OpenML
Supervised Classification on eeg-eye-state

Supervised Classification on eeg-eye-state

Task 14951 Supervised Classification eeg-eye-state 66579 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6885, f_measure: 0.6226, kappa: 0.237, kb_relative_information_score: 1913.7441, mean_absolute_error: 0.4397, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.6275, predictive_accuracy: 0.6302, prior_entropy: 0.9924, recall: 0.6302, relative_absolute_error: 0.8887, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.4727, root_relative_squared_error: 0.9505, scimark_benchmark: 1273.3823, usercpu_time_millis: 1028.976, usercpu_time_millis_testing: 10.832, usercpu_time_millis_training: 1018.144,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9356, f_measure: 0.8749, kappa: 0.7468, kb_relative_information_score: 9517.3919, mean_absolute_error: 0.1937, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.8749, predictive_accuracy: 0.875, prior_entropy: 0.9924, recall: 0.875, relative_absolute_error: 0.3915, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.3079, root_relative_squared_error: 0.619, scimark_benchmark: 1292.2758, usercpu_time_millis: 1784.76, usercpu_time_millis_testing: 10.197, usercpu_time_millis_training: 1774.563,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6185, f_measure: 0.5768, kappa: 0.1647, kb_relative_information_score: 893.2331, mean_absolute_error: 0.4703, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.6053, predictive_accuracy: 0.6042, prior_entropy: 0.9924, recall: 0.6042, relative_absolute_error: 0.9506, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.4835, root_relative_squared_error: 0.9722, scimark_benchmark: 1290.4022, usercpu_time_millis: 677.799, usercpu_time_millis_testing: 5.665, usercpu_time_millis_training: 672.134,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5845, f_measure: 0.3918, kappa: 0, kb_relative_information_score: 1.5043, mean_absolute_error: 0.4947, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.5282, predictive_accuracy: 0.5512, prior_entropy: 0.9924, recall: 0.5512, relative_absolute_error: 0.9999, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.4974, root_relative_squared_error: 1, scimark_benchmark: 1286.5428, usercpu_time_millis: 635.23, usercpu_time_millis_testing: 6.074, usercpu_time_millis_training: 629.156,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5098, f_measure: 0.3918, kappa: 0, kb_relative_information_score: 1.5645, mean_absolute_error: 0.4947, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.5282, predictive_accuracy: 0.5512, prior_entropy: 0.9924, recall: 0.5512, relative_absolute_error: 0.9999, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.4974, root_relative_squared_error: 1, scimark_benchmark: 1294.4665, usercpu_time_millis: 679.85, usercpu_time_millis_testing: 6.699, usercpu_time_millis_training: 673.151,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4965, f_measure: 0.3918, kappa: 0, kb_relative_information_score: 1.4908, mean_absolute_error: 0.4947, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.5282, predictive_accuracy: 0.5512, prior_entropy: 0.9924, recall: 0.5512, relative_absolute_error: 0.9999, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.4974, root_relative_squared_error: 1, scimark_benchmark: 1291.5286, usercpu_time_millis: 813.707, usercpu_time_millis_testing: 8.305, usercpu_time_millis_training: 805.402,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.617, f_measure: 0.5638, kappa: 0.1371, kb_relative_information_score: 776.3436, mean_absolute_error: 0.4734, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.5874, predictive_accuracy: 0.5906, prior_entropy: 0.9924, recall: 0.5906, relative_absolute_error: 0.9568, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.4851, root_relative_squared_error: 0.9754, scimark_benchmark: 1266.9006, usercpu_time_millis: 571.484, usercpu_time_millis_testing: 5.881, usercpu_time_millis_training: 565.603,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.559, f_measure: 0.3917, kappa: -0.0003, kb_relative_information_score: -3.1847, mean_absolute_error: 0.4949, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.3038, predictive_accuracy: 0.5511, prior_entropy: 0.9924, recall: 0.5511, relative_absolute_error: 1.0002, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.4975, root_relative_squared_error: 1.0003, scimark_benchmark: 1292.8013, usercpu_time_millis: 654.835, usercpu_time_millis_testing: 