OpenML
Supervised Classification on jEdit_4.0_4.2

Supervised Classification on jEdit_4.0_4.2

Task 3921 Supervised Classification jEdit_4.0_4.2 551 runs submitted
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  • mythbusting_1 study_1 study_107 study_123 study_15 study_20 study_41 study_7 under100k under1m
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7346, f_measure: 0.7331, kappa: 0.4682, kb_relative_information_score: 127.899, mean_absolute_error: 0.2664, mean_prior_absolute_error: 0.4998, number_of_instances: 274, precision: 0.737, predictive_accuracy: 0.7336, prior_entropy: 0.9997, recall: 0.7336, relative_absolute_error: 0.5331, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.5162, root_relative_squared_error: 1.0326,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7122, f_measure: 0.6364, kappa: 0.3067, kb_relative_information_score: 73.6257, mean_absolute_error: 0.3708, mean_prior_absolute_error: 0.4998, number_of_instances: 274, precision: 0.694, predictive_accuracy: 0.6569, prior_entropy: 0.9997, recall: 0.6569, relative_absolute_error: 0.7419, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.5174, root_relative_squared_error: 1.035, scimark_benchmark: 1732.2066,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7123, f_measure: 0.6577, kappa: 0.3372, kb_relative_information_score: 88.2303, mean_absolute_error: 0.3444, mean_prior_absolute_error: 0.4998, number_of_instances: 274, precision: 0.6977, predictive_accuracy: 0.6715, prior_entropy: 0.9997, recall: 0.6715, relative_absolute_error: 0.6891, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.5071, root_relative_squared_error: 1.0144, scimark_benchmark: 1732.2066,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7671, f_measure: 0.7663, kappa: 0.5334, kb_relative_information_score: 145.9113, mean_absolute_error: 0.2336, mean_prior_absolute_error: 0.4998, number_of_instances: 274, precision: 0.7682, predictive_accuracy: 0.7664, prior_entropy: 0.9997, recall: 0.7664, relative_absolute_error: 0.4674, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4833, root_relative_squared_error: 0.9668,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7122, f_measure: 0.6364, kappa: 0.3067, kb_relative_information_score: 73.6257, mean_absolute_error: 0.3708, mean_prior_absolute_error: 0.4998, number_of_instances: 274, precision: 0.694, predictive_accuracy: 0.6569, prior_entropy: 0.9997, recall: 0.6569, relative_absolute_error: 0.7419, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.5174, root_relative_squared_error: 1.035, scimark_benchmark: 1887.4343,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7457, f_measure: 0.7074, kappa: 0.4148, kb_relative_information_score: 89.0769, mean_absolute_error: 0.3502, mean_prior_absolute_error: 0.4998, number_of_instances: 274, precision: 0.7087, predictive_accuracy: 0.708, prior_entropy: 0.9997, recall: 0.708, relative_absolute_error: 0.7008, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4614, root_relative_squared_error: 0.923, scimark_benchmark: 1806.5905,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7655, f_measure: 0.7336, kappa: 0.4668, kb_relative_information_score: 105.7009, mean_absolute_error: 0.3187, mean_prior_absolute_error: 0.4998, number_of_instances: 274, precision: 0.7335, predictive_accuracy: 0.7336, prior_entropy: 0.9997, recall: 0.7336, relative_absolute_error: 0.6377, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4549, root_relative_squared_error: 0.9101, scimark_benchmark: 1806.5905,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8361, f_measure: 0.7592, kappa: 0.5182, kb_relative_information_score: 116.03, mean_absolute_error: 0.2988, mean_prior_absolute_error: 0.4998, number_of_instances: 274, precision: 0.7593, predictive_accuracy: 0.7591, prior_entropy: 0.9997, recall: 0.7591, relative_absolute_error: 0.5979, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4073, root_relative_squared_error: 0.8147, scimark_benchmark: 1806.5905, usercpu_time_millis: 46.8003, usercpu_time_millis_training: 46.8003,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8211, f_measure: 0.7844, kappa: 0.57, kb_relative_information_score: 111.7049, mean_absolute_error: 0.3086, mean_prior_absolute_error: 0.4998, number_of_instances: 274, precision: 0.7877, predictive_accuracy: 0.7847, prior_entropy: 0.9997, recall: 0.7847, relative_absolute_error: 0.6175, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4135, root_relative_squared_error: 0.8273, scimark_benchmark: 1806.5905, usercpu_time_millis: 46.8003, usercpu_time_millis_training: 46.8003,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6888, f_measure: 0.6958, kappa: 0.3924, kb_relative_information_score: 107.2763, mean_absolute_error: 0.3045, mean_prior_absolute_error: 0.4998, number_of_instances: 274, precision: 0.6987, predictive_accuracy: 0.6971, prior_entropy: 0.9997, recall: 0.6971, relative_absolute_error: 0.6092, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.5482, root_relative_squared_error: 1.0966, scimark_benchmark: 1806.5905, usercpu_time_millis: 15.6001, usercpu_time_millis_training: 15.6001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6655, f_measure: 0.6605, kappa: 0.3205, kb_relative_information_score: 87.3835, mean_absolute_error: 0.3406, mean_prior_absolute_error: 0.4998, number_of_instances: 274, precision: 0.6605, predictive_accuracy: 0.6606, prior_entropy: 0.9997, recall: 0.6606, relative_absolute_error: 