Skip to main content
onepocketML

Machine Learning · Member lesson

Splitting Data in Practice: Cross-Validation

One split gives a noisy score. Cross-validation lets every row take a turn being tested, and the spread of the fold scores tells you how much to trust the average.

Keep your learning going.

The Machine Learning course includes every chapter and its published course materials. Other courses are purchased separately.

Click here and buy now Already have access? Sign inBrowse the free previews
Splitting Data in Practice: Cross-Validation | OnePocketML