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: 0.8157, f_measure: 0.7359, kappa: 0.4648, kb_relative_information_score: 3413.4479, mean_absolute_error: 0.399, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.7378, predictive_accuracy: 0.7381, prior_entropy: 0.9924, recall: 0.7381, relative_absolute_error: 0.8065, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.4275, root_relative_squared_error: 0.8595, scimark_benchmark: 1952.2696, usercpu_time_millis: 13.247, usercpu_time_millis_testing: 1.284, usercpu_time_millis_training: 11.963,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6421, f_measure: 0.5175, kappa: 0.1178, kb_relative_information_score: 571.6707, mean_absolute_error: 0.4804, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.6361, predictive_accuracy: 0.5945, prior_entropy: 0.9924, recall: 0.5945, relative_absolute_error: 0.9709, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.4871, root_relative_squared_error: 0.9793, scimark_benchmark: 783.2674, usercpu_time_millis: 16.319, usercpu_time_millis_testing: 1.704, usercpu_time_millis_training: 14.615,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.3917, kb_relative_information_score: -0.0112, 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: 1846.6923, usercpu_time_millis: 17.494, usercpu_time_millis_testing: 2.98, usercpu_time_millis_training: 14.514,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7434, f_measure: 0.6789, kappa: 0.3495, kb_relative_information_score: 1638.4459, mean_absolute_error: 0.4515, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.6814, predictive_accuracy: 0.6826, prior_entropy: 0.9924, recall: 0.6826, relative_absolute_error: 0.9125, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.4641, root_relative_squared_error: 0.9331, scimark_benchmark: 1854.0399, usercpu_time_millis: 27.203, usercpu_time_millis_testing: 3.591, usercpu_time_millis_training: 23.612,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7826, f_measure: 0.7218, kappa: 0.4361, kb_relative_information_score: 2331.3134, mean_absolute_error: 0.4321, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.7237, predictive_accuracy: 0.7242, prior_entropy: 0.9924, recall: 0.7242, relative_absolute_error: 0.8733, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.4493, root_relative_squared_error: 0.9033, scimark_benchmark: 1837.7149, usercpu_time_millis: 27.568, usercpu_time_millis_testing: 2.593, usercpu_time_millis_training: 24.975,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9648, f_measure: 0.8993, kappa: 0.7961, kb_relative_information_score: 8420.1197, mean_absolute_error: 0.2392, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.8999, predictive_accuracy: 0.8996, prior_entropy: 0.9924, recall: 0.8996, relative_absolute_error: 0.4835, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.2991, root_relative_squared_error: 0.6014, scimark_benchmark: 1955.117, usercpu_time_millis: 30.076, usercpu_time_millis_testing: 1.607, usercpu_time_millis_training: 28.469,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7688, f_measure: 0.7086, kappa: 0.4098, kb_relative_information_score: 1870.6057, mean_absolute_error: 0.4455, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.7127, predictive_accuracy: 0.7124, prior_entropy: 0.9924, recall: 0.7124, relative_absolute_error: 0.9004, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.4582, root_relative_squared_error: 0.9212, scimark_benchmark: 1828.686, usercpu_time_millis: 42.639, usercpu_time_millis_testing: 4.444, usercpu_time_millis_training: 38.195,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9652, f_measure: 0.9006, kappa: 0.7987, kb_relative_information_score: 8615.3273, mean_absolute_error: 0.2321, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.9012, predictive_accuracy: 0.9009, prior_entropy: 0.9924, recall: 0.9009, relative_absolute_error: 0.4691, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.2953, root_relative_squared_error: 0.5937, scimark_benchmark: 1849.3014, usercpu_time_millis: 77.737, usercpu_time_millis_testing: 3.244, usercpu_time_millis_training: 74.493,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.931, f_measure: 0.8512, kappa: 0.6984, kb_relative_information_score: 6503.1258, mean_absolute_error: 