OpenML
Supervised Classification on disclosure_x_bias

Supervised Classification on disclosure_x_bias

Task 3640 Supervised Classification disclosure_x_bias 572 runs submitted
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  • mythbusting_1 study_1 study_107 study_15 study_20 study_41 study_7 under100k under1m
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5153, f_measure: 0.5159, kappa: 0.0319, kb_relative_information_score: 7.247, mean_absolute_error: 0.4946, mean_prior_absolute_error: 0.4991, number_of_instances: 662, precision: 0.5171, predictive_accuracy: 0.5196, prior_entropy: 0.9987, recall: 0.5196, relative_absolute_error: 0.991, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.5216, root_relative_squared_error: 1.0441, scimark_benchmark: 1327.2954, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5153, f_measure: 0.5159, kappa: 0.0319, kb_relative_information_score: 7.247, mean_absolute_error: 0.4946, mean_prior_absolute_error: 0.4991, number_of_instances: 662, precision: 0.5171, predictive_accuracy: 0.5196, prior_entropy: 0.9987, recall: 0.5196, relative_absolute_error: 0.991, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.5216, root_relative_squared_error: 1.0441, scimark_benchmark: 916.6405, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4931, f_measure: 0.3571, kb_relative_information_score: -0.0156, mean_absolute_error: 0.4991, mean_prior_absolute_error: 0.4991, number_of_instances: 662, precision: 0.2716, predictive_accuracy: 0.5211, prior_entropy: 0.9987, recall: 0.5211, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.4996, root_relative_squared_error: 1, scimark_benchmark: 1335.643,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5231, f_measure: 0.5124, kappa: 0.0272, kb_relative_information_score: 4.7277, mean_absolute_error: 0.4964, mean_prior_absolute_error: 0.4991, number_of_instances: 662, precision: 0.5149, predictive_accuracy: 0.5181, prior_entropy: 0.9987, recall: 0.5181, relative_absolute_error: 0.9946, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.5027, root_relative_squared_error: 1.0063, scimark_benchmark: 1311.9814, usercpu_time_millis: 200, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 150,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.53, f_measure: 0.5206, kappa: 0.0411, kb_relative_information_score: 6.1137, mean_absolute_error: 0.4957, mean_prior_absolute_error: 0.4991, number_of_instances: 662, precision: 0.5218, predictive_accuracy: 0.5242, prior_entropy: 0.9987, recall: 0.5242, relative_absolute_error: 0.9931, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.5023, root_relative_squared_error: 1.0054, scimark_benchmark: 1352.2099, usercpu_time_millis: 90, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5332, f_measure: 0.5325, kappa: 0.0652, kb_relative_information_score: 6.6683, mean_absolute_error: 0.4955, mean_prior_absolute_error: 0.4991, number_of_instances: 662, precision: 0.5341, predictive_accuracy: 0.5363, prior_entropy: 0.9987, recall: 0.5363, relative_absolute_error: 0.9927, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.5025, root_relative_squared_error: 1.0059, scimark_benchmark: 1347.993, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4931, f_measure: 0.3571, kb_relative_information_score: -0.0156, mean_absolute_error: 0.4991, mean_prior_absolute_error: 0.4991, number_of_instances: 662, precision: 0.2716, predictive_accuracy: 0.5211, prior_entropy: 0.9987, recall: 0.5211, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.4996, root_relative_squared_error: 1, scimark_benchmark: 1327.035,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5211, f_measure: 0.5303, kappa: 0.0616, kb_relative_information_score: 3.0089, mean_absolute_error: 0.4976, mean_prior_absolute_error: 0.4991, number_of_instances: 662, precision: 0.5324, predictive_accuracy: 0.5347, prior_entropy: 0.9987, recall: 0.5347, relative_absolute_error: 0.997, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.5071, root_relative_squared_error: 1.0151, scimark_benchmark: 1342.4239, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5341, f_measure: 