Extract ML models from a directory based on specific AUC score

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.