Task
Supervised Classification on eeg-eye-state

Supervised Classification on eeg-eye-state

Task 9983 Supervised Classification eeg-eye-state 96917 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: 0.5, f_measure: 0.3917, kb_relative_information_score: -0.5198, mean_absolute_error: 0.4948, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.3038, predictive_accuracy: 0.5512, prior_entropy: 0.9924, recall: 0.5512, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.4974, root_relative_squared_error: 1, scimark_benchmark: 1857.0384, usercpu_time_millis: 7.109, usercpu_time_millis_testing: 1.089, usercpu_time_millis_training: 6.02,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3917, kb_relative_information_score: -0.2169, mean_absolute_error: 0.4948, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.3038, predictive_accuracy: 0.5512, prior_entropy: 0.9924, recall: 0.5512, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.4974, root_relative_squared_error: 1, scimark_benchmark: 1853.9849, usercpu_time_millis: 17.32, usercpu_time_millis_testing: 2.821, usercpu_time_millis_training: 14.499,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3917, kb_relative_information_score: -0.718, mean_absolute_error: 0.4948, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.3038, predictive_accuracy: 0.5512, prior_entropy: 0.9924, recall: 0.5512, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.4974, root_relative_squared_error: 1, scimark_benchmark: 1759.0557, usercpu_time_millis: 6.095, usercpu_time_millis_testing: 0.539, usercpu_time_millis_training: 5.556,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.949, f_measure: 0.8735, kappa: 0.7437, kb_relative_information_score: 7495.8669, mean_absolute_error: 0.2702, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.8747, predictive_accuracy: 0.874, prior_entropy: 0.9924, recall: 0.874, relative_absolute_error: 0.5461, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.3247, root_relative_squared_error: 0.6529, scimark_benchmark: 1856.0093, usercpu_time_millis: 14.105, usercpu_time_millis_testing: 0.791, usercpu_time_millis_training: 13.314,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8987, f_measure: 0.8129, kappa: 0.6208, kb_relative_information_score: 5280.4606, mean_absolute_error: 0.3421, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.8172, predictive_accuracy: 0.8148, prior_entropy: 0.9924, recall: 0.8148, relative_absolute_error: 0.6915, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.3807, root_relative_squared_error: 0.7654, scimark_benchmark: 1759.0557, usercpu_time_millis: 43.451, usercpu_time_millis_testing: 3.772, usercpu_time_millis_training: 39.679,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7689, f_measure: 0.7074, kappa: 0.4074, kb_relative_information_score: 1871.4343, mean_absolute_error: 0.4455, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.7114, predictive_accuracy: 0.7112, prior_entropy: 0.9924, recall: 0.7112, relative_absolute_error: 0.9003, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.4581, root_relative_squared_error: 0.9211, scimark_benchmark: 1708.176, usercpu_time_millis: 45.317, usercpu_time_millis_testing: 5.321, usercpu_time_millis_training: 39.996,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9548, f_measure: 0.8837, kappa: 0.7644, kb_relative_information_score: 7789.9495, mean_absolute_error: 0.2605, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.8849, predictive_accuracy: 0.8842, prior_entropy: 0.9924, recall: 0.8842, relative_absolute_error: 0.5266, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.3164, root_relative_squared_error: 0.6362, scimark_benchmark: 1771.5336, usercpu_time_millis: 52.076, usercpu_time_millis_testing: 3.279, usercpu_time_millis_training: 48.797,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9414, f_measure: 0.8601, kappa: 0.7165, kb_relative_information_score: 6140.7503, mean_absolute_error: 0.3174, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.8632, predictive_accuracy: 0.8611, prior_entropy: 0.9924, recall: 0.8611, relative_absolute_error: 0.6415, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.3533, root_relative_squared_error: 0.7104, scimark_benchmark: 1859.6666, usercpu_time_millis: 54.627, usercpu_time_millis_testing: 4.596, usercpu_time_millis_training: 50.031,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3917, kb_relative_information_score: -0.6569, mean_absolute_error: 0.4948, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.3038, predictive_accuracy: 0.5512, prior_entropy: 0.9924, recall: 