Task
Supervised Classification on electricity

Supervised Classification on electricity

Task 146012 Supervised Classification electricity 25374 runs submitted
0 likes downloaded by 0 people , 0 total downloads 0 issues
Visibility: Public
Issue #Downvotes for this reason By


Metric:

25374 Runs

Fetching data
Note: Chart is limited to the 100 best flows, and the 100 best runs for each flow.
Fetching data
Search runs in more detail
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8328, f_measure: 0.7486, kappa: 0.484, kb_relative_information_score: 15768.9424, mean_absolute_error: 0.3328, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7651, predictive_accuracy: 0.7574, prior_entropy: 0.9835, recall: 0.7574, relative_absolute_error: 0.6812, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.406, root_relative_squared_error: 0.8214, scimark_benchmark: 1734.7321, usercpu_time_millis: 45.876, usercpu_time_millis_testing: 2.319, usercpu_time_millis_training: 43.557,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8867, f_measure: 0.8084, kappa: 0.6059, kb_relative_information_score: 19229.2584, mean_absolute_error: 0.2976, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8107, predictive_accuracy: 0.8104, prior_entropy: 0.9835, recall: 0.8104, relative_absolute_error: 0.609, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3701, root_relative_squared_error: 0.7488, scimark_benchmark: 1733.7613, usercpu_time_millis: 42.403, usercpu_time_millis_testing: 2.275, usercpu_time_millis_training: 40.128,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.4204, kb_relative_information_score: 0.2594, mean_absolute_error: 0.4886, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.3311, predictive_accuracy: 0.5755, prior_entropy: 0.9835, recall: 0.5755, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4943, root_relative_squared_error: 1, scimark_benchmark: 1850.8706, usercpu_time_millis: 18.872, usercpu_time_millis_testing: 2.941, usercpu_time_millis_training: 15.931,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8664, f_measure: 0.7941, kappa: 0.5779, kb_relative_information_score: 18878.006, mean_absolute_error: 0.3002, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7939, predictive_accuracy: 0.7944, prior_entropy: 0.9835, recall: 0.7944, relative_absolute_error: 0.6143, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3808, root_relative_squared_error: 0.7704, scimark_benchmark: 1845.9141, usercpu_time_millis: 22.646, usercpu_time_millis_testing: 0.718, usercpu_time_millis_training: 21.928,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8029, f_measure: 0.7486, kappa: 0.484, kb_relative_information_score: 14441.2729, mean_absolute_error: 0.3491, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7651, predictive_accuracy: 0.7574, prior_entropy: 0.9835, recall: 0.7574, relative_absolute_error: 0.7144, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4156, root_relative_squared_error: 0.8407, scimark_benchmark: 1737.9267, usercpu_time_millis: 17.337, usercpu_time_millis_testing: 0.88, usercpu_time_millis_training: 16.457,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.4204, kb_relative_information_score: -0.1527, mean_absolute_error: 0.4886, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.3311, predictive_accuracy: 0.5755, prior_entropy: 0.9835, recall: 0.5755, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4943, root_relative_squared_error: 1, scimark_benchmark: 1852.4008, usercpu_time_millis: 9.034, usercpu_time_millis_testing: 1.101, usercpu_time_millis_training: 7.933,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.4204, kb_relative_information_score: -0.6424, mean_absolute_error: 0.4886, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.3311, predictive_accuracy: 0.5755, prior_entropy: 0.9835, recall: 0.5755, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4943, root_relative_squared_error: 1, scimark_benchmark: 1727.5559, usercpu_time_millis: 16.598, usercpu_time_millis_testing: 1.5, usercpu_time_millis_training: 15.098,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8065, f_measure: 0.7453, kappa: 0.4792, kb_relative_information_score: 7638.1421, mean_absolute_error: 0.4231, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7725, predictive_accuracy: 0.7573, prior_entropy: 0.9835, recall: 0.7573, relative_absolute_error: 0.8658, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.44, root_relative_squared_error: 0.8901, scimark_benchmark: 1858.0974, usercpu_time_millis: 8.883, usercpu_time_millis_testing: 0.834, usercpu_time_millis_training: 8.049,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8926, f_measure: 0.8198, kappa: 0.6311, kb_relative_information_score: 21580.763, mean_absolute_error: 0.2694, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8198, predictive_accuracy: 0.8198, prior_entropy: 0.9835, recall: 0.8198, relative_absolute_error: 0.5514, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3609, root_relative_squared_error: 0.7301, scimark_benchmark: 1852.4008, usercpu_time_millis: 2.286, usercpu_time_millis_testing: 0.152, usercpu_time_millis_training: 2.134,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9131, f_measure: 0.83, kappa: 0.6512, kb_relative_information_score: 22834.5607, mean_absolute_error: 0.2566, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.83, predictive_accuracy: 0.8306, prior_entropy: 0.9835, recall: 0.8306, relative_absolute_error: 0.5251, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3448, root_relative_squared_error: 0.6976, scimark_benchmark: 1854.9533, usercpu_time_millis: 204.542, usercpu_time_millis_testing: 14.111, usercpu_time_millis_training: 190.431,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.89, f_measure: 0.8107, kappa: 0.6105, kb_relative_information_score: 19547.6018, mean_absolute_error: 0.294, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8132, predictive_accuracy: 0.8127, prior_entropy: 0.9835, recall: 0.8127, relative_absolute_error: 0.6017, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3676, root_relative_squared_error: 0.7437, scimark_benchmark: 1804.1579, usercpu_time_millis: 197.983, usercpu_time_millis_testing: 16.68, usercpu_time_millis_training: 181.303,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8783, f_measure: 0.7969, kappa: 0.5819, kb_relative_information_score: 18550.8793, mean_absolute_error: 0.3045, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8022, predictive_accuracy: 0.8002, prior_entropy: 0.9835, recall: 0.8002, relative_absolute_error: 0.6232, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3769, root_relative_squared_error: 0.7624, scimark_benchmark: 1852.4008, usercpu_time_millis: 189.302, usercpu_time_millis_testing: 16.673, usercpu_time_millis_training: 172.629,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9013, f_measure: 0.8191, kappa: 0.629, kb_relative_information_score: 21903.57, mean_absolute_error: 0.266, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8191, predictive_accuracy: 0.8197, prior_entropy: 0.9835, recall: 0.8197, relative_absolute_error: 0.5445, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3554, root_relative_squared_error: 0.719, scimark_benchmark: 1834.9527, usercpu_time_millis: 174.034, usercpu_time_millis_testing: 8.871, usercpu_time_millis_training: 165.163,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.891, f_measure: 0.8067, kappa: 0.6021, kb_relative_information_score: 19072.9375, mean_absolute_error: 0.3002, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8104, predictive_accuracy: 0.8092, prior_entropy: 0.9835, recall: 0.8092, relative_absolute_error: 