Definition
A machine learning approach that incorporates and minimizes the different, often asymmetric, costs associated with various types of prediction errors (misclassifications).
In short: A machine learning approach that incorporates and minimizes the different, often asymmetric, costs associated with various types of prediction errors (misclassifications).