0.6816, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.5803, root_relative_squared_error: 1.1608, scimark_benchmark: 1806.5905,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7122, f_measure: 0.6364, kappa: 0.3067, kb_relative_information_score: 73.6257, mean_absolute_error: 0.3708, mean_prior_absolute_error: 0.4998, number_of_instances: 274, precision: 0.694, predictive_accuracy: 0.6569, prior_entropy: 0.9997, recall: 0.6569, relative_absolute_error: 0.7419, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.5174, root_relative_squared_error: 1.035, scimark_benchmark: 1877.5305,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7123, f_measure: 0.6577, kappa: 0.3372, kb_relative_information_score: 88.2303, mean_absolute_error: 0.3444, mean_prior_absolute_error: 0.4998, number_of_instances: 274, precision: 0.6977, predictive_accuracy: 0.6715, prior_entropy: 0.9997, recall: 0.6715, relative_absolute_error: 0.6891, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.5071, root_relative_squared_error: 1.0144, scimark_benchmark: 1850.8887,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.491, f_measure: 0.3456, kb_relative_information_score: -0.0147, mean_absolute_error: 0.4998, mean_prior_absolute_error: 0.4998, number_of_instances: 274, precision: 0.2611, predictive_accuracy: 0.5109, prior_entropy: 0.9997, recall: 0.5109, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4999, root_relative_squared_error: 1, scimark_benchmark: 1850.8887,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7415, f_measure: 0.7408, kappa: 0.4822, kb_relative_information_score: 131.9018, mean_absolute_error: 0.2591, mean_prior_absolute_error: 0.4998, number_of_instances: 274, precision: 0.7423, predictive_accuracy: 0.7409, prior_entropy: 0.9997, recall: 0.7409, relative_absolute_error: 0.5185, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.509, root_relative_squared_error: 1.0183, usercpu_time_millis: 388.465, usercpu_time_millis_testing: 6.237, usercpu_time_millis_training: 382.228,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7269, f_measure: 0.7262, kappa: 0.4531, kb_relative_information_score: 123.8963, mean_absolute_error: 0.2737, mean_prior_absolute_error: 0.4998, number_of_instances: 274, precision: 0.7277, predictive_accuracy: 0.7263, prior_entropy: 0.9997, recall: 0.7263, relative_absolute_error: 0.5477, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.5232, root_relative_squared_error: 1.0466, usercpu_time_millis: 16.99, usercpu_time_millis_testing: 0.427, usercpu_time_millis_training: 16.563,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7107, f_measure: 0.711, kappa: 0.4221, kb_relative_information_score: 115.8909, mean_absolute_error: 0.2883, mean_prior_absolute_error: 0.4998, number_of_instances: 274, precision: 0.7125, predictive_accuracy: 0.7117, prior_entropy: 0.9997, recall: 0.7117, relative_absolute_error: 0.5769, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.537, root_relative_squared_error: 1.0742, usercpu_time_millis: 103.367, usercpu_time_millis_testing: 0.199, usercpu_time_millis_training: 103.168,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6808, f_measure: 0.6766, kappa: 0.36, kb_relative_information_score: 97.8786, mean_absolute_error: 0.3212, mean_prior_absolute_error: 0.4998, number_of_instances: 274, precision: 0.6868, predictive_accuracy: 0.6788, prior_entropy: 0.9997, recall: 0.6788, relative_absolute_error: 0.6426, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.5667, root_relative_squared_error: 1.1337, usercpu_time_millis: 0.577, usercpu_time_millis_testing: 0.022, usercpu_time_millis_training: 0.555,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7327, f_measure: 0.7331, kappa: 0.4661, kb_relative_information_score: 127.899, mean_absolute_error: 0.2664, mean_prior_absolute_error: 0.4998, number_of_instances: 274, precision: 0.7342, predictive_accuracy: 0.7336, prior_entropy: 0.9997, recall: 0.7336, relative_absolute_error: 0.5331, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.5162, root_relative_squared_error: 1.0326, usercpu_time_millis: 0.336, usercpu_time_millis_testing: 0.051, usercpu_time_millis_training: 0.285,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6901, f_measure: 0.6857, kappa: 0.3826, kb_relative_information_score: 105.884, mean_absolute_error: 0.3066, mean_prior_absolute_error: 0.4998, number_of_instances: 274, precision: 0.7095, predictive_accuracy: 0.6934, prior_entropy: 0.9997, recall: 0.6934, relative_absolute_error: 0.6134, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.5537, root_relative_squared_error: 1.1076, usercpu_time_millis: 0.243, usercpu_time_millis_testing: 0.021, usercpu_time_millis_training: 0.222,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4985, f_measure: 0.4915, kappa: -0.003, kb_relative_information_score: -2.1896, mean_absolute_error: 0.5037, mean_prior_absolute_error: 0.4998, number_of_instances: 274, precision: 0.4987, predictive_accuracy: 0.4964, prior_entropy: 0.9997, recall: 0.4964, relative_absolute_error: 1.0078, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.7097, root_relative_squared_error: 1.4197, usercpu_time_millis: 0.239, usercpu_time_millis_testing: 0.02, usercpu_time_millis_training: 0.219,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6413, f_measure: 0.6281, kappa: 0.2851, kb_relative_information_score: 79.8663, mean_absolute_error: 0.354, mean_prior_absolute_error: 