In regular classification the aim is to minimize the misclassification rate and thus all types of misclassification errors are deemed equally severe. A more general setting is cost-sensitive classification where the costs caused by different kinds of errors are not assumed to be equal and the objective is to minimize the expected costs.
Cost-Sensitive classification broadly falls into 2 categories:
- Class-dependent costs
- Example-dependent misclassification costs