imbalance: imabalance: A package to treat imbalanced datasets

In imbalance: Preprocessing Algorithms for Imbalanced Datasets

Description

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

Oversampling

Methods to oversample the minority class: racog, wracog, rwo, pdfos, mwmote

Evaluation

Method to measure imbalance ratio in a given two-class dataset: imbalanceRatio.

Method to visually evaluate algorithms: plotComparison.

Filtering

Methods to filter oversampled instances neater.

imbalance documentation built on April 14, 2020, 6:02 p.m.