0.5512, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.4974, root_relative_squared_error: 1, scimark_benchmark: 1757.2696, usercpu_time_millis: 6.245, usercpu_time_millis_testing: 0.91, usercpu_time_millis_training: 5.335,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9377, f_measure: 0.8615, kappa: 0.7194, kb_relative_information_score: 7351.3718, mean_absolute_error: 0.2729, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.8627, predictive_accuracy: 0.8621, prior_entropy: 0.9924, recall: 0.8621, relative_absolute_error: 0.5516, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.3334, root_relative_squared_error: 0.6704, scimark_benchmark: 1843.9754, usercpu_time_millis: 5.872, usercpu_time_millis_testing: 0.214, usercpu_time_millis_training: 5.658,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8219, f_measure: 0.7475, kappa: 0.4887, kb_relative_information_score: 2822.1466, mean_absolute_error: 0.4188, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.7527, predictive_accuracy: 0.7509, prior_entropy: 0.9924, recall: 0.7509, relative_absolute_error: 0.8464, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.4362, root_relative_squared_error: 0.877, scimark_benchmark: 1751.9917, usercpu_time_millis: 10.372, usercpu_time_millis_testing: 1.021, usercpu_time_millis_training: 9.351,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9013, f_measure: 0.8146, kappa: 0.6244, kb_relative_information_score: 4315.028, mean_absolute_error: 0.3753, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.8211, predictive_accuracy: 0.817, prior_entropy: 0.9924, recall: 0.817, relative_absolute_error: 0.7585, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.3981, root_relative_squared_error: 0.8004, scimark_benchmark: 1838.712, usercpu_time_millis: 24.243, usercpu_time_millis_testing: 3.088, usercpu_time_millis_training: 21.155,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7907, f_measure: 0.7159, kappa: 0.4242, kb_relative_information_score: 2847.2521, mean_absolute_error: 0.4161, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.7177, predictive_accuracy: 0.7183, prior_entropy: 0.9924, recall: 0.7183, relative_absolute_error: 0.841, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.4401, root_relative_squared_error: 0.8848, scimark_benchmark: 1759.2423, usercpu_time_millis: 23.326, usercpu_time_millis_testing: 1.953, usercpu_time_millis_training: 21.373,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9547, f_measure: 0.883, kappa: 0.7631, kb_relative_information_score: 7729.9956, mean_absolute_error: 0.2627, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.8842, predictive_accuracy: 0.8835, prior_entropy: 0.9924, recall: 0.8835, relative_absolute_error: 0.5311, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.3175, root_relative_squared_error: 0.6384, scimark_benchmark: 1856.7258, usercpu_time_millis: 59.087, usercpu_time_millis_testing: 4.675, usercpu_time_millis_training: 54.412,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9786, f_measure: 0.9252, kappa: 0.8486, kb_relative_information_score: 9610.1975, mean_absolute_error: 0.1985, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.9256, predictive_accuracy: 0.9254, prior_entropy: 0.9924, recall: 0.9254, relative_absolute_error: 0.4011, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.2652, root_relative_squared_error: 0.5331, scimark_benchmark: 1903.0663, usercpu_time_millis: 63.315, usercpu_time_millis_testing: 2.683, usercpu_time_millis_training: 60.632,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.694, f_measure: 0.6425, kappa: 0.2775, kb_relative_information_score: 1363.1581, mean_absolute_error: 0.4582, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.6426, predictive_accuracy: 0.6425, prior_entropy: 0.9924, recall: 0.6425, relative_absolute_error: 0.9262, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.4731, root_relative_squared_error: 0.9511, scimark_benchmark: 1849.9303, usercpu_time_millis: 7.644, usercpu_time_millis_testing: 0.548, usercpu_time_millis_training: 7.096,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9449, f_measure: 0.8707, kappa: 0.7381, kb_relative_information_score: 7294.4129, mean_absolute_error: 0.2765, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.8721, predictive_accuracy: 0.8713, prior_entropy: 0.9924, recall: 0.8713, relative_absolute_error: 0.5589, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.3305, root_relative_squared_error: 0.6646, scimark_benchmark: 1761.6495, usercpu_time_millis: 7.848, usercpu_time_millis_testing: 0.422, usercpu_time_millis_training: 