0.6144, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3684, root_relative_squared_error: 0.7454, scimark_benchmark: 1796.0572, usercpu_time_millis: 150.495, usercpu_time_millis_testing: 12.042, usercpu_time_millis_training: 138.453,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9352, f_measure: 0.8528, kappa: 0.698, kb_relative_information_score: 25122.2601, mean_absolute_error: 0.232, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8528, predictive_accuracy: 0.8532, prior_entropy: 0.9835, recall: 0.8532, relative_absolute_error: 0.4747, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3219, root_relative_squared_error: 0.6512, scimark_benchmark: 1799.2518, usercpu_time_millis: 134.565, usercpu_time_millis_testing: 5.451, usercpu_time_millis_training: 129.114,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9496, f_measure: 0.8757, kappa: 0.7453, kb_relative_information_score: 27077.7168, mean_absolute_error: 0.211, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8757, predictive_accuracy: 0.8759, prior_entropy: 0.9835, recall: 0.8759, relative_absolute_error: 0.4318, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3027, root_relative_squared_error: 0.6125, scimark_benchmark: 1802.0128, usercpu_time_millis: 129.625, usercpu_time_millis_testing: 4.899, usercpu_time_millis_training: 124.726,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8917, f_measure: 0.808, kappa: 0.6049, kb_relative_information_score: 19104.1748, mean_absolute_error: 0.2999, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8116, predictive_accuracy: 0.8105, prior_entropy: 0.9835, recall: 0.8105, relative_absolute_error: 0.6138, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3679, root_relative_squared_error: 0.7444, scimark_benchmark: 1854.9533, usercpu_time_millis: 124.201, usercpu_time_millis_testing: 8.823, usercpu_time_millis_training: 115.378,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8809, f_measure: 0.8059, kappa: 0.6008, kb_relative_information_score: 18994.0037, mean_absolute_error: 0.2995, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8076, predictive_accuracy: 0.8077, prior_entropy: 0.9835, recall: 0.8077, relative_absolute_error: 0.613, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3739, root_relative_squared_error: 0.7564, scimark_benchmark: 1855.4813, usercpu_time_millis: 110.686, usercpu_time_millis_testing: 7.775, usercpu_time_millis_training: 102.911,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8911, f_measure: 0.8131, kappa: 0.6168, kb_relative_information_score: 21074.8781, mean_absolute_error: 0.2753, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8129, predictive_accuracy: 0.8134, prior_entropy: 0.9835, recall: 0.8134, relative_absolute_error: 0.5634, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3634, root_relative_squared_error: 0.7353, scimark_benchmark: 1803.0019, usercpu_time_millis: 92.991, usercpu_time_millis_testing: 2.627, usercpu_time_millis_training: 90.364,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9307, f_measure: 0.8496, kappa: 0.6913, kb_relative_information_score: 23547.71, mean_absolute_error: 0.2519, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8498, predictive_accuracy: 0.8501, prior_entropy: 0.9835, recall: 0.8501, relative_absolute_error: 0.5155, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3295, root_relative_squared_error: 0.6667, scimark_benchmark: 1805.7197, usercpu_time_millis: 81.353, usercpu_time_millis_testing: 8.656, usercpu_time_millis_training: 72.697,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.4204, kb_relative_information_score: -0.9137, mean_absolute_error: 0.4886, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.3311, predictive_accuracy: 0.5755, prior_entropy: 0.9835, recall: 0.5755, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4943, root_relative_squared_error: 1, scimark_benchmark: 1830.387, usercpu_time_millis: 66.479, usercpu_time_millis_testing: 5.227, usercpu_time_millis_training: 61.252,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9202, f_measure: 0.8374, kappa: 0.6662, kb_relative_information_score: 23327.8058, mean_absolute_error: 0.2516, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8375, predictive_accuracy: 0.8379, prior_entropy: 0.9835, recall: 0.8379, relative_absolute_error: 0.5149, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3385, root_relative_squared_error: 0.6849, scimark_benchmark: 1853.9121, usercpu_time_millis: 60.565, usercpu_time_millis_testing: 2.82, usercpu_time_millis_training: 57.745,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8115, f_measure: 0.7478, kappa: 0.4839, kb_relative_information_score: 8235.7062, mean_absolute_error: 0.4175, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7732, predictive_accuracy: 0.7591, prior_entropy: 0.9835, recall: 0.7591, relative_absolute_error: 0.8544, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4361, root_relative_squared_error: 0.8823, scimark_benchmark: 1808.5426, usercpu_time_millis: 59.176, usercpu_time_millis_testing: 8.531, usercpu_time_millis_training: 50.645,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8719, f_measure: 0.7948, kappa: 0.5782, kb_relative_information_score: 18467.5512, mean_absolute_error: 0.3052, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7956, predictive_accuracy: 0.7963, prior_entropy: 0.9835, recall: 0.7963, relative_absolute_error: 0.6246, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3795, root_relative_squared_error: 0.7679, scimark_benchmark: 1830.387, usercpu_time_millis: 53.775, usercpu_time_millis_testing: 3.089, usercpu_time_millis_training: 50.686,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9196, f_measure: 0.8383, kappa: 0.6677, kb_relative_information_score: 20410.6106, mean_absolute_error: 0.2892, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8394, predictive_accuracy: 0.8394, prior_entropy: 0.9835, recall: 0.8394, relative_absolute_error: 0.5919, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3485, root_relative_squared_error: 0.7051, scimark_benchmark: 1799.7828, usercpu_time_millis: 27.024, usercpu_time_millis_testing: 2.182, usercpu_time_millis_training: 24.842,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.4204, kb_relative_information_score: -0.1044, mean_absolute_error: 0.4886, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.3311, predictive_accuracy: 0.5755, prior_entropy: 0.9835, recall: 0.5755, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4943, root_relative_squared_error: 1, scimark_benchmark: 1855.4813, usercpu_time_millis: 23.338, usercpu_time_millis_testing: 4.052, usercpu_time_millis_training: 19.286,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5001, f_measure: 0.4204, kb_relative_information_score: 0.0404, mean_absolute_error: 0.4886, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.3311, predictive_accuracy: 0.5755, prior_entropy: 0.9835, recall: 0.5755, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4943, root_relative_squared_error: 1, scimark_benchmark: 1799.2518, usercpu_time_millis: 20.407, usercpu_time_millis_testing: 2.969, usercpu_time_millis_training: 17.438,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9513, f_measure: 0.8796, kappa: 0.7534, kb_relative_information_score: 27442.1204, mean_absolute_error: 0.2071, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8795, predictive_accuracy: 0.8797, prior_entropy: 0.9835, recall: 0.8797, relative_absolute_error: 0.4239, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.2993, root_relative_squared_error: 0.6056, scimark_benchmark: 1821.7749, usercpu_time_millis: 