Improvement of Performance in Multiclass Problems by Using Biclassification Based on Error-Correcting Output Code

摘要

Error-correcting output coding (ECOC) is a widely used multicategory classification algorithm that decomposes multiclass problems into a set of binary classification problems. In this paper, we propose a new method based on a bi-classification strategy, consisting of one-vs-one and ECOC classification. Also we introduce methods to improve a standard ECOC. The proposed method is compared to other algorithms by performing experiments with gene expression datasets.