OpenML
Supervised Classification on diabetes

Supervised Classification on diabetes

Task 37 Supervised Classification diabetes 133465 runs submitted
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  • at2 basic mythbusting mythbusting_1 OpenML-CC18 OpenML100 study_1 study_107 study_123 study_14 study_15 study_20 study_29 study_30 study_41 study_7 study_70 study_73 study_98 study_99 under100k under1m
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7854, f_measure: 0.5433, kappa: 0.0449, kb_relative_information_score: 63.3662, mean_absolute_error: 0.425, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7033, predictive_accuracy: 0.6615, prior_entropy: 0.9335, recall: 0.6615, relative_absolute_error: 0.9351, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4496, root_relative_squared_error: 0.9433, scimark_benchmark: 1877.2162, usercpu_time_millis: 0.193, usercpu_time_millis_testing: 0.159, usercpu_time_millis_training: 0.034,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.497, f_measure: 0.5134, kb_relative_information_score: 0.1772, mean_absolute_error: 0.4544, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.4239, predictive_accuracy: 0.651, prior_entropy: 0.9335, recall: 0.651, relative_absolute_error: 0.9997, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4766, root_relative_squared_error: 1, scimark_benchmark: 1884.4714, usercpu_time_millis: 0.072, usercpu_time_millis_testing: 0.04, usercpu_time_millis_training: 0.032,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8304, f_measure: 0.7698, kappa: 0.4836, kb_relative_information_score: 252.1083, mean_absolute_error: 0.3122, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7726, predictive_accuracy: 0.7773, prior_entropy: 0.9335, recall: 0.7773, relative_absolute_error: 0.687, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3962, root_relative_squared_error: 0.8313, scimark_benchmark: 1888.8353, usercpu_time_millis: 0.192, usercpu_time_millis_testing: 0.153, usercpu_time_millis_training: 0.039,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.497, f_measure: 0.5134, kb_relative_information_score: 0.1772, mean_absolute_error: 0.4544, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.4239, predictive_accuracy: 0.651, prior_entropy: 0.9335, recall: 0.651, relative_absolute_error: 0.9997, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4766, root_relative_squared_error: 1, scimark_benchmark: 1751.7584, usercpu_time_millis: 0.077, usercpu_time_millis_testing: 0.042, usercpu_time_millis_training: 0.035,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7828, f_measure: 0.5134, kb_relative_information_score: 25.3393, mean_absolute_error: 0.4433, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.4239, predictive_accuracy: 0.651, prior_entropy: 0.9335, recall: 0.651, relative_absolute_error: 0.9753, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4656, root_relative_squared_error: 0.9769, scimark_benchmark: 1750.3868, usercpu_time_millis: 0.2, usercpu_time_millis_testing: 0.161, usercpu_time_millis_training: 0.039,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8165, f_measure: 0.7473, kappa: 0.4305, kb_relative_information_score: 169.9142, mean_absolute_error: 0.3655, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7642, predictive_accuracy: 0.7643, prior_entropy: 0.9335, recall: 0.7643, relative_absolute_error: 0.8043, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4113, root_relative_squared_error: 0.8629, scimark_benchmark: 1753.245, usercpu_time_millis: 0.216, usercpu_time_millis_testing: 0.172, usercpu_time_millis_training: 0.044,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.497, f_measure: 0.5134, kb_relative_information_score: 0.1772, mean_absolute_error: 0.4544, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.4239, predictive_accuracy: 0.651, prior_entropy: 0.9335, recall: 0.651, relative_absolute_error: 0.9997, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4766, root_relative_squared_error: 1, scimark_benchmark: 1747.4929, usercpu_time_millis: 0.084, usercpu_time_millis_testing: 0.045, usercpu_time_millis_training: 0.039,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.497, f_measure: 0.5134, kb_relative_information_score: 0.1772, mean_absolute_error: 0.4544, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.4239, predictive_accuracy: 0.651, prior_entropy: 