7.426,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6922, f_measure: 0.5633, kappa: 0.1645, kb_relative_information_score: 655.1017, mean_absolute_error: 0.4785, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.6291, predictive_accuracy: 0.61, prior_entropy: 0.9924, recall: 0.61, relative_absolute_error: 0.967, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.4837, root_relative_squared_error: 0.9724, scimark_benchmark: 1772.0155, usercpu_time_millis: 27.499, usercpu_time_millis_testing: 3.581, usercpu_time_millis_training: 23.918,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7897, f_measure: 0.7156, kappa: 0.4267, kb_relative_information_score: 1884.655, mean_absolute_error: 0.4459, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.7305, predictive_accuracy: 0.7234, prior_entropy: 0.9924, recall: 0.7234, relative_absolute_error: 0.9012, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.4563, root_relative_squared_error: 0.9175, scimark_benchmark: 1853.0716, usercpu_time_millis: 46.261, usercpu_time_millis_testing: 5.003, usercpu_time_millis_training: 41.258,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8127, f_measure: 0.7331, kappa: 0.4591, kb_relative_information_score: 3279.9735, mean_absolute_error: 0.4033, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.736, predictive_accuracy: 0.7358, prior_entropy: 0.9924, recall: 0.7358, relative_absolute_error: 0.8151, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.43, root_relative_squared_error: 0.8645, scimark_benchmark: 1850.2875, usercpu_time_millis: 44.82, usercpu_time_millis_testing: 4.224, usercpu_time_millis_training: 40.596,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9637, f_measure: 0.8961, kappa: 0.7895, kb_relative_information_score: 8108.1985, mean_absolute_error: 0.2506, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.8969, predictive_accuracy: 0.8964, prior_entropy: 0.9924, recall: 0.8964, relative_absolute_error: 0.5066, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.3055, root_relative_squared_error: 0.6142, scimark_benchmark: 1710.761, usercpu_time_millis: 86.159, usercpu_time_millis_testing: 7.376, usercpu_time_millis_training: 78.783,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8916, f_measure: 0.8079, kappa: 0.6108, kb_relative_information_score: 5640.0256, mean_absolute_error: 0.328, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.812, predictive_accuracy: 0.8098, prior_entropy: 0.9924, recall: 0.8098, relative_absolute_error: 0.663, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.3782, root_relative_squared_error: 0.7604, scimark_benchmark: 1753.6764, usercpu_time_millis: 142.6, usercpu_time_millis_testing: 6.91, usercpu_time_millis_training: 135.69,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4997, kb_relative_information_score: -0.2098, mean_absolute_error: 0.4948, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, predictive_accuracy: 0.5512, prior_entropy: 0.9924, recall: 0.5512, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.4974, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9284, f_measure: 0.8465, kappa: 0.689, kb_relative_information_score: 6551.327, mean_absolute_error: 0.3007, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.8488, predictive_accuracy: 0.8475, prior_entropy: 0.9924, recall: 0.8475, relative_absolute_error: 0.6079, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.3504, root_relative_squared_error: 0.7046, scimark_benchmark: 1121.7682, usercpu_time_millis: 105.477, usercpu_time_millis_testing: 6.149, usercpu_time_millis_training: 99.328,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8946, f_measure: 0.8107, kappa: 0.6163, kb_relative_information_score: 5204.411, mean_absolute_error: 0.3445, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.8144, predictive_accuracy: 0.8124, prior_entropy: 0.9924, recall: 0.8124, relative_absolute_error: 0.6962, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.3828, root_relative_squared_error: 0.7697, scimark_benchmark: 1077.073, usercpu_time_millis: 119.828, usercpu_time_millis_testing: 10.852, usercpu_time_millis_training: 108.976,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9718, f_measure: 0.9106, kappa: 0.8189, kb_relative_information_score: 8910.2886, mean_absolute_error: 0.2227, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.9112, predictive_accuracy: 0.9108, prior_entropy: 0.9924, recall: 0.9108, relative_absolute_error: 0.4501, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.2849, root_relative_squared_error: 0.5728, scimark_benchmark: 