Task
Supervised Classification on chscase_census6

Supervised Classification on chscase_census6

Task 3763 Supervised Classification chscase_census6 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: 0.483, f_measure: 0.4747, kappa: -0.0249, kb_relative_information_score: -1.7868, mean_absolute_error: 0.4855, mean_prior_absolute_error: 0.4848, number_of_instances: 400, precision: 0.4916, predictive_accuracy: 0.5575, prior_entropy: 0.978, recall: 0.5575, relative_absolute_error: 1.0016, root_mean_prior_squared_error: 0.4923, root_mean_squared_error: 0.4967, root_relative_squared_error: 1.0091,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.484, f_measure: 0.5103, kappa: 0.0446, kb_relative_information_score: 8.0262, mean_absolute_error: 0.4764, mean_prior_absolute_error: 0.4848, number_of_instances: 400, precision: 0.5578, predictive_accuracy: 0.5875, prior_entropy: 0.978, recall: 0.5875, relative_absolute_error: 0.9828, root_mean_prior_squared_error: 0.4923, root_mean_squared_error: 0.5064, root_relative_squared_error: 1.0287,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4871, f_measure: 0.4348, kb_relative_information_score: -0.1035, mean_absolute_error: 0.4848, mean_prior_absolute_error: 0.4848, number_of_instances: 400, precision: 0.3452, predictive_accuracy: 0.5875, prior_entropy: 0.978, recall: 0.5875, relative_absolute_error: 1.0001, root_mean_prior_squared_error: 0.4923, root_mean_squared_error: 0.4923, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4977, f_measure: 0.4348, kb_relative_information_score: -0.3207, mean_absolute_error: 0.4848, mean_prior_absolute_error: 0.4848, number_of_instances: 400, precision: 0.3452, predictive_accuracy: 0.5875, prior_entropy: 0.978, recall: 0.5875, relative_absolute_error: 1.0001, root_mean_prior_squared_error: 0.4923, root_mean_squared_error: 0.4926, root_relative_squared_error: 1.0007,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4709, f_measure: 0.4794, kappa: -0.0777, kb_relative_information_score: -12.9526, mean_absolute_error: 0.4943, mean_prior_absolute_error: 0.4848, number_of_instances: 400, precision: 0.4735, predictive_accuracy: 0.505, prior_entropy: 0.978, recall: 0.505, relative_absolute_error: 1.0197, root_mean_prior_squared_error: 0.4923, root_mean_squared_error: 0.5144, root_relative_squared_error: 1.045,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5354, f_measure: 0.56, kappa: 0.0854, kb_relative_information_score: 11.5793, mean_absolute_error: 0.4704, mean_prior_absolute_error: 0.4848, number_of_instances: 400, precision: 0.5576, predictive_accuracy: 0.5675, prior_entropy: 0.978, recall: 0.5675, relative_absolute_error: 0.9704, root_mean_prior_squared_error: 0.4923, root_mean_squared_error: 0.5279, root_relative_squared_error: 1.0724,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4871, f_measure: 0.4348, kb_relative_information_score: 0.0012, mean_absolute_error: 0.4847, mean_prior_absolute_error: 0.4848, number_of_instances: 400, precision: 0.3452, predictive_accuracy: 0.5875, prior_entropy: 0.978, recall: 0.5875, relative_absolute_error: 0.9999, root_mean_prior_squared_error: 0.4923, root_mean_squared_error: 0.4923, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4831, f_measure: 0.4994, kappa: 0.0186, kb_relative_information_score: 12.5691, mean_absolute_error: 0.4696, mean_prior_absolute_error: 0.4848, number_of_instances: 400, precision: 0.5321, predictive_accuracy: 0.575, prior_entropy: 0.978, recall: 0.575, relative_absolute_error: 0.9688, root_mean_prior_squared_error: 0.4923, root_mean_squared_error: 0.5324, root_relative_squared_error: 1.0814,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4571, f_measure: 0.4364, kappa: -0.038, kb_relative_information_score: -5.5051, mean_absolute_error: 0.489, mean_prior_absolute_error: 0.4848, number_of_instances: 400, precision: 0.4228, predictive_accuracy: 0.565, prior_entropy: 0.978, recall: 