5.723, usercpu_time_millis_training: 649.112,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9249, f_measure: 0.8708, kappa: 0.7387, kb_relative_information_score: 8803.7681, mean_absolute_error: 0.2196, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.8708, predictive_accuracy: 0.871, prior_entropy: 0.9924, recall: 0.871, relative_absolute_error: 0.4439, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.3224, root_relative_squared_error: 0.6482, scimark_benchmark: 1273.1388, usercpu_time_millis: 3641.908, usercpu_time_millis_testing: 7.086, usercpu_time_millis_training: 3634.822,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6185, f_measure: 0.5754, kappa: 0.1625, kb_relative_information_score: 883.1396, mean_absolute_error: 0.4706, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.6045, predictive_accuracy: 0.6033, prior_entropy: 0.9924, recall: 0.6033, relative_absolute_error: 0.9512, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.4836, root_relative_squared_error: 0.9724, scimark_benchmark: 1300.2876, usercpu_time_millis: 599.529, usercpu_time_millis_testing: 5.147, usercpu_time_millis_training: 594.382,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4799, f_measure: 0.3917, kappa: -0.0003, kb_relative_information_score: -2.5199, mean_absolute_error: 0.4948, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.3038, predictive_accuracy: 0.5511, prior_entropy: 0.9924, recall: 0.5511, relative_absolute_error: 1.0002, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.4975, root_relative_squared_error: 1.0003, scimark_benchmark: 1277.0238, usercpu_time_millis: 864.65, usercpu_time_millis_testing: 6.611, usercpu_time_millis_training: 858.039,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6841, f_measure: 0.6284, kappa: 0.2588, kb_relative_information_score: 1486.3751, mean_absolute_error: 0.4543, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.6522, predictive_accuracy: 0.6463, prior_entropy: 0.9924, recall: 0.6463, relative_absolute_error: 0.9183, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.4753, root_relative_squared_error: 0.9556, scimark_benchmark: 1292.9174, usercpu_time_millis: 14910.857, usercpu_time_millis_testing: 4.599, usercpu_time_millis_training: 14906.258,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6964, f_measure: 0.62, kappa: 0.2369, kb_relative_information_score: 1920.4122, mean_absolute_error: 0.44, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.6337, predictive_accuracy: 0.6336, prior_entropy: 0.9924, recall: 0.6336, relative_absolute_error: 0.8894, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.4685, root_relative_squared_error: 0.9419, scimark_benchmark: 1287.0801, usercpu_time_millis: 1082.891, usercpu_time_millis_testing: 11.659, usercpu_time_millis_training: 1071.232,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6724, f_measure: 0.6065, kappa: 0.2128, kb_relative_information_score: 1720.5278, mean_absolute_error: 0.4455, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.6236, predictive_accuracy: 0.6234, prior_entropy: 0.9924, recall: 0.6234, relative_absolute_error: 0.9004, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.4707, root_relative_squared_error: 0.9464, scimark_benchmark: 1286.909, usercpu_time_millis: 1111.279, usercpu_time_millis_testing: 10.304, usercpu_time_millis_training: 1100.975,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7885, f_measure: 0.7233, kappa: 0.4412, kb_relative_information_score: 4271.0401, mean_absolute_error: 0.3667, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.7236, predictive_accuracy: 0.7232, prior_entropy: 0.9924, recall: 0.7232, relative_absolute_error: 0.7413, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.4346, root_relative_squared_error: 0.8739, scimark_benchmark: 1282.7412, usercpu_time_millis: 1135.674, usercpu_time_millis_testing: 11.985, usercpu_time_millis_training: 1123.689,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.85, f_measure: 0.783, kappa: 0.5628, kb_relative_information_score: 4949.9634, mean_absolute_error: 0.3444, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.7844, predictive_accuracy: 0.7826, prior_entropy: 0.9924, recall: 0.7826, relative_absolute_error: 0.6961, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.4125, root_relative_squared_error: 0.8295, scimark_benchmark: 1272.4247, usercpu_time_millis: 1387.679, usercpu_time_millis_testing: 12.987, usercpu_time_millis_training: 1374.692,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6125, f_measure: 