Research Article

Artificial Intelligence-Assisted Decision-Making Method for Legal Judgment Based on Deep Neural Network

Table 2

Comparison of evaluation indicators of each model 2.

Mission nameCrime prediction taskStatutory recommendations
Model nameLoss functionMicro-F1Macro-F1F1-ScoreMicro-F1Macro-F1

Text CNNCross entropy0.8750.7530.8140.850.721
HANCross entropy0.8790.7640.8220.8420.739
DPCNNFocal loss0.8820.7660.8240.8580.739
BERT12multiFocal loss0.8840.7820.8220.8470.758