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: 0.497, 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: 0.048, usercpu_time_millis_training: 0.038,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8294, f_measure: 0.7347, kappa: 0.4032, kb_relative_information_score: 149.1852, mean_absolute_error: 0.3784, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7672, predictive_accuracy: 0.7591, prior_entropy: 0.9335, recall: 0.7591, relative_absolute_error: 0.8325, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4157, root_relative_squared_error: 0.8721, scimark_benchmark: 1753.7072, usercpu_time_millis: 0.197, usercpu_time_millis_testing: 0.158, usercpu_time_millis_training: 0.039,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8273, f_measure: 0.737, kappa: 0.4075, kb_relative_information_score: 161.5849, mean_absolute_error: 0.3704, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7601, predictive_accuracy: 0.7578, prior_entropy: 0.9335, recall: 0.7578, relative_absolute_error: 0.815, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4122, root_relative_squared_error: 0.8649, scimark_benchmark: 1879.0349, usercpu_time_millis: 0.472, usercpu_time_millis_testing: 0.317, usercpu_time_millis_training: 0.155,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8306, f_measure: 0.7652, kappa: 0.4731, kb_relative_information_score: 247.3133, mean_absolute_error: 0.3156, 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: 0.6945, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3961, root_relative_squared_error: 0.8311, scimark_benchmark: 1842.4182, usercpu_time_millis: 0.192, usercpu_time_millis_testing: 0.152, 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: 1836.2956, 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: 0.8293, f_measure: 0.7573, kappa: 0.454, kb_relative_information_score: 220.2714, mean_absolute_error: 0.3339, 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: 0.7346, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.399, root_relative_squared_error: 0.8372, scimark_benchmark: 1837.3642, usercpu_time_millis: 0.193, usercpu_time_millis_testing: 0.155, 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: 1750.5206, usercpu_time_millis: 0.078, usercpu_time_millis_testing: 0.042, 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: 1749.9829, 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: 0.8303, f_measure: 0.7698, kappa: 0.4836, kb_relative_information_score: 252.6777, mean_absolute_error: 0.3118, 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: 0.6861, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3962, root_relative_squared_error: 0.8313, scimark_benchmark: 1751.3544, usercpu_time_millis: 0.197, usercpu_time_millis_testing: 0.157, usercpu_time_millis_training: 0.04,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8302, f_measure: 0.7701, kappa: 0.4845, kb_relative_information_score: 253.5721, 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: 1748.4022, usercpu_time_millis: 0.203, usercpu_time_millis_testing: 0.159, usercpu_time_millis_training: 0.044,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8306, f_measure: 0.7652, kappa: 0.4731, kb_relative_information_score: 244.9429, mean_absolute_error: 0.3173, 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: 0.6981, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3962, root_relative_squared_error: 0.8311, scimark_benchmark: 1838.1172, usercpu_time_millis: 0.198, usercpu_time_millis_testing: 0.158, 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: 1748.8645, 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: 0.8309, f_measure: 0.7652, kappa: 0.4731, kb_relative_information_score: 244.5362, mean_absolute_error: 0.3175, 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: 0.6985, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3963, root_relative_squared_error: 0.8314, scimark_benchmark: 1839.9499, usercpu_time_millis: 0.211, usercpu_time_millis_testing: 0.169, usercpu_time_millis_training: 0.042,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8306, f_measure: 0.7625, kappa: 0.467, kb_relative_information_score: 247.0274, mean_absolute_error: 0.316, 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: 0.6953, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.396, root_relative_squared_error: 0.8308, scimark_benchmark: 1839.4416, 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: 1834.9046, usercpu_time_millis: 0.088, usercpu_time_millis_testing: 0.049, 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: 1832.6098, usercpu_time_millis: 0.086, usercpu_time_millis_testing: 0.047, 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: 1836.2956, 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: 0.8302, f_measure: 0.7701, kappa: 0.4845, kb_relative_information_score: 253.5517, 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: 0.3962, root_relative_squared_error: 0.8312, scimark_benchmark: 1839.5082, usercpu_time_millis: 