0.565, relative_absolute_error: 1.0087, root_mean_prior_squared_error: 0.4923, root_mean_squared_error: 0.4984, root_relative_squared_error: 1.0123,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4836, f_measure: 0.4976, kappa: -0.0439, kb_relative_information_score: -12.9267, mean_absolute_error: 0.4943, mean_prior_absolute_error: 0.4848, number_of_instances: 400, precision: 0.4937, predictive_accuracy: 0.505, prior_entropy: 0.978, recall: 0.505, relative_absolute_error: 1.0197, root_mean_prior_squared_error: 0.4923, root_mean_squared_error: 0.608, root_relative_squared_error: 1.2351,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4772, f_measure: 0.4595, kappa: -0.0203, kb_relative_information_score: 3.0559, mean_absolute_error: 0.4805, mean_prior_absolute_error: 0.4848, number_of_instances: 400, precision: 0.4852, predictive_accuracy: 0.5675, prior_entropy: 0.978, recall: 0.5675, relative_absolute_error: 0.9912, root_mean_prior_squared_error: 0.4923, root_mean_squared_error: 0.5031, root_relative_squared_error: 1.0219,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.535, f_measure: 0.533, kappa: 0.0309, kb_relative_information_score: 4.5014, mean_absolute_error: 0.4753, mean_prior_absolute_error: 0.4848, number_of_instances: 400, precision: 0.5304, predictive_accuracy: 0.5375, prior_entropy: 0.978, recall: 0.5375, relative_absolute_error: 0.9804, root_mean_prior_squared_error: 0.4923, root_mean_squared_error: 0.5181, root_relative_squared_error: 1.0524,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4871, f_measure: 0.4348, kb_relative_information_score: -0.1035, mean_absolute_error: 0.4848, mean_prior_absolute_error: 0.4848, number_of_instances: 400, precision: 0.3452, predictive_accuracy: 0.5875, prior_entropy: 0.978, recall: 0.5875, relative_absolute_error: 1.0001, root_mean_prior_squared_error: 0.4923, root_mean_squared_error: 0.4923, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5113, f_measure: 0.4348, kb_relative_information_score: 54.0102, mean_absolute_error: 0.414, mean_prior_absolute_error: 0.4848, number_of_instances: 400, precision: 0.3452, predictive_accuracy: 0.5875, prior_entropy: 0.978, recall: 0.5875, relative_absolute_error: 0.854, root_mean_prior_squared_error: 0.4923, root_mean_squared_error: 0.6326, root_relative_squared_error: 1.2851,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4883, f_measure: 0.4816, kappa: -0.0534, kb_relative_information_score: -6.5574, mean_absolute_error: 0.489, mean_prior_absolute_error: 0.4848, number_of_instances: 400, precision: 0.4811, predictive_accuracy: 0.53, prior_entropy: 0.978, recall: 0.53, relative_absolute_error: 1.0088, root_mean_prior_squared_error: 0.4923, root_mean_squared_error: 0.506, root_relative_squared_error: 1.0278,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.481, f_measure: 0.4624, kappa: -0.0106, kb_relative_information_score: -3.6984, mean_absolute_error: 0.487, mean_prior_absolute_error: 0.4848, number_of_instances: 400, precision: 0.4984, predictive_accuracy: 0.5725, prior_entropy: 0.978, recall: 0.5725, relative_absolute_error: 1.0046, root_mean_prior_squared_error: 0.4923, root_mean_squared_error: 0.4981, root_relative_squared_error: 1.0118,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4871, f_measure: 0.4348, kb_relative_information_score: -0.1035, mean_absolute_error: 0.4848, mean_prior_absolute_error: 0.4848, number_of_instances: 400, precision: 0.3452, predictive_accuracy: 0.5875, prior_entropy: 0.978, recall: 0.5875, relative_absolute_error: 1.0001, root_mean_prior_squared_error: 0.4923, root_mean_squared_error: 0.4923, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4586, f_measure: 0.4948, kappa: -0.0486, kb_relative_information_score: -21.0551, mean_absolute_error: 0.5032, mean_prior_absolute_error: 0.4848, number_of_instances: 400, precision: 0.4915, predictive_accuracy: 0.5, prior_entropy: 0.978, recall: 