I trained my model using different regression techniques, and I'm not sure which model to choose based on the learning curve.

1) Should I choose Lasso, since train and CV converge at the end 2) Should I choose Gradient Boosting since train and CV converge in the middle, and achieves a lower RMSE score than Lasso

Learning Curve: RMSE Score vs Number of Samples


1 Answer 1


You should go for LightGBM which has the lowest training and cross validation RMSE. By the way, score is a bad name for RMSE because you would expect a higher score to mean that your model is better but here the opposite is true.


Your Answer

By clicking “Post Your Answer”, you agree to our terms of service and acknowledge that you have read and understand our privacy policy and code of conduct.

Not the answer you're looking for? Browse other questions tagged or ask your own question.