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: 0.941, f_measure: 0.8656, kappa: 0.7277, kb_relative_information_score: 7749.5729, mean_absolute_error: 0.2585, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.8663, predictive_accuracy: 0.866, prior_entropy: 0.9924, recall: 0.866, relative_absolute_error: 0.5226, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.3257, root_relative_squared_error: 0.6548, scimark_benchmark: 1858.6076, usercpu_time_millis: 115.096, usercpu_time_millis_testing: 4.147, usercpu_time_millis_training: 110.949,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.94, f_measure: 0.8589, kappa: 0.714, kb_relative_information_score: 6676.3784, mean_absolute_error: 0.298, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.8609, predictive_accuracy: 0.8597, prior_entropy: 0.9924, recall: 0.8597, relative_absolute_error: 0.6023, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.3437, root_relative_squared_error: 0.6911, scimark_benchmark: 1853.9121, usercpu_time_millis: 93.029, usercpu_time_millis_testing: 7.051, usercpu_time_millis_training: 85.978,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9607, f_measure: 0.8964, kappa: 0.7902, kb_relative_information_score: 8563.4516, mean_absolute_error: 0.2328, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.8971, predictive_accuracy: 0.8967, prior_entropy: 0.9924, recall: 0.8967, relative_absolute_error: 0.4705, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.2998, root_relative_squared_error: 0.6029, scimark_benchmark: 1734.1652, usercpu_time_millis: 2.715, usercpu_time_millis_testing: 0.16, usercpu_time_millis_training: 2.555,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.3917, kb_relative_information_score: 0.409, mean_absolute_error: 0.4947, 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: 1736.5552, usercpu_time_millis: 3.496, usercpu_time_millis_testing: 0.422, usercpu_time_millis_training: 3.074,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6812, f_measure: 0.5297, kappa: 0.1308, kb_relative_information_score: 443.684, mean_absolute_error: 0.484, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.6361, predictive_accuracy: 0.5991, prior_entropy: 0.9924, recall: 0.5991, relative_absolute_error: 0.9782, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.4878, root_relative_squared_error: 0.9807, scimark_benchmark: 1725.3999, usercpu_time_millis: 17.043, usercpu_time_millis_testing: 2.687, usercpu_time_millis_training: 14.356,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7274, f_measure: 0.6483, kappa: 0.2938, kb_relative_information_score: 1173.5136, mean_absolute_error: 0.4648, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.6648, predictive_accuracy: 0.6609, prior_entropy: 0.9924, recall: 0.6609, relative_absolute_error: 0.9394, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.4727, root_relative_squared_error: 0.9504, scimark_benchmark: 2020.6799, usercpu_time_millis: 25.249, usercpu_time_millis_testing: 3.4, usercpu_time_millis_training: 21.849,
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable). Evaluation Engine Exception: Run description file not present.
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.867, f_measure: 0.7775, kappa: 0.5494, kb_relative_information_score: 4699.9377, mean_absolute_error: 0.3589, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.7833, predictive_accuracy: 0.7804, prior_entropy: 0.9924, recall: 0.7804, relative_absolute_error: 0.7255, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.3981, root_relative_squared_error: 0.8003, scimark_benchmark: 1725.3999, usercpu_time_millis: 61.424, usercpu_time_millis_testing: 5.896, usercpu_time_millis_training: 55.528,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.973, f_measure: 0.9118, kappa: 0.8214, kb_relative_information_score: 9183.0515, mean_absolute_error: 0.2127, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.9123, predictive_accuracy: 0.912, prior_entropy: 0.9924, recall: 0.912, relative_absolute_error: 0.43, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.2787, root_relative_squared_error: 0.5604, scimark_benchmark: 1736.8976, usercpu_time_millis: 70.131, usercpu_time_millis_testing: 3.156, usercpu_time_millis_training: 66.975,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7621, f_measure: 0.7109, kappa: 0.4141, kb_relative_information_score: 1940.274, mean_absolute_error: 0.443, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.7126, predictive_accuracy: 0.7134, prior_entropy: 0.9924, recall: 0.7134, relative_absolute_error: 0.8954, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.4579, root_relative_squared_error: 0.9207, scimark_benchmark: 1724.7562, usercpu_time_millis: 13.335, usercpu_time_millis_testing: 0.996, usercpu_time_millis_training: 12.339,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.751, f_measure: 