0.3031, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.8533, predictive_accuracy: 0.8521, prior_entropy: 0.9924, recall: 0.8521, relative_absolute_error: 0.6126, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.3499, root_relative_squared_error: 0.7034, scimark_benchmark: 1844.2676, usercpu_time_millis: 72.805, usercpu_time_millis_testing: 6.857, usercpu_time_millis_training: 65.948,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9568, f_measure: 0.8842, kappa: 0.7655, kb_relative_information_score: 7868.3166, mean_absolute_error: 0.258, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.8852, predictive_accuracy: 0.8846, prior_entropy: 0.9924, recall: 0.8846, relative_absolute_error: 0.5214, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.3139, root_relative_squared_error: 0.6312, scimark_benchmark: 1839.6024, usercpu_time_millis: 72.755, usercpu_time_millis_testing: 5.179, usercpu_time_millis_training: 67.576,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9566, f_measure: 0.8855, kappa: 0.7682, kb_relative_information_score: 8132.1787, mean_absolute_error: 0.2478, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.8864, predictive_accuracy: 0.8859, prior_entropy: 0.9924, recall: 0.8859, relative_absolute_error: 0.5009, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.3099, root_relative_squared_error: 0.623, scimark_benchmark: 1845.8517, usercpu_time_millis: 80.277, usercpu_time_millis_testing: 3.958, usercpu_time_millis_training: 76.319,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8664, f_measure: 0.7801, kappa: 0.5548, kb_relative_information_score: 4716.2339, mean_absolute_error: 0.3583, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.7868, predictive_accuracy: 0.7832, prior_entropy: 0.9924, recall: 0.7832, relative_absolute_error: 0.7243, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.3982, root_relative_squared_error: 0.8006, scimark_benchmark: 1860.717, usercpu_time_millis: 111.181, usercpu_time_millis_testing: 6.567, usercpu_time_millis_training: 104.614,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9221, f_measure: 0.8392, kappa: 0.6742, kb_relative_information_score: 6127.0842, mean_absolute_error: 0.3151, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.8419, predictive_accuracy: 0.8404, prior_entropy: 0.9924, recall: 0.8404, relative_absolute_error: 0.6368, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.3598, root_relative_squared_error: 0.7233, scimark_benchmark: 1738.7921, usercpu_time_millis: 114.271, usercpu_time_millis_testing: 8.731, usercpu_time_millis_training: 105.54,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8004, f_measure: 0.7227, kappa: 0.4386, kb_relative_information_score: 3443.1675, mean_absolute_error: 0.3968, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.7288, predictive_accuracy: 0.727, prior_entropy: 0.9924, recall: 0.727, relative_absolute_error: 0.802, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.4308, root_relative_squared_error: 0.8661, scimark_benchmark: 783.1841, usercpu_time_millis: 145.085, usercpu_time_millis_testing: 7.974, usercpu_time_millis_training: 137.111,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7946, f_measure: 0.7225, kappa: 0.4377, kb_relative_information_score: 2700.458, mean_absolute_error: 0.4211, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.7256, predictive_accuracy: 0.7255, prior_entropy: 0.9924, recall: 0.7255, relative_absolute_error: 0.8512, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.4416, root_relative_squared_error: 0.8878, scimark_benchmark: 1857.1082, usercpu_time_millis: 0.679, usercpu_time_millis_testing: 0.061, usercpu_time_millis_training: 0.618,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7791, f_measure: 0.7041, kappa: 0.4048, kb_relative_information_score: 1717.6325, mean_absolute_error: 0.4504, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.7221, predictive_accuracy: 0.7136, prior_entropy: 0.9924, recall: 0.7136, relative_absolute_error: 0.9104, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.4601, root_relative_squared_error: 0.9251, scimark_benchmark: 1798.8406, usercpu_time_millis: 11.29, usercpu_time_millis_testing: 1.11, usercpu_time_millis_training: 10.18,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7332, f_measure: 0.6579, kappa: 0.3124, kb_relative_information_score: 