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: 0.5128, f_measure: 0.5183, kappa: 0.0256, kb_relative_information_score: 339.4341, mean_absolute_error: 0.4813, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.5179, predictive_accuracy: 0.5187, prior_entropy: 0.9924, recall: 0.5187, relative_absolute_error: 0.9728, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.6938, root_relative_squared_error: 1.3949,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5017, f_measure: 0.3954, kappa: 0.0038, kb_relative_information_score: 1375.0337, mean_absolute_error: 0.4473, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.7199, predictive_accuracy: 0.5527, prior_entropy: 0.9924, recall: 0.5527, relative_absolute_error: 0.904, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.6688, root_relative_squared_error: 1.3446,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8787, f_measure: 0.8812, kappa: 0.7596, kb_relative_information_score: 11373.6462, mean_absolute_error: 0.1186, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.8814, predictive_accuracy: 0.8814, prior_entropy: 0.9924, recall: 0.8814, relative_absolute_error: 0.2396, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.3443, root_relative_squared_error: 0.6923,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5272, f_measure: 0.5323, kappa: 0.0544, kb_relative_information_score: 755.7045, mean_absolute_error: 0.4676, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.5322, predictive_accuracy: 0.5324, prior_entropy: 0.9924, recall: 0.5324, relative_absolute_error: 0.9452, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.6838, root_relative_squared_error: 1.3749,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7865, f_measure: 0.7928, kappa: 0.5802, kb_relative_information_score: 8739.9743, mean_absolute_error: 0.2051, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.7967, predictive_accuracy: 0.7949, prior_entropy: 0.9924, recall: 0.7949, relative_absolute_error: 0.4146, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.4529, root_relative_squared_error: 0.9106,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5768, f_measure: 0.5671, kappa: 0.162, kb_relative_information_score: 3023.8707, mean_absolute_error: 0.3931, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.6175, predictive_accuracy: 0.6069, prior_entropy: 0.9924, recall: 0.6069, relative_absolute_error: 0.7944, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.6269, root_relative_squared_error: 1.2605,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5013, f_measure: 0.3947, kappa: 0.0028, kb_relative_information_score: 1360.8196, mean_absolute_error: 0.4477, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.6667, predictive_accuracy: 0.5523, prior_entropy: 0.9924, recall: 0.5523, relative_absolute_error: 0.9049, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.6691, root_relative_squared_error: 1.3453,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6105, f_measure: 0.5974, kappa: 0.2348, kb_relative_information_score: 4144.7549, mean_absolute_error: 0.3562, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.6913, predictive_accuracy: 0.6438, prior_entropy: 0.9924, recall: 0.6438, relative_absolute_error: 0.72, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.5968, root_relative_squared_error: 1.2,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5325, f_measure: 0.5376, kappa: 0.0651, kb_relative_information_score: 918.1515, mean_absolute_error: 0.4623, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.5374, predictive_accuracy: 0.5377, prior_entropy: 0.9924, recall: 0.5377, relative_absolute_error: 0.9344, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.6799, root_relative_squared_error: 1.367,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6375, f_measure: 0.6357, kappa: 0.289, kb_relative_information_score: 4794.5429, mean_absolute_error: 0.3348, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.6944, predictive_accuracy: 0.6652, prior_entropy: 0.9924, recall: 0.6652, relative_absolute_error: 0.6768, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.5787, root_relative_squared_error: 1.1634,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7733, f_measure: 0.7801, kappa: 0.5544, kb_relative_information_score: 8368.3768, mean_absolute_error: 0.2174, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.785, predictive_accuracy: 0.7826, prior_entropy: 0.9924, recall: 0.7826, relative_absolute_error: 0.4393, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.4662, root_relative_squared_error: 0.9374,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5839, f_measure: 0.5724, kappa: 0.1776, kb_relative_information_score: 3279.7247, mean_absolute_error: 0.3846, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.6342, predictive_accuracy: 0.6154, prior_entropy: 0.9924, recall: 0.6154, relative_absolute_error: 0.7774, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.6202, root_relative_squared_error: 1.247,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5324, f_measure: 0.5379, kappa: 0.065, kb_relative_information_score: 946.5798, mean_absolute_error: 0.4613, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.5374, predictive_accuracy: 0.5387, prior_entropy: 0.9924, recall: 0.5387, relative_absolute_error: 0.9325, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.6792, root_relative_squared_error: 1.3656,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8816, f_measure: 0.884, kappa: 0.7653, kb_relative_information_score: 11456.9002, mean_absolute_error: 0.1158, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.8841, predictive_accuracy: 