Table 2 Performance metrics of different models.
Model | RMSE | MSE | MAE | R2 | Time (HH:MM:SS) |
|---|---|---|---|---|---|
RF regressor | 523.50 | 274052.77 | 253.80 | 0.985 | 00:00:05 |
MLP regressor | 563.74 | 317802.79 | 286.31 | 0.980 | 12:29:59 |
XGBoost regressor | 612.88 | 375621.89 | 323.08 | 0.972 | 00:00:09 |
Boosted dt regressor | 711.31 | 505962.77 | 345.1120 | 0.968 | 00:00:04 |
Knn regressor | 1346.65 | 1813463.53 | 728.61 | 0.887 | 00:00:03 |
Linear regression | 1395.41 | 1947164.32 | 833.93 | 0.876 | 00:00:03 |
Support vector regression | 3044.49 | 9268924.23 | 1632.91 | 0.421 | 00:00:50 |