0.207, usercpu_time_millis_testing: 0.164, usercpu_time_millis_training: 0.043,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8309, f_measure: 0.7637, kappa: 0.4696, kb_relative_information_score: 241.4898, mean_absolute_error: 0.3197, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7671, predictive_accuracy: 0.7721, prior_entropy: 0.9335, recall: 0.7721, relative_absolute_error: 0.7034, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3963, root_relative_squared_error: 0.8314, scimark_benchmark: 1750.3868, usercpu_time_millis: 0.193, usercpu_time_millis_testing: 0.155, usercpu_time_millis_training: 0.038,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8309, f_measure: 0.7652, kappa: 0.4731, kb_relative_information_score: 239.0819, mean_absolute_error: 0.3213, 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: 0.7068, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3965, root_relative_squared_error: 0.8319, scimark_benchmark: 1752.1591, usercpu_time_millis: 0.206, usercpu_time_millis_testing: 0.167, 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: 1750.7876, 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: 1750.8515, 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: 0.8286, f_measure: 0.7569, kappa: 0.453, kb_relative_information_score: 208.9518, mean_absolute_error: 0.3411, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.764, predictive_accuracy: 0.7682, prior_entropy: 0.9335, recall: 0.7682, relative_absolute_error: 0.7506, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4009, root_relative_squared_error: 0.8412, scimark_benchmark: 1747.5569, usercpu_time_millis: 0.207, usercpu_time_millis_testing: 0.168, 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: 1751.6968, usercpu_time_millis: 0.081, usercpu_time_millis_testing: 0.045, 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: 1751.7584, 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: 0.8303, f_measure: 0.7716, kappa: 0.488, kb_relative_information_score: 253.6001, mean_absolute_error: 0.3112, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7739, predictive_accuracy: 0.7786, prior_entropy: 0.9335, recall: 0.7786, 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: 1750.3868, usercpu_time_millis: 0.21, usercpu_time_millis_testing: 0.168, usercpu_time_millis_training: 0.042,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8308, f_measure: 0.7625, kappa: 0.467, kb_relative_information_score: 241.208, mean_absolute_error: 0.3199, 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: 0.7039, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3963, root_relative_squared_error: 0.8314, scimark_benchmark: 1750.3253, usercpu_time_millis: 0.206, usercpu_time_millis_testing: 0.164, usercpu_time_millis_training: 0.042,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8234, f_measure: 0.5134, kb_relative_information_score: 13.8471, mean_absolute_error: 0.4484, 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: 0.9865, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4705, root_relative_squared_error: 0.987, scimark_benchmark: 1874.4489, usercpu_time_millis: 0.2, usercpu_time_millis_testing: 0.164, 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: 1751.6968, usercpu_time_millis: 0.079, usercpu_time_millis_testing: 0.042, 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: 1874.4489, usercpu_time_millis: 0.079, usercpu_time_millis_testing: 0.045, usercpu_time_millis_training: 0.034,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8302, f_measure: 0.7701, kappa: 0.4845, kb_relative_information_score: 252.3045, mean_absolute_error: 0.3122, 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: 0.6869, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3961, root_relative_squared_error: 0.831, scimark_benchmark: 1874.5188, 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: 0.8307, f_measure: 0.7641, kappa: 0.4705, kb_relative_information_score: 247.3127, mean_absolute_error: 0.3157, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.767, predictive_accuracy: 0.7721, prior_entropy: 0.9335, recall: 0.7721, relative_absolute_error: 0.6947, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.396, root_relative_squared_error: 0.8308, scimark_benchmark: 1869.1727, usercpu_time_millis: 0.191, usercpu_time_millis_testing: 0.153, 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: 1749.9829, usercpu_time_millis: 0.073, usercpu_time_millis_testing: 0.042, usercpu_time_millis_training: 0.031,