1304.0386, mean_absolute_error: 0.4612, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.6736, predictive_accuracy: 0.6695, prior_entropy: 0.9924, recall: 0.6695, relative_absolute_error: 0.9323, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.4701, root_relative_squared_error: 0.9452, scimark_benchmark: 1800.2211, usercpu_time_millis: 14.981, usercpu_time_millis_testing: 2.177, usercpu_time_millis_training: 12.804,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.931, f_measure: 0.849, kappa: 0.694, kb_relative_information_score: 6216.3103, mean_absolute_error: 0.3133, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.8517, predictive_accuracy: 0.8501, prior_entropy: 0.9924, recall: 0.8501, relative_absolute_error: 0.6333, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.3549, root_relative_squared_error: 0.7136, scimark_benchmark: 1843.0708, usercpu_time_millis: 2.74, usercpu_time_millis_testing: 0.193, usercpu_time_millis_training: 2.547,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8561, f_measure: 0.7732, kappa: 0.5407, kb_relative_information_score: 4260.2363, mean_absolute_error: 0.3735, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.7791, predictive_accuracy: 0.7762, prior_entropy: 0.9924, recall: 0.7762, relative_absolute_error: 0.755, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.4068, root_relative_squared_error: 0.8179, scimark_benchmark: 1800.8583, usercpu_time_millis: 22.227, usercpu_time_millis_testing: 1.904, usercpu_time_millis_training: 20.323,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7479, f_measure: 0.6752, kappa: 0.3445, kb_relative_information_score: 1471.4063, mean_absolute_error: 0.4566, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.6853, predictive_accuracy: 0.6832, prior_entropy: 0.9924, recall: 0.6832, relative_absolute_error: 0.9229, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.4663, root_relative_squared_error: 0.9375, scimark_benchmark: 1851.4874, usercpu_time_millis: 1.513, usercpu_time_millis_testing: 0.134, usercpu_time_millis_training: 1.379,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.895, f_measure: 0.8089, kappa: 0.6128, kb_relative_information_score: 5595.4108, mean_absolute_error: 0.3302, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.8131, predictive_accuracy: 0.8108, prior_entropy: 0.9924, recall: 0.8108, relative_absolute_error: 0.6675, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.3775, root_relative_squared_error: 0.7591, scimark_benchmark: 1853.9849, usercpu_time_millis: 7.964, usercpu_time_millis_testing: 0.343, usercpu_time_millis_training: 7.621,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8152, f_measure: 0.743, kappa: 0.4795, kb_relative_information_score: 2673.6258, mean_absolute_error: 0.4231, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.7484, predictive_accuracy: 0.7465, prior_entropy: 0.9924, recall: 0.7465, relative_absolute_error: 0.8552, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.4396, root_relative_squared_error: 0.8838, scimark_benchmark: 1800.8583, usercpu_time_millis: 32.529, usercpu_time_millis_testing: 3.54, usercpu_time_millis_training: 28.989,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9568, f_measure: 0.885, kappa: 0.7671, kb_relative_information_score: 7777.779, mean_absolute_error: 0.2613, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.8861, predictive_accuracy: 0.8854, prior_entropy: 0.9924, recall: 0.8854, relative_absolute_error: 0.528, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.3157, root_relative_squared_error: 0.6348, scimark_benchmark: 1805.715, usercpu_time_millis: 70.667, usercpu_time_millis_testing: 5.183, usercpu_time_millis_training: 65.484,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9377, f_measure: 0.8612, kappa: 0.7187, kb_relative_information_score: 7256.6562, mean_absolute_error: 0.2763, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.8625, predictive_accuracy: 0.8618, prior_entropy: 0.9924, recall: 0.8618, relative_absolute_error: 0.5585, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.335, root_relative_squared_error: 0.6735, scimark_benchmark: 1797.872, usercpu_time_millis: 99.051, usercpu_time_millis_testing: 4.638, usercpu_time_millis_training: 