Fig. 4

Sparse PLS-DA models in the 2-class settings. (a). ROC curve assessing the classification performance of the PLS-DA model with 1 latent components and 8 features in the X-ALD vs. ZDC 2-class setting. (b). Feature stability evaluation in 5-fold – 100x cross validation in the X-ALD vs. ZDC 2-class setting. (c). ROC curve assessing the classification performance of the sparse PLS-DA model with 1 latent component and 15 features in the ZS vs. XDC 2-class setting. (d). Feature stability per in 5-fold – 100x cross validation in the ZS vs. XDC 2-class setting