Core Concepts

What Is Overfitting?

Overfitting occurs when a model learns the training data too closely — including its noise and quirks — and then performs poorly on new, unseen examples. It is a central challenge in machine learning, addressed with techniques like more data, regularization, and validation to ensure a model generalizes rather than memorizes.