blood

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

blood function

A data frame containing 748 rows and 5 columns<dl class="dl-horizontal">
 <dt>recency</dt><dd>Months since last donation</dd>
 <dt>frequency</dt><dd>Total number of donations</dd>
 <dt>total</dt><dd>Total blood donated in c.c.</dd>
 <dt>time</dt><dd>Months since first donation</dd>
 <dt>donation.crit</dt><dd>Did he/she donated blood in March 2007?</dd>
 ...
</dl>

Format

Blood donation dataset — blood

A data frame containing 748 rows and 5 columns<dl class='dl-horizontal'>
 <dt>recency</dt><dd>Months since last donation</dd>
 <dt>frequency</dt><dd>Total number of donations</dd>
 <dt>total</dt><dd>Total blood donated in c.c.</dd>
 <dt>time</dt><dd>Months since first donation</dd>
 <dt>donation.crit</dt><dd>Did he/she donated blood in March 2007?</dd>
 ...
</dl>

Blood donation dataset

blood: Blood donation dataset

Description

Usage

Arguments

Format