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

Algorithms to treat imbalanced datasets. Imbalanced datasets usually damage
the performance of the classifiers. Thus, it is important to treat data before
applying a classifier algorithm. This package includes recent preprocessing algorithms
in the literature.

Ignacio Cord<c3><b3>n

imbalance

Preprocessing Algorithms for Imbalanced Datasets

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