RomeroBarata/bimba: Sampling Algorithms for Two-Class Imbalanced Data Sets
Version 0.0.0.9000

Sampling algorithms to aid classifiers in learning from two-class imbalanced data sets. Over-sampling, under-sampling, and hybrid algorithms are included. In addition, sampling algorithms that are composed of a sequence of already existing algorithms can be easily created.

Getting started

Package details

Maintainer
LicenseMIT + file LICENSE
Version0.0.0.9000
URL https://github.com/RomeroBarata/bimba
Package repositoryView on GitHub
Installation Install the latest version of this package by entering the following in R:
install.packages("devtools")
library(devtools)
install_github("RomeroBarata/bimba")
RomeroBarata/bimba documentation built on Jan. 14, 2018, 5:14 a.m.