Research Article
A Differential Evolution-Oriented Pruning Neural Network Model for Bankruptcy Prediction
Table 2
orthogonal array and factor assignment of the Qualitative Bankruptcy data set.
| Expe. NO./Parameter | | | | Testing accuracy |
| 1 | 8 | 3 | 0.1 | 99.52 1.00 | 2 | 8 | 5 | 0.3 | 99.01 1.61 | 3 | 8 | 7 | 0.5 | 99.15 1.26 | 4 | 8 | 10 | 0.7 | 99.01 1.24 | 5 | 10 | 3 | 0.3 | 99.57 0.55 | 6 | 10 | 5 | 0.1 | 99.23 1.02 | 7 | 10 | 7 | 0.9 | 99.12 1.32 | 8 | 10 | 10 | 0.7 | 99.12 1.06 | 9 | 12 | 3 | 0.5 | 99.15 1.28 | 10 | 12 | 5 | 0.7 | 99.23 1.27 | 11 | 12 | 7 | 0.1 | 98.88 1.83 | 12 | 12 | 10 | 0.3 | 99.12 1.41 | 13 | 14 | 3 | 0.7 | 98.64 2.10 | 14 | 14 | 5 | 0.5 | 99.15 1.15 | 15 | 14 | 7 | 0.3 | 99.07 1.56 | 16 | 14 | 10 | 0.1 | 98.93 1.43 |
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