0.8842, prior_entropy: 0.9924, recall: 0.8842, relative_absolute_error: 0.2341, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.3403, root_relative_squared_error: 0.6842,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8568, f_measure: 0.8602, kappa: 0.7169, kb_relative_information_score: 10740.1029, mean_absolute_error: 0.1394, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.8607, predictive_accuracy: 0.8606, prior_entropy: 0.9924, recall: 0.8606, relative_absolute_error: 0.2817, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.3733, root_relative_squared_error: 0.7506,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6857, f_measure: 0.6921, kappa: 0.3842, kb_relative_information_score: 6021.0177, mean_absolute_error: 0.2945, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.7195, predictive_accuracy: 0.7055, prior_entropy: 0.9924, recall: 0.7055, relative_absolute_error: 0.5953, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.5427, root_relative_squared_error: 1.0911,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3918, kappa: 0, kb_relative_information_score: 1328.3302, mean_absolute_error: 0.4488, 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: 0.9071, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.6699, root_relative_squared_error: 1.3469,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5123, f_measure: 0.5174, kappa: 0.0246, kb_relative_information_score: 300.853, mean_absolute_error: 0.4826, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.5174, predictive_accuracy: 0.5174, prior_entropy: 0.9924, recall: 0.5174, relative_absolute_error: 0.9754, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.6947, root_relative_squared_error: 1.3967,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7316, f_measure: 0.7394, kappa: 0.4736, kb_relative_information_score: 7233.2784, mean_absolute_error: 0.2547, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.7516, predictive_accuracy: 0.7453, prior_entropy: 0.9924, recall: 0.7453, relative_absolute_error: 0.5147, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.5047, root_relative_squared_error: 1.0146,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5444, f_measure: 0.5508, kappa: 0.0896, kb_relative_information_score: 1405.4925, mean_absolute_error: 0.4463, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.55, predictive_accuracy: 0.5537, prior_entropy: 0.9924, recall: 0.5537, relative_absolute_error: 0.902, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.668, root_relative_squared_error: 1.3431,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5449, f_measure: 0.5514, kappa: 0.0909, kb_relative_information_score: 1458.2878, mean_absolute_error: 0.4445, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.5508, predictive_accuracy: 0.5555, prior_entropy: 0.9924, recall: 0.5555, relative_absolute_error: 0.8985, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.6667, root_relative_squared_error: 1.3405,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.492, f_measure: 0.4972, kappa: -0.016, kb_relative_information_score: -320.5068, mean_absolute_error: 0.503, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.4973, predictive_accuracy: 0.497, prior_entropy: 0.9924, recall: 0.497, relative_absolute_error: 1.0167, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.7092, root_relative_squared_error: 1.426,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3918, kappa: 0, kb_relative_information_score: 1328.3302, mean_absolute_error: 0.4488, 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: 0.9071, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.6699, root_relative_squared_error: 1.3469,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5092, f_measure: 0.5145, kappa: 0.0184, kb_relative_information_score: 217.5989, mean_absolute_error: 0.4853, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.5144, predictive_accuracy: 0.5147, prior_entropy: 0.9924, recall: 0.5147, relative_absolute_error: 0.9809, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.6966, root_relative_squared_error: 1.4007,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5279, f_measure: 0.533, kappa: 0.0559, kb_relative_information_score: 776.0104, mean_absolute_error: 0.467, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.5329, predictive_accuracy: 0.533, prior_entropy: 0.9924, recall: 0.533, relative_absolute_error: 0.9438, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.6833, root_relative_squared_error: 1.3739,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7645, f_measure: 0.7713, kappa: 0.5367, kb_relative_information_score: 8108.4616, mean_absolute_error: 0.2259, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.7764, predictive_accuracy: 0.7741, prior_entropy: 0.9924, recall: 0.7741, relative_absolute_error: 0.4566, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.4753, root_relative_squared_error: 0.9556,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5378, f_measure: 0.5425, kappa: 0.0755, kb_relative_information_score: 1062.3232, mean_absolute_error: 0.4575, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.5426, predictive_accuracy: 0.5425, prior_entropy: 0.9924, recall: 0.5425, relative_absolute_error: 0.9248, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.6764, root_relative_squared_error: 1.36,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.591, f_measure: 0.5738, kappa: 0.1939, kb_relative_information_score: 3584.3128, mean_absolute_error: 0.3746, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.6647, predictive_accuracy: 