0.9335, recall: 0.651, relative_absolute_error: 0.9997, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4766, root_relative_squared_error: 1, scimark_benchmark: 1752.1591, usercpu_time_millis: 0.083, usercpu_time_millis_testing: 0.045, usercpu_time_millis_training: 0.038,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.497, f_measure: 0.5134, kb_relative_information_score: 0.1772, mean_absolute_error: 0.4544, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.4239, predictive_accuracy: 0.651, prior_entropy: 0.9335, recall: 0.651, relative_absolute_error: 0.9997, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4766, root_relative_squared_error: 1, scimark_benchmark: 1746.5767, usercpu_time_millis: 0.075, usercpu_time_millis_testing: 0.04, usercpu_time_millis_training: 0.035,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.497, f_measure: 0.5134, kb_relative_information_score: 0.1772, mean_absolute_error: 0.4544, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.4239, predictive_accuracy: 0.651, prior_entropy: 0.9335, recall: 0.651, relative_absolute_error: 0.9997, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4766, root_relative_squared_error: 1, scimark_benchmark: 1767.2522, usercpu_time_millis: 0.08, usercpu_time_millis_testing: 0.044, usercpu_time_millis_training: 0.036,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8303, f_measure: 0.7701, kappa: 0.4845, kb_relative_information_score: 253.6088, mean_absolute_error: 0.3112, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7725, predictive_accuracy: 0.7773, prior_entropy: 0.9335, recall: 0.7773, relative_absolute_error: 0.6848, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3962, root_relative_squared_error: 0.8312, scimark_benchmark: 1751.5974, usercpu_time_millis: 0.209, usercpu_time_millis_testing: 0.168, usercpu_time_millis_training: 0.041,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8307, f_measure: 0.7611, kappa: 0.4631, kb_relative_information_score: 222.7012, mean_absolute_error: 0.3321, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7661, predictive_accuracy: 0.7708, prior_entropy: 0.9335, recall: 0.7708, relative_absolute_error: 0.7307, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3983, root_relative_squared_error: 0.8356, scimark_benchmark: 1752.1591, usercpu_time_millis: 0.219, usercpu_time_millis_testing: 0.175, usercpu_time_millis_training: 0.044,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.497, f_measure: 0.5134, kb_relative_information_score: 0.1772, mean_absolute_error: 0.4544, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.4239, predictive_accuracy: 0.651, prior_entropy: 0.9335, recall: 0.651, relative_absolute_error: 0.9997, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4766, root_relative_squared_error: 1, scimark_benchmark: 1753.7072, usercpu_time_millis: 0.084, usercpu_time_millis_testing: 0.047, usercpu_time_millis_training: 0.037,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8267, f_measure: 0.7573, kappa: 0.454, kb_relative_information_score: 215.224, mean_absolute_error: 0.3369, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7638, predictive_accuracy: 0.7682, prior_entropy: 0.9335, recall: 0.7682, relative_absolute_error: 0.7413, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4005, root_relative_squared_error: 0.8402, scimark_benchmark: 1750.3868, usercpu_time_millis: 0.221, usercpu_time_millis_testing: 0.177, usercpu_time_millis_training: 0.044,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.497, f_measure: 0.5134, kb_relative_information_score: 0.1772, mean_absolute_error: 0.4544, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.4239, predictive_accuracy: 0.651, prior_entropy: 0.9335, recall: 0.651, relative_absolute_error: 0.9997, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4766, root_relative_squared_error: 1, scimark_benchmark: 788.7237, usercpu_time_millis: 0.113, usercpu_time_millis_testing: 0.062, usercpu_time_millis_training: 0.051,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.497, f_measure: 0.5134, kb_relative_information_score: 0.1772, mean_absolute_error: 0.4544, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.4239, predictive_accuracy: 0.651, prior_entropy: 0.9335, recall: 0.651, relative_absolute_error: 0.9997, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4766, root_relative_squared_error: 