Practice Leave-one-out Cross-validation (loocv) (12.3.D) - Model Evaluation and Validation

Practice: Leave-One-Out Cross-Validation (LOOCV)

Lesson 12.3.DModel Evaluation and Validation

Practise this section

9 questions

Flashcard drill
3 cards from this section. Quick, good the night before a test.
Exercise
6 questions · about 4 min · pass mark 70%. Hints available.
Sign up to start the exercise
Quiz
3 questions · about 2 min · pass mark 70%. Hints available.
Sign up to start the quiz

6 sample questions

Question 1.
What does LOOCV stand for?
Show hintHide hint
Think about what each point in the dataset represents in this technique.
Question 2.
How many iterations does LOOCV perform on a dataset of 5 points?
Show hintHide hint
Each point gets a turn as the test set.
3Question 3.
What does LOOCV stand for?
- Leave-One-Out Cross-Validation
- Last-One-Out Cross-Validation
- Leave-Some-Out Cross-Validation
Show hintHide hint
Think about what it means to leave one out!
4Question 4.
LOOCV has high computational costs compared to k-fold cross-validation.
- True
- False
Show hintHide hint
Consider how many times the model is trained compared to k-fold.
Question 5.
A company has collected 30 samples of customer data. If they wish to use LOOCV to evaluate their predictive model, calculate how many times the model needs to be trained.
Show hintHide hint
Remember, LOOCV trains on all but one sample each time.
Question 6.
Discuss the implications of using LOOCV for a dataset with 10,000 samples in terms of time and computational resources.
Show hintHide hint
Think about resource allocation and the cost-effectiveness of model validation.

5 more questions in this section. Enroll free to practise them all.