Table 7.
Accuracy assessment with K-fold cross-validation.
| Classifier | Average accuracy (K-fold cross validation, K = 10) |
|---|---|
| Random forest | 86.58 |
| Logistic regression | 86.41 |
| Decision tree | 76.72 |
| K-nearest neighbor | 84.54 |
| Support vector machine | 86.49 |
| XGBoost | 85.73 |