9.019, usercpu_time_millis_testing: 0.667, usercpu_time_millis_training: 8.352,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9115, f_measure: 0.8282, kappa: 0.6473, kb_relative_information_score: 22741.9948, mean_absolute_error: 0.2571, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8283, predictive_accuracy: 0.8288, prior_entropy: 0.9835, recall: 0.8288, relative_absolute_error: 0.5263, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3465, root_relative_squared_error: 0.7009, scimark_benchmark: 1791.5698, usercpu_time_millis: 670.165, usercpu_time_millis_testing: 25.717, usercpu_time_millis_training: 644.448,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8984, f_measure: 0.8161, kappa: 0.6216, kb_relative_information_score: 18145.8655, mean_absolute_error: 0.3131, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8194, predictive_accuracy: 0.8183, prior_entropy: 0.9835, recall: 0.8183, relative_absolute_error: 0.6407, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.368, root_relative_squared_error: 0.7445, scimark_benchmark: 1799.5915, usercpu_time_millis: 321.485, usercpu_time_millis_testing: 22.34, usercpu_time_millis_training: 299.145,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9163, f_measure: 0.8332, kappa: 0.6575, kb_relative_information_score: 22423.4789, mean_absolute_error: 0.2625, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8336, predictive_accuracy: 0.834, prior_entropy: 0.9835, recall: 0.834, relative_absolute_error: 0.5372, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3436, root_relative_squared_error: 0.6953, scimark_benchmark: 1776.5864, usercpu_time_millis: 290.993, usercpu_time_millis_testing: 16.486, usercpu_time_millis_training: 274.507,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8835, f_measure: 0.7964, kappa: 0.5809, kb_relative_information_score: 16427.8783, mean_absolute_error: 0.3315, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8038, predictive_accuracy: 0.8004, prior_entropy: 0.9835, recall: 0.8004, relative_absolute_error: 0.6785, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3812, root_relative_squared_error: 0.7713, scimark_benchmark: 1815.2477, usercpu_time_millis: 204.734, usercpu_time_millis_testing: 19.575, usercpu_time_millis_training: 185.159,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9154, f_measure: 0.8323, kappa: 0.6556, kb_relative_information_score: 22342.8671, mean_absolute_error: 0.2634, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8328, predictive_accuracy: 0.8332, prior_entropy: 0.9835, recall: 0.8332, relative_absolute_error: 0.5391, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3443, root_relative_squared_error: 0.6967, scimark_benchmark: 1783.1238, usercpu_time_millis: 194.583, usercpu_time_millis_testing: 18.331, usercpu_time_millis_training: 176.252,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9328, f_measure: 0.8522, kappa: 0.6968, kb_relative_information_score: 24947.7324, mean_absolute_error: 0.234, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8522, predictive_accuracy: 0.8525, prior_entropy: 0.9835, recall: 0.8525, relative_absolute_error: 0.4788, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.324, root_relative_squared_error: 0.6556, scimark_benchmark: 1777.7545, usercpu_time_millis: 178.149, usercpu_time_millis_testing: 11.316, usercpu_time_millis_training: 166.833,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8669, f_measure: 0.7696, kappa: 0.5263, kb_relative_information_score: 16709.0654, mean_absolute_error: 0.3256, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7828, predictive_accuracy: 0.7763, prior_entropy: 0.9835, recall: 0.7763, relative_absolute_error: 0.6665, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3883, root_relative_squared_error: 0.7855, scimark_benchmark: 1795.0265, usercpu_time_millis: 161.367, usercpu_time_millis_testing: 12.743, usercpu_time_millis_training: 148.624,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.4204, kb_relative_information_score: -1.6426, mean_absolute_error: 0.4886, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.3311, predictive_accuracy: 0.5755, prior_entropy: 0.9835, recall: 0.5755, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4943, root_relative_squared_error: 1, scimark_benchmark: 1815.2477, usercpu_time_millis: 114.669, usercpu_time_millis_testing: 9.92, usercpu_time_millis_training: 104.749,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8978, f_measure: 0.8157, kappa: 0.6208, kb_relative_information_score: 19818.1978, mean_absolute_error: 0.2921, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.818, predictive_accuracy: 0.8176, prior_entropy: 0.9835, recall: 0.8176, relative_absolute_error: 0.5978, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3624, root_relative_squared_error: 0.7332, scimark_benchmark: 1794.108, usercpu_time_millis: 81.233, usercpu_time_millis_testing: 4.756, usercpu_time_millis_training: 76.477,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8934, f_measure: 0.8147, kappa: 0.6199, kb_relative_information_score: 20956.0203, mean_absolute_error: 0.2771, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8146, predictive_accuracy: 0.8152, prior_entropy: 0.9835, recall: 0.8152, relative_absolute_error: 0.5672, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3621, root_relative_squared_error: 0.7325, scimark_benchmark: 1841.4569, usercpu_time_millis: 71.012, usercpu_time_millis_testing: 4.587, usercpu_time_millis_training: 66.425,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8816, f_measure: 0.8049, kappa: 0.599, kb_relative_information_score: 19279.0776, mean_absolute_error: 0.2961, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.806, predictive_accuracy: 0.8064, prior_entropy: 0.9835, recall: 0.8064, relative_absolute_error: 0.606, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3728, root_relative_squared_error: 0.7542, scimark_benchmark: 1796.9226, usercpu_time_millis: 65.33, usercpu_time_millis_testing: 6.251, usercpu_time_millis_training: 59.079,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8455, f_measure: 0.7542, kappa: 0.4949, kb_relative_information_score: 14817.8639, mean_absolute_error: 0.3464, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.768, predictive_accuracy: 0.7619, prior_entropy: 0.9835, recall: 0.7619, relative_absolute_error: 0.7088, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4038, root_relative_squared_error: 0.8169, scimark_benchmark: 1788.8099, usercpu_time_millis: 57.739, usercpu_time_millis_testing: 4.576, usercpu_time_millis_training: 53.163,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5001, f_measure: 0.4204, kb_relative_information_score: -0.0211, mean_absolute_error: 0.4886, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.3311, predictive_accuracy: 0.5755, prior_entropy: 0.9835, recall: 0.5755, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4943, root_relative_squared_error: 1, scimark_benchmark: 1807.956, usercpu_time_millis: 40.862, usercpu_time_millis_testing: 7.124, usercpu_time_millis_training: 33.738,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9387, f_measure: 0.8605, kappa: 0.7139, kb_relative_information_score: 24630.176, mean_absolute_error: 0.24, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8606, predictive_accuracy: 0.8609, prior_entropy: 0.9835, recall: 0.8609, relative_absolute_error: 0.4912, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3197, root_relative_squared_error: 0.6469, scimark_benchmark: 1800.6422, usercpu_time_millis: 22.627, usercpu_time_millis_testing: 1.456, usercpu_time_millis_training: 