Скачать или смотреть Why Average Performance Metrics In Cross-Validation?

Ever wondered about the fundamental reason behind averaging performance metrics in cross-validation? This video explores the 'why' behind this crucial practice in machine learning model evaluation.

Dive into the essential principles of cross-validation and learn why averaging is key:
► Understand how averaging mitigates variance in performance estimates.
► Discover its role in providing a more robust and generalizable assessment of model performance.
► Learn why single-fold evaluations can be misleading and how averaging addresses this.
► Grasp the concept of reducing noise and improving the reliability of your evaluation metrics.


#CrossValidation, #MachineLearning, #DataScience, #AIExplained, #ModelEvaluation