Task
Supervised Classification on mc1

Supervised Classification on mc1

Task 3907 Supervised Classification mc1 549 runs submitted
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  • mythbusting_1 study_1 study_107 study_15 study_20 study_41 study_7 under100k under1m
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9201, f_measure: 0.9928, kappa: 0.3934, kb_relative_information_score: -31072.6296, mean_absolute_error: 0.0112, mean_prior_absolute_error: 0.0144, number_of_instances: 9466, precision: 0.9932, predictive_accuracy: 0.9942, prior_entropy: 0.0622, recall: 0.9942, relative_absolute_error: 0.7792, root_mean_prior_squared_error: 0.0845, root_mean_squared_error: 0.0767, root_relative_squared_error: 0.9085,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8144, f_measure: 0.9927, kappa: 0.3844, kb_relative_information_score: -4802.3326, mean_absolute_error: 0.0096, mean_prior_absolute_error: 0.0144, number_of_instances: 9466, precision: 0.9936, predictive_accuracy: 0.9943, prior_entropy: 0.0622, recall: 0.9943, relative_absolute_error: 0.6704, root_mean_prior_squared_error: 0.0845, root_mean_squared_error: 0.0707, root_relative_squared_error: 0.8375,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9351, f_measure: 0.991, kappa: 0.2037, kb_relative_information_score: -48724.9466, mean_absolute_error: 0.014, mean_prior_absolute_error: 0.0144, number_of_instances: 9466, precision: 0.9923, predictive_accuracy: 0.9935, prior_entropy: 0.0622, recall: 0.9935, relative_absolute_error: 0.9755, root_mean_prior_squared_error: 0.0845, root_mean_squared_error: 0.0768, root_relative_squared_error: 0.9097,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6312, f_measure: 0.9928, kappa: 0.4019, kb_relative_information_score: 2047.236, mean_absolute_error: 0.01, mean_prior_absolute_error: 0.0144, number_of_instances: 9466, precision: 0.9929, predictive_accuracy: 0.9941, prior_entropy: 0.0622, recall: 0.9941, relative_absolute_error: 0.698, root_mean_prior_squared_error: 0.0845, root_mean_squared_error: 0.0757, root_relative_squared_error: 0.8962,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8641, f_measure: 0.9928, kappa: 0.3934, kb_relative_information_score: -57952.386, mean_absolute_error: 0.0119, mean_prior_absolute_error: 0.0144, number_of_instances: 9466, precision: 0.9932, predictive_accuracy: 0.9942, prior_entropy: 0.0622, recall: 0.9942, relative_absolute_error: 0.8249, root_mean_prior_squared_error: 0.0845, root_mean_squared_error: 0.076, root_relative_squared_error: 0.8994,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8124, f_measure: 0.9918, kappa: 0.4306, kb_relative_information_score: -8638.589, mean_absolute_error: 0.0104, mean_prior_absolute_error: 0.0144, number_of_instances: 9466, precision: 0.9919, predictive_accuracy: 0.9918, prior_entropy: 0.0622, recall: 0.9918, relative_absolute_error: 0.7249, root_mean_prior_squared_error: 0.0845, root_mean_squared_error: 0.0856, root_relative_squared_error: 1.0131,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8789, f_measure: 0.9946, kappa: 0.5772, kb_relative_information_score: -195.1443, mean_absolute_error: 0.0059, mean_prior_absolute_error: 0.0144, number_of_instances: 9466, precision: 0.9946, predictive_accuracy: 0.9952, prior_entropy: 0.0622, recall: 0.9952, relative_absolute_error: 0.4105, root_mean_prior_squared_error: 0.0845, root_mean_squared_error: 0.0677, root_relative_squared_error: 0.8011,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8509, f_measure: 0.9648, kappa: 0.1219, kb_relative_information_score: -448458.5171, mean_absolute_error: 0.1072, mean_prior_absolute_error: 0.0144, number_of_instances: 9466, precision: 0.9903, predictive_accuracy: 0.9436, prior_entropy: 0.0622, recall: 0.9436, relative_absolute_error: 7.4606, root_mean_prior_squared_error: 0.0845, root_mean_squared_error: 0.2286, root_relative_squared_error: 2.7071,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9536, f_measure: 0.9942, kappa: 0.5285, kb_relative_information_score: -8927.1215, mean_absolute_error: 0.0077, mean_prior_absolute_error: 0.0144, number_of_instances: 9466, precision: 0.9946, predictive_accuracy: 0.9951, prior_entropy: 0.0622, recall: 0.9951, relative_absolute_error: 0.5374, root_mean_prior_squared_error: 0.0845, root_mean_squared_error: 0.0686, root_relative_squared_error: 0.8128,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9331, f_measure: 0.9927, kappa: 0.3844, kb_relative_information_score: -11804.7291, mean_absolute_error: 0.0086, mean_prior_absolute_error: 0.0144, number_of_instances: 9466, precision: 0.9936, predictive_accuracy: 0.9943, prior_entropy: 0.0622, recall: 0.9943, relative_absolute_error: 0.5991, root_mean_prior_squared_error: 0.0845, root_mean_squared_error: 0.0725, root_relative_squared_error: 0.8587,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9428, f_measure: 0.9925, kappa: 0.3713, kb_relative_information_score: -13134.3684, mean_absolute_error: 0.0095, mean_prior_absolute_error: 0.0144, number_of_instances: 9466, precision: 0.9928, predictive_accuracy: 0.994, prior_entropy: 0.0622, recall: 0.994, relative_absolute_error: 0.6598, root_mean_prior_squared_error: 0.0845, root_mean_squared_error: 0.0744, root_relative_squared_error: 0.8814,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8554, f_measure: 0.9756, kappa: 0.1626, kb_relative_information_score: -43048.7938, mean_absolute_error: 0.0379, mean_prior_absolute_error: 0.0144, number_of_instances: 9466, precision: 0.9901, predictive_accuracy: 0.9636, prior_entropy: 0.0622, recall: 0.9636, relative_absolute_error: 2.6389, root_mean_prior_squared_error: 0.0845, root_mean_squared_error: 0.1831, root_relative_squared_error: 2.168,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.9892, kb_relative_information_score: 1505.3748, mean_absolute_error: 0.0072, mean_prior_absolute_error: 0.0144, number_of_instances: 9466, precision: 0.9857, predictive_accuracy: 0.9928, prior_entropy: 0.0622, recall: 0.9928, relative_absolute_error: 0.5015, root_mean_prior_squared_error: 0.0845, root_mean_squared_error: 0.0848, root_relative_squared_error: 1.0039,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4881, f_measure: 0.9892, kb_relative_information_score: -619.2311, mean_absolute_error: 0.0144, mean_prior_absolute_error: 