21.171,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8233, f_measure: 0.7487, kappa: 0.4841, kb_relative_information_score: 14866.2475, mean_absolute_error: 0.3441, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7656, predictive_accuracy: 0.7576, prior_entropy: 0.9835, recall: 0.7576, relative_absolute_error: 0.7043, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4105, root_relative_squared_error: 0.8305, scimark_benchmark: 1776.8985, usercpu_time_millis: 9.244, usercpu_time_millis_testing: 0.585, usercpu_time_millis_training: 8.659,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9347, f_measure: 0.8525, kappa: 0.6974, kb_relative_information_score: 25015.9476, mean_absolute_error: 0.2333, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8525, predictive_accuracy: 0.8528, prior_entropy: 0.9835, recall: 0.8528, relative_absolute_error: 0.4774, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3225, root_relative_squared_error: 0.6525, scimark_benchmark: 1754.735, usercpu_time_millis: 376.888, usercpu_time_millis_testing: 17.499, usercpu_time_millis_training: 359.389,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8747, f_measure: 0.7809, kappa: 0.5494, kb_relative_information_score: 16974.2977, mean_absolute_error: 0.3234, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7916, predictive_accuracy: 0.7864, prior_entropy: 0.9835, recall: 0.7864, relative_absolute_error: 0.6618, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3836, root_relative_squared_error: 0.7761, scimark_benchmark: 1765.3955, usercpu_time_millis: 273.596, usercpu_time_millis_testing: 19.605, usercpu_time_millis_training: 253.991,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8903, f_measure: 0.8125, kappa: 0.6155, kb_relative_information_score: 20785.2015, mean_absolute_error: 0.2789, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8124, predictive_accuracy: 0.8129, prior_entropy: 0.9835, recall: 0.8129, relative_absolute_error: 0.5709, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3643, root_relative_squared_error: 0.737, scimark_benchmark: 1768.2774, usercpu_time_millis: 259.963, usercpu_time_millis_testing: 9.591, usercpu_time_millis_training: 250.372,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9349, f_measure: 0.8513, kappa: 0.6949, kb_relative_information_score: 24566.829, mean_absolute_error: 0.2392, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8515, predictive_accuracy: 0.8519, prior_entropy: 0.9835, recall: 0.8519, relative_absolute_error: 0.4895, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3236, root_relative_squared_error: 0.6548, scimark_benchmark: 1802.706, usercpu_time_millis: 245.782, usercpu_time_millis_testing: 13.782, usercpu_time_millis_training: 232,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8972, f_measure: 0.8165, kappa: 0.6236, kb_relative_information_score: 21418.2478, mean_absolute_error: 0.2717, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8164, predictive_accuracy: 0.817, prior_entropy: 0.9835, recall: 0.817, relative_absolute_error: 0.5561, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3589, root_relative_squared_error: 0.7262, scimark_benchmark: 1771.3836, usercpu_time_millis: 247.824, usercpu_time_millis_testing: 12.226, usercpu_time_millis_training: 235.598,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8522, f_measure: 0.765, kappa: 0.5168, kb_relative_information_score: 16407.7265, mean_absolute_error: 0.3279, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7761, predictive_accuracy: 0.7713, prior_entropy: 0.9835, recall: 0.7713, relative_absolute_error: 0.6711, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3962, root_relative_squared_error: 0.8015, scimark_benchmark: 1741.2025, usercpu_time_millis: 191.058, usercpu_time_millis_testing: 13.298, usercpu_time_millis_training: 177.76,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.872, f_measure: 0.7765, kappa: 0.5404, kb_relative_information_score: 16621.5999, mean_absolute_error: 0.3273, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7887, predictive_accuracy: 0.7826, prior_entropy: 0.9835, recall: 0.7826, relative_absolute_error: 0.6699, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.386, root_relative_squared_error: 0.781, scimark_benchmark: 1772.6483, usercpu_time_millis: 150.942, usercpu_time_millis_testing: 18.982, usercpu_time_millis_training: 131.96,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8371, f_measure: 0.7507, kappa: 0.4881, kb_relative_information_score: 14425.436, mean_absolute_error: 0.3503, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7665, predictive_accuracy: 0.7591, prior_entropy: 0.9835, recall: 0.7591, relative_absolute_error: 0.717, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4102, root_relative_squared_error: 0.83, scimark_benchmark: 1782.6977, usercpu_time_millis: 124.69, usercpu_time_millis_testing: 10.987, usercpu_time_millis_training: 113.703,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8043, f_measure: 0.7449, kappa: 0.4783, kb_relative_information_score: 7005.2965, mean_absolute_error: 0.4292, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7721, predictive_accuracy: 0.7569, prior_entropy: 0.9835, recall: 0.7569, relative_absolute_error: 0.8783, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4441, root_relative_squared_error: 0.8986, scimark_benchmark: 1768.6746, usercpu_time_millis: 113.1, usercpu_time_millis_testing: 12.633, usercpu_time_millis_training: 100.467,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.866, f_measure: 0.7733, kappa: 0.5342, kb_relative_information_score: 14186.2003, mean_absolute_error: 0.3557, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7879, predictive_accuracy: 0.7802, prior_entropy: 0.9835, recall: 0.7802, relative_absolute_error: 0.728, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.397, root_relative_squared_error: 0.8032, scimark_benchmark: 1777.0545, usercpu_time_millis: 101.948, usercpu_time_millis_testing: 9.293, usercpu_time_millis_training: 92.655,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9668, f_measure: 0.9024, kappa: 0.8001, kb_relative_information_score: 30347.3971, mean_absolute_error: 0.1747, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.9024, predictive_accuracy: 0.9025, prior_entropy: 0.9835, recall: 0.9025, relative_absolute_error: 0.3575, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.2714, root_relative_squared_error: 0.5491, scimark_benchmark: 1745.3045, usercpu_time_millis: 73.878, usercpu_time_millis_testing: 1.918, usercpu_time_millis_training: 71.96,
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable). Evaluation Engine Exception: Run description file not present.
