Table 4 Models structure and hyperparameters values.
Model | Hyper-parameter | Value |
|---|---|---|
XGBoost | Learning Rate | 0.076 |
Tree Depth | 5 | |
Tree Count | 271 | |
Child Weight | 2 | |
AdaBoost | Tree Depth | 9 |
Learning Rate | 0.286 | |
Estimator Count | 249 | |
LightGBM | Learning Rate | 0.075 |
Max Depth | 3 | |
Child Samples | 21 | |
Estimator Count | 394 | |
KNN | Tree Size | 49 |
Neighbor Count | 8 | |
Weighting Method | Distance | |
Informer | Encoder and Decoder Input Size | 8 |
Input Sequence Length | 96 | |
Start Token Length | 48 | |
Prediction Sequence Length | 24 | |
Dimensional of Model | 512 |
