Table 3. Model performance.
| Model | Accuracy/AUC |
|---|---|
| Multinomial logistic regression | 0.8736/0.76 |
| Decision tree | 0.7912/0.57 |
| Naive bayes | 0.8297/0.68 |
| Random forest-1000 trees | 0.8681/0.69 |
| Support vector machine | 0.8626/0.68 |
| Artificial neural network | 0.8626/0.54 |
AUC = area under the receiver-operating-characteristic curve.