Research Article
Artificial Intelligence-Assisted Decision-Making Method for Legal Judgment Based on Deep Neural Network
Table 1
Comparison of evaluation indicators of each model
| Mission name | Crime prediction task | Statutory recommendations | Model name | Micro-F1 | Macro-F1 | F1-score | Micro-F1 | Macro-F1 | F1-score |
| SVM for task1 | 0.815 | 0.648 | 0.792 | — | 0.592 | 0.683 | SVM for task2 | — | — | — | 0.773 | — | — | Text CNN for task1 | 0.841 | 0.751 | 0.813 | 0.848 | 0.721 | 0.785 | Text CNN for task2 | 0.875 | 0.753 | 0.814 | — | 0.721 | 0.753 | Text CNN multi | — | — | — | 0.85 | — | — | HAN for task1 | 0.878 | 0.733 | 0.822 | 0.841 | 0.737 | 0.783 | HAN for task2 | 0.987 | 0.764 | 0.819 | — | 0.739 | 0.791 | HAN multi | — | — | — | 0.842 | — | — |
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