OpenML
Supervised Classification on nomao

Supervised Classification on nomao

Task 145854 Supervised Classification nomao 32334 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9225, f_measure: 0.864, kappa: 0.6714, kb_relative_information_score: 17377.5398, mean_absolute_error: 0.2045, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.8669, predictive_accuracy: 0.8623, prior_entropy: 0.863, recall: 0.8623, relative_absolute_error: 0.5011, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.3122, root_relative_squared_error: 0.6911, scimark_benchmark: 1841.2148, usercpu_time_millis: 125.096, usercpu_time_millis_testing: 0.859, usercpu_time_millis_training: 124.237,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9918, f_measure: 0.9558, kappa: 0.8906, kb_relative_information_score: 25435.0754, mean_absolute_error: 0.121, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9562, predictive_accuracy: 0.9562, prior_entropy: 0.863, recall: 0.9562, relative_absolute_error: 0.2964, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1981, root_relative_squared_error: 0.4385, scimark_benchmark: 1900.0885, usercpu_time_millis: 97.955, usercpu_time_millis_testing: 5.552, usercpu_time_millis_training: 92.403,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.959, f_measure: 0.8741, kappa: 0.6913, kb_relative_information_score: 15668.0274, mean_absolute_error: 0.2342, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.874, predictive_accuracy: 0.8742, prior_entropy: 0.863, recall: 0.8742, relative_absolute_error: 0.5739, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.3051, root_relative_squared_error: 0.6755, scimark_benchmark: 1730.364, usercpu_time_millis: 101.12, usercpu_time_millis_testing: 4.084, usercpu_time_millis_training: 97.036,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9414, f_measure: 0.8648, kappa: 0.6693, kb_relative_information_score: 16930.4147, mean_absolute_error: 0.2152, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.865, predictive_accuracy: 0.8645, prior_entropy: 0.863, recall: 0.8645, relative_absolute_error: 0.5272, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.3095, root_relative_squared_error: 0.6851, scimark_benchmark: 1836.6789, usercpu_time_millis: 99.693, usercpu_time_millis_testing: 2.44, usercpu_time_millis_training: 97.253,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9232, f_measure: 0.8657, kappa: 0.6745, kb_relative_information_score: 17328.2294, mean_absolute_error: 0.2059, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.8679, predictive_accuracy: 0.8643, prior_entropy: 0.863, recall: 0.8643, relative_absolute_error: 0.5046, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.3108, root_relative_squared_error: 0.6881, scimark_benchmark: 1806.8676, usercpu_time_millis: 42.331, usercpu_time_millis_testing: 0.635, usercpu_time_millis_training: 41.696,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9733, f_measure: 0.9148, kappa: 0.7856, kb_relative_information_score: 24376.2229, mean_absolute_error: 0.1221, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9202, predictive_accuracy: 0.9179, prior_entropy: 0.863, recall: 0.9179, relative_absolute_error: 0.2993, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2388, root_relative_squared_error: 0.5286, scimark_benchmark: 1732.527, usercpu_time_millis: 4132.213, usercpu_time_millis_testing: 14.255, usercpu_time_millis_training: 4117.958,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9891, f_measure: 0.9536, kappa: 0.8862, kb_relative_information_score: 27925.1139, mean_absolute_error: 0.0809, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9536, predictive_accuracy: 0.9536, prior_entropy: 0.863, recall: 0.9536, relative_absolute_error: 0.1982, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1886, root_relative_squared_error: 0.4176, scimark_benchmark: 1844.2676, usercpu_time_millis: 3821.816, usercpu_time_millis_testing: 11.984, usercpu_time_millis_training: 3809.832,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9748, f_measure: 0.9152, kappa: 0.7866, kb_relative_information_score: 24238.3883, mean_absolute_error: 0.1254, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9205, predictive_accuracy: 0.9182, prior_entropy: 0.863, recall: 0.9182, relative_absolute_error: 0.3073, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2373, root_relative_squared_error: 0.5253, scimark_benchmark: 1737.8388, usercpu_time_millis: 1934.457, usercpu_time_millis_testing: 9.735, usercpu_time_millis_training: 1924.722,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9908, f_measure: 0.9593, kappa: 0.9001, kb_relative_information_score: 28523.4949, mean_absolute_error: 0.0741, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9592, predictive_accuracy: 0.9593, prior_entropy: 0.863, recall: 0.9593, relative_absolute_error: 0.1815, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1788, root_relative_squared_error: 0.3957, scimark_benchmark: 2118.4075, usercpu_time_millis: 2670.947, usercpu_time_millis_testing: 14.669, usercpu_time_millis_training: 2656.278,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.968, f_measure: 0.9078, kappa: 0.7715, kb_relative_information_score: 23103.3375, mean_absolute_error: 0.1388, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9077, predictive_accuracy: 0.9089, prior_entropy: 0.863, recall: 0.9089, relative_absolute_error: 0.34, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2498, root_relative_squared_error: 0.5529, scimark_benchmark: 1749.5893, usercpu_time_millis: 1179.997, usercpu_time_millis_testing: 5.117, usercpu_time_millis_training: 1174.88,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9807, f_measure: 0.9239, kappa: 0.8094, kb_relative_information_score: 24390.8273, mean_absolute_error: 0.1261, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9268, predictive_accuracy: 0.926, prior_entropy: 0.863, recall: 0.926, relative_absolute_error: 0.309, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2288, root_relative_squared_error: 0.5064, scimark_benchmark: 1750.5436, usercpu_time_millis: 909.709, usercpu_time_millis_testing: 8.798, usercpu_time_millis_training: 900.911,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9933, f_measure: 0.9673, kappa: 0.9197, kb_relative_information_score: 29714.7194, mean_absolute_error: 0.0595, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9672, predictive_accuracy: 0.9673, prior_entropy: 0.863, recall: 0.9673, relative_absolute_error: 0.1459, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1608, root_relative_squared_error: 0.3559, scimark_benchmark: 