wisconsin

Binary class dataset containing traits about patients with cancer. Original dataset was
obtained from the University of Wisconsin Hospitals, Madison from Dr. William H. Wolberg.

datasets

Class imbalance usually damages the performance of classifiers. Thus, it is
important to treat data before applying a classifier algorithm. This package
includes recent resampling algorithms in the literature: (Barua et al. 2014)
<doi:10.1109/tkde.2012.232>; (Das et al. 2015) <doi:10.1109/tkde.2014.2324567>,
(Zhang et al. 2014) <doi:10.1016/j.inffus.2013.12.003>; (Gao et al. 2014)
<doi:10.1016/j.neucom.2014.02.006>; (Almogahed et al. 2014)
<doi:10.1007/s00500-014-1484-5>. It also includes an useful interface to
perform oversampling.

Ignacio Cord<c3><b3>n

imbalance

Preprocessing Algorithms for Imbalanced Datasets

Salvador Garc<c3><ad>a

Alberto Fern<c3><a1>ndez

Francisco Herrera

wisconsin function

A data frame with 683 instances, 239 of which belong to positive class,
and 10 variables:<dl class="dl-horizontal">
 <dt>ClumpThickness</dt><dd>Discrete attribute.</dd>
 <dt>CellSize</dt><dd>Discrete attribute.</dd>
 <dt>CellShape</dt><dd>Discrete attribute.</dd>
 <dt>MarginalAdhesion</dt><dd>Discrete attribute.</dd>
 <dt>EpithelialSize</dt><dd>Discrete attribute.</dd>
 <dt>BareNuclei</dt><dd>Discrete attribute.</dd>
 <dt>BlandChromatin</dt><dd>Disrete attribute.</dd>
 <dt>NormalNucleoli</dt><dd>Discrete attribute.</dd>
 <dt>Mitoses</dt><dd>Discrete attribute.</dd>
 <dt>Class</dt><dd>Two possible classes: positive (cancer) and negative (not cancer).</dd>
</dl>

Format

Imbalanced binary breast cancer Wisconsin dataset — wisconsin

A data frame with 683 instances, 239 of which belong to positive class,
and 10 variables:<dl class='dl-horizontal'>
 <dt>ClumpThickness</dt><dd>Discrete attribute.</dd>
 <dt>CellSize</dt><dd>Discrete attribute.</dd>
 <dt>CellShape</dt><dd>Discrete attribute.</dd>
 <dt>MarginalAdhesion</dt><dd>Discrete attribute.</dd>
 <dt>EpithelialSize</dt><dd>Discrete attribute.</dd>
 <dt>BareNuclei</dt><dd>Discrete attribute.</dd>
 <dt>BlandChromatin</dt><dd>Disrete attribute.</dd>
 <dt>NormalNucleoli</dt><dd>Discrete attribute.</dd>
 <dt>Mitoses</dt><dd>Discrete attribute.</dd>
 <dt>Class</dt><dd>Two possible classes: positive (cancer) and negative (not cancer).</dd>
</dl>

wisconsin: Imbalanced binary breast cancer Wisconsin dataset

Description

Usage

Arguments

Format

See Also