Multimodal Sleep Stage Detection On Sleep Edf

Accuracy

Cohen's kappa

Macro-F1

评测结果

各个模型在此基准测试上的表现结果

模型名称	Accuracy	Cohen's kappa	Macro-F1	Paper Title
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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