
Performance comparison of machine learning models based on Pearson correlation (r), Spearman correlation (rs), and mean absolute error (MAE) for the stress set. Random Forest Regression demonstrates the best predictive accuracy with the highest (r) of 0.64 and the lowest MAE of 1.63. Linear Regression shows poor correlations and high MAE with respect to other models.










