Research Article
A Pruning Neural Network Model in Credit Classification Analysis
Table 5
orthogonal array and factor assignment of the Japanese credit dataset.
| Expe. number/parameter | | | | Testing accuracy |
| 1 | 2 | 0.01 | 25 | | 2 | 2 | 0.03 | 28 | | 3 | 2 | 0.05 | 30 | | 4 | 2 | 0.07 | 32 | | 5 | 2.5 | 0.01 | 28 | | 6 | 2.5 | 0.03 | 25 | | 7 | 2.5 | 0.05 | 32 | | 8 | 2.5 | 0.07 | 30 | | 9 | 3 | 0.01 | 30 | | 10 | 3 | 0.03 | 32 | | 11 | 3 | 0.05 | 25 | | 12 | 3 | 0.07 | 28 | | 13 | 3.5 | 0.01 | 32 | | 14 | 3.5 | 0.03 | 30 | | 15 | 3.5 | 0.05 | 28 | | 16 | 3.5 | 0.07 | 25 | |
|
|