OpenML
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: 0.5621, f_measure: 0.5518, kappa: 0.0935, kb_relative_information_score: 14.394, mean_absolute_error: 0.4678, mean_prior_absolute_error: 0.4848, number_of_instances: 400, precision: 0.5777, predictive_accuracy: 0.5975, prior_entropy: 0.978, recall: 0.5975, relative_absolute_error: 0.9649, root_mean_prior_squared_error: 0.4923, root_mean_squared_error: 0.5005, root_relative_squared_error: 1.0167, 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: 0.4586, 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, scimark_benchmark: 1873.1108,
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, 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: 0.517, f_measure: 0.5342, kappa: 0.0344, kb_relative_information_score: 13.1902, mean_absolute_error: 0.4625, mean_prior_absolute_error: 0.4848, number_of_instances: 400, precision: 0.5321, predictive_accuracy: 0.5375, prior_entropy: 0.978, recall: 0.5375, relative_absolute_error: 0.9541, root_mean_prior_squared_error: 0.4923, root_mean_squared_error: 0.6801, root_relative_squared_error: 1.3815,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4845, f_measure: 0.4987, kappa: -0.0331, kb_relative_information_score: 6.919, mean_absolute_error: 0.47, 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: 0.9695, root_mean_prior_squared_error: 0.4923, root_mean_squared_error: 0.6856, root_relative_squared_error: 1.3926,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4863, f_measure: 0.5016, kappa: -0.0292, kb_relative_information_score: 6.919, mean_absolute_error: 0.47, mean_prior_absolute_error: 0.4848, number_of_instances: 400, precision: 0.4992, predictive_accuracy: 0.53, prior_entropy: 0.978, recall: 0.53, relative_absolute_error: 0.9695, root_mean_prior_squared_error: 0.4923, root_mean_squared_error: 0.6856, root_relative_squared_error: 1.3926,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5366, f_measure: 0.5553, kappa: 0.0761, kb_relative_information_score: 40.365, mean_absolute_error: 0.43, mean_prior_absolute_error: 0.4848, number_of_instances: 400, precision: 0.5544, predictive_accuracy: 0.57, prior_entropy: 0.978, recall: 0.57, relative_absolute_error: 0.887, root_mean_prior_squared_error: 0.4923, root_mean_squared_error: 0.6557, root_relative_squared_error: 1.332,
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, scimark_benchmark: 1870.7932,
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: 1870.7932, usercpu_time_millis: 15.6001, usercpu_time_millis_training: 15.6001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5066, f_measure: 0.4547, kappa: -0.0273, kb_relative_information_score: -5.2791, mean_absolute_error: 0.4889, mean_prior_absolute_error: 0.4848, number_of_instances: 400, precision: 0.4735, predictive_accuracy: 0.565, prior_entropy: 0.978, recall: 0.565, relative_absolute_error: 1.0085, root_mean_prior_squared_error: 0.4923, root_mean_squared_error: 0.5043, root_relative_squared_error: 1.0244, scimark_benchmark: 1870.7932,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4375, f_measure: 0.4708, kappa: -0.0854, kb_relative_information_score: -23.8745, mean_absolute_error: 0.5075, mean_prior_absolute_error: 0.4848, number_of_instances: 400, precision: 0.465, predictive_accuracy: 0.51, prior_entropy: 0.978, recall: 0.51, relative_absolute_error: 1.0468, root_mean_prior_squared_error: 0.4923, root_mean_squared_error: 0.5635, root_relative_squared_error: 1.1446, scimark_benchmark: 1870.7932,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4874, f_measure: 0.4348, kb_relative_information_score: 3.7484, mean_absolute_error: 0.4801, 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: 0.9905, root_mean_prior_squared_error: 0.4923, root_mean_squared_error: 0.4928, root_relative_squared_error: 1.001, 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: 0.4871, 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, scimark_benchmark: 1870.7932,
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, scimark_benchmark: 1732.2066,
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: 1732.2066,
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, scimark_benchmark: 1887.4343, usercpu_time_millis: 15.6001, usercpu_time_millis_testing: 15.6001,
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, scimark_benchmark: 1806.5905,
