Imagine teaching a student to ace a test by having them memorize the answers to one specific exam. They score perfectly—but only on that test. Give them a new one, and they crumble. That’s overfitting. In the world of machine learning, overfitting happens when a model learns the training data so well—noise, quirks, warts and […]
