Which of the following is a disadvantage of non-parametric machine learning algorithms?
A. Capable of fitting a large number of functional forms (Flexibility)
B. Very fast to learn (Speed)
C. More of a risk to overfit the training data (Overfitting)
D. They do not require much training data
Answer:C
Which of the following is a disadvantage of non-parametric machine learning algorithms?
A. Capable of fitting a large number of functional forms (Flexibility) B. Very fast to learn (Speed) C. More of a risk to overfit the training data (Overfitting) D. They do not require much training data