OpenML
Supervised Classification on nomao

Supervised Classification on nomao

Task 9977 Supervised Classification nomao 31676 runs submitted
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  • OpenML-CC18 OpenML100 study_123 study_14 study_218 study_99
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.5954, kb_relative_information_score: -0.3587, mean_absolute_error: 0.4081, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.5103, predictive_accuracy: 0.7144, prior_entropy: 0.863, recall: 0.7144, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.4517, root_relative_squared_error: 1, scimark_benchmark: 1857.1082, usercpu_time_millis: 72.46, usercpu_time_millis_testing: 5.498, usercpu_time_millis_training: 66.962,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.5954, kb_relative_information_score: -2.8973, mean_absolute_error: 0.4081, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.5103, predictive_accuracy: 0.7144, prior_entropy: 0.863, recall: 0.7144, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.4517, root_relative_squared_error: 1, scimark_benchmark: 1849.3742, usercpu_time_millis: 23.788, usercpu_time_millis_testing: 1.238, usercpu_time_millis_training: 22.55,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9421, f_measure: 0.8604, kappa: 0.6562, kb_relative_information_score: 14342.7897, mean_absolute_error: 0.2532, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.8598, predictive_accuracy: 0.8611, prior_entropy: 0.863, recall: 0.8611, relative_absolute_error: 0.6205, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.3231, root_relative_squared_error: 0.7153, scimark_benchmark: 1846.6923, usercpu_time_millis: 62.068, usercpu_time_millis_testing: 3.109, usercpu_time_millis_training: 58.959,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5001, f_measure: 0.5954, kb_relative_information_score: -2.2603, mean_absolute_error: 0.4081, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.5103, predictive_accuracy: 0.7144, prior_entropy: 0.863, recall: 0.7144, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.4517, root_relative_squared_error: 1, scimark_benchmark: 1850.9652, usercpu_time_millis: 15.457, usercpu_time_millis_testing: 2.136, usercpu_time_millis_training: 13.321,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5954, kb_relative_information_score: -5.8674, mean_absolute_error: 0.4081, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.5103, predictive_accuracy: 0.7144, prior_entropy: 0.863, recall: 0.7144, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.4517, root_relative_squared_error: 1, scimark_benchmark: 1842.3188, usercpu_time_millis: 15.278, usercpu_time_millis_testing: 1.899, usercpu_time_millis_training: 13.379,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5001, f_measure: 0.5954, kb_relative_information_score: 2.1851, mean_absolute_error: 0.408, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.5103, predictive_accuracy: 0.7144, prior_entropy: 0.863, recall: 0.7144, relative_absolute_error: 0.9999, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.4517, root_relative_squared_error: 1, scimark_benchmark: 1850.2875, usercpu_time_millis: 17.883, usercpu_time_millis_testing: 1.391, usercpu_time_millis_training: 16.492,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9458, f_measure: 0.8689, kappa: 0.6802, kb_relative_information_score: 17472.454, mean_absolute_error: 0.2072, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.8696, predictive_accuracy: 0.8683, prior_entropy: 0.863, recall: 0.8683, relative_absolute_error: 0.5076, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.3045, root_relative_squared_error: 0.674, scimark_benchmark: 1806.8261, usercpu_time_millis: 33.497, usercpu_time_millis_testing: 0.745, usercpu_time_millis_training: 32.752,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9522, f_measure: 0.8815, kappa: 0.7014, kb_relative_information_score: 13444.9158, mean_absolute_error: 0.2675, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.8861, predictive_accuracy: 0.8862, prior_entropy: 0.863, recall: 0.8862, relative_absolute_error: 0.6555, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.3233, root_relative_squared_error: 0.7157, scimark_benchmark: 1853.9121, usercpu_time_millis: 62.605, usercpu_time_millis_testing: 4.929, usercpu_time_millis_training: 57.676,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9391, f_measure: 0.8593, kappa: 0.6533, kb_relative_information_score: 14638.2947, mean_absolute_error: 0.249, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.8587, predictive_accuracy: 