0.5, relative_absolute_error: 1.038, root_mean_prior_squared_error: 0.4923, root_mean_squared_error: 0.551, root_relative_squared_error: 1.1192,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5525, f_measure: 0.56, kappa: 0.0854, kb_relative_information_score: 14.5227, mean_absolute_error: 0.4655, mean_prior_absolute_error: 0.4848, number_of_instances: 400, precision: 0.5576, predictive_accuracy: 0.5675, prior_entropy: 0.978, recall: 0.5675, relative_absolute_error: 0.9603, root_mean_prior_squared_error: 0.4923, root_mean_squared_error: 0.5212, root_relative_squared_error: 1.0587,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4871, f_measure: 0.4348, kb_relative_information_score: 0.001, mean_absolute_error: 0.4847, mean_prior_absolute_error: 0.4848, number_of_instances: 400, precision: 0.3452, predictive_accuracy: 0.5875, prior_entropy: 0.978, recall: 0.5875, relative_absolute_error: 0.9999, root_mean_prior_squared_error: 0.4923, root_mean_squared_error: 0.4923, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.4348, kb_relative_information_score: 54.9977, mean_absolute_error: 0.4125, mean_prior_absolute_error: 0.4848, number_of_instances: 400, precision: 0.3452, predictive_accuracy: 0.5875, prior_entropy: 0.978, recall: 0.5875, relative_absolute_error: 0.8509, root_mean_prior_squared_error: 0.4923, root_mean_squared_error: 0.6423, root_relative_squared_error: 1.3047,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4871, f_measure: 0.4348, kb_relative_information_score: 0.0012, mean_absolute_error: 0.4847, mean_prior_absolute_error: 0.4848, number_of_instances: 400, precision: 0.3452, predictive_accuracy: 0.5875, prior_entropy: 0.978, recall: 0.5875, relative_absolute_error: 0.9999, root_mean_prior_squared_error: 0.4923, root_mean_squared_error: 0.4923, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4871, f_measure: 0.4348, kb_relative_information_score: 0.0012, mean_absolute_error: 0.4847, mean_prior_absolute_error: 0.4848, number_of_instances: 400, precision: 0.3452, predictive_accuracy: 0.5875, prior_entropy: 0.978, recall: 0.5875, relative_absolute_error: 0.9999, root_mean_prior_squared_error: 0.4923, root_mean_squared_error: 0.4923, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.47, f_measure: 0.4994, kappa: 0.0186, kb_relative_information_score: 17.2645, mean_absolute_error: 0.4643, mean_prior_absolute_error: 0.4848, number_of_instances: 400, precision: 0.5321, predictive_accuracy: 0.575, prior_entropy: 0.978, recall: 0.575, relative_absolute_error: 0.9577, root_mean_prior_squared_error: 0.4923, root_mean_squared_error: 0.5439, root_relative_squared_error: 1.1048,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4385, f_measure: 0.4507, kappa: -0.0093, kb_relative_information_score: -5.2894, mean_absolute_error: 0.4887, mean_prior_absolute_error: 0.4848, number_of_instances: 400, precision: 0.4913, predictive_accuracy: 0.5775, prior_entropy: 0.978, recall: 0.5775, relative_absolute_error: 1.008, root_mean_prior_squared_error: 0.4923, root_mean_squared_error: 0.4981, root_relative_squared_error: 1.0118,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4723, f_measure: 0.5322, kappa: 0.0723, kb_relative_information_score: 16.0448, mean_absolute_error: 0.467, mean_prior_absolute_error: 0.4848, number_of_instances: 400, precision: 0.5734, predictive_accuracy: 0.595, prior_entropy: 0.978, recall: 0.595, relative_absolute_error: 0.9633, root_mean_prior_squared_error: 0.4923, root_mean_squared_error: 0.5311, root_relative_squared_error: 1.0788,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4804, f_measure: 0.4904, kappa: -0.0572, kb_relative_information_score: -11.5688, mean_absolute_error: 0.4924, mean_prior_absolute_error: 0.4848, number_of_instances: 400, precision: 0.4874, predictive_accuracy: 0.495, prior_entropy: 0.978, recall: 0.495, relative_absolute_error: 1.0158, root_mean_prior_squared_error: 