OpenML
Supervised Classification on JapaneseVowels

Supervised Classification on JapaneseVowels

Task 3839 Supervised Classification JapaneseVowels 562 runs submitted
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  • study_1 study_107 study_41 study_7 under100k under1m
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9529, f_measure: 0.9784, kappa: 0.9197, kb_relative_information_score: 8994.3889, mean_absolute_error: 0.0215, mean_prior_absolute_error: 0.2716, number_of_instances: 9961, precision: 0.9783, predictive_accuracy: 0.9785, prior_entropy: 0.6393, recall: 0.9785, relative_absolute_error: 0.0791, root_mean_prior_squared_error: 0.3685, root_mean_squared_error: 0.1466, root_relative_squared_error: 0.3978,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9529, f_measure: 0.9784, kappa: 0.9197, kb_relative_information_score: 8994.3889, mean_absolute_error: 0.0215, mean_prior_absolute_error: 0.2716, number_of_instances: 9961, precision: 0.9783, predictive_accuracy: 0.9785, prior_entropy: 0.6393, recall: 0.9785, relative_absolute_error: 0.0791, root_mean_prior_squared_error: 0.3685, root_mean_squared_error: 0.1466, root_relative_squared_error: 0.3978,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9872, f_measure: 0.9506, kappa: 0.8175, kb_relative_information_score: 7374.0591, mean_absolute_error: 0.0616, mean_prior_absolute_error: 0.2716, number_of_instances: 9961, precision: 0.9505, predictive_accuracy: 0.9507, prior_entropy: 0.6393, recall: 0.9507, relative_absolute_error: 0.2269, root_mean_prior_squared_error: 0.3685, root_mean_squared_error: 0.1854, root_relative_squared_error: 0.503, scimark_benchmark: 1732.2066, usercpu_time_millis: 249.6016, usercpu_time_millis_testing: 31.2002, usercpu_time_millis_training: 218.4014,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9916, f_measure: 0.9616, kappa: 0.8581, kb_relative_information_score: 7840.4163, mean_absolute_error: 0.0501, mean_prior_absolute_error: 0.2716, number_of_instances: 9961, precision: 0.9615, predictive_accuracy: 0.9617, prior_entropy: 0.6393, recall: 0.9617, relative_absolute_error: 0.1845, root_mean_prior_squared_error: 0.3685, root_mean_squared_error: 0.165, root_relative_squared_error: 0.4479, scimark_benchmark: 1732.2066, usercpu_time_millis: 124.8008, usercpu_time_millis_testing: 93.6006, usercpu_time_millis_training: 31.2002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9866, f_measure: 0.9934, kappa: 0.9755, kb_relative_information_score: 9661.1538, mean_absolute_error: 0.0066, mean_prior_absolute_error: 0.2716, number_of_instances: 9961, precision: 0.9934, predictive_accuracy: 0.9934, prior_entropy: 0.6393, recall: 0.9934, relative_absolute_error: 0.0244, root_mean_prior_squared_error: 0.3685, root_mean_squared_error: 0.0814, root_relative_squared_error: 0.2209,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9872, f_measure: 0.9506, kappa: 0.8175, kb_relative_information_score: 7374.0591, mean_absolute_error: 0.0616, mean_prior_absolute_error: 0.2716, number_of_instances: 9961, precision: 0.9505, predictive_accuracy: 0.9507, prior_entropy: 0.6393, recall: 0.9507, relative_absolute_error: 0.2269, root_mean_prior_squared_error: 0.3685, root_mean_squared_error: 0.1854, root_relative_squared_error: 0.503, scimark_benchmark: 1887.4343, usercpu_time_millis: 109.2007, usercpu_time_millis_testing: 31.2002, usercpu_time_millis_training: 78.0005,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9604, f_measure: 0.9673, kappa: 0.8803, kb_relative_information_score: 8334.1574, mean_absolute_error: 0.0388, mean_prior_absolute_error: 0.2716, number_of_instances: 9961, precision: 0.9675, predictive_accuracy: 0.9672, prior_entropy: 0.6393, recall: 0.9672, relative_absolute_error: 0.1429, root_mean_prior_squared_error: 0.3685, root_mean_squared_error: 0.1681, root_relative_squared_error: 0.4563, scimark_benchmark: 1806.5905, usercpu_time_millis: 156.001, usercpu_time_millis_training: 156.001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9579, f_measure: 0.9775, kappa: 0.9168, kb_relative_information_score: 8873.7021, mean_absolute_error: 0.0253, mean_prior_absolute_error: 0.2716, number_of_instances: 9961, precision: 0.9774, predictive_accuracy: 0.9775, prior_entropy: 0.6393, recall: 0.9775, relative_absolute_error: 0.0932, root_mean_prior_squared_error: 0.3685, root_mean_squared_error: 0.1466, root_relative_squared_error: 0.3977, scimark_benchmark: 1806.5905, usercpu_time_millis: 234.0015, usercpu_time_millis_training: 234.0015,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9971, f_measure: 0.9792, kappa: 0.9233, kb_relative_information_score: 8413.6092, mean_absolute_error: 0.0397, mean_prior_absolute_error: 0.2716, number_of_instances: 9961, precision: 0.9792, predictive_accuracy: 0.9792, prior_entropy: 0.6393, recall: 0.9792, relative_absolute_error: 0.1463, root_mean_prior_squared_error: 0.3685, root_mean_squared_error: 0.1264, root_relative_squared_error: 0.343, scimark_benchmark: 1806.5905, usercpu_time_millis: 1903.2122, usercpu_time_millis_testing: 265.2017, usercpu_time_millis_training: 1638.0105,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9993, f_measure: 0.989, kappa: 0.9593, kb_relative_information_score: 8860.9781, mean_absolute_error: 0.0324, mean_prior_absolute_error: 0.2716, number_of_instances: 9961, precision: 0.989, predictive_accuracy: 0.9891, prior_entropy: 0.6393, recall: 0.9891, relative_absolute_error: 0.1192, root_mean_prior_squared_error: 0.3685, root_mean_squared_error: 0.0981, root_relative_squared_error: 0.2662, scimark_benchmark: 1806.5905, usercpu_time_millis: 2324.4149, usercpu_time_millis_testing: 202.8013, usercpu_time_millis_training: 2121.6136,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9762, f_measure: 0.987, kappa: 0.952, kb_relative_information_score: 9370.371, mean_absolute_error: 0.0132, mean_prior_absolute_error: 0.2716, number_of_instances: 9961, precision: 0.987, predictive_accuracy: 0.9869, prior_entropy: 0.6393, recall: 0.9869, relative_absolute_error: 0.0485, root_mean_prior_squared_error: 0.3685, root_mean_squared_error: 0.1142, root_relative_squared_error: 0.31, scimark_benchmark: 1806.5905, usercpu_time_millis: 4664.4299, usercpu_time_millis_testing: 4539.6291, usercpu_time_millis_training: 124.8008,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9967, f_measure: 0.9982, kappa: 0.9933, kb_relative_information_score: 9874.8932, mean_absolute_error: 0.0019, mean_prior_absolute_error: 0.2716, number_of_instances: 9961, precision: 0.9982, predictive_accuracy: 0.9982, prior_entropy: 0.6393, recall: 0.9982, relative_absolute_error: 0.0071, root_mean_prior_squared_error: 0.3685, root_mean_squared_error: 0.0425, root_relative_squared_error: 0.1154, scimark_benchmark: 1806.5905, usercpu_time_millis: 7472.4479, usercpu_time_millis_testing: 7456.8478, usercpu_time_millis_training: 15.6001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9872, f_measure: 0.9506, kappa: 