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: 0.9487, f_measure: 0.8748, kappa: 0.7464, kb_relative_information_score: 7474.7624, mean_absolute_error: 0.2706, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.8761, predictive_accuracy: 0.8754, prior_entropy: 0.9924, recall: 0.8754, relative_absolute_error: 0.5469, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.3257, root_relative_squared_error: 0.6548, scimark_benchmark: 1368.3897, usercpu_time_millis: 147.881, usercpu_time_millis_testing: 7.106, usercpu_time_millis_training: 140.775,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9338, f_measure: 0.8535, kappa: 0.7031, kb_relative_information_score: 6623.2085, mean_absolute_error: 0.2992, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.8555, predictive_accuracy: 0.8543, prior_entropy: 0.9924, recall: 0.8543, relative_absolute_error: 0.6047, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.3468, root_relative_squared_error: 0.6972, scimark_benchmark: 1364.7727, usercpu_time_millis: 78.498, usercpu_time_millis_testing: 5.258, usercpu_time_millis_training: 73.24,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4998, f_measure: 0.3917, kb_relative_information_score: 0.1725, 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: 1372.0342, usercpu_time_millis: 18.589, usercpu_time_millis_testing: 3.299, usercpu_time_millis_training: 15.29,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7363, f_measure: 0.6702, kappa: 0.3334, kb_relative_information_score: 1468.295, mean_absolute_error: 0.4564, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.6777, predictive_accuracy: 0.6771, prior_entropy: 0.9924, recall: 0.6771, relative_absolute_error: 0.9226, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.4672, root_relative_squared_error: 0.9394, scimark_benchmark: 1375.1975, usercpu_time_millis: 8.406, usercpu_time_millis_testing: 0.843, usercpu_time_millis_training: 7.563,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.705, f_measure: 0.6507, kappa: 0.296, kb_relative_information_score: 1176.7519, mean_absolute_error: 0.4642, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.6615, predictive_accuracy: 0.6604, prior_entropy: 0.9924, recall: 0.6604, relative_absolute_error: 0.9382, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.4739, root_relative_squared_error: 0.9528, scimark_benchmark: 1368.5682, usercpu_time_millis: 25.366, usercpu_time_millis_testing: 2.543, usercpu_time_millis_training: 22.823,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7398, f_measure: 0.6854, kappa: 0.3626, kb_relative_information_score: 1799.2677, mean_absolute_error: 0.4465, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.6855, predictive_accuracy: 0.6869, prior_entropy: 0.9924, recall: 0.6869, relative_absolute_error: 0.9024, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.4623, root_relative_squared_error: 0.9295, scimark_benchmark: 1367.0124, usercpu_time_millis: 37.458, usercpu_time_millis_testing: 3.218, usercpu_time_millis_training: 34.24,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8411, f_measure: 0.7546, kappa: 0.5036, kb_relative_information_score: 4301.1024, mean_absolute_error: 0.3706, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.7636, predictive_accuracy: 0.7591, prior_entropy: 0.9924, recall: 0.7591, relative_absolute_error: 0.749, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.4104, root_relative_squared_error: 0.8252, scimark_benchmark: 1374.6487, usercpu_time_millis: 83.107, usercpu_time_millis_testing: 3.32, usercpu_time_millis_training: 79.787,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7942, f_measure: 0.7179, kappa: 0.4285, kb_relative_information_score: 3109.0083, mean_absolute_error: 0.4077, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.7219, predictive_accuracy: 0.7214, prior_entropy: 0.9924, recall: 0.7214, relative_absolute_error: 0.824, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.4359, root_relative_squared_error: 0.8764, scimark_benchmark: 1372.5447, usercpu_time_millis: 78.066, usercpu_time_millis_testing: 4.327, usercpu_time_millis_training: 73.739,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.3917, kb_relative_information_score: -0.1847, 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: 1369.5468, usercpu_time_millis: 