Research Article
A Corporate Credit Rating Model Using Support Vector Domain Combined with Fuzzy Clustering Algorithm
Table 4
Table of experiment results.
| Type |
Technique | Korea data set | China data set | Valid (%) | Time (Second) | Valid (%) | Time (Second) |
| Prior AI approach | ANN | 62.78 | 1.67 | 67.19 | 1.52 |
| Conventional MSVM | One-against-all | 70.23 | 2.68 | 71.26 | 2.60 | One-against-one | 71.76 | 2.70 | 72.13 | 2.37 | DAGSVM [28] | 69.21 | 2.69 | 71.13 | 2.61 | Grammer & Singer [29] | 70.07 | 2.62 | 70.91 | 2.50 | OMSVM [46] | 71.61 | 2.67 | 72.08 | 2.59 |
| The sphere-based classifier | Standard SVDD | 72.09 | 1.70 | 72.98 | 1.04 | proposed method () | 72.12 | 1.20 | 73.70 | 0.86 |
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