Task
Supervised Classification on disclosure_z

Supervised Classification on disclosure_z

Task 3794 Supervised Classification disclosure_z 585 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: 0.5679, f_measure: 0.5555, kappa: 0.1083, kb_relative_information_score: 17.5088, mean_absolute_error: 0.4879, mean_prior_absolute_error: 0.4987, number_of_instances: 662, precision: 0.5554, predictive_accuracy: 0.5559, prior_entropy: 0.9981, recall: 0.5559, relative_absolute_error: 0.9783, root_mean_prior_squared_error: 0.4993, root_mean_squared_error: 0.498, root_relative_squared_error: 0.9974,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5468, f_measure: 0.5555, kappa: 0.1083, kb_relative_information_score: 13.6044, mean_absolute_error: 0.4909, mean_prior_absolute_error: 0.4987, number_of_instances: 662, precision: 0.5554, predictive_accuracy: 0.5559, prior_entropy: 0.9981, recall: 0.5559, relative_absolute_error: 0.9845, root_mean_prior_squared_error: 0.4993, root_mean_squared_error: 0.4974, root_relative_squared_error: 0.996,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5418, f_measure: 0.5381, kappa: 0.0786, kb_relative_information_score: 13.3405, mean_absolute_error: 0.4909, mean_prior_absolute_error: 0.4987, number_of_instances: 662, precision: 0.5423, predictive_accuracy: 0.5453, prior_entropy: 0.9981, recall: 0.5453, relative_absolute_error: 0.9843, root_mean_prior_squared_error: 0.4993, root_mean_squared_error: 0.5029, root_relative_squared_error: 1.0071,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5619, f_measure: 0.5479, kappa: 0.0931, kb_relative_information_score: 16.1002, mean_absolute_error: 0.4888, mean_prior_absolute_error: 0.4987, number_of_instances: 662, precision: 0.5481, predictive_accuracy: 0.5498, prior_entropy: 0.9981, recall: 0.5498, relative_absolute_error: 0.9802, root_mean_prior_squared_error: 0.4993, root_mean_squared_error: 0.497, root_relative_squared_error: 0.9954,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.538, f_measure: 0.5316, kappa: 0.0626, kb_relative_information_score: 12.5018, mean_absolute_error: 0.4912, mean_prior_absolute_error: 0.4987, number_of_instances: 662, precision: 0.5333, predictive_accuracy: 0.5363, prior_entropy: 0.9981, recall: 0.5363, relative_absolute_error: 0.9851, root_mean_prior_squared_error: 0.4993, root_mean_squared_error: 0.5031, root_relative_squared_error: 1.0075,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5023, kappa: 0.0014, kb_relative_information_score: -0.6744, mean_absolute_error: 0.4989, mean_prior_absolute_error: 0.4987, number_of_instances: 662, precision: 0.502, predictive_accuracy: 0.503, prior_entropy: 0.9981, recall: 0.503, relative_absolute_error: 1.0003, root_mean_prior_squared_error: 0.4993, root_mean_squared_error: 0.5388, root_relative_squared_error: 1.0791,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4939, f_measure: 0.3623, kb_relative_information_score: -0.0107, mean_absolute_error: 0.4987, mean_prior_absolute_error: 0.4987, number_of_instances: 662, precision: 0.2763, predictive_accuracy: 0.5257, prior_entropy: 0.9981, recall: 0.5257, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4993, root_mean_squared_error: 0.4993, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5566, f_measure: 0.5571, kappa: 0.1115, kb_relative_information_score: 16.2852, mean_absolute_error: 0.4894, mean_prior_absolute_error: 0.4987, number_of_instances: 662, precision: 0.5569, predictive_accuracy: 0.5574, prior_entropy: 0.9981, recall: 0.5574, relative_absolute_error: 0.9813, root_mean_prior_squared_error: 0.4993, root_mean_squared_error: 0.4974, root_relative_squared_error: 0.9962,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5045, f_measure: 0.4948, kappa: 0.055, kb_relative_information_score: 5.2119, mean_absolute_error: 0.4957, mean_prior_absolute_error: 0.4987, number_of_instances: 662, precision: 0.5424, predictive_accuracy: 0.5423, prior_entropy: 0.9981, recall: 0.5423, relative_absolute_error: 