ExamGecko
Question list
Search
Search

Question 52 - DSA-C02 discussion

Report
Export

Which of the following cross validation versions is suitable quicker cross-validation for very large datasets with hundreds of thousands of samples?

A.
k-fold cross-validation
Answers
A.
k-fold cross-validation
B.
Leave-one-out cross-validation
Answers
B.
Leave-one-out cross-validation
C.
Holdout method
Answers
C.
Holdout method
D.
All of the above
Answers
D.
All of the above
Suggested answer: C

Explanation:

Holdout cross-validation method is suitable for very large dataset because it is the simplest and quicker to compute version of cross-validation.

Holdout method

In this method, the dataset is divided into two sets namely the training and the test set with the basic property that the training set is bigger than the test set. Later, the model is trained on the training dataset and evaluated using the test dataset.

asked 23/09/2024
Kevin Lizano
37 questions
User
Your answer:
0 comments
Sorted by

Leave a comment first