1198.3094, usercpu_time_millis: 135.961, usercpu_time_millis_testing: 5.056, usercpu_time_millis_training: 130.905,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9566, f_measure: 0.8852, kappa: 0.7674, kb_relative_information_score: 7937.0397, mean_absolute_error: 0.2555, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.8861, predictive_accuracy: 0.8856, prior_entropy: 0.9924, recall: 0.8856, relative_absolute_error: 0.5164, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.3128, root_relative_squared_error: 0.6289, scimark_benchmark: 1049.7127, usercpu_time_millis: 85.273, usercpu_time_millis_testing: 5.651, usercpu_time_millis_training: 79.622,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8066, f_measure: 0.7288, kappa: 0.4505, kb_relative_information_score: 3246.8609, mean_absolute_error: 0.404, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.732, predictive_accuracy: 0.7317, prior_entropy: 0.9924, recall: 0.7317, relative_absolute_error: 0.8165, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.4316, root_relative_squared_error: 0.8679, scimark_benchmark: 1127.0718, usercpu_time_millis: 109.982, usercpu_time_millis_testing: 7.468, usercpu_time_millis_training: 102.514,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8708, f_measure: 0.7868, kappa: 0.5682, kb_relative_information_score: 3953.2246, mean_absolute_error: 0.385, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.7923, predictive_accuracy: 0.7895, prior_entropy: 0.9924, recall: 0.7895, relative_absolute_error: 0.7783, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.4092, root_relative_squared_error: 0.8227, scimark_benchmark: 1207.8997, usercpu_time_millis: 172.13, usercpu_time_millis_testing: 15.965, usercpu_time_millis_training: 156.165,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.809, f_measure: 0.7256, kappa: 0.4459, kb_relative_information_score: 4191.7467, mean_absolute_error: 0.3713, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.7379, predictive_accuracy: 0.7321, prior_entropy: 0.9924, recall: 0.7321, relative_absolute_error: 0.7505, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.4215, root_relative_squared_error: 0.8474, scimark_benchmark: 1841.9717, usercpu_time_millis: 127.03, usercpu_time_millis_testing: 6.654, usercpu_time_millis_training: 120.376,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.3917, kb_relative_information_score: 0.0847, mean_absolute_error: 0.4948, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.3038, predictive_accuracy: 0.5512, prior_entropy: 0.9924, recall: 0.5512, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.4974, root_relative_squared_error: 1, scimark_benchmark: 1836.7125, usercpu_time_millis: 4.77, usercpu_time_millis_testing: 0.757, usercpu_time_millis_training: 4.013,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8854, f_measure: 0.7993, kappa: 0.5933, kb_relative_information_score: 5416.4692, mean_absolute_error: 0.3353, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.804, predictive_accuracy: 0.8015, prior_entropy: 0.9924, recall: 0.8015, relative_absolute_error: 0.6776, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.3834, root_relative_squared_error: 0.7708, scimark_benchmark: 1779.7351, usercpu_time_millis: 5.693, usercpu_time_millis_testing: 0.225, usercpu_time_millis_training: 5.468,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4998, f_measure: 0.3917, kb_relative_information_score: -0.2622, mean_absolute_error: 0.4948, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.3038, predictive_accuracy: 0.5512, prior_entropy: 0.9924, recall: 0.5512, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.4974, root_relative_squared_error: 1, scimark_benchmark: 1841.3483, usercpu_time_millis: 8.52, usercpu_time_millis_testing: 1.4, usercpu_time_millis_training: 7.12,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7796, f_measure: 0.7186, kappa: 0.4298, kb_relative_information_score: 2135.7308, mean_absolute_error: 0.438, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.721, predictive_accuracy: 0.7213, prior_entropy: 0.9924, recall: 0.7213, relative_absolute_error: 0.8852, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.4528, root_relative_squared_error: 0.9104, scimark_benchmark: 1737.0046, usercpu_time_millis: 29.027, usercpu_time_millis_testing: 3.738, usercpu_time_millis_training: 25.289,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9616, f_measure: 0.8905, kappa: 0.7782, kb_relative_information_score: 7842.397, mean_absolute_error: 0.26, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.8917, predictive_accuracy: 