0.994, root_mean_prior_squared_error: 0.4993, root_mean_squared_error: 0.498, root_relative_squared_error: 0.9973,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5001, f_measure: 0.4865, kappa: -0.0248, kb_relative_information_score: -2.3829, mean_absolute_error: 0.4998, mean_prior_absolute_error: 0.4987, number_of_instances: 662, precision: 0.4888, predictive_accuracy: 0.4864, prior_entropy: 0.9981, recall: 0.4864, relative_absolute_error: 1.0022, root_mean_prior_squared_error: 0.4993, root_mean_squared_error: 0.5341, root_relative_squared_error: 1.0696,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5338, f_measure: 0.5209, kappa: 0.039, kb_relative_information_score: 6.139, mean_absolute_error: 0.4946, mean_prior_absolute_error: 0.4987, number_of_instances: 662, precision: 0.5208, predictive_accuracy: 0.5211, prior_entropy: 0.9981, recall: 0.5211, relative_absolute_error: 0.9919, root_mean_prior_squared_error: 0.4993, root_mean_squared_error: 0.4986, root_relative_squared_error: 0.9985,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.462, f_measure: 0.4714, kappa: -0.0606, kb_relative_information_score: -20.9257, mean_absolute_error: 0.5121, mean_prior_absolute_error: 0.4987, number_of_instances: 662, precision: 0.471, predictive_accuracy: 0.4728, prior_entropy: 0.9981, recall: 0.4728, relative_absolute_error: 1.0268, root_mean_prior_squared_error: 0.4993, root_mean_squared_error: 0.5466, root_relative_squared_error: 1.0946,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4939, f_measure: 0.3623, kb_relative_information_score: -0.0193, mean_absolute_error: 0.4987, mean_prior_absolute_error: 0.4987, number_of_instances: 662, precision: 0.2763, predictive_accuracy: 0.5257, prior_entropy: 0.9981, recall: 0.5257, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4993, root_mean_squared_error: 0.4993, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.567, f_measure: 0.552, kappa: 0.1081, kb_relative_information_score: 66.5784, mean_absolute_error: 0.4503, mean_prior_absolute_error: 0.4987, number_of_instances: 662, precision: 0.5582, predictive_accuracy: 0.5604, prior_entropy: 0.9981, recall: 0.5604, relative_absolute_error: 0.903, root_mean_prior_squared_error: 0.4993, root_mean_squared_error: 0.577, root_relative_squared_error: 1.1554,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5294, f_measure: 0.534, kappa: 0.0681, kb_relative_information_score: 5.5992, mean_absolute_error: 0.4954, mean_prior_absolute_error: 0.4987, number_of_instances: 662, precision: 0.5363, predictive_accuracy: 0.5393, prior_entropy: 0.9981, recall: 0.5393, relative_absolute_error: 0.9934, root_mean_prior_squared_error: 0.4993, root_mean_squared_error: 0.5027, root_relative_squared_error: 1.0067,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5363, f_measure: 0.529, kappa: 0.0585, kb_relative_information_score: 10.0656, mean_absolute_error: 0.4924, mean_prior_absolute_error: 0.4987, number_of_instances: 662, precision: 0.5315, predictive_accuracy: 0.5347, prior_entropy: 0.9981, recall: 0.5347, relative_absolute_error: 0.9874, root_mean_prior_squared_error: 0.4993, root_mean_squared_error: 0.5037, root_relative_squared_error: 1.0087,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4939, f_measure: 0.3623, kb_relative_information_score: -0.0193, mean_absolute_error: 0.4987, mean_prior_absolute_error: 0.4987, number_of_instances: 662, precision: 0.2763, predictive_accuracy: 0.5257, prior_entropy: 0.9981, recall: 0.5257, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4993, root_mean_squared_error: 0.4993, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5529, f_measure: 0.5454, kappa: 0.0879, kb_relative_information_score: 31.5706, mean_absolute_error: 0.478, mean_prior_absolute_error: 0.4987, number_of_instances: 662, precision: 0.5454, predictive_accuracy: 0.5468, prior_entropy: 0.9981, recall: 0.5468, relative_absolute_error: 0.9584, root_mean_prior_squared_error: 0.4993, root_mean_squared_error: 