0.0144, number_of_instances: 9466, precision: 0.9857, predictive_accuracy: 0.9928, prior_entropy: 0.0622, recall: 0.9928, relative_absolute_error: 1.0008, root_mean_prior_squared_error: 0.0845, root_mean_squared_error: 0.0845, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9531, f_measure: 0.9927, kappa: 0.3799, kb_relative_information_score: -10096.3061, mean_absolute_error: 0.0095, mean_prior_absolute_error: 0.0144, number_of_instances: 9466, precision: 0.9933, predictive_accuracy: 0.9942, prior_entropy: 0.0622, recall: 0.9942, relative_absolute_error: 0.6622, root_mean_prior_squared_error: 0.0845, root_mean_squared_error: 0.0712, root_relative_squared_error: 0.8426,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9476, f_measure: 0.9927, kappa: 0.3844, kb_relative_information_score: -25221.5475, mean_absolute_error: 0.0109, mean_prior_absolute_error: 0.0144, number_of_instances: 9466, precision: 0.9936, predictive_accuracy: 0.9943, prior_entropy: 0.0622, recall: 0.9943, relative_absolute_error: 0.7604, root_mean_prior_squared_error: 0.0845, root_mean_squared_error: 0.0738, root_relative_squared_error: 0.8743,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4881, f_measure: 0.9892, kb_relative_information_score: -619.2311, mean_absolute_error: 0.0144, mean_prior_absolute_error: 0.0144, number_of_instances: 9466, precision: 0.9857, predictive_accuracy: 0.9928, prior_entropy: 0.0622, recall: 0.9928, relative_absolute_error: 1.0008, root_mean_prior_squared_error: 0.0845, root_mean_squared_error: 0.0845, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8015, f_measure: 0.9925, kappa: 0.3713, kb_relative_information_score: -13240.0657, mean_absolute_error: 0.0096, mean_prior_absolute_error: 0.0144, number_of_instances: 9466, precision: 0.9928, predictive_accuracy: 0.994, prior_entropy: 0.0622, recall: 0.994, relative_absolute_error: 0.6659, root_mean_prior_squared_error: 0.0845, root_mean_squared_error: 0.0755, root_relative_squared_error: 0.8944,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4882, f_measure: 0.9892, kb_relative_information_score: 22.7235, mean_absolute_error: 0.0143, mean_prior_absolute_error: 0.0144, number_of_instances: 9466, precision: 0.9857, predictive_accuracy: 0.9928, prior_entropy: 0.0622, recall: 0.9928, relative_absolute_error: 0.9928, root_mean_prior_squared_error: 0.0845, root_mean_squared_error: 0.0845, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9319, f_measure: 0.9927, kappa: 0.3844, kb_relative_information_score: -9213.0139, mean_absolute_error: 0.0091, mean_prior_absolute_error: 0.0144, number_of_instances: 9466, precision: 0.9936, predictive_accuracy: 0.9943, prior_entropy: 0.0622, recall: 0.9943, relative_absolute_error: 0.6309, root_mean_prior_squared_error: 0.0845, root_mean_squared_error: 0.0746, root_relative_squared_error: 0.8831,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7328, f_measure: 0.9926, kappa: 0.3933, kb_relative_information_score: -9918.5773, mean_absolute_error: 0.0102, mean_prior_absolute_error: 0.0144, number_of_instances: 9466, precision: 0.9925, predictive_accuracy: 0.9939, prior_entropy: 0.0622, recall: 0.9939, relative_absolute_error: 0.7093, root_mean_prior_squared_error: 0.0845, root_mean_squared_error: 0.0772, root_relative_squared_error: 0.9136,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8134, f_measure: 0.9648, kappa: 0.1188, kb_relative_information_score: -55666.8097, mean_absolute_error: 0.057, mean_prior_absolute_error: 0.0144, number_of_instances: 9466, precision: 0.9902, predictive_accuracy: 0.9435, prior_entropy: 0.0622, recall: 0.9435, relative_absolute_error: 3.9691, root_mean_prior_squared_error: 0.0845, root_mean_squared_error: 0.2363, root_relative_squared_error: 2.7977,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9257, f_measure: 0.9893, kappa: 0.027, kb_relative_information_score: -47559.8802, mean_absolute_error: 0.0146, mean_prior_absolute_error: 0.0144, number_of_instances: 9466, precision: 0.9876, predictive_accuracy: 0.9926, prior_entropy: 0.0622, recall: 0.9926, relative_absolute_error: 1.0187, root_mean_prior_squared_error: 0.0845, root_mean_squared_error: 0.083, root_relative_squared_error: 0.9833,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.9892, kb_relative_information_score: 1582.342, mean_absolute_error: 0.0072, mean_prior_absolute_error: 0.0144, number_of_instances: 9466, precision: 0.9857, predictive_accuracy: 0.9928, prior_entropy: 0.0622, recall: 0.9928, relative_absolute_error: 0.5, root_mean_prior_squared_error: 0.0845, root_mean_squared_error: 0.0848, root_relative_squared_error: 1.0036,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9146, f_measure: 0.9416, kappa: 0.0861, kb_relative_information_score: -144095.114, mean_absolute_error: 0.1041, mean_prior_absolute_error: 0.0144, number_of_instances: 9466, precision: 0.9912, predictive_accuracy: 0.9012, prior_entropy: 0.0622, recall: 0.9012, relative_absolute_error: 7.248, root_mean_prior_squared_error: 0.0845, root_mean_squared_error: 0.2978, root_relative_squared_error: 3.5262,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9157, f_measure: 0.9944, kappa: 0.5555, kb_relative_information_score: -14558.4653, mean_absolute_error: 0.0081, mean_prior_absolute_error: 0.0144, number_of_instances: 9466, precision: 0.9945, predictive_accuracy: 0.9951, prior_entropy: 0.0622, recall: 0.9951, relative_absolute_error: 0.5621, root_mean_prior_squared_error: 0.0845, root_mean_squared_error: 0.0645, root_relative_squared_error: 0.7637,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8899, f_measure: 0.9622, kappa: 0.1097, kb_relative_information_score: -82180.0325, mean_absolute_error: 0.0652, mean_prior_absolute_error: 0.0144, number_of_instances: 9466, precision: 0.9902, predictive_accuracy: 0.9387, prior_entropy: 0.0622, recall: 0.9387, relative_absolute_error: 4.5365, root_mean_prior_squared_error: 0.0845, root_mean_squared_error: 0.2351, root_relative_squared_error: 2.7843,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.867, f_measure: 0.9295, kappa: 0.077, kb_relative_information_score: -129838.9152, mean_absolute_error: 0.1207, mean_prior_absolute_error: 0.0144, number_of_instances: 9466, precision: 0.9917, predictive_accuracy: 0.8797, prior_entropy: 0.0622, recall: 0.8797, relative_absolute_error: 