Question

Which of the following statements is correct?

a. Stability relates to how often we make errors and what kind of errors we make
b. A good model (of any type) will have both accuracy and stability
c. Accuracy relates to whether the prediction performance in the training set and test set are similar
d. We only require stability and accuracy for linear regression models, not logistic regression models

Answer 1

A good model will have both accuracy and stability.

Step-by-step explanation:

b. A good model (of any type) will have both accuracy and stability.