Research Article
A Differential Evolution-Oriented Pruning Neural Network Model for Bankruptcy Prediction
Table 4
orthogonal array and factor assignment of the Distress data set.
| Expe. NO./Parameter | | | | Testing accuracy |
| 1 | 12 | 3 | 0.3 | 76.25 4.04 | 2 | 12 | 5 | 0.5 | 75.73 2.64 | 3 | 12 | 7 | 0.7 | 75.69 3.14 | 4 | 12 | 10 | 0.9 | 74.78 2.77 | 5 | 15 | 3 | 0.5 | 76.15 3.24 | 6 | 15 | 5 | 0.3 | 76.31 3.66 | 7 | 15 | 7 | 0.9 | 76.11 3.81 | 8 | 15 | 10 | 0.7 | 75.83 2.27 | 9 | 18 | 3 | 0.7 | 75.06 2.93 | 10 | 18 | 5 | 0.9 | 75.10 3.60 | 11 | 18 | 7 | 0.3 | 75.48 3.02 | 12 | 18 | 10 | 0.5 | 76.41 3.23 | 13 | 21 | 3 | 0.9 | 75.20 2.42 | 14 | 21 | 5 | 0.7 | 75.08 3.60 | 15 | 21 | 7 | 0.5 | 75.42 3.53 | 16 | 21 | 10 | 0.3 | 76.27 2.83 |
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