Table 2. R2, Validation MSE (KFold Loss), MAE, and MAPE for Each of the Machine Learning Models Useda.
method | average R2 | average KFold loss | average MAE | average MAPE |
---|---|---|---|---|
linear | 0.330 | 0.605 | 7.251 | 87.822 |
SVM | 0.650 | 0.305 | 5.309 | 51.381 |
DT | 0.777 | 0.195 | 3.790 | 35.853 |
GBDT | 0.864 | 0.117 | 2.882 | 26.544 |
MAE and MAPE were calculated once the data was converted back from a log value.