Multimodal Sleep Stage Detection On Sleep Edf
평가 지표
Accuracy
Cohen's kappa
Macro-F1
평가 결과
이 벤치마크에서 각 모델의 성능 결과
모델 이름 | Accuracy | Cohen's kappa | Macro-F1 | Paper Title | Repository |
---|---|---|---|---|---|
Linear model | 85.7% | 0.806 | 0.809 | Do Not Sleep on Traditional Machine Learning: Simple and Interpretable Techniques Are Competitive to Deep Learning for Sleep Scoring | |
Scratch SeqSleepNet+ (EEG+EOG) | 82.2% | - | - | Towards More Accurate Automatic Sleep Staging via Deep Transfer Learning | |
CatBoost | 86.4% | 0.812 | 0.802 | Do Not Sleep on Traditional Machine Learning: Simple and Interpretable Techniques Are Competitive to Deep Learning for Sleep Scoring |
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