- It can be an Input to a Classification Problem (and allow predictive modelers to describe the costs and the benefits associated with each possible prediction).
- It can be an Identity Matrix (optimizes for Accuracy).
- When the cost-benefit matrix has new non-default values assigned, the model optimizes the net benefit (profit) associated with each prediction.
- It can be used to Optimize Return on Investment.
- See: Outlier Detection