We then discuss the effectiveness of split and complement methods. Dummy vectorization is a method for separating different data using binary values in varying dimensions. However, it does not assess the similarity between data points. On the other hand, data splitting with a delimiter allows the evaluation of data similarity because common elements are represented in the same dimension, although the split may compromise data separation. The optimal balance between these two is considered to be the first split.