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: 1878.6652, usercpu_time_millis: 0.097, usercpu_time_millis_testing: 0.053, usercpu_time_millis_training: 0.044,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5256, f_measure: 0.5134, kb_relative_information_score: 0.3347, mean_absolute_error: 0.4543, 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: 0.9996, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4766, root_relative_squared_error: 0.9998, scimark_benchmark: 1878.4261, usercpu_time_millis: 0.153, usercpu_time_millis_testing: 0.052, usercpu_time_millis_training: 0.101,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8349, f_measure: 0.771, kappa: 0.4873, kb_relative_information_score: 267.8593, mean_absolute_error: 0.3002, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7724, predictive_accuracy: 0.7773, prior_entropy: 0.9335, recall: 0.7773, relative_absolute_error: 0.6606, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3933, root_relative_squared_error: 0.825,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.832, f_measure: 0.7691, kappa: 0.4865, kb_relative_information_score: 270.6874, mean_absolute_error: 0.2966, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7681, predictive_accuracy: 0.7721, prior_entropy: 0.9335, recall: 0.7721, relative_absolute_error: 0.6526, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3973, root_relative_squared_error: 0.8336,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8303, f_measure: 0.7692, kappa: 0.4829, kb_relative_information_score: 252.9175, mean_absolute_error: 0.3116, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.771, predictive_accuracy: 0.776, prior_entropy: 0.9335, recall: 0.776, relative_absolute_error: 0.6857, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3962, root_relative_squared_error: 0.8313,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8345, f_measure: 0.7572, kappa: 0.4545, kb_relative_information_score: 225.1979, mean_absolute_error: 0.3292, 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: 0.7244, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3966, root_relative_squared_error: 0.8321,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8303, f_measure: 0.7645, kappa: 0.4712, kb_relative_information_score: 190.6389, mean_absolute_error: 0.3527, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7687, predictive_accuracy: 0.7734, prior_entropy: 0.9335, recall: 0.7734, relative_absolute_error: 0.776, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4029, root_relative_squared_error: 0.8452,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8303, f_measure: 0.7645, kappa: 0.4712, kb_relative_information_score: 190.6389, mean_absolute_error: 0.3527, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7687, predictive_accuracy: 0.7734, prior_entropy: 0.9335, recall: 0.7734, relative_absolute_error: 0.776, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4029, root_relative_squared_error: 0.8452,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.832, f_measure: 0.753, kappa: 0.4448, kb_relative_information_score: 164.7848, mean_absolute_error: 0.3664, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7574, predictive_accuracy: 0.763, prior_entropy: 0.9335, recall: 0.763, relative_absolute_error: 0.8062, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.408, root_relative_squared_error: 0.856, scimark_benchmark: 809.9319, usercpu_time_millis: 3.79, usercpu_time_millis_testing: 0.5, usercpu_time_millis_training: 3.29,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8314, f_measure: 0.7553, kappa: 0.4504, kb_relative_information_score: 178.6111, mean_absolute_error: 0.358, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7586, predictive_accuracy: 0.7643, prior_entropy: 0.9335, recall: 0.7643, relative_absolute_error: 0.7876, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4051, root_relative_squared_error: 0.8499, scimark_benchmark: 752.6119, usercpu_time_millis: 6.62, usercpu_time_millis_testing: 0.95, usercpu_time_millis_training: 5.67,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.83, f_measure: 0.7556, kappa: 0.4562, kb_relative_information_score: 251.8193, mean_absolute_error: 0.3095, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7544, predictive_accuracy: 0.7591, prior_entropy: 0.9335, recall: 0.7591, relative_absolute_error: 0.681, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3972, root_relative_squared_error: 0.8334, scimark_benchmark: 777.2795, usercpu_time_millis: 1.61, usercpu_time_millis_testing: 0.12, usercpu_time_millis_training: 1.49,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8346, f_measure: 0.7626, kappa: 0.4723, kb_relative_information_score: 245.8954, mean_absolute_error: 0.3139, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7615, predictive_accuracy: 0.7656, prior_entropy: 0.9335, recall: 0.7656, relative_absolute_error: 0.6907, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3953, root_relative_squared_error: 0.8294, scimark_benchmark: 729.0404, usercpu_time_millis: 0.64, usercpu_time_millis_testing: 0.11, usercpu_time_millis_training: 0.53,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8333, f_measure: 0.7666, kappa: 0.4794, kb_relative_information_score: 227.6903, mean_absolute_error: 0.3274, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.766, predictive_accuracy: 0.7708, prior_entropy: 0.9335, recall: 0.7708, relative_absolute_error: 