Lopez de Prado, Marcos - 2020
When used incorrectly, the risk of machine learning (ML) overfitting is extremely high. However, ML counts with sophisticated methods to prevent: (a) train set overfitting, and (b) test set overfitting.Thus, the popular belief that ML overfits is false. A more accurate statement would be that:...