0.8175, kb_relative_information_score: 7374.0591, mean_absolute_error: 0.0616, mean_prior_absolute_error: 0.2716, number_of_instances: 9961, precision: 0.9505, predictive_accuracy: 0.9507, prior_entropy: 0.6393, recall: 0.9507, relative_absolute_error: 0.2269, root_mean_prior_squared_error: 0.3685, root_mean_squared_error: 0.1854, root_relative_squared_error: 0.503, scimark_benchmark: 1877.5305, usercpu_time_millis: 93.6006, usercpu_time_millis_testing: 31.2002, usercpu_time_millis_training: 62.4004,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9916, f_measure: 0.9616, kappa: 0.8581, kb_relative_information_score: 7840.4163, mean_absolute_error: 0.0501, mean_prior_absolute_error: 0.2716, number_of_instances: 9961, precision: 0.9615, predictive_accuracy: 0.9617, prior_entropy: 0.6393, recall: 0.9617, relative_absolute_error: 0.1845, root_mean_prior_squared_error: 0.3685, root_mean_squared_error: 0.165, root_relative_squared_error: 0.4479, scimark_benchmark: 1850.8887, usercpu_time_millis: 78.0005, usercpu_time_millis_testing: 46.8003, usercpu_time_millis_training: 31.2002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4991, f_measure: 0.7641, kb_relative_information_score: -2.42, mean_absolute_error: 0.2716, mean_prior_absolute_error: 0.2716, number_of_instances: 9961, precision: 0.7022, predictive_accuracy: 0.838, prior_entropy: 0.6393, recall: 0.838, relative_absolute_error: 1, root_mean_prior_squared_error: 0.3685, root_mean_squared_error: 0.3685, root_relative_squared_error: 1, scimark_benchmark: 1850.8887, usercpu_time_millis: 15.6001, usercpu_time_millis_testing: 15.6001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.649, f_measure: 0.8408, kappa: 0.3632, kb_relative_information_score: 3592.6926, mean_absolute_error: 0.1419, mean_prior_absolute_error: 0.2716, number_of_instances: 9961, precision: 0.8386, predictive_accuracy: 0.8581, prior_entropy: 0.6393, recall: 0.8581, relative_absolute_error: 0.5223, root_mean_prior_squared_error: 0.3685, root_mean_squared_error: 0.3766, root_relative_squared_error: 1.0221, usercpu_time_millis: 24.63, usercpu_time_millis_testing: 0.284, usercpu_time_millis_training: 24.346,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9818, f_measure: 0.9912, kappa: 0.9677, kb_relative_information_score: 9566.5452, mean_absolute_error: 0.0087, mean_prior_absolute_error: 0.2716, number_of_instances: 9961, precision: 0.9912, predictive_accuracy: 0.9913, prior_entropy: 0.6393, recall: 0.9913, relative_absolute_error: 0.0322, root_mean_prior_squared_error: 0.3685, root_mean_squared_error: 0.0935, root_relative_squared_error: 0.2536, usercpu_time_millis: 13.88, usercpu_time_millis_testing: 0.435, usercpu_time_millis_training: 13.445,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9333, f_measure: 0.9621, kappa: 0.8608, kb_relative_information_score: 8251.0362, mean_absolute_error: 0.038, mean_prior_absolute_error: 0.2716, number_of_instances: 9961, precision: 0.9622, predictive_accuracy: 0.962, prior_entropy: 0.6393, recall: 0.962, relative_absolute_error: 0.1401, root_mean_prior_squared_error: 0.3685, root_mean_squared_error: 0.1951, root_relative_squared_error: 0.5294, usercpu_time_millis: 2.108, usercpu_time_millis_testing: 0.168, usercpu_time_millis_training: 1.94,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8201, f_measure: 0.7381, kappa: 0.3658, kb_relative_information_score: -3570.5244, mean_absolute_error: 0.3015, mean_prior_absolute_error: 0.2716, number_of_instances: 9961, precision: 0.8946, predictive_accuracy: 0.6985, prior_entropy: 0.6393, recall: 0.6985, relative_absolute_error: 1.11, root_mean_prior_squared_error: 0.3685, root_mean_squared_error: 0.5491, root_relative_squared_error: 1.4901, usercpu_time_millis: 4.638, usercpu_time_millis_testing: 0.058, usercpu_time_millis_training: 4.58,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8875, f_measure: 0.9521, kappa: 0.8188, kb_relative_information_score: 7868.0969, mean_absolute_error: 0.0466, mean_prior_absolute_error: 0.2716, number_of_instances: 9961, precision: 0.9524, predictive_accuracy: 0.9534, prior_entropy: 0.6393, recall: 0.9534, relative_absolute_error: 0.1715, root_mean_prior_squared_error: 0.3685, root_mean_squared_error: 0.2158, root_relative_squared_error: 0.5857, usercpu_time_millis: 2.856, usercpu_time_millis_testing: 0.017, usercpu_time_millis_training: 2.839,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9215, f_measure: 0.9707, kappa: 0.8893, kb_relative_information_score: 8679.0271, mean_absolute_error: 0.0285, mean_prior_absolute_error: 0.2716, number_of_instances: 9961, precision: 0.9715, predictive_accuracy: 0.9715, prior_entropy: 0.6393, recall: 0.9715, relative_absolute_error: 0.105, root_mean_prior_squared_error: 0.3685, root_mean_squared_error: 0.1689, root_relative_squared_error: 0.4582, usercpu_time_millis: 52.813, usercpu_time_millis_testing: 0.796, usercpu_time_millis_training: 52.017,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.7641, kb_relative_information_score: 2687.1538, mean_absolute_error: 0.162, mean_prior_absolute_error: 0.2716, number_of_instances: 9961, precision: 0.7022, predictive_accuracy: 0.838, prior_entropy: 0.6393, recall: 0.838, relative_absolute_error: 0.5966, root_mean_prior_squared_error: 0.3685, root_mean_squared_error: 0.4025, root_relative_squared_error: 1.0924, usercpu_time_millis: 3.035, usercpu_time_millis_testing: 0.022, usercpu_time_millis_training: 3.013,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9002, f_measure: 0.9519, kappa: 0.8207, kb_relative_information_score: 7827.5504, mean_absolute_error: 0.0475, mean_prior_absolute_error: 0.2716, number_of_instances: 9961, precision: 0.9516, predictive_accuracy: 0.9525, prior_entropy: 0.6393, recall: 0.9525, relative_absolute_error: 0.1748, root_mean_prior_squared_error: 0.3685, root_mean_squared_error: 0.2179, root_relative_squared_error: 0.5914, usercpu_time_millis: 0.957, usercpu_time_millis_testing: 0.034, usercpu_time_millis_training: 0.923,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9673, f_measure: 0.987, kappa: 0.9518, kb_relative_information_score: 9381.8333, mean_absolute_error: 0.0129, mean_prior_absolute_error: 0.2716, number_of_instances: 9961, precision: 0.9871, predictive_accuracy: 0.9872, prior_entropy: 0.6393, recall: 0.9872, relative_absolute_error: 0.0473, root_mean_prior_squared_error: 0.3685, root_mean_squared_error: 0.1134, root_relative_squared_error: 0.3076, usercpu_time_millis: 757.43, usercpu_time_millis_testing: 45.267, usercpu_time_millis_training: 712.163,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7516, f_measure: 0.9032, kappa: 0.6131, kb_relative_information_score: 6088.5556, mean_absolute_error: 0.0862, mean_prior_absolute_error: 0.2716, number_of_instances: 9961, precision: 0.9143, predictive_accuracy: 0.9138, prior_entropy: 0.6393, recall: 0.9138, relative_absolute_error: 0.3175, root_mean_prior_squared_error: 0.3685, root_mean_squared_error: 0.2937, root_relative_squared_error: 