dalpozz/warping: Probability warping and calibration with undersampling

The package detect the condition under which undersampling is suppose to provide a better ranking. The posterior probability of a classifier is calibrated to account for the change in class prior due to undersampling.

Getting started

Package details

AuthorAndrea Dal Pozzolo, Olivier Caelen and Gianluca Bontempi
MaintainerAndrea Dal Pozzolo <adalpozz@ulb.ac.be>
LicenseGPL (>= 3)
Version1.0
URL http://mlg.ulb.ac.be
Package repositoryView on GitHub
Installation Install the latest version of this package by entering the following in R:
install.packages("remotes")
remotes::install_github("dalpozz/warping")
dalpozz/warping documentation built on May 14, 2019, 3:32 p.m.