What is generalization in machine learning?

What is generalization in machine learning?

Generalization in machine learning refers to the model's ability to perform well on unseen data, not just the training data.

Why is generalization important?

Generalization is crucial because it ensures that the model can make accurate predictions on new, real-world data.

How can I improve generalization in my models?

You can improve generalization by using techniques like cross-validation, regularization, and ensuring a diverse training dataset.

What is overfitting and how does it relate to generalization?

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