0.8601, prior_entropy: 0.863, recall: 0.8601, relative_absolute_error: 0.6101, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.3246, root_relative_squared_error: 0.7187, scimark_benchmark: 1836.6622, usercpu_time_millis: 60.342, usercpu_time_millis_testing: 3.041, usercpu_time_millis_training: 57.301,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9708, f_measure: 0.8968, kappa: 0.7393, kb_relative_information_score: 13463.4198, mean_absolute_error: 0.2653, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9038, predictive_accuracy: 0.9013, prior_entropy: 0.863, recall: 0.9013, relative_absolute_error: 0.6502, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.3197, root_relative_squared_error: 0.7078, scimark_benchmark: 1815.0712, usercpu_time_millis: 73.749, usercpu_time_millis_testing: 7.935, usercpu_time_millis_training: 65.814,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.97, f_measure: 0.9098, kappa: 0.776, kb_relative_information_score: 21694.3185, mean_absolute_error: 0.1613, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9101, predictive_accuracy: 0.9112, prior_entropy: 0.863, recall: 0.9112, relative_absolute_error: 0.3954, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2566, root_relative_squared_error: 0.5681, scimark_benchmark: 1852.3877, usercpu_time_millis: 133.814, usercpu_time_millis_testing: 1.428, usercpu_time_millis_training: 132.386,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5954, kb_relative_information_score: -0.1321, mean_absolute_error: 0.4081, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.5103, predictive_accuracy: 0.7144, prior_entropy: 0.863, recall: 0.7144, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.4517, root_relative_squared_error: 1, scimark_benchmark: 1815.5992, usercpu_time_millis: 91.68, usercpu_time_millis_testing: 7.703, usercpu_time_millis_training: 83.977,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9339, f_measure: 0.8681, kappa: 0.6792, kb_relative_information_score: 17347.457, mean_absolute_error: 0.2067, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.8694, predictive_accuracy: 0.8672, prior_entropy: 0.863, recall: 0.8672, relative_absolute_error: 0.5065, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.3091, root_relative_squared_error: 0.6843, scimark_benchmark: 1850.9434, usercpu_time_millis: 112.158, usercpu_time_millis_testing: 1.011, usercpu_time_millis_training: 111.147,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9878, f_measure: 0.9512, kappa: 0.8801, kb_relative_information_score: 27371.3896, mean_absolute_error: 0.0886, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9511, predictive_accuracy: 0.9514, prior_entropy: 0.863, recall: 0.9514, relative_absolute_error: 0.2172, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1946, root_relative_squared_error: 0.4307, scimark_benchmark: 1854.0399, usercpu_time_millis: 153.851, usercpu_time_millis_testing: 2.349, usercpu_time_millis_training: 151.502,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9938, f_measure: 0.9663, kappa: 0.9172, kb_relative_information_score: 29504.4613, mean_absolute_error: 0.0624, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9662, predictive_accuracy: 0.9663, prior_entropy: 0.863, recall: 0.9663, relative_absolute_error: 0.153, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1614, root_relative_squared_error: 0.3573, scimark_benchmark: 1850.9434, usercpu_time_millis: 191.614, usercpu_time_millis_testing: 2.704, usercpu_time_millis_training: 188.91,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9752, f_measure: 0.9174, kappa: 0.793, kb_relative_information_score: 20521.9986, mean_absolute_error: 0.1788, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9204, predictive_accuracy: 0.9197, prior_entropy: 0.863, recall: 0.9197, relative_absolute_error: 0.438, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2568, root_relative_squared_error: 0.5686, scimark_benchmark: 1808.4562, usercpu_time_millis: 197.375, usercpu_time_millis_testing: 7.728, usercpu_time_millis_training: 189.647,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9432, f_measure: 0.8672, kappa: 0.6758, kb_relative_information_score: 17261.1982, mean_absolute_error: 0.2101, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.8678, predictive_accuracy: 0.8667, prior_entropy: 0.863, recall: 0.8667, relative_absolute_error: 0.515, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.3067, root_relative_squared_error: 0.679, scimark_benchmark: 1849.9051, usercpu_time_millis: 