0.4923, root_mean_squared_error: 0.537, root_relative_squared_error: 1.0907,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.4348, kb_relative_information_score: 54.9977, mean_absolute_error: 0.4125, mean_prior_absolute_error: 0.4848, number_of_instances: 400, precision: 0.3452, predictive_accuracy: 0.5875, prior_entropy: 0.978, recall: 0.5875, relative_absolute_error: 0.8509, root_mean_prior_squared_error: 0.4923, root_mean_squared_error: 0.6423, root_relative_squared_error: 1.3047,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4694, f_measure: 0.4994, kappa: 0.0186, kb_relative_information_score: 17.0109, mean_absolute_error: 0.4645, mean_prior_absolute_error: 0.4848, number_of_instances: 400, precision: 0.5321, predictive_accuracy: 0.575, prior_entropy: 0.978, recall: 0.575, relative_absolute_error: 0.9583, root_mean_prior_squared_error: 0.4923, root_mean_squared_error: 0.5441, root_relative_squared_error: 1.1052,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4697, f_measure: 0.4865, kappa: -0.0571, kb_relative_information_score: -9.3489, mean_absolute_error: 0.4902, mean_prior_absolute_error: 0.4848, number_of_instances: 400, precision: 0.4828, predictive_accuracy: 0.52, prior_entropy: 0.978, recall: 0.52, relative_absolute_error: 1.0113, root_mean_prior_squared_error: 0.4923, root_mean_squared_error: 0.5143, root_relative_squared_error: 1.0447,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.4348, kb_relative_information_score: 54.9977, mean_absolute_error: 0.4125, mean_prior_absolute_error: 0.4848, number_of_instances: 400, precision: 0.3452, predictive_accuracy: 0.5875, prior_entropy: 0.978, recall: 0.5875, relative_absolute_error: 0.8509, root_mean_prior_squared_error: 0.4923, root_mean_squared_error: 0.6423, root_relative_squared_error: 1.3047,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4694, f_measure: 0.4994, kappa: 0.0186, kb_relative_information_score: 17.0109, mean_absolute_error: 0.4645, mean_prior_absolute_error: 0.4848, number_of_instances: 400, precision: 0.5321, predictive_accuracy: 0.575, prior_entropy: 0.978, recall: 0.575, relative_absolute_error: 0.9583, root_mean_prior_squared_error: 0.4923, root_mean_squared_error: 0.5441, root_relative_squared_error: 1.1052, scimark_benchmark: 1157.0987,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.4348, kb_relative_information_score: 54.9977, mean_absolute_error: 0.4125, mean_prior_absolute_error: 0.4848, number_of_instances: 400, precision: 0.3452, predictive_accuracy: 0.5875, prior_entropy: 0.978, recall: 0.5875, relative_absolute_error: 0.8509, root_mean_prior_squared_error: 0.4923, root_mean_squared_error: 0.6423, root_relative_squared_error: 1.3047,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.4348, kb_relative_information_score: 54.9977, mean_absolute_error: 0.4125, mean_prior_absolute_error: 0.4848, number_of_instances: 400, precision: 0.3452, predictive_accuracy: 0.5875, prior_entropy: 0.978, recall: 0.5875, relative_absolute_error: 0.8509, root_mean_prior_squared_error: 0.4923, root_mean_squared_error: 0.6423, root_relative_squared_error: 1.3047,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.4348, kb_relative_information_score: 54.9977, mean_absolute_error: 0.4125, mean_prior_absolute_error: 0.4848, number_of_instances: 400, precision: 0.3452, predictive_accuracy: 0.5875, prior_entropy: 0.978, recall: 0.5875, relative_absolute_error: 0.8509, root_mean_prior_squared_error: 0.4923, root_mean_squared_error: 0.6423, root_relative_squared_error: 1.3047,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.4348, kb_relative_information_score: 54.9977, mean_absolute_error: 0.4125, mean_prior_absolute_error: 0.4848, number_of_instances: 400, precision: 0.3452, predictive_accuracy: 0.5875, prior_entropy: 0.978, recall: 0.5875, relative_absolute_error: 0.8509, root_mean_prior_squared_error: 0.4923, root_mean_squared_error: 0.6423, root_relative_squared_error: 