0.4998, number_of_instances: 274, precision: 0.6733, predictive_accuracy: 0.646, prior_entropy: 0.9997, recall: 0.646, relative_absolute_error: 0.7084, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.595, root_relative_squared_error: 1.1903, usercpu_time_millis: 0.165, usercpu_time_millis_testing: 0.016, usercpu_time_millis_training: 0.149,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7527, f_measure: 0.7516, kappa: 0.5044, kb_relative_information_score: 137.9059, mean_absolute_error: 0.2482, mean_prior_absolute_error: 0.4998, number_of_instances: 274, precision: 0.7542, predictive_accuracy: 0.7518, prior_entropy: 0.9997, recall: 0.7518, relative_absolute_error: 0.4966, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4982, root_relative_squared_error: 0.9966, usercpu_time_millis: 0.114, usercpu_time_millis_testing: 0.028, usercpu_time_millis_training: 0.086,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6821, f_measure: 0.6749, kappa: 0.3671, kb_relative_information_score: 101.8813, mean_absolute_error: 0.3139, mean_prior_absolute_error: 0.4998, number_of_instances: 274, precision: 0.7099, predictive_accuracy: 0.6861, prior_entropy: 0.9997, recall: 0.6861, relative_absolute_error: 0.628, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.5602, root_relative_squared_error: 1.1207, usercpu_time_millis: 7.388, usercpu_time_millis_testing: 0.07, usercpu_time_millis_training: 7.318,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7379, f_measure: 0.7371, kappa: 0.475, kb_relative_information_score: 129.9004, mean_absolute_error: 0.2628, mean_prior_absolute_error: 0.4998, number_of_instances: 274, precision: 0.7389, predictive_accuracy: 0.7372, prior_entropy: 0.9997, recall: 0.7372, relative_absolute_error: 0.5258, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.5126, root_relative_squared_error: 1.0255, usercpu_time_millis: 2.708, usercpu_time_millis_testing: 0.335, usercpu_time_millis_training: 2.373,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7817, f_measure: 0.7809, kappa: 0.5625, kb_relative_information_score: 153.9168, mean_absolute_error: 0.219, mean_prior_absolute_error: 0.4998, number_of_instances: 274, precision: 0.7829, predictive_accuracy: 0.781, prior_entropy: 0.9997, recall: 0.781, relative_absolute_error: 0.4382, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.468, root_relative_squared_error: 0.9361, usercpu_time_millis: 13.665, usercpu_time_millis_testing: 2.776, usercpu_time_millis_training: 10.889,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7738, f_measure: 0.7737, kappa: 0.5474, kb_relative_information_score: 149.9141, mean_absolute_error: 0.2263, mean_prior_absolute_error: 0.4998, number_of_instances: 274, precision: 0.7739, predictive_accuracy: 0.7737, prior_entropy: 0.9997, recall: 0.7737, relative_absolute_error: 0.4528, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4757, root_relative_squared_error: 0.9516, usercpu_time_millis: 3.354, usercpu_time_millis_testing: 0.755, usercpu_time_millis_training: 2.599,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7816, f_measure: 0.781, kappa: 0.5624, kb_relative_information_score: 153.9168, mean_absolute_error: 0.219, mean_prior_absolute_error: 0.4998, number_of_instances: 274, precision: 0.7823, predictive_accuracy: 0.781, prior_entropy: 0.9997, recall: 0.781, relative_absolute_error: 0.4382, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.468, root_relative_squared_error: 0.9361, usercpu_time_millis: 1.699, usercpu_time_millis_testing: 0.215, usercpu_time_millis_training: 1.484,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7142, f_measure: 0.7145, kappa: 0.4293, kb_relative_information_score: 117.8922, mean_absolute_error: 0.2847, mean_prior_absolute_error: 0.4998, number_of_instances: 274, precision: 0.7164, predictive_accuracy: 0.7153, prior_entropy: 0.9997, recall: 0.7153, relative_absolute_error: 0.5696, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.5335, root_relative_squared_error: 1.0673, usercpu_time_millis: 0.862, usercpu_time_millis_testing: 0.062, usercpu_time_millis_training: 0.8,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7149, f_measure: 0.7152, kappa: 0.43, kb_relative_information_score: 117.8922, mean_absolute_error: 0.2847, mean_prior_absolute_error: 0.4998, number_of_instances: 274, precision: 0.7153, predictive_accuracy: 0.7153, prior_entropy: 0.9997, recall: 0.7153, relative_absolute_error: 0.5696, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.5335, root_relative_squared_error: 1.0673, usercpu_time_millis: 0.098, usercpu_time_millis_testing: 0.023, usercpu_time_millis_training: 0.075,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6259, f_measure: 0.6055, kappa: 0.2544, kb_relative_information_score: 71.8608, mean_absolute_error: 0.3686, mean_prior_absolute_error: 0.4998, number_of_instances: 274, precision: 0.6686, predictive_accuracy: 0.6314, prior_entropy: 0.9997, recall: 0.6314, relative_absolute_error: 0.7376, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.6071, root_relative_squared_error: 1.2146, usercpu_time_millis: 0.21, usercpu_time_millis_testing: 0.038, usercpu_time_millis_training: 0.172,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7144, f_measure: 0.7147, kappa: 0.4295, kb_relative_information_score: 117.8922, mean_absolute_error: 0.2847, mean_prior_absolute_error: 0.4998, number_of_instances: 274, precision: 0.716, predictive_accuracy: 