fftrees_apply

mydata

newdata

<p>logical. What should be predicted if all cue values in tree are NA? Default is FALSE</p>

allNA.pred

<p>Applies a fast-and-frugal tree to a dataset and generates several accuracy statistics</p>

internal

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

fftrees_apply function

Applies a fast-and-frugal tree to a dataset and generates several accuracy statistics — fftrees_apply

Applies a fast-and-frugal tree to a dataset and generates several accuracy statistics

fftrees_apply: Applies a fast-and-frugal tree to a dataset and generates several accuracy statistics

Description

Usage

Arguments

Value