voting

datasets

Create, visualise, and test fast and frugal decision 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 because they are easy to communicate, require very little information, and are
robust against overfitting.

Nathaniel Phillips

FFTrees

Generate, Visualise, and Compare Fast and Frugal Decision Trees

voting function

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

voting: Voting data set

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