0.5363, kappa: 0.0708, kb_relative_information_score: 34.4834, mean_absolute_error: 0.4739, mean_prior_absolute_error: 0.4991, number_of_instances: 662, precision: 0.5364, predictive_accuracy: 0.5378, prior_entropy: 0.9987, recall: 0.5378, relative_absolute_error: 0.9494, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.633, root_relative_squared_error: 1.2671, scimark_benchmark: 854.5188, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4931, f_measure: 0.3571, kb_relative_information_score: -0.0156, mean_absolute_error: 0.4991, mean_prior_absolute_error: 0.4991, number_of_instances: 662, precision: 0.2716, predictive_accuracy: 0.5211, prior_entropy: 0.9987, recall: 0.5211, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.4996, root_relative_squared_error: 1, scimark_benchmark: 1334.4761, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5648, f_measure: 0.5655, kappa: 0.1302, kb_relative_information_score: 88.5247, mean_absolute_error: 0.432, mean_prior_absolute_error: 0.4991, number_of_instances: 662, precision: 0.5667, predictive_accuracy: 0.568, prior_entropy: 0.9987, recall: 0.568, relative_absolute_error: 0.8656, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.6573, root_relative_squared_error: 1.3157, scimark_benchmark: 1371.9645, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5211, f_measure: 0.5303, kappa: 0.0616, kb_relative_information_score: 3.0089, mean_absolute_error: 0.4976, mean_prior_absolute_error: 0.4991, number_of_instances: 662, precision: 0.5324, predictive_accuracy: 0.5347, prior_entropy: 0.9987, recall: 0.5347, relative_absolute_error: 0.997, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.5071, root_relative_squared_error: 1.0151, scimark_benchmark: 883.2709, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5153, f_measure: 0.5159, kappa: 0.0319, kb_relative_information_score: 7.247, mean_absolute_error: 0.4946, mean_prior_absolute_error: 0.4991, number_of_instances: 662, precision: 0.5171, predictive_accuracy: 0.5196, prior_entropy: 0.9987, recall: 0.5196, relative_absolute_error: 0.991, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.5216, root_relative_squared_error: 1.0441, scimark_benchmark: 1328.941, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4931, f_measure: 0.3571, kb_relative_information_score: -0.0184, mean_absolute_error: 0.4991, mean_prior_absolute_error: 0.4991, number_of_instances: 662, precision: 0.2716, predictive_accuracy: 0.5211, prior_entropy: 0.9987, recall: 0.5211, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.4996, root_relative_squared_error: 1, scimark_benchmark: 935.5075,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4931, f_measure: 0.3571, kb_relative_information_score: -0.0156, mean_absolute_error: 0.4991, mean_prior_absolute_error: 0.4991, number_of_instances: 662, precision: 0.2716, predictive_accuracy: 0.5211, prior_entropy: 0.9987, recall: 0.5211, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.4996, root_relative_squared_error: 1, scimark_benchmark: 1330.2021,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5211, f_measure: 0.5303, kappa: 0.0616, kb_relative_information_score: 3.0089, mean_absolute_error: 0.4976, mean_prior_absolute_error: 0.4991, number_of_instances: 662, precision: 0.5324, predictive_accuracy: 0.5347, prior_entropy: 0.9987, recall: 0.5347, relative_absolute_error: 0.997, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.5071, root_relative_squared_error: 1.0151, scimark_benchmark: 904.3681, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4639, f_measure: 0.4666, kappa: -0.0677, kb_relative_information_score: -27.6757, mean_absolute_error: 0.5179, mean_prior_absolute_error: 0.4991, number_of_instances: 662, precision: 0.4666, predictive_accuracy: 0.4698, prior_entropy: 0.9987, recall: 0.4698, relative_absolute_error: 1.0376, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.6065, root_relative_squared_error: 1.214, scimark_benchmark: 1319.4881, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5766, f_measure: 0.5549, kappa: 0.109, kb_relative_information_score: 