error: 1, scimark_benchmark: 1707.7283, usercpu_time_millis: 1617.339, usercpu_time_millis_testing: 5.692, usercpu_time_millis_training: 1611.647,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8072, f_measure: 0.7088, kappa: 0.4099, kb_relative_information_score: 3252.9661, mean_absolute_error: 0.3976, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.7107, predictive_accuracy: 0.7114, prior_entropy: 0.9924, recall: 0.7114, relative_absolute_error: 0.8036, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.4419, root_relative_squared_error: 0.8884, scimark_benchmark: 789.6492, usercpu_time_millis: 1665.939, usercpu_time_millis_testing: 19.385, usercpu_time_millis_training: 1646.554,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5997, f_measure: 0.5552, kappa: 0.1128, kb_relative_information_score: 622.6384, mean_absolute_error: 0.4774, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.5693, predictive_accuracy: 0.5766, prior_entropy: 0.9924, recall: 0.5766, relative_absolute_error: 0.965, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.4884, root_relative_squared_error: 0.982, scimark_benchmark: 1799.8917, usercpu_time_millis: 1121.701, usercpu_time_millis_testing: 5.355, usercpu_time_millis_training: 1116.346,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8676, f_measure: 0.7876, kappa: 0.5709, kb_relative_information_score: 4682.1052, mean_absolute_error: 0.3548, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.8009, predictive_accuracy: 0.7922, prior_entropy: 0.9924, recall: 0.7922, relative_absolute_error: 0.7172, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.4107, root_relative_squared_error: 0.8257, scimark_benchmark: 1733.7613, usercpu_time_millis: 1687.181, usercpu_time_millis_testing: 7.406, usercpu_time_millis_training: 1679.775,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9591, f_measure: 0.8957, kappa: 0.7889, kb_relative_information_score: 10439.8629, mean_absolute_error: 0.1605, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.8958, predictive_accuracy: 0.8958, prior_entropy: 0.9924, recall: 0.8958, relative_absolute_error: 0.3244, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.2778, root_relative_squared_error: 0.5585, scimark_benchmark: 1815.014, usercpu_time_millis: 1801.75, usercpu_time_millis_testing: 2.078, usercpu_time_millis_training: 1799.672,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8542, f_measure: 0.7334, kappa: 0.4667, kb_relative_information_score: 3763.575, mean_absolute_error: 0.3834, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.7654, predictive_accuracy: 0.7449, prior_entropy: 0.9924, recall: 0.7449, relative_absolute_error: 0.7748, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.4289, root_relative_squared_error: 0.8623, scimark_benchmark: 1836.7415, usercpu_time_millis: 1297.926, usercpu_time_millis_testing: 7.043, usercpu_time_millis_training: 1290.883,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4615, f_measure: 0.3918, kappa: 0, kb_relative_information_score: 1.1718, mean_absolute_error: 0.4947, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.5282, predictive_accuracy: 0.5512, prior_entropy: 0.9924, recall: 0.5512, relative_absolute_error: 0.9999, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.4974, root_relative_squared_error: 1, scimark_benchmark: 1813.4819, usercpu_time_millis: 1749.137, usercpu_time_millis_testing: 4.946, usercpu_time_millis_training: 1744.191,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6184, f_measure: 0.5689, kappa: 0.1498, kb_relative_information_score: 826.6422, mean_absolute_error: 0.4722, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.5969, predictive_accuracy: 0.5974, prior_entropy: 0.9924, recall: 0.5974, relative_absolute_error: 0.9544, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.4844, root_relative_squared_error: 0.974, scimark_benchmark: 1802.8685, usercpu_time_millis: 1771.396, usercpu_time_millis_testing: 4.837, usercpu_time_millis_training: 1766.559,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.855, f_measure: 0.7712, kappa: 0.537, kb_relative_information_score: 5065.7127, mean_absolute_error: 0.3411, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.7711, predictive_accuracy: 0.7715, prior_entropy: 0.9924, recall: 0.7715, relative_absolute_error: 0.6894, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.4072, root_relative_squared_error: 0.8188, scimark_benchmark: 