The 10-fold cross-validation results of three different feature constructions on the balanced training dataset.
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https://figshare.com/articles/dataset/The_10_fold_cross_validation_results_of_three_different_feature_constructions_on_the_balanced_training_dataset_/3198052
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资源简介：
The results have been run 20 times for every feature construction by SVM algorithm with g = 0.005 and cutoff = 0.5. The values are mean ± standard variance. The results of MDD-SOH were obtained in 5-fold cross-validation.
创建时间：
2016-04-25