111.272, usercpu_time_millis_testing: 4.634, usercpu_time_millis_training: 106.638,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9717, f_measure: 0.9143, kappa: 0.7845, kb_relative_information_score: 24079.5264, mean_absolute_error: 0.1269, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.919, predictive_accuracy: 0.9172, prior_entropy: 0.863, recall: 0.9172, relative_absolute_error: 0.3109, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2397, root_relative_squared_error: 0.5308, scimark_benchmark: 1850.2875, usercpu_time_millis: 73.999, usercpu_time_millis_testing: 0.738, usercpu_time_millis_training: 73.261,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9684, f_measure: 0.909, kappa: 0.7742, kb_relative_information_score: 21936.4623, mean_absolute_error: 0.1567, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.909, predictive_accuracy: 0.9102, prior_entropy: 0.863, recall: 0.9102, relative_absolute_error: 0.384, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2589, root_relative_squared_error: 0.5731, scimark_benchmark: 1851.9456, usercpu_time_millis: 159.155, usercpu_time_millis_testing: 0.871, usercpu_time_millis_training: 158.284,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9797, f_measure: 0.9265, kappa: 0.8169, kb_relative_information_score: 20891.3607, mean_absolute_error: 0.1759, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9279, predictive_accuracy: 0.928, prior_entropy: 0.863, recall: 0.928, relative_absolute_error: 0.4311, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2511, root_relative_squared_error: 0.5558, scimark_benchmark: 1836.0792, usercpu_time_millis: 103.497, usercpu_time_millis_testing: 5.508, usercpu_time_millis_training: 97.989,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9769, f_measure: 0.9167, kappa: 0.7906, kb_relative_information_score: 24346.9529, mean_absolute_error: 0.1247, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9218, predictive_accuracy: 0.9197, prior_entropy: 0.863, recall: 0.9197, relative_absolute_error: 0.3057, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2346, root_relative_squared_error: 0.5193, scimark_benchmark: 1801.5576, usercpu_time_millis: 174.514, usercpu_time_millis_testing: 1.245, usercpu_time_millis_training: 173.269,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9522, f_measure: 0.7622, kappa: 0.3886, kb_relative_information_score: 9549.3284, mean_absolute_error: 0.3114, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.8388, predictive_accuracy: 0.8014, prior_entropy: 0.863, recall: 0.8014, relative_absolute_error: 0.7632, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.3582, root_relative_squared_error: 0.7931, scimark_benchmark: 1850.2875, usercpu_time_millis: 142.396, usercpu_time_millis_testing: 10.294, usercpu_time_millis_training: 132.102,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9886, f_measure: 0.9526, kappa: 0.8834, kb_relative_information_score: 27511.3926, mean_absolute_error: 0.087, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9525, predictive_accuracy: 0.9527, prior_entropy: 0.863, recall: 0.9527, relative_absolute_error: 0.2132, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1919, root_relative_squared_error: 0.4247, scimark_benchmark: 1849.3014, usercpu_time_millis: 188.704, usercpu_time_millis_testing: 4.257, usercpu_time_millis_training: 184.447,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9524, f_measure: 0.8689, kappa: 0.6807, kb_relative_information_score: 17657.6695, mean_absolute_error: 0.2036, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.8699, predictive_accuracy: 0.8682, prior_entropy: 0.863, recall: 0.8682, relative_absolute_error: 0.4989, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.3042, root_relative_squared_error: 0.6735, scimark_benchmark: 1851.8567, usercpu_time_millis: 164.245, usercpu_time_millis_testing: 2.212, usercpu_time_millis_training: 162.033,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9815, f_measure: 0.9324, kappa: 0.8321, kb_relative_information_score: 25172.5661, mean_absolute_error: 0.1151, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9332, predictive_accuracy: 0.9335, prior_entropy: 0.863, recall: 0.9335, relative_absolute_error: 0.282, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2233, root_relative_squared_error: 0.4943, scimark_benchmark: 1839.1303, usercpu_time_millis: 180.041, usercpu_time_millis_testing: 2.959, usercpu_time_millis_training: 177.082,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9881, f_measure: 0.949, kappa: 