0.569, kappa: 0.1308, kb_relative_information_score: 794.559, mean_absolute_error: 0.4722, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.574, predictive_accuracy: 0.5804, prior_entropy: 0.9924, recall: 0.5804, relative_absolute_error: 0.9545, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.4866, root_relative_squared_error: 0.9783, scimark_benchmark: 1266.9326, usercpu_time_millis: 1164.801, usercpu_time_millis_testing: 11.804, usercpu_time_millis_training: 1152.997,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4904, f_measure: 0.3917, kappa: -0.0001, kb_relative_information_score: -1.5069, mean_absolute_error: 0.4948, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.3038, predictive_accuracy: 0.5511, prior_entropy: 0.9924, recall: 0.5511, relative_absolute_error: 1.0001, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.4975, root_relative_squared_error: 1.0002, scimark_benchmark: 1294.441, usercpu_time_millis: 1030.223, usercpu_time_millis_testing: 4.696, usercpu_time_millis_training: 1025.527,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.649, f_measure: 0.6022, kappa: 0.206, kb_relative_information_score: 1337.434, mean_absolute_error: 0.4573, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.6217, predictive_accuracy: 0.6209, prior_entropy: 0.9924, recall: 0.6209, relative_absolute_error: 0.9243, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.4779, root_relative_squared_error: 0.9608, scimark_benchmark: 1273.8336, usercpu_time_millis: 2169.97, usercpu_time_millis_testing: 5.209, usercpu_time_millis_training: 2164.761,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.62, f_measure: 0.5857, kappa: 0.1776, kb_relative_information_score: 1044.7339, mean_absolute_error: 0.4658, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.6094, predictive_accuracy: 0.6089, prior_entropy: 0.9924, recall: 0.6089, relative_absolute_error: 0.9415, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.4819, root_relative_squared_error: 0.9688, scimark_benchmark: 1263.3985, usercpu_time_millis: 746.784, usercpu_time_millis_testing: 5.269, usercpu_time_millis_training: 741.515,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.3917, kb_relative_information_score: -0.6903, 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: 1855.6669, usercpu_time_millis: 7.159, usercpu_time_millis_testing: 1.126, usercpu_time_millis_training: 6.033,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.468, f_measure: 0.3917, kappa: -0.0001, kb_relative_information_score: -1.5418, mean_absolute_error: 0.4948, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.3038, predictive_accuracy: 0.5511, prior_entropy: 0.9924, recall: 0.5511, relative_absolute_error: 1.0001, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.4974, root_relative_squared_error: 1.0001, scimark_benchmark: 1300.8187, usercpu_time_millis: 1963.191, usercpu_time_millis_testing: 10.927, usercpu_time_millis_training: 1952.264,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4636, f_measure: 0.3917, kappa: -0.0001, kb_relative_information_score: -1.5995, mean_absolute_error: 0.4948, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.3038, predictive_accuracy: 0.5511, prior_entropy: 0.9924, recall: 0.5511, relative_absolute_error: 1.0001, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.4975, root_relative_squared_error: 1.0002, scimark_benchmark: 1290.7792, usercpu_time_millis: 605.073, usercpu_time_millis_testing: 5.521, usercpu_time_millis_training: 599.552,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6253, f_measure: 0.5937, kappa: 0.1919, kb_relative_information_score: 1121.9492, mean_absolute_error: 0.4636, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.6162, predictive_accuracy: 0.6152, prior_entropy: 0.9924, recall: 0.6152, relative_absolute_error: 0.937, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.4806, root_relative_squared_error: 0.9662, scimark_benchmark: 1281.1032, usercpu_time_millis: 909.492, usercpu_time_millis_testing: 5.346, usercpu_time_millis_training: 904.146,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4573, f_measure: 0.3918, kappa: 0, kb_relative_information_score: 1.5554, mean_absolute_error: 0.4947, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.5282, predictive_accuracy: 0.5512, prior_entropy: 0.9924, recall: 0.5512, relative_absolute_error: 0.9999, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.4974, root_relative_squared_error: 1, scimark_benchmark: 