John Ioannidis (1)

• The Cardinal Sin of Data Mining and Data Science: Overfitting - Jun 14, 2014.
  
  Overfitting leads to public losing trust in research findings, many of which turn out to be false. We examine some famous examples, "the decline effect", Miss America age, and suggest approaches for avoiding overfitting.

  Dean Abbott, John Ioannidis, Kirk D. Borne, Overfitting, S&P 500