0.6867, kappa: 0.3651, kb_relative_information_score: 2249.5852, mean_absolute_error: 0.4332, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.6873, predictive_accuracy: 0.6887, prior_entropy: 0.9924, recall: 0.6887, relative_absolute_error: 0.8756, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.4544, root_relative_squared_error: 0.9137, scimark_benchmark: 1751.7371, usercpu_time_millis: 9.68, usercpu_time_millis_testing: 0.558, usercpu_time_millis_training: 9.122,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9624, f_measure: 0.8949, kappa: 0.7871, kb_relative_information_score: 8287.3419, mean_absolute_error: 0.2434, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.8956, predictive_accuracy: 0.8952, prior_entropy: 0.9924, recall: 0.8952, relative_absolute_error: 0.492, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.3034, root_relative_squared_error: 0.6099, scimark_benchmark: 1751.3294, usercpu_time_millis: 83.486, usercpu_time_millis_testing: 3.695, usercpu_time_millis_training: 79.791,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3917, kb_relative_information_score: 0.005, 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: 1720.0556, usercpu_time_millis: 15.035, usercpu_time_millis_testing: 2.486, usercpu_time_millis_training: 12.549,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8091, f_measure: 0.7337, kappa: 0.4603, kb_relative_information_score: 3058.368, mean_absolute_error: 0.4104, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.7357, predictive_accuracy: 0.7359, prior_entropy: 0.9924, recall: 0.7359, relative_absolute_error: 0.8294, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.4339, root_relative_squared_error: 0.8725, scimark_benchmark: 2134.9819, usercpu_time_millis: 19.311, usercpu_time_millis_testing: 1.955, usercpu_time_millis_training: 17.356,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8905, f_measure: 0.8051, kappa: 0.605, kb_relative_information_score: 5327.0009, mean_absolute_error: 0.3394, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.809, predictive_accuracy: 0.8069, prior_entropy: 0.9924, recall: 0.8069, relative_absolute_error: 0.686, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.3824, root_relative_squared_error: 0.7687, scimark_benchmark: 1737.2983, usercpu_time_millis: 45.523, usercpu_time_millis_testing: 4.29, usercpu_time_millis_training: 41.233,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9537, f_measure: 0.8814, kappa: 0.7597, kb_relative_information_score: 7762.6417, mean_absolute_error: 0.2612, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.8824, predictive_accuracy: 0.8818, prior_entropy: 0.9924, recall: 0.8818, relative_absolute_error: 0.5279, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.3177, root_relative_squared_error: 0.6388, scimark_benchmark: 1724.947, usercpu_time_millis: 55.603, usercpu_time_millis_testing: 3.483, usercpu_time_millis_training: 52.12,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7365, f_measure: 0.6845, kappa: 0.3609, kb_relative_information_score: 1810.7537, mean_absolute_error: 0.4461, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.6845, predictive_accuracy: 0.6858, prior_entropy: 0.9924, recall: 0.6858, relative_absolute_error: 0.9016, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.4626, root_relative_squared_error: 0.93, scimark_benchmark: 1748.6193, usercpu_time_millis: 1.994, usercpu_time_millis_testing: 0.137, usercpu_time_millis_training: 1.857,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.3917, kb_relative_information_score: -2.8748, 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: 1.0001, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.4974, root_relative_squared_error: 1, scimark_benchmark: 1742.8701, usercpu_time_millis: 2.055, usercpu_time_millis_testing: 0.161, usercpu_time_millis_training: 1.894,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9449, f_measure: 0.8633, kappa: 0.723, kb_relative_information_score: 6403.0326, mean_absolute_error: 0.3088, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.8659, predictive_accuracy: 0.8642, prior_entropy: 0.9924, recall: 0.8642, relative_absolute_error: 0.6241, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.3469, root_relative_squared_error: 0.6974, scimark_benchmark: 1745.1886, usercpu_time_millis: 10.06, usercpu_time_millis_testing: 0.812, usercpu_time_millis_training: 9.248,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8066, f_measure: 0.7306, kappa: 0.4541, kb_relative_information_score: 3077.1878, mean_absolute_error: 0.4096, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.733, predictive_accuracy: 0.7331, prior_entropy: 0.9924, recall: 0.7331, relative_absolute_error: 0.8278, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.434, root_relative_squared_error: 0.8726, scimark_benchmark: 