0.6254, prior_entropy: 0.9924, recall: 0.6254, relative_absolute_error: 0.7572, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.6121, root_relative_squared_error: 1.2306,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5858, f_measure: 0.573, kappa: 0.1817, kb_relative_information_score: 3354.8564, mean_absolute_error: 0.3822, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.6406, predictive_accuracy: 0.6178, prior_entropy: 0.9924, recall: 0.6178, relative_absolute_error: 0.7725, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.6182, root_relative_squared_error: 1.2429,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8411, f_measure: 0.8454, kappa: 0.6868, kb_relative_information_score: 10297.4348, mean_absolute_error: 0.1539, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.8465, predictive_accuracy: 0.8461, prior_entropy: 0.9924, recall: 0.8461, relative_absolute_error: 0.3111, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.3924, root_relative_squared_error: 0.7888,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5063, f_measure: 0.5116, kappa: 0.0127, kb_relative_information_score: 124.1919, mean_absolute_error: 0.4884, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.5115, predictive_accuracy: 0.5116, prior_entropy: 0.9924, recall: 0.5116, relative_absolute_error: 0.9871, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.6988, root_relative_squared_error: 1.4051,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6928, f_measure: 0.6994, kappa: 0.3986, kb_relative_information_score: 6228.1376, mean_absolute_error: 0.2877, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.7271, predictive_accuracy: 0.7123, prior_entropy: 0.9924, recall: 0.7123, relative_absolute_error: 0.5815, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.5364, root_relative_squared_error: 1.0785,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5575, f_measure: 0.5255, kappa: 0.1234, kb_relative_information_score: 2684.7626, mean_absolute_error: 0.4042, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.6292, predictive_accuracy: 0.5958, prior_entropy: 0.9924, recall: 0.5958, relative_absolute_error: 0.817, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.6358, root_relative_squared_error: 1.2783,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5876, f_measure: 0.5745, kappa: 0.1857, kb_relative_information_score: 3417.8046, mean_absolute_error: 0.3801, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.645, predictive_accuracy: 0.6199, prior_entropy: 0.9924, recall: 0.6199, relative_absolute_error: 0.7683, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.6165, root_relative_squared_error: 1.2396,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5107, f_measure: 0.4869, kappa: 0.0227, kb_relative_information_score: 1129.3326, mean_absolute_error: 0.4553, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.523, predictive_accuracy: 0.5447, prior_entropy: 0.9924, recall: 0.5447, relative_absolute_error: 0.9203, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.6748, root_relative_squared_error: 1.3567,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5107, f_measure: 0.5159, kappa: 0.0213, kb_relative_information_score: 258.2106, mean_absolute_error: 0.484, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.5158, predictive_accuracy: 0.516, prior_entropy: 0.9924, recall: 0.516, relative_absolute_error: 0.9782, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.6957, root_relative_squared_error: 1.3987,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6106, f_measure: 0.5988, kappa: 0.2349, kb_relative_information_score: 4130.5408, mean_absolute_error: 0.3567, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.6865, predictive_accuracy: 0.6433, prior_entropy: 0.9924, recall: 0.6433, relative_absolute_error: 0.7209, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.5972, root_relative_squared_error: 1.2008,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7542, f_measure: 0.7617, kappa: 0.5177, kb_relative_information_score: 7850.577, mean_absolute_error: 0.2344, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.7697, predictive_accuracy: 0.7656, prior_entropy: 0.9924, recall: 0.7656, relative_absolute_error: 0.4737, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.4841, root_relative_squared_error: 0.9734,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5686, f_measure: 0.558, kappa: 0.1448, kb_relative_information_score: 2780.2002, mean_absolute_error: 0.4011, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.6059, predictive_accuracy: 0.5989, prior_entropy: 0.9924, recall: 0.5989, relative_absolute_error: 0.8106, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.6333, root_relative_squared_error: 1.2733,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5709, f_measure: 0.5658, kappa: 0.1486, kb_relative_information_score: 2755.8331, mean_absolute_error: 0.4019, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.5997, predictive_accuracy: 0.5981, prior_entropy: 0.9924, recall: 0.5981, relative_absolute_error: 0.8123, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.6339, root_relative_squared_error: 1.2746,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5649, f_measure: 0.5508, kappa: 0.1373, kb_relative_information_score: 2713.1908, mean_absolute_error: 0.4033, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.6059, predictive_accuracy: 0.5967, prior_entropy: 0.9924, recall: 0.5967, relative_absolute_error: 0.8151, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.635, root_relative_squared_error: 