1.3047,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.4348, kb_relative_information_score: 54.9977, mean_absolute_error: 0.4125, mean_prior_absolute_error: 0.4848, number_of_instances: 400, precision: 0.3452, predictive_accuracy: 0.5875, prior_entropy: 0.978, recall: 0.5875, relative_absolute_error: 0.8509, root_mean_prior_squared_error: 0.4923, root_mean_squared_error: 0.6423, root_relative_squared_error: 1.3047,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4481, f_measure: 0.4325, kappa: -0.01, kb_relative_information_score: -2.3618, mean_absolute_error: 0.4866, mean_prior_absolute_error: 0.4848, number_of_instances: 400, precision: 0.3439, predictive_accuracy: 0.5825, prior_entropy: 0.978, recall: 0.5825, relative_absolute_error: 1.0037, root_mean_prior_squared_error: 0.4923, root_mean_squared_error: 0.4943, root_relative_squared_error: 1.0041,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4523, f_measure: 0.4987, kappa: -0.0331, kb_relative_information_score: -16.6219, mean_absolute_error: 0.4965, mean_prior_absolute_error: 0.4848, number_of_instances: 400, precision: 0.4967, predictive_accuracy: 0.53, prior_entropy: 0.978, recall: 0.53, relative_absolute_error: 1.0242, root_mean_prior_squared_error: 0.4923, root_mean_squared_error: 0.5392, root_relative_squared_error: 1.0952,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5133, f_measure: 0.5248, kappa: 0.0263, kb_relative_information_score: 0.6479, mean_absolute_error: 0.4775, mean_prior_absolute_error: 0.4848, number_of_instances: 400, precision: 0.5281, predictive_accuracy: 0.5225, prior_entropy: 0.978, recall: 0.5225, relative_absolute_error: 0.985, root_mean_prior_squared_error: 0.4923, root_mean_squared_error: 0.691, root_relative_squared_error: 1.4037,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5215, f_measure: 0.5328, kappa: 0.0466, kb_relative_information_score: 42.4554, mean_absolute_error: 0.4275, mean_prior_absolute_error: 0.4848, number_of_instances: 400, precision: 0.544, predictive_accuracy: 0.5725, prior_entropy: 0.978, recall: 0.5725, relative_absolute_error: 0.8819, root_mean_prior_squared_error: 0.4923, root_mean_squared_error: 0.6538, root_relative_squared_error: 1.3282, scimark_benchmark: 1280.301, usercpu_time_millis: 34328.125, usercpu_time_millis_testing: 15.625, usercpu_time_millis_training: 34312.5,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.417, f_measure: 0.4424, kappa: -0.118, kb_relative_information_score: -20.015, mean_absolute_error: 0.5026, mean_prior_absolute_error: 0.4848, number_of_instances: 400, precision: 0.4301, predictive_accuracy: 0.5075, prior_entropy: 0.978, recall: 0.5075, relative_absolute_error: 1.0367, root_mean_prior_squared_error: 0.4923, root_mean_squared_error: 0.5211, root_relative_squared_error: 1.0586, scimark_benchmark: 1788.6668, usercpu_time_millis: 62.5, usercpu_time_millis_training: 62.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4492, f_measure: 0.449, kappa: -0.0267, kb_relative_information_score: -6.3184, mean_absolute_error: 0.4895, mean_prior_absolute_error: 0.4848, number_of_instances: 400, precision: 0.4654, predictive_accuracy: 0.5675, prior_entropy: 0.978, recall: 0.5675, relative_absolute_error: 1.0097, root_mean_prior_squared_error: 0.4923, root_mean_squared_error: 0.5017, root_relative_squared_error: 1.0192, scimark_benchmark: 1788.6668, usercpu_time_millis: 31.25, usercpu_time_millis_training: 31.25,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4883, f_measure: 0.4763, kappa: -0.0201, kb_relative_information_score: -0.7985, mean_absolute_error: 0.4847, mean_prior_absolute_error: 0.4848, number_of_instances: 400, precision: 0.4958, predictive_accuracy: 0.56, prior_entropy: 0.978, recall: 0.56, relative_absolute_error: 0.9998, root_mean_prior_squared_error: 0.4923, root_mean_squared_error: 0.4956, root_relative_squared_error: 1.0068, scimark_benchmark: 