Research Article
A Network Security Situation Prediction Method through the Use of Improved TCN and BiDLSTM
Table 4
Comparison of metrics across models on dataset 1
| Model | Metrics | MAE | MAPE | RMSE |
| SVR | 0.0865 | 18.3413 | 0.1021 | BiDLSTM | 0.0658 | 12.7806 | 0.0898 | LSTM | 0.0671 | 13.9057 | 0.0893 | TCN | 0.0685 | 14.8139 | 0.0920 | GRU | 0.0700 | 13.9189 | 0.0909 | TCN-LSTM | 0.0616 | 12.3945 | 0.0837 | TCN-GRU | 0.0602 | 12.5181 | 0.0740 | TCN-BiDLSTM | 0.0578 | 11.9516 | 0.0695 | TCN-BiGRU | 0.0698 | 13.7644 | 0.0885 | ATCN | 0.0653 | 12.7507 | 0.0800 | ATCN-LSTM | 0.0639 | 12.7629 | 0.0777 | ATCN-BiDLSTM | 0.0561 | 11.3181 | 0.0722 |
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