0.7204, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3965, root_relative_squared_error: 0.8318, scimark_benchmark: 795.3905, usercpu_time_millis: 5.81, usercpu_time_millis_testing: 0.63, usercpu_time_millis_training: 5.18,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8324, f_measure: 0.7558, kappa: 0.4529, kb_relative_information_score: 190.3596, mean_absolute_error: 0.3506, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.757, predictive_accuracy: 0.763, prior_entropy: 0.9335, recall: 0.763, relative_absolute_error: 0.7715, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4025, root_relative_squared_error: 0.8445, scimark_benchmark: 773.5917, usercpu_time_millis: 8.38, usercpu_time_millis_testing: 1.18, usercpu_time_millis_training: 7.2,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8322, f_measure: 0.7631, kappa: 0.4742, kb_relative_information_score: 256.2239, mean_absolute_error: 0.3065, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.762, predictive_accuracy: 0.7656, prior_entropy: 0.9335, recall: 0.7656, relative_absolute_error: 0.6745, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3966, root_relative_squared_error: 0.8321, scimark_benchmark: 760.3193, usercpu_time_millis: 9.88, usercpu_time_millis_testing: 0.69, usercpu_time_millis_training: 9.19,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8314, f_measure: 0.7646, kappa: 0.4775, kb_relative_information_score: 249.0651, mean_absolute_error: 0.3114, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7634, predictive_accuracy: 0.7669, prior_entropy: 0.9335, recall: 0.7669, relative_absolute_error: 0.6851, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3973, root_relative_squared_error: 0.8335, scimark_benchmark: 754.6107, usercpu_time_millis: 8.55, usercpu_time_millis_testing: 0.54, usercpu_time_millis_training: 8.01,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8356, f_measure: 0.7612, kappa: 0.4689, kb_relative_information_score: 236.433, mean_absolute_error: 0.3212, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.76, predictive_accuracy: 0.7643, prior_entropy: 0.9335, recall: 0.7643, relative_absolute_error: 0.7068, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3951, root_relative_squared_error: 0.8288, scimark_benchmark: 836.6278, usercpu_time_millis: 6.32, usercpu_time_millis_testing: 0.62, usercpu_time_millis_training: 5.7,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8339, f_measure: 0.7571, kappa: 0.4596, kb_relative_information_score: 246.4906, mean_absolute_error: 0.3145, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7559, predictive_accuracy: 0.7604, prior_entropy: 0.9335, recall: 0.7604, relative_absolute_error: 0.692, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3951, root_relative_squared_error: 0.829, scimark_benchmark: 782.424, usercpu_time_millis: 6.24, usercpu_time_millis_testing: 0.52, usercpu_time_millis_training: 5.72,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8306, f_measure: 0.7618, kappa: 0.4668, kb_relative_information_score: 196.3471, mean_absolute_error: 0.3463, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7626, predictive_accuracy: 0.7682, prior_entropy: 0.9335, recall: 0.7682, relative_absolute_error: 0.762, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4019, root_relative_squared_error: 0.8431, scimark_benchmark: 809.23, usercpu_time_millis: 6.21, usercpu_time_millis_testing: 0.74, usercpu_time_millis_training: 5.47,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8337, f_measure: 0.7571, kappa: 0.4596, kb_relative_information_score: 242.7543, mean_absolute_error: 0.3169, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7559, predictive_accuracy: 0.7604, prior_entropy: 0.9335, recall: 0.7604, relative_absolute_error: 0.6972, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3956, root_relative_squared_error: 0.83, scimark_benchmark: 785.3577, usercpu_time_millis: 7.99, usercpu_time_millis_testing: 0.66, usercpu_time_millis_training: 7.33,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8323, f_measure: 0.7696, kappa: 0.4883, kb_relative_information_score: 247.4179, mean_absolute_error: 0.3132, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7685, predictive_accuracy: 0.7721, prior_entropy: 0.9335, recall: 0.7721, relative_absolute_error: 0.6891, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3961, root_relative_squared_error: 0.8311, scimark_benchmark: 818.4551, usercpu_time_millis: 8.99, usercpu_time_millis_testing: 0.75, usercpu_time_millis_training: 8.24,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8298, f_measure: 0.7655, kappa: 0.4791, kb_relative_information_score: 251.0018, mean_absolute_error: 0.3099, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7644, predictive_accuracy: 0.7682, prior_entropy: 0.9335, recall: 0.7682, relative_absolute_error: 0.6819, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3981, root_relative_squared_error: 0.8351, scimark_benchmark: 810.8817, usercpu_time_millis: 