Fig. 2From: Using autoencoders as a weight initialization method on deep neural networks for disease detectionBaseline ROC-AUC and Precision-Recall Curves for the RNA-Seq data. Baseline a ROC-AUC and b Precision-Recall curves when detecting breast cancer detection in the RNA-Seq input data, using a Fully Connected Neural Network (the classification architecture, without the AE as top layers). Each line represent the different 10 folds for the cross validationBack to article page