94.413,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.3917, kb_relative_information_score: -0.6165, 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: 1848.2682, usercpu_time_millis: 5.032, usercpu_time_millis_testing: 0.639, usercpu_time_millis_training: 4.393,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3917, kb_relative_information_score: 0.2279, 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: 1852.5406, usercpu_time_millis: 8.572, usercpu_time_millis_testing: 1.106, usercpu_time_millis_training: 7.466,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7806, f_measure: 0.7136, kappa: 0.4197, kb_relative_information_score: 2618.2621, mean_absolute_error: 0.423, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.7148, predictive_accuracy: 0.7157, prior_entropy: 0.9924, recall: 0.7157, relative_absolute_error: 0.8549, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.4451, root_relative_squared_error: 0.8948, scimark_benchmark: 1852.4278, usercpu_time_millis: 0.917, usercpu_time_millis_testing: 0.076, usercpu_time_millis_training: 0.841,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5001, f_measure: 0.3917, kb_relative_information_score: 0.501, 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: 1858.6775, usercpu_time_millis: 8.569, usercpu_time_millis_testing: 1.203, usercpu_time_millis_training: 7.366,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8913, f_measure: 0.8056, kappa: 0.6061, kb_relative_information_score: 4933.7273, mean_absolute_error: 0.3536, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.8103, predictive_accuracy: 0.8077, prior_entropy: 0.9924, recall: 0.8077, relative_absolute_error: 0.7146, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.3881, root_relative_squared_error: 0.7803, scimark_benchmark: 786.7436, usercpu_time_millis: 25.934, usercpu_time_millis_testing: 2.001, usercpu_time_millis_training: 23.933,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9276, f_measure: 0.8478, kappa: 0.6917, kb_relative_information_score: 7412.8274, mean_absolute_error: 0.2685, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.8485, predictive_accuracy: 0.8483, prior_entropy: 0.9924, recall: 0.8483, relative_absolute_error: 0.5427, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.3381, root_relative_squared_error: 0.6798, scimark_benchmark: 1808.9842, usercpu_time_millis: 37.565, usercpu_time_millis_testing: 1.217, usercpu_time_millis_training: 36.348,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8036, f_measure: 0.7255, kappa: 0.4437, kb_relative_information_score: 3062.9991, mean_absolute_error: 0.4098, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.7274, predictive_accuracy: 0.7278, prior_entropy: 0.9924, recall: 0.7278, relative_absolute_error: 0.8283, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.4348, root_relative_squared_error: 0.8741, scimark_benchmark: 790.158, usercpu_time_millis: 78.5, usercpu_time_millis_testing: 5.622, usercpu_time_millis_training: 72.878,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8653, f_measure: 0.7835, kappa: 0.5613, kb_relative_information_score: 5663.8844, mean_absolute_error: 0.3235, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.7854, predictive_accuracy: 0.785, prior_entropy: 0.9924, recall: 0.785, relative_absolute_error: 0.6538, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.3883, root_relative_squared_error: 0.7807, scimark_benchmark: 1856.5802, usercpu_time_millis: 0.616, usercpu_time_millis_testing: 0.05, usercpu_time_millis_training: 0.566,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9366, f_measure: 0.8587, kappa: 0.7137, kb_relative_information_score: 6909.605, mean_absolute_error: 0.289, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.8605, predictive_accuracy: 0.8595, prior_entropy: 0.9924, recall: 0.8595, relative_absolute_error: 0.5841, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.3411, root_relative_squared_error: 0.6858, scimark_benchmark: 1804.3485, usercpu_time_millis: 113.675, usercpu_time_millis_testing: 6.113, usercpu_time_millis_training: 107.562,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6251, f_measure: 0.5146, kappa: 0.1138, kb_relative_information_score: 573.1175, mean_absolute_error: 0.4801, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.6335, predictive_accuracy: 