Fig. 5: The 20-fold cross-validation performance of ML models on the prediction of material properties.
From: An artificial intelligence-aided virtual screening recipe for two-dimensional materials discovery
The top six figures show the regression results in R-squared (R2) and mean absolute error (MAE) in units of eV/atom or eV. The bottom three figures show the confusion matrices and the F-Measure values of the classification models.