1830.4683, usercpu_time_millis: 1846.17, usercpu_time_millis_testing: 5.55, usercpu_time_millis_training: 1840.62,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9761, f_measure: 0.917, kappa: 0.7911, kb_relative_information_score: 24537.3717, mean_absolute_error: 0.1208, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9219, predictive_accuracy: 0.9198, prior_entropy: 0.863, recall: 0.9198, relative_absolute_error: 0.2961, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2345, root_relative_squared_error: 0.5191, scimark_benchmark: 1735.0905, usercpu_time_millis: 1883.016, usercpu_time_millis_testing: 11.965, usercpu_time_millis_training: 1871.051,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9812, f_measure: 0.9339, kappa: 0.8358, kb_relative_information_score: 25324.7224, mean_absolute_error: 0.1122, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9346, predictive_accuracy: 0.9349, prior_entropy: 0.863, recall: 0.9349, relative_absolute_error: 0.275, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2228, root_relative_squared_error: 0.4932, scimark_benchmark: 1844.7928, usercpu_time_millis: 632.835, usercpu_time_millis_testing: 6.705, usercpu_time_millis_training: 626.13,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9899, f_measure: 0.9566, kappa: 0.8936, kb_relative_information_score: 28190.182, mean_absolute_error: 0.0779, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9566, predictive_accuracy: 0.9566, prior_entropy: 0.863, recall: 0.9566, relative_absolute_error: 0.1908, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1841, root_relative_squared_error: 0.4075, scimark_benchmark: 1760.4604, usercpu_time_millis: 2304.43, usercpu_time_millis_testing: 8.062, usercpu_time_millis_training: 2296.368,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9917, f_measure: 0.9597, kappa: 0.9012, kb_relative_information_score: 28484.0409, mean_absolute_error: 0.0751, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9597, predictive_accuracy: 0.9598, prior_entropy: 0.863, recall: 0.9598, relative_absolute_error: 0.184, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1764, root_relative_squared_error: 0.3906, scimark_benchmark: 1852.9259, usercpu_time_millis: 426.854, usercpu_time_millis_testing: 5.93, usercpu_time_millis_training: 420.924,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9832, f_measure: 0.9361, kappa: 0.842, kb_relative_information_score: 25577.4301, mean_absolute_error: 0.1102, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9363, predictive_accuracy: 0.9368, prior_entropy: 0.863, recall: 0.9368, relative_absolute_error: 0.2701, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2171, root_relative_squared_error: 0.4807, scimark_benchmark: 1732.4786, usercpu_time_millis: 1414.199, usercpu_time_millis_testing: 18.948, usercpu_time_millis_training: 1395.251,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9895, f_measure: 0.9558, kappa: 0.8916, kb_relative_information_score: 28076.3425, mean_absolute_error: 0.0794, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9558, predictive_accuracy: 0.9559, prior_entropy: 0.863, recall: 0.9559, relative_absolute_error: 0.1946, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1856, root_relative_squared_error: 0.4109, scimark_benchmark: 1843.8857, usercpu_time_millis: 1470.977, usercpu_time_millis_testing: 7.97, usercpu_time_millis_training: 1463.007,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9803, f_measure: 0.9334, kappa: 0.8345, kb_relative_information_score: 25302.0087, mean_absolute_error: 0.1116, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9342, predictive_accuracy: 0.9345, prior_entropy: 0.863, recall: 0.9345, relative_absolute_error: 0.2734, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2239, root_relative_squared_error: 0.4956, scimark_benchmark: 1754.3583, usercpu_time_millis: 1014.454, usercpu_time_millis_testing: 8.058, usercpu_time_millis_training: 1006.396,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9925, f_measure: 0.9638, kappa: 0.911, kb_relative_information_score: 29306.5284, mean_absolute_error: 0.0645, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9637, predictive_accuracy: 0.9638, prior_entropy: 0.863, recall: 0.9638, relative_absolute_error: 0.158, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1671, root_relative_squared_error: 0.3699, scimark_benchmark: 1844.7928, usercpu_time_millis: 1312.509, usercpu_time_millis_testing: 3.552, usercpu_time_millis_training: 1308.957,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9935, f_measure: 0.9677, kappa: 0.9208, kb_relative_information_score: 29582.0862, mean_absolute_error: 0.0616, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9677, predictive_accuracy: 0.9678, prior_entropy: 0.863, recall: 0.9678, relative_absolute_error: 0.1509, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.161, root_relative_squared_error: 0.3565, scimark_benchmark: 1727.6435, usercpu_time_millis: 1213.884, usercpu_time_millis_testing: 6.29, usercpu_time_millis_training: 1207.594,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9863, f_measure: 0.9456, kappa: 0.8662, kb_relative_information_score: 26736.678, mean_absolute_error: 0.0957, 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: 0.2344, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2029, root_relative_squared_error: 0.4492, scimark_benchmark: 1848.321, usercpu_time_millis: 722.245, usercpu_time_millis_testing: 7.011, usercpu_time_millis_training: 715.234,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9913, f_measure: 0.9594, kappa: 0.9003, kb_relative_information_score: 28302.1739, mean_absolute_error: 0.0776, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9594, predictive_accuracy: 0.9595, prior_entropy: 0.863, recall: 0.9595, relative_absolute_error: 0.1901, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1785, root_relative_squared_error: 0.3952, scimark_benchmark: 1850.0581, usercpu_time_millis: 233.787, usercpu_time_millis_testing: 5.226, usercpu_time_millis_training: 228.561,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9868, f_measure: 0.9478, kappa: 0.8719, kb_relative_information_score: 27500.7824, mean_absolute_error: 0.0855, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9477, predictive_accuracy: 0.9479, prior_entropy: 0.863, recall: 0.9479, relative_absolute_error: 0.2095, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1979, root_relative_squared_error: 0.4382, scimark_benchmark: 1761.8214, usercpu_time_millis: 8795.033, usercpu_time_millis_testing: 21.898, usercpu_time_millis_training: 