Preprocessing Algorithms for Imbalanced Datasets

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Documentation for package ‘imbalance’ version 1.0.2.1

• DESCRIPTION file.
• User guides, package vignettes and other documentation.
• Package NEWS.

Help Pages

banana	Binary banana dataset
banana_orig	Binary banana dataset
ecoli1	Imbalanced binary ecoli protein localization sites
glass0	Imbalanced binary glass identification
haberman	Haberman's survival data
imbalance	imabalance: A package to treat imbalanced datasets
imbalanceRatio	Compute imbalance ratio of a binary dataset
iris0	Imbalanced binary iris dataset
mwmote	Majority weighted minority oversampling technique for imbalance dataset learning
neater	Fitering of oversampled data based on non-cooperative game theory
newthyroid1	Imbalanced binary thyroid gland data
oversample	Wrapper that encapsulates a collection of algorithms to perform a class balancing preprocessing task for binary class datasets
pdfos	Probability density function estimation based oversampling
plotComparison	Plots comparison between the original and the new balanced dataset.
racog	Rapidly converging Gibbs algorithm.
rwo	Random walk oversampling
trainWrapper	Generic methods to train classifiers
wisconsin	Imbalanced binary breast cancer Wisconsin dataset
wracog	Wrapper for rapidly converging Gibbs algorithm.
yeast4	Imbalanced binary yeast protein localization sites