What is Overfitting?
Overfitting means building a model that matches the training data “too closely.” The model ends up training on noise rather than signal.
— Usually caused by a model that is too complex
— Overfit model does not generalize
— Low bias/high variance models
What are Bias and Variance?
Bias: The difference b/w the predicted values…