Building cost-sensitive decision trees for medical applications
Alberto Freitas · AI Communications · 2011
This thesis presents strategies for cost-sensitive learning. We have developed an algorithm for decision tree induction that considers various types of costs. The main ones were attribute costs and misclassification costs. Other costs included, for i