1, scimark_benchmark: 788.4014, usercpu_time_millis: 0.117, usercpu_time_millis_testing: 0.064, usercpu_time_millis_training: 0.053,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.497, f_measure: 0.5134, kb_relative_information_score: 0.1772, mean_absolute_error: 0.4544, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.4239, predictive_accuracy: 0.651, prior_entropy: 0.9335, recall: 0.651, relative_absolute_error: 0.9997, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4766, root_relative_squared_error: 1, scimark_benchmark: 1961.196, usercpu_time_millis: 0.15, usercpu_time_millis_testing: 0.058, usercpu_time_millis_training: 0.092,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.497, f_measure: 0.5134, kb_relative_information_score: 0.1772, mean_absolute_error: 0.4544, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.4239, predictive_accuracy: 0.651, prior_entropy: 0.9335, recall: 0.651, relative_absolute_error: 0.9997, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4766, root_relative_squared_error: 1, scimark_benchmark: 1749.9246, usercpu_time_millis: 0.08, usercpu_time_millis_testing: 0.044, usercpu_time_millis_training: 0.036,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.497, f_measure: 0.5134, kb_relative_information_score: 0.1772, mean_absolute_error: 0.4544, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.4239, predictive_accuracy: 0.651, prior_entropy: 0.9335, recall: 0.651, relative_absolute_error: 0.9997, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4766, root_relative_squared_error: 1, scimark_benchmark: 1721.747, usercpu_time_millis: 0.083, usercpu_time_millis_testing: 0.046, usercpu_time_millis_training: 0.037,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8307, f_measure: 0.7668, kappa: 0.4766, kb_relative_information_score: 247.8623, mean_absolute_error: 0.3152, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7698, predictive_accuracy: 0.7747, prior_entropy: 0.9335, recall: 0.7747, relative_absolute_error: 0.6936, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3961, root_relative_squared_error: 0.8311, scimark_benchmark: 793.8422, usercpu_time_millis: 0.238, usercpu_time_millis_testing: 0.18, usercpu_time_millis_training: 0.058,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8304, f_measure: 0.7686, kappa: 0.481, kb_relative_information_score: 253.1399, mean_absolute_error: 0.3115, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7711, predictive_accuracy: 0.776, prior_entropy: 0.9335, recall: 0.776, relative_absolute_error: 0.6855, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3962, root_relative_squared_error: 0.8312, scimark_benchmark: 1897.2773, usercpu_time_millis: 0.395, usercpu_time_millis_testing: 0.311, usercpu_time_millis_training: 0.084,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8301, f_measure: 0.7701, kappa: 0.4845, kb_relative_information_score: 253.5756, mean_absolute_error: 0.3113, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7725, predictive_accuracy: 0.7773, prior_entropy: 0.9335, recall: 0.7773, relative_absolute_error: 0.6849, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3961, root_relative_squared_error: 0.8311, scimark_benchmark: 793.0168, usercpu_time_millis: 0.25, usercpu_time_millis_testing: 0.189, usercpu_time_millis_training: 0.061,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.497, f_measure: 0.5134, kb_relative_information_score: 0.1772, mean_absolute_error: 0.4544, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.4239, predictive_accuracy: 0.651, prior_entropy: 0.9335, recall: 0.651, relative_absolute_error: 0.9997, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4766, root_relative_squared_error: 1, scimark_benchmark: 787.8104, usercpu_time_millis: 0.112, usercpu_time_millis_testing: 0.061, usercpu_time_millis_training: 0.051,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8305, f_measure: 0.7625, kappa: 0.467, kb_relative_information_score: 243.7022, mean_absolute_error: 0.3183, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7656, predictive_accuracy: 0.7708, prior_entropy: 0.9335, recall: 0.7708, relative_absolute_error: 0.7003, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3961, root_relative_squared_error: 0.8311, scimark_benchmark: 792.2412, usercpu_time_millis: 0.252, usercpu_time_millis_testing: 0.189, usercpu_time_millis_training: 