0.5928, prior_entropy: 0.9924, recall: 0.5928, relative_absolute_error: 0.9704, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.4878, root_relative_squared_error: 0.9808, scimark_benchmark: 788.9778, usercpu_time_millis: 35.516, usercpu_time_millis_testing: 3.807, usercpu_time_millis_training: 31.709,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7856, f_measure: 0.7192, kappa: 0.431, kb_relative_information_score: 2228.6616, mean_absolute_error: 0.4354, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.7224, predictive_accuracy: 0.7223, prior_entropy: 0.9924, recall: 0.7223, relative_absolute_error: 0.8801, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.4504, root_relative_squared_error: 0.9057, scimark_benchmark: 1857.5664, usercpu_time_millis: 37.247, usercpu_time_millis_testing: 4.572, usercpu_time_millis_training: 32.675,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9264, f_measure: 0.8396, kappa: 0.675, kb_relative_information_score: 5559.5548, mean_absolute_error: 0.3357, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.8436, predictive_accuracy: 0.8411, prior_entropy: 0.9924, recall: 0.8411, relative_absolute_error: 0.6785, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.3686, root_relative_squared_error: 0.7411, scimark_benchmark: 1852.0126, usercpu_time_millis: 85.268, usercpu_time_millis_testing: 8.781, usercpu_time_millis_training: 76.487,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8777, f_measure: 0.7882, kappa: 0.571, kb_relative_information_score: 5086.2087, mean_absolute_error: 0.3462, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.7938, predictive_accuracy: 0.7909, prior_entropy: 0.9924, recall: 0.7909, relative_absolute_error: 0.6997, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.3901, root_relative_squared_error: 0.7842, scimark_benchmark: 788.7237, usercpu_time_millis: 93.91, usercpu_time_millis_testing: 4.899, usercpu_time_millis_training: 89.011,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9106, f_measure: 0.8257, kappa: 0.6468, kb_relative_information_score: 5783.7584, mean_absolute_error: 0.3257, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.8293, predictive_accuracy: 0.8272, prior_entropy: 0.9924, recall: 0.8272, relative_absolute_error: 0.6583, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.3693, root_relative_squared_error: 0.7425, scimark_benchmark: 1846.6923, usercpu_time_millis: 97.569, usercpu_time_millis_testing: 7.522, usercpu_time_millis_training: 90.047,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8858, f_measure: 0.7986, kappa: 0.592, kb_relative_information_score: 5326.9106, mean_absolute_error: 0.3386, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.8034, predictive_accuracy: 0.8009, prior_entropy: 0.9924, recall: 0.8009, relative_absolute_error: 0.6844, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.3844, root_relative_squared_error: 0.7729, scimark_benchmark: 1850.2875, usercpu_time_millis: 132.086, usercpu_time_millis_testing: 6.26, usercpu_time_millis_training: 125.826,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8195, f_measure: 0.7372, kappa: 0.4679, kb_relative_information_score: 3793.1887, mean_absolute_error: 0.3864, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.7435, predictive_accuracy: 0.7412, prior_entropy: 0.9924, recall: 0.7412, relative_absolute_error: 0.781, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.4218, root_relative_squared_error: 0.848, scimark_benchmark: 1799.3078, usercpu_time_millis: 75.306, usercpu_time_millis_testing: 5.2, usercpu_time_millis_training: 70.106,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8672, f_measure: 0.7809, kappa: 0.5562, kb_relative_information_score: 5011.2691, mean_absolute_error: 0.3477, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.7869, predictive_accuracy: 0.7838, prior_entropy: 0.9924, recall: 0.7838, relative_absolute_error: 0.7028, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.3945, root_relative_squared_error: 0.7931, scimark_benchmark: 1856.5802, usercpu_time_millis: 86.187, usercpu_time_millis_testing: 4.995, usercpu_time_millis_training: 81.192,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7295, f_measure: 0.6612, kappa: 0.3168, kb_relative_information_score: 1397.4927, mean_absolute_error: 