9.79, usercpu_time_millis_testing: 0.56, usercpu_time_millis_training: 9.23,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8301, f_measure: 0.7634, kappa: 0.4751, kb_relative_information_score: 250.3249, mean_absolute_error: 0.3104, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7622, predictive_accuracy: 0.7656, prior_entropy: 0.9335, recall: 0.7656, relative_absolute_error: 0.683, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3978, root_relative_squared_error: 0.8346, scimark_benchmark: 786.033, usercpu_time_millis: 10.35, usercpu_time_millis_testing: 0.65, usercpu_time_millis_training: 9.7,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8326, f_measure: 0.7648, kappa: 0.4785, kb_relative_information_score: 246.6691, mean_absolute_error: 0.3135, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7637, predictive_accuracy: 0.7669, prior_entropy: 0.9335, recall: 0.7669, relative_absolute_error: 0.6897, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3963, root_relative_squared_error: 0.8314, scimark_benchmark: 766.5078, usercpu_time_millis: 8.63, usercpu_time_millis_testing: 0.67, usercpu_time_millis_training: 7.96,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8352, f_measure: 0.7708, kappa: 0.4908, kb_relative_information_score: 234.5436, mean_absolute_error: 0.3223, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7697, predictive_accuracy: 0.7734, prior_entropy: 0.9335, recall: 0.7734, relative_absolute_error: 0.7091, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3952, root_relative_squared_error: 0.8291, scimark_benchmark: 819.6242, usercpu_time_millis: 6.69, usercpu_time_millis_testing: 0.64, usercpu_time_millis_training: 6.05,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8317, f_measure: 0.7617, kappa: 0.4708, kb_relative_information_score: 249.2563, mean_absolute_error: 0.3114, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7605, predictive_accuracy: 0.7643, prior_entropy: 0.9335, recall: 0.7643, relative_absolute_error: 0.6851, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.397, root_relative_squared_error: 0.8329, scimark_benchmark: 772.7441, usercpu_time_millis: 15.85, usercpu_time_millis_testing: 1.1, usercpu_time_millis_training: 14.75,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8231, f_measure: 0.7512, kappa: 0.4498, kb_relative_information_score: 259.3263, mean_absolute_error: 0.3019, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7503, predictive_accuracy: 0.7526, prior_entropy: 0.9335, recall: 0.7526, relative_absolute_error: 0.6642, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4033, root_relative_squared_error: 0.8462, scimark_benchmark: 849.7928, usercpu_time_millis: 5.43, usercpu_time_millis_testing: 0.31, usercpu_time_millis_training: 5.12,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8296, f_measure: 0.7648, kappa: 0.4751, kb_relative_information_score: 221.7583, mean_absolute_error: 0.3309, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7644, predictive_accuracy: 0.7695, prior_entropy: 0.9335, recall: 0.7695, relative_absolute_error: 0.728, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3984, root_relative_squared_error: 0.8358, scimark_benchmark: 777.0497, usercpu_time_millis: 3.3, usercpu_time_millis_testing: 0.36, usercpu_time_millis_training: 2.94,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8328, f_measure: 0.7741, kappa: 0.4993, kb_relative_information_score: 250.2114, mean_absolute_error: 0.3109, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7731, predictive_accuracy: 0.776, prior_entropy: 0.9335, recall: 0.776, relative_absolute_error: 0.684, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3959, root_relative_squared_error: 0.8306, scimark_benchmark: 856.3682, usercpu_time_millis: 8.05, usercpu_time_millis_testing: 0.7, usercpu_time_millis_training: 7.35,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8347, f_measure: 0.7716, kappa: 0.4903, kb_relative_information_score: 231.6883, mean_absolute_error: 0.3247, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7713, predictive_accuracy: 0.776, prior_entropy: 0.9335, recall: 0.776, relative_absolute_error: 0.7144, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3956, root_relative_squared_error: 0.83, scimark_benchmark: 791.2774, usercpu_time_millis: 8, usercpu_time_millis_testing: 0.95, usercpu_time_millis_training: 7.05,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8306, f_measure: 0.7598, kappa: 0.4642, kb_relative_information_score: 228.2142, mean_absolute_error: 0.3265, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7591, predictive_accuracy: 0.7643, prior_entropy: 0.9335, recall: 0.7643, relative_absolute_error: 0.7184, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3975, root_relative_squared_error: 0.834, scimark_benchmark: 790.0902, usercpu_time_millis: 3.27, usercpu_time_millis_testing: 0.37, usercpu_time_millis_training: 2.9,

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