0.797, usercpu_time_millis: 167.426, usercpu_time_millis_testing: 0.605, usercpu_time_millis_training: 166.821,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9672, f_measure: 0.9872, kappa: 0.9525, kb_relative_information_score: 9390.8437, mean_absolute_error: 0.0126, mean_prior_absolute_error: 0.2716, number_of_instances: 9961, precision: 0.9873, predictive_accuracy: 0.9874, prior_entropy: 0.6393, recall: 0.9874, relative_absolute_error: 0.0466, root_mean_prior_squared_error: 0.3685, root_mean_squared_error: 0.1125, root_relative_squared_error: 0.3052, usercpu_time_millis: 68.962, usercpu_time_millis_testing: 1.324, usercpu_time_millis_training: 67.638,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9728, f_measure: 0.9891, kappa: 0.9595, kb_relative_information_score: 9471.9367, mean_absolute_error: 0.0108, mean_prior_absolute_error: 0.2716, number_of_instances: 9961, precision: 0.9891, predictive_accuracy: 0.9892, prior_entropy: 0.6393, recall: 0.9892, relative_absolute_error: 0.0399, root_mean_prior_squared_error: 0.3685, root_mean_squared_error: 0.1041, root_relative_squared_error: 0.2826, usercpu_time_millis: 78.833, usercpu_time_millis_testing: 0.468, usercpu_time_millis_training: 78.365,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9685, f_measure: 0.9824, kappa: 0.9354, kb_relative_information_score: 9170.0905, mean_absolute_error: 0.0176, mean_prior_absolute_error: 0.2716, number_of_instances: 9961, precision: 0.9825, predictive_accuracy: 0.9824, prior_entropy: 0.6393, recall: 0.9824, relative_absolute_error: 0.0647, root_mean_prior_squared_error: 0.3685, root_mean_squared_error: 0.1325, root_relative_squared_error: 0.3597, usercpu_time_millis: 2.219, usercpu_time_millis_testing: 0.241, usercpu_time_millis_training: 1.978,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.926, f_measure: 0.9641, kappa: 0.8665, kb_relative_information_score: 8359.1602, mean_absolute_error: 0.0356, mean_prior_absolute_error: 0.2716, number_of_instances: 9961, precision: 0.9639, predictive_accuracy: 0.9644, prior_entropy: 0.6393, recall: 0.9644, relative_absolute_error: 0.1312, root_mean_prior_squared_error: 0.3685, root_mean_squared_error: 0.1888, root_relative_squared_error: 0.5123, usercpu_time_millis: 3.823, usercpu_time_millis_testing: 0.034, usercpu_time_millis_training: 3.789,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6491, f_measure: 0.859, kappa: 0.4155, kb_relative_information_score: 4845.1293, mean_absolute_error: 0.1139, mean_prior_absolute_error: 0.2716, number_of_instances: 9961, precision: 0.8989, predictive_accuracy: 0.8861, prior_entropy: 0.6393, recall: 0.8861, relative_absolute_error: 0.4195, root_mean_prior_squared_error: 0.3685, root_mean_squared_error: 0.3376, root_relative_squared_error: 0.9161, usercpu_time_millis: 2.704, usercpu_time_millis_testing: 0.076, usercpu_time_millis_training: 2.628,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.927, f_measure: 0.9645, kappa: 0.8681, kb_relative_information_score: 8377.1809, mean_absolute_error: 0.0352, mean_prior_absolute_error: 0.2716, number_of_instances: 9961, precision: 0.9643, predictive_accuracy: 0.9648, prior_entropy: 0.6393, recall: 0.9648, relative_absolute_error: 0.1297, root_mean_prior_squared_error: 0.3685, root_mean_squared_error: 0.1877, root_relative_squared_error: 0.5094, usercpu_time_millis: 40.39, usercpu_time_millis_testing: 0.051, usercpu_time_millis_training: 40.339,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9587, f_measure: 0.9757, kappa: 0.9108, kb_relative_information_score: 8863.739, mean_absolute_error: 0.0244, mean_prior_absolute_error: 0.2716, number_of_instances: 9961, precision: 0.9758, predictive_accuracy: 0.9756, prior_entropy: 0.6393, recall: 0.9756, relative_absolute_error: 0.0898, root_mean_prior_squared_error: 0.3685, root_mean_squared_error: 0.1562, root_relative_squared_error: 0.4239, usercpu_time_millis: 5.38, usercpu_time_millis_testing: 0.405, usercpu_time_millis_training: 4.975,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7286, f_measure: 0.894, kappa: 0.5726, kb_relative_information_score: 5800.2249, mean_absolute_error: 0.0927, mean_prior_absolute_error: 0.2716, number_of_instances: 9961, precision: 0.9092, predictive_accuracy: 0.9073, prior_entropy: 0.6393, recall: 0.9073, relative_absolute_error: 0.3412, root_mean_prior_squared_error: 0.3685, root_mean_squared_error: 0.3044, root_relative_squared_error: 0.8261, usercpu_time_millis: 7.344, usercpu_time_millis_testing: 0.033, usercpu_time_millis_training: 7.311,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7168, f_measure: 0.8589, kappa: 0.4636, kb_relative_information_score: 3844.982, mean_absolute_error: 0.1362, mean_prior_absolute_error: 0.2716, number_of_instances: 9961, precision: 0.8557, predictive_accuracy: 0.8638, prior_entropy: 0.6393, recall: 0.8638, relative_absolute_error: 0.5016, root_mean_prior_squared_error: 0.3685, root_mean_squared_error: 0.3691, root_relative_squared_error: 1.0017, usercpu_time_millis: 1.802, usercpu_time_millis_testing: 0.439, usercpu_time_millis_training: 1.363,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8346, f_measure: 0.9336, kappa: 0.7434, kb_relative_information_score: 7142.7649, mean_absolute_error: 0.0627, mean_prior_absolute_error: 0.2716, number_of_instances: 9961, precision: 0.9359, predictive_accuracy: 0.9373, prior_entropy: 0.6393, recall: 0.9373, relative_absolute_error: 0.231, root_mean_prior_squared_error: 0.3685, root_mean_squared_error: 0.2505, root_relative_squared_error: 0.6798, usercpu_time_millis: 477.106, usercpu_time_millis_testing: 0.263, usercpu_time_millis_training: 476.843,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5098, f_measure: 0.7715, kappa: 0.0321, kb_relative_information_score: 2781.7624, mean_absolute_error: 0.1599, mean_prior_absolute_error: 0.2716, number_of_instances: 9961, precision: 0.8216, predictive_accuracy: 0.8401, prior_entropy: 0.6393, recall: 0.8401, relative_absolute_error: 0.5888, root_mean_prior_squared_error: 0.3685, root_mean_squared_error: 0.3999, root_relative_squared_error: 1.0853, usercpu_time_millis: 2.237, usercpu_time_millis_testing: 0.031, usercpu_time_millis_training: 2.206,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9429, f_measure: 0.9724, kappa: 0.8977, kb_relative_information_score: 8728.584, mean_absolute_error: 0.0274, mean_prior_absolute_error: 0.2716, number_of_instances: 9961, precision: 0.9723, predictive_accuracy: 0.9726, prior_entropy: 0.6393, recall: 0.9726, relative_absolute_error: 0.1009, root_mean_prior_squared_error: 0.3685, root_mean_squared_error: 0.1656, root_relative_squared_error: 0.4493, usercpu_time_millis: 7.769, usercpu_time_millis_testing: 0.052, usercpu_time_millis_training: 7.717,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9268, f_measure: 0.9615, kappa: 0.8577, kb_relative_information_score: 8233.0155, mean_absolute_error: 0.0385, mean_prior_absolute_error: 0.2716, number_of_instances: 