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, A., Langford, J., & Zadrozny, B., 2008, <doi:10.1007/978-0-387-79361-0_1>), Weighted One-Vs-Rest (Beygelzimer, A., Dani, V., Hayes, T., Langford, J., & Zadrozny, B., 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: parallel
URL: https://github.com/david-cortes/costsensitive
License: BSD_2_clause + file LICENSE
RoxygenNote: 6.1.1
NeedsCompilation: yes
Packaged: 2019-07-28 09:51:28 UTC; david
Repository: CRAN
Date/Publication: 2019-07-28 10:00:02 UTC
Built: R 4.6.0; x86_64-apple-darwin20; 2026-04-26 15:22:31 UTC; unix
Archs: costsensitive.so.dSYM