1.2768,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8779, f_measure: 0.8803, kappa: 0.7578, kb_relative_information_score: 11345.2179, mean_absolute_error: 0.1195, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.8804, predictive_accuracy: 0.8805, prior_entropy: 0.9924, recall: 0.8805, relative_absolute_error: 0.2415, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.3457, root_relative_squared_error: 0.695,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5012, f_measure: 0.395, kappa: 0.0027, kb_relative_information_score: 1358.789, mean_absolute_error: 0.4478, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.6306, predictive_accuracy: 0.5522, prior_entropy: 0.9924, recall: 0.5522, relative_absolute_error: 0.9051, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.6692, root_relative_squared_error: 1.3454,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7586, f_measure: 0.7665, kappa: 0.5282, kb_relative_information_score: 8027.2381, mean_absolute_error: 0.2286, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.7784, predictive_accuracy: 0.7714, prior_entropy: 0.9924, recall: 0.7714, relative_absolute_error: 0.462, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.4781, root_relative_squared_error: 0.9612,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4968, f_measure: 0.502, kappa: -0.0064, kb_relative_information_score: -170.2433, mean_absolute_error: 0.4981, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.5021, predictive_accuracy: 0.5019, prior_entropy: 0.9924, recall: 0.5019, relative_absolute_error: 1.0067, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.7057, root_relative_squared_error: 1.4189,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 1328.3302, mean_absolute_error: 0.4488, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, predictive_accuracy: 0.5512, prior_entropy: 0.9924, recall: 0.5512, relative_absolute_error: 0.9071, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.6699, root_relative_squared_error: 1.3469,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5346, f_measure: 0.541, kappa: 0.0701, kb_relative_information_score: 1178.0667, mean_absolute_error: 0.4537, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.5406, predictive_accuracy: 0.5463, prior_entropy: 0.9924, recall: 0.5463, relative_absolute_error: 0.9171, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.6736, root_relative_squared_error: 1.3543,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5541, f_measure: 0.5605, kappa: 0.1097, kb_relative_information_score: 1775.0594, mean_absolute_error: 0.4341, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.5607, predictive_accuracy: 0.5659, prior_entropy: 0.9924, recall: 0.5659, relative_absolute_error: 0.8774, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.6589, root_relative_squared_error: 1.3247,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4737, f_measure: 0.4802, kappa: -0.0529, kb_relative_information_score: -773.3278, mean_absolute_error: 0.5179, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.479, predictive_accuracy: 0.4821, prior_entropy: 0.9924, recall: 0.4821, relative_absolute_error: 1.0468, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.7196, root_relative_squared_error: 1.4469,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4721, f_measure: 0.4777, kappa: -0.0557, kb_relative_information_score: -909.3771, mean_absolute_error: 0.5224, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.4777, predictive_accuracy: 0.4776, prior_entropy: 0.9924, recall: 0.4776, relative_absolute_error: 1.0558, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.7227, root_relative_squared_error: 1.4531,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5041, f_measure: 0.5092, kappa: 0.0081, kb_relative_information_score: 51.0907, mean_absolute_error: 0.4908, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.5093, predictive_accuracy: 0.5092, prior_entropy: 0.9924, recall: 0.5092, relative_absolute_error: 0.992, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.7006, root_relative_squared_error: 1.4085,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4864, f_measure: 0.492, kappa: -0.0273, kb_relative_information_score: -464.6785, mean_absolute_error: 0.5077, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.4917, predictive_accuracy: 0.4923, prior_entropy: 0.9924, recall: 0.4923, relative_absolute_error: 1.0262, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.7126, root_relative_squared_error: 1.4327,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5346, f_measure: 0.5397, kappa: 0.0693, kb_relative_information_score: 985.1609, mean_absolute_error: 0.4601, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.5395, predictive_accuracy: 0.5399, prior_entropy: 0.9924, recall: 0.5399, relative_absolute_error: 0.9299, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.6783, root_relative_squared_error: 1.3638,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4724, f_measure: 0.4781, kappa: -0.0552, kb_relative_information_score: -889.0713, mean_absolute_error: 0.5217, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.4779, predictive_accuracy: 0.4783, prior_entropy: 0.9924, recall: 0.4783, relative_absolute_error: 1.0544, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.7223, root_relative_squared_error: 1.4522,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5126, f_measure: 0.5175, kappa: 0.0251, kb_relative_information_score: 298.8224, mean_absolute_error: 0.4826, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.5177, predictive_accuracy: 0.5174, prior_entropy: 0.9924, recall: 