0.874, kb_relative_information_score: 26487.3318, mean_absolute_error: 0.1014, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.949, predictive_accuracy: 0.9493, prior_entropy: 0.863, recall: 0.9493, relative_absolute_error: 0.2484, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2, root_relative_squared_error: 0.4429, scimark_benchmark: 1848.321, usercpu_time_millis: 212.235, usercpu_time_millis_testing: 13.135, usercpu_time_millis_training: 199.1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9124, f_measure: 0.8583, kappa: 0.6521, kb_relative_information_score: 15444.6395, mean_absolute_error: 0.2364, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.8581, predictive_accuracy: 0.8586, prior_entropy: 0.863, recall: 0.8586, relative_absolute_error: 0.5794, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.3328, root_relative_squared_error: 0.7367, scimark_benchmark: 1829.1412, usercpu_time_millis: 172.309, usercpu_time_millis_testing: 5.664, usercpu_time_millis_training: 166.645,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.5954, kb_relative_information_score: -1.5564, mean_absolute_error: 0.4081, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.5103, predictive_accuracy: 0.7144, prior_entropy: 0.863, recall: 0.7144, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.4517, root_relative_squared_error: 1, scimark_benchmark: 1832.5979, usercpu_time_millis: 83.2, usercpu_time_millis_testing: 7.93, usercpu_time_millis_training: 75.27,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9573, f_measure: 0.9026, kappa: 0.759, kb_relative_information_score: 19669.1229, mean_absolute_error: 0.1808, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9024, predictive_accuracy: 0.9037, prior_entropy: 0.863, recall: 0.9037, relative_absolute_error: 0.443, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2778, root_relative_squared_error: 0.6149, scimark_benchmark: 1843.1989, usercpu_time_millis: 146.819, usercpu_time_millis_testing: 1.429, usercpu_time_millis_training: 145.39,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9671, f_measure: 0.9058, kappa: 0.7669, kb_relative_information_score: 22679.7874, mean_absolute_error: 0.1448, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9057, predictive_accuracy: 0.9069, prior_entropy: 0.863, recall: 0.9069, relative_absolute_error: 0.3548, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2556, root_relative_squared_error: 0.5659, scimark_benchmark: 1850.6636, usercpu_time_millis: 179.823, usercpu_time_millis_testing: 0.861, usercpu_time_millis_training: 178.962,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9843, f_measure: 0.936, kappa: 0.8407, kb_relative_information_score: 21076.6134, mean_absolute_error: 0.1758, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.937, predictive_accuracy: 0.9371, prior_entropy: 0.863, recall: 0.9371, relative_absolute_error: 0.4307, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2468, root_relative_squared_error: 0.5464, scimark_benchmark: 1808.526, usercpu_time_millis: 187.194, usercpu_time_millis_testing: 10.976, usercpu_time_millis_training: 176.218,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9911, f_measure: 0.955, kappa: 0.8889, kb_relative_information_score: 26368.2758, mean_absolute_error: 0.1059, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9552, predictive_accuracy: 0.9554, prior_entropy: 0.863, recall: 0.9554, relative_absolute_error: 0.2595, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1935, root_relative_squared_error: 0.4284, scimark_benchmark: 1829.1442, usercpu_time_millis: 157.24, usercpu_time_millis_testing: 5.973, usercpu_time_millis_training: 151.267,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9809, f_measure: 0.9292, kappa: 0.8237, kb_relative_information_score: 19778.7978, mean_absolute_error: 0.1915, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9304, predictive_accuracy: 0.9305, prior_entropy: 0.863, recall: 0.9305, relative_absolute_error: 0.4693, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2599, root_relative_squared_error: 0.5754, scimark_benchmark: 1717.5974, usercpu_time_millis: 237.194, usercpu_time_millis_testing: 13.433, usercpu_time_millis_training: 223.761,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9774, f_measure: 0.9171, kappa: 0.7915, kb_relative_information_score: 24503.2872, mean_absolute_error: 0.1222, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.922, predictive_accuracy: 0.9199, prior_entropy: 0.863, recall: 0.9199, relative_absolute_error: 