Table 2 Diabetes prediction experiment results
Method | Training Accuracy | Test Accuracy | Training Time/s |
|---|---|---|---|
Logistic Regression | 73.21 | 72.46 | 1.98 |
Random Tree | 91.24 | 90.26 | 2.06 |
Deep Neural Networks (DNNs) | 95.68 | 93.79 | 95.19 |
Convolutional Neural Networks (CNNs) | 95.02 | 94.22 | 105.76 |
Wide Neural Network (BLS) | 94.18 | 93.32 | 52.46 |
DAE-BLS | 95.16 | 94.88 | 54.73 |