0.7153, prior_entropy: 0.9997, recall: 0.7153, relative_absolute_error: 0.5696, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.5335, root_relative_squared_error: 1.0673, usercpu_time_millis: 3.152, usercpu_time_millis_testing: 0.043, usercpu_time_millis_training: 3.109,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.656, f_measure: 0.6446, kappa: 0.3148, kb_relative_information_score: 87.8718, mean_absolute_error: 0.3394, mean_prior_absolute_error: 0.4998, number_of_instances: 274, precision: 0.6885, predictive_accuracy: 0.6606, prior_entropy: 0.9997, recall: 0.6606, relative_absolute_error: 0.6792, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.5826, root_relative_squared_error: 1.1655, usercpu_time_millis: 1.359, usercpu_time_millis_testing: 0.028, usercpu_time_millis_training: 1.331,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7147, f_measure: 0.7151, kappa: 0.4298, kb_relative_information_score: 117.8922, mean_absolute_error: 0.2847, mean_prior_absolute_error: 0.4998, number_of_instances: 274, precision: 0.7155, predictive_accuracy: 0.7153, prior_entropy: 0.9997, recall: 0.7153, relative_absolute_error: 0.5696, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.5335, root_relative_squared_error: 1.0673, usercpu_time_millis: 2.381, usercpu_time_millis_testing: 0.857, usercpu_time_millis_training: 1.524,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6891, f_measure: 0.6894, kappa: 0.3786, kb_relative_information_score: 103.8827, mean_absolute_error: 0.3102, mean_prior_absolute_error: 0.4998, number_of_instances: 274, precision: 0.6899, predictive_accuracy: 0.6898, prior_entropy: 0.9997, recall: 0.6898, relative_absolute_error: 0.6207, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.557, root_relative_squared_error: 1.1142, usercpu_time_millis: 1.629, usercpu_time_millis_testing: 0.626, usercpu_time_millis_training: 1.003,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4942, f_measure: 0.4915, kappa: -0.0117, kb_relative_information_score: -2.1896, mean_absolute_error: 0.5037, mean_prior_absolute_error: 0.4998, number_of_instances: 274, precision: 0.4942, predictive_accuracy: 0.4964, prior_entropy: 0.9997, recall: 0.4964, relative_absolute_error: 1.0078, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.7097, root_relative_squared_error: 1.4197, usercpu_time_millis: 0.08, usercpu_time_millis_testing: 0.011, usercpu_time_millis_training: 0.069,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7144, f_measure: 0.7147, kappa: 0.4295, kb_relative_information_score: 117.8922, mean_absolute_error: 0.2847, mean_prior_absolute_error: 0.4998, number_of_instances: 274, precision: 0.716, predictive_accuracy: 0.7153, prior_entropy: 0.9997, recall: 0.7153, relative_absolute_error: 0.5696, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.5335, root_relative_squared_error: 1.0673, usercpu_time_millis: 0.204, usercpu_time_millis_testing: 0.053, usercpu_time_millis_training: 0.151,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6748, f_measure: 0.6673, kappa: 0.3524, kb_relative_information_score: 97.8786, mean_absolute_error: 0.3212, mean_prior_absolute_error: 0.4998, number_of_instances: 274, precision: 0.7015, predictive_accuracy: 0.6788, prior_entropy: 0.9997, recall: 0.6788, relative_absolute_error: 0.6426, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.5667, root_relative_squared_error: 1.1337, usercpu_time_millis: 0.365, usercpu_time_millis_testing: 0.226, usercpu_time_millis_training: 0.139,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6712, f_measure: 0.6715, kappa: 0.3425, kb_relative_information_score: 93.8759, mean_absolute_error: 0.3285, mean_prior_absolute_error: 0.4998, number_of_instances: 274, precision: 0.6715, predictive_accuracy: 0.6715, prior_entropy: 0.9997, recall: 0.6715, relative_absolute_error: 0.6572, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.5731, root_relative_squared_error: 1.1465, usercpu_time_millis: 0.378, usercpu_time_millis_testing: 0.052, usercpu_time_millis_training: 0.326,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4826, f_measure: 0.4398, kappa: -0.0353, kb_relative_information_score: -6.1924, mean_absolute_error: 0.5109, mean_prior_absolute_error: 0.4998, number_of_instances: 274, precision: 0.4738, predictive_accuracy: 0.4891, prior_entropy: 0.9997, recall: 0.4891, relative_absolute_error: 1.0224, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.7148, root_relative_squared_error: 1.43, usercpu_time_millis: 8.26, usercpu_time_millis_testing: 0.651, usercpu_time_millis_training: 7.609,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6995, f_measure: 0.6996, kappa: 0.3998, kb_relative_information_score: 109.8868, mean_absolute_error: 0.2993, mean_prior_absolute_error: 0.4998, number_of_instances: 274, precision: 0.7022, predictive_accuracy: 0.7007, prior_entropy: 0.9997, recall: 0.7007, relative_absolute_error: 0.5988, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.5471, root_relative_squared_error: 1.0944, usercpu_time_millis: 0.521, usercpu_time_millis_testing: 0.018, usercpu_time_millis_training: 0.503,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7068, f_measure: 0.7069, kappa: 0.4145, kb_relative_information_score: 113.8895, mean_absolute_error: 0.292, mean_prior_absolute_error: 0.4998, number_of_instances: 274, precision: 0.7096, predictive_accuracy: 0.708, prior_entropy: 0.9997, recall: 