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9146, f_measure: 0.8311, kappa: 0.653, kb_relative_information_score: 21758.8712, mean_absolute_error: 0.2708, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8319, predictive_accuracy: 0.8322, prior_entropy: 0.9835, recall: 0.8322, relative_absolute_error: 0.5543, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3465, root_relative_squared_error: 0.701, scimark_benchmark: 1780.8209, usercpu_time_millis: 59.719, usercpu_time_millis_testing: 3.572, usercpu_time_millis_training: 56.147,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9668, f_measure: 0.9028, kappa: 0.801, kb_relative_information_score: 29999.3364, mean_absolute_error: 0.1793, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.9028, predictive_accuracy: 0.9028, prior_entropy: 0.9835, recall: 0.9028, relative_absolute_error: 0.3669, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.2726, root_relative_squared_error: 0.5516, scimark_benchmark: 1851.3287, usercpu_time_millis: 54.04, usercpu_time_millis_testing: 2.249, usercpu_time_millis_training: 51.791,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.4204, kb_relative_information_score: 0.5916, mean_absolute_error: 0.4886, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.3311, predictive_accuracy: 0.5755, prior_entropy: 0.9835, recall: 0.5755, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4943, root_relative_squared_error: 1, scimark_benchmark: 1769.3119, usercpu_time_millis: 38.84, usercpu_time_millis_testing: 6.95, usercpu_time_millis_training: 31.89,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.4204, kb_relative_information_score: -4.9889, mean_absolute_error: 0.4886, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.3311, predictive_accuracy: 0.5755, prior_entropy: 0.9835, recall: 0.5755, relative_absolute_error: 1.0001, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4943, root_relative_squared_error: 1, scimark_benchmark: 1796.7679, usercpu_time_millis: 2.806, usercpu_time_millis_testing: 0.317, usercpu_time_millis_training: 2.489,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9007, f_measure: 0.8167, kappa: 0.6238, kb_relative_information_score: 21944.4641, mean_absolute_error: 0.2653, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8167, predictive_accuracy: 0.8173, prior_entropy: 0.9835, recall: 0.8173, relative_absolute_error: 0.543, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3558, root_relative_squared_error: 0.7198, scimark_benchmark: 1852.0126, usercpu_time_millis: 379.136, usercpu_time_millis_testing: 15.391, usercpu_time_millis_training: 363.745,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8722, f_measure: 0.786, kappa: 0.5597, kb_relative_information_score: 17967.4774, mean_absolute_error: 0.311, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7942, predictive_accuracy: 0.7906, prior_entropy: 0.9835, recall: 0.7906, relative_absolute_error: 0.6365, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3814, root_relative_squared_error: 0.7717, scimark_benchmark: 1800.4618, usercpu_time_millis: 334.923, usercpu_time_millis_testing: 22.038, usercpu_time_millis_training: 312.885,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9291, f_measure: 0.8464, kappa: 0.6849, kb_relative_information_score: 24195.2423, mean_absolute_error: 0.2425, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8465, predictive_accuracy: 0.8469, prior_entropy: 0.9835, recall: 0.8469, relative_absolute_error: 0.4962, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3294, root_relative_squared_error: 0.6665, scimark_benchmark: 1832.0333, usercpu_time_millis: 236.746, usercpu_time_millis_testing: 9.798, usercpu_time_millis_training: 226.948,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8599, f_measure: 0.7718, kappa: 0.5304, kb_relative_information_score: 17118.1455, mean_absolute_error: 0.3206, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7813, predictive_accuracy: 0.7773, prior_entropy: 0.9835, recall: 0.7773, relative_absolute_error: 0.6561, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3892, root_relative_squared_error: 0.7874, scimark_benchmark: 1832.7474, usercpu_time_millis: 218.538, usercpu_time_millis_testing: 14.749, usercpu_time_millis_training: 203.789,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9204, f_measure: 0.8391, kappa: 0.67, kb_relative_information_score: 23678.3925, mean_absolute_error: 0.2469, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8391, predictive_accuracy: 0.8395, prior_entropy: 0.9835, recall: 0.8395, relative_absolute_error: 0.5054, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3378, root_relative_squared_error: 0.6833, scimark_benchmark: 1846.3057, usercpu_time_millis: 194.026, usercpu_time_millis_testing: 7.43, usercpu_time_millis_training: 186.596,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8587, f_measure: 0.788, kappa: 0.5642, kb_relative_information_score: 17950.3975, mean_absolute_error: 0.311, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7887, predictive_accuracy: 0.7895, prior_entropy: 0.9835, recall: 0.7895, relative_absolute_error: 0.6365, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3868, root_relative_squared_error: 0.7825, scimark_benchmark: 1893.6294, usercpu_time_millis: 169.492, usercpu_time_millis_testing: 11.393, usercpu_time_millis_training: 158.099,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9012, f_measure: 0.8194, kappa: 0.6285, kb_relative_information_score: 20229.5252, mean_absolute_error: 0.2876, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8212, predictive_accuracy: 0.821, prior_entropy: 0.9835, recall: 0.821, relative_absolute_error: 0.5886, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3592, root_relative_squared_error: 0.7267, scimark_benchmark: 1820.3066, usercpu_time_millis: 128.093, usercpu_time_millis_testing: 9.019, usercpu_time_millis_training: 119.074,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8794, f_measure: 0.8032, kappa: 0.5956, kb_relative_information_score: 19177.0178, mean_absolute_error: 0.2972, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8037, predictive_accuracy: 0.8044, prior_entropy: 0.9835, recall: 0.8044, relative_absolute_error: 0.6083, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3741, root_relative_squared_error: 0.7568, scimark_benchmark: 1856.5802, usercpu_time_millis: 95.477, usercpu_time_millis_testing: 5.013, usercpu_time_millis_training: 90.464,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.878, f_measure: 0.8017, kappa: 0.5931, kb_relative_information_score: 19530.3849, mean_absolute_error: 0.2931, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8016, predictive_accuracy: 0.8023, prior_entropy: 0.9835, recall: 0.8023, relative_absolute_error: 0.5998, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.374, root_relative_squared_error: 0.7567, scimark_benchmark: 1885.012, usercpu_time_millis: 79.735, usercpu_time_millis_testing: 4.201, usercpu_time_millis_training: 75.534,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.4204, kb_relative_information_score: -0.8648, mean_absolute_error: 0.4886, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.3311, predictive_accuracy: 0.5755, prior_entropy: 0.9835, recall: 0.5755, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4943, root_relative_squared_error: 1, scimark_benchmark: 1857.0384, usercpu_time_millis: 78.987, usercpu_time_millis_testing: 8.941, usercpu_time_millis_training: 70.046,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.4204, kb_relative_information_score: -1.0904, mean_absolute_error: 0.4886, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.3311, predictive_accuracy: 0.5755, prior_entropy: 0.9835, recall: 0.5755, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4943, root_relative_squared_error: 1, scimark_benchmark: 1823.3193, usercpu_time_millis: 55.622, usercpu_time_millis_testing: 3.434, usercpu_time_millis_training: 52.188,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8121, f_measure: 0.7486, kappa: 0.484, kb_relative_information_score: 15056.6519, mean_absolute_error: 0.3406, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7651, predictive_accuracy: 0.7574, prior_entropy: 0.9835, recall: 0.7574, relative_absolute_error: 0.6971, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4114, root_relative_squared_error: 0.8322, scimark_benchmark: 1843.3605, usercpu_time_millis: 40.484, usercpu_time_millis_testing: 1.682, usercpu_time_millis_training: 38.802,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.4204, kb_relative_information_score: -0.0807, mean_absolute_error: 0.4886, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.3311, predictive_accuracy: 0.5755, prior_entropy: 0.9835, recall: 0.5755, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4943, root_relative_squared_error: 1, scimark_benchmark: 1820.3066, usercpu_time_millis: 41.583, usercpu_time_millis_testing: 7.796, usercpu_time_millis_training: 33.787,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7988, f_measure: 0.7478, kappa: 0.4826, kb_relative_information_score: 10487.1333, mean_absolute_error: 0.3953, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7658, predictive_accuracy: 0.7571, prior_entropy: 0.9835, recall: 0.7571, relative_absolute_error: 0.8091, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4279, root_relative_squared_error: 0.8656, scimark_benchmark: 1890.8899, usercpu_time_millis: 18.92, usercpu_time_millis_testing: 0.88, usercpu_time_millis_training: 18.04,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8157, f_measure: 0.754, kappa: 0.4956, kb_relative_information_score: 10654.188, mean_absolute_error: 0.3928, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7738, predictive_accuracy: 0.7634, prior_entropy: 0.9835, recall: 0.7634, relative_absolute_error: 0.804, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4226, root_relative_squared_error: 0.8551, scimark_benchmark: 1845.264, usercpu_time_millis: 13.31, usercpu_time_millis_testing: 1.05, usercpu_time_millis_training: 12.26,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8406, f_measure: 0.7557, kappa: 0.4986, kb_relative_information_score: 13028.0225, mean_absolute_error: 0.3676, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7736, predictive_accuracy: 0.7645, prior_entropy: 0.9835, recall: 0.7645, relative_absolute_error: 0.7524, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4093, root_relative_squared_error: 0.828, scimark_benchmark: 1826.1972, usercpu_time_millis: 3.404, usercpu_time_millis_testing: 0.276, usercpu_time_millis_training: 3.128,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8995, f_measure: 0.8196, kappa: 0.63, kb_relative_information_score: 21543.4564, mean_absolute_error: 0.2705, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8196, predictive_accuracy: 0.8201, prior_entropy: 0.9835, recall: 0.8201, relative_absolute_error: 0.5537, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3571, root_relative_squared_error: 0.7224, scimark_benchmark: 1823.9279, usercpu_time_millis: 279.832, usercpu_time_millis_testing: 13.355, usercpu_time_millis_training: 266.477,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8881, f_measure: 0.8116, kappa: 0.6132, kb_relative_information_score: 20098.263, mean_absolute_error: 0.2871, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8117, predictive_accuracy: 0.8123, prior_entropy: 0.9835, recall: 0.8123, relative_absolute_error: 0.5875, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3669, root_relative_squared_error: 0.7424, scimark_benchmark: 1834.1796, usercpu_time_millis: 259.931, usercpu_time_millis_testing: 12.953, usercpu_time_millis_training: 246.978,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9342, f_measure: 0.8508, kappa: 0.6939, kb_relative_information_score: 24482.0622, mean_absolute_error: 0.2401, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8511, predictive_accuracy: 0.8514, prior_entropy: 0.9835, recall: 0.8514, relative_absolute_error: 0.4914, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3244, root_relative_squared_error: 0.6564, scimark_benchmark: 1849.7595, usercpu_time_millis: 247.415, usercpu_time_millis_testing: 13.751, usercpu_time_millis_training: 233.664,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8977, f_measure: 0.8165, kappa: 0.6235, kb_relative_information_score: 21290.6616, mean_absolute_error: 0.2735, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8164, predictive_accuracy: 0.817, prior_entropy: 0.9835, recall: 0.817, relative_absolute_error: 0.5597, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3588, root_relative_squared_error: 0.7259, scimark_benchmark: 1848.916, usercpu_time_millis: 227.662, usercpu_time_millis_testing: 10.953, usercpu_time_millis_training: 216.709,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.881, f_measure: 0.8021, kappa: 0.594, kb_relative_information_score: 19745.8109, mean_absolute_error: 0.2906, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.802, predictive_accuracy: 0.8027, prior_entropy: 0.9835, recall: 0.8027, relative_absolute_error: 0.5948, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.372, root_relative_squared_error: 0.7525, scimark_benchmark: 1841.1188, usercpu_time_millis: 168.306, usercpu_time_millis_testing: 12.653, usercpu_time_millis_training: 155.653,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8785, f_measure: 0.8024, kappa: 0.5938, kb_relative_information_score: 19045.9191, mean_absolute_error: 0.2987, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8033, predictive_accuracy: 0.8038, prior_entropy: 0.9835, recall: 0.8038, relative_absolute_error: 0.6113, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3749, root_relative_squared_error: 0.7585, scimark_benchmark: 1820.9864, usercpu_time_millis: 134.179, usercpu_time_millis_testing: 8.627, usercpu_time_millis_training: 125.552,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8923, f_measure: 0.8143, kappa: 0.6191, kb_relative_information_score: 20751.5078, mean_absolute_error: 0.2795, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8142, predictive_accuracy: 0.8148, prior_entropy: 0.9835, recall: 0.8148, relative_absolute_error: 0.5721, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3632, root_relative_squared_error: 0.7347, scimark_benchmark: 1823.9331, usercpu_time_millis: 111.203, usercpu_time_millis_testing: 3.925, usercpu_time_millis_training: 107.278,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8795, f_measure: 0.79, kappa: 0.5679, kb_relative_information_score: 15914.1235, mean_absolute_error: 0.337, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.799, predictive_accuracy: 0.7947, prior_entropy: 0.9835, recall: 0.7947, relative_absolute_error: 0.6898, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.385, root_relative_squared_error: 0.7788, scimark_benchmark: 1852.9259, usercpu_time_millis: 106.413, usercpu_time_millis_testing: 10.553, usercpu_time_millis_training: 95.86,
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable). Evaluation Engine Exception: Run description file not present.