1734.1037, usercpu_time_millis: 35.695, usercpu_time_millis_testing: 2.545, usercpu_time_millis_training: 33.15,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9068, f_measure: 0.8216, kappa: 0.6384, kb_relative_information_score: 5650.7822, mean_absolute_error: 0.33, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.8255, predictive_accuracy: 0.8232, prior_entropy: 0.9924, recall: 0.8232, relative_absolute_error: 0.6669, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.3726, root_relative_squared_error: 0.7491, scimark_benchmark: 1718.1358, usercpu_time_millis: 70.873, usercpu_time_millis_testing: 5.119, usercpu_time_millis_training: 65.754,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7896, f_measure: 0.716, kappa: 0.4251, kb_relative_information_score: 3139.1163, mean_absolute_error: 0.4063, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.7223, predictive_accuracy: 0.7206, prior_entropy: 0.9924, recall: 0.7206, relative_absolute_error: 0.8213, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.4367, root_relative_squared_error: 0.878, scimark_benchmark: 1814.9034, usercpu_time_millis: 13.208, usercpu_time_millis_testing: 0.709, usercpu_time_millis_training: 12.499,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9466, f_measure: 0.8693, kappa: 0.7352, kb_relative_information_score: 6574.9283, mean_absolute_error: 0.3031, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.8721, predictive_accuracy: 0.8702, prior_entropy: 0.9924, recall: 0.8702, relative_absolute_error: 0.6125, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.343, root_relative_squared_error: 0.6896, scimark_benchmark: 1898.7911, usercpu_time_millis: 5.668, usercpu_time_millis_testing: 0.592, usercpu_time_millis_training: 5.076,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8759, f_measure: 0.79, kappa: 0.5745, kb_relative_information_score: 4380.2012, mean_absolute_error: 0.3711, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.7954, predictive_accuracy: 0.7925, prior_entropy: 0.9924, recall: 0.7925, relative_absolute_error: 0.7501, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.4007, root_relative_squared_error: 0.8056, scimark_benchmark: 1853.9121, usercpu_time_millis: 13.331, usercpu_time_millis_testing: 0.916, usercpu_time_millis_training: 12.415,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8557, f_measure: 0.7741, kappa: 0.5425, kb_relative_information_score: 4126.4728, mean_absolute_error: 0.3782, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.7805, predictive_accuracy: 0.7772, prior_entropy: 0.9924, recall: 0.7772, relative_absolute_error: 0.7643, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.4089, root_relative_squared_error: 0.8221, scimark_benchmark: 1906.9984, usercpu_time_millis: 12.706, usercpu_time_millis_testing: 0.914, usercpu_time_millis_training: 11.792,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7702, f_measure: 0.7136, kappa: 0.4196, kb_relative_information_score: 2012.264, mean_absolute_error: 0.4412, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.7155, predictive_accuracy: 0.7161, prior_entropy: 0.9924, recall: 0.7161, relative_absolute_error: 0.8917, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.4558, root_relative_squared_error: 0.9165, scimark_benchmark: 1848.3851, usercpu_time_millis: 27.309, usercpu_time_millis_testing: 3.045, usercpu_time_millis_training: 24.264,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7329, f_measure: 0.6797, kappa: 0.3512, kb_relative_information_score: 1705.9129, mean_absolute_error: 0.4491, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.6796, predictive_accuracy: 0.6808, prior_entropy: 0.9924, recall: 0.6808, relative_absolute_error: 0.9077, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.4645, root_relative_squared_error: 0.9339, scimark_benchmark: 1853.9121, usercpu_time_millis: 20.88, usercpu_time_millis_testing: 1.711, usercpu_time_millis_training: 19.169,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.85, f_measure: 0.7653, kappa: 0.5245, kb_relative_information_score: 4235.5399, mean_absolute_error: 0.3738, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.7697, predictive_accuracy: 0.768, prior_entropy: 0.9924, recall: 0.768, relative_absolute_error: 0.7555, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.4085, root_relative_squared_error: 0.8212, scimark_benchmark: 1854.568, usercpu_time_millis: 24.335, usercpu_time_millis_testing: 2.418, usercpu_time_millis_training: 21.917,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6927, f_measure: 0.5968, kappa: 0.2037, kb_relative_information_score: 1045.0841, mean_absolute_error: 0.4677, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.6286, predictive_accuracy: 0.6226, prior_entropy: 0.9924, recall: 0.6226, relative_absolute_error: 0.9454, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.4769, root_relative_squared_error: 