Exam DP-100 topic 1 question 10 discussion

Usual choice is key word here and usual choice is K=5 or 10. So answer is B.

Answer should be A

I will go with B. The answer to the question is B. No. The recommendation to use k=3 is a common practice in k-fold cross-validation, but it may not necessarily satisfy the requirements in every case. It depends on the specific requirements of the task and the characteristics of the data sample. For example, if the data sample is small, using k=3 may not provide enough training data for the model to learn from, resulting in a high variance in the evaluation metric. In this case, a larger value of k may be more appropriate. On the other hand, if the data sample is very large, using k=3 may result in a low bias but high variance, in which case a smaller value of k may be more appropriate. Therefore, it's important to consider the specific requirements and characteristics of the task and data sample when choosing the value of k for k-fold cross-validation. In general, the recommendation to use k=3 is a good starting point, but it may not always be the best choice.

The usual choice for k in k-fold cross-validation, especially in the context of evaluating machine learning models, is typically k=5 or k=10

Default value k = 10

Usually we would choose k = 10

k-fold involves many more procedures, not only k configuration

I have no idea for this one, usual value = 10 default, and in designer you cannot change that, but you can add a partition and sample step to set K=3, so what is the question asking for???

Usually K = 5 or 10. So B is the correct answer.

Ok.. it says "Usual value choice" -- I guess then the answer is No... it should be 5 or 10.

I don't think anyone restricts you from selecting 3.

You can use as many splits as you want. It all depends on the data. Train/test/validate is basically 3 splits that are just swapped around. 3 is perfectly fine.

3 is not the usual value choice

k can absolutely be 3

answer is correct

answer is correct, the default is 10