8773.135,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5954, kb_relative_information_score: 0.6175, 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: 1841.8034, usercpu_time_millis: 23.4, usercpu_time_millis_testing: 2.469, usercpu_time_millis_training: 20.931,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9098, f_measure: 0.8586, kappa: 0.6548, kb_relative_information_score: 15568.3001, mean_absolute_error: 0.2345, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.8592, predictive_accuracy: 0.8581, prior_entropy: 0.863, recall: 0.8581, relative_absolute_error: 0.5746, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.3333, root_relative_squared_error: 0.7378, scimark_benchmark: 1758.6572, usercpu_time_millis: 276.468, usercpu_time_millis_testing: 4.226, usercpu_time_millis_training: 272.242,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9709, f_measure: 0.9027, kappa: 0.7572, kb_relative_information_score: 15321.2736, mean_absolute_error: 0.2413, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9037, predictive_accuracy: 0.9047, prior_entropy: 0.863, recall: 0.9047, relative_absolute_error: 0.5913, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.3031, root_relative_squared_error: 0.671, scimark_benchmark: 1756.6875, usercpu_time_millis: 124.458, usercpu_time_millis_testing: 5.721, usercpu_time_millis_training: 118.737,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9798, f_measure: 0.9316, kappa: 0.8297, kb_relative_information_score: 25170.824, mean_absolute_error: 0.1131, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9327, predictive_accuracy: 0.9328, prior_entropy: 0.863, recall: 0.9328, relative_absolute_error: 0.2772, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2256, root_relative_squared_error: 0.4995, scimark_benchmark: 1753.9811, usercpu_time_millis: 3794.582, usercpu_time_millis_testing: 22.091, usercpu_time_millis_training: 3772.491,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9891, f_measure: 0.9541, kappa: 0.8874, kb_relative_information_score: 28182.4544, mean_absolute_error: 0.0771, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9541, predictive_accuracy: 0.9541, prior_entropy: 0.863, recall: 0.9541, relative_absolute_error: 0.189, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1872, root_relative_squared_error: 0.4144, scimark_benchmark: 1830.6753, usercpu_time_millis: 3208.212, usercpu_time_millis_testing: 8.703, usercpu_time_millis_training: 3199.509,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.974, f_measure: 0.9152, kappa: 0.7867, kb_relative_information_score: 24369.7832, mean_absolute_error: 0.1227, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9206, predictive_accuracy: 0.9183, prior_entropy: 0.863, recall: 0.9183, relative_absolute_error: 0.3007, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2379, root_relative_squared_error: 0.5266, scimark_benchmark: 1828.1532, usercpu_time_millis: 3502.445, usercpu_time_millis_testing: 12.21, usercpu_time_millis_training: 3490.235,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5954, kb_relative_information_score: -0.2478, 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: 1728.4247, usercpu_time_millis: 56.354, usercpu_time_millis_testing: 8.337, usercpu_time_millis_training: 48.017,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9873, f_measure: 0.9486, kappa: 0.8738, kb_relative_information_score: 26900.0604, mean_absolute_error: 0.0941, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9485, predictive_accuracy: 0.9487, prior_entropy: 0.863, recall: 0.9487, relative_absolute_error: 0.2305, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1998, root_relative_squared_error: 0.4424, scimark_benchmark: 1842.0729, usercpu_time_millis: 1773.198, usercpu_time_millis_testing: 16.105, usercpu_time_millis_training: 1757.093,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9795, f_measure: 0.9299, kappa: 0.8253, kb_relative_information_score: 25063.0103, mean_absolute_error: 0.1145, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9315, predictive_accuracy: 0.9314, prior_entropy: 0.863, recall: 0.9314, relative_absolute_error: 0.2805, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2268, root_relative_squared_error: 0.5022, scimark_benchmark: 2132.217, usercpu_time_millis: 1684.091, usercpu_time_millis_testing: 8.296, usercpu_time_millis_training: 1675.795,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9936, f_measure: 0.9684, kappa: 0.9225, kb_relative_information_score: 29768.304, mean_absolute_error: 0.059, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9684, predictive_accuracy: 0.9684, prior_entropy: 0.863, recall: 0.9684, relative_absolute_error: 0.1446, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.159, root_relative_squared_error: 0.3519, scimark_benchmark: 1835.7111, usercpu_time_millis: 1462.945, usercpu_time_millis_testing: 5.317, usercpu_time_millis_training: 1457.628,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9754, f_measure: 0.9163, kappa: 0.7893, kb_relative_information_score: 24384.8108, mean_absolute_error: 0.1232, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9214, predictive_accuracy: 0.9192, prior_entropy: 0.863, recall: 0.9192, relative_absolute_error: 0.302, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2358, root_relative_squared_error: 0.5219, scimark_benchmark: 2117.7154, usercpu_time_millis: 1228.12, usercpu_time_millis_testing: 4.557, usercpu_time_millis_training: 1223.563,
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: 0.9867, f_measure: 0.9451, kappa: 0.8647, kb_relative_information_score: 26517.1299, mean_absolute_error: 0.0992, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.945, predictive_accuracy: 0.9454, prior_entropy: 0.863, recall: 0.9454, relative_absolute_error: 0.243, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2035, root_relative_squared_error: 0.4506, scimark_benchmark: 1743.6599, usercpu_time_millis: 560.024, usercpu_time_millis_testing: 8.936, usercpu_time_millis_training: 551.088,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9539, f_measure: 0.8698, kappa: 0.6807, kb_relative_information_score: 15410.623, mean_absolute_error: 0.2367, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.8697, predictive_accuracy: 0.87, prior_entropy: 0.863, recall: 0.87, relative_absolute_error: 0.58, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.3095, root_relative_squared_error: 0.6851, scimark_benchmark: 1844.7928, usercpu_time_millis: 52.538, usercpu_time_millis_testing: 1.829, usercpu_time_millis_training: 