Cross-validation Model Evaluation and Plotting

performs model evaluation using cross-validation results, calculates multiple metrics (AUC, Tjur R², Boyce index, RMSE), and generates summary plots for explanatory and predictive power.

Usage

mod_cv_evaluate(model_dir = NULL, cv_type = "cv_dist")

Arguments

model_dir

Character. Path to the root directory of the fitted model.

cv_type

Character. Cross-validation type. One of cv_dist (default) or cv_large. See mod_cv_fit() for more details.

Value

Invisibly returns the path to the saved evaluation data file.

Author

Ahmed El-Gabbas