Classification on Twitter Natural language (test)
78.8bACCLDAM + M2m
Evaluation results
| Method | Links | ||
|---|---|---|---|
| LDAM + M2mLoss=LDAM, Re-balancing=M2m, Imbalance ratio=~147.92020.04 | 78.8 | 76 | |
| ERM + M2mLoss=ERM, Re-balancing=M2m, Imbalance ratio=~147.92020.04 | 78.2 | 74.8 | |
| LDAM + DRWLoss=LDAM, Re-balancing=DRW, Imbalance ratio=~147.92020.04 | 78 | 74.4 | |
| ERM + DRSLoss=ERM, Re-balancing=DRS, Imbalance ratio=~147.92020.04 | 77.8 | 74.3 | |
| ERM + CB-RWLoss=ERM, Re-balancing=CB-RW, Imbalance ratio=~147.92020.04 | 77.5 | 73.6 | |
| ERM + RWLoss=ERM, Re-balancing=RW, Imbalance ratio=~147.92020.04 | 76.2 | 73.5 | |
| ERM + RSLoss=ERM, Re-balancing=RS, Imbalance ratio=~147.92020.04 | 75.8 | 70.4 | |
| ERM + SMOTELoss=ERM, Re-balancing=SMOTE, Imbalance ratio=~147.92020.04 | 75.8 | 69.5 | |
| ERMLoss=ERM, Re-balancing=-, Imbalance ratio=~147.92020.04 | 74.7 | 65.2 | |
| LDAMLoss=LDAM, Re-balancing=-, Imbalance ratio=~147.92020.04 | 74.6 | 66.1 | |
| FocalLoss=Focal, Re-balancing=-, Imbalance ratio=~147.92020.04 | 74.2 | 70.4 |