Research Article
[Retracted] Using an Optimized Learning Vector Quantization- (LVQ-) Based Neural Network in Accounting Fraud Recognition
Table 3
Discrimination results of neural network model training and test samples based on LVQ.
| Company type | Training samples (320 pairs in total) | Test samples (150 pairs in total) | Fraud company | Matching company | Classification accuracy | Fraud company | Matching company | Classification accuracy |
| Fraud company | 305 | 15 | 95.45 | 136 | 14 | 88.54 | Matching company | 18 | 312 | 35.98 | 18 | 132 | 91.54 | Overall correct rate | 93.54 | 90.48 |
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