16.8794, mean_absolute_error: 0.4893, mean_prior_absolute_error: 0.4991, number_of_instances: 662, precision: 0.556, predictive_accuracy: 0.5574, prior_entropy: 0.9987, recall: 0.5574, relative_absolute_error: 0.9803, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.4958, root_relative_squared_error: 0.9925, scimark_benchmark: 896.937, usercpu_time_millis: 80, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5477, f_measure: 0.5378, kappa: 0.0769, kb_relative_information_score: 7.0441, mean_absolute_error: 0.4956, mean_prior_absolute_error: 0.4991, number_of_instances: 662, precision: 0.5395, predictive_accuracy: 0.5378, prior_entropy: 0.9987, recall: 0.5378, relative_absolute_error: 0.993, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.5045, root_relative_squared_error: 1.01, scimark_benchmark: 904.3681, usercpu_time_millis: 650, usercpu_time_millis_testing: 650,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5111, f_measure: 0.5121, kappa: 0.0223, kb_relative_information_score: 14.3345, mean_absolute_error: 0.4879, mean_prior_absolute_error: 0.4991, number_of_instances: 662, precision: 0.512, predictive_accuracy: 0.5121, prior_entropy: 0.9987, recall: 0.5121, relative_absolute_error: 0.9776, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.6985, root_relative_squared_error: 1.3983, scimark_benchmark: 1296.8947, usercpu_time_millis: 30, usercpu_time_millis_testing: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4931, f_measure: 0.3571, kb_relative_information_score: 0.0491, mean_absolute_error: 0.4991, mean_prior_absolute_error: 0.4991, number_of_instances: 662, precision: 0.2716, predictive_accuracy: 0.5211, prior_entropy: 0.9987, recall: 0.5211, relative_absolute_error: 0.9999, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.4996, root_relative_squared_error: 1, scimark_benchmark: 1317.0962, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5211, f_measure: 0.5303, kappa: 0.0616, kb_relative_information_score: 3.0089, mean_absolute_error: 0.4976, mean_prior_absolute_error: 0.4991, number_of_instances: 662, precision: 0.5324, predictive_accuracy: 0.5347, prior_entropy: 0.9987, recall: 0.5347, relative_absolute_error: 0.997, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.5071, root_relative_squared_error: 1.0151, scimark_benchmark: 1340.4336,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5445, f_measure: 0.5383, kappa: 0.0757, kb_relative_information_score: 53.3586, mean_absolute_error: 0.4584, mean_prior_absolute_error: 0.4991, number_of_instances: 662, precision: 0.5391, predictive_accuracy: 0.5408, prior_entropy: 0.9987, recall: 0.5408, relative_absolute_error: 0.9185, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.6553, root_relative_squared_error: 1.3119, scimark_benchmark: 1059.8591, usercpu_time_millis: 70, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5269, f_measure: 0.511, kappa: 0.0243, kb_relative_information_score: 5.4575, mean_absolute_error: 0.496, mean_prior_absolute_error: 0.4991, number_of_instances: 662, precision: 0.5134, predictive_accuracy: 0.5166, prior_entropy: 0.9987, recall: 0.5166, relative_absolute_error: 0.9938, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.5023, root_relative_squared_error: 1.0054, scimark_benchmark: 1308.3432, usercpu_time_millis: 340, usercpu_time_millis_testing: 90, usercpu_time_millis_training: 250,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5367, f_measure: 0.5245, kappa: 0.047, kb_relative_information_score: 20.0911, mean_absolute_error: 0.4855, mean_prior_absolute_error: 0.4991, number_of_instances: 662, precision: 0.5244, predictive_accuracy: 0.5257, prior_entropy: 0.9987, recall: 0.5257, relative_absolute_error: 0.9727, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.5206, root_relative_squared_error: 1.042, scimark_benchmark: 1358.4523, usercpu_time_millis: 100, usercpu_time_millis_training: 100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5581, f_measure: 0.5474, kappa: 0.0929, kb_relative_information_score: 22.8052, mean_absolute_error: 0.4846, mean_prior_absolute_error: 