15.134, usercpu_time_millis_testing: 2.428, usercpu_time_millis_training: 12.706,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8189, f_measure: 0.7382, kappa: 0.4699, kb_relative_information_score: 3653.3161, mean_absolute_error: 0.3912, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.7436, predictive_accuracy: 0.7419, prior_entropy: 0.9924, recall: 0.7419, relative_absolute_error: 0.7907, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.4237, root_relative_squared_error: 0.8519, scimark_benchmark: 1374.2697, usercpu_time_millis: 46.98, usercpu_time_millis_testing: 2.465, usercpu_time_millis_training: 44.515,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9752, f_measure: 0.9177, kappa: 0.8334, kb_relative_information_score: 9769.4763, mean_absolute_error: 0.1911, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.9181, predictive_accuracy: 0.9179, prior_entropy: 0.9924, recall: 0.9179, relative_absolute_error: 0.3863, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.2658, root_relative_squared_error: 0.5344, scimark_benchmark: 1373.9056, usercpu_time_millis: 41.836, usercpu_time_millis_testing: 0.946, usercpu_time_millis_training: 40.89,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8275, f_measure: 0.7564, kappa: 0.5069, kb_relative_information_score: 3406.6672, mean_absolute_error: 0.4003, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.7632, predictive_accuracy: 0.7601, prior_entropy: 0.9924, recall: 0.7601, relative_absolute_error: 0.8092, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.4255, root_relative_squared_error: 0.8555, scimark_benchmark: 1372.1532, usercpu_time_millis: 34.369, usercpu_time_millis_testing: 2.416, usercpu_time_millis_training: 31.953,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.941, f_measure: 0.8571, kappa: 0.7104, kb_relative_information_score: 6124.1872, mean_absolute_error: 0.318, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.8604, predictive_accuracy: 0.8582, prior_entropy: 0.9924, recall: 0.8582, relative_absolute_error: 0.6426, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.3537, root_relative_squared_error: 0.7111, scimark_benchmark: 1373.2868, usercpu_time_millis: 21.464, usercpu_time_millis_testing: 1.703, usercpu_time_millis_training: 19.761,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6936, f_measure: 0.6041, kappa: 0.2169, kb_relative_information_score: 1105.6601, mean_absolute_error: 0.466, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.6354, predictive_accuracy: 0.6285, prior_entropy: 0.9924, recall: 0.6285, relative_absolute_error: 0.9418, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.4762, root_relative_squared_error: 0.9574, scimark_benchmark: 1373.1301, usercpu_time_millis: 11.591, usercpu_time_millis_testing: 0.933, usercpu_time_millis_training: 10.658,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9732, f_measure: 0.9149, kappa: 0.8276, kb_relative_information_score: 9720.7442, mean_absolute_error: 0.1918, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.9157, predictive_accuracy: 0.9152, prior_entropy: 0.9924, recall: 0.9152, relative_absolute_error: 0.3877, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.2699, root_relative_squared_error: 0.5427, scimark_benchmark: 1375.4264, usercpu_time_millis: 4.144, usercpu_time_millis_testing: 0.161, usercpu_time_millis_training: 3.983,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.976, f_measure: 0.9174, kappa: 0.8328, kb_relative_information_score: 9156.5428, mean_absolute_error: 0.2147, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.918, predictive_accuracy: 0.9176, prior_entropy: 0.9924, recall: 0.9176, relative_absolute_error: 0.4339, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.2766, root_relative_squared_error: 0.5562, scimark_benchmark: 1960.3587, usercpu_time_millis: 74.394, usercpu_time_millis_testing: 3.644, usercpu_time_millis_training: 70.75,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.858, f_measure: 0.772, kappa: 0.5382, kb_relative_information_score: 4541.5972, mean_absolute_error: 0.3637, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.7784, predictive_accuracy: 0.7752, prior_entropy: 0.9924, recall: 0.7752, relative_absolute_error: 0.7351, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.4027, root_relative_squared_error: 0.8097, scimark_benchmark: 1942.77, usercpu_time_millis: 4.548, usercpu_time_millis_testing: 0.195, usercpu_time_millis_training: 4.353,
