Table 1 Results of all applied models.
Models | RMSE | MAE | R² |
|---|---|---|---|
Machine Learning Models | |||
DT | 1.38 | 1.04 | 0.74 |
KNN | 1.14 | 0.90 | 0.19 |
Ensemble Learning Models | |||
RF | 1.14 | 0.88 | 0.18 |
XGB | 1.006 | 0.79 | 0.07 |
Matrix Factorization | |||
SVD | 0.87 | 0.67 | 0.78 |
Deep Learning Model | |||
GRU | 0.74 | 0.56 | 0.83 |
Transformer-based Model | |||
MBT4R | 0.62 | 0.45 | 0.91 |