0.708, relative_absolute_error: 0.5842, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.5403, root_relative_squared_error: 1.0809, usercpu_time_millis: 0.104, usercpu_time_millis_testing: 0.014, usercpu_time_millis_training: 0.09,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7248, f_measure: 0.7248, kappa: 0.4508, kb_relative_information_score: 123.8963, mean_absolute_error: 0.2737, mean_prior_absolute_error: 0.4998, number_of_instances: 274, precision: 0.7291, predictive_accuracy: 0.7263, prior_entropy: 0.9997, recall: 0.7263, relative_absolute_error: 0.5477, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.5232, root_relative_squared_error: 1.0466, usercpu_time_millis: 0.053, usercpu_time_millis_testing: 0.01, usercpu_time_millis_training: 0.043,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7107, f_measure: 0.711, kappa: 0.4221, kb_relative_information_score: 115.8909, mean_absolute_error: 0.2883, mean_prior_absolute_error: 0.4998, number_of_instances: 274, precision: 0.7125, predictive_accuracy: 0.7117, prior_entropy: 0.9997, recall: 0.7117, relative_absolute_error: 0.5769, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.537, root_relative_squared_error: 1.0742, usercpu_time_millis: 1.004, usercpu_time_millis_testing: 0.055, usercpu_time_millis_training: 0.949,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7296, f_measure: 0.7299, kappa: 0.4594, kb_relative_information_score: 125.8977, mean_absolute_error: 0.2701, mean_prior_absolute_error: 0.4998, number_of_instances: 274, precision: 0.7299, predictive_accuracy: 0.7299, prior_entropy: 0.9997, recall: 0.7299, relative_absolute_error: 0.5404, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.5197, root_relative_squared_error: 1.0396, usercpu_time_millis: 0.175, usercpu_time_millis_testing: 0.163, usercpu_time_millis_training: 0.012,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7671, f_measure: 0.7663, kappa: 0.5334, kb_relative_information_score: 145.9113, mean_absolute_error: 0.2336, mean_prior_absolute_error: 0.4998, number_of_instances: 274, precision: 0.7682, predictive_accuracy: 0.7664, prior_entropy: 0.9997, recall: 0.7664, relative_absolute_error: 0.4674, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4833, root_relative_squared_error: 0.9668, usercpu_time_millis: 0.364, usercpu_time_millis_testing: 0.071, usercpu_time_millis_training: 0.293,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7334, f_measure: 0.7336, kappa: 0.4668, kb_relative_information_score: 127.899, mean_absolute_error: 0.2664, mean_prior_absolute_error: 0.4998, number_of_instances: 274, precision: 0.7335, predictive_accuracy: 0.7336, prior_entropy: 0.9997, recall: 0.7336, relative_absolute_error: 0.5331, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.5162, root_relative_squared_error: 1.0326, usercpu_time_millis: 2.477, usercpu_time_millis_testing: 0.904, usercpu_time_millis_training: 1.573,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7188, f_measure: 0.719, kappa: 0.4376, kb_relative_information_score: 119.8936, mean_absolute_error: 0.281, mean_prior_absolute_error: 0.4998, number_of_instances: 274, precision: 0.7189, predictive_accuracy: 0.719, prior_entropy: 0.9997, recall: 0.719, relative_absolute_error: 0.5623, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.5301, root_relative_squared_error: 1.0605, usercpu_time_millis: 2.341, usercpu_time_millis_testing: 0.763, usercpu_time_millis_training: 1.578,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6892, f_measure: 0.6896, kappa: 0.3788, kb_relative_information_score: 103.8827, mean_absolute_error: 0.3102, mean_prior_absolute_error: 0.4998, number_of_instances: 274, precision: 0.6898, predictive_accuracy: 0.6898, prior_entropy: 0.9997, recall: 0.6898, relative_absolute_error: 0.6207, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.557, root_relative_squared_error: 1.1142, usercpu_time_millis: 0.167, usercpu_time_millis_testing: 0.052, usercpu_time_millis_training: 0.115,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6602, f_measure: 0.6605, kappa: 0.3205, kb_relative_information_score: 87.8718, mean_absolute_error: 0.3394, mean_prior_absolute_error: 0.4998, number_of_instances: 274, precision: 0.6605, predictive_accuracy: 0.6606, prior_entropy: 0.9997, recall: 0.6606, relative_absolute_error: 0.6792, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.5826, root_relative_squared_error: 1.1655, usercpu_time_millis: 2.18, usercpu_time_millis_testing: 0.815, usercpu_time_millis_training: 1.365,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6945, f_measure: 0.6924, kappa: 0.3909, kb_relative_information_score: 107.8854, mean_absolute_error: 0.3029, mean_prior_absolute_error: 0.4998, number_of_instances: 274, precision: 0.7062, predictive_accuracy: 0.6971, prior_entropy: 0.9997, recall: 0.6971, relative_absolute_error: 0.6061, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.5504, root_relative_squared_error: 1.101, usercpu_time_millis: 1.485, usercpu_time_millis_testing: 0.101, usercpu_time_millis_training: 1.384,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6892, f_measure: 0.6896, kappa: 0.3788, kb_relative_information_score: 103.8827, mean_absolute_error: 0.3102, mean_prior_absolute_error: 0.4998, number_of_instances: 274, precision: 0.6898, predictive_accuracy: 0.6898, prior_entropy: 0.9997, recall: 0.6898, relative_absolute_error: 