Can I use LOOCV for large datasets?

Can I use Leave-One-Out Cross-Validation (LOOCV) for large datasets?

Yes, you can use LOOCV for large datasets, but it may be computationally expensive.

What are the drawbacks of using LOOCV with large datasets?

The main drawbacks include high computation time and potential overfitting due to the small training set size.

Are there any alternatives to LOOCV for large datasets?

Yes, alternatives include k-fold cross-validation and stratified sampling, which are more efficient.

How does k-fold cross-validation compare to LOOCV?

K-fold cross-validation is generally faster and provides a better estimate of model performance on large datasets.