0.5316, root_relative_squared_error: 1.0646,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.489, f_measure: 0.5023, kappa: 0.0014, kb_relative_information_score: -5.9362, mean_absolute_error: 0.5027, mean_prior_absolute_error: 0.4987, number_of_instances: 662, precision: 0.502, predictive_accuracy: 0.503, prior_entropy: 0.9981, recall: 0.503, relative_absolute_error: 1.0081, root_mean_prior_squared_error: 0.4993, root_mean_squared_error: 0.5472, root_relative_squared_error: 1.0958,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4939, f_measure: 0.3623, kb_relative_information_score: -0.0107, mean_absolute_error: 0.4987, mean_prior_absolute_error: 0.4987, number_of_instances: 662, precision: 0.2763, predictive_accuracy: 0.5257, prior_entropy: 0.9981, recall: 0.5257, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4993, root_mean_squared_error: 0.4993, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5363, f_measure: 0.5256, kappa: 0.0482, kb_relative_information_score: 15.358, mean_absolute_error: 0.4885, mean_prior_absolute_error: 0.4987, number_of_instances: 662, precision: 0.5255, predictive_accuracy: 0.5272, prior_entropy: 0.9981, recall: 0.5272, relative_absolute_error: 0.9795, root_mean_prior_squared_error: 0.4993, root_mean_squared_error: 0.5161, root_relative_squared_error: 1.0335,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5193, f_measure: 0.5106, kappa: 0.0181, kb_relative_information_score: 8.2602, mean_absolute_error: 0.4931, mean_prior_absolute_error: 0.4987, number_of_instances: 662, precision: 0.5104, predictive_accuracy: 0.5121, prior_entropy: 0.9981, recall: 0.5121, relative_absolute_error: 0.9887, root_mean_prior_squared_error: 0.4993, root_mean_squared_error: 0.5262, root_relative_squared_error: 1.0539,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4939, f_measure: 0.3623, kb_relative_information_score: -0.0107, mean_absolute_error: 0.4987, mean_prior_absolute_error: 0.4987, number_of_instances: 662, precision: 0.2763, predictive_accuracy: 0.5257, prior_entropy: 0.9981, recall: 0.5257, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4993, root_mean_squared_error: 0.4993, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5702, f_measure: 0.5571, kappa: 0.1115, kb_relative_information_score: 17.8629, mean_absolute_error: 0.4877, mean_prior_absolute_error: 0.4987, number_of_instances: 662, precision: 0.5569, predictive_accuracy: 0.5574, prior_entropy: 0.9981, recall: 0.5574, relative_absolute_error: 0.9779, root_mean_prior_squared_error: 0.4993, root_mean_squared_error: 0.4971, root_relative_squared_error: 0.9955,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5578, f_measure: 0.5362, kappa: 0.0813, kb_relative_information_score: 14.4648, mean_absolute_error: 0.4903, mean_prior_absolute_error: 0.4987, number_of_instances: 662, precision: 0.5453, predictive_accuracy: 0.5483, prior_entropy: 0.9981, recall: 0.5483, relative_absolute_error: 0.9831, root_mean_prior_squared_error: 0.4993, root_mean_squared_error: 0.4982, root_relative_squared_error: 0.9976,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5704, f_measure: 0.5571, kappa: 0.1115, kb_relative_information_score: 17.8722, mean_absolute_error: 0.4877, mean_prior_absolute_error: 0.4987, number_of_instances: 662, precision: 0.5569, predictive_accuracy: 0.5574, prior_entropy: 0.9981, recall: 0.5574, relative_absolute_error: 0.9779, root_mean_prior_squared_error: 0.4993, root_mean_squared_error: 0.4971, root_relative_squared_error: 0.9955,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3623, kb_relative_information_score: 31.6103, mean_absolute_error: 0.4743, mean_prior_absolute_error: 0.4987, number_of_instances: 662, precision: 0.2763, predictive_accuracy: 0.5257, prior_entropy: 0.9981, recall: 0.5257, relative_absolute_error: 0.9511, root_mean_prior_squared_error: 0.4993, root_mean_squared_error: 0.6887, root_relative_squared_error: 1.3792,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5417, f_measure: 