0.8909, prior_entropy: 0.9924, recall: 0.8909, relative_absolute_error: 0.5255, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.3117, root_relative_squared_error: 0.6266, scimark_benchmark: 1838.3194, usercpu_time_millis: 39.893, usercpu_time_millis_testing: 3.68, usercpu_time_millis_training: 36.213,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.969, f_measure: 0.9047, kappa: 0.8069, kb_relative_information_score: 8371.5533, mean_absolute_error: 0.2422, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.9057, predictive_accuracy: 0.905, prior_entropy: 0.9924, recall: 0.905, relative_absolute_error: 0.4895, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.2971, root_relative_squared_error: 0.5974, scimark_benchmark: 1242.4243, usercpu_time_millis: 54.003, usercpu_time_millis_testing: 3.811, usercpu_time_millis_training: 50.192,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9681, f_measure: 0.9049, kappa: 0.8075, kb_relative_information_score: 8841.0605, mean_absolute_error: 0.2244, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.9056, predictive_accuracy: 0.9052, prior_entropy: 0.9924, recall: 0.9052, relative_absolute_error: 0.4535, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.289, root_relative_squared_error: 0.5811, scimark_benchmark: 1244.4257, usercpu_time_millis: 84.49, usercpu_time_millis_testing: 3.965, usercpu_time_millis_training: 80.525,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9534, f_measure: 0.8809, kappa: 0.7587, kb_relative_information_score: 7739.0616, mean_absolute_error: 0.2621, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.8821, predictive_accuracy: 0.8814, prior_entropy: 0.9924, recall: 0.8814, relative_absolute_error: 0.5298, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.3182, root_relative_squared_error: 0.6398, scimark_benchmark: 1241.7145, usercpu_time_millis: 829.671, usercpu_time_millis_testing: 42.02, usercpu_time_millis_training: 787.651,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9706, f_measure: 0.9052, kappa: 0.8079, kb_relative_information_score: 8356.6233, mean_absolute_error: 0.2431, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.9061, predictive_accuracy: 0.9055, prior_entropy: 0.9924, recall: 0.9055, relative_absolute_error: 0.4913, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.2964, root_relative_squared_error: 0.5959, scimark_benchmark: 1239.4219, usercpu_time_millis: 884.477, usercpu_time_millis_testing: 60.128, usercpu_time_millis_training: 824.349,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9716, f_measure: 0.9099, kappa: 0.8176, kb_relative_information_score: 9015.6523, mean_absolute_error: 0.2187, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.9105, predictive_accuracy: 0.9101, prior_entropy: 0.9924, recall: 0.9101, relative_absolute_error: 0.442, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.283, root_relative_squared_error: 0.569, scimark_benchmark: 1247.5155, usercpu_time_millis: 94.492, usercpu_time_millis_testing: 3.631, usercpu_time_millis_training: 90.861,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9566, f_measure: 0.8852, kappa: 0.7675, kb_relative_information_score: 7797.1924, mean_absolute_error: 0.2606, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.8863, predictive_accuracy: 0.8856, prior_entropy: 0.9924, recall: 0.8856, relative_absolute_error: 0.5267, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.3153, root_relative_squared_error: 0.634, scimark_benchmark: 1245.4734, usercpu_time_millis: 785.222, usercpu_time_millis_testing: 44.27, usercpu_time_millis_training: 740.952,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9645, f_measure: 0.898, kappa: 0.7935, kb_relative_information_score: 8448.6466, mean_absolute_error: 0.2381, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.899, predictive_accuracy: 0.8984, prior_entropy: 0.9924, recall: 0.8984, relative_absolute_error: 0.4813, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.2988, root_relative_squared_error: 0.6008, scimark_benchmark: 1276.2977, usercpu_time_millis: 228.909, usercpu_time_millis_testing: 10.264, usercpu_time_millis_training: 218.645,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9666, f_measure: 0.8987, kappa: 0.7948, kb_relative_information_score: 8050.5219, mean_absolute_error: 0.2534, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.8997, predictive_accuracy: 0.8991, prior_entropy: 0.9924, recall: 0.8991, relative_absolute_error: 0.5122, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.3049, root_relative_squared_error: 