The process of dividing a data set into a training, a validation, and an optimal test data set is called ________.
A) overfitting
B) oversampling
C) optional testing
D) data partitioning

Question

Quizplus · Accepted Answer

Data partitioning is the correct term for dividing a data set into separate parts for training, validation, and testing. This process is essential for evaluating the performance of machine learning models.

The Process of Dividing a Data Set into a Training