50.709,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9246, f_measure: 0.8643, kappa: 0.6714, kb_relative_information_score: 17434.3823, mean_absolute_error: 0.2046, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.8667, predictive_accuracy: 0.8628, prior_entropy: 0.863, recall: 0.8628, relative_absolute_error: 0.5014, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.3104, root_relative_squared_error: 0.6871, scimark_benchmark: 1829.609, usercpu_time_millis: 338.352, usercpu_time_millis_testing: 2.617, usercpu_time_millis_training: 335.735,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9906, f_measure: 0.9583, kappa: 0.8978, kb_relative_information_score: 28410.8756, mean_absolute_error: 0.0753, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9583, predictive_accuracy: 0.9584, prior_entropy: 0.863, recall: 0.9584, relative_absolute_error: 0.1844, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1806, root_relative_squared_error: 0.3998, scimark_benchmark: 1836.7415, usercpu_time_millis: 1878.198, usercpu_time_millis_testing: 6.953, usercpu_time_millis_training: 1871.245,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9918, f_measure: 0.9651, kappa: 0.9145, kb_relative_information_score: 30182.9803, mean_absolute_error: 0.0516, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9651, predictive_accuracy: 0.9652, prior_entropy: 0.863, recall: 0.9652, relative_absolute_error: 0.1264, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1633, root_relative_squared_error: 0.3616, scimark_benchmark: 1837.2609, usercpu_time_millis: 1293.091, usercpu_time_millis_testing: 2.885, usercpu_time_millis_training: 1290.206,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9923, f_measure: 0.963, kappa: 0.9091, kb_relative_information_score: 29112.8193, mean_absolute_error: 0.067, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9629, predictive_accuracy: 0.963, prior_entropy: 0.863, recall: 0.963, relative_absolute_error: 0.1643, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1695, root_relative_squared_error: 0.3753, scimark_benchmark: 1725.0658, usercpu_time_millis: 1109.891, usercpu_time_millis_testing: 4.933, usercpu_time_millis_training: 1104.958,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9783, f_measure: 0.9283, kappa: 0.8211, kb_relative_information_score: 25025.1579, mean_absolute_error: 0.1136, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9299, predictive_accuracy: 0.9298, prior_entropy: 0.863, recall: 0.9298, relative_absolute_error: 0.2785, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2289, root_relative_squared_error: 0.5068, scimark_benchmark: 1829.1182, usercpu_time_millis: 695.079, usercpu_time_millis_testing: 2.277, usercpu_time_millis_training: 692.802,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9913, f_measure: 0.9608, kappa: 0.9039, kb_relative_information_score: 28892.2331, mean_absolute_error: 0.0694, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9608, predictive_accuracy: 0.9609, prior_entropy: 0.863, recall: 0.9609, relative_absolute_error: 0.17, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1744, root_relative_squared_error: 0.386, scimark_benchmark: 1841.2265, usercpu_time_millis: 832.9, usercpu_time_millis_testing: 2.203, usercpu_time_millis_training: 830.697,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5954, kb_relative_information_score: -0.3104, 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: 1724.016, usercpu_time_millis: 101.926, usercpu_time_millis_testing: 8.054, usercpu_time_millis_training: 93.872,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9847, f_measure: 0.9253, kappa: 0.8124, kb_relative_information_score: 18893.2694, mean_absolute_error: 0.2082, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9302, predictive_accuracy: 0.9278, prior_entropy: 0.863, recall: 0.9278, relative_absolute_error: 0.5103, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.266, root_relative_squared_error: 0.5888, scimark_benchmark: 1719.9869, usercpu_time_millis: 47.944, usercpu_time_millis_testing: 2.306, usercpu_time_millis_training: 45.638,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9869, f_measure: 0.9444, kappa: 0.8628, kb_relative_information_score: 26093.4089, mean_absolute_error: 0.1061, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9445, predictive_accuracy: 0.9449, prior_entropy: 0.863, recall: 0.9449, relative_absolute_error: 0.2599, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2054, root_relative_squared_error: 0.4548, scimark_benchmark: 1736.1564, usercpu_time_millis: 45.741, usercpu_time_millis_testing: 1.581, usercpu_time_millis_training: 44.16,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5954, kb_relative_information_score: -7.4837, 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: 1829.6089, usercpu_time_millis: 46.4, usercpu_time_millis_testing: 2.733, usercpu_time_millis_training: 43.667,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.977, f_measure: 0.9168, kappa: 0.7911, kb_relative_information_score: 22474.9183, mean_absolute_error: 0.1534, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9212, predictive_accuracy: 0.9196, prior_entropy: 0.863, recall: 0.9196, relative_absolute_error: 0.376, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2431, root_relative_squared_error: 0.5383, scimark_benchmark: 1746.0913, usercpu_time_millis: 589.658, usercpu_time_millis_testing: 11.224, usercpu_time_millis_training: 578.434,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9905, f_measure: 0.9593, kappa: 0.9001, kb_relative_information_score: 28414.0921, mean_absolute_error: 0.0759, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9593, predictive_accuracy: 0.9595, prior_entropy: 0.863, recall: 0.9595, relative_absolute_error: 0.1861, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1793, root_relative_squared_error: 0.3969, scimark_benchmark: 1737.0967, usercpu_time_millis: 604.1, usercpu_time_millis_testing: 3.96, usercpu_time_millis_training: 600.14,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9786, f_measure: 0.9229, kappa: 0.8069, kb_relative_information_score: 24786.9909, mean_absolute_error: 0.1179, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9259, predictive_accuracy: 0.925, prior_entropy: 0.863, recall: 0.925, relative_absolute_error: 0.2888, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2305, root_relative_squared_error: 0.5103, scimark_benchmark: 1681.2027, usercpu_time_millis: 556.894, usercpu_time_millis_testing: 1.851, usercpu_time_millis_training: 555.043,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9447, f_measure: 