0.4991, number_of_instances: 662, precision: 0.5474, predictive_accuracy: 0.5483, prior_entropy: 0.9987, recall: 0.5483, relative_absolute_error: 0.971, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.5072, root_relative_squared_error: 1.0153, scimark_benchmark: 855.8522, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5307, f_measure: 0.5223, kappa: 0.0426, kb_relative_information_score: 10.2975, mean_absolute_error: 0.4928, mean_prior_absolute_error: 0.4991, number_of_instances: 662, precision: 0.5222, predictive_accuracy: 0.5227, prior_entropy: 0.9987, recall: 0.5227, relative_absolute_error: 0.9874, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.51, root_relative_squared_error: 1.0209, scimark_benchmark: 1311.1837, usercpu_time_millis: 380, usercpu_time_millis_testing: 70, usercpu_time_millis_training: 310,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5177, f_measure: 0.5161, kappa: 0.0357, kb_relative_information_score: 28.3705, mean_absolute_error: 0.4773, mean_prior_absolute_error: 0.4991, number_of_instances: 662, precision: 0.5194, predictive_accuracy: 0.5227, prior_entropy: 0.9987, recall: 0.5227, relative_absolute_error: 0.9564, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.6909, root_relative_squared_error: 1.383, scimark_benchmark: 1335.5424, usercpu_time_millis: 130, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4931, f_measure: 0.3571, kb_relative_information_score: -0.0184, mean_absolute_error: 0.4991, mean_prior_absolute_error: 0.4991, number_of_instances: 662, precision: 0.2716, predictive_accuracy: 0.5211, prior_entropy: 0.9987, recall: 0.5211, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.4996, root_relative_squared_error: 1, scimark_benchmark: 1262.9237,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4921, f_measure: 0.4696, kappa: -0.0102, kb_relative_information_score: -1.1858, mean_absolute_error: 0.4997, mean_prior_absolute_error: 0.4991, number_of_instances: 662, precision: 0.4942, predictive_accuracy: 0.506, prior_entropy: 0.9987, recall: 0.506, relative_absolute_error: 1.0012, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.5034, root_relative_squared_error: 1.0078, scimark_benchmark: 1303.6621, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4921, f_measure: 0.4696, kappa: -0.0102, kb_relative_information_score: -1.1858, mean_absolute_error: 0.4997, mean_prior_absolute_error: 0.4991, number_of_instances: 662, precision: 0.4942, predictive_accuracy: 0.506, prior_entropy: 0.9987, recall: 0.506, relative_absolute_error: 1.0012, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.5034, root_relative_squared_error: 1.0078, scimark_benchmark: 934.4732,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4931, f_measure: 0.3571, kb_relative_information_score: -0.0156, mean_absolute_error: 0.4991, mean_prior_absolute_error: 0.4991, number_of_instances: 662, precision: 0.2716, predictive_accuracy: 0.5211, prior_entropy: 0.9987, recall: 0.5211, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.4996, root_relative_squared_error: 1, scimark_benchmark: 1340.1351,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5781, f_measure: 0.5591, kappa: 0.1171, kb_relative_information_score: 20.5497, mean_absolute_error: 0.4866, mean_prior_absolute_error: 0.4991, number_of_instances: 662, precision: 0.5594, predictive_accuracy: 0.5589, prior_entropy: 0.9987, recall: 0.5589, relative_absolute_error: 0.9749, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.4962, root_relative_squared_error: 0.9933, scimark_benchmark: 1339.944,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5782, f_measure: 0.5561, kappa: 0.1111, kb_relative_information_score: 20.5993, mean_absolute_error: 0.4866, mean_prior_absolute_error: 0.4991, number_of_instances: 662, precision: 0.5564, predictive_accuracy: 0.5559, prior_entropy: 0.9987, recall: 0.5559, relative_absolute_error: 0.9749, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.4962, root_relative_squared_error: 0.9933, scimark_benchmark: 889.3151, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5586, f_measure: 