lr.pred

formula

data.train

data.test

An optional logistic regression model created from glm(family = "binomial")

lr.model

thresholds


Calculates predictions from logistic regression


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.

lr.pred: Calculates predictions from logistic regression

Description

Usage

Arguments