Localized instance fusion of MRI data of Alzheimer’s disease for classification based on instance transfer ensemble learning

Table 4 The results of the target domain in the case of different sampling

Number of samples in TD	Kernel type	SD_GraTrans_Opt+TD_train (Mean, std)	SD_GraTrans+TD_train (Mean, std)	TD_train (Mean, std)
60	Linear	(83.33%, 0)	(76.67%, 0)	(76.67%, 0)
60	RBF	(83.33%, 0)	(78.33%, 0)	(76.67%, 0)
40	Linear	(82.29%, 0.0419)	(76.67%, 0.0504)	(75.42%, 0.0601)
40	RBF	(84%, 0.0129)	(77.75%, 0.0184)	(77.75%, 0.0249)
20	Linear	(86%, 0.0615)	(76%,0.0658)	(75%, 0.0882)
20	RBF	(88%, 0.0422)	(72.5%, 0.0795)	(74.5%, 0.1066)

The italicized data represents the highest classification accuracy under the same experimental conditions

ISSN: 1475-925X