What is overfitting in machine learning?

What is overfitting in machine learning?

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

How can I identify if my model is overfitting?

You can identify overfitting by comparing the performance of your model on training data versus validation data. A large gap indicates overfitting.

What are some techniques to prevent overfitting?

Common techniques include using cross-validation, pruning, regularization, and simplifying the model.

Can overfitting happen with small datasets?

Yes, small datasets are more prone to overfitting because the model may learn specific patterns that do not generalize.