Indoor-to-Indoor (I2I) loss classification on Building-level I2I Loss dataset (test region)
95AccuracyXGBoost
Evaluation Results
| Method | Links | ||||
|---|---|---|---|---|---|
| XGBoostLearning Paradigm=Semi-supervised Learning (SSL)2026.04 | 95 | 84 | 1.36 | 55 | |
| RanFLearning Paradigm=Semi-supervised Learning (SSL)2026.04 | 90 | 81 | 1.45 | 48 | |
| LGBMLearning Paradigm=Semi-supervised Learning (SSL)2026.04 | 90 | 81 | 1.28 | 59 | |
| VotingLearning Paradigm=Semi-supervised Learning (SSL)2026.04 | 89 | 80 | 1.41 | 52 | |
| XGBoostLearning Paradigm=Supervised Learning (SL)2026.04 | 87 | 81 | 1.48 | 48 | |
| LGBMLearning Paradigm=Supervised Learning (SL)2026.04 | 87 | 80 | 1.32 | 58 | |
| VotingLearning Paradigm=Supervised Learning (SL)2026.04 | 87 | 80 | 1.43 | 52 | |
| RanFLearning Paradigm=Supervised Learning (SL)2026.04 | 84 | 79 | 1.49 | 46 |