income

Census Data used to predict who has an income greater than 50K

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

income function

A data frame containing 32561 rows and 15 columns<dl class="dl-horizontal">
 <dt>age</dt><dd>Numeric</dd>
 <dt>workclass</dt><dd>Factor</dd>
 <dt>fnlwgt</dt><dd>Numeric</dd>
 <dt>education</dt><dd>Factor</dd>
 <dt>education.num</dt><dd>Numeric</dd>
 <dt>marital.status</dt><dd>Factor</dd>
 <dt>occupation</dt><dd>Factor</dd>
 <dt>relationship</dt><dd>Factor</dd>
 <dt>race</dt><dd>Factor</dd>
 <dt>sex</dt><dd>Factor</dd>
 <dt>capital.gain</dt><dd>Numeric</dd>
 <dt>capital.loss</dt><dd>Numeric</dd>
 <dt>hours.per.week</dt><dd>Numeric</dd>
 <dt>native.country</dt><dd>Factor</dd>
 <dt>income.gt50</dt><dd>Factor - 1 = &gt;= 50K, 0 = &lt; 50K</dd>...
</dl>

income: Income dataset

Description

Usage

Arguments

Format