Table 3.
Performance comparison of the CNN-LSTM model against traditional regression models for
Model | RMSE | MAE | Acc | AUC | ![]() |
---|---|---|---|---|---|
ANN | 0.113 | 0.087 | 51.53% | 0.651 | 0.584 |
SVR | 0.093 | 0.067 | 50.69% | 0.638 | 0.565 |
DTR | 0.125 | 0.100 | 47.22% | 0.578 | 0.473 |
LSTM![]() |
0.109 | 0.083 | 49.44% | 0.632 | 0.557 |
LSTM![]() |
0.112 | 0.086 | 50.69% | 0.656 | 0.638 |
LSTM![]() |
0.110 | 0.084 | 49.44% | 0.618 | 0.532 |
LSTM![]() |
0.111 | 0.084 | 50.07% | 0.605 | 0.508 |
CNN-LSTM | 0.093 | 0.067 | 55.25% | 0.680 | 0.571 |