0.063,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8302, f_measure: 0.7701, kappa: 0.4845, kb_relative_information_score: 253.1616, mean_absolute_error: 0.3116, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7725, predictive_accuracy: 0.7773, prior_entropy: 0.9335, recall: 0.7773, relative_absolute_error: 0.6855, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3961, root_relative_squared_error: 0.8311, scimark_benchmark: 1720.3413, usercpu_time_millis: 0.202, usercpu_time_millis_testing: 0.161, usercpu_time_millis_training: 0.041,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.497, f_measure: 0.5134, kb_relative_information_score: 0.1772, mean_absolute_error: 0.4544, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.4239, predictive_accuracy: 0.651, prior_entropy: 0.9335, recall: 0.651, relative_absolute_error: 0.9997, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4766, root_relative_squared_error: 1, scimark_benchmark: 1752.969, usercpu_time_millis: 0.073, usercpu_time_millis_testing: 0.04, usercpu_time_millis_training: 0.033,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.497, f_measure: 0.5134, kb_relative_information_score: 0.1772, mean_absolute_error: 0.4544, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.4239, predictive_accuracy: 0.651, prior_entropy: 0.9335, recall: 0.651, relative_absolute_error: 0.9997, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4766, root_relative_squared_error: 1, scimark_benchmark: 1752.0468, usercpu_time_millis: 0.08, usercpu_time_millis_testing: 0.044, usercpu_time_millis_training: 0.036,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.497, f_measure: 0.5134, kb_relative_information_score: 0.1772, mean_absolute_error: 0.4544, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.4239, predictive_accuracy: 0.651, prior_entropy: 0.9335, recall: 0.651, relative_absolute_error: 0.9997, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4766, root_relative_squared_error: 1, scimark_benchmark: 1750.3253, usercpu_time_millis: 0.078, usercpu_time_millis_testing: 0.043, usercpu_time_millis_training: 0.035,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8291, f_measure: 0.7465, kappa: 0.4288, kb_relative_information_score: 165.2996, mean_absolute_error: 0.3687, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7686, predictive_accuracy: 0.7656, prior_entropy: 0.9335, recall: 0.7656, relative_absolute_error: 0.8112, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4108, root_relative_squared_error: 0.8618, scimark_benchmark: 1751.2522, usercpu_time_millis: 0.191, usercpu_time_millis_testing: 0.154, usercpu_time_millis_training: 0.037,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.497, f_measure: 0.5134, kb_relative_information_score: 0.1772, mean_absolute_error: 0.4544, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.4239, predictive_accuracy: 0.651, prior_entropy: 0.9335, recall: 0.651, relative_absolute_error: 0.9997, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4766, root_relative_squared_error: 1, scimark_benchmark: 2001.7522, usercpu_time_millis: 0.1, usercpu_time_millis_testing: 0.055, usercpu_time_millis_training: 0.045,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8255, f_measure: 0.7525, kappa: 0.4427, kb_relative_information_score: 199.9829, mean_absolute_error: 0.3469, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7621, predictive_accuracy: 0.7656, prior_entropy: 0.9335, recall: 0.7656, relative_absolute_error: 0.7633, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4032, root_relative_squared_error: 0.8459, scimark_benchmark: 1752.1591, usercpu_time_millis: 0.195, usercpu_time_millis_testing: 0.157, usercpu_time_millis_training: 0.038,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8304, f_measure: 0.7572, kappa: 0.4545, kb_relative_information_score: 234.6571, mean_absolute_error: 0.3244, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7617, predictive_accuracy: 0.7669, prior_entropy: 0.9335, recall: 0.7669, relative_absolute_error: 0.7139, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3969, root_relative_squared_error: 0.8327, scimark_benchmark: 1750.3868, usercpu_time_millis: 0.205, usercpu_time_millis_testing: 0.163, usercpu_time_millis_training: 0.042,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.497, f_measure: 0.5134, kb_relative_information_score: 