0.6207, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.557, root_relative_squared_error: 1.1142, usercpu_time_millis: 0.192, usercpu_time_millis_testing: 0.04, usercpu_time_millis_training: 0.152,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7022, f_measure: 0.7013, kappa: 0.4061, kb_relative_information_score: 111.8881, mean_absolute_error: 0.2956, mean_prior_absolute_error: 0.4998, number_of_instances: 274, precision: 0.7102, predictive_accuracy: 0.7044, prior_entropy: 0.9997, recall: 0.7044, relative_absolute_error: 0.5915, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.5437, root_relative_squared_error: 1.0877, usercpu_time_millis: 0.496, usercpu_time_millis_testing: 0.206, usercpu_time_millis_training: 0.29,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.703, f_measure: 0.7031, kappa: 0.4071, kb_relative_information_score: 111.8881, mean_absolute_error: 0.2956, mean_prior_absolute_error: 0.4998, number_of_instances: 274, precision: 0.7062, predictive_accuracy: 0.7044, prior_entropy: 0.9997, recall: 0.7044, relative_absolute_error: 0.5915, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.5437, root_relative_squared_error: 1.0877, usercpu_time_millis: 1.593, usercpu_time_millis_testing: 0.229, usercpu_time_millis_training: 1.364,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7739, f_measure: 0.7737, kappa: 0.5475, kb_relative_information_score: 149.9141, mean_absolute_error: 0.2263, mean_prior_absolute_error: 0.4998, number_of_instances: 274, precision: 0.7741, predictive_accuracy: 0.7737, prior_entropy: 0.9997, recall: 0.7737, relative_absolute_error: 0.4528, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4757, root_relative_squared_error: 0.9516, usercpu_time_millis: 1.399, usercpu_time_millis_testing: 0.241, usercpu_time_millis_training: 1.158,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6642, f_measure: 0.6643, kappa: 0.3284, kb_relative_information_score: 89.8731, mean_absolute_error: 0.3358, mean_prior_absolute_error: 0.4998, number_of_instances: 274, precision: 0.6644, predictive_accuracy: 0.6642, prior_entropy: 0.9997, recall: 0.6642, relative_absolute_error: 0.6719, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.5795, root_relative_squared_error: 1.1592, usercpu_time_millis: 0.57, usercpu_time_millis_testing: 0.089, usercpu_time_millis_training: 0.481,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7144, f_measure: 0.7147, kappa: 0.4295, kb_relative_information_score: 117.8922, mean_absolute_error: 0.2847, mean_prior_absolute_error: 0.4998, number_of_instances: 274, precision: 0.716, predictive_accuracy: 0.7153, prior_entropy: 0.9997, recall: 0.7153, relative_absolute_error: 0.5696, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.5335, root_relative_squared_error: 1.0673, usercpu_time_millis: 0.566, usercpu_time_millis_testing: 0.058, usercpu_time_millis_training: 0.508,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7708, f_measure: 0.7699, kappa: 0.5407, kb_relative_information_score: 147.9127, mean_absolute_error: 0.2299, mean_prior_absolute_error: 0.4998, number_of_instances: 274, precision: 0.7722, predictive_accuracy: 0.7701, prior_entropy: 0.9997, recall: 0.7701, relative_absolute_error: 0.4601, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4795, root_relative_squared_error: 0.9592, usercpu_time_millis: 1.728, usercpu_time_millis_testing: 0.187, usercpu_time_millis_training: 1.541,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.781, f_measure: 0.7441, kappa: 0.4899, kb_relative_information_score: 107.5273, mean_absolute_error: 0.3146, mean_prior_absolute_error: 0.4998, number_of_instances: 274, precision: 0.7477, predictive_accuracy: 0.7445, prior_entropy: 0.9997, recall: 0.7445, relative_absolute_error: 0.6294, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4445, root_relative_squared_error: 0.8893, scimark_benchmark: 927.2917, usercpu_time_millis: 100, usercpu_time_millis_training: 100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6278, f_measure: 0.5738, kappa: 0.2518, kb_relative_information_score: 65.8568, mean_absolute_error: 0.3796, mean_prior_absolute_error: 0.4998, number_of_instances: 274, precision: 0.7321, predictive_accuracy: 0.6204, prior_entropy: 0.9997, recall: 0.6204, relative_absolute_error: 0.7595, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.6161, root_relative_squared_error: 1.2325, scimark_benchmark: 932.438, usercpu_time_millis: 30, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7991, f_measure: 0.7152, kappa: 0.43, kb_relative_information_score: 102.2974, mean_absolute_error: 0.3205, mean_prior_absolute_error: 0.4998, number_of_instances: 274, precision: 0.7153, predictive_accuracy: 0.7153, prior_entropy: 0.9997, recall: 0.7153, relative_absolute_error: 0.6413, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4405, root_relative_squared_error: 0.8812, scimark_benchmark: 941.3847,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7991, f_measure: 0.7152, kappa: 0.43, kb_relative_information_score: 102.2974, mean_absolute_error: 0.3205, mean_prior_absolute_error: 0.4998, number_of_instances: 274, precision: 0.7153, predictive_accuracy: 0.7153, prior_entropy: 0.9997, recall: 0.7153, relative_absolute_error: 0.6413, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4405, root_relative_squared_error: 0.8812, scimark_benchmark: 974.2014, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7991, f_measure: 0.7152, kappa: 0.43, kb_relative_information_score: 