MLP’s and sdAE’s ROC curve AUC with 95% confidence intervals evaluated on subsets of SNVs from the training dataset II that could not be processed by other predictors.
This study tests the applicability of three resampling methods (i.e. bootstrapping, random-subsampling and cross-validation) for enhancing the performance of eight machine-learning models: boosted reg