0.8682, kappa: 0.6785, kb_relative_information_score: 17327.5738, mean_absolute_error: 0.2089, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.8689, predictive_accuracy: 0.8676, prior_entropy: 0.863, recall: 0.8676, relative_absolute_error: 0.5118, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.3062, root_relative_squared_error: 0.6778, scimark_benchmark: 1731.2871, usercpu_time_millis: 71.037, usercpu_time_millis_testing: 1.199, usercpu_time_millis_training: 69.838,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9873, f_measure: 0.9495, kappa: 0.8761, kb_relative_information_score: 27318.9873, mean_absolute_error: 0.0885, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9495, predictive_accuracy: 0.9495, prior_entropy: 0.863, recall: 0.9495, relative_absolute_error: 0.2167, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1971, root_relative_squared_error: 0.4364, scimark_benchmark: 1767.1041, usercpu_time_millis: 1585.188, usercpu_time_millis_testing: 7.369, usercpu_time_millis_training: 1577.819,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9793, f_measure: 0.9238, kappa: 0.8092, kb_relative_information_score: 24710.5537, mean_absolute_error: 0.1196, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9268, predictive_accuracy: 0.9259, prior_entropy: 0.863, recall: 0.9259, relative_absolute_error: 0.2931, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.23, root_relative_squared_error: 0.5093, scimark_benchmark: 1713.7766, usercpu_time_millis: 1425.911, usercpu_time_millis_testing: 8.145, usercpu_time_millis_training: 1417.766,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9758, f_measure: 0.9163, kappa: 0.7893, kb_relative_information_score: 24454.7009, mean_absolute_error: 0.1221, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9214, predictive_accuracy: 0.9192, prior_entropy: 0.863, recall: 0.9192, relative_absolute_error: 0.2992, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2357, root_relative_squared_error: 0.5217, scimark_benchmark: 1719.5317, usercpu_time_millis: 1269.513, usercpu_time_millis_testing: 11.523, usercpu_time_millis_training: 1257.99,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9783, f_measure: 0.9171, kappa: 0.7916, kb_relative_information_score: 24366.9753, mean_absolute_error: 0.125, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.922, predictive_accuracy: 0.92, prior_entropy: 0.863, recall: 0.92, relative_absolute_error: 0.3064, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.233, root_relative_squared_error: 0.5159, scimark_benchmark: 1719.6425, usercpu_time_millis: 1196.006, usercpu_time_millis_testing: 7.578, usercpu_time_millis_training: 1188.428,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9814, f_measure: 0.9313, kappa: 0.829, kb_relative_information_score: 24878.0218, mean_absolute_error: 0.1193, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9323, predictive_accuracy: 0.9325, prior_entropy: 0.863, recall: 0.9325, relative_absolute_error: 0.2924, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2248, root_relative_squared_error: 0.4977, scimark_benchmark: 1733.3606, usercpu_time_millis: 1133.27, usercpu_time_millis_testing: 11.12, usercpu_time_millis_training: 1122.15,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9691, f_measure: 0.9087, kappa: 0.7736, kb_relative_information_score: 22901.5272, mean_absolute_error: 0.1426, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9087, predictive_accuracy: 0.9099, prior_entropy: 0.863, recall: 0.9099, relative_absolute_error: 0.3494, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.25, root_relative_squared_error: 0.5535, scimark_benchmark: 1769.1138, usercpu_time_millis: 1102.169, usercpu_time_millis_testing: 6.251, usercpu_time_millis_training: 1095.918,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9928, f_measure: 0.9622, kappa: 0.9071, kb_relative_information_score: 28546.9036, mean_absolute_error: 0.0754, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9621, predictive_accuracy: 0.9623, prior_entropy: 0.863, recall: 0.9623, relative_absolute_error: 0.1847, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1721, root_relative_squared_error: 0.381, scimark_benchmark: 1722.0865, usercpu_time_millis: 383.264, usercpu_time_millis_testing: 10.511, usercpu_time_millis_training: 372.753,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9804, f_measure: 0.9313, kappa: 0.829, kb_relative_information_score: 25146.8721, mean_absolute_error: 0.1143, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9324, predictive_accuracy: 0.9325, prior_entropy: 0.863, recall: 0.9325, relative_absolute_error: 0.2801, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.225, root_relative_squared_error: 0.4981, scimark_benchmark: 1728.0111, usercpu_time_millis: 382.513, usercpu_time_millis_testing: 1.823, usercpu_time_millis_training: 380.69,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9853, f_measure: 0.9377, kappa: 0.8454, kb_relative_information_score: 23160.3544, mean_absolute_error: 0.1477, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9384, predictive_accuracy: 0.9387, prior_entropy: 0.863, recall: 0.9387, relative_absolute_error: 0.3618, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2289, root_relative_squared_error: 0.5067, scimark_benchmark: 1720.9479, usercpu_time_millis: 270.46, usercpu_time_millis_testing: 9.812, usercpu_time_millis_training: 260.648,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9458, f_measure: 0.8684, kappa: 0.6787, kb_relative_information_score: 17235.3942, mean_absolute_error: 0.2109, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.869, predictive_accuracy: 0.8679, prior_entropy: 0.863, recall: 0.8679, relative_absolute_error: 0.5167, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.3052, root_relative_squared_error: 0.6756, scimark_benchmark: 1724.4964, usercpu_time_millis: 154.482, usercpu_time_millis_testing: 5.926, usercpu_time_millis_training: 148.556,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9939, f_measure: 0.9651, kappa: 0.9143, kb_relative_information_score: 28900.6298, mean_absolute_error: 0.0713, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9651, predictive_accuracy: 0.9652, prior_entropy: 0.863, recall: 0.9652, relative_absolute_error: 0.1747, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1657, root_relative_squared_error: 0.3669, scimark_benchmark: 1713.3568, usercpu_time_millis: 108.882, usercpu_time_millis_testing: 3.917, usercpu_time_millis_training: 104.965,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9908, f_measure: 0.9597, kappa: 