Multi-borders classification
This work addresses the challenge of choosing optimal multi-class classification strategies for practitioners, but it is incremental as it builds on existing binary classification methods.
The authors tackled the problem of selecting the best method for generalizing binary classification to multi-class classification, which grows exponentially with class labels, by presenting classification software that uses a recursive control language to specify the partitioning.
The number of possible methods of generalizing binary classification to multi-class classification increases exponentially with the number of class labels. Often, the best method of doing so will be highly problem dependent. Here we present classification software in which the partitioning of multi-class classification problems into binary classification problems is specified using a recursive control language.