Maguedong Djoumessi, Celestine Periale(Universitat Politècnica de València, 2014-11-24)
[EN] 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 ...
We describe a systematic approach called reframing, defined as the process of preparing a machine learning model (e.g., a classifier) to perform well over a range of operating contexts. One way to achieve this is by ...