The Evaluation of Enterprise Credit Using Multi-category Hierarchical SVM

Multi-category Support Vector Machine (SVM) is an on-going issue on classification. This paper applies Hierarchical SVM (H-SVM) which is one algorithm of Multi-category SVM to the credit rating, implements the processes of machine learning and data evaluation to the credit data provided by bank and compares the results of classification in different arguments. The comparison to original data proves that, the H-SVM of Multi-category classification is a viable method in credit-rating field in a certain extent.