What is overfitting in AI and how can it be prevented?

What is overfitting in AI and how can it be prevented?

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

What are some common signs that a model is overfitting?

Common signs include high accuracy on training data but poor performance on validation or test data.

How can I prevent overfitting in my machine learning model?

You can prevent overfitting by using techniques like cross-validation, regularization, and pruning.

What is regularization and how does it help?

Regularization adds a penalty for larger coefficients in the model, helping to reduce complexity and prevent overfitting.