9961, precision: 0.9614, predictive_accuracy: 0.9616, prior_entropy: 0.6393, recall: 0.9616, relative_absolute_error: 0.1416, root_mean_prior_squared_error: 0.3685, root_mean_squared_error: 0.1961, root_relative_squared_error: 0.5322, usercpu_time_millis: 6.435, usercpu_time_millis_testing: 5.513, usercpu_time_millis_training: 0.922,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.927, f_measure: 0.9645, kappa: 0.8681, kb_relative_information_score: 8377.1809, mean_absolute_error: 0.0352, mean_prior_absolute_error: 0.2716, number_of_instances: 9961, precision: 0.9643, predictive_accuracy: 0.9648, prior_entropy: 0.6393, recall: 0.9648, relative_absolute_error: 0.1297, root_mean_prior_squared_error: 0.3685, root_mean_squared_error: 0.1877, root_relative_squared_error: 0.5094, usercpu_time_millis: 3.149, usercpu_time_millis_testing: 0.057, usercpu_time_millis_training: 3.092,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.7641, kb_relative_information_score: 2687.1538, mean_absolute_error: 0.162, mean_prior_absolute_error: 0.2716, number_of_instances: 9961, precision: 0.7022, predictive_accuracy: 0.838, prior_entropy: 0.6393, recall: 0.838, relative_absolute_error: 0.5966, root_mean_prior_squared_error: 0.3685, root_mean_squared_error: 0.4025, root_relative_squared_error: 1.0924, usercpu_time_millis: 177.486, usercpu_time_millis_testing: 12.14, usercpu_time_millis_training: 165.346,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8961, f_measure: 0.9562, kappa: 0.8345, kb_relative_information_score: 8043.7985, mean_absolute_error: 0.0427, mean_prior_absolute_error: 0.2716, number_of_instances: 9961, precision: 0.9565, predictive_accuracy: 0.9573, prior_entropy: 0.6393, recall: 0.9573, relative_absolute_error: 0.1571, root_mean_prior_squared_error: 0.3685, root_mean_squared_error: 0.2066, root_relative_squared_error: 0.5606, usercpu_time_millis: 85.402, usercpu_time_millis_testing: 0.181, usercpu_time_millis_training: 85.221,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9252, f_measure: 0.9647, kappa: 0.8686, kb_relative_information_score: 8390.6964, mean_absolute_error: 0.0349, mean_prior_absolute_error: 0.2716, number_of_instances: 9961, precision: 0.9646, predictive_accuracy: 0.9651, prior_entropy: 0.6393, recall: 0.9651, relative_absolute_error: 0.1286, root_mean_prior_squared_error: 0.3685, root_mean_squared_error: 0.1869, root_relative_squared_error: 0.5073, usercpu_time_millis: 25.074, usercpu_time_millis_testing: 0.028, usercpu_time_millis_training: 25.046,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.927, f_measure: 0.9645, kappa: 0.8681, kb_relative_information_score: 8377.1809, mean_absolute_error: 0.0352, mean_prior_absolute_error: 0.2716, number_of_instances: 9961, precision: 0.9643, predictive_accuracy: 0.9648, prior_entropy: 0.6393, recall: 0.9648, relative_absolute_error: 0.1297, root_mean_prior_squared_error: 0.3685, root_mean_squared_error: 0.1877, root_relative_squared_error: 0.5094, usercpu_time_millis: 5.188, usercpu_time_millis_testing: 0.057, usercpu_time_millis_training: 5.131,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.903, f_measure: 0.9563, kappa: 0.8362, kb_relative_information_score: 8034.7881, mean_absolute_error: 0.0429, mean_prior_absolute_error: 0.2716, number_of_instances: 9961, precision: 0.9562, predictive_accuracy: 0.9571, prior_entropy: 0.6393, recall: 0.9571, relative_absolute_error: 0.1578, root_mean_prior_squared_error: 0.3685, root_mean_squared_error: 0.207, root_relative_squared_error: 0.5619, usercpu_time_millis: 0.834, usercpu_time_millis_testing: 0.017, usercpu_time_millis_training: 0.817,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9197, f_measure: 0.9606, kappa: 0.8537, kb_relative_information_score: 8205.9845, mean_absolute_error: 0.0391, mean_prior_absolute_error: 0.2716, number_of_instances: 9961, precision: 0.9604, predictive_accuracy: 0.9609, prior_entropy: 0.6393, recall: 0.9609, relative_absolute_error: 0.1438, root_mean_prior_squared_error: 0.3685, root_mean_squared_error: 0.1976, root_relative_squared_error: 0.5363, usercpu_time_millis: 0.974, usercpu_time_millis_testing: 0.013, usercpu_time_millis_training: 0.961,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8877, f_measure: 0.952, kappa: 0.8185, kb_relative_information_score: 7863.5918, mean_absolute_error: 0.0467, mean_prior_absolute_error: 0.2716, number_of_instances: 9961, precision: 0.9522, predictive_accuracy: 0.9533, prior_entropy: 0.6393, recall: 0.9533, relative_absolute_error: 0.1719, root_mean_prior_squared_error: 0.3685, root_mean_squared_error: 0.2161, root_relative_squared_error: 0.5864, usercpu_time_millis: 2.792, usercpu_time_millis_testing: 0.096, usercpu_time_millis_training: 2.696,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9771, f_measure: 0.9888, kappa: 0.9588, kb_relative_information_score: 9458.4212, mean_absolute_error: 0.0111, mean_prior_absolute_error: 0.2716, number_of_instances: 9961, precision: 0.9888, predictive_accuracy: 0.9889, prior_entropy: 0.6393, recall: 0.9889, relative_absolute_error: 0.041, root_mean_prior_squared_error: 0.3685, root_mean_squared_error: 0.1056, root_relative_squared_error: 0.2865, usercpu_time_millis: 10.176, usercpu_time_millis_testing: 1.364, usercpu_time_millis_training: 8.812,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9954, f_measure: 0.9977, kappa: 0.9915, kb_relative_information_score: 9854.876, mean_absolute_error: 0.0023, mean_prior_absolute_error: 0.2716, number_of_instances: 9961, precision: 0.9977, predictive_accuracy: 0.9977, prior_entropy: 0.6393, recall: 0.9977, relative_absolute_error: 0.0085, root_mean_prior_squared_error: 0.3685, root_mean_squared_error: 0.0481, root_relative_squared_error: 0.1304, usercpu_time_millis: 4.326, usercpu_time_millis_testing: 3.867, usercpu_time_millis_training: 0.459,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9577, f_measure: 0.9765, kappa: 0.9137, kb_relative_information_score: 8904.2855, mean_absolute_error: 0.0235, mean_prior_absolute_error: 0.2716, number_of_instances: 9961, precision: 0.9766, predictive_accuracy: 0.9765, prior_entropy: 0.6393, recall: 0.9765, relative_absolute_error: 0.0865, root_mean_prior_squared_error: 0.3685, root_mean_squared_error: 0.1533, root_relative_squared_error: 0.416, usercpu_time_millis: 28.284, usercpu_time_millis_testing: 0.513, usercpu_time_millis_training: 27.771,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9561, f_measure: 0.9775, kappa: 0.9168, kb_relative_information_score: 8949.3372, mean_absolute_error: 0.0225, mean_prior_absolute_error: 0.2716, number_of_instances: 9961, precision: 0.9774, predictive_accuracy: 0.9775, prior_entropy: 0.6393, recall: 0.9775, relative_absolute_error: 0.0828, root_mean_prior_squared_error: 0.3685, root_mean_squared_error: 0.15, root_relative_squared_error: 0.407, usercpu_time_millis: 5.559, usercpu_time_millis_testing: 0.677, usercpu_time_millis_training: 4.882,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9967, f_measure: 