# Cost-Benefit Matrix

A Cost-Benefit Matrix is a symmetric matrix that defines the misclassification costs of a classification task.

**Context:**- 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.

**Counter-Example(s)****See:**Outlier Detection