In his Top 10 Data Mining Mistakes John Elder shares lessons learned from 20 years of data science consulting experience. Avoiding these mistakes are cornerstones to any successful analytics project.
In this paper about Mistake #5 you will learn how easy it is to accept leaks from the future in your modeling results and the importance of scrutinizing any input variable that works too well.