8.4041, root_mean_prior_squared_error: 0.0845, root_mean_squared_error: 0.3426, root_relative_squared_error: 4.0562,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7328, f_measure: 0.9926, kappa: 0.3933, kb_relative_information_score: -9918.5773, mean_absolute_error: 0.0102, mean_prior_absolute_error: 0.0144, number_of_instances: 9466, precision: 0.9925, predictive_accuracy: 0.9939, prior_entropy: 0.0622, recall: 0.9939, relative_absolute_error: 0.7093, root_mean_prior_squared_error: 0.0845, root_mean_squared_error: 0.0772, root_relative_squared_error: 0.9136,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.9892, kb_relative_information_score: 1582.342, mean_absolute_error: 0.0072, mean_prior_absolute_error: 0.0144, number_of_instances: 9466, precision: 0.9857, predictive_accuracy: 0.9928, prior_entropy: 0.0622, recall: 0.9928, relative_absolute_error: 0.5, root_mean_prior_squared_error: 0.0845, root_mean_squared_error: 0.0848, root_relative_squared_error: 1.0036,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.9892, kb_relative_information_score: 1582.342, mean_absolute_error: 0.0072, mean_prior_absolute_error: 0.0144, number_of_instances: 9466, precision: 0.9857, predictive_accuracy: 0.9928, prior_entropy: 0.0622, recall: 0.9928, relative_absolute_error: 0.5, root_mean_prior_squared_error: 0.0845, root_mean_squared_error: 0.0848, root_relative_squared_error: 1.0036,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.813, f_measure: 0.9636, kappa: 0.1174, kb_relative_information_score: -58344.8965, mean_absolute_error: 0.0588, mean_prior_absolute_error: 0.0144, number_of_instances: 9466, precision: 0.9903, predictive_accuracy: 0.9414, prior_entropy: 0.0622, recall: 0.9414, relative_absolute_error: 4.0961, root_mean_prior_squared_error: 0.0845, root_mean_squared_error: 0.2396, root_relative_squared_error: 2.8366,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8889, f_measure: 0.9927, kappa: 0.3844, kb_relative_information_score: 2512.3811, mean_absolute_error: 0.0107, mean_prior_absolute_error: 0.0144, number_of_instances: 9466, precision: 0.9936, predictive_accuracy: 0.9943, prior_entropy: 0.0622, recall: 0.9943, relative_absolute_error: 0.7428, root_mean_prior_squared_error: 0.0845, root_mean_squared_error: 0.0736, root_relative_squared_error: 0.8719,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8545, f_measure: 0.9941, kappa: 0.5271, kb_relative_information_score: -8954.5899, mean_absolute_error: 0.008, mean_prior_absolute_error: 0.0144, number_of_instances: 9466, precision: 0.9942, predictive_accuracy: 0.9949, prior_entropy: 0.0622, recall: 0.9949, relative_absolute_error: 0.5565, root_mean_prior_squared_error: 0.0845, root_mean_squared_error: 0.0669, root_relative_squared_error: 0.792,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8058, f_measure: 0.9943, kappa: 0.5863, kb_relative_information_score: -1118.4109, mean_absolute_error: 0.0069, mean_prior_absolute_error: 0.0144, number_of_instances: 9466, precision: 0.9941, predictive_accuracy: 0.9944, prior_entropy: 0.0622, recall: 0.9944, relative_absolute_error: 0.4772, root_mean_prior_squared_error: 0.0845, root_mean_squared_error: 0.0754, root_relative_squared_error: 0.8927,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6696, f_measure: 0.9929, kappa: 0.4142, kb_relative_information_score: 2631.0872, mean_absolute_error: 0.0061, mean_prior_absolute_error: 0.0144, number_of_instances: 9466, precision: 0.9929, predictive_accuracy: 0.9941, prior_entropy: 0.0622, recall: 0.9941, relative_absolute_error: 0.4259, root_mean_prior_squared_error: 0.0845, root_mean_squared_error: 0.0757, root_relative_squared_error: 0.8969, scimark_benchmark: 1586.7278, usercpu_time_millis: 60359.375, usercpu_time_millis_testing: 78.125, usercpu_time_millis_training: 60281.25,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4993, f_measure: 0.6591, kappa: -0, kb_relative_information_score: -533156.7008, mean_absolute_error: 0.5015, mean_prior_absolute_error: 0.0144, number_of_instances: 9466, precision: 0.9857, predictive_accuracy: 0.4985, prior_entropy: 0.0622, recall: 0.4985, relative_absolute_error: 34.9059, root_mean_prior_squared_error: 0.0845, root_mean_squared_error: 0.7082, root_relative_squared_error: 8.3853, scimark_benchmark: 1922.3298, usercpu_time_millis: 507171.875, usercpu_time_millis_testing: 453.125, usercpu_time_millis_training: 506718.75,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.545, f_measure: 0.5654, kappa: 0.0021, kb_relative_information_score: -638641.6627, mean_absolute_error: 0.599, mean_prior_absolute_error: 0.0144, number_of_instances: 9466, precision: 0.9873, predictive_accuracy: 0.401, prior_entropy: 0.0622, recall: 0.401, relative_absolute_error: 41.6929, root_mean_prior_squared_error: 0.0845, root_mean_squared_error: 0.7739, root_relative_squared_error: 9.1644, scimark_benchmark: 1922.3298, usercpu_time_millis: 276328.125, usercpu_time_millis_testing: 500, usercpu_time_millis_training: 275828.125,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.669, f_measure: 0.9938, kappa: 0.4873, kb_relative_information_score: 3868.0399, mean_absolute_error: 0.0051, mean_prior_absolute_error: 0.0144, number_of_instances: 9466, precision: 0.9944, predictive_accuracy: 0.9949, prior_entropy: 0.0622, recall: 0.9949, relative_absolute_error: 0.353, root_mean_prior_squared_error: 0.0845, root_mean_squared_error: 0.0712, root_relative_squared_error: 0.8432, scimark_benchmark: 1922.3298, usercpu_time_millis: 22265.625, usercpu_time_millis_testing: 5546.875, usercpu_time_millis_training: 16718.75,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4997, f_measure: 0.989, kappa: -0.001, kb_relative_information_score: 1010.9175, mean_absolute_error: 0.0077, mean_prior_absolute_error: 0.0144, number_of_instances: 9466, precision: 0.9857, predictive_accuracy: 0.9923, prior_entropy: 0.0622, recall: 0.9923, relative_absolute_error: 0.5368, root_mean_prior_squared_error: 0.0845, root_mean_squared_error: 0.0878, root_relative_squared_error: 1.0399, scimark_benchmark: 1280.301, usercpu_time_millis: 1296.875, usercpu_time_millis_testing: 515.625, usercpu_time_millis_training: 781.25,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6349, f_measure: 0.9931, kappa: 0.4279, kb_relative_information_score: 2118.7512, mean_absolute_error: 