0.5496, kappa: 0.0991, kb_relative_information_score: 14.2821, mean_absolute_error: 0.4908, mean_prior_absolute_error: 0.4991, number_of_instances: 662, precision: 0.5512, predictive_accuracy: 0.5529, prior_entropy: 0.9987, recall: 0.5529, relative_absolute_error: 0.9834, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.4993, root_relative_squared_error: 0.9994, scimark_benchmark: 1313.9606, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5766, f_measure: 0.5549, kappa: 0.109, kb_relative_information_score: 16.8819, mean_absolute_error: 0.4893, mean_prior_absolute_error: 0.4991, number_of_instances: 662, precision: 0.556, predictive_accuracy: 0.5574, prior_entropy: 0.9987, recall: 0.5574, relative_absolute_error: 0.9803, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.4958, root_relative_squared_error: 0.9925, scimark_benchmark: 923.6051, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5096, f_measure: 0.5198, kappa: 0.0403, kb_relative_information_score: 2.9049, mean_absolute_error: 0.4973, mean_prior_absolute_error: 0.4991, number_of_instances: 662, precision: 0.5211, predictive_accuracy: 0.5196, prior_entropy: 0.9987, recall: 0.5196, relative_absolute_error: 0.9965, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.5317, root_relative_squared_error: 1.0644, scimark_benchmark: 986.8456, usercpu_time_millis: 3590, usercpu_time_millis_testing: 3590,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5153, f_measure: 0.512, kappa: 0.0354, kb_relative_information_score: 5.0441, mean_absolute_error: 0.4963, mean_prior_absolute_error: 0.4991, number_of_instances: 662, precision: 0.52, predictive_accuracy: 0.5242, prior_entropy: 0.9987, recall: 0.5242, relative_absolute_error: 0.9943, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.539, root_relative_squared_error: 1.0789, scimark_benchmark: 1327.6929, usercpu_time_millis: 50, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4737, f_measure: 0.4728, kappa: -0.0524, kb_relative_information_score: -37.7992, mean_absolute_error: 0.5272, mean_prior_absolute_error: 0.4991, number_of_instances: 662, precision: 0.4746, predictive_accuracy: 0.4728, prior_entropy: 0.9987, recall: 0.4728, relative_absolute_error: 1.0563, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.7261, root_relative_squared_error: 1.4535, scimark_benchmark: 1291.6995, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3571, kb_relative_information_score: 26.3653, mean_absolute_error: 0.4789, mean_prior_absolute_error: 0.4991, number_of_instances: 662, precision: 0.2716, predictive_accuracy: 0.5211, prior_entropy: 0.9987, recall: 0.5211, relative_absolute_error: 0.9594, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.692, root_relative_squared_error: 1.3852, scimark_benchmark: 1335.4072, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4931, f_measure: 0.3571, kb_relative_information_score: -0.0156, mean_absolute_error: 0.4991, mean_prior_absolute_error: 0.4991, number_of_instances: 662, precision: 0.2716, predictive_accuracy: 0.5211, prior_entropy: 0.9987, recall: 0.5211, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.4996, root_relative_squared_error: 1, scimark_benchmark: 1358.4523,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4787, f_measure: 0.4792, kappa: -0.0428, kb_relative_information_score: -25.7683, mean_absolute_error: 0.5181, mean_prior_absolute_error: 0.4991, number_of_instances: 662, precision: 0.4793, predictive_accuracy: 0.4819, prior_entropy: 0.9987, recall: 0.4819, relative_absolute_error: 1.0381, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.7198, root_relative_squared_error: 1.4409, scimark_benchmark: 1351.788,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5253, f_measure: 0.5205, kappa: 0.0511, kb_relative_information_score: 40.4013, mean_absolute_error: 0.4683, mean_prior_absolute_error: 0.4991, number_of_instances: 662, precision: 0.5284, predictive_accuracy: 0.5317, prior_entropy: 0.9987, recall: 0.5317, relative_absolute_error: 0.9382, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.6843, root_relative_squared_error: 