Skip to main content

Table 1 Heart failure prediction experiment results

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

Method

Training Accuracy

Test Accuracy

Training Time/s

Logistic Regression

85.25

83.24

0.07

Random Tree

96.95

92.10

0.14

Deep Neural Networks (DNNs)

98.95

95.34

12.51

Convolutional Neural Networks (CNNs)

99.44

95.82

7.05

Wide Neural Network (BLS)

98.79

96.92

0.13

DAE-BLS

99.55

97.12

1.20