0.1772, mean_absolute_error: 0.4544, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.4239, predictive_accuracy: 0.651, prior_entropy: 0.9335, recall: 0.651, relative_absolute_error: 0.9997, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4766, root_relative_squared_error: 1, scimark_benchmark: 1750.3868, usercpu_time_millis: 0.074, usercpu_time_millis_testing: 0.042, usercpu_time_millis_training: 0.032,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7896, f_measure: 0.6824, kappa: 0.2966, kb_relative_information_score: 101.28, mean_absolute_error: 0.4049, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7624, predictive_accuracy: 0.7305, prior_entropy: 0.9335, recall: 0.7305, relative_absolute_error: 0.891, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4351, root_relative_squared_error: 0.9127, scimark_benchmark: 1753.7072, usercpu_time_millis: 0.201, usercpu_time_millis_testing: 0.163, usercpu_time_millis_training: 0.038,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7858, f_measure: 0.5181, kappa: 0.0045, kb_relative_information_score: 57.0703, mean_absolute_error: 0.4282, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.5988, predictive_accuracy: 0.651, prior_entropy: 0.9335, recall: 0.651, relative_absolute_error: 0.9421, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4522, root_relative_squared_error: 0.9486, scimark_benchmark: 1748.8645, usercpu_time_millis: 0.194, usercpu_time_millis_testing: 0.158, usercpu_time_millis_training: 0.036,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8302, f_measure: 0.7701, kappa: 0.4845, kb_relative_information_score: 253.7973, mean_absolute_error: 0.3111, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7725, predictive_accuracy: 0.7773, prior_entropy: 0.9335, recall: 0.7773, relative_absolute_error: 0.6844, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3962, root_relative_squared_error: 0.8313, scimark_benchmark: 1750.8922, usercpu_time_millis: 0.22, usercpu_time_millis_testing: 0.176, usercpu_time_millis_training: 0.044,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.497, f_measure: 0.5134, kb_relative_information_score: 0.1772, mean_absolute_error: 0.4544, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.4239, predictive_accuracy: 0.651, prior_entropy: 0.9335, recall: 0.651, relative_absolute_error: 0.9997, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4766, root_relative_squared_error: 1, scimark_benchmark: 1750.3253, usercpu_time_millis: 0.089, usercpu_time_millis_testing: 0.05, usercpu_time_millis_training: 0.039,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.497, f_measure: 0.5134, kb_relative_information_score: 0.1772, mean_absolute_error: 0.4544, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.4239, predictive_accuracy: 0.651, prior_entropy: 0.9335, recall: 0.651, relative_absolute_error: 0.9997, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4766, root_relative_squared_error: 1, scimark_benchmark: 1751.3544, usercpu_time_millis: 0.077, usercpu_time_millis_testing: 0.042, usercpu_time_millis_training: 0.035,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8306, f_measure: 0.7656, kappa: 0.4741, kb_relative_information_score: 248.7078, mean_absolute_error: 0.3147, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7684, predictive_accuracy: 0.7734, prior_entropy: 0.9335, recall: 0.7734, relative_absolute_error: 0.6924, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3961, root_relative_squared_error: 0.831, scimark_benchmark: 1874.4726, usercpu_time_millis: 0.195, usercpu_time_millis_testing: 0.155, usercpu_time_millis_training: 0.04,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.497, f_measure: 0.5134, kb_relative_information_score: 0.1772, mean_absolute_error: 0.4544, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.4239, predictive_accuracy: 0.651, prior_entropy: 0.9335, recall: 0.651, relative_absolute_error: 0.9997, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4766, root_relative_squared_error: 1, scimark_benchmark: 1751.8191, usercpu_time_millis: 0.079, usercpu_time_millis_testing: 0.043, usercpu_time_millis_training: 0.036,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.497, f_measure: 0.5134, kb_relative_information_score: 0.1772, mean_absolute_error: 0.4544, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.4239, predictive_accuracy: 