In a regression-based QSAR model, what should be the difference between the values of R2 and leave-one-out cross-validated Q2?
R^2 is calculated the usual way. The leave-one-out cross validated value is calculated on the basis of the cross validation. They measure different things. See the notes below for a discussion of the differences. Best, David
Dear Prof. David,
Thanking you very much for your suggestion. But my question was different! I just want to know what should be the difference between the R2 and Q2 values. As I have seen that the "Difference between R2 and Q2 should not be more than 0.3" [International Journal of Drug Design and Discovery, 2011, 2 (3) 511-519]. I just want to verify whether the statement is correct. Thanks.
Dear Prof. Dijkstra,
Thanking you so much for your explanation. May I have your E-mail id? So that I can send you the article of International Journal of Drug Design and Discovery, 2011, 2 (3) 511-519. Thanks.
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