Name: Cross Validation - Leave-one-out-cross-validation (LOOCV)
Uploaded: 2022-06-13T00:00:00Z
Description: Holdout sets are a great start to model validation. However, using a single train and test set if often not enough. Cross-validation is considered the gold standard when it comes to validating model performance and is almost always used when tuning model hyper-parameters. This chapter focuses on performing cross-validation to validate model performance.