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Table 3 Evaluation of ITL + ELA algorithms in the case of same features

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

 

Parameter

SD_GraTrans_Opt +TD_train (%)

SD_GraTrans +TD_train (%)

TD_train (%)

SD+TD_train (%)

Cost

Gamma

SVM (linear)

2

0.03125

83.33

78.33

76.67

50

1.5

0.03125

83.33

76.67

76.67

50

1

0.03125

83.33

76.67

76.67

50

1

0.3125

80

76.67

76.67

50

1

0.003125

83.33

76.67

76.67

50

SVM (RBF)

2

0.03125

83.33

76.67

76.67

50

1.5

0.03125

83.33

76.67

76.67

50

1

0.03125

83.33

78.33

76.67

50

1

0.3125

83.33

78.33

76.67

50

1

0.003125

81.67

66.67

60

50

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