0.0105, mean_prior_absolute_error: 0.0144, number_of_instances: 9466, precision: 0.9935, predictive_accuracy: 0.9944, prior_entropy: 0.0622, recall: 0.9944, relative_absolute_error: 0.7283, root_mean_prior_squared_error: 0.0845, root_mean_squared_error: 0.0738, root_relative_squared_error: 0.8736, scimark_benchmark: 1419.4413, usercpu_time_millis: 70710, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 70680,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4997, f_measure: 0.989, kappa: -0.001, kb_relative_information_score: 1010.9175, mean_absolute_error: 0.0077, mean_prior_absolute_error: 0.0144, number_of_instances: 9466, precision: 0.9857, predictive_accuracy: 0.9923, prior_entropy: 0.0622, recall: 0.9923, relative_absolute_error: 0.5368, root_mean_prior_squared_error: 0.0845, root_mean_squared_error: 0.0878, root_relative_squared_error: 1.0399, scimark_benchmark: 1343.1033, usercpu_time_millis: 3940, usercpu_time_millis_testing: 730, usercpu_time_millis_training: 3210,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.669, f_measure: 0.9938, kappa: 0.4873, kb_relative_information_score: 3868.0399, mean_absolute_error: 0.0051, mean_prior_absolute_error: 0.0144, number_of_instances: 9466, precision: 0.9944, predictive_accuracy: 0.9949, prior_entropy: 0.0622, recall: 0.9949, relative_absolute_error: 0.353, root_mean_prior_squared_error: 0.0845, root_mean_squared_error: 0.0712, root_relative_squared_error: 0.8432, scimark_benchmark: 1386.8283, usercpu_time_millis: 45620, usercpu_time_millis_testing: 11540, usercpu_time_millis_training: 34080,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4993, f_measure: 0.6591, kappa: -0, kb_relative_information_score: -533156.7008, mean_absolute_error: 0.5015, mean_prior_absolute_error: 0.0144, number_of_instances: 9466, precision: 0.9857, predictive_accuracy: 0.4985, prior_entropy: 0.0622, recall: 0.4985, relative_absolute_error: 34.9059, root_mean_prior_squared_error: 0.0845, root_mean_squared_error: 0.7082, root_relative_squared_error: 8.3853, scimark_benchmark: 1672.2773, usercpu_time_millis: 500980, usercpu_time_millis_testing: 410, usercpu_time_millis_training: 500570,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.545, f_measure: 0.5654, kappa: 0.0021, kb_relative_information_score: -638641.6627, mean_absolute_error: 0.599, mean_prior_absolute_error: 0.0144, number_of_instances: 9466, precision: 0.9873, predictive_accuracy: 0.401, prior_entropy: 0.0622, recall: 0.401, relative_absolute_error: 41.6929, root_mean_prior_squared_error: 0.0845, root_mean_squared_error: 0.7739, root_relative_squared_error: 9.1644, scimark_benchmark: 1703.587, usercpu_time_millis: 288370, usercpu_time_millis_testing: 530, usercpu_time_millis_training: 287840,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7542, f_measure: 0.993, kappa: 0.4232, kb_relative_information_score: 2046.6205, mean_absolute_error: 0.0062, mean_prior_absolute_error: 0.0144, number_of_instances: 9466, precision: 0.9933, predictive_accuracy: 0.9943, prior_entropy: 0.0622, recall: 0.9943, relative_absolute_error: 0.4293, root_mean_prior_squared_error: 0.0845, root_mean_squared_error: 0.0748, root_relative_squared_error: 0.8857, scimark_benchmark: 1665.974, usercpu_time_millis: 6078.125, usercpu_time_millis_testing: 46.875, usercpu_time_millis_training: 6031.25,
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable).
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.813, f_measure: 0.9636, kappa: 0.1174, kb_relative_information_score: -58344.8965, mean_absolute_error: 0.0588, mean_prior_absolute_error: 0.0144, number_of_instances: 9466, precision: 0.9903, predictive_accuracy: 0.9414, prior_entropy: 0.0622, recall: 0.9414, relative_absolute_error: 4.0961, root_mean_prior_squared_error: 0.0845, root_mean_squared_error: 0.2396, root_relative_squared_error: 2.8366, scimark_benchmark: 1347.216, usercpu_time_millis: 360, usercpu_time_millis_testing: 200, usercpu_time_millis_training: 160,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.9892, kb_relative_information_score: 1582.342, mean_absolute_error: 0.0072, mean_prior_absolute_error: 0.0144, number_of_instances: 9466, precision: 0.9857, predictive_accuracy: 0.9928, prior_entropy: 0.0622, recall: 0.9928, relative_absolute_error: 0.5, root_mean_prior_squared_error: 0.0845, root_mean_squared_error: 0.0848, root_relative_squared_error: 1.0036, scimark_benchmark: 1157.081, usercpu_time_millis: 7930, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 7910,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6421, f_measure: 0.9932, kappa: 0.4327, kb_relative_information_score: 2104.4905, mean_absolute_error: 0.0103, mean_prior_absolute_error: 0.0144, number_of_instances: 9466, precision: 0.9938, predictive_accuracy: 0.9945, prior_entropy: 0.0622, recall: 0.9945, relative_absolute_error: 0.7199, root_mean_prior_squared_error: 0.0845, root_mean_squared_error: 0.0731, root_relative_squared_error: 0.8655, scimark_benchmark: 1342.0994, usercpu_time_millis: 8070, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 8040,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8904, f_measure: 0.9925, kappa: 0.3891, kb_relative_information_score: -25214.488, mean_absolute_error: 0.0115, mean_prior_absolute_error: 0.0144, number_of_instances: 9466, precision: 0.9924, predictive_accuracy: 0.9938, prior_entropy: 0.0622, recall: 0.9938, relative_absolute_error: 0.7992, root_mean_prior_squared_error: 0.0845, root_mean_squared_error: 0.0781, root_relative_squared_error: 0.9252, scimark_benchmark: 1291.6287, usercpu_time_millis: 1060, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 1040,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9356, f_measure: 0.995, kappa: 0.6184, kb_relative_information_score: 47.3124, mean_absolute_error: 0.0059, mean_prior_absolute_error: 0.0144, number_of_instances: 9466, precision: 0.9948, predictive_accuracy: 0.9954, prior_entropy: 0.0622, recall: 0.9954, relative_absolute_error: 0.4103, root_mean_prior_squared_error: 0.0845, root_mean_squared_error: 0.0687, root_relative_squared_error: 0.8139, scimark_benchmark: 1331.5411, usercpu_time_millis: 12450, usercpu_time_millis_testing: 12330, usercpu_time_millis_training: 120,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9515, f_measure: 0.9927, kappa: 