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: 0.4999, f_measure: 0.3917, kb_relative_information_score: -0.0473, 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: 2026.7882, usercpu_time_millis: 7.259, usercpu_time_millis_testing: 0.792, usercpu_time_millis_training: 6.467,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9442, f_measure: 0.8691, kappa: 0.7348, kb_relative_information_score: 7481.7804, mean_absolute_error: 0.2695, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.8704, predictive_accuracy: 0.8697, prior_entropy: 0.9924, recall: 0.8697, relative_absolute_error: 0.5448, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.3278, root_relative_squared_error: 0.6591, scimark_benchmark: 1733.8935, usercpu_time_millis: 16.274, usercpu_time_millis_testing: 0.672, usercpu_time_millis_training: 15.602,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7604, f_measure: 0.7058, kappa: 0.4038, kb_relative_information_score: 1891.4604, mean_absolute_error: 0.4445, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.7081, predictive_accuracy: 0.7087, prior_entropy: 0.9924, recall: 0.7087, relative_absolute_error: 0.8984, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.4587, root_relative_squared_error: 0.9222, scimark_benchmark: 1873.2391, usercpu_time_millis: 2.642, usercpu_time_millis_testing: 0.205, usercpu_time_millis_training: 2.437,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9464, f_measure: 0.8709, kappa: 0.7385, kb_relative_information_score: 7436.2773, mean_absolute_error: 0.2714, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.8722, predictive_accuracy: 0.8715, prior_entropy: 0.9924, recall: 0.8715, relative_absolute_error: 0.5486, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.3276, root_relative_squared_error: 0.6587, scimark_benchmark: 1821.4154, usercpu_time_millis: 142.584, usercpu_time_millis_testing: 5.896, usercpu_time_millis_training: 136.688,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9408, f_measure: 0.8596, kappa: 0.7154, kb_relative_information_score: 6160.3694, mean_absolute_error: 0.3168, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.8627, predictive_accuracy: 0.8606, prior_entropy: 0.9924, recall: 0.8606, relative_absolute_error: 0.6404, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.3529, root_relative_squared_error: 0.7094, scimark_benchmark: 1809.1289, usercpu_time_millis: 47.12, usercpu_time_millis_testing: 4.42, usercpu_time_millis_training: 42.7,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9274, f_measure: 0.8432, kappa: 0.6822, kb_relative_information_score: 6351.3998, mean_absolute_error: 0.3078, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.8457, predictive_accuracy: 0.8443, prior_entropy: 0.9924, recall: 0.8443, relative_absolute_error: 0.622, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.3541, root_relative_squared_error: 0.712, scimark_benchmark: 1745.3086, usercpu_time_millis: 54.149, usercpu_time_millis_testing: 3.008, usercpu_time_millis_training: 51.141,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7358, f_measure: 0.6615, kappa: 0.3169, kb_relative_information_score: 1361.8798, mean_absolute_error: 0.4595, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.6712, predictive_accuracy: 0.67, prior_entropy: 0.9924, recall: 0.67, relative_absolute_error: 0.9288, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.469, root_relative_squared_error: 0.943, scimark_benchmark: 1772.7679, usercpu_time_millis: 9.743, usercpu_time_millis_testing: 1.082, usercpu_time_millis_training: 8.661,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9498, f_measure: 0.8769, kappa: 0.7507, kb_relative_information_score: 8028.6772, mean_absolute_error: 0.25, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.8778, predictive_accuracy: 0.8774, prior_entropy: 0.9924, recall: 0.8774, relative_absolute_error: 0.5053, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.316, root_relative_squared_error: 0.6354, scimark_benchmark: 1736.9559, usercpu_time_millis: 215.805, usercpu_time_millis_testing: 7.549, usercpu_time_millis_training: 208.256,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9775, f_measure: 