Multiple Choice
Identify a difference between the model evaluation methods of hold-out variation and N-fold cross validation.
A) Unlike the N-fold cross validation method, the hold-out variation method requires high amounts of training time and computer processing power.
B) Unlike in the hold-out variation method, the N-fold cross validation method randomly selects one set of two-thirds of data to build the regression model.
C) Unlike the N-fold cross validation method, the hold-out variation method divides data into many smaller subsets.
D) Unlike the hold-out sample method, the N-fold cross validation method is less sensitive to variation in training and validation datasets selection.
Correct Answer:

Verified
Correct Answer:
Verified
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