Research Article
A Pruning Neural Network Model in Credit Classification Analysis
Table 4
orthogonal array and factor assignment of the Australian credit dataset.
| Expe. number/parameter | | | | Testing accuracy |
| 1 | 2 | 0.01 | 25 | | 2 | 2 | 0.05 | 28 | | 3 | 2 | 0.08 | 30 | | 4 | 2 | 0.1 | 32 | | 5 | 3 | 0.01 | 25 | | 6 | 3 | 0.05 | 28 | | 7 | 3 | 0.08 | 32 | | 8 | 3 | 0.1 | 30 | | 9 | 4 | 0.01 | 30 | | 10 | 4 | 0.05 | 32 | | 11 | 4 | 0.08 | 25 | | 12 | 4 | 0.1 | 28 | | 13 | 5 | 0.01 | 32 | | 14 | 5 | 0.05 | 30 | | 15 | 5 | 0.08 | 28 | | 16 | 5 | 0.1 | 25 | |
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