0.2995, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.233, root_relative_squared_error: 0.5159, scimark_benchmark: 1848.321, usercpu_time_millis: 819.125, usercpu_time_millis_testing: 5.552, usercpu_time_millis_training: 813.573,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9827, f_measure: 0.9348, kappa: 0.8384, kb_relative_information_score: 26015.1197, mean_absolute_error: 0.1027, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9351, predictive_accuracy: 0.9356, prior_entropy: 0.863, recall: 0.9356, relative_absolute_error: 0.2517, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2158, root_relative_squared_error: 0.4776, scimark_benchmark: 1810.5534, usercpu_time_millis: 846.128, usercpu_time_millis_testing: 3.234, usercpu_time_millis_training: 842.894,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9838, f_measure: 0.9375, kappa: 0.8453, kb_relative_information_score: 25659.3354, mean_absolute_error: 0.1093, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9376, predictive_accuracy: 0.9381, prior_entropy: 0.863, recall: 0.9381, relative_absolute_error: 0.2679, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2154, root_relative_squared_error: 0.4769, scimark_benchmark: 1811.7508, usercpu_time_millis: 484.827, usercpu_time_millis_testing: 6.869, usercpu_time_millis_training: 477.958,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9883, f_measure: 0.9515, kappa: 0.8811, kb_relative_information_score: 27170.8688, mean_absolute_error: 0.091, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9515, predictive_accuracy: 0.9516, prior_entropy: 0.863, recall: 0.9516, relative_absolute_error: 0.2229, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1955, root_relative_squared_error: 0.4328, scimark_benchmark: 1840.7617, usercpu_time_millis: 943.587, usercpu_time_millis_testing: 10.363, usercpu_time_millis_training: 933.224,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.981, f_measure: 0.9319, kappa: 0.8307, kb_relative_information_score: 25129.3896, mean_absolute_error: 0.1153, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9329, predictive_accuracy: 0.9331, prior_entropy: 0.863, recall: 0.9331, relative_absolute_error: 0.2825, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2243, root_relative_squared_error: 0.4966, scimark_benchmark: 1846.1643, usercpu_time_millis: 927.431, usercpu_time_millis_testing: 7.167, usercpu_time_millis_training: 920.264,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9793, f_measure: 0.9184, kappa: 0.795, kb_relative_information_score: 24269.4573, mean_absolute_error: 0.1275, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.923, predictive_accuracy: 0.9211, prior_entropy: 0.863, recall: 0.9211, relative_absolute_error: 0.3125, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2323, root_relative_squared_error: 0.5144, scimark_benchmark: 1853.454, usercpu_time_millis: 1293.031, usercpu_time_millis_testing: 13.055, usercpu_time_millis_training: 1279.976,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9549, f_measure: 0.9051, kappa: 0.7649, kb_relative_information_score: 19738.9191, mean_absolute_error: 0.1801, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9049, predictive_accuracy: 0.9062, prior_entropy: 0.863, recall: 0.9062, relative_absolute_error: 0.4412, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.278, root_relative_squared_error: 0.6154, scimark_benchmark: 1838.6751, usercpu_time_millis: 1306.78, usercpu_time_millis_testing: 6.995, usercpu_time_millis_training: 1299.785,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9811, f_measure: 0.9337, kappa: 0.8353, kb_relative_information_score: 25317.7562, mean_absolute_error: 0.1123, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9343, predictive_accuracy: 0.9347, prior_entropy: 0.863, recall: 0.9347, relative_absolute_error: 0.2751, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.223, root_relative_squared_error: 0.4937, scimark_benchmark: 1853.9121, usercpu_time_millis: 1250.914, usercpu_time_millis_testing: 11.459, usercpu_time_millis_training: 1239.455,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9219, f_measure: 0.8619, kappa: 0.6667, kb_relative_information_score: 17343.832, mean_absolute_error: 0.2045, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.8651, predictive_accuracy: 0.8601, prior_entropy: 0.863, recall: 0.8601, relative_absolute_error: 0.5011, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.3135, root_relative_squared_error: 0.694, scimark_benchmark: 1796.6402, usercpu_time_millis: 1287.519, usercpu_time_millis_testing: 