classtable

prediction.v

A binary vector of criterion (true) values

criterion.v


Calculates classification statistics from binary prediction and truth vectors


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.

classtable: Calculates classification statistics from binary prediction and truth vectors

Description

Usage

Arguments