1280.1831, usercpu_time_millis: 614.607, usercpu_time_millis_testing: 6.064, usercpu_time_millis_training: 608.543,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6241, f_measure: 0.5177, kappa: 0.1169, kb_relative_information_score: 576.7286, mean_absolute_error: 0.4799, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.6331, predictive_accuracy: 0.5939, prior_entropy: 0.9924, recall: 0.5939, relative_absolute_error: 0.9701, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.4884, root_relative_squared_error: 0.982, scimark_benchmark: 1844.3569, usercpu_time_millis: 16.272, usercpu_time_millis_testing: 1.976, usercpu_time_millis_training: 14.296,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8287, f_measure: 0.7498, kappa: 0.4935, kb_relative_information_score: 3727.5515, mean_absolute_error: 0.3897, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.7564, predictive_accuracy: 0.7536, prior_entropy: 0.9924, recall: 0.7536, relative_absolute_error: 0.7876, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.4205, root_relative_squared_error: 0.8455, scimark_benchmark: 2130.3115, usercpu_time_millis: 8.606, usercpu_time_millis_testing: 0.53, usercpu_time_millis_training: 8.076,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8422, f_measure: 0.7615, kappa: 0.5171, kb_relative_information_score: 4005.1246, mean_absolute_error: 0.3812, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.7679, predictive_accuracy: 0.765, prior_entropy: 0.9924, recall: 0.765, relative_absolute_error: 0.7705, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.4136, root_relative_squared_error: 0.8317, scimark_benchmark: 1835.778, usercpu_time_millis: 57.611, usercpu_time_millis_testing: 5.145, usercpu_time_millis_training: 52.466,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9799, f_measure: 0.9248, kappa: 0.8478, kb_relative_information_score: 9470.9927, mean_absolute_error: 0.204, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.9252, predictive_accuracy: 0.925, prior_entropy: 0.9924, recall: 0.925, relative_absolute_error: 0.4124, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.2667, root_relative_squared_error: 0.5363, scimark_benchmark: 1075.2187, usercpu_time_millis: 84.914, usercpu_time_millis_testing: 4.197, usercpu_time_millis_training: 80.717,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9421, f_measure: 0.8667, kappa: 0.73, kb_relative_information_score: 7312.4725, mean_absolute_error: 0.2753, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.8681, predictive_accuracy: 0.8674, prior_entropy: 0.9924, recall: 0.8674, relative_absolute_error: 0.5564, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.3318, root_relative_squared_error: 0.6671, scimark_benchmark: 1739.6506, usercpu_time_millis: 123.204, usercpu_time_millis_testing: 6.92, usercpu_time_millis_training: 116.284,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9321, f_measure: 0.8538, kappa: 0.7038, kb_relative_information_score: 6859.8219, mean_absolute_error: 0.29, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.8558, predictive_accuracy: 0.8547, prior_entropy: 0.9924, recall: 0.8547, relative_absolute_error: 0.5862, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.344, root_relative_squared_error: 0.6916, scimark_benchmark: 1700.3928, usercpu_time_millis: 209.573, usercpu_time_millis_testing: 9.908, usercpu_time_millis_training: 199.665,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9502, f_measure: 0.8673, kappa: 0.7311, kb_relative_information_score: 6029.6175, mean_absolute_error: 0.3223, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.8713, predictive_accuracy: 0.8684, prior_entropy: 0.9924, recall: 0.8684, relative_absolute_error: 0.6515, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.3536, root_relative_squared_error: 0.7109, scimark_benchmark: 1062.2651, usercpu_time_millis: 101.69, usercpu_time_millis_testing: 8.725, usercpu_time_millis_training: 92.965,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.3917, kb_relative_information_score: -0.1757, 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: 1232.6947, usercpu_time_millis: 19.51, usercpu_time_millis_testing: 3.379, usercpu_time_millis_training: 16.131,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9813, f_measure: 0.9292, kappa: 0.8566, kb_relative_information_score: 9590.4101, mean_absolute_error: 0.2, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.9296, predictive_accuracy: 0.9293, prior_entropy: 