8.658, usercpu_time_millis_training: 1278.861,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9867, f_measure: 0.9459, kappa: 0.8669, kb_relative_information_score: 26766.8711, mean_absolute_error: 0.0954, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9458, predictive_accuracy: 0.9461, prior_entropy: 0.863, recall: 0.9461, relative_absolute_error: 0.2337, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.202, root_relative_squared_error: 0.4471, scimark_benchmark: 1840.5168, usercpu_time_millis: 1024.648, usercpu_time_millis_testing: 8.486, usercpu_time_millis_training: 1016.162,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9765, f_measure: 0.9161, kappa: 0.7889, kb_relative_information_score: 24266.0709, mean_absolute_error: 0.1258, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9213, predictive_accuracy: 0.9191, prior_entropy: 0.863, recall: 0.9191, relative_absolute_error: 0.3083, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2352, root_relative_squared_error: 0.5206, scimark_benchmark: 1833.639, usercpu_time_millis: 1424.468, usercpu_time_millis_testing: 9.082, usercpu_time_millis_training: 1415.386,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9794, f_measure: 0.9239, kappa: 0.8096, kb_relative_information_score: 24761.4335, mean_absolute_error: 0.1189, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9269, predictive_accuracy: 0.926, prior_entropy: 0.863, recall: 0.926, relative_absolute_error: 0.2914, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2296, root_relative_squared_error: 0.5082, scimark_benchmark: 1843.657, usercpu_time_millis: 1412.446, usercpu_time_millis_testing: 7.402, usercpu_time_millis_training: 1405.044,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9742, f_measure: 0.9154, kappa: 0.787, kb_relative_information_score: 24359.986, mean_absolute_error: 0.123, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9208, predictive_accuracy: 0.9184, prior_entropy: 0.863, recall: 0.9184, relative_absolute_error: 0.3014, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2377, root_relative_squared_error: 0.5261, scimark_benchmark: 1854.4951, usercpu_time_millis: 1429.537, usercpu_time_millis_testing: 6.766, usercpu_time_millis_training: 1422.771,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9807, f_measure: 0.9288, kappa: 0.8223, kb_relative_information_score: 24983.0497, mean_absolute_error: 0.1171, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9304, predictive_accuracy: 0.9302, prior_entropy: 0.863, recall: 0.9302, relative_absolute_error: 0.2869, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2257, root_relative_squared_error: 0.4997, scimark_benchmark: 1852.9988, usercpu_time_millis: 1292.083, usercpu_time_millis_testing: 9.895, usercpu_time_millis_training: 1282.188,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.972, f_measure: 0.9139, kappa: 0.7835, kb_relative_information_score: 24021.0575, mean_absolute_error: 0.1276, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9183, predictive_accuracy: 0.9167, prior_entropy: 0.863, recall: 0.9167, relative_absolute_error: 0.3127, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2404, root_relative_squared_error: 0.5323, scimark_benchmark: 1854.568, usercpu_time_millis: 2009.938, usercpu_time_millis_testing: 8.439, usercpu_time_millis_training: 2001.499,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9677, f_measure: 0.9059, kappa: 0.7669, kb_relative_information_score: 22030.0327, mean_absolute_error: 0.1547, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9057, predictive_accuracy: 0.907, prior_entropy: 0.863, recall: 0.907, relative_absolute_error: 0.3791, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2604, root_relative_squared_error: 0.5765, scimark_benchmark: 1840.2451, usercpu_time_millis: 1741.425, usercpu_time_millis_testing: 10.74, usercpu_time_millis_training: 1730.685,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9875, f_measure: 0.9445, kappa: 0.8626, kb_relative_information_score: 25617.5106, mean_absolute_error: 0.1134, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9448, predictive_accuracy: 0.9451, prior_entropy: 0.863, recall: 0.9451, relative_absolute_error: 0.2778, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2074, root_relative_squared_error: 0.4591, scimark_benchmark: 1844.4224, usercpu_time_millis: 537.898, usercpu_time_millis_testing: 18.995, usercpu_time_millis_training: 518.903,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9832, f_measure: 0.9372, kappa: 0.8445, kb_relative_information_score: 