1730.591, usercpu_time_millis: 1801.113, usercpu_time_millis_testing: 7.68, usercpu_time_millis_training: 1793.433,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.481, f_measure: 0.3917, kappa: -0.0003, kb_relative_information_score: -2.7236, mean_absolute_error: 0.4948, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.3038, predictive_accuracy: 0.5511, prior_entropy: 0.9924, recall: 0.5511, relative_absolute_error: 1.0002, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.4975, root_relative_squared_error: 1.0003, scimark_benchmark: 1811.9287, usercpu_time_millis: 1812.859, usercpu_time_millis_testing: 5.989, usercpu_time_millis_training: 1806.87,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6439, f_measure: 0.6006, kappa: 0.2034, kb_relative_information_score: 1302.3583, mean_absolute_error: 0.4582, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.6208, predictive_accuracy: 0.6199, prior_entropy: 0.9924, recall: 0.6199, relative_absolute_error: 0.9262, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.4784, root_relative_squared_error: 0.9618, scimark_benchmark: 1722.6586, usercpu_time_millis: 1921.805, usercpu_time_millis_testing: 5.812, usercpu_time_millis_training: 1915.993,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6377, f_measure: 0.4144, kappa: 0.0221, kb_relative_information_score: 150.2283, mean_absolute_error: 0.4907, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.681, predictive_accuracy: 0.5598, prior_entropy: 0.9924, recall: 0.5598, relative_absolute_error: 0.9919, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.4944, root_relative_squared_error: 0.994, scimark_benchmark: 1838.1026, usercpu_time_millis: 1915.15, usercpu_time_millis_testing: 10.608, usercpu_time_millis_training: 1904.542,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5085, f_measure: 0.3917, kappa: -0.0003, kb_relative_information_score: -2.5223, mean_absolute_error: 0.4948, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.3038, predictive_accuracy: 0.5511, prior_entropy: 0.9924, recall: 0.5511, relative_absolute_error: 1.0002, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.4975, root_relative_squared_error: 1.0003, scimark_benchmark: 1810.5799, usercpu_time_millis: 1888.702, usercpu_time_millis_testing: 11.926, usercpu_time_millis_training: 1876.776,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6468, f_measure: 0.601, kappa: 0.2045, kb_relative_information_score: 1305.0906, mean_absolute_error: 0.4583, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.6217, predictive_accuracy: 0.6205, prior_entropy: 0.9924, recall: 0.6205, relative_absolute_error: 0.9262, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.4781, root_relative_squared_error: 0.9613, scimark_benchmark: 1835.1963, usercpu_time_millis: 1971.616, usercpu_time_millis_testing: 4.417, usercpu_time_millis_training: 1967.199,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4585, f_measure: 0.3918, kappa: 0, kb_relative_information_score: 1.0849, mean_absolute_error: 0.4947, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.5282, predictive_accuracy: 0.5512, prior_entropy: 0.9924, recall: 0.5512, relative_absolute_error: 0.9999, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.4974, root_relative_squared_error: 1, scimark_benchmark: 1814.9823, usercpu_time_millis: 2039.035, usercpu_time_millis_testing: 4.723, usercpu_time_millis_training: 2034.312,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7677, f_measure: 0.6779, kappa: 0.349, kb_relative_information_score: 3587.5143, mean_absolute_error: 0.3864, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.6858, predictive_accuracy: 0.6846, prior_entropy: 0.9924, recall: 0.6846, relative_absolute_error: 0.781, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.439, root_relative_squared_error: 0.8827, scimark_benchmark: 1820.3173, usercpu_time_millis: 2005.415, usercpu_time_millis_testing: 4.491, usercpu_time_millis_training: 2000.924,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6942, f_measure: 0.6208, kappa: 0.241, kb_relative_information_score: 2094.9187, mean_absolute_error: 0.434, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.639, predictive_accuracy: 0.6367, prior_entropy: 0.9924, recall: 0.6367, relative_absolute_error: 0.8772, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.4641, root_relative_squared_error: 0.9332, scimark_benchmark: 1816.3607, usercpu_time_millis: 