What role does data partitioning play in machine learning?

A$.$

It complicates the training process by dividing the data randomly.

B$.$

It helps in validating the model by using separate data for training and testing.

C$.$

It is used to increase the amount of data available for training.

D$.$

It is primarily used to make the dataset smaller and more manageable.