  Recently, Winter and Hahn [1] commented on our work on identifying subtypes
of major psychiatry disorders (MPDs) based on neurobiological features using
machine learning [2]. They questioned the generalizability of our methods and
the statistical significance, stability, and overfitting of the results, and
proposed a pipeline for disease subtyping. We appreciate their earnest
consideration of our work, however, we need to point out their misconceptions
of basic machine-learning concepts and delineate some key issues involved.