0.4584, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.6721, predictive_accuracy: 0.6703, prior_entropy: 0.9924, recall: 0.6703, relative_absolute_error: 0.9264, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.4689, root_relative_squared_error: 0.9428, scimark_benchmark: 787.9046, usercpu_time_millis: 52.949, usercpu_time_millis_testing: 5.739, usercpu_time_millis_training: 47.21,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9224, f_measure: 0.8348, kappa: 0.6652, kb_relative_information_score: 5416.1764, mean_absolute_error: 0.3402, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.839, predictive_accuracy: 0.8363, prior_entropy: 0.9924, recall: 0.8363, relative_absolute_error: 0.6876, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.3723, root_relative_squared_error: 0.7486, scimark_benchmark: 1802.1545, usercpu_time_millis: 85.644, usercpu_time_millis_testing: 8.936, usercpu_time_millis_training: 76.708,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.973, f_measure: 0.9153, kappa: 0.8285, kb_relative_information_score: 9280.1326, mean_absolute_error: 0.2093, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.9157, predictive_accuracy: 0.9155, prior_entropy: 0.9924, recall: 0.9155, relative_absolute_error: 0.423, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.2767, root_relative_squared_error: 0.5564, scimark_benchmark: 1854.4951, usercpu_time_millis: 52.939, usercpu_time_millis_testing: 1.737, usercpu_time_millis_training: 51.202,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7123, f_measure: 0.6589, kappa: 0.3094, kb_relative_information_score: 1469.1515, mean_absolute_error: 0.4555, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.6586, predictive_accuracy: 0.6597, prior_entropy: 0.9924, recall: 0.6597, relative_absolute_error: 0.9207, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.4698, root_relative_squared_error: 0.9445, scimark_benchmark: 1788.3519, usercpu_time_millis: 40.444, usercpu_time_millis_testing: 3.941, usercpu_time_millis_training: 36.503,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7004, f_measure: 0.5847, kappa: 0.1916, kb_relative_information_score: 900.8953, mean_absolute_error: 0.472, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.633, predictive_accuracy: 0.6198, prior_entropy: 0.9924, recall: 0.6198, relative_absolute_error: 0.9539, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.4788, root_relative_squared_error: 0.9627, scimark_benchmark: 1856.0551, usercpu_time_millis: 1.081, usercpu_time_millis_testing: 0.097, usercpu_time_millis_training: 0.984,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4998, f_measure: 0.3917, kb_relative_information_score: 0.1945, 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: 1852.9259, usercpu_time_millis: 12.91, usercpu_time_millis_testing: 2.24, usercpu_time_millis_training: 10.67,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.709, f_measure: 0.6553, kappa: 0.3021, kb_relative_information_score: 1449.6682, mean_absolute_error: 0.4561, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.655, predictive_accuracy: 0.6561, prior_entropy: 0.9924, recall: 0.6561, relative_absolute_error: 0.9218, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.4703, root_relative_squared_error: 0.9457, scimark_benchmark: 789.7969, usercpu_time_millis: 21.12, usercpu_time_millis_testing: 1.453, usercpu_time_millis_training: 19.667,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9702, f_measure: 0.9078, kappa: 0.8134, kb_relative_information_score: 8912.2543, mean_absolute_error: 0.2221, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.9084, predictive_accuracy: 0.9081, prior_entropy: 0.9924, recall: 0.9081, relative_absolute_error: 0.449, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.2862, root_relative_squared_error: 0.5755, scimark_benchmark: 1832.2251, usercpu_time_millis: 43.106, usercpu_time_millis_testing: 1.788, usercpu_time_millis_training: 41.318,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8084, f_measure: 0.7297, kappa: 0.4524, kb_relative_information_score: 3319.8066, mean_absolute_error: 0.4016, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.7337, predictive_accuracy: 0.733, prior_entropy: 0.9924, recall: 0.733, relative_absolute_error: 