0.9982, kappa: 0.9933, kb_relative_information_score: 9877.4018, mean_absolute_error: 0.0018, mean_prior_absolute_error: 0.2716, number_of_instances: 9961, precision: 0.9982, predictive_accuracy: 0.9982, prior_entropy: 0.6393, recall: 0.9982, relative_absolute_error: 0.0067, root_mean_prior_squared_error: 0.3685, root_mean_squared_error: 0.0425, root_relative_squared_error: 0.1154, usercpu_time_millis: 61.204, usercpu_time_millis_testing: 7.681, usercpu_time_millis_training: 53.523,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.888, f_measure: 0.9521, kappa: 0.819, kb_relative_information_score: 7868.0969, mean_absolute_error: 0.0466, mean_prior_absolute_error: 0.2716, number_of_instances: 9961, precision: 0.9523, predictive_accuracy: 0.9534, prior_entropy: 0.6393, recall: 0.9534, relative_absolute_error: 0.1715, root_mean_prior_squared_error: 0.3685, root_mean_squared_error: 0.2158, root_relative_squared_error: 0.5857, usercpu_time_millis: 102.056, usercpu_time_millis_testing: 17.042, usercpu_time_millis_training: 85.014,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9402, f_measure: 0.9768, kappa: 0.913, kb_relative_information_score: 8935.8217, mean_absolute_error: 0.0228, mean_prior_absolute_error: 0.2716, number_of_instances: 9961, precision: 0.9771, predictive_accuracy: 0.9772, prior_entropy: 0.6393, recall: 0.9772, relative_absolute_error: 0.0839, root_mean_prior_squared_error: 0.3685, root_mean_squared_error: 0.151, root_relative_squared_error: 0.4097, usercpu_time_millis: 960.401, usercpu_time_millis_testing: 386.687, usercpu_time_millis_training: 573.714,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8979, f_measure: 0.9567, kappa: 0.8367, kb_relative_information_score: 8066.3243, mean_absolute_error: 0.0422, mean_prior_absolute_error: 0.2716, number_of_instances: 9961, precision: 0.957, predictive_accuracy: 0.9578, prior_entropy: 0.6393, recall: 0.9578, relative_absolute_error: 0.1552, root_mean_prior_squared_error: 0.3685, root_mean_squared_error: 0.2053, root_relative_squared_error: 0.5573, usercpu_time_millis: 5.333, usercpu_time_millis_testing: 0.104, usercpu_time_millis_training: 5.229,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8524, f_measure: 0.9434, kappa: 0.7815, kb_relative_information_score: 7557.2403, mean_absolute_error: 0.0535, mean_prior_absolute_error: 0.2716, number_of_instances: 9961, precision: 0.9463, predictive_accuracy: 0.9465, prior_entropy: 0.6393, recall: 0.9465, relative_absolute_error: 0.197, root_mean_prior_squared_error: 0.3685, root_mean_squared_error: 0.2313, root_relative_squared_error: 0.6278, usercpu_time_millis: 9.397, usercpu_time_millis_testing: 0.06, usercpu_time_millis_training: 9.337,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.7641, kb_relative_information_score: 2687.1538, mean_absolute_error: 0.162, mean_prior_absolute_error: 0.2716, number_of_instances: 9961, precision: 0.7022, predictive_accuracy: 0.838, prior_entropy: 0.6393, recall: 0.838, relative_absolute_error: 0.5966, root_mean_prior_squared_error: 0.3685, root_mean_squared_error: 0.4025, root_relative_squared_error: 1.0924, usercpu_time_millis: 7.65, usercpu_time_millis_testing: 0.058, usercpu_time_millis_training: 7.592,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.985, f_measure: 0.9941, kappa: 0.978, kb_relative_information_score: 9692.6899, mean_absolute_error: 0.0059, mean_prior_absolute_error: 0.2716, number_of_instances: 9961, precision: 0.9941, predictive_accuracy: 0.9941, prior_entropy: 0.6393, recall: 0.9941, relative_absolute_error: 0.0218, root_mean_prior_squared_error: 0.3685, root_mean_squared_error: 0.077, root_relative_squared_error: 0.2089, usercpu_time_millis: 19.534, usercpu_time_millis_testing: 3.489, usercpu_time_millis_training: 16.045,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.7641, kb_relative_information_score: 2687.1538, mean_absolute_error: 0.162, mean_prior_absolute_error: 0.2716, number_of_instances: 9961, precision: 0.7022, predictive_accuracy: 0.838, prior_entropy: 0.6393, recall: 0.838, relative_absolute_error: 0.5966, root_mean_prior_squared_error: 0.3685, root_mean_squared_error: 0.4025, root_relative_squared_error: 1.0924, usercpu_time_millis: 2.824, usercpu_time_millis_testing: 0.018, usercpu_time_millis_training: 2.806,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9429, f_measure: 0.9693, kappa: 0.8868, kb_relative_information_score: 8579.9135, mean_absolute_error: 0.0307, mean_prior_absolute_error: 0.2716, number_of_instances: 9961, precision: 0.9693, predictive_accuracy: 0.9693, prior_entropy: 0.6393, recall: 0.9693, relative_absolute_error: 0.1131, root_mean_prior_squared_error: 0.3685, root_mean_squared_error: 0.1753, root_relative_squared_error: 0.4757, usercpu_time_millis: 3.725, usercpu_time_millis_testing: 0.094, usercpu_time_millis_training: 3.631,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9894, f_measure: 0.9953, kappa: 0.9826, kb_relative_information_score: 9746.7519, mean_absolute_error: 0.0047, mean_prior_absolute_error: 0.2716, number_of_instances: 9961, precision: 0.9953, predictive_accuracy: 0.9953, prior_entropy: 0.6393, recall: 0.9953, relative_absolute_error: 0.0174, root_mean_prior_squared_error: 0.3685, root_mean_squared_error: 0.0687, root_relative_squared_error: 0.1864, usercpu_time_millis: 369.977, usercpu_time_millis_testing: 6.875, usercpu_time_millis_training: 363.102,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9674, f_measure: 0.9855, kappa: 0.9461, kb_relative_information_score: 9309.7507, mean_absolute_error: 0.0145, mean_prior_absolute_error: 0.2716, number_of_instances: 9961, precision: 0.9855, predictive_accuracy: 0.9855, prior_entropy: 0.6393, recall: 0.9855, relative_absolute_error: 0.0532, root_mean_prior_squared_error: 0.3685, root_mean_squared_error: 0.1202, root_relative_squared_error: 0.3263, usercpu_time_millis: 85.181, usercpu_time_millis_testing: 0.796, usercpu_time_millis_training: 84.385,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.927, f_measure: 0.9645, kappa: 0.8681, kb_relative_information_score: 8377.1809, mean_absolute_error: 0.0352, mean_prior_absolute_error: 0.2716, number_of_instances: 9961, precision: 0.9643, predictive_accuracy: 0.9648, prior_entropy: 0.6393, recall: 0.9648, relative_absolute_error: 0.1297, root_mean_prior_squared_error: 0.3685, root_mean_squared_error: 0.1877, root_relative_squared_error: 0.5094, usercpu_time_millis: 3.836, usercpu_time_millis_testing: 0.041, usercpu_time_millis_training: 3.795,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6508, f_measure: 0.8397, kappa: 0.3624, kb_relative_information_score: 3489.0737, mean_absolute_error: 0.1442, mean_prior_absolute_error: 0.2716, number_of_instances: 9961, precision: 0.8364, predictive_accuracy: 0.8558, prior_entropy: 0.6393, recall: 0.8558, relative_absolute_error: 0.5308, root_mean_prior_squared_error: 0.3685, root_mean_squared_error: 0.3797, root_relative_squared_error: 