2118.618, usercpu_time_millis_testing: 5.288, usercpu_time_millis_training: 2113.33,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6508, f_measure: 0.6037, kappa: 0.2102, kb_relative_information_score: 1324.0015, mean_absolute_error: 0.4578, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.6252, predictive_accuracy: 0.6233, prior_entropy: 0.9924, recall: 0.6233, relative_absolute_error: 0.9254, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.4778, root_relative_squared_error: 0.9607, scimark_benchmark: 1750.826, usercpu_time_millis: 2128.168, usercpu_time_millis_testing: 4.48, usercpu_time_millis_training: 2123.688,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6512, f_measure: 0.6042, kappa: 0.21, kb_relative_information_score: 1354.8957, mean_absolute_error: 0.4569, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.624, predictive_accuracy: 0.6228, prior_entropy: 0.9924, recall: 0.6228, relative_absolute_error: 0.9234, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.4776, root_relative_squared_error: 0.9603, scimark_benchmark: 1786.7583, usercpu_time_millis: 2109.66, usercpu_time_millis_testing: 5.831, usercpu_time_millis_training: 2103.829,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.619, f_measure: 0.5843, kappa: 0.1752, kb_relative_information_score: 1021.9475, mean_absolute_error: 0.4664, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.6083, predictive_accuracy: 0.6079, prior_entropy: 0.9924, recall: 0.6079, relative_absolute_error: 0.9428, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.4822, root_relative_squared_error: 0.9695, scimark_benchmark: 1806.5925, usercpu_time_millis: 2134.229, usercpu_time_millis_testing: 4.478, usercpu_time_millis_training: 2129.751,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6184, f_measure: 0.5717, kappa: 0.1554, kb_relative_information_score: 849.4486, mean_absolute_error: 0.4716, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.6004, predictive_accuracy: 0.6001, prior_entropy: 0.9924, recall: 0.6001, relative_absolute_error: 0.9531, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.4841, root_relative_squared_error: 0.9733, scimark_benchmark: 1792.9517, usercpu_time_millis: 2189.071, usercpu_time_millis_testing: 10.995, usercpu_time_millis_training: 2178.076,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6465, f_measure: 0.4287, kappa: 0.0361, kb_relative_information_score: 263.3738, mean_absolute_error: 0.4876, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.6765, predictive_accuracy: 0.5652, prior_entropy: 0.9924, recall: 0.5652, relative_absolute_error: 0.9855, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.4923, root_relative_squared_error: 0.9898, scimark_benchmark: 1829.6946, usercpu_time_millis: 2163.864, usercpu_time_millis_testing: 10.161, usercpu_time_millis_training: 2153.703,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.3993, f_measure: 0.3917, kappa: -0.0001, kb_relative_information_score: -1.759, mean_absolute_error: 0.4948, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.3038, predictive_accuracy: 0.5511, prior_entropy: 0.9924, recall: 0.5511, relative_absolute_error: 1.0001, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.4975, root_relative_squared_error: 1.0002, scimark_benchmark: 1757.9864, usercpu_time_millis: 2443.6, usercpu_time_millis_testing: 4.673, usercpu_time_millis_training: 2438.927,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5135, f_measure: 0.3916, kappa: -0.0004, kb_relative_information_score: -3.9556, mean_absolute_error: 0.4949, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.3038, predictive_accuracy: 0.551, prior_entropy: 0.9924, recall: 0.551, relative_absolute_error: 1.0002, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.4975, root_relative_squared_error: 1.0003, scimark_benchmark: 1058.701, usercpu_time_millis: 2541.34, usercpu_time_millis_testing: 15.803, usercpu_time_millis_training: 2525.537,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6586, f_measure: 0.6085, kappa: 0.2204, kb_relative_information_score: 1346.9914, mean_absolute_error: 0.4575, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.6318, predictive_accuracy: 0.6284, prior_entropy: 0.9924, recall: 0.6284, relative_absolute_error: 0.9246, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.4773, root_relative_squared_error: 0.9596, scimark_benchmark: 1784.7876, usercpu_time_millis: 