0.9229, kappa: 0.8438, kb_relative_information_score: 9558.7861, mean_absolute_error: 0.2, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.9234, predictive_accuracy: 0.923, prior_entropy: 0.9924, recall: 0.923, relative_absolute_error: 0.4042, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.2673, root_relative_squared_error: 0.5375, scimark_benchmark: 1712.2872, usercpu_time_millis: 114.461, usercpu_time_millis_testing: 2.988, usercpu_time_millis_training: 111.473,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9374, f_measure: 0.8538, kappa: 0.7037, kb_relative_information_score: 6277.7381, mean_absolute_error: 0.312, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.8566, predictive_accuracy: 0.8548, prior_entropy: 0.9924, recall: 0.8548, relative_absolute_error: 0.6306, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.3518, root_relative_squared_error: 0.7073, scimark_benchmark: 1740.0638, usercpu_time_millis: 79.255, usercpu_time_millis_testing: 6.165, usercpu_time_millis_training: 73.09,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9479, f_measure: 0.8739, kappa: 0.7445, kb_relative_information_score: 7429.5124, mean_absolute_error: 0.2725, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.8755, predictive_accuracy: 0.8745, prior_entropy: 0.9924, recall: 0.8745, relative_absolute_error: 0.5507, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.3265, root_relative_squared_error: 0.6564, scimark_benchmark: 1787.187, usercpu_time_millis: 139.677, usercpu_time_millis_testing: 8.921, usercpu_time_millis_training: 130.756,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9542, f_measure: 0.8801, kappa: 0.7571, kb_relative_information_score: 7561.6698, mean_absolute_error: 0.2685, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.8812, predictive_accuracy: 0.8806, prior_entropy: 0.9924, recall: 0.8806, relative_absolute_error: 0.5426, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.3212, root_relative_squared_error: 0.6458, scimark_benchmark: 1847.9387, usercpu_time_millis: 84.907, usercpu_time_millis_testing: 5.046, usercpu_time_millis_training: 79.861,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.966, f_measure: 0.9013, kappa: 0.8001, kb_relative_information_score: 8455.6242, mean_absolute_error: 0.2383, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.902, predictive_accuracy: 0.9016, prior_entropy: 0.9924, recall: 0.9016, relative_absolute_error: 0.4816, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.2976, root_relative_squared_error: 0.5983, scimark_benchmark: 1810.0574, usercpu_time_millis: 57.583, usercpu_time_millis_testing: 2.968, usercpu_time_millis_training: 54.615,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9824, f_measure: 0.926, kappa: 0.8501, kb_relative_information_score: 8447.9895, mean_absolute_error: 0.2428, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.927, predictive_accuracy: 0.9262, prior_entropy: 0.9924, recall: 0.9262, relative_absolute_error: 0.4907, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.2875, root_relative_squared_error: 0.578, scimark_benchmark: 1793.6527, usercpu_time_millis: 21.843, usercpu_time_millis_testing: 1.764, usercpu_time_millis_training: 20.079,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.939, f_measure: 0.8564, kappa: 0.7089, kb_relative_information_score: 6392.9632, mean_absolute_error: 0.308, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.859, predictive_accuracy: 0.8573, prior_entropy: 0.9924, recall: 0.8573, relative_absolute_error: 0.6226, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.3492, root_relative_squared_error: 0.702, scimark_benchmark: 1748.6655, usercpu_time_millis: 13.165, usercpu_time_millis_testing: 0.791, usercpu_time_millis_training: 12.374,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4998, f_measure: 0.3917, kb_relative_information_score: -0.3037, 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: 1814.5205, usercpu_time_millis: 10.562, usercpu_time_millis_testing: 1.759, usercpu_time_millis_training: 8.803,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.3917, kb_relative_information_score: -0.0705, 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: 1735.5848, usercpu_time_millis: 3.196, usercpu_time_millis_testing: 0.292, usercpu_time_millis_training: 