0.9011, kb_relative_information_score: 28588.8842, mean_absolute_error: 0.0731, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9597, predictive_accuracy: 0.9597, prior_entropy: 0.863, recall: 0.9597, relative_absolute_error: 0.1792, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1774, root_relative_squared_error: 0.3927, scimark_benchmark: 1721.2827, usercpu_time_millis: 42.564, usercpu_time_millis_testing: 0.51, usercpu_time_millis_training: 42.054,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9618, f_measure: 0.8861, kappa: 0.7199, kb_relative_information_score: 19193.4095, mean_absolute_error: 0.1883, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.8858, predictive_accuracy: 0.8865, prior_entropy: 0.863, recall: 0.8865, relative_absolute_error: 0.4613, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2777, root_relative_squared_error: 0.6149, scimark_benchmark: 1725.3999, usercpu_time_millis: 31.585, usercpu_time_millis_testing: 0.971, usercpu_time_millis_training: 30.614,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.991, f_measure: 0.9552, kappa: 0.8891, kb_relative_information_score: 25376.2367, mean_absolute_error: 0.1207, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9556, predictive_accuracy: 0.9556, prior_entropy: 0.863, recall: 0.9556, relative_absolute_error: 0.2958, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2005, root_relative_squared_error: 0.4439, scimark_benchmark: 1724.0704, usercpu_time_millis: 18.437, usercpu_time_millis_testing: 0.77, usercpu_time_millis_training: 17.667,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5954, kb_relative_information_score: -11.7386, 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: 1.0001, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.4517, root_relative_squared_error: 1, scimark_benchmark: 1726.6494, usercpu_time_millis: 22.978, usercpu_time_millis_testing: 1.704, usercpu_time_millis_training: 21.274,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9808, f_measure: 0.9333, kappa: 0.8348, kb_relative_information_score: 25744.8498, mean_absolute_error: 0.1052, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9335, predictive_accuracy: 0.9341, prior_entropy: 0.863, recall: 0.9341, relative_absolute_error: 0.2578, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2209, root_relative_squared_error: 0.489, scimark_benchmark: 1726.5472, usercpu_time_millis: 4949.56, usercpu_time_millis_testing: 12.006, usercpu_time_millis_training: 4937.554,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9779, f_measure: 0.9278, kappa: 0.8206, kb_relative_information_score: 25132.8885, mean_absolute_error: 0.1111, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9284, predictive_accuracy: 0.9289, prior_entropy: 0.863, recall: 0.9289, relative_absolute_error: 0.2723, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2293, root_relative_squared_error: 0.5076, scimark_benchmark: 1725.8551, usercpu_time_millis: 3926.308, usercpu_time_millis_testing: 10.173, usercpu_time_millis_training: 3916.135,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9771, f_measure: 0.9168, kappa: 0.7907, kb_relative_information_score: 24167.1271, mean_absolute_error: 0.1277, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9221, predictive_accuracy: 0.9198, prior_entropy: 0.863, recall: 0.9198, relative_absolute_error: 0.3129, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2356, root_relative_squared_error: 0.5216, scimark_benchmark: 1729.7915, usercpu_time_millis: 1146.814, usercpu_time_millis_testing: 7.094, usercpu_time_millis_training: 1139.72,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9923, f_measure: 0.9643, kappa: 0.9123, kb_relative_information_score: 29205.1213, mean_absolute_error: 0.066, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9643, predictive_accuracy: 0.9644, prior_entropy: 0.863, recall: 0.9644, relative_absolute_error: 0.1618, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1678, root_relative_squared_error: 0.3716, scimark_benchmark: 1725.293, usercpu_time_millis: 1007.816, usercpu_time_millis_testing: 4.482, usercpu_time_millis_training: 1003.334,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9867, f_measure: 0.9452, kappa: 0.865, kb_relative_information_score: 26489.1909, mean_absolute_error: 0.0995, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9451, predictive_accuracy: 0.9455, prior_entropy: 0.863, recall: 0.9455, relative_absolute_error: 0.2438, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2036, root_relative_squared_error: 0.4506, scimark_benchmark: 1902.6473, usercpu_time_millis: 819.748, usercpu_time_millis_testing: 11.928, usercpu_time_millis_training: 807.82,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9918, f_measure: 0.9617, kappa: 0.9058, kb_relative_information_score: 28755.535, mean_absolute_error: 0.072, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9616, predictive_accuracy: 0.9618, prior_entropy: 0.863, recall: 0.9618, relative_absolute_error: 0.1764, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1732, root_relative_squared_error: 0.3834, scimark_benchmark: 1830.4619, usercpu_time_millis: 370.244, usercpu_time_millis_testing: 3.634, usercpu_time_millis_training: 366.61,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9879, f_measure: 0.9487, kappa: 0.8737, kb_relative_information_score: 26549.4915, mean_absolute_error: 0.0999, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9487, predictive_accuracy: 0.949, prior_entropy: 0.863, recall: 0.949, relative_absolute_error: 0.2448, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2002, root_relative_squared_error: 0.4433, scimark_benchmark: 1722.5417, usercpu_time_millis: 246.658, usercpu_time_millis_testing: 4.047, usercpu_time_millis_training: 242.611,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8578, f_measure: 0.8579, kappa: 0.6536, kb_relative_information_score: 15577.3581, mean_absolute_error: 0.2343, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.8588, predictive_accuracy: 0.8572, prior_entropy: 0.863, recall: 0.8572, relative_absolute_error: 0.5742, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.3341, root_relative_squared_error: 0.7397, scimark_benchmark: 1718.2809, usercpu_time_millis: 118.084, usercpu_time_millis_testing: 2.91, usercpu_time_millis_training: 115.174,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.957, f_measure: 0.848, kappa: 0.611, kb_relative_information_score: 12038.7925, mean_absolute_error: 0.2867, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.8682, predictive_accuracy: 0.86, prior_entropy: 0.863, recall: 