Notice something important here: in the classification problem, the goal of the learning algorithm is to minimize the error with respect to the given inputs.

This section is the core of the article, mainly in four aspects, namely combat error's characteristics, classification and the position of the combat error and its criminal responsibility.

In this paper, firstly a technique for confusion class recognition based on classification error distribution is proposed to recognize confusion class sets existing in the pre-defined taxonomy.