Why use cross validation?
Cross validation estimates performance more reliably by training and evaluating on multiple folds of the data.
- Reduces single split luck
- Useful for small data
- Common in model comparison
Why use cross validation?
Cross validation estimates performance more reliably by training and evaluating on multiple folds of the data.
Cross validation estimates performance more reliably by training and evaluating on multiple folds of the data.
Why use cross validation?