Model evaluation measures how well a trained machine learning model performs on unseen data, while validation guides tuning during development. Best practice involves splitting data into training, ...

Researchers have unveiled an interpretable, lightweight AI text detection framework using classical machine learning models that achieves near-perfect accuracy while lowering computational costs.