1.3698, scimark_benchmark: 1353.5686, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4931, f_measure: 0.3571, kb_relative_information_score: -0.0213, mean_absolute_error: 0.4991, mean_prior_absolute_error: 0.4991, number_of_instances: 662, precision: 0.2716, predictive_accuracy: 0.5211, prior_entropy: 0.9987, recall: 0.5211, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.4996, root_relative_squared_error: 1, scimark_benchmark: 1358.4955,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4931, f_measure: 0.3571, kb_relative_information_score: -0.0156, mean_absolute_error: 0.4991, mean_prior_absolute_error: 0.4991, number_of_instances: 662, precision: 0.2716, predictive_accuracy: 0.5211, prior_entropy: 0.9987, recall: 0.5211, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.4996, root_relative_squared_error: 1, scimark_benchmark: 1465.2979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5502, f_measure: 0.5394, kappa: 0.0777, kb_relative_information_score: 20.1259, mean_absolute_error: 0.4865, mean_prior_absolute_error: 0.4991, number_of_instances: 662, precision: 0.5397, predictive_accuracy: 0.5393, prior_entropy: 0.9987, recall: 0.5393, relative_absolute_error: 0.9748, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.5076, root_relative_squared_error: 1.0162, scimark_benchmark: 931.2336, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5385, f_measure: 0.5561, kappa: 0.1111, kb_relative_information_score: 12.8682, mean_absolute_error: 0.4919, mean_prior_absolute_error: 0.4991, number_of_instances: 662, precision: 0.5564, predictive_accuracy: 0.5559, prior_entropy: 0.9987, recall: 0.5559, relative_absolute_error: 0.9855, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.4982, root_relative_squared_error: 0.9974, scimark_benchmark: 945.6434, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5385, f_measure: 0.5561, kappa: 0.1111, kb_relative_information_score: 12.8682, mean_absolute_error: 0.4919, mean_prior_absolute_error: 0.4991, number_of_instances: 662, precision: 0.5564, predictive_accuracy: 0.5559, prior_entropy: 0.9987, recall: 0.5559, relative_absolute_error: 0.9855, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.4982, root_relative_squared_error: 0.9974, scimark_benchmark: 941.7954, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5385, f_measure: 0.5561, kappa: 0.1111, kb_relative_information_score: 12.8682, mean_absolute_error: 0.4919, mean_prior_absolute_error: 0.4991, number_of_instances: 662, precision: 0.5564, predictive_accuracy: 0.5559, prior_entropy: 0.9987, recall: 0.5559, relative_absolute_error: 0.9855, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.4982, root_relative_squared_error: 0.9974, scimark_benchmark: 923.7642, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5385, f_measure: 0.5561, kappa: 0.1111, kb_relative_information_score: 12.8682, mean_absolute_error: 0.4919, mean_prior_absolute_error: 0.4991, number_of_instances: 662, precision: 0.5564, predictive_accuracy: 0.5559, prior_entropy: 0.9987, recall: 0.5559, relative_absolute_error: 0.9855, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.4982, root_relative_squared_error: 0.9974, scimark_benchmark: 894.7455, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.543, f_measure: 0.544, kappa: 0.0869, kb_relative_information_score: 26.7341, mean_absolute_error: 0.4816, mean_prior_absolute_error: 0.4991, number_of_instances: 662, precision: 0.5443, predictive_accuracy: 0.5438, prior_entropy: 0.9987, recall: 0.5438, relative_absolute_error: 0.965, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.5407, root_relative_squared_error: 1.0824, scimark_benchmark: 936.7115, usercpu_time_millis: 210, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 200,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5434, f_measure: 0.5408, kappa: 0.0802, kb_relative_information_score: 27.4487, mean_absolute_error: 0.481, mean_prior_absolute_error: 0.4991, number_of_instances: 662, precision: 0.5409, predictive_accuracy: 0.5408, prior_entropy: 0.9987, recall: 0.5408, relative_absolute_error: 