Table 4.
Evaluations of Models Performance with Optimization.
Algorithm | Features | Scaling | MAE | RMSE | MAPE | R2 Score |
---|---|---|---|---|---|---|
SVM | All | No | 235.44 | 251.33 | 1.1099 | −0.0246 |
All | Yes | 51.44 | 60.70 | 0.2192 | 0.9402 | |
Selected | No | 235.44 | 251.33 | 1.1099 | −0.0246 | |
Selected | Yes | 55.73 | 60.54 | 0.2201 | 0.9405 | |
Random forest | All | No | 23.56 | 29.83 | 0.0826 | 0.9856 |
All | Yes | 43.13 | 51.43 | 0.1584 | 0.9571 | |
Selected | No | 20.13 | 28.87 | 0.0677 | 0.9865 | |
Selected | Yes | 38.15 | 45.87 | 0.1480 | 0.9659 | |
XGBoost | All | No | 25.49 | 31.02 | 0.0859 | 0.9844 |
All | Yes | 33.87 | 41.13 | 0.1017 | 0.9726 | |
Selected | No | 25.50 | 31.13 | 0.0669 | 0.9843 | |
Selected | Yes | 30.61 | 41.79 | 0.0926 | 0.9717 | |
GAN | All | Yes | 0.1147 | 0.1429 | 0.1154 | 0.9828 |
Selected | Yes | 0.0499 | 0.0617 | 0.0543 | 0.9968 |