Task
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: 0.9429, f_measure: 0.8664, kappa: 0.7293, kb_relative_information_score: 7516.1324, mean_absolute_error: 0.2678, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.8676, predictive_accuracy: 0.867, prior_entropy: 0.9924, recall: 0.867, relative_absolute_error: 0.5413, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.3282, root_relative_squared_error: 0.6598, scimark_benchmark: 1789.4901, usercpu_time_millis: 63.599, usercpu_time_millis_testing: 2.064, usercpu_time_millis_training: 61.535,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8274, f_measure: 0.7542, kappa: 0.5023, kb_relative_information_score: 3189.64, mean_absolute_error: 0.4074, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.7597, predictive_accuracy: 0.7575, prior_entropy: 0.9924, recall: 0.7575, relative_absolute_error: 0.8235, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.4291, root_relative_squared_error: 0.8627, scimark_benchmark: 1835.1117, usercpu_time_millis: 47.689, usercpu_time_millis_testing: 4.622, usercpu_time_millis_training: 43.067,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9668, f_measure: 0.9048, kappa: 0.8071, kb_relative_information_score: 8897.5675, mean_absolute_error: 0.2218, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.9053, predictive_accuracy: 0.905, prior_entropy: 0.9924, recall: 0.905, relative_absolute_error: 0.4483, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.2892, root_relative_squared_error: 0.5814, scimark_benchmark: 1843.903, usercpu_time_millis: 41.819, usercpu_time_millis_testing: 1.187, usercpu_time_millis_training: 40.632,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7054, f_measure: 0.6428, kappa: 0.2824, kb_relative_information_score: 1140.8891, mean_absolute_error: 0.4653, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.6578, predictive_accuracy: 0.6552, prior_entropy: 0.9924, recall: 0.6552, relative_absolute_error: 0.9404, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.4744, root_relative_squared_error: 0.9538, scimark_benchmark: 1805.3732, usercpu_time_millis: 43.512, usercpu_time_millis_testing: 3.83, usercpu_time_millis_training: 39.682,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9167, f_measure: 0.8306, kappa: 0.6567, kb_relative_information_score: 5898.4461, mean_absolute_error: 0.3225, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.8342, predictive_accuracy: 0.832, prior_entropy: 0.9924, recall: 0.832, relative_absolute_error: 0.6517, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.3654, root_relative_squared_error: 0.7347, scimark_benchmark: 1731.9625, usercpu_time_millis: 39.732, usercpu_time_millis_testing: 2.457, usercpu_time_millis_training: 37.275,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9593, f_measure: 0.8879, kappa: 0.773, kb_relative_information_score: 7901.8184, mean_absolute_error: 0.2571, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.8889, predictive_accuracy: 0.8883, prior_entropy: 0.9924, recall: 0.8883, relative_absolute_error: 0.5197, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.312, root_relative_squared_error: 0.6274, scimark_benchmark: 1842.2951, usercpu_time_millis: 31.008, usercpu_time_millis_testing: 1.864, usercpu_time_millis_training: 29.144,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6678, f_measure: 0.5269, kappa: 0.1268, kb_relative_information_score: 596.3559, mean_absolute_error: 0.4798, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.6337, predictive_accuracy: 0.5975, prior_entropy: 0.9924, recall: 0.5975, relative_absolute_error: 0.9698, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.4859, root_relative_squared_error: 0.977, scimark_benchmark: 1837.8616, usercpu_time_millis: 25.17, usercpu_time_millis_testing: 2.861, usercpu_time_millis_training: 22.309,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9825, f_measure: 0.9314, kappa: 0.8611, kb_relative_information_score: 10008.1587, mean_absolute_error: 0.1845, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.9317, predictive_accuracy: 0.9315, prior_entropy: 0.9924, recall: 0.9315, relative_absolute_error: 0.373, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.2531, root_relative_squared_error: 0.5088, scimark_benchmark: 1837.7149, usercpu_time_millis: 18.226, usercpu_time_millis_testing: 0.806, usercpu_time_millis_training: 17.42,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4997, f_measure: 0.3917, kb_relative_information_score: 0.2157, 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: 1727.103, usercpu_time_millis: 17.921, usercpu_time_millis_testing: 2.689, usercpu_time_millis_training: 15.232,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6934, f_measure: 0.6084, kappa: 0.2216, kb_relative_information_score: 1039.7929, mean_absolute_error: 0.4679, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.6338, predictive_accuracy: 0.6294, prior_entropy: 0.9924, recall: 0.6294, relative_absolute_error: 0.9457, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.4768, root_relative_squared_error: 0.9587, scimark_benchmark: 1834.6996, usercpu_time_millis: 14.005, usercpu_time_millis_testing: 1.253, usercpu_time_millis_training: 12.752,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4998, f_measure: 0.3917, kb_relative_information_score: -0.1983, 