k-Fold Cross-Validation Can Significantly Over-Estimate True Classification Accuracy in Common EEG-Based Passive BCI Experimental Designs: An Empirical Investigation

In passive BCI studies, a common approach is to collect data from mental states of interest during relatively long trials and divide these trials into shorter “epochs” to serve as individual samples in classification. While it is known that using k-fold cross-validation (CV) in this scenario can res...

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Номзүйн дэлгэрэнгүй

Үндсэн зохиолчид:	Jacob White, Sarah D. Power
Формат:	Artigo
Хэл сонгох:	Inglês
Хэвлэсэн:	MDPI AG 2023-07-01
Цуврал:	Sensors
Нөхцлүүд:	EEG time-series cross validation passive brain–computer interface
Онлайн хандалт:	https://www.mdpi.com/1424-8220/23/13/6077
Шошгууд:	Шошго нэмэх Шошго байхгүй, Энэхүү баримтыг шошголох эхний хүн болох!