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Outdoor-to-Indoor (O2I) loss classification on Building-level O2I Loss dataset (test region)

98AccuracyXGBoost
83.4487.229194.78Apr 27, 2026

Evaluation results

MethodLinks
XGBoostLearning Paradigm=Semi-supervised Learning (SSL)2026.0498791.0965
RanFLearning Paradigm=Semi-supervised Learning (SSL)2026.0496711.1561
LGBMLearning Paradigm=Semi-supervised Learning (SSL)2026.0495691.165
VotingLearning Paradigm=Semi-supervised Learning (SSL)2026.0495671.1961
XGBoostLearning Paradigm=Supervised Learning (SL)2026.0488821.4352
LGBMLearning Paradigm=Supervised Learning (SL)2026.0487811.1963
VotingLearning Paradigm=Supervised Learning (SL)2026.0487811.3556
RanFLearning Paradigm=Supervised Learning (SL)2026.0484801.4648