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: 1805.5037, usercpu_time_millis: 10.753, usercpu_time_millis_testing: 1.855, usercpu_time_millis_training: 8.898,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.3917, kb_relative_information_score: -0.3543, 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: 1844.8764, usercpu_time_millis: 8.259, usercpu_time_millis_testing: 0.879, usercpu_time_millis_training: 7.38,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9815, f_measure: 0.9289, kappa: 0.8562, kb_relative_information_score: 9342.0574, mean_absolute_error: 0.2095, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.9294, predictive_accuracy: 0.9291, prior_entropy: 0.9924, recall: 0.9291, relative_absolute_error: 0.4234, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.2682, root_relative_squared_error: 0.5393, scimark_benchmark: 1849.8294, usercpu_time_millis: 7.781, usercpu_time_millis_testing: 0.568, usercpu_time_millis_training: 7.213,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7907, f_measure: 0.7192, kappa: 0.431, kb_relative_information_score: 2811.238, mean_absolute_error: 0.4173, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.7209, predictive_accuracy: 0.7215, prior_entropy: 0.9924, recall: 0.7215, relative_absolute_error: 0.8435, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.4406, root_relative_squared_error: 0.886, scimark_benchmark: 1854.4431, usercpu_time_millis: 3.529, usercpu_time_millis_testing: 0.284, usercpu_time_millis_training: 3.245,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7294, f_measure: 0.6288, kappa: 0.2662, kb_relative_information_score: 1061.8312, mean_absolute_error: 0.4678, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.6655, predictive_accuracy: 0.652, prior_entropy: 0.9924, recall: 0.652, relative_absolute_error: 0.9456, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.4746, root_relative_squared_error: 0.9542, scimark_benchmark: 1858.6076, usercpu_time_millis: 1.3, usercpu_time_millis_testing: 0.127, usercpu_time_millis_training: 1.173,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8846, f_measure: 0.8094, kappa: 0.6139, kb_relative_information_score: 6818.8606, mean_absolute_error: 0.2835, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.8102, predictive_accuracy: 0.8102, prior_entropy: 0.9924, recall: 0.8102, relative_absolute_error: 0.5731, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.3718, root_relative_squared_error: 0.7475,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9408, f_measure: 0.8693, kappa: 0.7354, kb_relative_information_score: 9383.6966, mean_absolute_error: 0.1962, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.8694, predictive_accuracy: 0.8695, prior_entropy: 0.9924, recall: 0.8695, relative_absolute_error: 0.3965, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.309, root_relative_squared_error: 0.6214,
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: 0.6426, f_measure: 0.6006, kappa: 0.2014, kb_relative_information_score: 1397.12, mean_absolute_error: 0.4549, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.6177, predictive_accuracy: 0.6181, prior_entropy: 0.9924, recall: 0.6181, relative_absolute_error: 0.9195, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.4805, root_relative_squared_error: 0.966,
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: 0.9396, f_measure: 0.8674, kappa: 0.7317, kb_relative_information_score: 9325.156, mean_absolute_error: 0.1982, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.8675, predictive_accuracy: 0.8676, prior_entropy: 0.9924, recall: 0.8676, relative_absolute_error: 0.4005, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.3107, root_relative_squared_error: 0.6247,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6763, f_measure: 0.6071, kappa: 0.2127, kb_relative_information_score: 1791.9503, mean_absolute_error: 0.4432, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.6223, predictive_accuracy: 0.6228, prior_entropy: 0.9924, recall: 0.6228, relative_absolute_error: 0.8958, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.4698, root_relative_squared_error: 0.9445,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9181, f_measure: 0.8607, kappa: 0.7182, kb_relative_information_score: 8410.9938, mean_absolute_error: 0.2323, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.8608, predictive_accuracy: 0.8609, prior_entropy: 0.9924, recall: 0.8609, relative_absolute_error: 0.4695, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.3332, root_relative_squared_error: 0.67,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6151, f_measure: 0.5712, kappa: 0.1436, kb_relative_information_score: 833.0119, mean_absolute_error: 0.4714, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.5861, predictive_accuracy: 0.5909, prior_entropy: 0.9924, recall: 0.5909, relative_absolute_error: 0.9529, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.4856, root_relative_squared_error: 0.9764,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9299, f_measure: 0.8522, kappa: 0.7008, kb_relative_information_score: 8819.3546, mean_absolute_error: 0.2151, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.8525, predictive_accuracy: 0.8525, prior_entropy: 0.9924, recall: 0.8525, relative_absolute_error: 0.4347, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.3244, root_relative_squared_error: 0.6523,