0.389, kb_relative_information_score: -18313.0767, mean_absolute_error: 0.0097, mean_prior_absolute_error: 0.0144, number_of_instances: 9466, precision: 0.9929, predictive_accuracy: 0.9941, prior_entropy: 0.0622, recall: 0.9941, relative_absolute_error: 0.6776, root_mean_prior_squared_error: 0.0845, root_mean_squared_error: 0.0752, root_relative_squared_error: 0.8906, scimark_benchmark: 1309.8969, usercpu_time_millis: 5160, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 5130,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9515, f_measure: 0.9927, kappa: 0.389, kb_relative_information_score: -18313.0767, mean_absolute_error: 0.0097, mean_prior_absolute_error: 0.0144, number_of_instances: 9466, precision: 0.9929, predictive_accuracy: 0.9941, prior_entropy: 0.0622, recall: 0.9941, relative_absolute_error: 0.6776, root_mean_prior_squared_error: 0.0845, root_mean_squared_error: 0.0752, root_relative_squared_error: 0.8906, scimark_benchmark: 1263.7789, usercpu_time_millis: 4690, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 4660,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6198, f_measure: 0.9924, kappa: 0.3932, kb_relative_information_score: 1547.851, mean_absolute_error: 0.0103, mean_prior_absolute_error: 0.0144, number_of_instances: 9466, precision: 0.9921, predictive_accuracy: 0.9936, prior_entropy: 0.0622, recall: 0.9936, relative_absolute_error: 0.7149, root_mean_prior_squared_error: 0.0845, root_mean_squared_error: 0.0769, root_relative_squared_error: 0.9103, scimark_benchmark: 1042.249, usercpu_time_millis: 1670, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 1640,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.9892, kb_relative_information_score: 1582.342, mean_absolute_error: 0.0072, mean_prior_absolute_error: 0.0144, number_of_instances: 9466, precision: 0.9857, predictive_accuracy: 0.9928, prior_entropy: 0.0622, recall: 0.9928, relative_absolute_error: 0.5, root_mean_prior_squared_error: 0.0845, root_mean_squared_error: 0.0848, root_relative_squared_error: 1.0036, scimark_benchmark: 1618.1738, usercpu_time_millis: 718.75, usercpu_time_millis_testing: 15.625, usercpu_time_millis_training: 703.125,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8788, f_measure: 0.9929, kappa: 0.4187, kb_relative_information_score: -24572.5873, mean_absolute_error: 0.0104, mean_prior_absolute_error: 0.0144, number_of_instances: 9466, precision: 0.9931, predictive_accuracy: 0.9942, prior_entropy: 0.0622, recall: 0.9942, relative_absolute_error: 0.7255, root_mean_prior_squared_error: 0.0845, root_mean_squared_error: 0.0742, root_relative_squared_error: 0.8784, scimark_benchmark: 1925.3565, usercpu_time_millis: 203.125, usercpu_time_millis_training: 203.125,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9088, f_measure: 0.9944, kappa: 0.5524, kb_relative_information_score: -14323.5272, mean_absolute_error: 0.008, mean_prior_absolute_error: 0.0144, number_of_instances: 9466, precision: 0.9947, predictive_accuracy: 0.9952, prior_entropy: 0.0622, recall: 0.9952, relative_absolute_error: 0.559, root_mean_prior_squared_error: 0.0845, root_mean_squared_error: 0.0639, root_relative_squared_error: 0.7564, scimark_benchmark: 1925.3565, usercpu_time_millis: 2031.25, usercpu_time_millis_testing: 93.75, usercpu_time_millis_training: 1937.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9515, f_measure: 0.9927, kappa: 0.389, kb_relative_information_score: -18313.0767, mean_absolute_error: 0.0097, mean_prior_absolute_error: 0.0144, number_of_instances: 9466, precision: 0.9929, predictive_accuracy: 0.9941, prior_entropy: 0.0622, recall: 0.9941, relative_absolute_error: 0.6776, root_mean_prior_squared_error: 0.0845, root_mean_squared_error: 0.0752, root_relative_squared_error: 0.8906, scimark_benchmark: 1040.958, usercpu_time_millis: 5910, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 5890,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8719, f_measure: 0.9867, kappa: 0.2162, kb_relative_information_score: -66983.9513, mean_absolute_error: 0.0226, mean_prior_absolute_error: 0.0144, number_of_instances: 9466, precision: 0.9891, predictive_accuracy: 0.9846, prior_entropy: 0.0622, recall: 0.9846, relative_absolute_error: 1.5754, root_mean_prior_squared_error: 0.0845, root_mean_squared_error: 0.1245, root_relative_squared_error: 1.474, scimark_benchmark: 1925.3565, usercpu_time_millis: 390.625, usercpu_time_millis_training: 390.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7182, f_measure: 0.9924, kappa: 0.3764, kb_relative_information_score: -10032.8622, mean_absolute_error: 0.0103, mean_prior_absolute_error: 0.0144, number_of_instances: 9466, precision: 0.9923, predictive_accuracy: 0.9938, prior_entropy: 0.0622, recall: 0.9938, relative_absolute_error: 0.7166, root_mean_prior_squared_error: 0.0845, root_mean_squared_error: 0.0778, root_relative_squared_error: 0.9217, scimark_benchmark: 1925.3565, usercpu_time_millis: 609.375, usercpu_time_millis_testing: 15.625, usercpu_time_millis_training: 593.75,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.813, f_measure: 0.9636, kappa: 0.1174, kb_relative_information_score: -58344.8965, mean_absolute_error: 0.0588, mean_prior_absolute_error: 0.0144, number_of_instances: 9466, precision: 0.9903, predictive_accuracy: 0.9414, prior_entropy: 0.0622, recall: 0.9414, relative_absolute_error: 4.0961, root_mean_prior_squared_error: 0.0845, root_mean_squared_error: 0.2396, root_relative_squared_error: 2.8366, scimark_benchmark: 1925.3565, usercpu_time_millis: 203.125, usercpu_time_millis_testing: 109.375, usercpu_time_millis_training: 93.75,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.9892, kb_relative_information_score: 1582.342, mean_absolute_error: 0.0072, mean_prior_absolute_error: 0.0144, number_of_instances: 9466, precision: 0.9857, predictive_accuracy: 0.9928, prior_entropy: 0.0622, recall: 0.9928, relative_absolute_error: 0.5, root_mean_prior_squared_error: 0.0845, root_mean_squared_error: 0.0848, root_relative_squared_error: 1.0036, scimark_benchmark: 1925.3565, usercpu_time_millis: 1187.5, usercpu_time_millis_testing: 15.625, usercpu_time_millis_training: 1171.875,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.9892, kb_relative_information_score: 1582.342, mean_absolute_error: 0.0072, mean_prior_absolute_error: 0.0144, number_of_instances: 