In situations where two competing models have essentially the same predictive power (as
determined by an F-test), it is standard procedure to use the model with the greater number of
parameters.

Question

Quizplus · Accepted Answer

When two models have essentially the same predictive power, the principle of parsimony suggests choosing the model with fewer parameters to avoid overfitting and ensure simplicity.

In Situations Where Two Competing Models Have Essentially the Same