2.904,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9812, f_measure: 0.9294, kappa: 0.857, kb_relative_information_score: 9944.2847, mean_absolute_error: 0.1866, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.9298, predictive_accuracy: 0.9295, prior_entropy: 0.9924, recall: 0.9295, relative_absolute_error: 0.3771, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.2558, root_relative_squared_error: 0.5142, scimark_benchmark: 1816.1201, usercpu_time_millis: 52.578, usercpu_time_millis_testing: 1.382, usercpu_time_millis_training: 51.196,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3917, kb_relative_information_score: -0.6247, 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: 1705.5941, usercpu_time_millis: 21.996, usercpu_time_millis_testing: 1.372, usercpu_time_millis_training: 20.624,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7002, f_measure: 0.5718, kappa: 0.1724, kb_relative_information_score: 782.4095, mean_absolute_error: 0.4751, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.6261, predictive_accuracy: 0.6121, prior_entropy: 0.9924, recall: 0.6121, relative_absolute_error: 0.9602, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.4811, root_relative_squared_error: 0.9673, scimark_benchmark: 1733.3606, usercpu_time_millis: 11.686, usercpu_time_millis_testing: 1.407, usercpu_time_millis_training: 10.279,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9441, f_measure: 0.8685, kappa: 0.7337, kb_relative_information_score: 7696.8986, mean_absolute_error: 0.2612, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.8694, predictive_accuracy: 0.869, prior_entropy: 0.9924, recall: 0.869, relative_absolute_error: 0.528, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.3247, root_relative_squared_error: 0.6528, scimark_benchmark: 1834.6918, usercpu_time_millis: 215.458, usercpu_time_millis_testing: 7.635, usercpu_time_millis_training: 207.823,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9325, f_measure: 0.8537, kappa: 0.7037, kb_relative_information_score: 7215.1176, mean_absolute_error: 0.2769, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.8548, predictive_accuracy: 0.8543, prior_entropy: 0.9924, recall: 0.8543, relative_absolute_error: 0.5596, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.3383, root_relative_squared_error: 0.6803, scimark_benchmark: 1864.125, usercpu_time_millis: 183.192, usercpu_time_millis_testing: 6.1, usercpu_time_millis_training: 177.092,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9783, f_measure: 0.9264, kappa: 0.8511, kb_relative_information_score: 10498.1428, mean_absolute_error: 0.164, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.9268, predictive_accuracy: 0.9266, prior_entropy: 0.9924, recall: 0.9266, relative_absolute_error: 0.3315, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.2496, root_relative_squared_error: 0.5018, scimark_benchmark: 1722.2536, usercpu_time_millis: 118.909, usercpu_time_millis_testing: 2.873, usercpu_time_millis_training: 116.036,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9694, f_measure: 0.9059, kappa: 0.8095, kb_relative_information_score: 8724.8549, mean_absolute_error: 0.2289, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.9066, predictive_accuracy: 0.9062, prior_entropy: 0.9924, recall: 0.9062, relative_absolute_error: 0.4627, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.2903, root_relative_squared_error: 0.5837, scimark_benchmark: 1841.6688, usercpu_time_millis: 117.745, usercpu_time_millis_testing: 5.591, usercpu_time_millis_training: 112.154,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9729, f_measure: 0.9139, kappa: 0.8257, kb_relative_information_score: 9089.1041, mean_absolute_error: 0.2163, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.9145, predictive_accuracy: 0.9142, prior_entropy: 0.9924, recall: 0.9142, relative_absolute_error: 0.4372, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.2806, root_relative_squared_error: 0.5641, scimark_benchmark: 1854.4431, usercpu_time_millis: 108.48, usercpu_time_millis_testing: 3.461, usercpu_time_millis_training: 105.019,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9415, f_measure: 0.8628, kappa: 0.7219, kb_relative_information_score: 6861.5746, mean_absolute_error: 0.2919, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.8648, predictive_accuracy: 