0.651, prior_entropy: 0.9335, recall: 0.651, relative_absolute_error: 0.9997, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4766, root_relative_squared_error: 1, scimark_benchmark: 1750.8922, usercpu_time_millis: 0.077, usercpu_time_millis_testing: 0.043, usercpu_time_millis_training: 0.034,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8299, f_measure: 0.7603, kappa: 0.4603, kb_relative_information_score: 194.3748, mean_absolute_error: 0.3505, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7716, predictive_accuracy: 0.7734, prior_entropy: 0.9335, recall: 0.7734, relative_absolute_error: 0.7712, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4034, root_relative_squared_error: 0.8464, scimark_benchmark: 1747.5976, usercpu_time_millis: 0.207, usercpu_time_millis_testing: 0.166, usercpu_time_millis_training: 0.041,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.497, f_measure: 0.5134, kb_relative_information_score: 0.1772, mean_absolute_error: 0.4544, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.4239, predictive_accuracy: 0.651, prior_entropy: 0.9335, recall: 0.651, relative_absolute_error: 0.9997, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4766, root_relative_squared_error: 1, scimark_benchmark: 1745.7305, usercpu_time_millis: 0.087, usercpu_time_millis_testing: 0.049, usercpu_time_millis_training: 0.038,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8308, f_measure: 0.7625, kappa: 0.467, kb_relative_information_score: 242.8171, mean_absolute_error: 0.3188, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7656, predictive_accuracy: 0.7708, prior_entropy: 0.9335, recall: 0.7708, relative_absolute_error: 0.7016, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3962, root_relative_squared_error: 0.8311, scimark_benchmark: 1773.2346, usercpu_time_millis: 0.205, usercpu_time_millis_testing: 0.165, usercpu_time_millis_training: 0.04,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8293, f_measure: 0.7588, kappa: 0.458, kb_relative_information_score: 235.5943, mean_absolute_error: 0.3237, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7631, predictive_accuracy: 0.7682, prior_entropy: 0.9335, recall: 0.7682, relative_absolute_error: 0.7123, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3972, root_relative_squared_error: 0.8334, scimark_benchmark: 1762.2739, usercpu_time_millis: 0.208, usercpu_time_millis_testing: 0.165, usercpu_time_millis_training: 0.043,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7908, f_measure: 0.6931, kappa: 0.3172, kb_relative_information_score: 110.6852, mean_absolute_error: 0.3997, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.761, predictive_accuracy: 0.7357, prior_entropy: 0.9335, recall: 0.7357, relative_absolute_error: 0.8794, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4317, root_relative_squared_error: 0.9058, scimark_benchmark: 1772.5739, usercpu_time_millis: 0.194, usercpu_time_millis_testing: 0.157, usercpu_time_millis_training: 0.037,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8287, f_measure: 0.758, kappa: 0.456, kb_relative_information_score: 227.7787, mean_absolute_error: 0.3288, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7634, predictive_accuracy: 0.7682, prior_entropy: 0.9335, recall: 0.7682, relative_absolute_error: 0.7235, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3983, root_relative_squared_error: 0.8357, scimark_benchmark: 1755.0788, usercpu_time_millis: 0.209, usercpu_time_millis_testing: 0.169, usercpu_time_millis_training: 0.04,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.497, f_measure: 0.5134, kb_relative_information_score: 0.1772, mean_absolute_error: 0.4544, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.4239, predictive_accuracy: 0.651, prior_entropy: 0.9335, recall: 0.651, relative_absolute_error: 0.9997, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4766, root_relative_squared_error: 1, scimark_benchmark: 1752.1591, usercpu_time_millis: 0.077, usercpu_time_millis_testing: 0.044, usercpu_time_millis_training: 0.033,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.497, f_measure: 0.5134, kb_relative_information_score: 0.1772, mean_absolute_error: 0.4544, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.4239, predictive_accuracy: 0.651, prior_entropy: 0.9335, recall: 0.651, relative_absolute_error: 