# Preprocessing Algorithms for Imbalanced Datasets

## Documentation for package ‘imbalance’ version 1.0.0

- DESCRIPTION file.
- User guides, package vignettes and other documentation.

## Help Pages

imabalace-package | imabalance: A package to treat imbalanced datasets
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
imabalace | 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