Top 10 Types of Cross-Validation in Machine Learning

Top 10 Types of Cross-Validation in Machine Learning is a short video to discuss various types of cross-validation techniques in machine learning and how they are different.

The following types of cross-validations are discussed in this video:

  1. Leave-one-out cross-validation

2. Leave-p-out cross-validation

3. K-fold cross-validation

4. Stratified k-fold cross-validation

5. Holdout Cross-Validation

6. Repeated Random Sub-sampling Cross-Validation

7. Exhaustive cross-validation

8. Non-exhaustive Cross-Validation

9. Nested cross-validation

10. Time Series cross-validation

Top 10 Types of Cross-Validation in Machine Learning

Happy Learning !!

Leave a Reply

%d bloggers like this: