Credit Risk Evaluation with a Least Squares Fuzzy Support Vector Machines Classifier

Table 2

Computational results of credit risk evaluation using LS-FSVM.

Experiment number	Type I (%)	Type II (%)	Total (%)
1	81.56	93.81	88.54
2	86.98	95.14	92.53
3	82.02	91.84	88.49
4	79.81	98.36	93.53
5	87.77	94.03	92.24
6	81.56	96.85	92.38
7	79.19	93.05	87.41
8	85.69	92.11	88.86
9	79.27	89.33	87.63
10	82.45	96.58	90.45
11	77.96	93.08	85.06
12	80.61	89.57	85.89
13	81.16	93.41	88.34
14	78.96	89.88	87.56
15	85.56	97.35	94.53
16	70.36	98.13	84.11
17	80.14	92.01	88.68
18	75.22	89.54	86.25
19	86.72	89.61	88.04
20	83.85	94.70	92.64
Mean	81.34	93.41	89.21
Stdev	4.20	2.98	3.02