Research Article
A Network Security Situation Prediction Method through the Use of Improved TCN and BiDLSTM
Table 5
Comparison of metrics across models on dataset 2.
| Model | Metrics | MAE | MAPE | RMSE |
| SVR | 0.0682 | 20.2076 | 0.0820 | BiDLSTM | 0.0575 | 16.9473 | 0.0753 | LSTM | 0.0579 | 17.8927 | 0.0741 | TCN | 0.0626 | 17.8601 | 0.0769 | GRU | 0.0612 | 18.6871 | 0.0814 | TCN-LSTM | 0.0572 | 16.4657 | 0.0662 | TCN-GRU | 0.0575 | 16.9201 | 0.0690 | TCN-BiDLSTM | 0.0529 | 16.1642 | 0.0653 | TCN-BiGRU | 0.0556 | 16.4503 | 0.0696 | ATCN | 0.0539 | 15.5705 | 0.0633 | ATCN-LSTM | 0.0504 | 14.3002 | 0.0656 | ATCN-BiDLSTM | 0.0466 | 14.0611 | 0.0613 |
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