Ben Chuanlong Du's Blog

It is never too late to learn.

Double Dipping in Machine Learning

Things on this page are fragmentary and immature notes/thoughts of the author. Please read with your own judgement!

Double dipping is a term for overfitting a model through both building and evaluating the model on the same data-set, yielding inappropriately high statistical significance and circular logic.

References

Comments