imabalace

imabalace-package

Focused on binary class datasets, the <code>imbalance</code> package provides
methods to generate synthetic examples and achieve balance between the
minority and majority classes in dataset distributions

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

imabalace function

Methods to oversample the minority class: <code><a rd-options="" href="/link/racog?package=imbalance&version=1.0.0" data-mini-rdoc="imbalance::racog">racog</a></code>,
 <code><a rd-options="" href="/link/wracog?package=imbalance&version=1.0.0" data-mini-rdoc="imbalance::wracog">wracog</a></code>, <code><a rd-options="" href="/link/rwo?package=imbalance&version=1.0.0" data-mini-rdoc="imbalance::rwo">rwo</a></code>, <code><a rd-options="" href="/link/pdfos?package=imbalance&version=1.0.0" data-mini-rdoc="imbalance::pdfos">pdfos</a></code>,
 <code><a rd-options="" href="/link/mwmote?package=imbalance&version=1.0.0" data-mini-rdoc="imbalance::mwmote">mwmote</a></code>

Oversampling

Method to measure imbalance ratio in a given two-class dataset:
 <code><a rd-options="" href="/link/imbalanceRatio?package=imbalance&version=1.0.0" data-mini-rdoc="imbalance::imbalanceRatio">imbalanceRatio</a></code>.
Method to visually evaluate algorithms: <code><a rd-options="" href="/link/plotComparison?package=imbalance&version=1.0.0" data-mini-rdoc="imbalance::plotComparison">plotComparison</a></code>.

Evaluation

Methods to filter oversampled instances <code><a rd-options="" href="/link/neater?package=imbalance&version=1.0.0" data-mini-rdoc="imbalance::neater">neater</a></code>.

imabalace: imabalance: A package to treat imbalanced datasets

Description

Arguments

Oversampling

Evaluation

Filtering