0.9924, recall: 0.9293, relative_absolute_error: 0.4043, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.2629, root_relative_squared_error: 0.5286, scimark_benchmark: 1229.2728, usercpu_time_millis: 70.841, usercpu_time_millis_testing: 2.937, usercpu_time_millis_training: 67.904,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9274, f_measure: 0.842, kappa: 0.6799, kb_relative_information_score: 5915.4938, mean_absolute_error: 0.3233, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.8458, predictive_accuracy: 0.8434, prior_entropy: 0.9924, recall: 0.8434, relative_absolute_error: 0.6535, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.3617, root_relative_squared_error: 0.7272, scimark_benchmark: 1725.2865, usercpu_time_millis: 119.924, usercpu_time_millis_testing: 10.636, usercpu_time_millis_training: 109.288,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6181, f_measure: 0.5669, kappa: 0.1457, kb_relative_information_score: 816.8894, mean_absolute_error: 0.4724, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.5942, predictive_accuracy: 0.5954, prior_entropy: 0.9924, recall: 0.5954, relative_absolute_error: 0.9549, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.4846, root_relative_squared_error: 0.9743, scimark_benchmark: 1254.564, usercpu_time_millis: 610.213, usercpu_time_millis_testing: 6.183, usercpu_time_millis_training: 604.03,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4467, f_measure: 0.3917, kappa: -0.0001, kb_relative_information_score: -1.579, mean_absolute_error: 0.4948, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.3038, predictive_accuracy: 0.5511, prior_entropy: 0.9924, recall: 0.5511, relative_absolute_error: 1.0001, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.4975, root_relative_squared_error: 1.0002, scimark_benchmark: 1268.6095, usercpu_time_millis: 630.817, usercpu_time_millis_testing: 4.923, usercpu_time_millis_training: 625.894,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8869, f_measure: 0.8259, kappa: 0.6485, kb_relative_information_score: 6195.9634, mean_absolute_error: 0.3066, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.8262, predictive_accuracy: 0.8258, prior_entropy: 0.9924, recall: 0.8258, relative_absolute_error: 0.6197, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.3813, root_relative_squared_error: 0.7667, scimark_benchmark: 1265.3192, usercpu_time_millis: 1976.106, usercpu_time_millis_testing: 12.756, usercpu_time_millis_training: 1963.35,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4625, f_measure: 0.3918, kappa: 0, kb_relative_information_score: 1.1523, mean_absolute_error: 0.4947, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.5282, predictive_accuracy: 0.5512, prior_entropy: 0.9924, recall: 0.5512, relative_absolute_error: 0.9999, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.4974, root_relative_squared_error: 1, scimark_benchmark: 1237.4085, usercpu_time_millis: 692.88, usercpu_time_millis_testing: 5.504, usercpu_time_millis_training: 687.376,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9502, f_measure: 0.8817, kappa: 0.7607, kb_relative_information_score: 9974.6208, mean_absolute_error: 0.1762, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.8818, predictive_accuracy: 0.8818, prior_entropy: 0.9924, recall: 0.8818, relative_absolute_error: 0.3562, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.2939, root_relative_squared_error: 0.5908, scimark_benchmark: 1266.8158, usercpu_time_millis: 1198.356, usercpu_time_millis_testing: 4.646, usercpu_time_millis_training: 1193.71,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5207, f_measure: 0.3918, kappa: -0.0001, kb_relative_information_score: -0.5763, mean_absolute_error: 0.4948, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.4534, predictive_accuracy: 0.5511, prior_entropy: 0.9924, recall: 0.5511, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.4974, root_relative_squared_error: 1.0001, scimark_benchmark: 1256.3287, usercpu_time_millis: 638.805, usercpu_time_millis_testing: 5.891, usercpu_time_millis_training: 632.914,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7932, f_measure: 0.7118, kappa: 0.4165, kb_relative_information_score: 4155.4638, mean_absolute_error: 0.369, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.7174, predictive_accuracy: 0.7162, prior_entropy: 0.9924, recall: 0.7162, relative_absolute_error: 0.7458, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.4277, root_relative_squared_error: 