How do you compare and contrast different models using validation metrics?
When you build statistical models, you want to make sure they perform well on new data, not just on the data you used to train them. That's why you need validation metrics, which are numerical measures of how well your models fit the data and generalize to unseen situations. In this article, you'll learn how to compare different models using validation metrics, and how to choose the best one for your purpose.