This function searches a directory for machine learning models and filters them based on a
specified AUC threshold for either the ROC or Precision-Recall curves. It returns a list of
model file names that meet the specified AUC criteria.
Usage
find.ML.models(folder_path, metric, AUC)
Arguments
- folder_path
A character string specifying the directory path where the machine learning
models are stored.
- metric
A character string indicating which AUC metric to use. Choose either "ROC" or "PRC".
- AUC
A numeric value representing the minimum acceptable AUC score for the models.
Value
A character vector with the file paths of the ML models that meet the AUC criteria.
