Regression Data Analysis, Overfitting, Loocv, Crossvalidation, Calibration.
Regularisation: Implement regularisation techniques, such as L1 (Lasso) or L2 (Ridge) regularisation, which add a penalty term to the loss function based on the complexity of the model. This encourages simpler models and helps prevent overfitting. Model selection criteria: Use information criteria