0.9589, scimark_benchmark: 1847.3472, usercpu_time_millis: 36.981, usercpu_time_millis_testing: 3.51, usercpu_time_millis_training: 33.471,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9656, f_measure: 0.8994, kappa: 0.7963, kb_relative_information_score: 8266.9054, mean_absolute_error: 0.2452, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.9002, predictive_accuracy: 0.8997, prior_entropy: 0.9924, recall: 0.8997, relative_absolute_error: 0.4957, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.3013, root_relative_squared_error: 0.6058, scimark_benchmark: 1764.8677, usercpu_time_millis: 68.876, usercpu_time_millis_testing: 5.471, usercpu_time_millis_training: 63.405,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9214, f_measure: 0.8418, kappa: 0.6793, kb_relative_information_score: 6666.4182, mean_absolute_error: 0.2954, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.8438, predictive_accuracy: 0.8427, prior_entropy: 0.9924, recall: 0.8427, relative_absolute_error: 0.597, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.3516, root_relative_squared_error: 0.7069, scimark_benchmark: 1966.2382, usercpu_time_millis: 163.366, usercpu_time_millis_testing: 7.336, usercpu_time_millis_training: 156.03,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9008, f_measure: 0.8179, kappa: 0.6311, kb_relative_information_score: 6089.555, mean_absolute_error: 0.313, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.8205, predictive_accuracy: 0.8193, prior_entropy: 0.9924, recall: 0.8193, relative_absolute_error: 0.6327, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.3686, root_relative_squared_error: 0.7412, scimark_benchmark: 1961.8873, usercpu_time_millis: 129.866, usercpu_time_millis_testing: 5.94, usercpu_time_millis_training: 123.926,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8042, f_measure: 0.7256, kappa: 0.4441, kb_relative_information_score: 3281.5148, mean_absolute_error: 0.4026, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.729, predictive_accuracy: 0.7287, prior_entropy: 0.9924, recall: 0.7287, relative_absolute_error: 0.8138, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.4316, root_relative_squared_error: 0.8678, scimark_benchmark: 1768.5124, usercpu_time_millis: 64.699, usercpu_time_millis_testing: 5.763, usercpu_time_millis_training: 58.936,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3917, kb_relative_information_score: 0.451, mean_absolute_error: 0.4947, 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: 1830.8886, usercpu_time_millis: 8.408, usercpu_time_millis_testing: 1.196, usercpu_time_millis_training: 7.212,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8044, f_measure: 0.7333, kappa: 0.4597, kb_relative_information_score: 2646.4964, mean_absolute_error: 0.4234, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.7372, predictive_accuracy: 0.7364, prior_entropy: 0.9924, recall: 0.7364, relative_absolute_error: 0.8557, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.4413, root_relative_squared_error: 0.8872, scimark_benchmark: 1742.006, usercpu_time_millis: 5.458, usercpu_time_millis_testing: 0.406, usercpu_time_millis_training: 5.052,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.959, f_measure: 0.8934, kappa: 0.7841, kb_relative_information_score: 9078.868, mean_absolute_error: 0.2127, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.894, predictive_accuracy: 0.8937, prior_entropy: 0.9924, recall: 0.8937, relative_absolute_error: 0.43, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.293, root_relative_squared_error: 0.5892, scimark_benchmark: 1849.6224, usercpu_time_millis: 18.142, usercpu_time_millis_testing: 0.487, usercpu_time_millis_training: 17.655,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8462, f_measure: 0.7606, kappa: 0.5159, kb_relative_information_score: 4529.5582, mean_absolute_error: 0.3627, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.7702, predictive_accuracy: 0.7651, prior_entropy: 0.9924, recall: 0.7651, relative_absolute_error: 0.733, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.4064, root_relative_squared_error: 0.8171, scimark_benchmark: 1733.7613, usercpu_time_millis: 27.87, usercpu_time_millis_testing: 1.297, usercpu_time_millis_training: 26.573,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9208, f_measure: 0.8342, kappa: 0.664, kb_relative_information_score: 5666.7282, mean_absolute_error: 0.3313, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.8383, predictive_accuracy: 0.8357, prior_entropy: 0.9924, recall: 0.8357, relative_absolute_error: 0.6696, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.3681, root_relative_squared_error: 0.74, scimark_benchmark: 1713.4936, usercpu_time_millis: 106.756, usercpu_time_millis_testing: 9.713, usercpu_time_millis_training: 