0.8636, prior_entropy: 0.9924, recall: 0.8636, relative_absolute_error: 0.5899, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.3394, root_relative_squared_error: 0.6824, scimark_benchmark: 1721.9117, usercpu_time_millis: 105.606, usercpu_time_millis_testing: 8.817, usercpu_time_millis_training: 96.789,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9439, f_measure: 0.8665, kappa: 0.7296, kb_relative_information_score: 7199.7372, mean_absolute_error: 0.2796, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.8682, predictive_accuracy: 0.8672, prior_entropy: 0.9924, recall: 0.8672, relative_absolute_error: 0.5652, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.3329, root_relative_squared_error: 0.6692, scimark_benchmark: 1835.1458, usercpu_time_millis: 80.532, usercpu_time_millis_testing: 4.427, usercpu_time_millis_training: 76.105,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.91, f_measure: 0.8276, kappa: 0.6506, kb_relative_information_score: 6419.3294, mean_absolute_error: 0.3026, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.8297, predictive_accuracy: 0.8287, prior_entropy: 0.9924, recall: 0.8287, relative_absolute_error: 0.6117, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.36, root_relative_squared_error: 0.7239, scimark_benchmark: 1837.6486, usercpu_time_millis: 96.941, usercpu_time_millis_testing: 4.042, usercpu_time_millis_training: 92.899,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9116, f_measure: 0.8278, kappa: 0.651, kb_relative_information_score: 5788.0281, mean_absolute_error: 0.3257, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.8312, predictive_accuracy: 0.8292, prior_entropy: 0.9924, recall: 0.8292, relative_absolute_error: 0.6583, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.3689, root_relative_squared_error: 0.7416, scimark_benchmark: 1726.1218, usercpu_time_millis: 77.806, usercpu_time_millis_testing: 5.172, usercpu_time_millis_training: 72.634,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8127, f_measure: 0.7317, kappa: 0.4569, kb_relative_information_score: 3681.837, mean_absolute_error: 0.3897, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.7381, predictive_accuracy: 0.7359, prior_entropy: 0.9924, recall: 0.7359, relative_absolute_error: 0.7876, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.4249, root_relative_squared_error: 0.8543, scimark_benchmark: 1861.2508, usercpu_time_millis: 61.934, usercpu_time_millis_testing: 2.934, usercpu_time_millis_training: 59,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9663, f_measure: 0.8996, kappa: 0.7967, kb_relative_information_score: 8313.4154, mean_absolute_error: 0.2437, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.9005, predictive_accuracy: 0.8999, prior_entropy: 0.9924, recall: 0.8999, relative_absolute_error: 0.4925, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.3, root_relative_squared_error: 0.6031, scimark_benchmark: 1741.7655, usercpu_time_millis: 73.668, usercpu_time_millis_testing: 4.623, usercpu_time_millis_training: 69.045,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9463, f_measure: 0.8706, kappa: 0.7378, kb_relative_information_score: 7275.7156, mean_absolute_error: 0.2776, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.872, predictive_accuracy: 0.8712, prior_entropy: 0.9924, recall: 0.8712, relative_absolute_error: 0.561, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.3301, root_relative_squared_error: 0.6637, scimark_benchmark: 1855.0231, usercpu_time_millis: 63.394, usercpu_time_millis_testing: 3.826, usercpu_time_millis_training: 59.568,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9729, f_measure: 0.9082, kappa: 0.814, kb_relative_information_score: 8013.7799, mean_absolute_error: 0.2561, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.9095, predictive_accuracy: 0.9085, prior_entropy: 0.9924, recall: 0.9085, relative_absolute_error: 0.5177, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.3024, root_relative_squared_error: 0.608, scimark_benchmark: 1853.454, usercpu_time_millis: 62.099, usercpu_time_millis_testing: 4.471, usercpu_time_millis_training: 57.628,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7825, f_measure: 0.708, kappa: 0.4084, kb_relative_information_score: 2855.8627, mean_absolute_error: 