0.5174, relative_absolute_error: 0.9755, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.6947, root_relative_squared_error: 1.3968,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8734, f_measure: 0.8757, kappa: 0.7486, kb_relative_information_score: 11205.1074, mean_absolute_error: 0.1241, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.8758, predictive_accuracy: 0.8759, prior_entropy: 0.9924, recall: 0.8759, relative_absolute_error: 0.2508, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.3523, root_relative_squared_error: 0.7083,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8705, f_measure: 0.8732, kappa: 0.7434, kb_relative_information_score: 11129.9757, mean_absolute_error: 0.1266, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.8734, predictive_accuracy: 0.8734, prior_entropy: 0.9924, recall: 0.8734, relative_absolute_error: 0.2558, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.3558, root_relative_squared_error: 0.7153,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5317, f_measure: 0.5369, kappa: 0.0634, kb_relative_information_score: 901.9068, mean_absolute_error: 0.4628, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.5366, predictive_accuracy: 0.5372, prior_entropy: 0.9924, recall: 0.5372, relative_absolute_error: 0.9354, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.6803, root_relative_squared_error: 1.3678,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6386, f_measure: 0.6334, kappa: 0.2927, kb_relative_information_score: 4904.1946, mean_absolute_error: 0.3312, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.7131, predictive_accuracy: 0.6688, prior_entropy: 0.9924, recall: 0.6688, relative_absolute_error: 0.6695, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.5755, root_relative_squared_error: 1.1572,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 1328.3302, mean_absolute_error: 0.4488, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, predictive_accuracy: 0.5512, prior_entropy: 0.9924, recall: 0.5512, relative_absolute_error: 0.9071, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.6699, root_relative_squared_error: 1.3469,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5323, f_measure: 0.5373, kappa: 0.0645, kb_relative_information_score: 910.0292, mean_absolute_error: 0.4626, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.5372, predictive_accuracy: 0.5374, prior_entropy: 0.9924, recall: 0.5374, relative_absolute_error: 0.9349, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.6801, root_relative_squared_error: 1.3674,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5672, f_measure: 0.566, kappa: 0.1399, kb_relative_information_score: 2552.7744, mean_absolute_error: 0.4085, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.5881, predictive_accuracy: 0.5915, prior_entropy: 0.9924, recall: 0.5915, relative_absolute_error: 0.8257, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.6392, root_relative_squared_error: 1.2851,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5916, f_measure: 0.5745, kappa: 0.195, kb_relative_information_score: 3600.5575, mean_absolute_error: 0.3741, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.6655, predictive_accuracy: 0.6259, prior_entropy: 0.9924, recall: 0.6259, relative_absolute_error: 0.7561, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.6116, root_relative_squared_error: 1.2297,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5783, f_measure: 0.5665, kappa: 0.1656, kb_relative_information_score: 3105.0942, mean_absolute_error: 0.3904, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.6248, predictive_accuracy: 0.6096, prior_entropy: 0.9924, recall: 0.6096, relative_absolute_error: 0.789, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.6248, root_relative_squared_error: 1.2562,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5292, f_measure: 0.5342, kappa: 0.0585, kb_relative_information_score: 814.5916, mean_absolute_error: 0.4657, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.5342, predictive_accuracy: 0.5343, prior_entropy: 0.9924, recall: 0.5343, relative_absolute_error: 0.9412, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.6824, root_relative_squared_error: 1.372,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5317, f_measure: 0.537, kappa: 0.0635, kb_relative_information_score: 910.0292, mean_absolute_error: 0.4626, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.5367, predictive_accuracy: 0.5374, prior_entropy: 0.9924, recall: 0.5374, relative_absolute_error: 0.9349, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.6801, root_relative_squared_error: 1.3674,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 1328.3302, mean_absolute_error: 0.4488, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, predictive_accuracy: 0.5512, prior_entropy: 0.9924, recall: 0.5512, relative_absolute_error: 0.9071, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.6699, root_relative_squared_error: 1.3469,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4722, f_measure: 0.4778, kappa: -0.0556, kb_relative_information_score: -903.2854, mean_absolute_error: 0.5222, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.4777, predictive_accuracy: 0.4778, prior_entropy: 0.9924, recall: 0.4778, relative_absolute_error: 1.0554, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.7226, root_relative_squared_error: 1.4529,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.532, f_measure: 0.537, kappa: 0.0639, kb_relative_information_score: 901.9068, mean_absolute_error: 0.4628, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.5369, predictive_accuracy: 