0.9997, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4766, root_relative_squared_error: 1, scimark_benchmark: 1770.6272, usercpu_time_millis: 0.086, usercpu_time_millis_testing: 0.049, usercpu_time_millis_training: 0.037,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.497, f_measure: 0.5134, kb_relative_information_score: 0.1772, mean_absolute_error: 0.4544, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.4239, predictive_accuracy: 0.651, prior_entropy: 0.9335, recall: 0.651, relative_absolute_error: 0.9997, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4766, root_relative_squared_error: 1, scimark_benchmark: 1768.6939, usercpu_time_millis: 0.082, usercpu_time_millis_testing: 0.045, usercpu_time_millis_training: 0.037,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.497, f_measure: 0.5134, kb_relative_information_score: 0.1772, mean_absolute_error: 0.4544, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.4239, predictive_accuracy: 0.651, prior_entropy: 0.9335, recall: 0.651, relative_absolute_error: 0.9997, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4766, root_relative_squared_error: 1, scimark_benchmark: 1749.9246, usercpu_time_millis: 0.077, usercpu_time_millis_testing: 0.044, usercpu_time_millis_training: 0.033,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.497, f_measure: 0.5134, kb_relative_information_score: 0.1772, mean_absolute_error: 0.4544, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.4239, predictive_accuracy: 0.651, prior_entropy: 0.9335, recall: 0.651, relative_absolute_error: 0.9997, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4766, root_relative_squared_error: 1, scimark_benchmark: 1748.0015, usercpu_time_millis: 0.108, usercpu_time_millis_testing: 0.056, usercpu_time_millis_training: 0.052,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8288, f_measure: 0.7588, kappa: 0.4571, kb_relative_information_score: 202.7705, mean_absolute_error: 0.3451, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7675, predictive_accuracy: 0.7708, prior_entropy: 0.9335, recall: 0.7708, relative_absolute_error: 0.7594, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4019, root_relative_squared_error: 0.8433, scimark_benchmark: 1769.1835, usercpu_time_millis: 0.195, usercpu_time_millis_testing: 0.157, usercpu_time_millis_training: 0.038,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8161, f_measure: 0.7376, kappa: 0.409, kb_relative_information_score: 154.4599, mean_absolute_error: 0.375, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7628, predictive_accuracy: 0.7591, prior_entropy: 0.9335, recall: 0.7591, relative_absolute_error: 0.8252, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4155, root_relative_squared_error: 0.8716, scimark_benchmark: 1747.0922, usercpu_time_millis: 0.197, usercpu_time_millis_testing: 0.16, usercpu_time_millis_training: 0.037,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.497, f_measure: 0.5134, kb_relative_information_score: 0.1772, mean_absolute_error: 0.4544, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.4239, predictive_accuracy: 0.651, prior_entropy: 0.9335, recall: 0.651, relative_absolute_error: 0.9997, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4766, root_relative_squared_error: 1, scimark_benchmark: 1872.8797, usercpu_time_millis: 0.079, usercpu_time_millis_testing: 0.043, usercpu_time_millis_training: 0.036,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.497, f_measure: 0.5134, kb_relative_information_score: 0.1772, mean_absolute_error: 0.4544, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.4239, predictive_accuracy: 0.651, prior_entropy: 0.9335, recall: 0.651, relative_absolute_error: 0.9997, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4766, root_relative_squared_error: 1, scimark_benchmark: 1872.4881, usercpu_time_millis: 0.08, usercpu_time_millis_testing: 0.043, usercpu_time_millis_training: 0.037,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8309, f_measure: 0.7668, kappa: 0.4766, kb_relative_information_score: 241.4766, mean_absolute_error: 0.3196, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7698, predictive_accuracy: 0.7747, prior_entropy: 0.9335, recall: 0.7747, relative_absolute_error: 0.7032, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3964, root_relative_squared_error: 0.8316, scimark_benchmark: 1872.0458, usercpu_time_millis: 