Performance of machine learning algorithms for dementia assessment: impacts of language tasks, recording media, and modalities

Parsapoor (Parsa), Mahboobeh (Mah); Alam, Muhammad Raisul; Mihailidis, Alex

doi:10.1186/s12911-023-02122-6

BMC Medical Informatics and Decision Making

Table 6 F1 (micro) scores obtained by training ML algorithms with acoustic features

From: Performance of machine learning algorithms for dementia assessment: impacts of language tasks, recording media, and modalities

Features	Algorithms	PDT	SRT	Web	Phone
ANOVA	DT	0.83 (± 0.24)	0.50 (± 0.24)	0.89 (± 0.16)	0.81 (± 0.02)
	ET	0.98 (± 0.03)	0.86 (± 0.09)	0.83 (± 0.24)	0.93 (± 0.09)
	kNN	0.83 (± 0.24)	0.78 (± 0.02)	0.89 (± 0.16)	0.93 (± 0.09)
	LDA	0.89 (± 0.16)	0.70 (± 0.14)	0.89 (± 0.16)	1.00 (± 0.00)
	R_SVM	0.72 (± 0.21)	0.78 (± 0.02)	0.89 (± 0.16)	0.76 (± 0.06)
	L_SVM	0.83 (± 0.24)	0.70 (± 0.14)	0.72 (± 0.21)	1.00 (± 0.00)
	LR	0.83 (± 0.24)	0.78 (± 0.02)	0.72 (± 0.21)	0.93 (± 0.09)
	RF	0.99 (± 0.02)	0.83 (± 0.06)	0.83 (± 0.24)	0.93 (± 0.09)
RF	DT	0.72 (± 0.21)	0.57 (± 0.17)	1.00 (± 0.00)	0.87 (± 0.09)
	ET	0.99 (± 0.02)	0.80 (± 0.04)	1.00 (± 0.00)	0.99 (± 0.02)
	kNN	0.89 (± 0.16)	0.78 (± 0.02)	0.89 (± 0.16)	0.93 (± 0.09)
	LDA	1.00 (± 0.00)	0.57 (± 0.17)	0.89 (± 0.16)	0.93 (± 0.09)
	R_SVM	0.61 (± 0.08)	0.78 (± 0.02)	0.61 (± 0.08)	0.76 (± 0.06)
	L_SVM	0.89 (± 0.16)	0.78 (± 0.02)	0.72 (± 0.21)	1.00 (± 0.00)
	LR	0.89 (± 0.16)	0.87 (± 0.09)	0.72 (± 0.21)	0.93 (± 0.09)
	RF	1.00 (± 0.00)	0.78 (± 0.02)	0.90 (± 0.14)	1.00 (± 0.00)
mRMR	DT	1.00 (± 0.00)	0.70 (± 0.14)	0.83 (± 0.24)	0.87 (± 0.09)
	ET	1.00 (± 0.00)	0.81 (± 0.05)	0.97 (± 0.05)	1.00 (± 0.00)
	kNN	0.50 (± 0.14)	0.78 (± 0.02)	1.00 (± 0.00)	0.81 (± 0.16)
	LDA	1.00 (± 0.00)	0.77 (± 0.21)	1.00 (± 0.00)	1.00 (± 0.00)
	R_SVM	0.61 (± 0.08)	0.78 (± 0.02)	0.72 (± 0.21)	0.76 (± 0.06)
	L_SVM	0.78 (± 0.31)	0.50 (± 0.08)	1.00 (± 0.00)	0.87 (± 0.19)
	LR	0.78 (± 0.31)	0.78 (± 0.02)	1.00 (± 0.00)	0.87 (± 0.19)
	RF	0.99 (± 0.02)	0.78 (± 0.02)	0.88 (± 0.16)	1.00 (± 0.00)
Common	DT	1.00 (± 0.00)	0.52 (± 0.37)	1.00 (± 0.00)	0.80 (± 0.28)
	ET	1.00 (± 0.00)	0.84 (± 0.11)	0.74 (± 0.21)	0.94 (± 0.08)
	kNN	0.83 (± 0.24)	0.70 (± 0.14)	0.89 (± 0.16)	1.00 (± 0.00)
	LDA	0.78 (± 0.16)	0.80 (± 0.16)	0.89 (± 0.16)	0.87 (± 0.19)
	R_SVM	0.72 (± 0.21)	0.78 (± 0.02)	0.78 (± 0.16)	0.76 (± 0.06)
	L_SVM	0.83 (± 0.24)	0.77 (± 0.21)	0.72 (± 0.21)	1.00 (± 0.00)
	LR	0.83 (± 0.24)	0.70 (± 0.14)	0.72 (± 0.21)	1.00 (± 0.00)
	RF	0.98 (± 0.02)	0.78 (± 0.02)	0.81 (± 0.20)	0.95 (± 0.07)

Back to article page

ISSN: 1472-6947

Contact us

General enquiries: journalsubmissions@springernature.com