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, scimark_benchmark: 1806.5905,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4821, f_measure: 0.5231, kappa: 0.0129, kb_relative_information_score: -8.7125, mean_absolute_error: 0.4903, mean_prior_absolute_error: 0.4848, number_of_instances: 400, precision: 0.5216, predictive_accuracy: 0.525, prior_entropy: 0.978, recall: 0.525, relative_absolute_error: 1.0114, root_mean_prior_squared_error: 0.4923, root_mean_squared_error: 0.5978, root_relative_squared_error: 1.2143, scimark_benchmark: 1806.5905, usercpu_time_millis: 78.0005, usercpu_time_millis_testing: 31.2002, usercpu_time_millis_training: 46.8003,
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, scimark_benchmark: 1806.5905, usercpu_time_millis: 124.8008, usercpu_time_millis_testing: 15.6001, usercpu_time_millis_training: 109.2007,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5022, f_measure: 0.5175, kappa: 0.0007, kb_relative_information_score: 0.6179, mean_absolute_error: 0.4776, mean_prior_absolute_error: 0.4848, number_of_instances: 400, precision: 0.5156, predictive_accuracy: 0.52, prior_entropy: 0.978, recall: 0.52, relative_absolute_error: 0.9853, root_mean_prior_squared_error: 0.4923, root_mean_squared_error: 0.6882, root_relative_squared_error: 1.398, scimark_benchmark: 1806.5905,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4902, f_measure: 0.5006, kappa: -0.0193, kb_relative_information_score: -20.2477, mean_absolute_error: 0.5025, mean_prior_absolute_error: 0.4848, number_of_instances: 400, precision: 0.5059, predictive_accuracy: 0.4975, prior_entropy: 0.978, recall: 0.4975, relative_absolute_error: 1.0366, root_mean_prior_squared_error: 0.4923, root_mean_squared_error: 0.7069, root_relative_squared_error: 1.436, scimark_benchmark: 1806.5905, usercpu_time_millis: 15.6001, usercpu_time_millis_testing: 15.6001,
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, scimark_benchmark: 1877.5305,
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: 1850.8887,
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, scimark_benchmark: 1850.8887,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.497, f_measure: 0.5158, kappa: -0.0061, kb_relative_information_score: 0.6479, mean_absolute_error: 0.4775, mean_prior_absolute_error: 0.4848, number_of_instances: 400, precision: 0.5123, 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, usercpu_time_millis: 357.349, usercpu_time_millis_testing: 4.186, usercpu_time_millis_training: 353.163,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4832, f_measure: 0.4426, kappa: -0.0386, kb_relative_information_score: 34.0939, mean_absolute_error: 0.4375, mean_prior_absolute_error: 0.4848, number_of_instances: 400, precision: 0.4433, predictive_accuracy: 0.5625, prior_entropy: 0.978, recall: 0.5625, relative_absolute_error: 0.9025, root_mean_prior_squared_error: 0.4923, root_mean_squared_error: 0.6614, root_relative_squared_error: 1.3436, usercpu_time_millis: 136.671, usercpu_time_millis_testing: 0.348, usercpu_time_millis_training: 136.323,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4881, f_measure: 0.5044, kappa: -0.0252, kb_relative_information_score: 6.919, mean_absolute_error: 0.47, mean_prior_absolute_error: 0.4848, number_of_instances: 400, precision: 0.5016, predictive_accuracy: 0.53, prior_entropy: 0.978, recall: 0.53, relative_absolute_error: 0.9695, root_mean_prior_squared_error: 0.4923, root_mean_squared_error: 0.6856, root_relative_squared_error: 1.3926, usercpu_time_millis: 12.525, usercpu_time_millis_testing: 0.405, usercpu_time_millis_training: 12.12,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5009, f_measure: 0.5168, kappa: 0.0018, kb_relative_information_score: -3.5328, mean_absolute_error: 0.4825, mean_prior_absolute_error: 0.4848, number_of_instances: 400, precision: 0.5162, predictive_accuracy: 0.5175, prior_entropy: 0.978, recall: 0.5175, relative_absolute_error: 0.9953, root_mean_prior_squared_error: 0.4923, root_mean_squared_error: 0.6946, root_relative_squared_error: 1.411, usercpu_time_millis: 0.779, usercpu_time_millis_testing: 0.046, usercpu_time_millis_training: 0.733,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4936, f_measure: 0.4554, kappa: -0.0148, kb_relative_information_score: 42.4554, mean_absolute_error: 0.4275, mean_prior_absolute_error: 0.4848, number_of_instances: 400, precision: 0.4876, 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, usercpu_time_millis: 0.471, usercpu_time_millis_testing: 0.048, usercpu_time_millis_training: 0.423,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4765, f_measure: 0.4932, kappa: -0.0495, kb_relative_information_score: -3.5328, mean_absolute_error: 0.4825, mean_prior_absolute_error: 0.4848, number_of_instances: 400, precision: 0.4888, predictive_accuracy: 0.5175, prior_entropy: 0.978, recall: 