0.86, scimark_benchmark: 1241.6304, usercpu_time_millis: 1246.358, usercpu_time_millis_testing: 9.028, usercpu_time_millis_training: 1237.33,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6243, f_measure: 0.5925, kappa: 0.1905, kb_relative_information_score: 1109.2578, mean_absolute_error: 0.4639, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.6164, predictive_accuracy: 0.6149, prior_entropy: 0.9924, recall: 0.6149, relative_absolute_error: 0.9377, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.4807, root_relative_squared_error: 0.9665, scimark_benchmark: 1253.2744, usercpu_time_millis: 968.236, usercpu_time_millis_testing: 5.438, usercpu_time_millis_training: 962.798,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6183, f_measure: 0.5698, kappa: 0.1519, kb_relative_information_score: 832.3596, mean_absolute_error: 0.472, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.5982, predictive_accuracy: 0.5984, prior_entropy: 0.9924, recall: 0.5984, relative_absolute_error: 0.9541, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.4843, root_relative_squared_error: 0.9738, scimark_benchmark: 1262.7073, usercpu_time_millis: 621.341, usercpu_time_millis_testing: 5.959, usercpu_time_millis_training: 615.382,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8496, f_measure: 0.7954, kappa: 0.5871, kb_relative_information_score: 5710.3971, mean_absolute_error: 0.3224, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.7959, predictive_accuracy: 0.7952, prior_entropy: 0.9924, recall: 0.7952, relative_absolute_error: 0.6516, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.4016, root_relative_squared_error: 0.8074, scimark_benchmark: 1244.6959, usercpu_time_millis: 1113.768, usercpu_time_millis_testing: 11.32, usercpu_time_millis_training: 1102.448,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5867, f_measure: 0.3918, kappa: 0, kb_relative_information_score: 1.4785, mean_absolute_error: 0.4947, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.5282, predictive_accuracy: 0.5512, prior_entropy: 0.9924, recall: 0.5512, relative_absolute_error: 0.9999, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.4974, root_relative_squared_error: 1, scimark_benchmark: 1244.4815, usercpu_time_millis: 638.905, usercpu_time_millis_testing: 5.801, usercpu_time_millis_training: 633.104,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4942, f_measure: 0.3918, kappa: 0, kb_relative_information_score: 1.495, mean_absolute_error: 0.4947, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.5282, predictive_accuracy: 0.5512, prior_entropy: 0.9924, recall: 0.5512, relative_absolute_error: 0.9999, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.4974, root_relative_squared_error: 1, scimark_benchmark: 1276.3764, usercpu_time_millis: 752.232, usercpu_time_millis_testing: 7.561, usercpu_time_millis_training: 744.671,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6828, f_measure: 0.6209, kappa: 0.249, kb_relative_information_score: 1500.0168, mean_absolute_error: 0.4538, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.653, predictive_accuracy: 0.6433, prior_entropy: 0.9924, recall: 0.6433, relative_absolute_error: 0.9173, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.4759, root_relative_squared_error: 0.9568, scimark_benchmark: 1264.9618, usercpu_time_millis: 14651.422, usercpu_time_millis_testing: 4.777, usercpu_time_millis_training: 14646.645,
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: 0.854, f_measure: 0.7314, kappa: 0.4637, kb_relative_information_score: 4058.6443, mean_absolute_error: 0.3738, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.7669, predictive_accuracy: 0.7439, prior_entropy: 0.9924, recall: 0.7439, relative_absolute_error: 0.7555, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.4239, root_relative_squared_error: 0.8524, scimark_benchmark: 1255.448, usercpu_time_millis: 2714.698, usercpu_time_millis_testing: 12.616, usercpu_time_millis_training: 2702.082,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.681, f_measure: 0.6191, kappa: 0.2461, kb_relative_information_score: 1323.3827, mean_absolute_error: 0.4592, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.652, predictive_accuracy: 0.6421, prior_entropy: 0.9924, recall: 0.6421, relative_absolute_error: 0.9281, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.4766, root_relative_squared_error: 0.9582, scimark_benchmark: 1252.0624, usercpu_time_millis: 10117.1, usercpu_time_millis_testing: 