102.2974, mean_absolute_error: 0.3205, mean_prior_absolute_error: 0.4998, number_of_instances: 274, precision: 0.7153, predictive_accuracy: 0.7153, prior_entropy: 0.9997, recall: 0.7153, relative_absolute_error: 0.6413, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4405, root_relative_squared_error: 0.8812, scimark_benchmark: 947.1781,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.781, f_measure: 0.7441, kappa: 0.4899, kb_relative_information_score: 107.5273, mean_absolute_error: 0.3146, mean_prior_absolute_error: 0.4998, number_of_instances: 274, precision: 0.7477, predictive_accuracy: 0.7445, prior_entropy: 0.9997, recall: 0.7445, relative_absolute_error: 0.6294, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4445, root_relative_squared_error: 0.8893, scimark_benchmark: 938.5498, usercpu_time_millis: 110, usercpu_time_millis_training: 110,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8211, f_measure: 0.7844, kappa: 0.57, kb_relative_information_score: 111.7049, mean_absolute_error: 0.3086, mean_prior_absolute_error: 0.4998, number_of_instances: 274, precision: 0.7877, predictive_accuracy: 0.7847, prior_entropy: 0.9997, recall: 0.7847, relative_absolute_error: 0.6175, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4135, root_relative_squared_error: 0.8273, scimark_benchmark: 974.2014, usercpu_time_millis: 120, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 110,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7492, f_measure: 0.7028, kappa: 0.4069, kb_relative_information_score: 78.663, mean_absolute_error: 0.3692, mean_prior_absolute_error: 0.4998, number_of_instances: 274, precision: 0.7068, predictive_accuracy: 0.7044, prior_entropy: 0.9997, recall: 0.7044, relative_absolute_error: 0.7387, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4518, root_relative_squared_error: 0.9038, scimark_benchmark: 942.2392,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8042, f_measure: 0.7299, kappa: 0.4601, kb_relative_information_score: 86.8383, mean_absolute_error: 0.3542, mean_prior_absolute_error: 0.4998, number_of_instances: 274, precision: 0.7306, predictive_accuracy: 0.7299, prior_entropy: 0.9997, recall: 0.7299, relative_absolute_error: 0.7087, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4241, root_relative_squared_error: 0.8485, scimark_benchmark: 901.6243, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6278, f_measure: 0.5738, kappa: 0.2518, kb_relative_information_score: 65.8568, mean_absolute_error: 0.3796, mean_prior_absolute_error: 0.4998, number_of_instances: 274, precision: 0.7321, predictive_accuracy: 0.6204, prior_entropy: 0.9997, recall: 0.6204, relative_absolute_error: 0.7595, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.6161, root_relative_squared_error: 1.2325, scimark_benchmark: 730.6551, usercpu_time_millis: 70, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7991, f_measure: 0.7152, kappa: 0.43, kb_relative_information_score: 102.2974, mean_absolute_error: 0.3205, mean_prior_absolute_error: 0.4998, number_of_instances: 274, precision: 0.7153, predictive_accuracy: 0.7153, prior_entropy: 0.9997, recall: 0.7153, relative_absolute_error: 0.6413, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4405, root_relative_squared_error: 0.8812, scimark_benchmark: 938.1282,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7991, f_measure: 0.7152, kappa: 0.43, kb_relative_information_score: 102.2974, mean_absolute_error: 0.3205, mean_prior_absolute_error: 0.4998, number_of_instances: 274, precision: 0.7153, predictive_accuracy: 0.7153, prior_entropy: 0.9997, recall: 0.7153, relative_absolute_error: 0.6413, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4405, root_relative_squared_error: 0.8812, scimark_benchmark: 903.2737,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7991, f_measure: 0.7152, kappa: 0.43, kb_relative_information_score: 102.2974, mean_absolute_error: 0.3205, mean_prior_absolute_error: 0.4998, number_of_instances: 274, precision: 0.7153, predictive_accuracy: 0.7153, prior_entropy: 0.9997, recall: 0.7153, relative_absolute_error: 0.6413, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4405, root_relative_squared_error: 0.8812, scimark_benchmark: 930.404,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8248, f_measure: 0.7407, kappa: 0.4811, kb_relative_information_score: 101.6141, mean_absolute_error: 0.3262, mean_prior_absolute_error: 0.4998, number_of_instances: 274, precision: 0.741, predictive_accuracy: 0.7409, prior_entropy: 0.9997, recall: 0.7409, relative_absolute_error: 0.6527, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4175, root_relative_squared_error: 0.8353, scimark_benchmark: 930.404, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8052, f_measure: 0.7297, kappa: 0.4591, kb_relative_information_score: 83.3605, mean_absolute_error: 0.3626, mean_prior_absolute_error: 0.4998, number_of_instances: 274, precision: 0.7301, predictive_accuracy: 0.7299, prior_entropy: 0.9997, recall: 0.7299, relative_absolute_error: 0.7256, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4269, root_relative_squared_error: 0.8539, scimark_benchmark: 920.2531, usercpu_time_millis: 930, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 920,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7991, f_measure: 0.7152, kappa: 0.43, kb_relative_information_score: 102.2974, mean_absolute_error: 0.3205, mean_prior_absolute_error: 