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Table 4 Cancer CT image prediction experiment results

From: Hybrid disease prediction approach leveraging digital twin and metaverse technologies for health consumer

Method

Training Accuracy

Test Accuracy

Training Time

Logistic Regression

98.95

76.12

84.88

Random Tree

98.42

72.64

77.07

Deep Neural Networks (DNNs)

92.16

82.18

288.22

Convolutional Neural Networks (CNNs)

86.08

86.22

4699.32

Wide Neural Network (BLS)

88.77

78.10

37.24

DAE-BLS

85.52

84.75

96.18