1.0304, usercpu_time_millis: 25.469, usercpu_time_millis_testing: 0.325, usercpu_time_millis_training: 25.144,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9729, f_measure: 0.9881, kappa: 0.9559, kb_relative_information_score: 9426.885, mean_absolute_error: 0.0118, mean_prior_absolute_error: 0.2716, number_of_instances: 9961, precision: 0.9881, predictive_accuracy: 0.9882, prior_entropy: 0.6393, recall: 0.9882, relative_absolute_error: 0.0436, root_mean_prior_squared_error: 0.3685, root_mean_squared_error: 0.1088, root_relative_squared_error: 0.2954, usercpu_time_millis: 122.273, usercpu_time_millis_testing: 1.77, usercpu_time_millis_training: 120.503,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9512, f_measure: 0.9783, kappa: 0.9194, kb_relative_information_score: 8994.3889, mean_absolute_error: 0.0215, mean_prior_absolute_error: 0.2716, number_of_instances: 9961, precision: 0.9783, predictive_accuracy: 0.9785, prior_entropy: 0.6393, recall: 0.9785, relative_absolute_error: 0.0791, root_mean_prior_squared_error: 0.3685, root_mean_squared_error: 0.1466, root_relative_squared_error: 0.3978, usercpu_time_millis: 35.316, usercpu_time_millis_testing: 0.177, usercpu_time_millis_training: 35.139,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9682, f_measure: 0.9607, kappa: 0.8543, kb_relative_information_score: 7867.0062, mean_absolute_error: 0.0531, mean_prior_absolute_error: 0.2716, number_of_instances: 9961, precision: 0.9606, predictive_accuracy: 0.961, prior_entropy: 0.6393, recall: 0.961, relative_absolute_error: 0.1956, root_mean_prior_squared_error: 0.3685, root_mean_squared_error: 0.1817, root_relative_squared_error: 0.493, scimark_benchmark: 906.0979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9884, f_measure: 0.9595, kappa: 0.8495, kb_relative_information_score: 6718.6834, mean_absolute_error: 0.0872, mean_prior_absolute_error: 0.2716, number_of_instances: 9961, precision: 0.9593, predictive_accuracy: 0.9598, prior_entropy: 0.6393, recall: 0.9598, relative_absolute_error: 0.3209, root_mean_prior_squared_error: 0.3685, root_mean_squared_error: 0.1786, root_relative_squared_error: 0.4846, scimark_benchmark: 972.587, usercpu_time_millis: 1650, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 1640,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9871, f_measure: 0.9607, kappa: 0.8527, kb_relative_information_score: 7311.2074, mean_absolute_error: 0.0688, mean_prior_absolute_error: 0.2716, number_of_instances: 9961, precision: 0.9606, predictive_accuracy: 0.9613, prior_entropy: 0.6393, recall: 0.9613, relative_absolute_error: 0.2532, root_mean_prior_squared_error: 0.3685, root_mean_squared_error: 0.1725, root_relative_squared_error: 0.4682, scimark_benchmark: 851.2074, usercpu_time_millis: 2520, usercpu_time_millis_training: 2520,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7669, f_measure: 0.9134, kappa: 0.6534, kb_relative_information_score: 6507.5362, mean_absolute_error: 0.0769, mean_prior_absolute_error: 0.2716, number_of_instances: 9961, precision: 0.9277, predictive_accuracy: 0.9231, prior_entropy: 0.6393, recall: 0.9231, relative_absolute_error: 0.2831, root_mean_prior_squared_error: 0.3685, root_mean_squared_error: 0.2773, root_relative_squared_error: 0.7526, scimark_benchmark: 904.6764, usercpu_time_millis: 16990, usercpu_time_millis_testing: 4320, usercpu_time_millis_training: 12670,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7669, f_measure: 0.9134, kappa: 0.6534, kb_relative_information_score: 6507.5362, mean_absolute_error: 0.0769, mean_prior_absolute_error: 0.2716, number_of_instances: 9961, precision: 0.9277, predictive_accuracy: 0.9231, prior_entropy: 0.6393, recall: 0.9231, relative_absolute_error: 0.2831, root_mean_prior_squared_error: 0.3685, root_mean_squared_error: 0.2773, root_relative_squared_error: 0.7526, scimark_benchmark: 942.2392,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9908, f_measure: 0.96, kappa: 0.8547, kb_relative_information_score: 7786.1679, mean_absolute_error: 0.0498, mean_prior_absolute_error: 0.2716, number_of_instances: 9961, precision: 0.9608, predictive_accuracy: 0.9595, prior_entropy: 0.6393, recall: 0.9595, relative_absolute_error: 0.1835, root_mean_prior_squared_error: 0.3685, root_mean_squared_error: 0.1707, root_relative_squared_error: 0.4631, scimark_benchmark: 941.6675, usercpu_time_millis: 160, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 130,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9953, f_measure: 0.9731, kappa: 0.9019, kb_relative_information_score: 8415.4688, mean_absolute_error: 0.036, mean_prior_absolute_error: 0.2716, number_of_instances: 9961, precision: 0.9736, predictive_accuracy: 0.9728, prior_entropy: 0.6393, recall: 0.9728, relative_absolute_error: 0.1327, root_mean_prior_squared_error: 0.3685, root_mean_squared_error: 0.1424, root_relative_squared_error: 0.3866, scimark_benchmark: 938.191, usercpu_time_millis: 160, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 110,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9971, f_measure: 0.9811, kappa: 0.93, kb_relative_information_score: 8556.615, mean_absolute_error: 0.0367, mean_prior_absolute_error: 0.2716, number_of_instances: 9961, precision: 0.981, predictive_accuracy: 0.9811, prior_entropy: 0.6393, recall: 0.9811, relative_absolute_error: 0.1352, root_mean_prior_squared_error: 0.3685, root_mean_squared_error: 0.1201, root_relative_squared_error: 0.3258, scimark_benchmark: 941.6675, usercpu_time_millis: 920, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 900,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9953, f_measure: 0.9731, kappa: 0.9019, kb_relative_information_score: 8415.4688, mean_absolute_error: 0.036, mean_prior_absolute_error: 0.2716, number_of_instances: 9961, precision: 0.9736, predictive_accuracy: 0.9728, prior_entropy: 0.6393, recall: 0.9728, relative_absolute_error: 0.1327, root_mean_prior_squared_error: 0.3685, root_mean_squared_error: 0.1424, root_relative_squared_error: 0.3866, scimark_benchmark: 905.2959,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9907, f_measure: 0.9748, kappa: 0.9072, kb_relative_information_score: 8625.5575, mean_absolute_error: 0.0325, mean_prior_absolute_error: 0.2716, number_of_instances: 9961, precision: 0.9748, predictive_accuracy: 0.9749, prior_entropy: 0.6393, recall: 0.9749, relative_absolute_error: 0.1196, root_mean_prior_squared_error: 0.3685, root_mean_squared_error: 0.146, root_relative_squared_error: 0.3962, scimark_benchmark: 927.2917, usercpu_time_millis: 6000, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 5960,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7669, f_measure: 0.9134, kappa: 0.6534, kb_relative_information_score: 6507.5362, mean_absolute_error: 0.0769, mean_prior_absolute_error: 0.2716, number_of_instances: 9961, precision: 0.9277, predictive_accuracy: 0.9231, prior_entropy: 0.6393, recall: 0.9231, relative_absolute_error: 