Avoid Overfitting: Building Models That Generalize
In the pursuit of accurate predictions, it’s easy to fall into the trap of overfitting. This happens when a model learns the training data too well—capturing not only the underlying patterns but also the noise. The result? A model that performs impressively on training data but struggles when faced with Read more