What is the role of a test set in machine learning?

What is the role of a test set in machine learning?

The test set is used to evaluate the performance of a machine learning model on unseen data.

Why is it important to have a separate test set?

A separate test set helps to ensure that the model generalizes well and isn't just memorizing the training data.

How do you typically split data into training and test sets?

Commonly, data is split into 70-80% for training and 20-30% for testing, but it can vary based on the dataset size.

What happens if you don't use a test set?

Without a test set, you risk overfitting, where the model performs well on training data but poorly on new data.