4.598, usercpu_time_millis_training: 10112.502,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4057, f_measure: 0.3917, kappa: -0.0001, kb_relative_information_score: -1.4356, mean_absolute_error: 0.4948, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.3038, predictive_accuracy: 0.5511, prior_entropy: 0.9924, recall: 0.5511, relative_absolute_error: 1.0001, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.4975, root_relative_squared_error: 1.0002, scimark_benchmark: 1266.4472, usercpu_time_millis: 1193.688, usercpu_time_millis_testing: 4.659, usercpu_time_millis_training: 1189.029,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4749, f_measure: 0.3917, kappa: -0.0003, kb_relative_information_score: -2.8111, mean_absolute_error: 0.4948, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.3038, predictive_accuracy: 0.5511, prior_entropy: 0.9924, recall: 0.5511, relative_absolute_error: 1.0001, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.4974, root_relative_squared_error: 1.0001, scimark_benchmark: 1243.6613, usercpu_time_millis: 1940.741, usercpu_time_millis_testing: 11.294, usercpu_time_millis_training: 1929.447,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7373, f_measure: 0.6598, kappa: 0.3125, kb_relative_information_score: 2810.1771, mean_absolute_error: 0.4127, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.6669, predictive_accuracy: 0.667, prior_entropy: 0.9924, recall: 0.667, relative_absolute_error: 0.8342, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.4532, root_relative_squared_error: 0.9112, scimark_benchmark: 1264.4935, usercpu_time_millis: 1059.955, usercpu_time_millis_testing: 10.188, usercpu_time_millis_training: 1049.767,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7996, f_measure: 0.7124, kappa: 0.4178, kb_relative_information_score: 4326.0836, mean_absolute_error: 0.3632, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.7179, predictive_accuracy: 0.7168, prior_entropy: 0.9924, recall: 0.7168, relative_absolute_error: 0.734, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.4245, root_relative_squared_error: 0.8535, scimark_benchmark: 1273.3516, usercpu_time_millis: 1108.507, usercpu_time_millis_testing: 8.478, usercpu_time_millis_training: 1100.029,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.586, f_measure: 0.3918, kappa: 0, kb_relative_information_score: 1.4538, mean_absolute_error: 0.4947, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.5282, predictive_accuracy: 0.5512, prior_entropy: 0.9924, recall: 0.5512, relative_absolute_error: 0.9999, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.4974, root_relative_squared_error: 1, scimark_benchmark: 1249.1634, usercpu_time_millis: 634.188, usercpu_time_millis_testing: 5.651, usercpu_time_millis_training: 628.537,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6398, f_measure: 0.5973, kappa: 0.1981, kb_relative_information_score: 1262.748, mean_absolute_error: 0.4594, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.6189, predictive_accuracy: 0.6178, prior_entropy: 0.9924, recall: 0.6178, relative_absolute_error: 0.9285, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.4788, root_relative_squared_error: 0.9626, scimark_benchmark: 1254.1536, usercpu_time_millis: 1633.445, usercpu_time_millis_testing: 5.065, usercpu_time_millis_training: 1628.38,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5179, f_measure: 0.3918, kappa: -0.0001, kb_relative_information_score: -0.587, mean_absolute_error: 0.4948, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.4534, predictive_accuracy: 0.5511, prior_entropy: 0.9924, recall: 0.5511, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.4974, root_relative_squared_error: 1.0001, scimark_benchmark: 1272.4254, usercpu_time_millis: 602.241, usercpu_time_millis_testing: 5.69, usercpu_time_millis_training: 596.551,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.755, f_measure: 0.5414, kappa: 0.1649, kb_relative_information_score: 1185.909, mean_absolute_error: 0.461, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.6963, predictive_accuracy: 0.6166, prior_entropy: 0.9924, recall: 0.6166, relative_absolute_error: 0.9318, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.4761, root_relative_squared_error: 0.9572, scimark_benchmark: 1251.9316, usercpu_time_millis: 2249.816, usercpu_time_millis_testing: 12.64, usercpu_time_millis_training: 2237.176,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6506, f_measure: 