0.4153, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.711, predictive_accuracy: 0.7113, prior_entropy: 0.9924, recall: 0.7113, relative_absolute_error: 0.8394, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.4413, root_relative_squared_error: 0.8873, scimark_benchmark: 1858.2223, usercpu_time_millis: 58.232, usercpu_time_millis_testing: 4.239, usercpu_time_millis_training: 53.993,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9668, f_measure: 0.8979, kappa: 0.7932, kb_relative_information_score: 7906.4043, mean_absolute_error: 0.2586, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.8992, predictive_accuracy: 0.8983, prior_entropy: 0.9924, recall: 0.8983, relative_absolute_error: 0.5226, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.3079, root_relative_squared_error: 0.6191, scimark_benchmark: 1749.9528, usercpu_time_millis: 57.478, usercpu_time_millis_testing: 3.706, usercpu_time_millis_training: 53.772,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8814, f_measure: 0.7947, kappa: 0.5841, kb_relative_information_score: 5299.147, mean_absolute_error: 0.3389, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.8, predictive_accuracy: 0.7971, prior_entropy: 0.9924, recall: 0.7971, relative_absolute_error: 0.6849, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.3864, root_relative_squared_error: 0.7768, scimark_benchmark: 1857.5664, usercpu_time_millis: 55.136, usercpu_time_millis_testing: 2.219, usercpu_time_millis_training: 52.917,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.945, f_measure: 0.8673, kappa: 0.7312, kb_relative_information_score: 6846.9353, mean_absolute_error: 0.2928, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.8691, predictive_accuracy: 0.868, prior_entropy: 0.9924, recall: 0.868, relative_absolute_error: 0.5918, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.3384, root_relative_squared_error: 0.6805, scimark_benchmark: 1858.6775, usercpu_time_millis: 40.871, usercpu_time_millis_testing: 3.131, usercpu_time_millis_training: 37.74,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7916, f_measure: 0.7148, kappa: 0.4221, kb_relative_information_score: 2879.1969, mean_absolute_error: 0.4151, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.7166, predictive_accuracy: 0.7172, prior_entropy: 0.9924, recall: 0.7172, relative_absolute_error: 0.839, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.4394, root_relative_squared_error: 0.8835, scimark_benchmark: 1756.1423, usercpu_time_millis: 35.173, usercpu_time_millis_testing: 2.714, usercpu_time_millis_training: 32.459,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7935, f_measure: 0.719, kappa: 0.4308, kb_relative_information_score: 3072.4623, mean_absolute_error: 0.4089, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.7224, predictive_accuracy: 0.7222, prior_entropy: 0.9924, recall: 0.7222, relative_absolute_error: 0.8264, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.4365, root_relative_squared_error: 0.8776, scimark_benchmark: 1844.7474, usercpu_time_millis: 45.483, usercpu_time_millis_testing: 3.471, usercpu_time_millis_training: 42.012,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8379, f_measure: 0.7534, kappa: 0.5013, kb_relative_information_score: 4234.9105, mean_absolute_error: 0.3727, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.763, predictive_accuracy: 0.7581, prior_entropy: 0.9924, recall: 0.7581, relative_absolute_error: 0.7533, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.4122, root_relative_squared_error: 0.8287, scimark_benchmark: 1738.9259, usercpu_time_millis: 42.078, usercpu_time_millis_testing: 2.361, usercpu_time_millis_training: 39.717,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9402, f_measure: 0.862, kappa: 0.7204, kb_relative_information_score: 7022.0963, mean_absolute_error: 0.2855, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.8637, predictive_accuracy: 0.8628, prior_entropy: 0.9924, recall: 0.8628, relative_absolute_error: 0.577, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.3376, root_relative_squared_error: 0.6787, scimark_benchmark: 1855.0232, usercpu_time_millis: 32.391, usercpu_time_millis_testing: 1.263, usercpu_time_millis_training: 31.128,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9492, f_measure: 0.8751, kappa: 0.747, kb_relative_information_score: 