0.8117, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.4303, root_relative_squared_error: 0.8652, scimark_benchmark: 1855.6669, usercpu_time_millis: 49.822, usercpu_time_millis_testing: 3.052, usercpu_time_millis_training: 46.77,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8264, f_measure: 0.7443, kappa: 0.4826, kb_relative_information_score: 3933.5371, mean_absolute_error: 0.3823, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.7521, predictive_accuracy: 0.7487, prior_entropy: 0.9924, recall: 0.7487, relative_absolute_error: 0.7726, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.4187, root_relative_squared_error: 0.8418, scimark_benchmark: 1723.6585, usercpu_time_millis: 84.445, usercpu_time_millis_testing: 5.466, usercpu_time_millis_training: 78.979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.931, f_measure: 0.8493, kappa: 0.6946, kb_relative_information_score: 6029.7462, mean_absolute_error: 0.3201, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.8522, predictive_accuracy: 0.8504, prior_entropy: 0.9924, recall: 0.8504, relative_absolute_error: 0.647, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.3581, root_relative_squared_error: 0.7201, scimark_benchmark: 787.078, usercpu_time_millis: 90.751, usercpu_time_millis_testing: 8.265, usercpu_time_millis_training: 82.486,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4998, f_measure: 0.3917, kb_relative_information_score: 0.254, 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: 1850.8924, usercpu_time_millis: 8.799, usercpu_time_millis_testing: 1.468, usercpu_time_millis_training: 7.331,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9667, f_measure: 0.8943, kappa: 0.7858, kb_relative_information_score: 6914.5585, mean_absolute_error: 0.2941, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.8969, predictive_accuracy: 0.8949, prior_entropy: 0.9924, recall: 0.8949, relative_absolute_error: 0.5945, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.3295, root_relative_squared_error: 0.6625, scimark_benchmark: 1835.621, usercpu_time_millis: 37.072, usercpu_time_millis_testing: 3.942, usercpu_time_millis_training: 33.13,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9412, f_measure: 0.8651, kappa: 0.7266, kb_relative_information_score: 7146.2413, mean_absolute_error: 0.2813, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.8667, predictive_accuracy: 0.8658, prior_entropy: 0.9924, recall: 0.8658, relative_absolute_error: 0.5685, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.3349, root_relative_squared_error: 0.6733, scimark_benchmark: 1855.0232, usercpu_time_millis: 70.517, usercpu_time_millis_testing: 4.593, usercpu_time_millis_training: 65.924,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9117, f_measure: 0.825, kappa: 0.6455, kb_relative_information_score: 5607.4388, mean_absolute_error: 0.3322, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.8292, predictive_accuracy: 0.8267, prior_entropy: 0.9924, recall: 0.8267, relative_absolute_error: 0.6714, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.3717, root_relative_squared_error: 0.7474, scimark_benchmark: 1856.7109, usercpu_time_millis: 98.371, usercpu_time_millis_testing: 7.921, usercpu_time_millis_training: 90.45,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.3917, kb_relative_information_score: -0.1328, 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: 1852.9259, usercpu_time_millis: 9.857, usercpu_time_millis_testing: 1.085, usercpu_time_millis_training: 8.772,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.3917, kb_relative_information_score: 0.0239, 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: 789.5549, usercpu_time_millis: 31.58, usercpu_time_millis_testing: 4.155, usercpu_time_millis_training: 27.425,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8188, f_measure: 0.7446, kappa: 0.4827, kb_relative_information_score: 2950.9815, mean_absolute_error: 0.4145, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.7488, predictive_accuracy: 0.7477, prior_entropy: 0.9924, recall: 0.7477, relative_absolute_error: 0.8379, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.4343, root_relative_squared_error: 0.8732, scimark_benchmark: 1853.9121, usercpu_time_millis: 41.038, usercpu_time_millis_testing: 4.002, usercpu_time_millis_training: 