Cross-Validation Possibilities Based on the Nature of Data

This training material provides an overview of cross-validation strategies and explains how different validation approaches should be chosen depending on the structure of the data. It highlights why cross-validation is not universal and how improper splitting can lead to misleading model evaluation results.