Dean Abbott (2)

• 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

• 3 Ways to Test the Accuracy of Your Predictive Models - Feb 8, 2014.
  
  3 different methods for testing accuracy of predictive models from 3 leading analytics experts - Karl Rexer, John Elder, and Dean Abbott explain using lift charts, randomization testing, and bootstrap sampling.

  Bootstrap sampling, Dean Abbott, Decile tables, John Elder, Karl Rexer, Lift charts, Predictive Models, Randomization, Target shuffling