BMC Bioinformatics

Table 9 Best accuracy by classification method

From: Oral cancer prognosis based on clinicopathologic and genomic markers using a hybrid of feature selection and machine learning methods

Feature selection method	Group 1				Group 2
	Classification method				Classification method
	ANFIS	ANN	SVM	LR	ANFIS	ANN	SVM	LR
GA	70.95	52.43	61.43	68.10	74.76	51.48	74.76	74.76
CC	74.76	54.48	60.95	67.62	61.90	57.38	67.62	71.43
ReliefF	64.29	51.52	54.29	50.59	67.14	49.48	54.29	50.59
CC-GA	67.62	50.48	63.81	70.95	74.76	55.19	74.76	74.76
ReliefF-GA	67.62	56.76	64.29	61.43	93.81	84.62	74.76	74.76

Back to article page

ISSN: 1471-2105

Contact us

General enquiries: journalsubmissions@springernature.com