97.043,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8782, f_measure: 0.7919, kappa: 0.5784, kb_relative_information_score: 5385.4478, mean_absolute_error: 0.3355, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.796, predictive_accuracy: 0.7941, prior_entropy: 0.9924, recall: 0.7941, relative_absolute_error: 0.6781, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.3862, root_relative_squared_error: 0.7764, scimark_benchmark: 1797.4179, usercpu_time_millis: 175.261, usercpu_time_millis_testing: 9.601, usercpu_time_millis_training: 165.66,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7169, f_measure: 0.6464, kappa: 0.2909, kb_relative_information_score: 1176.2672, mean_absolute_error: 0.4646, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.6646, predictive_accuracy: 0.66, prior_entropy: 0.9924, recall: 0.66, relative_absolute_error: 0.939, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.4732, root_relative_squared_error: 0.9513, scimark_benchmark: 1735.2934, usercpu_time_millis: 1.427, usercpu_time_millis_testing: 0.122, usercpu_time_millis_training: 1.305,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.936, f_measure: 0.8583, kappa: 0.7129, kb_relative_information_score: 7288.8367, mean_absolute_error: 0.2748, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.8594, predictive_accuracy: 0.8589, prior_entropy: 0.9924, recall: 0.8589, relative_absolute_error: 0.5554, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.3354, root_relative_squared_error: 0.6744, scimark_benchmark: 1739.4906, usercpu_time_millis: 9.312, usercpu_time_millis_testing: 0.316, usercpu_time_millis_training: 8.996,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8752, f_measure: 0.7902, kappa: 0.5752, kb_relative_information_score: 3617.2386, mean_absolute_error: 0.3961, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.7978, predictive_accuracy: 0.7933, prior_entropy: 0.9924, recall: 0.7933, relative_absolute_error: 0.8007, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.4153, root_relative_squared_error: 0.835, scimark_benchmark: 1809.6605, usercpu_time_millis: 21.214, usercpu_time_millis_testing: 1.928, usercpu_time_millis_training: 19.286,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9613, f_measure: 0.8943, kappa: 0.7859, kb_relative_information_score: 8487.2929, mean_absolute_error: 0.2356, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.895, predictive_accuracy: 0.8946, prior_entropy: 0.9924, recall: 0.8946, relative_absolute_error: 0.4761, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.3007, root_relative_squared_error: 0.6046, scimark_benchmark: 1827.7442, usercpu_time_millis: 35.805, usercpu_time_millis_testing: 1.413, usercpu_time_millis_training: 34.392,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7846, f_measure: 0.718, kappa: 0.4287, kb_relative_information_score: 2170.9397, mean_absolute_error: 0.4371, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.7212, predictive_accuracy: 0.7212, prior_entropy: 0.9924, recall: 0.7212, relative_absolute_error: 0.8835, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.4516, root_relative_squared_error: 0.9079, scimark_benchmark: 1808.2529, usercpu_time_millis: 43.073, usercpu_time_millis_testing: 4.634, usercpu_time_millis_training: 38.439,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8762, f_measure: 0.789, kappa: 0.5725, kb_relative_information_score: 4942.9771, mean_absolute_error: 0.3513, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.7951, predictive_accuracy: 0.7917, prior_entropy: 0.9924, recall: 0.7917, relative_absolute_error: 0.71, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.3924, root_relative_squared_error: 0.7889, scimark_benchmark: 1737.0657, usercpu_time_millis: 56.293, usercpu_time_millis_testing: 3.626, usercpu_time_millis_training: 52.667,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8156, f_measure: 0.7349, kappa: 0.4632, kb_relative_information_score: 3671.4761, mean_absolute_error: 0.3903, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.7411, predictive_accuracy: 0.7389, prior_entropy: 0.9924, recall: 0.7389, relative_absolute_error: 0.7888, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.4243, root_relative_squared_error: 0.8531, scimark_benchmark: 1832.9965, usercpu_time_millis: 75.462, usercpu_time_millis_testing: 4.636, usercpu_time_millis_training: 70.826,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.898, f_measure: 0.8106, kappa: 0.6163, kb_relative_information_score: 4682.3512, mean_absolute_error: 0.3629, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.8158, predictive_accuracy: 0.8128, prior_entropy: 0.9924, recall: 0.8128, relative_absolute_error: 0.7335, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.3911, root_relative_squared_error: 0.7864, scimark_benchmark: 1736.9559, usercpu_time_millis: 