Research Article
[Retracted] A Dynamic Prediction Model of Financial Distress in the Financial Sharing Environment
Table 3
Evaluation and prediction performance of different evaluation models.
| Year | 2018 | 2019 | 2020 |
| Evaluation criterion | Acc | AUC | KS | Acc | AUC | KS | Acc | AUC | KS | Traditional neural network | 68.74% | 0.7582 | 0.3684 | 68.47% | 0.7286 | 0.3712 | 72.82% | 0.7485 | 0.4385 | Decision tree | 70.58% | 0.4253 | 0.4275 | 76.24% | 0.5425 | 0.5347 | 71.38% | 0.4752 | 0.4527 | SVM | 75.81% | 0.5273 | 0.5724 | 79.75% | 0.6273 | 0.5372 | 72.47% | 0.5347 | 0.4627 | Logistic regression | 67.34% | 0.4725 | 0.3752 | 69.35% | 0.4572 | 0.3827 | 64.28% | 0.4275 | 0.2684 | Proposed model | 82.14% | 0.4014 | 0.3544 | 86.52% | 0.3945 | 0.3477 | 82.97% | 0.4149 | 0.2787 |
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