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 tell if my model is overfitting?

You can check the performance on a validation set. If the training accuracy is high but validation accuracy is low, it's likely overfitting.

What are some techniques to prevent overfitting?

Common techniques include using more training data, applying regularization, and employing dropout in neural networks.

Can you explain regularization?

Regularization adds a penalty to the loss function to discourage overly complex models, helping to prevent overfitting.