2521.341, usercpu_time_millis_testing: 5.143, usercpu_time_millis_training: 2516.198,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7292, f_measure: 0.653, kappa: 0.3028, kb_relative_information_score: 2733.4895, mean_absolute_error: 0.4142, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.6689, predictive_accuracy: 0.665, prior_entropy: 0.9924, recall: 0.665, relative_absolute_error: 0.8372, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.4524, root_relative_squared_error: 0.9095, scimark_benchmark: 1788.7042, usercpu_time_millis: 2497.309, usercpu_time_millis_testing: 12.862, usercpu_time_millis_training: 2484.447,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6582, f_measure: 0.6094, kappa: 0.2203, kb_relative_information_score: 1397.035, mean_absolute_error: 0.4559, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.6298, predictive_accuracy: 0.6277, prior_entropy: 0.9924, recall: 0.6277, relative_absolute_error: 0.9214, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.4771, root_relative_squared_error: 0.9592, scimark_benchmark: 1788.841, usercpu_time_millis: 2559.593, usercpu_time_millis_testing: 5.198, usercpu_time_millis_training: 2554.395,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8735, f_measure: 0.7576, kappa: 0.5129, kb_relative_information_score: 5007.9951, mean_absolute_error: 0.3439, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.7824, predictive_accuracy: 0.766, prior_entropy: 0.9924, recall: 0.766, relative_absolute_error: 0.695, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.4063, root_relative_squared_error: 0.8168, scimark_benchmark: 1712.1059, usercpu_time_millis: 2570.162, usercpu_time_millis_testing: 7.165, usercpu_time_millis_training: 2562.997,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8171, f_measure: 0.6091, kappa: 0.2581, kb_relative_information_score: 2266.5527, mean_absolute_error: 0.4286, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.7121, predictive_accuracy: 0.6548, prior_entropy: 0.9924, recall: 0.6548, relative_absolute_error: 0.8663, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.4577, root_relative_squared_error: 0.9202, scimark_benchmark: 1823.3595, usercpu_time_millis: 2582.311, usercpu_time_millis_testing: 7.401, usercpu_time_millis_training: 2574.91,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9038, f_measure: 0.8484, kappa: 0.6928, kb_relative_information_score: 7732.8264, mean_absolute_error: 0.2558, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.8498, predictive_accuracy: 0.8491, prior_entropy: 0.9924, recall: 0.8491, relative_absolute_error: 0.5169, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.3499, root_relative_squared_error: 0.7035, scimark_benchmark: 1836.7415, usercpu_time_millis: 2576.724, usercpu_time_millis_testing: 5.644, usercpu_time_millis_training: 2571.08,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4697, f_measure: 0.3917, kappa: -0.0001, kb_relative_information_score: -1.7711, mean_absolute_error: 0.4948, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.3038, predictive_accuracy: 0.5511, prior_entropy: 0.9924, recall: 0.5511, relative_absolute_error: 1.0001, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.4974, root_relative_squared_error: 1.0001, scimark_benchmark: 1704.1693, usercpu_time_millis: 2612.655, usercpu_time_millis_testing: 10.936, usercpu_time_millis_training: 2601.719,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7274, f_measure: 0.664, kappa: 0.319, kb_relative_information_score: 2748.9631, mean_absolute_error: 0.4143, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.6646, predictive_accuracy: 0.6664, prior_entropy: 0.9924, recall: 0.6664, relative_absolute_error: 0.8373, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.4601, root_relative_squared_error: 0.925, scimark_benchmark: 1034.0641, usercpu_time_millis: 2662.348, usercpu_time_millis_testing: 18.579, usercpu_time_millis_training: 2643.769,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5231, f_measure: 0.3918, kappa: -0.0001, kb_relative_information_score: -0.5866, mean_absolute_error: 0.4948, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.4534, predictive_accuracy: 0.5511, prior_entropy: 0.9924, recall: 0.5511, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.4974, root_relative_squared_error: 1.0001, scimark_benchmark: 1057.513, usercpu_time_millis: 2658.659, usercpu_time_millis_testing: 