What causes overfitting in AI models?

What causes overfitting in AI models?

Overfitting occurs when a model learns the training data too well, capturing noise instead of the underlying pattern.

Can you give me some examples of overfitting?

Sure! An example is a model that performs well on training data but poorly on unseen data, like memorizing answers.

How can we prevent overfitting?

Preventing overfitting can be done through techniques like cross-validation, regularization, and using simpler models.

Is overfitting more common in certain types of models?

Yes, complex models like deep neural networks are more prone to overfitting, especially with limited data.