Fig. 2

Shows the PMC model testing metrics for the ratio stress index (RSI) combined with Tc as input data for machine learning models. a is the random forest model, b is the partial least squares model, c is the support vector machine model, and d is the artificial neural network model. Error metrics are presented in percentage. The green line is the regression line, while the red dashed line is the 1:1 ratio line. The higher point density indicates the regions with more samples, while the proximity to the regression line indicates model accuracy.