0.5175, relative_absolute_error: 0.9953, root_mean_prior_squared_error: 0.4923, root_mean_squared_error: 0.6946, root_relative_squared_error: 1.411, usercpu_time_millis: 29.557, usercpu_time_millis_testing: 4.569, usercpu_time_millis_training: 24.988,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4917, f_measure: 0.448, kappa: -0.0191, kb_relative_information_score: 42.4554, mean_absolute_error: 0.4275, mean_prior_absolute_error: 0.4848, number_of_instances: 400, precision: 0.4716, 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, usercpu_time_millis: 57.804, usercpu_time_millis_testing: 0.019, usercpu_time_millis_training: 57.785,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5104, f_measure: 0.501, kappa: 0.0234, kb_relative_information_score: 46.6362, mean_absolute_error: 0.4225, mean_prior_absolute_error: 0.4848, number_of_instances: 400, precision: 0.5368, predictive_accuracy: 0.5775, prior_entropy: 0.978, recall: 0.5775, relative_absolute_error: 0.8716, root_mean_prior_squared_error: 0.4923, root_mean_squared_error: 0.65, root_relative_squared_error: 1.3204, usercpu_time_millis: 15.175, usercpu_time_millis_testing: 0.089, usercpu_time_millis_training: 15.086,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4919, f_measure: 0.4938, kappa: -0.0156, kb_relative_information_score: -26.527, mean_absolute_error: 0.51, mean_prior_absolute_error: 0.4848, number_of_instances: 400, precision: 0.5075, predictive_accuracy: 0.49, prior_entropy: 0.978, recall: 0.49, relative_absolute_error: 1.0521, root_mean_prior_squared_error: 0.4923, root_mean_squared_error: 0.7141, root_relative_squared_error: 1.4507, usercpu_time_millis: 0.317, usercpu_time_millis_testing: 0.035, usercpu_time_millis_training: 0.282,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4741, f_measure: 0.488, kappa: -0.0551, kb_relative_information_score: -1.4425, mean_absolute_error: 0.48, mean_prior_absolute_error: 0.4848, number_of_instances: 400, precision: 0.4843, predictive_accuracy: 0.52, prior_entropy: 0.978, recall: 0.52, relative_absolute_error: 0.9902, root_mean_prior_squared_error: 0.4923, root_mean_squared_error: 0.6928, root_relative_squared_error: 1.4074, usercpu_time_millis: 5.079, usercpu_time_millis_testing: 0.508, usercpu_time_millis_training: 4.571,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.509, f_measure: 0.4745, kappa: 0.0208, kb_relative_information_score: 54.9977, mean_absolute_error: 0.4125, 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: 0.8509, root_mean_prior_squared_error: 0.4923, root_mean_squared_error: 0.6423, root_relative_squared_error: 1.3047, usercpu_time_millis: 0.12, usercpu_time_millis_testing: 0.017, usercpu_time_millis_training: 0.103,
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, usercpu_time_millis: 0.221, usercpu_time_millis_testing: 0.012, usercpu_time_millis_training: 0.209,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4778, f_measure: 0.4938, kappa: -0.047, kb_relative_information_score: -1.4425, mean_absolute_error: 0.48, mean_prior_absolute_error: 0.4848, number_of_instances: 400, precision: 0.4898, predictive_accuracy: 0.52, prior_entropy: 0.978, recall: 0.52, relative_absolute_error: 0.9902, root_mean_prior_squared_error: 0.4923, root_mean_squared_error: 0.6928, root_relative_squared_error: 1.4074, usercpu_time_millis: 4.869, usercpu_time_millis_testing: 0.425, usercpu_time_millis_training: 4.444,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4599, f_measure: 0.4854, kappa: -0.0493, kb_relative_information_score: -22.4867, mean_absolute_error: 0.5057, mean_prior_absolute_error: 0.4848, number_of_instances: 400, precision: 0.4847, predictive_accuracy: 0.53, prior_entropy: 0.978, recall: 0.53, relative_absolute_error: 1.0433, root_mean_prior_squared_error: 0.4923, root_mean_squared_error: 0.5259, root_relative_squared_error: 1.0682, scimark_benchmark: 972.587, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4826, f_measure: 0.4976, kappa: -0.0119, kb_relative_information_score: -13.3913, mean_absolute_error: 0.4972, mean_prior_absolute_error: 0.4848, number_of_instances: 400, precision: 0.5071, predictive_accuracy: 0.5525, prior_entropy: 0.978, recall: 0.5525, relative_absolute_error: 1.0257, root_mean_prior_squared_error: 0.4923, root_mean_squared_error: 0.5335, root_relative_squared_error: 1.0838, scimark_benchmark: 851.2074, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5017, f_measure: 0.4842, kappa: 0.0038, kb_relative_information_score: 0.9157, mean_absolute_error: 0.4828, mean_prior_absolute_error: 0.4848, number_of_instances: 400, precision: 0.5194, predictive_accuracy: 0.5725, prior_entropy: 0.978, recall: 0.5725, relative_absolute_error: 0.9959, root_mean_prior_squared_error: 0.4923, root_mean_squared_error: 0.4994, root_relative_squared_error: 1.0145, scimark_benchmark: 943.8235, usercpu_time_millis: 1010, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 980,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4871, f_measure: 0.4348, kb_relative_information_score: -0.0512, 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, root_mean_prior_squared_error: 0.4923, root_mean_squared_error: 0.4923, root_relative_squared_error: 1.0001, scimark_benchmark: 905.2959,
