DESCRIPTION

Package: costsensitive
Type: Package
Title: Cost-Sensitive Multi-Class Classification
Version: 0.1.2.10
Date: 2019-07-28
Author: David Cortes
Maintainer: David Cortes <david.cortes.rivera@gmail.com>
Description: Reduction-based techniques for cost-sensitive multi-class classification, in which each observation has a different cost for classifying it into one class, and the goal is to predict the class with the minimum expected cost for each new observation.
	Implements Weighted All-Pairs (Beygelzimer, Langford, & Zadrozny (2008) <doi:10.1007/978-0-387-79361-0_1>), Weighted One-Vs-Rest (Beygelzimer,Dani, Hayes, Langford, Zadrozny, (2005) <https://dl.acm.org/citation.cfm?id=1102358>) and Regression One-Vs-Rest.
	Works with arbitrary classifiers taking observation weights, or with regressors. Also implements cost-proportionate rejection sampling for working with classifiers
	that don't accept observation weights.
Suggests: caret, parallel
URL: https://github.com/david-cortes/costsensitive
License: BSD_2_clause + file LICENSE
RoxygenNote: 6.1.1