What is the difference between cross-validation and grid search?
Cross-validation is when you reserve part of your data to use in evaluating your model. There are different cross-validation methods. The simplest conceptually is to just take 70% (just making up a number here, it doesn’t have to be 70%) of your data and use that for training, and then use the remaining 30% of … Read more