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9299, f_measure: 0.8486, kappa: 0.6894, kb_relative_information_score: 24808.0048, mean_absolute_error: 0.2348, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8486, predictive_accuracy: 0.8489, prior_entropy: 0.9835, recall: 0.8489, relative_absolute_error: 0.4804, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3272, root_relative_squared_error: 0.6619, scimark_benchmark: 1842.1399, usercpu_time_millis: 73.084, usercpu_time_millis_testing: 2.136, usercpu_time_millis_training: 70.948,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9328, f_measure: 0.8511, kappa: 0.6944, kb_relative_information_score: 23851.8513, mean_absolute_error: 0.2483, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8514, predictive_accuracy: 0.8517, prior_entropy: 0.9835, recall: 0.8517, relative_absolute_error: 0.5083, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3272, root_relative_squared_error: 0.6619, scimark_benchmark: 1855.4813, usercpu_time_millis: 67.993, usercpu_time_millis_testing: 5.944, usercpu_time_millis_training: 62.049,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8594, f_measure: 0.7789, kappa: 0.5449, kb_relative_information_score: 17612.9091, mean_absolute_error: 0.3149, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7846, predictive_accuracy: 0.7829, prior_entropy: 0.9835, recall: 0.7829, relative_absolute_error: 0.6446, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3874, root_relative_squared_error: 0.7837, scimark_benchmark: 1855.4813, usercpu_time_millis: 68.267, usercpu_time_millis_testing: 4.47, usercpu_time_millis_training: 63.797,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9408, f_measure: 0.8607, kappa: 0.7142, kb_relative_information_score: 25280.3201, mean_absolute_error: 0.2319, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8607, predictive_accuracy: 0.8611, prior_entropy: 0.9835, recall: 0.8611, relative_absolute_error: 0.4747, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3161, root_relative_squared_error: 0.6396, scimark_benchmark: 1854.568, usercpu_time_millis: 63.742, usercpu_time_millis_testing: 4.113, usercpu_time_millis_training: 59.629,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8766, f_measure: 0.799, kappa: 0.5876, kb_relative_information_score: 19388.6235, mean_absolute_error: 0.2948, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7989, predictive_accuracy: 0.7996, prior_entropy: 0.9835, recall: 0.7996, relative_absolute_error: 0.6033, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3748, root_relative_squared_error: 0.7583, scimark_benchmark: 1853.454, usercpu_time_millis: 53.604, usercpu_time_millis_testing: 3.291, usercpu_time_millis_training: 50.313,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9799, f_measure: 0.9284, kappa: 0.8535, kb_relative_information_score: 33730.1652, mean_absolute_error: 0.1364, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.9284, predictive_accuracy: 0.9285, prior_entropy: 0.9835, recall: 0.9285, relative_absolute_error: 0.2792, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.2366, root_relative_squared_error: 0.4787, scimark_benchmark: 1910.4817, usercpu_time_millis: 45.357, usercpu_time_millis_testing: 2.145, usercpu_time_millis_training: 43.212,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8353, f_measure: 0.75, kappa: 0.4868, kb_relative_information_score: 14388.8864, mean_absolute_error: 0.3507, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7666, predictive_accuracy: 0.7588, prior_entropy: 0.9835, recall: 0.7588, relative_absolute_error: 0.7178, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4104, root_relative_squared_error: 0.8304, scimark_benchmark: 1842.598, usercpu_time_millis: 45.4, usercpu_time_millis_testing: 5.817, usercpu_time_millis_training: 39.583,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8465, f_measure: 0.7548, kappa: 0.4964, kb_relative_information_score: 15468.3887, mean_absolute_error: 0.3384, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7694, predictive_accuracy: 0.7627, prior_entropy: 0.9835, recall: 0.7627, relative_absolute_error: 0.6925, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.402, root_relative_squared_error: 0.8134, scimark_benchmark: 1853.454, usercpu_time_millis: 23.511, usercpu_time_millis_testing: 1.513, usercpu_time_millis_training: 21.998,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.4204, kb_relative_information_score: -1.2248, mean_absolute_error: 0.4886, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.3311, predictive_accuracy: 0.5755, prior_entropy: 0.9835, recall: 0.5755, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4943, root_relative_squared_error: 1, scimark_benchmark: 1906.56, usercpu_time_millis: 6.391, usercpu_time_millis_testing: 0.786, usercpu_time_millis_training: 5.605,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8023, f_measure: 0.7447, kappa: 0.478, kb_relative_information_score: 7088.0574, mean_absolute_error: 0.4283, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7721, predictive_accuracy: 0.7568, prior_entropy: 0.9835, recall: 0.7568, relative_absolute_error: 0.8766, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4437, root_relative_squared_error: 0.8976, scimark_benchmark: 1908.824, usercpu_time_millis: 6.773, usercpu_time_millis_testing: 0.588, usercpu_time_millis_training: 6.185,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8778, f_measure: 0.8015, kappa: 0.5914, kb_relative_information_score: 18623.7121, mean_absolute_error: 0.3037, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8045, predictive_accuracy: 0.8039, prior_entropy: 0.9835, recall: 0.8039, relative_absolute_error: 0.6215, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3767, root_relative_squared_error: 0.7622, scimark_benchmark: 1818.4563, usercpu_time_millis: 332.424, usercpu_time_millis_testing: 21.545, usercpu_time_millis_training: 310.879,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9182, f_measure: 0.8352, kappa: 0.6616, kb_relative_information_score: 22647.4774, mean_absolute_error: 0.26, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8355, predictive_accuracy: 0.8359, prior_entropy: 0.9835, recall: 0.8359, relative_absolute_error: 0.5322, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3417, root_relative_squared_error: 0.6912, scimark_benchmark: 1823.4294, usercpu_time_millis: 215.281, usercpu_time_millis_testing: 14.892, usercpu_time_millis_training: 200.389,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8722, f_measure: 0.7817, kappa: 0.5508, kb_relative_information_score: 17510.1482, mean_absolute_error: 0.3166, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7912, predictive_accuracy: 0.7868, prior_entropy: 0.9835, recall: 0.7868, relative_absolute_error: 0.648, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3829, root_relative_squared_error: 0.7748, scimark_benchmark: 1941.7215, usercpu_time_millis: 180.534, usercpu_time_millis_testing: 15.012, usercpu_time_millis_training: 165.522,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8693, f_measure: 0.7846, kappa: 0.5566, kb_relative_information_score: 17939.2016, mean_absolute_error: 0.3111, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7905, predictive_accuracy: 0.7885, prior_entropy: 0.9835, recall: 0.7885, relative_absolute_error: 0.6368, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3826, root_relative_squared_error: 0.7741, scimark_benchmark: 1941.2692, usercpu_time_millis: 175.053, usercpu_time_millis_testing: 14.281, usercpu_time_millis_training: 160.772,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.868, f_measure: 0.7906, kappa: 0.5692, kb_relative_information_score: 18167.9156, mean_absolute_error: 0.3084, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7924, predictive_accuracy: 0.7927, prior_entropy: 0.9835, recall: 0.7927, relative_absolute_error: 0.6311, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3823, root_relative_squared_error: 0.7735, scimark_benchmark: 1836.6789, usercpu_time_millis: 162.096, usercpu_time_millis_testing: 16.026, usercpu_time_millis_training: 146.07,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8713, f_measure: 0.7804, kappa: 0.5481, kb_relative_information_score: 17725.6536, mean_absolute_error: 0.3138, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7899, predictive_accuracy: 0.7855, prior_entropy: 0.9835, recall: 0.7855, relative_absolute_error: 0.6421, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3827, root_relative_squared_error: 0.7744, scimark_benchmark: 789.3389, usercpu_time_millis: 136.678, usercpu_time_millis_testing: 12.005, usercpu_time_millis_training: 124.673,