0.5372, prior_entropy: 0.9924, recall: 0.5372, relative_absolute_error: 0.9354, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.6803, root_relative_squared_error: 1.3678,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4724, f_measure: 0.478, kappa: -0.0553, kb_relative_information_score: -897.1936, mean_absolute_error: 0.522, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.4779, predictive_accuracy: 0.478, prior_entropy: 0.9924, recall: 0.478, relative_absolute_error: 1.055, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.7225, root_relative_squared_error: 1.4526,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5155, f_measure: 0.4465, kappa: 0.0337, kb_relative_information_score: 1626.8265, mean_absolute_error: 0.439, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.5736, predictive_accuracy: 0.561, prior_entropy: 0.9924, recall: 0.561, relative_absolute_error: 0.8873, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.6626, root_relative_squared_error: 1.3321,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8976, f_measure: 0.8988, kappa: 0.7954, kb_relative_information_score: 11901.5989, mean_absolute_error: 0.1012, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.8988, predictive_accuracy: 0.8988, prior_entropy: 0.9924, recall: 0.8988, relative_absolute_error: 0.2045, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.3181, root_relative_squared_error: 0.6396,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5587, f_measure: 0.5439, kappa: 0.1243, kb_relative_information_score: 2530.4379, mean_absolute_error: 0.4093, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.5966, predictive_accuracy: 0.5907, prior_entropy: 0.9924, recall: 0.5907, relative_absolute_error: 0.8272, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.6397, root_relative_squared_error: 1.2863,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5222, f_measure: 0.5272, kappa: 0.0444, kb_relative_information_score: 601.3799, mean_absolute_error: 0.4727, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.5272, predictive_accuracy: 0.5273, prior_entropy: 0.9924, recall: 0.5273, relative_absolute_error: 0.9554, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.6875, root_relative_squared_error: 1.3823,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5112, f_measure: 0.5164, kappa: 0.0224, kb_relative_information_score: 274.4553, mean_absolute_error: 0.4834, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.5163, predictive_accuracy: 0.5166, prior_entropy: 0.9924, recall: 0.5166, relative_absolute_error: 0.9771, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.6953, root_relative_squared_error: 1.398,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5005, f_measure: 0.5057, kappa: 0.001, kb_relative_information_score: -54.4998, mean_absolute_error: 0.4943, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.5057, predictive_accuracy: 0.5057, prior_entropy: 0.9924, recall: 0.5057, relative_absolute_error: 0.999, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.703, root_relative_squared_error: 1.4135,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8602, f_measure: 0.8618, kappa: 0.7206, kb_relative_information_score: 10776.6535, mean_absolute_error: 0.1382, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.8618, predictive_accuracy: 0.8618, prior_entropy: 0.9924, recall: 0.8618, relative_absolute_error: 0.2793, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.3717, root_relative_squared_error: 0.7474,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 1328.3302, mean_absolute_error: 0.4488, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, predictive_accuracy: 0.5512, prior_entropy: 0.9924, recall: 0.5512, relative_absolute_error: 0.9071, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.6699, root_relative_squared_error: 1.3469,

Metric:

Timeline

Plotting contribution timeline

Leaderboard

Rank Name Top Score Entries Highest rank

Note: The leaderboard ignores resubmissions of previous solutions, as well as parameter variations that do not improve performance.

Challenge

In supervised classification, you are given an input dataset in which instances are labeled with a certain class. The goal is to build a model that predicts the class for future unlabeled instances. The model is evaluated using a train-test procedure, e.g. cross-validation.

To make results by different users comparable, you are given the exact train-test folds to be used, and you need to return at least the predictions generated by your model for each of the test instances. OpenML will use these predictions to calculate a range of evaluation measures on the server.

You can also upload your own evaluation measures, provided that the code for doing so is available from the implementation used. For extremely large datasets, it may be infeasible to upload all predictions. In those cases, you need to compute and provide the evaluations yourself.

Optionally, you can upload the model trained on all the input data. There is no restriction on the file format, but please use a well-known format or PMML.

Given inputs

Expected outputs

evaluations A list of user-defined evaluations of the task as key-value pairs. KeyValue (optional)
model A file containing the model built on all the input data. File (optional)
predictions The desired output format Predictions (optional)

How to submit runs

Using your favorite machine learning environment

Download this task directly in your environment and automatically upload your results

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

OpenML APIs