Table 6 Performance of models on the test set for different feature sets.
Models | R2 | RMSE | R2 | RMSE | Models | R2 | RMSE | R2 | RMSE |
|---|---|---|---|---|---|---|---|---|---|
Selected features | All features | Selected features | All features | ||||||
RNN | 0.9084 | 14.87 | 0.9150 | 13.95 | KAN | 0.9026 | 15.47 | 0.9105 | 14.35 |
LSTM | 0.9177 | 14.42 | 0.9240 | 13.11 | TCN-KAN | 0.9307 | 13.55 | 0.9401 | 12.74 |
GRU | 0.9115 | 14.72 | 0.9205 | 13.55 | GA-TCN-KAN | 0.9642 | 11.66 | 0.9700 | 10.95 |
TCN | 0.8958 | 15.33 | 0.9052 | 14.27 | PSO-TCN-KAN | 0.9711 | 10.59 | 0.9765 | 9.88 |
CNN-LSTM | 0.9140 | 16.04 | 0.9195 | 14.90 | WOA-TCN-KAN | 0.9815 | 9.93 | 0.9850 | 8.95 |