0.9637, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.5402, root_relative_squared_error: 1.0814, scimark_benchmark: 943.2817, usercpu_time_millis: 100, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 90,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5377, f_measure: 0.5319, kappa: 0.063, kb_relative_information_score: 22.6525, mean_absolute_error: 0.4838, mean_prior_absolute_error: 0.4991, number_of_instances: 662, precision: 0.5323, predictive_accuracy: 0.5317, prior_entropy: 0.9987, recall: 0.5317, relative_absolute_error: 0.9694, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.5317, root_relative_squared_error: 1.0643, scimark_benchmark: 942.1229, usercpu_time_millis: 50, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5354, f_measure: 0.535, kappa: 0.0681, kb_relative_information_score: 20.5529, mean_absolute_error: 0.4853, mean_prior_absolute_error: 0.4991, number_of_instances: 662, precision: 0.5351, predictive_accuracy: 0.5363, prior_entropy: 0.9987, recall: 0.5363, relative_absolute_error: 0.9723, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.5333, root_relative_squared_error: 1.0675, scimark_benchmark: 922.9039, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5416, f_measure: 0.5327, kappa: 0.0697, kb_relative_information_score: 16.6831, mean_absolute_error: 0.4884, mean_prior_absolute_error: 0.4991, number_of_instances: 662, precision: 0.5362, predictive_accuracy: 0.5332, prior_entropy: 0.9987, recall: 0.5332, relative_absolute_error: 0.9785, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.5234, root_relative_squared_error: 1.0477, scimark_benchmark: 938.4278, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5367, f_measure: 0.5245, kappa: 0.047, kb_relative_information_score: 20.0911, mean_absolute_error: 0.4855, mean_prior_absolute_error: 0.4991, number_of_instances: 662, precision: 0.5244, predictive_accuracy: 0.5257, prior_entropy: 0.9987, recall: 0.5257, relative_absolute_error: 0.9727, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.5206, root_relative_squared_error: 1.042, scimark_benchmark: 936.6206, usercpu_time_millis: 130, usercpu_time_millis_training: 130,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5426, f_measure: 0.519, kappa: 0.0358, kb_relative_information_score: 19.3845, mean_absolute_error: 0.4863, mean_prior_absolute_error: 0.4991, number_of_instances: 662, precision: 0.5188, predictive_accuracy: 0.5196, prior_entropy: 0.9987, recall: 0.5196, relative_absolute_error: 0.9742, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.5139, root_relative_squared_error: 1.0287, scimark_benchmark: 924.6116, usercpu_time_millis: 50, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5581, f_measure: 0.5474, kappa: 0.0929, kb_relative_information_score: 22.8052, mean_absolute_error: 0.4846, mean_prior_absolute_error: 0.4991, number_of_instances: 662, precision: 0.5474, predictive_accuracy: 0.5483, prior_entropy: 0.9987, recall: 0.5483, relative_absolute_error: 0.971, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.5072, root_relative_squared_error: 1.0153, scimark_benchmark: 924.6116, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5491, f_measure: 0.5329, kappa: 0.0637, kb_relative_information_score: 17.6957, mean_absolute_error: 0.4879, mean_prior_absolute_error: 0.4991, number_of_instances: 662, precision: 0.5327, predictive_accuracy: 0.5332, prior_entropy: 0.9987, recall: 0.5332, relative_absolute_error: 0.9776, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.5067, root_relative_squared_error: 1.0144, scimark_benchmark: 947.9494, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5504, f_measure: 0.5463, kappa: 0.0906, kb_relative_information_score: 16.0283, mean_absolute_error: 0.4893, mean_prior_absolute_error: 0.4991, number_of_instances: 662, precision: 0.5462, predictive_accuracy: 0.5468, prior_entropy: 0.9987, recall: 0.5468, relative_absolute_error: 0.9804, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.5061, root_relative_squared_error: 1.0131, scimark_benchmark: 929.566,

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