72.163, usercpu_time_millis_testing: 7.861, usercpu_time_millis_training: 64.302,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3917, kb_relative_information_score: -0.6035, 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: 1834.2954, usercpu_time_millis: 4.139, usercpu_time_millis_testing: 0.525, usercpu_time_millis_training: 3.614,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8037, f_measure: 0.7314, kappa: 0.4557, kb_relative_information_score: 2861.8913, mean_absolute_error: 0.4164, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.7339, predictive_accuracy: 0.7339, prior_entropy: 0.9924, recall: 0.7339, relative_absolute_error: 0.8417, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.4378, root_relative_squared_error: 0.8802, scimark_benchmark: 1834.2954, usercpu_time_millis: 8.679, usercpu_time_millis_testing: 0.614, usercpu_time_millis_training: 8.065,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9567, f_measure: 0.8823, kappa: 0.7616, kb_relative_information_score: 7229.5608, mean_absolute_error: 0.2812, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.8837, predictive_accuracy: 0.8828, prior_entropy: 0.9924, recall: 0.8828, relative_absolute_error: 0.5683, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.3262, root_relative_squared_error: 0.6558, scimark_benchmark: 1836.0004, usercpu_time_millis: 41.166, usercpu_time_millis_testing: 3.491, usercpu_time_millis_training: 37.675,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.969, f_measure: 0.9054, kappa: 0.8085, kb_relative_information_score: 8792.8509, mean_absolute_error: 0.2264, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.906, predictive_accuracy: 0.9057, prior_entropy: 0.9924, recall: 0.9057, relative_absolute_error: 0.4576, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.2892, root_relative_squared_error: 0.5814, scimark_benchmark: 1771.3836, usercpu_time_millis: 38.913, usercpu_time_millis_testing: 1.887, usercpu_time_millis_training: 37.026,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9096, f_measure: 0.8274, kappa: 0.6503, kb_relative_information_score: 5741.814, mean_absolute_error: 0.3272, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.8307, predictive_accuracy: 0.8288, prior_entropy: 0.9924, recall: 0.8288, relative_absolute_error: 0.6614, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.37, root_relative_squared_error: 0.7439, scimark_benchmark: 1803.3485, usercpu_time_millis: 53.407, usercpu_time_millis_testing: 4.499, usercpu_time_millis_training: 48.908,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4788, kb_relative_information_score: -0.2642, 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: 0.4997, kb_relative_information_score: -0.2097, 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: 0.9731, f_measure: 0.9166, kappa: 0.8312, kb_relative_information_score: 9645.2763, mean_absolute_error: 0.1952, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.9172, predictive_accuracy: 0.9168, prior_entropy: 0.9924, recall: 0.9168, relative_absolute_error: 0.3945, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.2704, root_relative_squared_error: 0.5437, scimark_benchmark: 1256.4056, usercpu_time_millis: 46.648, usercpu_time_millis_testing: 1.424, usercpu_time_millis_training: 45.224,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9759, f_measure: 0.9194, kappa: 0.8369, kb_relative_information_score: 9236.7371, mean_absolute_error: 0.2117, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.92, predictive_accuracy: 0.9196, prior_entropy: 0.9924, recall: 0.9196, relative_absolute_error: 0.4279, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.275, root_relative_squared_error: 0.553, scimark_benchmark: 1291.583, usercpu_time_millis: 543.203, usercpu_time_millis_testing: 21.43, usercpu_time_millis_training: 521.773,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9747, f_measure: 0.9174, kappa: 0.8327, kb_relative_information_score: 9378.2988, mean_absolute_error: 0.206, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.9178, predictive_accuracy: 0.9176, prior_entropy: 0.9924, recall: 0.9176, relative_absolute_error: 0.4164, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.2734, root_relative_squared_error: 0.5497, scimark_benchmark: 1253.9727, usercpu_time_millis: 143.195, usercpu_time_millis_testing: 4.647, usercpu_time_millis_training: 138.548,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9796, f_measure: 0.926, kappa: 0.8502, kb_relative_information_score: 9620.7886, mean_absolute_error: 0.1984, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.9265, predictive_accuracy: 0.9262, prior_entropy: 0.9924, recall: 0.9262, relative_absolute_error: 0.401, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.2639, root_relative_squared_error: 0.5305, scimark_benchmark: 1282.9445, usercpu_time_millis: 