Model | Performance evaluation of the algorithms | |||
R2 | MAE | RMSE | MSE | |
DT: Training | 1.000 | 0.000 | 0.000 | 0.000 |
DT: Testing | 0.954 | 0.050 | 0.090 | 0.010 |
SVR: Training | 0.928 | 0.090 | 0.110 | 0.010 |
SVR: Testing | 0.897 | 0.100 | 0.130 | 0.010 |
LR: Training | 0.902 | 0.080 | 0.130 | 0.010 |
LR: Testing | 0.848 | 0.120 | 0.240 | 0.060 |
KNN: Training | 0.974 | 0.030 | 0.060 | 0.000 |
KNN: Testing | 0.977 | 0.040 | 0.060 | 0.000 |