Table 10 Performance comparison of Transformer models optimized by different algorithms on Amazon dataset.
Model | Training set | Test set | ||||
|---|---|---|---|---|---|---|
RMSE | R2 | RPD | RMSE | R2 | RPD | |
Transformer | 8.8969 | 0.9980 | 23.3262 | 88.2008 | 0.9891 | 10.4270 |
RS-Transformer | 10.6295 | 0.9972 | 18.9148 | 102.9107 | 0.9852 | 8.2235 |
GS-Transformer | 32.7169 | 0.9735 | 6.1445 | 346.4594 | 0.8324 | 5.5287 |
BO-Transformer | 5.5452 | 0.9992 | 36.2845 | 53.7565 | 0.9960 | 15.9220 |
MOMVO-Transformer | 4.4441 | 0.9979 | 22.3255 | 54.5659 | 0.9972 | 19.5469 |
MSSA-Transformer | 8.9905 | 0.9915 | 11.0998 | 141.7431 | 0.9811 | 10.4672 |
MOEAD-Transformer | 5.8889 | 0.9991 | 35.9243 | 57.4243 | 0.9954 | 16.0326 |
MOEBS-Transformer | 5.4766 | 0.9993 | 37.2649 | 52.5328 | 0.9962 | 16.1724 |