15.262, usercpu_time_millis_training: 2643.397,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.611, f_measure: 0.5686, kappa: 0.129, kb_relative_information_score: 783.2205, mean_absolute_error: 0.4725, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.5725, predictive_accuracy: 0.5788, prior_entropy: 0.9924, recall: 0.5788, relative_absolute_error: 0.955, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.487, root_relative_squared_error: 0.9791, scimark_benchmark: 1030.5246, usercpu_time_millis: 2667.161, usercpu_time_millis_testing: 15.95, usercpu_time_millis_training: 2651.211,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4942, f_measure: 0.3918, kappa: 0, kb_relative_information_score: 1.433, mean_absolute_error: 0.4947, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.5282, predictive_accuracy: 0.5512, prior_entropy: 0.9924, recall: 0.5512, relative_absolute_error: 0.9999, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.4974, root_relative_squared_error: 1, scimark_benchmark: 1023.188, usercpu_time_millis: 2664.691, usercpu_time_millis_testing: 17.595, usercpu_time_millis_training: 2647.096,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4824, f_measure: 0.3917, kappa: -0.0003, kb_relative_information_score: -2.6386, mean_absolute_error: 0.4948, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.3038, predictive_accuracy: 0.5511, prior_entropy: 0.9924, recall: 0.5511, relative_absolute_error: 1.0002, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.4975, root_relative_squared_error: 1.0003, scimark_benchmark: 1021.8381, usercpu_time_millis: 2672.162, usercpu_time_millis_testing: 16.206, usercpu_time_millis_training: 2655.956,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6218, f_measure: 0.5905, kappa: 0.187, kb_relative_information_score: 1074.0157, mean_absolute_error: 0.465, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.6146, predictive_accuracy: 0.6133, prior_entropy: 0.9924, recall: 0.6133, relative_absolute_error: 0.9398, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.4813, root_relative_squared_error: 0.9676, scimark_benchmark: 1796.1722, usercpu_time_millis: 2805.452, usercpu_time_millis_testing: 11.761, usercpu_time_millis_training: 2793.691,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6412, f_measure: 0.5971, kappa: 0.1969, kb_relative_information_score: 1278.3643, mean_absolute_error: 0.459, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.6174, predictive_accuracy: 0.6169, prior_entropy: 0.9924, recall: 0.6169, relative_absolute_error: 0.9277, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.4784, root_relative_squared_error: 0.9618, scimark_benchmark: 1806.1621, usercpu_time_millis: 2871.157, usercpu_time_millis_testing: 4.405, usercpu_time_millis_training: 2866.752,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9324, f_measure: 0.8553, kappa: 0.7072, kb_relative_information_score: 8942.811, mean_absolute_error: 0.211, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.8556, predictive_accuracy: 0.8557, prior_entropy: 0.9924, recall: 0.8557, relative_absolute_error: 0.4264, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.3211, root_relative_squared_error: 0.6456, scimark_benchmark: 1759.1442, usercpu_time_millis: 2787.323, usercpu_time_millis_testing: 2.751, usercpu_time_millis_training: 2784.572,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9532, f_measure: 0.8906, kappa: 0.7786, kb_relative_information_score: 10053.1392, mean_absolute_error: 0.1751, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.8907, predictive_accuracy: 0.8907, prior_entropy: 0.9924, recall: 0.8907, relative_absolute_error: 0.3539, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.2862, root_relative_squared_error: 0.5754, scimark_benchmark: 1827.6449, usercpu_time_millis: 2883.072, usercpu_time_millis_testing: 2.044, usercpu_time_millis_training: 2881.028,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6184, f_measure: 0.5689, kappa: 0.15, kb_relative_information_score: 824.2112, mean_absolute_error: 0.4723, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.597, predictive_accuracy: 0.5975, prior_entropy: 0.9924, recall: 0.5975, relative_absolute_error: 0.9545, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.4845, root_relative_squared_error: 0.974, scimark_benchmark: 1793.7265, usercpu_time_millis: 2923.302, usercpu_time_millis_testing: 14.339, usercpu_time_millis_training: 