K Fold Cross Validation
- K fold Cross Validation is used when the amount of data is so small that we can't get unseen dev data
- Steps:
- Divide the data in K parts
- For each iteration
- Use K-1 to train
- And the other part to validate
- Take the average of all iterations
- Common value of K = 10