A Corporate Credit Rating Model Using Support Vector Domain Combined with Fuzzy Clustering Algorithm

Table 3

Experimental results of the proposed method.

Data set	Korea data set		China data set
No.	Train (%)	Valid (%)	Train (%)	Valid (%)
1	68.26	67.14	67.29	66.17
2	80.01^*	71.23	68.35	67.13
3	73.21	70.62	71.56	71.01
4	75.89	72.37	75.24	72.36
5	76.17	74.23	84.17^*	83.91^*
6	75.28	75.01	80.02	79.86
7	78.29	76.23^*	76.64	74.39
8	77.29	74.17	72.17	71.89
9	75.23	71.88	83.27	80.09
10	70.16	68.34	72.16	70.16
Avg.	74.98	72.12	75.09	73.70

∗The best performance for each data set.