9466, precision: 0.9857, predictive_accuracy: 0.9928, prior_entropy: 0.0622, recall: 0.9928, relative_absolute_error: 0.5, root_mean_prior_squared_error: 0.0845, root_mean_squared_error: 0.0848, root_relative_squared_error: 1.0036, scimark_benchmark: 1925.3565, usercpu_time_millis: 531.25, usercpu_time_millis_training: 531.25,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6419, f_measure: 0.9933, kappa: 0.4375, kb_relative_information_score: 2103.2853, mean_absolute_error: 0.0103, mean_prior_absolute_error: 0.0144, number_of_instances: 9466, precision: 0.994, predictive_accuracy: 0.9946, prior_entropy: 0.0622, recall: 0.9946, relative_absolute_error: 0.7178, root_mean_prior_squared_error: 0.0845, root_mean_squared_error: 0.0731, root_relative_squared_error: 0.8656, scimark_benchmark: 1925.3565, usercpu_time_millis: 5328.125, usercpu_time_millis_testing: 31.25, usercpu_time_millis_training: 5296.875,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8904, f_measure: 0.9925, kappa: 0.3891, kb_relative_information_score: -25214.488, mean_absolute_error: 0.0115, mean_prior_absolute_error: 0.0144, number_of_instances: 9466, precision: 0.9924, predictive_accuracy: 0.9938, prior_entropy: 0.0622, recall: 0.9938, relative_absolute_error: 0.7992, root_mean_prior_squared_error: 0.0845, root_mean_squared_error: 0.0781, root_relative_squared_error: 0.9252, scimark_benchmark: 1925.3565, usercpu_time_millis: 671.875, usercpu_time_millis_testing: 15.625, usercpu_time_millis_training: 656.25,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9356, f_measure: 0.995, kappa: 0.6184, kb_relative_information_score: 47.3124, mean_absolute_error: 0.0059, mean_prior_absolute_error: 0.0144, number_of_instances: 9466, precision: 0.9948, predictive_accuracy: 0.9954, prior_entropy: 0.0622, recall: 0.9954, relative_absolute_error: 0.4103, root_mean_prior_squared_error: 0.0845, root_mean_squared_error: 0.0687, root_relative_squared_error: 0.8139, scimark_benchmark: 1925.3565, usercpu_time_millis: 6062.5, usercpu_time_millis_testing: 5984.375, usercpu_time_millis_training: 78.125,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6426, f_measure: 0.9923, kappa: 0.3771, kb_relative_information_score: 1400.0287, mean_absolute_error: 0.0105, mean_prior_absolute_error: 0.0144, number_of_instances: 9466, precision: 0.9919, predictive_accuracy: 0.9935, prior_entropy: 0.0622, recall: 0.9935, relative_absolute_error: 0.7306, root_mean_prior_squared_error: 0.0845, root_mean_squared_error: 0.0786, root_relative_squared_error: 0.9311, scimark_benchmark: 1892.0925, usercpu_time_millis: 531.25, usercpu_time_millis_training: 531.25,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8786, f_measure: 0.9929, kappa: 0.4142, kb_relative_information_score: -24878.2298, mean_absolute_error: 0.0105, mean_prior_absolute_error: 0.0144, number_of_instances: 9466, precision: 0.9929, predictive_accuracy: 0.9941, prior_entropy: 0.0622, recall: 0.9941, relative_absolute_error: 0.7343, root_mean_prior_squared_error: 0.0845, root_mean_squared_error: 0.0746, root_relative_squared_error: 0.8834, scimark_benchmark: 1892.0925, usercpu_time_millis: 781.25, usercpu_time_millis_training: 781.25,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9231, f_measure: 0.9943, kappa: 0.5468, kb_relative_information_score: -14272.8414, mean_absolute_error: 0.008, mean_prior_absolute_error: 0.0144, number_of_instances: 9466, precision: 0.9945, predictive_accuracy: 0.9951, prior_entropy: 0.0622, recall: 0.9951, relative_absolute_error: 0.5586, root_mean_prior_squared_error: 0.0845, root_mean_squared_error: 0.0643, root_relative_squared_error: 0.7611, scimark_benchmark: 1892.0925, usercpu_time_millis: 2593.75, usercpu_time_millis_testing: 218.75, usercpu_time_millis_training: 2375,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8719, f_measure: 0.9867, kappa: 0.2162, kb_relative_information_score: -66983.9513, mean_absolute_error: 0.0226, mean_prior_absolute_error: 0.0144, number_of_instances: 9466, precision: 0.9891, predictive_accuracy: 0.9846, prior_entropy: 0.0622, recall: 0.9846, relative_absolute_error: 1.5754, root_mean_prior_squared_error: 0.0845, root_mean_squared_error: 0.1245, root_relative_squared_error: 1.474, scimark_benchmark: 1892.0925, usercpu_time_millis: 343.75, usercpu_time_millis_testing: 15.625, usercpu_time_millis_training: 328.125,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7182, f_measure: 0.9924, kappa: 0.3764, kb_relative_information_score: -10032.8622, mean_absolute_error: 0.0103, mean_prior_absolute_error: 0.0144, number_of_instances: 9466, precision: 0.9923, predictive_accuracy: 0.9938, prior_entropy: 0.0622, recall: 0.9938, relative_absolute_error: 0.7166, root_mean_prior_squared_error: 0.0845, root_mean_squared_error: 0.0778, root_relative_squared_error: 0.9217, scimark_benchmark: 1892.0925, usercpu_time_millis: 406.25, usercpu_time_millis_training: 406.25,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6312, f_measure: 0.9928, kappa: 0.4019, kb_relative_information_score: 2047.236, mean_absolute_error: 0.01, mean_prior_absolute_error: 0.0144, number_of_instances: 9466, precision: 0.9929, predictive_accuracy: 0.9941, prior_entropy: 0.0622, recall: 0.9941, relative_absolute_error: 0.698, root_mean_prior_squared_error: 0.0845, root_mean_squared_error: 0.0757, root_relative_squared_error: 0.8962, scimark_benchmark: 1834.908, usercpu_time_millis: 921.875, usercpu_time_millis_training: 921.875,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6399, f_measure: 0.9933, kappa: 0.4375, kb_relative_information_score: 2073.2378, mean_absolute_error: 0.0103, mean_prior_absolute_error: 0.0144, number_of_instances: 9466, precision: 0.994, predictive_accuracy: 0.9946, prior_entropy: 0.0622, recall: 0.9946, relative_absolute_error: 0.72, root_mean_prior_squared_error: 0.0845, root_mean_squared_error: 0.0731, root_relative_squared_error: 0.8659, scimark_benchmark: 1834.908, usercpu_time_millis: 5000, usercpu_time_millis_testing: 46.875, usercpu_time_millis_training: 4953.125,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9515, f_measure: 0.9927, kappa: 0.389, kb_relative_information_score: -18313.0767, mean_absolute_error: 0.0097, mean_prior_absolute_error: 0.0144, number_of_instances: 9466, precision: 0.9929, predictive_accuracy: 0.9941, prior_entropy: 0.0622, recall: 0.9941, relative_absolute_error: 0.6776, root_mean_prior_squared_error: 0.0845, root_mean_squared_error: 0.0752, root_relative_squared_error: 0.8906, scimark_benchmark: 1834.908, usercpu_time_millis: 3734.375, usercpu_time_millis_testing: 15.625, usercpu_time_millis_training: 3718.75,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9515, f_measure: 0.9927, kappa: 0.389, kb_relative_information_score: -18313.0767, mean_absolute_error: 0.0097, mean_prior_absolute_error: 0.0144, number_of_instances: 9466, precision: 0.9929, predictive_accuracy: 0.9941, prior_entropy: 0.0622, recall: 0.9941, relative_absolute_error: 0.6776, root_mean_prior_squared_error: 0.0845, root_mean_squared_error: 0.0752, root_relative_squared_error: 0.8906, scimark_benchmark: 1788.6668, usercpu_time_millis: 3703.125, usercpu_time_millis_testing: 15.625, usercpu_time_millis_training: 3687.