Rating Prediction on Yelp (test)
0.9724RMSEDE-LFT
Evaluation results
| Method | Links | ||
|---|---|---|---|
| DE-LFTHyperparameter Optimization=Differential Evolution2026.06 | 0.9724 | 0.7668 | |
| Grid SearchTarget Model=LFT2026.06 | 1.0012 | 0.7812 | |
| LFTHyperparameter Optimization=Manual tuning2026.06 | 1.0186 | 0.7951 | |
| PUMATrainable Parameters (M)=88.12026.01 | 1.1073 | 0.8493 | |
| Full RetrainingTrainable Parameters (M)=N/A2026.01 | 1.1994 | 0.9269 | |
| Source Model PerformanceTrainable Parameters (M)=N/A2026.01 | 1.2005 | 0.9369 | |
| Random InitializationTrainable Parameters (M)=N/A2026.01 | 1.6671 | 1.4981 |