0.613, scimark_benchmark: 1277.6901, usercpu_time_millis: 556.405, usercpu_time_millis_testing: 38.727, usercpu_time_millis_training: 517.678,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9531, f_measure: 0.8795, kappa: 0.7559, kb_relative_information_score: 7616.635, mean_absolute_error: 0.2665, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.8809, predictive_accuracy: 0.88, prior_entropy: 0.9924, recall: 0.88, relative_absolute_error: 0.5387, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.3205, root_relative_squared_error: 0.6443, scimark_benchmark: 1277.2255, usercpu_time_millis: 571.789, usercpu_time_millis_testing: 34.178, usercpu_time_millis_training: 537.611,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9789, f_measure: 0.9259, kappa: 0.8501, kb_relative_information_score: 9622.4148, mean_absolute_error: 0.1981, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.9264, predictive_accuracy: 0.9261, prior_entropy: 0.9924, recall: 0.9261, relative_absolute_error: 0.4005, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.2645, root_relative_squared_error: 0.5318, scimark_benchmark: 1270.9611, usercpu_time_millis: 932.847, usercpu_time_millis_testing: 29.454, usercpu_time_millis_training: 903.393,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9801, f_measure: 0.9246, kappa: 0.8473, kb_relative_information_score: 8964.1679, mean_absolute_error: 0.2233, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.9252, predictive_accuracy: 0.9248, prior_entropy: 0.9924, recall: 0.9248, relative_absolute_error: 0.4513, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.277, root_relative_squared_error: 0.5569, scimark_benchmark: 1240.9122, usercpu_time_millis: 470.627, usercpu_time_millis_testing: 27.566, usercpu_time_millis_training: 443.061,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9496, f_measure: 0.8736, kappa: 0.7439, kb_relative_information_score: 7174.0767, mean_absolute_error: 0.2821, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.8753, predictive_accuracy: 0.8742, prior_entropy: 0.9924, recall: 0.8742, relative_absolute_error: 0.5702, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.3301, root_relative_squared_error: 0.6637, scimark_benchmark: 1280.0315, usercpu_time_millis: 402.294, usercpu_time_millis_testing: 30.557, usercpu_time_millis_training: 371.737,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9753, f_measure: 0.913, kappa: 0.8238, kb_relative_information_score: 8567.2568, mean_absolute_error: 0.2365, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.9139, predictive_accuracy: 0.9133, prior_entropy: 0.9924, recall: 0.9133, relative_absolute_error: 0.4781, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.289, root_relative_squared_error: 0.5811, scimark_benchmark: 1278.3819, usercpu_time_millis: 318.419, usercpu_time_millis_testing: 22.185, usercpu_time_millis_training: 296.234,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9784, f_measure: 0.9232, kappa: 0.8444, kb_relative_information_score: 9234.9518, mean_absolute_error: 0.2126, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.9238, predictive_accuracy: 0.9234, prior_entropy: 0.9924, recall: 0.9234, relative_absolute_error: 0.4296, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.2728, root_relative_squared_error: 0.5484, scimark_benchmark: 1252.2266, usercpu_time_millis: 846.098, usercpu_time_millis_testing: 47.031, usercpu_time_millis_training: 799.067,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9753, f_measure: 0.9135, kappa: 0.8247, kb_relative_information_score: 8160.7014, mean_absolute_error: 0.2515, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.9148, predictive_accuracy: 0.9138, prior_entropy: 0.9924, recall: 0.9138, relative_absolute_error: 0.5084, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.2977, root_relative_squared_error: 0.5986, scimark_benchmark: 1247.4599, usercpu_time_millis: 346.076, usercpu_time_millis_testing: 26.168, usercpu_time_millis_training: 319.908,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9774, f_measure: 0.9214, kappa: 0.8409, kb_relative_information_score: 9259.3399, mean_absolute_error: 0.2113, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.922, predictive_accuracy: 0.9216, prior_entropy: 0.9924, recall: 0.9216, relative_absolute_error: 0.4271, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.2732, root_relative_squared_error: 0.5493, scimark_benchmark: 1247.6881, usercpu_time_millis: 718.229, usercpu_time_millis_testing: 35.089, usercpu_time_millis_training: 