0.4998, number_of_instances: 274, precision: 0.7153, predictive_accuracy: 0.7153, prior_entropy: 0.9997, recall: 0.7153, relative_absolute_error: 0.6413, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4405, root_relative_squared_error: 0.8812, scimark_benchmark: 936.9595, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.781, f_measure: 0.7441, kappa: 0.4899, kb_relative_information_score: 107.5273, mean_absolute_error: 0.3146, mean_prior_absolute_error: 0.4998, number_of_instances: 274, precision: 0.7477, predictive_accuracy: 0.7445, prior_entropy: 0.9997, recall: 0.7445, relative_absolute_error: 0.6294, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4445, root_relative_squared_error: 0.8893, scimark_benchmark: 941.3057, usercpu_time_millis: 110, usercpu_time_millis_training: 110,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8211, f_measure: 0.7844, kappa: 0.57, kb_relative_information_score: 111.7049, mean_absolute_error: 0.3086, mean_prior_absolute_error: 0.4998, number_of_instances: 274, precision: 0.7877, predictive_accuracy: 0.7847, prior_entropy: 0.9997, recall: 0.7847, relative_absolute_error: 0.6175, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4135, root_relative_squared_error: 0.8273, scimark_benchmark: 917.5013, usercpu_time_millis: 100, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 90,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8235, f_measure: 0.7584, kappa: 0.5194, kb_relative_information_score: 91.8233, mean_absolute_error: 0.3485, mean_prior_absolute_error: 0.4998, number_of_instances: 274, precision: 0.7644, predictive_accuracy: 0.7591, prior_entropy: 0.9997, recall: 0.7591, relative_absolute_error: 0.6972, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4116, root_relative_squared_error: 0.8233, scimark_benchmark: 937.5683, usercpu_time_millis: 1780, usercpu_time_millis_testing: 1040, usercpu_time_millis_training: 740,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8235, f_measure: 0.7622, kappa: 0.5266, kb_relative_information_score: 93.4342, mean_absolute_error: 0.346, mean_prior_absolute_error: 0.4998, number_of_instances: 274, precision: 0.7675, predictive_accuracy: 0.7628, prior_entropy: 0.9997, recall: 0.7628, relative_absolute_error: 0.6923, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4107, root_relative_squared_error: 0.8216, scimark_benchmark: 904.5548, usercpu_time_millis: 460, usercpu_time_millis_testing: 120, usercpu_time_millis_training: 340,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8158, f_measure: 0.7441, kappa: 0.4899, kb_relative_information_score: 89.952, mean_absolute_error: 0.3522, mean_prior_absolute_error: 0.4998, number_of_instances: 274, precision: 0.7477, predictive_accuracy: 0.7445, prior_entropy: 0.9997, recall: 0.7445, relative_absolute_error: 0.7047, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4149, root_relative_squared_error: 0.8301, scimark_benchmark: 933.9, usercpu_time_millis: 220, usercpu_time_millis_testing: 60, usercpu_time_millis_training: 160,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8211, f_measure: 0.7477, kappa: 0.4973, kb_relative_information_score: 94.427, mean_absolute_error: 0.3434, mean_prior_absolute_error: 0.4998, number_of_instances: 274, precision: 0.7518, predictive_accuracy: 0.7482, prior_entropy: 0.9997, recall: 0.7482, relative_absolute_error: 0.6871, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4118, root_relative_squared_error: 0.8237, scimark_benchmark: 897.0978, usercpu_time_millis: 100, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.796, f_measure: 0.7076, kappa: 0.4171, kb_relative_information_score: 86.7247, mean_absolute_error: 0.3559, mean_prior_absolute_error: 0.4998, number_of_instances: 274, precision: 0.7109, predictive_accuracy: 0.708, prior_entropy: 0.9997, recall: 0.708, relative_absolute_error: 0.7121, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.425, root_relative_squared_error: 0.8503, scimark_benchmark: 934.929, usercpu_time_millis: 60, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.786, f_measure: 0.69, kappa: 0.384, kb_relative_information_score: 91.0344, mean_absolute_error: 0.3459, mean_prior_absolute_error: 0.4998, number_of_instances: 274, precision: 0.6994, predictive_accuracy: 0.6934, prior_entropy: 0.9997, recall: 0.6934, relative_absolute_error: 0.6921, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.439, root_relative_squared_error: 0.8781, scimark_benchmark: 941.9549, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.786, f_measure: 0.69, kappa: 0.384, kb_relative_information_score: 91.0344, mean_absolute_error: 0.3459, mean_prior_absolute_error: 0.4998, number_of_instances: 274, precision: 0.6994, predictive_accuracy: 0.6934, prior_entropy: 0.9997, recall: 0.6934, relative_absolute_error: 0.6921, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.439, root_relative_squared_error: 0.8781, scimark_benchmark: 929.0296, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.786, f_measure: 0.69, kappa: 0.384, kb_relative_information_score: 91.0344, mean_absolute_error: 0.3459, mean_prior_absolute_error: 0.4998, number_of_instances: 274, precision: 0.6994, predictive_accuracy: 0.6934, prior_entropy: 0.9997, recall: 0.6934, relative_absolute_error: 0.6921, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.439, root_relative_squared_error: 0.8781, scimark_benchmark: 894.7131,

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