7512.0284, mean_absolute_error: 0.2692, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.8763, predictive_accuracy: 0.8756, prior_entropy: 0.9924, recall: 0.8756, relative_absolute_error: 0.544, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.3248, root_relative_squared_error: 0.6531, scimark_benchmark: 1751.4372, usercpu_time_millis: 32.427, usercpu_time_millis_testing: 1.436, usercpu_time_millis_training: 30.991,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6992, f_measure: 0.6466, kappa: 0.2838, kb_relative_information_score: 1327.8488, mean_absolute_error: 0.4596, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.6472, predictive_accuracy: 0.6494, prior_entropy: 0.9924, recall: 0.6494, relative_absolute_error: 0.9289, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.4725, root_relative_squared_error: 0.95, scimark_benchmark: 1858.4861, usercpu_time_millis: 29.739, usercpu_time_millis_testing: 2.48, usercpu_time_millis_training: 27.259,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9738, f_measure: 0.9152, kappa: 0.8282, kb_relative_information_score: 9300.9103, mean_absolute_error: 0.2085, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.9156, predictive_accuracy: 0.9154, prior_entropy: 0.9924, recall: 0.9154, relative_absolute_error: 0.4213, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.276, root_relative_squared_error: 0.5549, scimark_benchmark: 1723.9577, usercpu_time_millis: 23.94, usercpu_time_millis_testing: 0.678, usercpu_time_millis_training: 23.262,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8051, f_measure: 0.7274, kappa: 0.4475, kb_relative_information_score: 3128.9399, mean_absolute_error: 0.4078, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.7295, predictive_accuracy: 0.7298, prior_entropy: 0.9924, recall: 0.7298, relative_absolute_error: 0.8242, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.4335, root_relative_squared_error: 0.8717, scimark_benchmark: 1853.454, usercpu_time_millis: 21.449, usercpu_time_millis_testing: 1.419, usercpu_time_millis_training: 20.03,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9571, f_measure: 0.8875, kappa: 0.7721, kb_relative_information_score: 8134.6582, mean_absolute_error: 0.2478, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.8883, predictive_accuracy: 0.8879, prior_entropy: 0.9924, recall: 0.8879, relative_absolute_error: 0.5009, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.3095, root_relative_squared_error: 0.6223, scimark_benchmark: 1852.0126, usercpu_time_millis: 161.116, usercpu_time_millis_testing: 5.266, usercpu_time_millis_training: 155.85,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8574, f_measure: 0.7696, kappa: 0.5335, kb_relative_information_score: 4657.7028, mean_absolute_error: 0.3593, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.7769, predictive_accuracy: 0.7731, prior_entropy: 0.9924, recall: 0.7731, relative_absolute_error: 0.7262, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.4015, root_relative_squared_error: 0.8073, scimark_benchmark: 1788.1231, usercpu_time_millis: 16.852, usercpu_time_millis_testing: 0.788, usercpu_time_millis_training: 16.064,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9182, f_measure: 0.8347, kappa: 0.6651, kb_relative_information_score: 5569.4668, mean_absolute_error: 0.3347, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.8382, predictive_accuracy: 0.8361, prior_entropy: 0.9924, recall: 0.8361, relative_absolute_error: 0.6765, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.3701, root_relative_squared_error: 0.7441, scimark_benchmark: 1750.4705, usercpu_time_millis: 12.94, usercpu_time_millis_testing: 1.309, usercpu_time_millis_training: 11.631,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.838, f_measure: 0.7578, kappa: 0.51, kb_relative_information_score: 2820.9422, mean_absolute_error: 0.4194, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.7663, predictive_accuracy: 0.762, prior_entropy: 0.9924, recall: 0.762, relative_absolute_error: 0.8476, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.4346, root_relative_squared_error: 0.8739, scimark_benchmark: 1798.437, usercpu_time_millis: 15.603, usercpu_time_millis_testing: 1.653, usercpu_time_millis_training: 13.95,

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