Kizspy | Question: 15
(Choose 1 answer)
What is the purpose of splitting a dataset into training and test sets in machine learning?
A. To increase the size of the training set for better model performance
B. To reduce overfitting by evaluating the model on unseen data
C. To improve the computational efficiency of model training
D. To introduce randomness and diversity in the training process
