Neth, H., Czienskowski, U., Schooler, L. J., & Gluck, K. (2013). Making robust classification decisions: Constructing and evaluating Fast and Frugal Trees (FFTs). In M. Knauff, M. Pauen, N. Sebanz, & I. Wachsmuth (Eds.), Proceedings of the 35th Annual Meeting of the Cognitive Science Society (pp. 43–44). Austin, TX: Cognitive Science Society.
Fast and Frugal Trees (FFTs) are a quintessential family of simple heuristics that allow effective and efficient binary clas- sification decisions and often perform remarkably well when compared to more complex methods. This half-day tutorial will familiarize participants with examples of FFTs and elu- cidate the theoretical link between FFTs and signal detection theory (SDT). A range of presentations, practical exercises and interactive tools will enable participants to construct and eval- uate FFTs for different data sets.