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, scimark_benchmark: 931.771,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4811, f_measure: 0.4413, kappa: -0.0434, kb_relative_information_score: 32.0035, mean_absolute_error: 0.44, mean_prior_absolute_error: 0.4848, number_of_instances: 400, precision: 0.4377, predictive_accuracy: 0.56, prior_entropy: 0.978, recall: 0.56, relative_absolute_error: 0.9077, root_mean_prior_squared_error: 0.4923, root_mean_squared_error: 0.6633, root_relative_squared_error: 1.3474, scimark_benchmark: 941.3847, usercpu_time_millis: 100, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 60,
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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, scimark_benchmark: 936.3373,
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, scimark_benchmark: 974.2014, usercpu_time_millis: 150, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 140,
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, scimark_benchmark: 819.5729,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4599, f_measure: 0.4854, kappa: -0.0493, kb_relative_information_score: -22.4867, mean_absolute_error: 0.5057, mean_prior_absolute_error: 0.4848, number_of_instances: 400, precision: 0.4847, predictive_accuracy: 0.53, prior_entropy: 0.978, recall: 0.53, relative_absolute_error: 1.0433, root_mean_prior_squared_error: 0.4923, root_mean_squared_error: 0.5259, root_relative_squared_error: 1.0682, scimark_benchmark: 901.6243, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4826, f_measure: 0.4976, kappa: -0.0119, kb_relative_information_score: -13.3913, mean_absolute_error: 0.4972, mean_prior_absolute_error: 0.4848, number_of_instances: 400, precision: 0.5071, predictive_accuracy: 0.5525, prior_entropy: 0.978, recall: 0.5525, relative_absolute_error: 1.0257, root_mean_prior_squared_error: 0.4923, root_mean_squared_error: 0.5335, root_relative_squared_error: 1.0838, scimark_benchmark: 944.0133, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4811, f_measure: 0.4413, kappa: -0.0434, kb_relative_information_score: 32.0035, mean_absolute_error: 0.44, mean_prior_absolute_error: 0.4848, number_of_instances: 400, precision: 0.4377, predictive_accuracy: 0.56, prior_entropy: 0.978, recall: 0.56, relative_absolute_error: 0.9077, root_mean_prior_squared_error: 0.4923, root_mean_squared_error: 0.6633, root_relative_squared_error: 1.3474, scimark_benchmark: 937.5683, usercpu_time_millis: 60, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4871, f_measure: 0.4348, kb_relative_information_score: -0.0512, 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, root_mean_prior_squared_error: 0.4923, root_mean_squared_error: 0.4923, root_relative_squared_error: 1.0001, scimark_benchmark: 930.404, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4871, f_measure: 0.4348, kb_relative_information_score: -0.0512, 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, root_mean_prior_squared_error: 0.4923, root_mean_squared_error: 0.4923, root_relative_squared_error: 1.0001, scimark_benchmark: 938.1282,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4871, f_measure: 0.4348, kb_relative_information_score: -0.0512, 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, root_mean_prior_squared_error: 0.4923, root_mean_squared_error: 0.4923, root_relative_squared_error: 1.0001, scimark_benchmark: 930.404,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4528, f_measure: 0.4925, kappa: -0.0519, kb_relative_information_score: -14.1394, mean_absolute_error: 0.4958, mean_prior_absolute_error: 0.4848, number_of_instances: 400, precision: 0.4878, predictive_accuracy: 0.515, prior_entropy: 0.978, recall: 0.515, relative_absolute_error: 1.0228, root_mean_prior_squared_error: 0.4923, root_mean_squared_error: 0.5211, root_relative_squared_error: 1.0586, scimark_benchmark: 930.404, usercpu_time_millis: 20, usercpu_time_millis_training: 20,

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