Research Article
An Analytic Hierarchy Model for Classification Algorithms Selection in Credit Risk Analysis
Table 6
The final ranking with comparative analysis.
| Algorithm | Australian credit dataset | German credit dataset |
| BNK | 0.6471 | 2 | 0.2139 | 6 | NBS | 0.3806 | 8 | 0.9380 | 2 | LRN | 0.9785 | 1 | 0.9754 | 1 | J48 | 0.4092 | 7 | 0.2101 | 7 | NBTree | 0.4841 | 6 | 0.2099 | 8 | IB1 | 0.2824 | 10 | 0.0000 | 10 | IBK | 0.2979 | 9 | 0.0390 | 9 | SMO | 0.6017 | 3 | 0.6945 | 3 | RBF | 0.5497 | 4 | 0.6173 | 4 | MLP | 0.5163 | 5 | 0.4638 | 5 |
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