0.538, kappa: 0.0845, kb_relative_information_score: 63.7317, mean_absolute_error: 0.4502, mean_prior_absolute_error: 0.4987, number_of_instances: 662, precision: 0.5469, predictive_accuracy: 0.5498, prior_entropy: 0.9981, recall: 0.5498, relative_absolute_error: 0.9027, root_mean_prior_squared_error: 0.4993, root_mean_squared_error: 0.6709, root_relative_squared_error: 1.3436,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3623, kb_relative_information_score: 31.6103, mean_absolute_error: 0.4743, mean_prior_absolute_error: 0.4987, number_of_instances: 662, precision: 0.2763, predictive_accuracy: 0.5257, prior_entropy: 0.9981, recall: 0.5257, relative_absolute_error: 0.9511, root_mean_prior_squared_error: 0.4993, root_mean_squared_error: 0.6887, root_relative_squared_error: 1.3792,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4939, f_measure: 0.3623, kb_relative_information_score: -0.0107, mean_absolute_error: 0.4987, mean_prior_absolute_error: 0.4987, number_of_instances: 662, precision: 0.2763, predictive_accuracy: 0.5257, prior_entropy: 0.9981, recall: 0.5257, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4993, root_mean_squared_error: 0.4993, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5663, f_measure: 0.557, kappa: 0.1112, kb_relative_information_score: 17.4977, mean_absolute_error: 0.4879, mean_prior_absolute_error: 0.4987, number_of_instances: 662, precision: 0.5568, predictive_accuracy: 0.5574, prior_entropy: 0.9981, recall: 0.5574, relative_absolute_error: 0.9784, root_mean_prior_squared_error: 0.4993, root_mean_squared_error: 0.4973, root_relative_squared_error: 0.996,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5704, f_measure: 0.5571, kappa: 0.1115, kb_relative_information_score: 17.8722, mean_absolute_error: 0.4877, mean_prior_absolute_error: 0.4987, number_of_instances: 662, precision: 0.5569, predictive_accuracy: 0.5574, prior_entropy: 0.9981, recall: 0.5574, relative_absolute_error: 0.9779, root_mean_prior_squared_error: 0.4993, root_mean_squared_error: 0.4971, root_relative_squared_error: 0.9955,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4878, f_measure: 0.3772, kappa: -0.0271, kb_relative_information_score: -1.3029, mean_absolute_error: 0.4994, mean_prior_absolute_error: 0.4987, number_of_instances: 662, precision: 0.4253, predictive_accuracy: 0.5106, prior_entropy: 0.9981, recall: 0.5106, relative_absolute_error: 1.0013, root_mean_prior_squared_error: 0.4993, root_mean_squared_error: 0.5003, root_relative_squared_error: 1.002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4845, f_measure: 0.4942, kappa: -0.0097, kb_relative_information_score: -8.8438, mean_absolute_error: 0.5041, mean_prior_absolute_error: 0.4987, number_of_instances: 662, precision: 0.4963, predictive_accuracy: 0.5015, prior_entropy: 0.9981, recall: 0.5015, relative_absolute_error: 1.0108, root_mean_prior_squared_error: 0.4993, root_mean_squared_error: 0.5543, root_relative_squared_error: 1.1102,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5028, f_measure: 0.5043, kappa: 0.0055, kb_relative_information_score: 3.5041, mean_absolute_error: 0.4955, mean_prior_absolute_error: 0.4987, number_of_instances: 662, precision: 0.5041, predictive_accuracy: 0.5045, prior_entropy: 0.9981, recall: 0.5045, relative_absolute_error: 0.9935, root_mean_prior_squared_error: 0.4993, root_mean_squared_error: 0.7039, root_relative_squared_error: 1.4097,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5485, f_measure: 0.5486, kappa: 0.0967, kb_relative_information_score: 61.7241, mean_absolute_error: 0.4517, mean_prior_absolute_error: 0.4987, number_of_instances: 662, precision: 0.5497, predictive_accuracy: 0.5483, prior_entropy: 0.9981, recall: 0.5483, relative_absolute_error: 0.9057, root_mean_prior_squared_error: 0.4993, root_mean_squared_error: 0.6721, root_relative_squared_error: 1.3459, scimark_benchmark: 1280.301, usercpu_time_millis: 35328.125, usercpu_time_millis_training: 35328.125,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5583, f_measure: 0.5591, kappa: 0.1176, kb_relative_information_score: 81.8, mean_absolute_error: 0.4366, mean_prior_absolute_error: 0.4987, number_of_instances: 662, precision: 0.5614, predictive_accuracy: 0.5634, prior_entropy: 0.9981, recall: 0.5634, relative_absolute_error: 0.8754, root_mean_prior_squared_error: 0.4993, root_mean_squared_error: 0.6607, root_relative_squared_error: 1.3232, scimark_benchmark: 1280.301, usercpu_time_millis: 203.125, usercpu_time_millis_testing: 15.625, usercpu_time_millis_training: 187.