wine

<p>Chemical and tasting data from wines in North Portugal.</p>

datasets

Create, visualize, and test fast-and-frugal decision trees (FFTs) using the algorithms and methods described in Phillips, Neth, Woike & Gaissmaier (2017).
FFTs are simple and transparent decision trees for solving binary classification problems.
FFTs can be preferable to more complex algorithms because they require very little information, are easy to communicate, and are robust against overfitting.

Hansjoerg Neth

FFTrees

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

Nathaniel Phillips

Jan Woike

Wolfgang Gaissmaier

wine function

<p>A data frame containing 6497 rows and 13 columns.</p>

Format

Wine tasting data — wine

Wine tasting data

wine: Wine tasting data

Description

Usage

Arguments

Format

See Also