0.424, kappa: 0.0309, kb_relative_information_score: 221.741, mean_absolute_error: 0.4888, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.6711, predictive_accuracy: 0.5632, prior_entropy: 0.9924, recall: 0.5632, relative_absolute_error: 0.9879, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.493, root_relative_squared_error: 0.9913, scimark_benchmark: 1258.3209, usercpu_time_millis: 2129.905, usercpu_time_millis_testing: 13.107, usercpu_time_millis_training: 2116.798,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6231, f_measure: 0.5916, kappa: 0.1885, kb_relative_information_score: 1093.655, mean_absolute_error: 0.4644, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.615, predictive_accuracy: 0.6138, prior_entropy: 0.9924, recall: 0.6138, relative_absolute_error: 0.9387, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.481, root_relative_squared_error: 0.967, scimark_benchmark: 1255.6973, usercpu_time_millis: 854.777, usercpu_time_millis_testing: 5.633, usercpu_time_millis_training: 849.144,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9645, f_measure: 0.9026, kappa: 0.803, kb_relative_information_score: 10698.6378, mean_absolute_error: 0.1516, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.9027, predictive_accuracy: 0.9027, prior_entropy: 0.9924, recall: 0.9027, relative_absolute_error: 0.3065, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.2675, root_relative_squared_error: 0.5378, scimark_benchmark: 1238.3913, usercpu_time_millis: 6580.846, usercpu_time_millis_testing: 3.323, usercpu_time_millis_training: 6577.523,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5863, f_measure: 0.3918, kappa: 0, kb_relative_information_score: 1.48, mean_absolute_error: 0.4947, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.5282, predictive_accuracy: 0.5512, prior_entropy: 0.9924, recall: 0.5512, relative_absolute_error: 0.9999, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.4974, root_relative_squared_error: 1, scimark_benchmark: 1259.78, usercpu_time_millis: 624.437, usercpu_time_millis_testing: 5.87, usercpu_time_millis_training: 618.567,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5099, f_measure: 0.3918, kappa: 0, kb_relative_information_score: 1.5738, mean_absolute_error: 0.4947, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.5282, predictive_accuracy: 0.5512, prior_entropy: 0.9924, recall: 0.5512, relative_absolute_error: 0.9999, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.4974, root_relative_squared_error: 1, scimark_benchmark: 1257.5276, usercpu_time_millis: 673.19, usercpu_time_millis_testing: 6.734, usercpu_time_millis_training: 666.456,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5047, f_measure: 0.3918, kappa: -0.0001, kb_relative_information_score: -0.4791, mean_absolute_error: 0.4948, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.4534, predictive_accuracy: 0.5511, prior_entropy: 0.9924, recall: 0.5511, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.4974, root_relative_squared_error: 1.0001, scimark_benchmark: 1260.9823, usercpu_time_millis: 691.504, usercpu_time_millis_testing: 7.589, usercpu_time_millis_training: 683.915,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.679, f_measure: 0.6077, kappa: 0.214, kb_relative_information_score: 1841.9924, mean_absolute_error: 0.4416, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.6231, predictive_accuracy: 0.6234, prior_entropy: 0.9924, recall: 0.6234, relative_absolute_error: 0.8926, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.4691, root_relative_squared_error: 0.9432, scimark_benchmark: 1244.5647, usercpu_time_millis: 1122.842, usercpu_time_millis_testing: 10.826, usercpu_time_millis_training: 1112.016,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6144, f_measure: 0.5648, kappa: 0.126, kb_relative_information_score: 802.6403, mean_absolute_error: 0.4722, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.5736, predictive_accuracy: 0.5803, prior_entropy: 0.9924, recall: 0.5803, relative_absolute_error: 0.9544, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.4868, root_relative_squared_error: 0.9787, scimark_benchmark: 1255.5863, usercpu_time_millis: 1148.525, usercpu_time_millis_testing: 10.849, usercpu_time_millis_training: 1137.676,

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

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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

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