25963.4548, mean_absolute_error: 0.104, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9375, predictive_accuracy: 0.938, prior_entropy: 0.863, recall: 0.938, relative_absolute_error: 0.2549, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.215, root_relative_squared_error: 0.476, scimark_benchmark: 1832.0698, usercpu_time_millis: 904.114, usercpu_time_millis_testing: 4.344, usercpu_time_millis_training: 899.77,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9815, f_measure: 0.9324, kappa: 0.8322, kb_relative_information_score: 25060.0814, mean_absolute_error: 0.1168, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9331, predictive_accuracy: 0.9334, prior_entropy: 0.863, recall: 0.9334, relative_absolute_error: 0.2863, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2235, root_relative_squared_error: 0.4949, scimark_benchmark: 1848.321, usercpu_time_millis: 1102.639, usercpu_time_millis_testing: 12.675, usercpu_time_millis_training: 1089.964,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9786, f_measure: 0.9314, kappa: 0.8296, kb_relative_information_score: 25140.5301, mean_absolute_error: 0.1121, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9322, predictive_accuracy: 0.9325, prior_entropy: 0.863, recall: 0.9325, relative_absolute_error: 0.2747, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2275, root_relative_squared_error: 0.5037, scimark_benchmark: 1845.181, usercpu_time_millis: 778.73, usercpu_time_millis_testing: 2.603, usercpu_time_millis_training: 776.127,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9503, f_measure: 0.8695, kappa: 0.6819, kb_relative_information_score: 17590.5015, mean_absolute_error: 0.2052, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.8704, predictive_accuracy: 0.8688, prior_entropy: 0.863, recall: 0.8688, relative_absolute_error: 0.5028, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.3025, root_relative_squared_error: 0.6697, scimark_benchmark: 1844.8101, usercpu_time_millis: 802.772, usercpu_time_millis_testing: 8.635, usercpu_time_millis_training: 794.137,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9808, f_measure: 0.9319, kappa: 0.8306, kb_relative_information_score: 25164.4268, mean_absolute_error: 0.1144, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9328, predictive_accuracy: 0.9331, prior_entropy: 0.863, recall: 0.9331, relative_absolute_error: 0.2804, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2245, root_relative_squared_error: 0.4969, scimark_benchmark: 1855.0989, usercpu_time_millis: 703.514, usercpu_time_millis_testing: 4.069, usercpu_time_millis_training: 699.445,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9862, f_measure: 0.9456, kappa: 0.8662, kb_relative_information_score: 26786.9443, mean_absolute_error: 0.0949, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9456, predictive_accuracy: 0.9459, prior_entropy: 0.863, recall: 0.9459, relative_absolute_error: 0.2325, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.203, root_relative_squared_error: 0.4494, scimark_benchmark: 1853.3841, usercpu_time_millis: 770.092, usercpu_time_millis_testing: 7.457, usercpu_time_millis_training: 762.635,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9678, f_measure: 0.9067, kappa: 0.7689, kb_relative_information_score: 22063.8486, mean_absolute_error: 0.1545, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9066, predictive_accuracy: 0.9078, prior_entropy: 0.863, recall: 0.9078, relative_absolute_error: 0.3787, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2599, root_relative_squared_error: 0.5754, scimark_benchmark: 1850.8437, usercpu_time_millis: 1124.215, usercpu_time_millis_testing: 6.709, usercpu_time_millis_training: 1117.506,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9774, f_measure: 0.9221, kappa: 0.805, kb_relative_information_score: 24775.9585, mean_absolute_error: 0.1169, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9251, predictive_accuracy: 0.9243, prior_entropy: 0.863, recall: 0.9243, relative_absolute_error: 0.2865, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2321, root_relative_squared_error: 0.5138, scimark_benchmark: 1819.6014, usercpu_time_millis: 1501.611, usercpu_time_millis_testing: 4.927, usercpu_time_millis_training: 1496.684,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.972, f_measure: 0.9145, kappa: 0.7848, kb_relative_information_score: 24371.9752, mean_absolute_error: 0.1217, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9198, predictive_accuracy: 0.9176, prior_entropy: 0.863, recall: 