Table S5. The characteristic of each evaluation indicator is shown in BP ANN model (n=10,238).
Statistical parameters | Accuracy | Sensitivity | Specificity | PPV | NPV | Type I error | Type II error |
---|---|---|---|---|---|---|---|
Median | 0.9256 | 0.8935 | 0.9493 | 0.9209 | 0.9306 | 0.0507 | 0.1065 |
Mean | 0.9194 | 0.8737 | 0.9497 | 0.9215 | 0.9244 | 0.0503 | 0.1263 |
Min | 0.6015 | 0.0007 | 0.8728 | 0.6217 | 0.6014 | 0 | 0.0720 |
Max | 0.9517 | 0.9280 | 1 | 1 | 0.9529 | 0.1272 | 0.9993 |
BP, backpropagation; ANN, artificial neural network; PPV, positive predictive value; NPV, negative predictive value.