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.93, f_measure: 0.9907, kappa: 0.178, kb_relative_information_score: -30240.2321, mean_absolute_error: 0.0121, mean_prior_absolute_error: 0.0144, number_of_instances: 9466, precision: 0.9914, predictive_accuracy: 0.9932, prior_entropy: 0.0622, recall: 0.9932, relative_absolute_error: 0.8453, root_mean_prior_squared_error: 0.0845, root_mean_squared_error: 0.0786, root_relative_squared_error: 0.9304, scimark_benchmark: 1788.6668, usercpu_time_millis: 656.25, usercpu_time_millis_testing: 15.625, usercpu_time_millis_training: 640.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6091, f_measure: 0.9923, kappa: 0.3592, kb_relative_information_score: 1449.728, mean_absolute_error: 0.0111, mean_prior_absolute_error: 0.0144, number_of_instances: 9466, precision: 0.9922, predictive_accuracy: 0.9937, prior_entropy: 0.0622, recall: 0.9937, relative_absolute_error: 0.7725, root_mean_prior_squared_error: 0.0845, root_mean_squared_error: 0.0777, root_relative_squared_error: 0.9205, scimark_benchmark: 1788.6668, usercpu_time_millis: 218.75, usercpu_time_millis_training: 218.75,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6047, f_measure: 0.9924, kappa: 0.3672, kb_relative_information_score: 493.0671, mean_absolute_error: 0.0111, mean_prior_absolute_error: 0.0144, number_of_instances: 9466, precision: 0.9925, predictive_accuracy: 0.9939, prior_entropy: 0.0622, recall: 0.9939, relative_absolute_error: 0.7699, root_mean_prior_squared_error: 0.0845, root_mean_squared_error: 0.0772, root_relative_squared_error: 0.9137, scimark_benchmark: 1788.6668, usercpu_time_millis: 2296.875, usercpu_time_millis_testing: 15.625, usercpu_time_millis_training: 2281.25,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.9892, kb_relative_information_score: 1582.342, mean_absolute_error: 0.0072, mean_prior_absolute_error: 0.0144, number_of_instances: 9466, precision: 0.9857, predictive_accuracy: 0.9928, prior_entropy: 0.0622, recall: 0.9928, relative_absolute_error: 0.5, root_mean_prior_squared_error: 0.0845, root_mean_squared_error: 0.0848, root_relative_squared_error: 1.0036, scimark_benchmark: 1231.9756, usercpu_time_millis: 2130, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 2120,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6312, f_measure: 0.9928, kappa: 0.4019, kb_relative_information_score: 2047.236, mean_absolute_error: 0.01, mean_prior_absolute_error: 0.0144, number_of_instances: 9466, precision: 0.9929, predictive_accuracy: 0.9941, prior_entropy: 0.0622, recall: 0.9941, relative_absolute_error: 0.698, root_mean_prior_squared_error: 0.0845, root_mean_squared_error: 0.0757, root_relative_squared_error: 0.8962, scimark_benchmark: 909.752, usercpu_time_millis: 1680, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 1660,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9361, f_measure: 0.9929, kappa: 0.4063, kb_relative_information_score: -8351.4226, mean_absolute_error: 0.009, mean_prior_absolute_error: 0.0144, number_of_instances: 9466, precision: 0.9931, predictive_accuracy: 0.9942, prior_entropy: 0.0622, recall: 0.9942, relative_absolute_error: 0.6292, root_mean_prior_squared_error: 0.0845, root_mean_squared_error: 0.0746, root_relative_squared_error: 0.8831, scimark_benchmark: 1447.2612, usercpu_time_millis: 12000, usercpu_time_millis_testing: 12000,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9108, f_measure: 0.9924, kappa: 0.3672, kb_relative_information_score: -14892.4279, mean_absolute_error: 0.0096, mean_prior_absolute_error: 0.0144, number_of_instances: 9466, precision: 0.9925, predictive_accuracy: 0.9939, prior_entropy: 0.0622, recall: 0.9939, relative_absolute_error: 0.6714, root_mean_prior_squared_error: 0.0845, root_mean_squared_error: 0.075, root_relative_squared_error: 0.8885, scimark_benchmark: 1447.2612, usercpu_time_millis: 6843.75, usercpu_time_millis_testing: 6718.75, usercpu_time_millis_training: 125,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9068, f_measure: 0.9923, kappa: 0.3631, kb_relative_information_score: -7372.1491, mean_absolute_error: 0.009, mean_prior_absolute_error: 0.0144, number_of_instances: 9466, precision: 0.9923, predictive_accuracy: 0.9938, prior_entropy: 0.0622, recall: 0.9938, relative_absolute_error: 0.6251, root_mean_prior_squared_error: 0.0845, root_mean_squared_error: 0.0753, root_relative_squared_error: 0.8911, scimark_benchmark: 1840.6094, usercpu_time_millis: 7218.75, usercpu_time_millis_testing: 7000, usercpu_time_millis_training: 218.75,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9422, f_measure: 0.9931, kappa: 0.4351, kb_relative_information_score: -3161.4073, mean_absolute_error: 0.0079, mean_prior_absolute_error: 0.0144, number_of_instances: 9466, precision: 0.9933, predictive_accuracy: 0.9943, prior_entropy: 0.0622, recall: 0.9943, relative_absolute_error: 0.5501, root_mean_prior_squared_error: 0.0845, root_mean_squared_error: 0.0728, root_relative_squared_error: 0.8623, scimark_benchmark: 1840.6094, usercpu_time_millis: 9062.5, usercpu_time_millis_testing: 9062.