hr.v

far.v

Contains several functions that allow users
to create, visualize, and test Fast and Frugal Trees (FFTs). FFts are very simple decision trees for
classifying cases (i.e.; breast cancer patients) into one of two classes (e.g.;
no cancer vs. true cancer) based on a small number of cues (e.g.; test results). FFTs can be preferable to more complex algorithms (such as
logistic regression) because they are easy to communicate and implement, and are
robust against noisy data.

auc: Calculates AUC (Area under the Curve)

Description

Usage

Arguments