0.86, relative_absolute_error: 0.7026, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.3351, root_relative_squared_error: 0.7417, scimark_benchmark: 1733.9326, usercpu_time_millis: 53.02, usercpu_time_millis_testing: 4.065, usercpu_time_millis_training: 48.955,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5954, kb_relative_information_score: -3.8665, 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: 1907.7733, usercpu_time_millis: 20.259, usercpu_time_millis_testing: 1.517, usercpu_time_millis_training: 18.742,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9915, f_measure: 0.9591, kappa: 0.8996, kb_relative_information_score: 28318.8239, mean_absolute_error: 0.077, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.959, predictive_accuracy: 0.9591, prior_entropy: 0.863, recall: 0.9591, relative_absolute_error: 0.1888, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1785, root_relative_squared_error: 0.3952, scimark_benchmark: 1722.2536, usercpu_time_millis: 2068.461, usercpu_time_millis_testing: 27.767, usercpu_time_millis_training: 2040.694,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9751, f_measure: 0.9161, kappa: 0.789, kb_relative_information_score: 23946.4206, mean_absolute_error: 0.13, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9206, predictive_accuracy: 0.9189, prior_entropy: 0.863, recall: 0.9189, relative_absolute_error: 0.3185, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2377, root_relative_squared_error: 0.5262, scimark_benchmark: 1733.1264, usercpu_time_millis: 1491.837, usercpu_time_millis_testing: 11.71, usercpu_time_millis_training: 1480.127,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9815, f_measure: 0.9344, kappa: 0.8371, kb_relative_information_score: 25350.0373, mean_absolute_error: 0.1122, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9349, predictive_accuracy: 0.9353, prior_entropy: 0.863, recall: 0.9353, relative_absolute_error: 0.2748, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2222, root_relative_squared_error: 0.4919, scimark_benchmark: 1939.0631, usercpu_time_millis: 1262.868, usercpu_time_millis_testing: 12.424, usercpu_time_millis_training: 1250.444,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9865, f_measure: 0.9431, kappa: 0.8593, kb_relative_information_score: 25864.8152, mean_absolute_error: 0.1087, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9432, predictive_accuracy: 0.9436, prior_entropy: 0.863, recall: 0.9436, relative_absolute_error: 0.2663, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2081, root_relative_squared_error: 0.4606, scimark_benchmark: 1725.3999, usercpu_time_millis: 985.368, usercpu_time_millis_testing: 22.126, usercpu_time_millis_training: 963.242,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9245, f_measure: 0.8645, kappa: 0.6722, kb_relative_information_score: 17399.5595, mean_absolute_error: 0.2052, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.867, predictive_accuracy: 0.863, prior_entropy: 0.863, recall: 0.863, relative_absolute_error: 0.5027, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.3103, root_relative_squared_error: 0.687, scimark_benchmark: 1732.8983, usercpu_time_millis: 884.989, usercpu_time_millis_testing: 6.919, usercpu_time_millis_training: 878.07,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9777, f_measure: 0.9179, kappa: 0.7936, kb_relative_information_score: 24383.0157, mean_absolute_error: 0.1245, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9226, predictive_accuracy: 0.9206, prior_entropy: 0.863, recall: 0.9206, relative_absolute_error: 0.305, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2336, root_relative_squared_error: 0.517, scimark_benchmark: 1720.4927, usercpu_time_millis: 649.616, usercpu_time_millis_testing: 4.666, usercpu_time_millis_training: 644.95,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9793, f_measure: 0.9191, kappa: 0.7969, kb_relative_information_score: 22755.9759, mean_absolute_error: 0.1507, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9233, predictive_accuracy: 0.9217, prior_entropy: 0.863, recall: 0.9217, relative_absolute_error: 0.3692, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2396, root_relative_squared_error: 0.5305, scimark_benchmark: 1725.3999, usercpu_time_millis: 574.638, usercpu_time_millis_testing: 12.702, usercpu_time_millis_training: 561.936,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9907, f_measure: 0.9581, kappa: 0.897, kb_relative_information_score: 28065.8395, mean_absolute_error: 0.0805, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.958, predictive_accuracy: 0.9582, prior_entropy: 0.863, recall: 0.9582, relative_absolute_error: 0.1974, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1819, root_relative_squared_error: 0.4028, scimark_benchmark: 1721.0114, usercpu_time_millis: 555.251, usercpu_time_millis_testing: 16.19, usercpu_time_millis_training: 539.061,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9938, f_measure: 0.9651, kappa: 0.9142, kb_relative_information_score: 29021.1577, mean_absolute_error: 0.0694, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.965, predictive_accuracy: 0.9652, prior_entropy: 0.863, recall: 0.9652, relative_absolute_error: 0.1701, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1652, root_relative_squared_error: 0.3658, scimark_benchmark: 1732.0988, usercpu_time_millis: 301.085, usercpu_time_millis_testing: 7.288, usercpu_time_millis_training: 293.797,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9906, f_measure: 0.9594, kappa: 0.9003, kb_relative_information_score: 28537.5844, mean_absolute_error: 0.0741, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9594, predictive_accuracy: 0.9596, prior_entropy: 0.863, recall: 0.9596, relative_absolute_error: 0.1816, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1783, root_relative_squared_error: 0.3947, scimark_benchmark: 1718.2809, usercpu_time_millis: 169.96, usercpu_time_millis_testing: 1.339, usercpu_time_millis_training: 168.621,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9908, f_measure: 0.9576, kappa: 0.896, kb_relative_information_score: 28286.2725, mean_absolute_error: 0.0768, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9576, predictive_accuracy: 0.9576, prior_entropy: 0.863, recall: 0.9576, relative_absolute_error: 0.1882, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1811, root_relative_squared_error: 0.4009, scimark_benchmark: 1955.4727, usercpu_time_millis: 120.147, usercpu_time_millis_testing: 0.9, usercpu_time_millis_training: 119.247,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9619, f_measure: 