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4844, f_measure: 0.4801, kappa: -0.0316, kb_relative_information_score: -12.5566, mean_absolute_error: 0.5076, mean_prior_absolute_error: 0.4987, number_of_instances: 662, precision: 0.4844, predictive_accuracy: 0.4924, prior_entropy: 0.9981, recall: 0.4924, relative_absolute_error: 1.0178, root_mean_prior_squared_error: 0.4993, root_mean_squared_error: 0.7124, root_relative_squared_error: 1.4267, scimark_benchmark: 1461.2356, usercpu_time_millis: 62.5, usercpu_time_millis_testing: 31.25, usercpu_time_millis_training: 31.25,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3623, kb_relative_information_score: 31.6103, mean_absolute_error: 0.4743, mean_prior_absolute_error: 0.4987, number_of_instances: 662, precision: 0.2763, predictive_accuracy: 0.5257, prior_entropy: 0.9981, recall: 0.5257, relative_absolute_error: 0.9511, root_mean_prior_squared_error: 0.4993, root_mean_squared_error: 0.6887, root_relative_squared_error: 1.3792, scimark_benchmark: 1461.2356, usercpu_time_millis: 31.25, usercpu_time_millis_testing: 15.625, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5751, f_measure: 0.5834, kappa: 0.166, kb_relative_information_score: 27.621, mean_absolute_error: 0.4821, mean_prior_absolute_error: 0.4987, number_of_instances: 662, precision: 0.5843, predictive_accuracy: 0.5831, prior_entropy: 0.9981, recall: 0.5831, relative_absolute_error: 0.9667, root_mean_prior_squared_error: 0.4993, root_mean_squared_error: 0.4949, root_relative_squared_error: 0.9912, scimark_benchmark: 1787.9841, usercpu_time_millis: 1296.875, usercpu_time_millis_testing: 15.625, usercpu_time_millis_training: 1281.25,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5751, f_measure: 0.5834, kappa: 0.166, kb_relative_information_score: 27.621, mean_absolute_error: 0.4821, mean_prior_absolute_error: 0.4987, number_of_instances: 662, precision: 0.5843, predictive_accuracy: 0.5831, prior_entropy: 0.9981, recall: 0.5831, relative_absolute_error: 0.9667, root_mean_prior_squared_error: 0.4993, root_mean_squared_error: 0.4949, root_relative_squared_error: 0.9912, scimark_benchmark: 1391.8287, usercpu_time_millis: 1910, usercpu_time_millis_training: 1910,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3623, kb_relative_information_score: 31.6103, mean_absolute_error: 0.4743, mean_prior_absolute_error: 0.4987, number_of_instances: 662, precision: 0.2763, predictive_accuracy: 0.5257, prior_entropy: 0.9981, recall: 0.5257, relative_absolute_error: 0.9511, root_mean_prior_squared_error: 0.4993, root_mean_squared_error: 0.6887, root_relative_squared_error: 1.3792, scimark_benchmark: 1379.5916, usercpu_time_millis: 60, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 30,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5485, f_measure: 0.5486, kappa: 0.0967, kb_relative_information_score: 61.7241, mean_absolute_error: 0.4517, mean_prior_absolute_error: 0.4987, number_of_instances: 662, precision: 0.5497, predictive_accuracy: 0.5483, prior_entropy: 0.9981, recall: 0.5483, relative_absolute_error: 0.9057, root_mean_prior_squared_error: 0.4993, root_mean_squared_error: 0.6721, root_relative_squared_error: 1.3459, scimark_benchmark: 1384.5682, usercpu_time_millis: 45520, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 45500,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3623, kb_relative_information_score: 