Why Do You Need to Split a Machine Learning Dataset

Multiple Choice

Why do you need to split a machine learning dataset into training data and test data?

A) So you can try two different sets of features
B) To make sure your model is generalized for more than just the training data
C) To allow you to create unit tests in your code
D) So you can use one dataset for a wide model and one for a deep model