Fig 6. Visual representation of principal components of covariance among five decision metrics derived from ten replicates of 10-fold cross-validation results created by 10 GP methods.

Principal components 1, 2, and 3 (PC1, PC2, and PC3) explain 0.68, 0.19, and 0.1 of the total variability.