31.6103, mean_absolute_error: 0.4743, mean_prior_absolute_error: 0.4987, number_of_instances: 662, precision: 0.2763, predictive_accuracy: 0.5257, prior_entropy: 0.9981, recall: 0.5257, relative_absolute_error: 0.9511, root_mean_prior_squared_error: 0.4993, root_mean_squared_error: 0.6887, root_relative_squared_error: 1.3792, scimark_benchmark: 1788.6668, usercpu_time_millis: 15.625, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5409, f_measure: 0.5355, kappa: 0.0831, kb_relative_information_score: 63.7317, mean_absolute_error: 0.4502, mean_prior_absolute_error: 0.4987, number_of_instances: 662, precision: 0.5471, predictive_accuracy: 0.5498, prior_entropy: 0.9981, recall: 0.5498, relative_absolute_error: 0.9027, root_mean_prior_squared_error: 0.4993, root_mean_squared_error: 0.6709, root_relative_squared_error: 1.3436, scimark_benchmark: 1517.2771, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.538, f_measure: 0.5316, kappa: 0.0626, kb_relative_information_score: 12.5018, mean_absolute_error: 0.4912, mean_prior_absolute_error: 0.4987, number_of_instances: 662, precision: 0.5333, predictive_accuracy: 0.5363, prior_entropy: 0.9981, recall: 0.5363, relative_absolute_error: 0.9851, root_mean_prior_squared_error: 0.4993, root_mean_squared_error: 0.5031, root_relative_squared_error: 1.0075, scimark_benchmark: 971.0129, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.542, f_measure: 0.5285, kappa: 0.0681, kb_relative_information_score: 16.5118, mean_absolute_error: 0.4885, mean_prior_absolute_error: 0.4987, number_of_instances: 662, precision: 0.5386, predictive_accuracy: 0.5423, prior_entropy: 0.9981, recall: 0.5423, relative_absolute_error: 0.9796, root_mean_prior_squared_error: 0.4993, root_mean_squared_error: 0.5151, root_relative_squared_error: 1.0315, scimark_benchmark: 1447.2612, usercpu_time_millis: 31.25, usercpu_time_millis_testing: 31.25,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5532, f_measure: 0.5288, kappa: 0.0994, kb_relative_information_score: 49.5586, mean_absolute_error: 0.4608, mean_prior_absolute_error: 0.4987, number_of_instances: 662, precision: 0.5666, predictive_accuracy: 0.5619, prior_entropy: 0.9981, recall: 0.5619, relative_absolute_error: 0.924, root_mean_prior_squared_error: 0.4993, root_mean_squared_error: 0.5853, root_relative_squared_error: 1.1721, scimark_benchmark: 1840.6094, usercpu_time_millis: 15.625, usercpu_time_millis_testing: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4973, f_measure: 0.4694, kappa: -0.0127, kb_relative_information_score: -2.5376, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.4987, number_of_instances: 662, precision: 0.4929, predictive_accuracy: 0.5076, prior_entropy: 0.9981, recall: 0.5076, relative_absolute_error: 1.0026, root_mean_prior_squared_error: 0.4993, root_mean_squared_error: 0.6154, root_relative_squared_error: 1.2324, scimark_benchmark: 1840.6094, usercpu_time_millis: 15.625, usercpu_time_millis_testing: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4698, f_measure: 0.4906, kappa: -0.006, kb_relative_information_score: -15.3538, mean_absolute_error: 0.5086, mean_prior_absolute_error: 0.4987, number_of_instances: 662, precision: 0.498, predictive_accuracy: 0.506, prior_entropy: 0.9981, recall: 0.506, relative_absolute_error: 1.0199, root_mean_prior_squared_error: 0.4993, root_mean_squared_error: 0.5326, root_relative_squared_error: 1.0665, scimark_benchmark: 1873.1108, usercpu_time_millis: 31.25, usercpu_time_millis_testing: 31.25,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5529, f_measure: 0.5454, kappa: 0.0879, kb_relative_information_score: 31.5706, mean_absolute_error: 0.478, mean_prior_absolute_error: 0.4987, number_of_instances: 662, precision: 0.5454, predictive_accuracy: 0.5468, prior_entropy: 0.9981, recall: 0.5468, relative_absolute_error: 0.9584, root_mean_prior_squared_error: 0.4993, root_mean_squared_error: 0.5316, root_relative_squared_error: 1.0646, scimark_benchmark: 