The conversation between human and AI assistant.
What is meant by overfitting?
Can you explain to me what is meant by overfitting in machine learning?
Sure. Overfitting is a common problem in machine learning where a model is trained too well on the training dataset, to the point where it starts memorizing the noise and inaccuracies in the data. This results in a model that performs poorly on new, unseen data.