no code implementations • 30 May 2013 • Celestine Periale Maguedong-Djoumessi, José Hernández-Orallo
Many solutions to cost-sensitive classification (and regression) rely on some or all of the following assumptions: we have complete knowledge about the cost context at training time, we can easily re-train whenever the cost context changes, and we have technique-specific methods (such as cost-sensitive decision trees) that can take advantage of that information.