0.2831, root_mean_prior_squared_error: 0.3685, root_mean_squared_error: 0.2773, root_relative_squared_error: 0.7526, scimark_benchmark: 932.438, usercpu_time_millis: 12740, usercpu_time_millis_testing: 3730, usercpu_time_millis_training: 9010,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9953, f_measure: 0.9731, kappa: 0.9019, kb_relative_information_score: 8415.4688, mean_absolute_error: 0.036, mean_prior_absolute_error: 0.2716, number_of_instances: 9961, precision: 0.9736, predictive_accuracy: 0.9728, prior_entropy: 0.6393, recall: 0.9728, relative_absolute_error: 0.1327, root_mean_prior_squared_error: 0.3685, root_mean_squared_error: 0.1424, root_relative_squared_error: 0.3866, scimark_benchmark: 941.3847, usercpu_time_millis: 160, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 110,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9953, f_measure: 0.9731, kappa: 0.9019, kb_relative_information_score: 8415.4688, mean_absolute_error: 0.036, mean_prior_absolute_error: 0.2716, number_of_instances: 9961, precision: 0.9736, predictive_accuracy: 0.9728, prior_entropy: 0.6393, recall: 0.9728, relative_absolute_error: 0.1327, root_mean_prior_squared_error: 0.3685, root_mean_squared_error: 0.1424, root_relative_squared_error: 0.3866, scimark_benchmark: 974.2014, usercpu_time_millis: 120, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9907, f_measure: 0.9748, kappa: 0.9072, kb_relative_information_score: 8625.5575, mean_absolute_error: 0.0325, mean_prior_absolute_error: 0.2716, number_of_instances: 9961, precision: 0.9748, predictive_accuracy: 0.9749, prior_entropy: 0.6393, recall: 0.9749, relative_absolute_error: 0.1196, root_mean_prior_squared_error: 0.3685, root_mean_squared_error: 0.146, root_relative_squared_error: 0.3962, scimark_benchmark: 939.8002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9993, f_measure: 0.989, kappa: 0.9593, kb_relative_information_score: 8860.9781, mean_absolute_error: 0.0324, mean_prior_absolute_error: 0.2716, number_of_instances: 9961, precision: 0.989, predictive_accuracy: 0.9891, prior_entropy: 0.6393, recall: 0.9891, relative_absolute_error: 0.1192, root_mean_prior_squared_error: 0.3685, root_mean_squared_error: 0.0981, root_relative_squared_error: 0.2662, scimark_benchmark: 943.1009, usercpu_time_millis: 3540, usercpu_time_millis_testing: 230, usercpu_time_millis_training: 3310,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9682, f_measure: 0.9607, kappa: 0.8543, kb_relative_information_score: 7867.0062, mean_absolute_error: 0.0531, mean_prior_absolute_error: 0.2716, number_of_instances: 9961, precision: 0.9606, predictive_accuracy: 0.961, prior_entropy: 0.6393, recall: 0.961, relative_absolute_error: 0.1956, root_mean_prior_squared_error: 0.3685, root_mean_squared_error: 0.1817, root_relative_squared_error: 0.493, scimark_benchmark: 819.5729, usercpu_time_millis: 270, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 260,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9884, f_measure: 0.9595, kappa: 0.8495, kb_relative_information_score: 6718.6834, mean_absolute_error: 0.0872, mean_prior_absolute_error: 0.2716, number_of_instances: 9961, precision: 0.9593, predictive_accuracy: 0.9598, prior_entropy: 0.6393, recall: 0.9598, relative_absolute_error: 0.3209, root_mean_prior_squared_error: 0.3685, root_mean_squared_error: 0.1786, root_relative_squared_error: 0.4846, scimark_benchmark: 901.6243, usercpu_time_millis: 1090, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 1080,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9871, f_measure: 0.9607, kappa: 0.8527, kb_relative_information_score: 7311.2074, mean_absolute_error: 0.0688, mean_prior_absolute_error: 0.2716, number_of_instances: 9961, precision: 0.9606, predictive_accuracy: 0.9613, prior_entropy: 0.6393, recall: 0.9613, relative_absolute_error: 0.2532, root_mean_prior_squared_error: 0.3685, root_mean_squared_error: 0.1725, root_relative_squared_error: 0.4682, scimark_benchmark: 819.5729, usercpu_time_millis: 4920, usercpu_time_millis_training: 4920,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7669, f_measure: 0.9134, kappa: 0.6534, kb_relative_information_score: 6507.5362, mean_absolute_error: 0.0769, mean_prior_absolute_error: 0.2716, number_of_instances: 9961, precision: 0.9277, predictive_accuracy: 0.9231, prior_entropy: 0.6393, recall: 0.9231, relative_absolute_error: 0.2831, root_mean_prior_squared_error: 0.3685, root_mean_squared_error: 0.2773, root_relative_squared_error: 0.7526, scimark_benchmark: 926.5462, usercpu_time_millis: 14950, usercpu_time_millis_testing: 3620, usercpu_time_millis_training: 11330,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9953, f_measure: 0.9731, kappa: 0.9019, kb_relative_information_score: 8415.4688, mean_absolute_error: 0.036, mean_prior_absolute_error: 0.2716, number_of_instances: 9961, precision: 0.9736, predictive_accuracy: 0.9728, prior_entropy: 0.6393, recall: 0.9728, relative_absolute_error: 0.1327, root_mean_prior_squared_error: 0.3685, root_mean_squared_error: 0.1424, root_relative_squared_error: 0.3866, scimark_benchmark: 930.404, usercpu_time_millis: 190, usercpu_time_millis_testing: 60, usercpu_time_millis_training: 130,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9953, f_measure: 0.9731, kappa: 0.9019, kb_relative_information_score: 8415.4688, mean_absolute_error: 0.036, mean_prior_absolute_error: 0.2716, number_of_instances: 9961, precision: 0.9736, predictive_accuracy: 0.9728, prior_entropy: 0.6393, recall: 0.9728, relative_absolute_error: 0.1327, root_mean_prior_squared_error: 0.3685, root_mean_squared_error: 0.1424, root_relative_squared_error: 0.3866, scimark_benchmark: 903.2737, usercpu_time_millis: 190, usercpu_time_millis_testing: 70, usercpu_time_millis_training: 120,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9953, f_measure: 0.9731, kappa: 0.9019, kb_relative_information_score: 8415.4688, mean_absolute_error: 0.036, mean_prior_absolute_error: 0.2716, number_of_instances: 9961, precision: 0.9736, predictive_accuracy: 0.9728, prior_entropy: 0.6393, recall: 0.9728, relative_absolute_error: 0.1327, root_mean_prior_squared_error: 0.3685, root_mean_squared_error: 0.1424, root_relative_squared_error: 0.3866, scimark_benchmark: 930.404, usercpu_time_millis: 160, usercpu_time_millis_testing: 60, usercpu_time_millis_training: 100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9953, f_measure: 0.9731, kappa: 0.9019, kb_relative_information_score: 8415.4688, mean_absolute_error: 0.036, mean_prior_absolute_error: 0.2716, number_of_instances: 9961, precision: 0.9736, predictive_accuracy: 0.9728, prior_entropy: 0.6393, recall: 0.9728, relative_absolute_error: 0.1327, root_mean_prior_squared_error: 0.3685, root_mean_squared_error: 0.1424, root_relative_squared_error: 0.3866, scimark_benchmark: 903.2737, usercpu_time_millis: 160, usercpu_time_millis_testing: 70, usercpu_time_millis_training: 90,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9971, f_measure: 