37.036,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8301, f_measure: 0.7498, kappa: 0.4936, kb_relative_information_score: 3861.3296, mean_absolute_error: 0.3852, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.7568, predictive_accuracy: 0.7537, prior_entropy: 0.9924, recall: 0.7537, relative_absolute_error: 0.7785, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.4185, root_relative_squared_error: 0.8413, scimark_benchmark: 786.9837, usercpu_time_millis: 42.451, usercpu_time_millis_testing: 2.375, usercpu_time_millis_training: 40.076,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9756, f_measure: 0.9197, kappa: 0.8375, kb_relative_information_score: 9588.2098, mean_absolute_error: 0.1983, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.9201, predictive_accuracy: 0.9199, prior_entropy: 0.9924, recall: 0.9199, relative_absolute_error: 0.4008, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.2686, root_relative_squared_error: 0.54, scimark_benchmark: 1833.2537, usercpu_time_millis: 51.213, usercpu_time_millis_testing: 1.978, usercpu_time_millis_training: 49.235,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.868, f_measure: 0.7849, kappa: 0.5645, kb_relative_information_score: 3454.1061, mean_absolute_error: 0.4009, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.7924, predictive_accuracy: 0.7881, prior_entropy: 0.9924, recall: 0.7881, relative_absolute_error: 0.8104, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.4193, root_relative_squared_error: 0.8431, scimark_benchmark: 1853.5818, usercpu_time_millis: 63.147, usercpu_time_millis_testing: 7.336, usercpu_time_millis_training: 55.811,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7192, f_measure: 0.6471, kappa: 0.2929, kb_relative_information_score: 1185.4021, mean_absolute_error: 0.4643, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.6667, predictive_accuracy: 0.6613, prior_entropy: 0.9924, recall: 0.6613, relative_absolute_error: 0.9385, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.4729, root_relative_squared_error: 0.9508, scimark_benchmark: 1849.8294, usercpu_time_millis: 25.056, usercpu_time_millis_testing: 3.557, usercpu_time_millis_training: 21.499,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9394, f_measure: 0.8606, kappa: 0.7176, kb_relative_information_score: 6959.2705, mean_absolute_error: 0.2879, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.8623, predictive_accuracy: 0.8613, prior_entropy: 0.9924, recall: 0.8613, relative_absolute_error: 0.5819, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.3387, root_relative_squared_error: 0.681, scimark_benchmark: 1829.217, usercpu_time_millis: 33.745, usercpu_time_millis_testing: 2.159, usercpu_time_millis_training: 31.586,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9211, f_measure: 0.8377, kappa: 0.6711, kb_relative_information_score: 6134.565, mean_absolute_error: 0.3146, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.8406, predictive_accuracy: 0.8389, prior_entropy: 0.9924, recall: 0.8389, relative_absolute_error: 0.6359, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.3601, root_relative_squared_error: 0.7239, scimark_benchmark: 1858.0974, usercpu_time_millis: 40.214, usercpu_time_millis_testing: 2.216, usercpu_time_millis_training: 37.998,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9911, f_measure: 0.9599, kappa: 0.9189, kb_relative_information_score: 13231.8261, mean_absolute_error: 0.0625, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.9599, predictive_accuracy: 0.9599, prior_entropy: 0.9924, recall: 0.9599, relative_absolute_error: 0.1262, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.1752, root_relative_squared_error: 0.3523,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9726, f_measure: 0.9129, kappa: 0.8237, kb_relative_information_score: 8971.2426, mean_absolute_error: 0.2207, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.9135, predictive_accuracy: 0.9132, prior_entropy: 0.9924, recall: 0.9132, relative_absolute_error: 0.4462, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.283, root_relative_squared_error: 0.569, scimark_benchmark: 787.5702, usercpu_time_millis: 91.228, usercpu_time_millis_testing: 3.385, usercpu_time_millis_training: 87.843,

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