0.212, usercpu_time_millis_testing: 0.17, usercpu_time_millis_training: 0.042,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.497, f_measure: 0.5134, kb_relative_information_score: 0.1772, mean_absolute_error: 0.4544, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.4239, predictive_accuracy: 0.651, prior_entropy: 0.9335, recall: 0.651, relative_absolute_error: 0.9997, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4766, root_relative_squared_error: 1, scimark_benchmark: 1765.7856, usercpu_time_millis: 0.077, usercpu_time_millis_testing: 0.043, usercpu_time_millis_training: 0.034,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.497, f_measure: 0.5134, kb_relative_information_score: 0.1772, mean_absolute_error: 0.4544, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.4239, predictive_accuracy: 0.651, prior_entropy: 0.9335, recall: 0.651, relative_absolute_error: 0.9997, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4766, root_relative_squared_error: 1, scimark_benchmark: 1873.9387, usercpu_time_millis: 0.074, usercpu_time_millis_testing: 0.041, usercpu_time_millis_training: 0.033,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8303, f_measure: 0.7686, kappa: 0.481, kb_relative_information_score: 250.6948, mean_absolute_error: 0.3134, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7711, predictive_accuracy: 0.776, prior_entropy: 0.9335, recall: 0.776, relative_absolute_error: 0.6895, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.396, root_relative_squared_error: 0.8308, scimark_benchmark: 1936.8599, usercpu_time_millis: 0.356, usercpu_time_millis_testing: 0.309, usercpu_time_millis_training: 0.047,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8303, f_measure: 0.7671, kappa: 0.4776, kb_relative_information_score: 250.0044, mean_absolute_error: 0.3138, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7697, predictive_accuracy: 0.7747, prior_entropy: 0.9335, recall: 0.7747, relative_absolute_error: 0.6905, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.396, root_relative_squared_error: 0.8308, scimark_benchmark: 1869.1029, usercpu_time_millis: 0.226, usercpu_time_millis_testing: 0.184, usercpu_time_millis_training: 0.042,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.497, f_measure: 0.5134, kb_relative_information_score: 0.1772, mean_absolute_error: 0.4544, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.4239, predictive_accuracy: 0.651, prior_entropy: 0.9335, recall: 0.651, relative_absolute_error: 0.9997, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4766, root_relative_squared_error: 1, scimark_benchmark: 1871.9601, usercpu_time_millis: 0.086, usercpu_time_millis_testing: 0.048, usercpu_time_millis_training: 0.038,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7861, f_measure: 0.5134, kb_relative_information_score: 32.9457, mean_absolute_error: 0.4398, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.4239, predictive_accuracy: 0.651, prior_entropy: 0.9335, recall: 0.651, relative_absolute_error: 0.9677, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4623, root_relative_squared_error: 0.9699, scimark_benchmark: 1869.6309, usercpu_time_millis: 0.228, usercpu_time_millis_testing: 0.188, usercpu_time_millis_training: 0.04,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.497, f_measure: 0.5134, kb_relative_information_score: 0.1772, mean_absolute_error: 0.4544, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.4239, predictive_accuracy: 0.651, prior_entropy: 0.9335, recall: 0.651, relative_absolute_error: 0.9997, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4766, root_relative_squared_error: 1, scimark_benchmark: 1868.7112, usercpu_time_millis: 0.086, usercpu_time_millis_testing: 0.05, usercpu_time_millis_training: 0.036,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8303, f_measure: 0.7671, kappa: 0.4776, kb_relative_information_score: 250.3803, mean_absolute_error: 0.3136, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7697, predictive_accuracy: 0.7747, prior_entropy: 0.9335, recall: 0.7747, relative_absolute_error: 0.6899, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.396, root_relative_squared_error: 0.8309, scimark_benchmark: 1869.6309, usercpu_time_millis: 0.228, usercpu_time_millis_testing: 0.181, usercpu_time_millis_training: 0.047,

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