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9409, f_measure: 0.9926, kappa: 0.3756, kb_relative_information_score: -15972.8003, mean_absolute_error: 0.0099, mean_prior_absolute_error: 0.0144, number_of_instances: 9466, precision: 0.993, predictive_accuracy: 0.9941, prior_entropy: 0.0622, recall: 0.9941, relative_absolute_error: 0.6917, root_mean_prior_squared_error: 0.0845, root_mean_squared_error: 0.0753, root_relative_squared_error: 0.8911, scimark_benchmark: 1873.1108, usercpu_time_millis: 13187.5, usercpu_time_millis_testing: 13171.875, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9068, f_measure: 0.9926, kappa: 0.3756, kb_relative_information_score: -10478.6526, mean_absolute_error: 0.0093, mean_prior_absolute_error: 0.0144, number_of_instances: 9466, precision: 0.993, predictive_accuracy: 0.9941, prior_entropy: 0.0622, recall: 0.9941, relative_absolute_error: 0.6473, root_mean_prior_squared_error: 0.0845, root_mean_squared_error: 0.0753, root_relative_squared_error: 0.8918, scimark_benchmark: 1873.1108, usercpu_time_millis: 6578.125, usercpu_time_millis_testing: 6453.125, usercpu_time_millis_training: 125,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6028, f_measure: 0.9922, kappa: 0.3275, kb_relative_information_score: 2839.4759, mean_absolute_error: 0.006, mean_prior_absolute_error: 0.0144, number_of_instances: 9466, precision: 0.9931, predictive_accuracy: 0.994, prior_entropy: 0.0622, recall: 0.994, relative_absolute_error: 0.4191, root_mean_prior_squared_error: 0.0845, root_mean_squared_error: 0.0776, root_relative_squared_error: 0.9189,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.9892, kb_relative_information_score: 1582.342, mean_absolute_error: 0.0072, mean_prior_absolute_error: 0.0144, number_of_instances: 9466, precision: 0.9857, predictive_accuracy: 0.9928, prior_entropy: 0.0622, recall: 0.9928, relative_absolute_error: 0.5, root_mean_prior_squared_error: 0.0845, root_mean_squared_error: 0.0848, root_relative_squared_error: 1.0036,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.9892, kb_relative_information_score: 1582.342, mean_absolute_error: 0.0072, mean_prior_absolute_error: 0.0144, number_of_instances: 9466, precision: 0.9857, predictive_accuracy: 0.9928, prior_entropy: 0.0622, recall: 0.9928, relative_absolute_error: 0.5, root_mean_prior_squared_error: 0.0845, root_mean_squared_error: 0.0848, root_relative_squared_error: 1.0036, scimark_benchmark: 1870.7932, usercpu_time_millis: 265.2017, usercpu_time_millis_training: 265.2017,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.9892, kb_relative_information_score: 1582.342, mean_absolute_error: 0.0072, mean_prior_absolute_error: 0.0144, number_of_instances: 9466, precision: 0.9857, predictive_accuracy: 0.9928, prior_entropy: 0.0622, recall: 0.9928, relative_absolute_error: 0.5, root_mean_prior_squared_error: 0.0845, root_mean_squared_error: 0.0848, root_relative_squared_error: 1.0036, scimark_benchmark: 1870.7932, usercpu_time_millis: 421.2027, usercpu_time_millis_testing: 15.6001, usercpu_time_millis_training: 405.6026,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8619, f_measure: 0.9925, kappa: 0.3713, kb_relative_information_score: -34839.4507, mean_absolute_error: 0.0112, mean_prior_absolute_error: 0.0144, number_of_instances: 9466, precision: 0.9928, predictive_accuracy: 0.994, prior_entropy: 0.0622, recall: 0.994, relative_absolute_error: 0.7813, root_mean_prior_squared_error: 0.0845, root_mean_squared_error: 0.0765, root_relative_squared_error: 0.906, scimark_benchmark: 1870.7932, usercpu_time_millis: 109.2007, usercpu_time_millis_training: 109.2007,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8766, f_measure: 0.9929, kappa: 0.4142, kb_relative_information_score: -24021.451, mean_absolute_error: 0.0104, mean_prior_absolute_error: 0.0144, number_of_instances: 9466, precision: 0.9929, predictive_accuracy: 0.9941, prior_entropy: 0.0622, recall: 0.9941, relative_absolute_error: 0.7238, root_mean_prior_squared_error: 0.0845, root_mean_squared_error: 0.0751, root_relative_squared_error: 0.889, scimark_benchmark: 1870.7932, usercpu_time_millis: 62.4004, usercpu_time_millis_testing: 15.6001, usercpu_time_millis_training: 46.8003,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7917, f_measure: 0.9536, kappa: 0.0373, kb_relative_information_score: -107176.6403, mean_absolute_error: 0.0489, mean_prior_absolute_error: 0.0144, number_of_instances: 9466, precision: 0.9875, predictive_accuracy: 0.9235, prior_entropy: 0.0622, recall: 0.9235, relative_absolute_error: 3.4008, root_mean_prior_squared_error: 0.0845, root_mean_squared_error: 0.1612, root_relative_squared_error: 1.9087, scimark_benchmark: 1870.7932, usercpu_time_millis: 124.8008, usercpu_time_millis_testing: 15.6001, usercpu_time_millis_training: 109.2007,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8641, f_measure: 0.9928, kappa: 0.3934, kb_relative_information_score: -57952.386, mean_absolute_error: 0.0119, mean_prior_absolute_error: 0.0144, number_of_instances: 9466, precision: 0.9932, predictive_accuracy: 0.9942, prior_entropy: 0.0622, recall: 0.9942, relative_absolute_error: 0.8249, root_mean_prior_squared_error: 0.0845, root_mean_squared_error: 0.076, root_relative_squared_error: 0.8994, scimark_benchmark: 1870.7932, usercpu_time_millis: 218.4014, usercpu_time_millis_testing: 15.6001, usercpu_time_millis_training: 202.8013,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8556, f_measure: 0.9741, kappa: 0.1449, kb_relative_information_score: -44264.7767, mean_absolute_error: 0.0401, mean_prior_absolute_error: 0.0144, number_of_instances: 9466, precision: 0.9898, predictive_accuracy: 0.9609, prior_entropy: 0.0622, recall: 0.9609, relative_absolute_error: 2.7933, root_mean_prior_squared_error: 0.0845, root_mean_squared_error: 0.1894, root_relative_squared_error: 2.2421, scimark_benchmark: 1732.2066, usercpu_time_millis: 234.0015, usercpu_time_millis_testing: 31.2002, usercpu_time_millis_training: 202.8013,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.813, f_measure: 0.9636, kappa: 0.1174, kb_relative_information_score: -58344.8965, mean_absolute_error: 0.0588, mean_prior_absolute_error: 0.0144, number_of_instances: 9466, precision: 0.9903, predictive_accuracy: 0.9414, prior_entropy: 0.0622, recall: 0.9414, relative_absolute_error: 4.0961, root_mean_prior_squared_error: 0.0845, root_mean_squared_error: 0.2396, root_relative_squared_error: 2.8366, scimark_benchmark: 1732.2066, usercpu_time_millis: 202.8013, usercpu_time_millis_testing: 140.4009, usercpu_time_millis_training: 62.4004,

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