0.8965, kappa: 0.742, kb_relative_information_score: 14695.2155, mean_absolute_error: 0.2474, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.8972, predictive_accuracy: 0.8986, prior_entropy: 0.863, recall: 0.8986, relative_absolute_error: 0.6063, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.3107, root_relative_squared_error: 0.6878, scimark_benchmark: 1722.2536, usercpu_time_millis: 14.661, usercpu_time_millis_testing: 0.481, usercpu_time_millis_training: 14.18,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9917, f_measure: 0.9616, kappa: 0.9058, kb_relative_information_score: 28889.4673, mean_absolute_error: 0.0696, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9616, predictive_accuracy: 0.9616, prior_entropy: 0.863, recall: 0.9616, relative_absolute_error: 0.1706, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1734, root_relative_squared_error: 0.3839, scimark_benchmark: 1740.7571, usercpu_time_millis: 2933.877, usercpu_time_millis_testing: 13.172, usercpu_time_millis_training: 2920.705,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.982, f_measure: 0.936, kappa: 0.8413, kb_relative_information_score: 25474.2289, mean_absolute_error: 0.1108, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9363, predictive_accuracy: 0.9367, prior_entropy: 0.863, recall: 0.9367, relative_absolute_error: 0.2714, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2204, root_relative_squared_error: 0.488, scimark_benchmark: 1717.8303, usercpu_time_millis: 2438.448, usercpu_time_millis_testing: 15.213, usercpu_time_millis_training: 2423.235,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9887, f_measure: 0.9521, kappa: 0.8826, kb_relative_information_score: 27968.4742, mean_absolute_error: 0.0799, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9521, predictive_accuracy: 0.9521, prior_entropy: 0.863, recall: 0.9521, relative_absolute_error: 0.1959, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1896, root_relative_squared_error: 0.4197, scimark_benchmark: 1707.7621, usercpu_time_millis: 2290.131, usercpu_time_millis_testing: 4.946, usercpu_time_millis_training: 2285.185,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9913, f_measure: 0.9596, kappa: 0.9009, kb_relative_information_score: 28595.3432, mean_absolute_error: 0.0731, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9595, predictive_accuracy: 0.9596, prior_entropy: 0.863, recall: 0.9596, relative_absolute_error: 0.1791, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1771, root_relative_squared_error: 0.3921, scimark_benchmark: 1750.6427, usercpu_time_millis: 1969.699, usercpu_time_millis_testing: 10.709, usercpu_time_millis_training: 1958.99,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9873, f_measure: 0.95, kappa: 0.8772, kb_relative_information_score: 27305.5827, mean_absolute_error: 0.089, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9499, predictive_accuracy: 0.9501, prior_entropy: 0.863, recall: 0.9501, relative_absolute_error: 0.2181, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1966, root_relative_squared_error: 0.4353, scimark_benchmark: 1789.1747, usercpu_time_millis: 1838.12, usercpu_time_millis_testing: 12.578, usercpu_time_millis_training: 1825.542,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9674, f_measure: 0.9042, kappa: 0.7632, kb_relative_information_score: 22201.0291, mean_absolute_error: 0.1518, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.904, predictive_accuracy: 0.9052, prior_entropy: 0.863, recall: 0.9052, relative_absolute_error: 0.372, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2598, root_relative_squared_error: 0.5751, scimark_benchmark: 1775.6086, usercpu_time_millis: 920.402, usercpu_time_millis_testing: 4.021, usercpu_time_millis_training: 916.381,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9428, f_measure: 0.868, kappa: 0.6786, kb_relative_information_score: 17375.6124, mean_absolute_error: 0.207, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.8691, predictive_accuracy: 0.8673, prior_entropy: 0.863, recall: 0.8673, relative_absolute_error: 0.5073, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.3078, root_relative_squared_error: 0.6813, scimark_benchmark: 1721.7423, usercpu_time_millis: 1033.765, usercpu_time_millis_testing: 10.65, usercpu_time_millis_training: 1023.115,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9923, f_measure: 0.9635, kappa: 0.9105, kb_relative_information_score: 29234.6714, mean_absolute_error: 0.0653, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9635, predictive_accuracy: 0.9636, prior_entropy: 0.863, recall: 0.9636, relative_absolute_error: 0.1601, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1684, root_relative_squared_error: 0.3728, scimark_benchmark: 1738.3274, usercpu_time_millis: 556.365, usercpu_time_millis_testing: 1.793, usercpu_time_millis_training: 554.572,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9928, f_measure: 0.9624, kappa: 0.9077, kb_relative_information_score: 28586.02, mean_absolute_error: 0.0749, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9624, predictive_accuracy: 0.9625, prior_entropy: 0.863, recall: 0.9625, relative_absolute_error: 0.1834, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1718, root_relative_squared_error: 0.3802, scimark_benchmark: 1720.5045, usercpu_time_millis: 582.091, usercpu_time_millis_testing: 16.572, usercpu_time_millis_training: 565.519,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9922, f_measure: 0.9625, kappa: 0.9078, kb_relative_information_score: 28906.9064, mean_absolute_error: 0.0701, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9624, predictive_accuracy: 0.9626, prior_entropy: 0.863, recall: 0.9626, relative_absolute_error: 0.1718, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1708, root_relative_squared_error: 0.378, scimark_benchmark: 1736.5552, usercpu_time_millis: 401.42, usercpu_time_millis_testing: 3.753, usercpu_time_millis_training: 397.667,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9813, f_measure: 0.9309, kappa: 0.8281, kb_relative_information_score: 24895.0333, mean_absolute_error: 0.119, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.932, predictive_accuracy: 0.9322, prior_entropy: 0.863, recall: 0.9322, relative_absolute_error: 0.2916, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.225, root_relative_squared_error: 0.4981, scimark_benchmark: 1798.2896, usercpu_time_millis: 443.416, usercpu_time_millis_testing: 5.049, usercpu_time_millis_training: 438.367,

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