forestfires

A dataset of forest fire statistics.

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

forestfires function

A data frame containing 517 rows and 13 columns<dl class="dl-horizontal">
 <dt>X</dt><dd>Integer -x-axis spatial coordinate within the Montesinho park map: 1 to 9</dd>
 <dt>Y</dt><dd>Integer - y-axis spatial coordinate within the Montesinho park map: 2 to 9</dd>
 <dt>month</dt><dd>Factor - month of the year: "jan" to "dec"</dd>
 <dt>day</dt><dd>Factor -day of the week: "mon" to "sun"</dd>
 <dt>FFMC</dt><dd>Numeric -FFMC index from the FWI system: 18.7 to 96.20</dd>
 <dt>DMC</dt><dd>Numeric - DMC index from the FWI system: 1.1 to 291.3</dd>
 <dt>DC</dt><dd>Numeric - DC index from the FWI system: 7.9 to 860.6</dd>
 <dt>ISI</dt><dd>Numeric - ISI index from the FWI system: 0.0 to 56.10</dd>
 <dt>temp</dt><dd>Numeric - temperature in Celsius degrees: 2.2 to 33.30</dd>
 <dt>RH</dt><dd>Numeric - relative humidity in percent: 15.0 to 100</dd>
 <dt>wind</dt><dd>Numeric - wind speed in km/h: 0.40 to 9.40</dd>
 <dt>rain</dt><dd>Numeric - outside rain in mm/m2 : 0.0 to 6.4</dd>
 <dt>area</dt><dd>Numeric - the burned area of the forest (in ha): 0.00 to 1090.84</dd>...
</dl>

forestfires: forestfires

Description

Usage

Arguments

Format