Table 6 Performance metrics of classifiers for prediabetes Prediction.
From: Artificial intelligence model as a tool to predict prediabetes
Classifiers | Accuracy | Precision | Re-call | F1-score | AUC |
|---|---|---|---|---|---|
PNN | 0.98333 | 1 | 0.96154 | 0.98039 | 0.9808 |
SVM | 0.96607 | 0.96154 | 0.5814 | 0.41667 | 0.96606 |
KNN | 0.83333 | 0.7664 | 0.38333 | 0.51111 | 0.83937 |
LR | 0.71667 | 0.62162 | 0.38333 | 0.47423 | 0.73643 |
