Table 5.
Performance comparison of the CNN-LSTM model against traditional regression models for 
| Model | RMSE | MAE | Acc | AUC | ![]() |
|---|---|---|---|---|---|
| ANN | 0.119 | 0.092 | 49.86% | 0.629 | 0.550 |
| SVR | 0.094 | 0.069 | 48.39% | 0.635 | 0.558 |
| DTR | 0.128 | 0.099 | 50.97% | 0.592 | 0.482 |
LSTM
|
0.111 | 0.086 | 48.33% | 0.632 | 0.563 |
LSTM
|
0.109 | 0.084 | 49.44% | 0.628 | 0.551 |
LSTM
|
0.104 | 0.079 | 51.67% | 0.649 | 0.579 |
LSTM
|
0.127 | 0.100 | 49.31% | 0.624 | 0.545 |
| CNN-LSTM | 0.104 | 0.078 | 53.97% | 0.670 | 0.620 |