0.9176, relative_absolute_error: 0.2982, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2408, root_relative_squared_error: 0.5331, scimark_benchmark: 1844.2676, usercpu_time_millis: 1514.043, usercpu_time_millis_testing: 4.899, usercpu_time_millis_training: 1509.144,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9689, f_measure: 0.9089, kappa: 0.7741, kb_relative_information_score: 22845.8596, mean_absolute_error: 0.1434, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9089, predictive_accuracy: 0.9101, prior_entropy: 0.863, recall: 0.9101, relative_absolute_error: 0.3515, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2508, root_relative_squared_error: 0.5552, scimark_benchmark: 1849.2344, usercpu_time_millis: 1131.276, usercpu_time_millis_testing: 8.121, usercpu_time_millis_training: 1123.155,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9743, f_measure: 0.916, kappa: 0.7885, kb_relative_information_score: 24394.842, mean_absolute_error: 0.1224, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9212, predictive_accuracy: 0.919, prior_entropy: 0.863, recall: 0.919, relative_absolute_error: 0.3, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2374, root_relative_squared_error: 0.5255, scimark_benchmark: 1841.2811, usercpu_time_millis: 1226.494, usercpu_time_millis_testing: 8.442, usercpu_time_millis_training: 1218.052,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9665, f_measure: 0.9067, kappa: 0.7688, kb_relative_information_score: 21412.4537, mean_absolute_error: 0.1638, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9067, predictive_accuracy: 0.9079, prior_entropy: 0.863, recall: 0.9079, relative_absolute_error: 0.4014, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2637, root_relative_squared_error: 0.5837, scimark_benchmark: 1839.0605, usercpu_time_millis: 1481.058, usercpu_time_millis_testing: 7.892, usercpu_time_millis_training: 1473.166,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9868, f_measure: 0.948, kappa: 0.8725, kb_relative_information_score: 26960.9413, mean_absolute_error: 0.093, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.948, predictive_accuracy: 0.9481, prior_entropy: 0.863, recall: 0.9481, relative_absolute_error: 0.2278, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2003, root_relative_squared_error: 0.4435, scimark_benchmark: 1849.3742, usercpu_time_millis: 120.605, usercpu_time_millis_testing: 1.265, usercpu_time_millis_training: 119.34,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5954, kb_relative_information_score: -0.8387, mean_absolute_error: 0.4081, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.5103, predictive_accuracy: 0.7144, prior_entropy: 0.863, recall: 0.7144, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.4517, root_relative_squared_error: 1, scimark_benchmark: 1855.5541, usercpu_time_millis: 60.546, usercpu_time_millis_testing: 5.93, usercpu_time_millis_training: 54.616,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9634, f_measure: 0.8941, kappa: 0.7347, kb_relative_information_score: 14455.256, mean_absolute_error: 0.2502, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.896, predictive_accuracy: 0.897, prior_entropy: 0.863, recall: 0.897, relative_absolute_error: 0.613, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.3126, root_relative_squared_error: 0.692, scimark_benchmark: 1826.4411, usercpu_time_millis: 89.259, usercpu_time_millis_testing: 8.372, usercpu_time_millis_training: 80.887,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.981, f_measure: 0.9296, kappa: 0.8246, kb_relative_information_score: 24902.3564, mean_absolute_error: 0.1185, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9311, predictive_accuracy: 0.9311, prior_entropy: 0.863, recall: 0.9311, relative_absolute_error: 0.2905, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2255, root_relative_squared_error: 0.4992, scimark_benchmark: 1853.9121, usercpu_time_millis: 122.45, usercpu_time_millis_testing: 1.4, usercpu_time_millis_training: 121.05,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5954, kb_relative_information_score: -3.7931, mean_absolute_error: 0.4081, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.5103, predictive_accuracy: 0.7144, prior_entropy: 0.863, recall: 0.7144, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.4517, root_relative_squared_error: 1, scimark_benchmark: 1822.8493, usercpu_time_millis: 49.895, usercpu_time_millis_testing: 3.621, usercpu_time_millis_training: 46.274,

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