1873.1108, usercpu_time_millis: 15.625, usercpu_time_millis_testing: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.489, f_measure: 0.5023, kappa: 0.0014, kb_relative_information_score: -5.9362, mean_absolute_error: 0.5027, mean_prior_absolute_error: 0.4987, number_of_instances: 662, precision: 0.502, predictive_accuracy: 0.503, prior_entropy: 0.9981, recall: 0.503, relative_absolute_error: 1.0081, root_mean_prior_squared_error: 0.4993, root_mean_squared_error: 0.5472, root_relative_squared_error: 1.0958, scimark_benchmark: 1873.1108, usercpu_time_millis: 15.625, usercpu_time_millis_testing: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3623, kb_relative_information_score: 31.6103, mean_absolute_error: 0.4743, mean_prior_absolute_error: 0.4987, number_of_instances: 662, precision: 0.2763, predictive_accuracy: 0.5257, prior_entropy: 0.9981, recall: 0.5257, relative_absolute_error: 0.9511, root_mean_prior_squared_error: 0.4993, root_mean_squared_error: 0.6887, root_relative_squared_error: 1.3792,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3623, kb_relative_information_score: 31.6103, mean_absolute_error: 0.4743, mean_prior_absolute_error: 0.4987, number_of_instances: 662, precision: 0.2763, predictive_accuracy: 0.5257, prior_entropy: 0.9981, recall: 0.5257, relative_absolute_error: 0.9511, root_mean_prior_squared_error: 0.4993, root_mean_squared_error: 0.6887, root_relative_squared_error: 1.3792, scimark_benchmark: 1870.7932,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5513, f_measure: 0.5511, kappa: 0.1037, kb_relative_information_score: 73.7696, mean_absolute_error: 0.4426, mean_prior_absolute_error: 0.4987, number_of_instances: 662, precision: 0.555, predictive_accuracy: 0.5574, prior_entropy: 0.9981, recall: 0.5574, relative_absolute_error: 0.8875, root_mean_prior_squared_error: 0.4993, root_mean_squared_error: 0.6653, root_relative_squared_error: 1.3323, scimark_benchmark: 1870.7932, usercpu_time_millis: 15.6001, usercpu_time_millis_training: 15.6001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5131, f_measure: 0.5098, kappa: 0.0548, kb_relative_information_score: 10.7302, mean_absolute_error: 0.4919, mean_prior_absolute_error: 0.4987, number_of_instances: 662, precision: 0.5356, predictive_accuracy: 0.5393, prior_entropy: 0.9981, recall: 0.5393, relative_absolute_error: 0.9864, root_mean_prior_squared_error: 0.4993, root_mean_squared_error: 0.5238, root_relative_squared_error: 1.049, scimark_benchmark: 1870.7932,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5278, f_measure: 0.5374, kappa: 0.0719, kb_relative_information_score: 14.2186, mean_absolute_error: 0.4897, mean_prior_absolute_error: 0.4987, number_of_instances: 662, precision: 0.5372, predictive_accuracy: 0.5378, prior_entropy: 0.9981, recall: 0.5378, relative_absolute_error: 0.982, root_mean_prior_squared_error: 0.4993, root_mean_squared_error: 0.5345, root_relative_squared_error: 1.0705, scimark_benchmark: 1870.7932,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5052, f_measure: 0.4136, kappa: -0.0628, kb_relative_information_score: 1.304, mean_absolute_error: 0.4975, mean_prior_absolute_error: 0.4987, number_of_instances: 662, precision: 0.4431, predictive_accuracy: 0.4879, prior_entropy: 0.9981, recall: 0.4879, relative_absolute_error: 0.9976, root_mean_prior_squared_error: 0.4993, root_mean_squared_error: 0.508, root_relative_squared_error: 1.0173, scimark_benchmark: 1870.7932,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5679, f_measure: 0.5555, kappa: 0.1083, kb_relative_information_score: 17.5088, mean_absolute_error: 0.4879, mean_prior_absolute_error: 0.4987, number_of_instances: 662, precision: 0.5554, predictive_accuracy: 0.5559, prior_entropy: 0.9981, recall: 0.5559, relative_absolute_error: 0.9783, root_mean_prior_squared_error: 0.4993, root_mean_squared_error: 0.498, root_relative_squared_error: 0.9974, scimark_benchmark: 1870.7932,

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