Table 5 AUC value comparison of classification using various synthetic data replacement.

From: An enhancement of machine learning model performance in disease prediction with synthetic data generation

Data

Model

XGB

RF

KNN

TabNet

COVID-19

SMOTE

92.2

92.6

92.5

93.8

ADASYN

92

92

92.3

94

CTGAN

92.1

92.2

92

93.7

DCTGAN-ResNet

94

93.9

94.2

95.5

Kidney

SMOTE

92.4

92.3

92.1

93.5

ADASYN

92.2

92.1

92

93.3

CTGAN

92.3

92

92

93

DCTGAN-ResNet

94.5

94.3

94.2

95.2

Dengue

SMOTE

92.5

92.2

92.1

93.5

ADASYN

92.3

92.1

92

93.3

CTGAN

92.1

92

91.9

93

DCTGAN-ResNet

94.7

94.5

94.2

95.8

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