Metric:

Timeline

Plotting contribution timeline

Leaderboard

Rank Name Top Score Entries Highest rank

Note: The leaderboard ignores resubmissions of previous solutions, as well as parameter variations that do not improve performance.

Challenge

In supervised classification, you are given an input dataset in which instances are labeled with a certain class. The goal is to build a model that predicts the class for future unlabeled instances. The model is evaluated using a train-test procedure, e.g. cross-validation.

To make results by different users comparable, you are given the exact train-test folds to be used, and you need to return at least the predictions generated by your model for each of the test instances. OpenML will use these predictions to calculate a range of evaluation measures on the server.

You can also upload your own evaluation measures, provided that the code for doing so is available from the implementation used. For extremely large datasets, it may be infeasible to upload all predictions. In those cases, you need to compute and provide the evaluations yourself.

Optionally, you can upload the model trained on all the input data. There is no restriction on the file format, but please use a well-known format or PMML.

Given inputs

Expected outputs

evaluations A list of user-defined evaluations of the task as key-value pairs. KeyValue (optional)
model A file containing the model built on all the input data. File (optional)
predictions The desired output format Predictions (optional)

How to submit runs

Using your favorite machine learning environment

Download this task directly in your environment and automatically upload your results

OpenML bootcamp

From your own software

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

OpenML APIs