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: 0.6673, f_measure: 0.6211, kappa: 0.2385, kb_relative_information_score: 1745.5262, mean_absolute_error: 0.4443, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.6338, predictive_accuracy: 0.634, prior_entropy: 0.9924, recall: 0.634, relative_absolute_error: 0.8981, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.4731, root_relative_squared_error: 0.9512,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5159, f_measure: 0.4088, kappa: 0.0065, kb_relative_information_score: 14.1963, mean_absolute_error: 0.4943, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.5422, predictive_accuracy: 0.5523, prior_entropy: 0.9924, recall: 0.5523, relative_absolute_error: 0.9991, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.4974, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6475, f_measure: 0.6032, kappa: 0.2076, kb_relative_information_score: 1474.4473, mean_absolute_error: 0.4522, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.6222, predictive_accuracy: 0.6215, prior_entropy: 0.9924, recall: 0.6215, relative_absolute_error: 0.9139, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.4768, root_relative_squared_error: 0.9586,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6183, f_measure: 0.5736, kappa: 0.1508, kb_relative_information_score: 910.4682, mean_absolute_error: 0.4695, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.5917, predictive_accuracy: 0.5952, prior_entropy: 0.9924, recall: 0.5952, relative_absolute_error: 0.9489, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.4842, root_relative_squared_error: 0.9736,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6653, f_measure: 0.627, kappa: 0.2487, kb_relative_information_score: 1701.1353, mean_absolute_error: 0.4458, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.6372, predictive_accuracy: 0.6379, prior_entropy: 0.9924, recall: 0.6379, relative_absolute_error: 0.9011, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.4735, root_relative_squared_error: 0.952,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5994, f_measure: 0.5342, kappa: 0.131, kb_relative_information_score: 257.0777, mean_absolute_error: 0.4867, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.5872, predictive_accuracy: 0.5489, prior_entropy: 0.9924, recall: 0.5489, relative_absolute_error: 0.9838, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.4994, root_relative_squared_error: 1.004,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.655, f_measure: 0.6125, kappa: 0.2212, kb_relative_information_score: 1571.6929, mean_absolute_error: 0.4495, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.6247, predictive_accuracy: 0.6258, prior_entropy: 0.9924, recall: 0.6258, relative_absolute_error: 0.9084, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.4754, root_relative_squared_error: 0.9557,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6275, f_measure: 0.5892, kappa: 0.1766, kb_relative_information_score: 1248.7778, mean_absolute_error: 0.4588, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.6023, predictive_accuracy: 0.6054, prior_entropy: 0.9924, recall: 0.6054, relative_absolute_error: 0.9273, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.4807, root_relative_squared_error: 0.9664,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6198, f_measure: 0.5762, kappa: 0.1572, kb_relative_information_score: 920.7075, mean_absolute_error: 0.4693, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.5962, predictive_accuracy: 0.5987, prior_entropy: 0.9924, recall: 0.5987, relative_absolute_error: 0.9485, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.4835, root_relative_squared_error: 0.9722,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6516, f_measure: 0.6068, kappa: 0.2128, kb_relative_information_score: 1464.6201, mean_absolute_error: 0.4527, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.623, predictive_accuracy: 0.6231, prior_entropy: 0.9924, recall: 0.6231, relative_absolute_error: 0.915, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.4774, root_relative_squared_error: 0.9599,
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: 0.4997, kb_relative_information_score: -0.2102, 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: 0.5159, f_measure: 0.4294, kappa: 0.008, kb_relative_information_score: -14.5363, mean_absolute_error: 0.495, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.5227, predictive_accuracy: 0.5497, prior_entropy: 0.9924, recall: 0.5497, relative_absolute_error: 1.0005, 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: 0.9358, f_measure: 0.8624, kappa: 0.7215, kb_relative_information_score: 9077.5985, mean_absolute_error: 0.2067, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.8624, predictive_accuracy: 0.8626, prior_entropy: 0.9924, recall: 0.8626, relative_absolute_error: 0.4178, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.3164, root_relative_squared_error: 0.6361,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6568, f_measure: 0.5903, kappa: 0.1799, kb_relative_information_score: 1419.9981, mean_absolute_error: 0.4544, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.6049, predictive_accuracy: 0.6074, prior_entropy: 0.9924, recall: 0.6074, relative_absolute_error: 0.9184, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.4757, root_relative_squared_error: 0.9565,