2908.963,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6277, f_measure: 0.589, kappa: 0.1838, kb_relative_information_score: 1153.2575, mean_absolute_error: 0.4626, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.6126, predictive_accuracy: 0.6117, prior_entropy: 0.9924, recall: 0.6117, relative_absolute_error: 0.9349, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.4801, root_relative_squared_error: 0.9653, scimark_benchmark: 1797.1142, usercpu_time_millis: 3000.646, usercpu_time_millis_testing: 9.771, usercpu_time_millis_training: 2990.875,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8659, f_measure: 0.8049, kappa: 0.6077, kb_relative_information_score: 5659.41, mean_absolute_error: 0.3221, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.8074, predictive_accuracy: 0.8045, prior_entropy: 0.9924, recall: 0.8045, relative_absolute_error: 0.651, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.3986, root_relative_squared_error: 0.8015, scimark_benchmark: 1036.9095, usercpu_time_millis: 2970.354, usercpu_time_millis_testing: 15.868, usercpu_time_millis_training: 2954.486,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6117, f_measure: 0.5644, kappa: 0.1258, kb_relative_information_score: 726.0944, mean_absolute_error: 0.4744, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.5738, predictive_accuracy: 0.5805, prior_entropy: 0.9924, recall: 0.5805, relative_absolute_error: 0.9589, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.4865, root_relative_squared_error: 0.9781, scimark_benchmark: 1779.4132, usercpu_time_millis: 2993.042, usercpu_time_millis_testing: 18.332, usercpu_time_millis_training: 2974.71,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4746, f_measure: 0.3918, kappa: 0, kb_relative_information_score: 1.3271, mean_absolute_error: 0.4947, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.5282, predictive_accuracy: 0.5512, prior_entropy: 0.9924, recall: 0.5512, relative_absolute_error: 0.9999, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.4974, root_relative_squared_error: 1, scimark_benchmark: 1813.3289, usercpu_time_millis: 3081.203, usercpu_time_millis_testing: 6.292, usercpu_time_millis_training: 3074.911,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6178, f_measure: 0.564, kappa: 0.1411, kb_relative_information_score: 788.6157, mean_absolute_error: 0.4732, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.592, predictive_accuracy: 0.5935, prior_entropy: 0.9924, recall: 0.5935, relative_absolute_error: 0.9564, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.4848, root_relative_squared_error: 0.9748, scimark_benchmark: 1680.5452, usercpu_time_millis: 3043.719, usercpu_time_millis_testing: 18.806, usercpu_time_millis_training: 3024.913,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5226, f_measure: 0.3918, kappa: -0.0001, kb_relative_information_score: -0.587, mean_absolute_error: 0.4948, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.4534, predictive_accuracy: 0.5511, prior_entropy: 0.9924, recall: 0.5511, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.4974, root_relative_squared_error: 1.0001, scimark_benchmark: 1808.0424, usercpu_time_millis: 3078.678, usercpu_time_millis_testing: 14.601, usercpu_time_millis_training: 3064.077,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6664, f_measure: 0.613, kappa: 0.2263, kb_relative_information_score: 1455.9666, mean_absolute_error: 0.4545, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.6319, predictive_accuracy: 0.6301, prior_entropy: 0.9924, recall: 0.6301, relative_absolute_error: 0.9186, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.4759, root_relative_squared_error: 0.9569, scimark_benchmark: 1731.122, usercpu_time_millis: 3116.451, usercpu_time_millis_testing: 4.296, usercpu_time_millis_training: 3112.155,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4731, f_measure: 0.3918, kappa: 0, kb_relative_information_score: 1.3144, mean_absolute_error: 0.4947, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.5282, predictive_accuracy: 0.5512, prior_entropy: 0.9924, recall: 0.5512, relative_absolute_error: 0.9999, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.4974, root_relative_squared_error: 1, scimark_benchmark: 1809.5349, usercpu_time_millis: 3179.524, usercpu_time_millis_testing: 6.283, usercpu_time_millis_training: 3173.241,

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