circle_example

A random dataset with two classes one of which is inside a circle. Used for
examples to show how the different methods handles borders.

datasets

A dataset with an uneven number of cases in each class is
said to be unbalanced. Many models produce a subpar performance on
unbalanced datasets. A dataset can be balanced by increasing the
number of minority cases using SMOTE 2011 <arXiv:1106.1813>,
BorderlineSMOTE 2005 <doi:10.1007/11538059_91> and ADASYN 2008
<https://ieeexplore.ieee.org/document/4633969>. Or by decreasing the
number of majority cases using NearMiss 2003
<https://www.site.uottawa.ca/~nat/Workshop2003/jzhang.pdf> or Tomek
link removal 1976 <https://ieeexplore.ieee.org/document/4309452>.

Emil Hvitfeldt

themis

Extra Recipes Steps for Dealing with Unbalanced Data

circle_example function

A data frame with 200 rows and 4 variables:<dl>
<dt>x</dt>
<dd>Numeric.</dd><dt>y</dt>
<dd>Numeric.</dd><dt>class</dt>
<dd>Factor, values "Circle" and "Rest".</dd><dt>id</dt>
<dd>character, ID variable.</dd>
</dl>

Format

Synthetic Dataset With a Circle — circle_example

A data frame with 200 rows and 4 variables:<dl>
<dt>x</dt>
<dd>Numeric.</dd>

<dt>y</dt>
<dd>Numeric.</dd>

<dt>class</dt>
<dd>Factor, values "Circle" and "Rest".</dd>

<dt>id</dt>
<dd>character, ID variable.</dd>


</dl>

circle_example: Synthetic Dataset With a Circle

Description

Usage

Arguments

Format