1788.6668,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4853, f_measure: 0.2409, kb_relative_information_score: -23.4455, mean_absolute_error: 0.5032, mean_prior_absolute_error: 0.4848, number_of_instances: 400, precision: 0.1702, predictive_accuracy: 0.4125, prior_entropy: 0.978, recall: 0.4125, relative_absolute_error: 1.0381, root_mean_prior_squared_error: 0.4923, root_mean_squared_error: 0.504, root_relative_squared_error: 1.0238, scimark_benchmark: 1788.6668, usercpu_time_millis: 78.125, usercpu_time_millis_training: 78.125,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4875, f_measure: 0.4449, kappa: 0.0092, kb_relative_information_score: -1.1186, mean_absolute_error: 0.4852, mean_prior_absolute_error: 0.4848, number_of_instances: 400, precision: 0.6213, predictive_accuracy: 0.59, prior_entropy: 0.978, recall: 0.59, relative_absolute_error: 1.001, root_mean_prior_squared_error: 0.4923, root_mean_squared_error: 0.4934, root_relative_squared_error: 1.0023, scimark_benchmark: 1788.6668,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.4348, kb_relative_information_score: 54.9977, mean_absolute_error: 0.4125, mean_prior_absolute_error: 0.4848, number_of_instances: 400, precision: 0.3452, predictive_accuracy: 0.5875, prior_entropy: 0.978, recall: 0.5875, relative_absolute_error: 0.8509, root_mean_prior_squared_error: 0.4923, root_mean_squared_error: 0.6423, root_relative_squared_error: 1.3047, scimark_benchmark: 1788.6668,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.4348, kb_relative_information_score: 54.9977, mean_absolute_error: 0.4125, mean_prior_absolute_error: 0.4848, number_of_instances: 400, precision: 0.3452, predictive_accuracy: 0.5875, prior_entropy: 0.978, recall: 0.5875, relative_absolute_error: 0.8509, root_mean_prior_squared_error: 0.4923, root_mean_squared_error: 0.6423, root_relative_squared_error: 1.3047, scimark_benchmark: 1442.4072, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4435, f_measure: 0.4745, kappa: 0.0208, kb_relative_information_score: -4.1972, mean_absolute_error: 0.4879, mean_prior_absolute_error: 0.4848, number_of_instances: 400, precision: 0.5541, predictive_accuracy: 0.5875, prior_entropy: 0.978, recall: 0.5875, relative_absolute_error: 1.0065, root_mean_prior_squared_error: 0.4923, root_mean_squared_error: 0.4982, root_relative_squared_error: 1.012, scimark_benchmark: 1177.2296, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4574, f_measure: 0.4794, kappa: -0.0529, kb_relative_information_score: -16.2602, mean_absolute_error: 0.498, mean_prior_absolute_error: 0.4848, number_of_instances: 400, precision: 0.48, predictive_accuracy: 0.5325, prior_entropy: 0.978, recall: 0.5325, relative_absolute_error: 1.0273, root_mean_prior_squared_error: 0.4923, root_mean_squared_error: 0.5256, root_relative_squared_error: 1.0678, scimark_benchmark: 1447.2612, usercpu_time_millis: 15.625, usercpu_time_millis_testing: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4766, f_measure: 0.4433, kappa: -0.1111, kb_relative_information_score: -18.8617, mean_absolute_error: 0.5004, mean_prior_absolute_error: 0.4848, number_of_instances: 400, precision: 0.4314, predictive_accuracy: 0.5125, prior_entropy: 0.978, recall: 0.5125, relative_absolute_error: 1.0323, root_mean_prior_squared_error: 0.4923, root_mean_squared_error: 0.6113, root_relative_squared_error: 1.2418, scimark_benchmark: 1840.6094,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5198, f_measure: 0.511, kappa: 0.0046, kb_relative_information_score: 1.0865, mean_absolute_error: 0.4763, mean_prior_absolute_error: 0.4848, number_of_instances: 400, precision: 0.5182, predictive_accuracy: 0.555, prior_entropy: 0.978, recall: 0.555, relative_absolute_error: 0.9826, root_mean_prior_squared_error: 0.4923, root_mean_squared_error: 0.5979, root_relative_squared_error: 1.2145, scimark_benchmark: 1840.6094,

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