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
Repository: https://david-cortes.r-universe.dev
Date/Publication: 2025-05-09 18:16:56 UTC
RemoteUrl: https://github.com/david-cortes/costsensitive
RemoteRef: HEAD
RemoteSha: 0a3c4411fb7ba931509f2119319748b210abd162
NeedsCompilation: yes
Packaged: 2026-07-03 08:15:22 UTC; root