689.187, usercpu_time_millis_testing: 23.305, usercpu_time_millis_training: 665.882,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.973, f_measure: 0.9082, kappa: 0.8141, kb_relative_information_score: 7959.8411, mean_absolute_error: 0.2583, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.9096, predictive_accuracy: 0.9086, prior_entropy: 0.9924, recall: 0.9086, relative_absolute_error: 0.522, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.3034, root_relative_squared_error: 0.6099, scimark_benchmark: 1260.9906, usercpu_time_millis: 440.742, usercpu_time_millis_testing: 34.058, usercpu_time_millis_training: 406.684,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9796, f_measure: 0.9276, kappa: 0.8534, kb_relative_information_score: 9684.5633, mean_absolute_error: 0.196, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.928, predictive_accuracy: 0.9277, prior_entropy: 0.9924, recall: 0.9277, relative_absolute_error: 0.3962, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.2625, root_relative_squared_error: 0.5279, scimark_benchmark: 1265.9349, usercpu_time_millis: 323.605, usercpu_time_millis_testing: 9.761, usercpu_time_millis_training: 313.844,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9653, f_measure: 0.8972, kappa: 0.7918, kb_relative_information_score: 8043.6491, mean_absolute_error: 0.2534, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.8983, predictive_accuracy: 0.8976, prior_entropy: 0.9924, recall: 0.8976, relative_absolute_error: 0.5122, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.3058, root_relative_squared_error: 0.6147, scimark_benchmark: 1280.125, usercpu_time_millis: 363.09, usercpu_time_millis_testing: 26.504, usercpu_time_millis_training: 336.586,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9661, f_measure: 0.8993, kappa: 0.796, kb_relative_information_score: 8212.7831, mean_absolute_error: 0.2474, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.9004, predictive_accuracy: 0.8997, prior_entropy: 0.9924, recall: 0.8997, relative_absolute_error: 0.5, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.302, root_relative_squared_error: 0.6073, scimark_benchmark: 1290.0886, usercpu_time_millis: 236.617, usercpu_time_millis_testing: 14.1, usercpu_time_millis_training: 222.517,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9687, f_measure: 0.9037, kappa: 0.8049, kb_relative_information_score: 8407.0765, mean_absolute_error: 0.2408, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.9046, predictive_accuracy: 0.904, prior_entropy: 0.9924, recall: 0.904, relative_absolute_error: 0.4866, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.2966, root_relative_squared_error: 0.5963, scimark_benchmark: 1251.6146, usercpu_time_millis: 619.356, usercpu_time_millis_testing: 36.336, usercpu_time_millis_training: 583.02,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.977, f_measure: 0.9216, kappa: 0.8414, kb_relative_information_score: 9424.6388, mean_absolute_error: 0.205, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.9221, predictive_accuracy: 0.9218, prior_entropy: 0.9924, recall: 0.9218, relative_absolute_error: 0.4144, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.2702, root_relative_squared_error: 0.5433, scimark_benchmark: 1251.4399, usercpu_time_millis: 560.057, usercpu_time_millis_testing: 18.05, usercpu_time_millis_training: 542.007,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9718, f_measure: 0.9108, kappa: 0.8193, kb_relative_information_score: 8883.4806, mean_absolute_error: 0.2237, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.9114, predictive_accuracy: 0.911, prior_entropy: 0.9924, recall: 0.911, relative_absolute_error: 0.4522, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.2853, root_relative_squared_error: 0.5736, scimark_benchmark: 1254.9614, usercpu_time_millis: 649.325, usercpu_time_millis_testing: 30.179, usercpu_time_millis_training: 619.146,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9735, f_measure: 0.9141, kappa: 0.8261, kb_relative_information_score: 9012.6876, mean_absolute_error: 0.2195, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.9147, predictive_accuracy: 0.9144, prior_entropy: 0.9924, recall: 0.9144, relative_absolute_error: 0.4436, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.2814, root_relative_squared_error: 0.5657, scimark_benchmark: 1283.0362, usercpu_time_millis: 669.256, usercpu_time_millis_testing: 26.115, usercpu_time_millis_training: 643.141,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 8.2052, mean_absolute_error: 0.4945, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, predictive_accuracy: 0.5512, prior_entropy: 0.9924, recall: 0.5512, relative_absolute_error: 0.9996, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.4974, root_relative_squared_error: 1,

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