On computational complexity of multiclass classification approach ECOC

Abstract

The multiclass classification approach known as ECOC (error correcting output codes) is considered. The method solves the multiclass classification problem by combining binary classification algorithms according to some binary matrix. The framework is considered where the columns of the mentioned matrix are selected from the given set. It is proved that the algorithmic problem of column selection optimizing the training error is NP complete.