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 3 variables:<dl class="dl-horizontal">
<dt>x</dt><dd>Numeric.</dd>
<dt>y</dt><dd>Numeric.</dd>
<dt>class</dt><dd>Factor, values "Circle" and "Rest".</dd>
</dl>

Format

Synthetic Dataset with a circle — circle_example

A data frame with 200 rows and 3 variables:<dl class='dl-horizontal'>
<dt>x</dt><dd>Numeric.</dd>
<dt>y</dt><dd>Numeric.</dd>
<dt>class</dt><dd>Factor, values "Circle" and "Rest".</dd>
</dl>

circle_example: Synthetic Dataset with a circle

Description

Usage

Arguments

Format