683.14,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9577, f_measure: 0.8867, kappa: 0.7706, kb_relative_information_score: 7972.2251, mean_absolute_error: 0.2544, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.8878, predictive_accuracy: 0.8872, prior_entropy: 0.9924, recall: 0.8872, relative_absolute_error: 0.5141, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.3116, root_relative_squared_error: 0.6265, scimark_benchmark: 1213.8864, usercpu_time_millis: 777.344, usercpu_time_millis_testing: 40.03, usercpu_time_millis_training: 737.314,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9758, f_measure: 0.9189, kappa: 0.8358, kb_relative_information_score: 9436.5293, mean_absolute_error: 0.2041, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.9194, predictive_accuracy: 0.9191, prior_entropy: 0.9924, recall: 0.9191, relative_absolute_error: 0.4126, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.2713, root_relative_squared_error: 0.5454, scimark_benchmark: 1274.0908, usercpu_time_millis: 818.245, usercpu_time_millis_testing: 22.055, usercpu_time_millis_training: 796.19,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9665, f_measure: 0.9002, kappa: 0.7979, kb_relative_information_score: 8435.3557, mean_absolute_error: 0.2391, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.9009, predictive_accuracy: 0.9005, prior_entropy: 0.9924, recall: 0.9005, relative_absolute_error: 0.4833, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.2976, root_relative_squared_error: 0.5983, scimark_benchmark: 1250.2637, usercpu_time_millis: 853.149, usercpu_time_millis_testing: 43.592, usercpu_time_millis_training: 809.557,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9705, f_measure: 0.9031, kappa: 0.8037, kb_relative_information_score: 8159.0415, mean_absolute_error: 0.2503, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.9043, predictive_accuracy: 0.9035, prior_entropy: 0.9924, recall: 0.9035, relative_absolute_error: 0.5059, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.3005, root_relative_squared_error: 0.6042, scimark_benchmark: 1248.8233, usercpu_time_millis: 146.83, usercpu_time_millis_testing: 10.258, usercpu_time_millis_training: 136.572,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9797, f_measure: 0.9237, kappa: 0.8454, kb_relative_information_score: 9022.2652, mean_absolute_error: 0.2209, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.9245, predictive_accuracy: 0.9239, prior_entropy: 0.9924, recall: 0.9239, relative_absolute_error: 0.4465, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.2762, root_relative_squared_error: 0.5553, scimark_benchmark: 1242.6726, usercpu_time_millis: 154.45, usercpu_time_millis_testing: 10.329, usercpu_time_millis_training: 144.121,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9823, f_measure: 0.9308, kappa: 0.86, kb_relative_information_score: 9711.3756, mean_absolute_error: 0.1958, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.9313, predictive_accuracy: 0.931, prior_entropy: 0.9924, recall: 0.931, relative_absolute_error: 0.3958, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.2593, root_relative_squared_error: 0.5213, scimark_benchmark: 1274.7506, usercpu_time_millis: 434.987, usercpu_time_millis_testing: 20.264, usercpu_time_millis_training: 414.723,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9712, f_measure: 0.9073, kappa: 0.8123, kb_relative_information_score: 8491.5094, mean_absolute_error: 0.2383, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.9082, predictive_accuracy: 0.9076, prior_entropy: 0.9924, recall: 0.9076, relative_absolute_error: 0.4816, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.2933, root_relative_squared_error: 0.5897, scimark_benchmark: 1237.174, usercpu_time_millis: 617.318, usercpu_time_millis_testing: 35.918, usercpu_time_millis_training: 581.4,

Metric:

Timeline

Plotting contribution timeline

Leaderboard

Rank Name Top Score Entries Highest rank

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

Challenge

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

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

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

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

Given inputs

Expected outputs

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

How to submit runs

Using your favorite machine learning environment

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

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From your own software

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

OpenML APIs