ROC and PR curves are graphical tools for evaluating classification models, highlighting trade-offs in model performance.
Box-Cox and Yeo-Johnson are power transformations that normalize data but require careful handling to avoid numerical instability.
PCHIP is a cubic interpolation method that preserves monotonicity by computing shape-preserving derivatives to avoid overshoots.