0.9811, kappa: 0.93, kb_relative_information_score: 8556.615, mean_absolute_error: 0.0367, mean_prior_absolute_error: 0.2716, number_of_instances: 9961, precision: 0.981, predictive_accuracy: 0.9811, prior_entropy: 0.6393, recall: 0.9811, relative_absolute_error: 0.1352, root_mean_prior_squared_error: 0.3685, root_mean_squared_error: 0.1201, root_relative_squared_error: 0.3258, scimark_benchmark: 930.404, usercpu_time_millis: 690, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 670,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9985, f_measure: 0.9854, kappa: 0.9461, kb_relative_information_score: 8956.2466, mean_absolute_error: 0.0268, mean_prior_absolute_error: 0.2716, number_of_instances: 9961, precision: 0.9854, predictive_accuracy: 0.9854, prior_entropy: 0.6393, recall: 0.9854, relative_absolute_error: 0.0988, root_mean_prior_squared_error: 0.3685, root_mean_squared_error: 0.1033, root_relative_squared_error: 0.2804, scimark_benchmark: 936.3213, usercpu_time_millis: 3555640, usercpu_time_millis_testing: 15310, usercpu_time_millis_training: 3540330,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9953, f_measure: 0.9731, kappa: 0.9019, kb_relative_information_score: 8415.4688, mean_absolute_error: 0.036, mean_prior_absolute_error: 0.2716, number_of_instances: 9961, precision: 0.9736, predictive_accuracy: 0.9728, prior_entropy: 0.6393, recall: 0.9728, relative_absolute_error: 0.1327, root_mean_prior_squared_error: 0.3685, root_mean_squared_error: 0.1424, root_relative_squared_error: 0.3866, scimark_benchmark: 936.9595, usercpu_time_millis: 270, usercpu_time_millis_testing: 90, usercpu_time_millis_training: 180,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9993, f_measure: 0.989, kappa: 0.9593, kb_relative_information_score: 8860.9781, mean_absolute_error: 0.0324, mean_prior_absolute_error: 0.2716, number_of_instances: 9961, precision: 0.989, predictive_accuracy: 0.9891, prior_entropy: 0.6393, recall: 0.9891, relative_absolute_error: 0.1192, root_mean_prior_squared_error: 0.3685, root_mean_squared_error: 0.0981, root_relative_squared_error: 0.2662, scimark_benchmark: 917.5013, usercpu_time_millis: 4310, usercpu_time_millis_testing: 410, usercpu_time_millis_training: 3900,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9921, kappa: 0.9709, kb_relative_information_score: 9066.2755, mean_absolute_error: 0.0281, mean_prior_absolute_error: 0.2716, number_of_instances: 9961, precision: 0.9922, predictive_accuracy: 0.9922, prior_entropy: 0.6393, recall: 0.9922, relative_absolute_error: 0.1035, root_mean_prior_squared_error: 0.3685, root_mean_squared_error: 0.0853, root_relative_squared_error: 0.2315, scimark_benchmark: 901.6243, usercpu_time_millis: 97990, usercpu_time_millis_testing: 28280, usercpu_time_millis_training: 69710,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9918, kappa: 0.9697, kb_relative_information_score: 9041.0141, mean_absolute_error: 0.0285, mean_prior_absolute_error: 0.2716, number_of_instances: 9961, precision: 0.9918, predictive_accuracy: 0.9919, prior_entropy: 0.6393, recall: 0.9919, relative_absolute_error: 0.1048, root_mean_prior_squared_error: 0.3685, root_mean_squared_error: 0.0867, root_relative_squared_error: 0.2353, scimark_benchmark: 935.5664, usercpu_time_millis: 47300, usercpu_time_millis_testing: 7740, usercpu_time_millis_training: 39560,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9915, kappa: 0.9686, kb_relative_information_score: 9045.5189, mean_absolute_error: 0.0283, mean_prior_absolute_error: 0.2716, number_of_instances: 9961, precision: 0.9915, predictive_accuracy: 0.9916, prior_entropy: 0.6393, recall: 0.9916, relative_absolute_error: 0.1043, root_mean_prior_squared_error: 0.3685, root_mean_squared_error: 0.0869, root_relative_squared_error: 0.2358, scimark_benchmark: 938.3401, usercpu_time_millis: 21040, usercpu_time_millis_testing: 2840, usercpu_time_millis_training: 18200,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9996, f_measure: 0.9911, kappa: 0.9672, kb_relative_information_score: 9007.6793, mean_absolute_error: 0.0284, mean_prior_absolute_error: 0.2716, number_of_instances: 9961, precision: 0.9911, predictive_accuracy: 0.9912, prior_entropy: 0.6393, recall: 0.9912, relative_absolute_error: 0.1047, root_mean_prior_squared_error: 0.3685, root_mean_squared_error: 0.0897, root_relative_squared_error: 0.2433, scimark_benchmark: 934.6244, usercpu_time_millis: 10770, usercpu_time_millis_testing: 1490, usercpu_time_millis_training: 9280,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9993, f_measure: 0.9904, kappa: 0.9646, kb_relative_information_score: 9028.0121, mean_absolute_error: 0.0273, mean_prior_absolute_error: 0.2716, number_of_instances: 9961, precision: 0.9904, predictive_accuracy: 0.9905, prior_entropy: 0.6393, recall: 0.9905, relative_absolute_error: 0.1005, root_mean_prior_squared_error: 0.3685, root_mean_squared_error: 0.0918, root_relative_squared_error: 0.249, scimark_benchmark: 899.1108, usercpu_time_millis: 5540, usercpu_time_millis_testing: 790, usercpu_time_millis_training: 4750,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9657, f_measure: 0.9382, kappa: 0.782, kb_relative_information_score: 6385.7804, mean_absolute_error: 0.0914, mean_prior_absolute_error: 0.2716, number_of_instances: 9961, precision: 0.9437, predictive_accuracy: 0.9357, prior_entropy: 0.6393, recall: 0.9357, relative_absolute_error: 0.3365, root_mean_prior_squared_error: 0.3685, root_mean_squared_error: 0.2167, root_relative_squared_error: 0.588, scimark_benchmark: 926.5859, usercpu_time_millis: 340, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 320,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9657, f_measure: 0.9382, kappa: 0.782, kb_relative_information_score: 6385.7804, mean_absolute_error: 0.0914, mean_prior_absolute_error: 0.2716, number_of_instances: 9961, precision: 0.9437, predictive_accuracy: 0.9357, prior_entropy: 0.6393, recall: 0.9357, relative_absolute_error: 0.3365, root_mean_prior_squared_error: 0.3685, root_mean_squared_error: 0.2167, root_relative_squared_error: 0.588, scimark_benchmark: 929.0296, usercpu_time_millis: 340, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 320,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9657, f_measure: 0.9382, kappa: 0.782, kb_relative_information_score: 6385.7804, mean_absolute_error: 0.0914, mean_prior_absolute_error: 0.2716, number_of_instances: 9961, precision: 0.9437, predictive_accuracy: 0.9357, prior_entropy: 0.6393, recall: 0.9357, relative_absolute_error: 0.3365, root_mean_prior_squared_error: 0.3685, root_mean_squared_error: 0.2167, root_relative_squared_error: 0.588, scimark_benchmark: 936.7184, usercpu_time_millis: 340, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 320,

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

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From your own software

Use one of our APIs to download data from OpenML and upload your results

OpenML APIs