Noticed an error in the final exam question for the course "Machine Learning 101". The question is as follows:

k-fold cross validation creates a more consistent out-of-sample accuracy, where the splits are not necessarily distinct
True
False

I selected the option"True", but it was marked as not correct.When I went through the Model Evaluation video(Module 3) for the course, this particular topic was explained on slide 9 and according to the video , the correct answer is "True".