classtable

prediction.v

A binary vector of criterion (true) values

criterion.v


Calculates several classification statistics from binary prediction and criterion (e.g.; truth) vectors


Contains several functions that allow you
to create, visualise, and test Fast and Frugal Trees (FFTrees). FFTrees 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). FFTrees 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 several classification statistics from binary prediction and criterion (e.g.; truth) vectors

Description

Usage

Arguments