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,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6188, f_measure: 0.5791, kappa: 0.1698, kb_relative_information_score: 905.7, mean_absolute_error: 0.47, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.609, predictive_accuracy: 0.6068, prior_entropy: 0.9924, recall: 0.6068, relative_absolute_error: 0.9499, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.4831, root_relative_squared_error: 0.9714,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9517, f_measure: 0.8875, kappa: 0.7725, kb_relative_information_score: 9967.5326, mean_absolute_error: 0.1766, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.8876, predictive_accuracy: 0.8877, prior_entropy: 0.9924, recall: 0.8877, relative_absolute_error: 0.357, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.2913, root_relative_squared_error: 0.5857,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9067, f_measure: 0.8221, kappa: 0.6396, kb_relative_information_score: 7863.3735, mean_absolute_error: 0.2473, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.8231, predictive_accuracy: 0.8229, prior_entropy: 0.9924, recall: 0.8229, relative_absolute_error: 0.4998, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.3502, root_relative_squared_error: 0.7042,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9629, f_measure: 0.9036, kappa: 0.805, kb_relative_information_score: 10619.79, mean_absolute_error: 0.1548, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.9037, predictive_accuracy: 0.9037, prior_entropy: 0.9924, recall: 0.9037, relative_absolute_error: 0.313, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.2693, root_relative_squared_error: 0.5415,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6373, f_measure: 0.5904, kappa: 0.1793, kb_relative_information_score: 1198.7881, mean_absolute_error: 0.4609, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.6039, predictive_accuracy: 0.6067, prior_entropy: 0.9924, recall: 0.6067, relative_absolute_error: 0.9316, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.4798, root_relative_squared_error: 0.9646,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.643, f_measure: 0.6036, kappa: 0.2045, kb_relative_information_score: 1414.735, mean_absolute_error: 0.4541, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.6168, predictive_accuracy: 0.6184, prior_entropy: 0.9924, recall: 0.6184, relative_absolute_error: 0.9179, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.4777, root_relative_squared_error: 0.9604,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6037, f_measure: 0.5577, kappa: 0.1372, kb_relative_information_score: 475.8404, mean_absolute_error: 0.4807, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.579, predictive_accuracy: 0.5603, prior_entropy: 0.9924, recall: 0.5603, relative_absolute_error: 0.9715, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.4955, root_relative_squared_error: 0.9962,
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: 0.6848, f_measure: 0.6116, kappa: 0.2215, kb_relative_information_score: 1929.7508, mean_absolute_error: 0.439, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.6268, predictive_accuracy: 0.6268, prior_entropy: 0.9924, recall: 0.6268, relative_absolute_error: 0.8872, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.4676, root_relative_squared_error: 0.9402,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6084, f_measure: 0.5591, kappa: 0.1139, kb_relative_information_score: 705.1366, mean_absolute_error: 0.4748, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.5666, predictive_accuracy: 0.5741, prior_entropy: 0.9924, recall: 0.5741, relative_absolute_error: 0.9597, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.4872, root_relative_squared_error: 0.9795,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6473, f_measure: 0.6036, kappa: 0.2064, kb_relative_information_score: 1489.5951, mean_absolute_error: 0.4518, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.6195, predictive_accuracy: 0.62, prior_entropy: 0.9924, recall: 0.62, relative_absolute_error: 0.9132, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.4769, root_relative_squared_error: 0.9588,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.628, f_measure: 0.5876, kappa: 0.1747, kb_relative_information_score: 1207.0444, mean_absolute_error: 0.4602, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.6023, predictive_accuracy: 0.6051, prior_entropy: 0.9924, recall: 0.6051, relative_absolute_error: 0.9302, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.4805, root_relative_squared_error: 0.9661,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6136, f_measure: 0.5737, kappa: 0.139, kb_relative_information_score: 782.781, mean_absolute_error: 0.4727, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.5775, predictive_accuracy: 0.5834, prior_entropy: 0.9924, recall: 0.5834, relative_absolute_error: 0.9554, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.4864, root_relative_squared_error: 0.9779,
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 - No evaluations yet (or not applicable). Evaluation Engine Exception: Run description file not present.

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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