voting

datasets

Create, visualize, and test fast-and-frugal decision trees (FFTs). FFTs are very simple decision trees for
binary classification problems. FFTs can be preferable to more complex algorithms because they are easy to communicate,
require very little information, and are robust against overfitting.

Nathaniel Phillips

FFTrees

Generate, Visualise, and Evaluate Fast-and-Frugal Decision Trees

Hansjoerg Neth

Jan Woike

Wolfgang Gaissmaer

voting function

<p>A data frame containing 435 rows and 16 columns</p>

Format

Voting data set — voting

Voting data set

voting: Voting data set

Description

Usage

Arguments

Format