Research Article
Deep Learning Based on Hierarchical Self-Attention for Finance Distress Prediction Incorporating Text
Table 4
Evaluation of models on both 48 financial ratios and text.
| | | AUC | Precision | Recall | F1-score | F2-score |
| FIN + BOW | LR | 0.7203 | 0.8515 | 0.4826 | 0.6160 | 0.5284 | SVM | 0.7729 | 0.8683 | 0.5258 | 0.6594 | 0.5708 | XGB | 0.8115 | 0.7356 | 0.7035 | 0.7192 | 0.7097 | RF | 0.7634 | 0.6357 | 0.6121 | 0.6237 | 0.6167 | ANN | 0.7636 | 0.5720 | 0.6962 | 0.6280 | 0.6672 | AdaBoost | 0.8071 | 0.7214 | 0.6860 | 0.7061 | 0.6986 |
| FIN + TXT | BERT + HAN | 0.8218 | 0.6656 | 0.7274 | 0.6951 | 0.7141 |
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