Table 16. Results of machine learning classifiers using cross validation.
| Model | CR Resampling | CC Resampling | ||
|---|---|---|---|---|
| Accuracy | Confidence Interval | Accuracy | Confidence Interval | |
| RF | 0.986 | +/−0.013 | 0.794 | +/−0.061 |
| LR | 0.850 | +/−0.017 | 0.794 | +/−0.093 |
| ETC | 0.990 | +/−0.013 | 0.767 | +/−0.082 |
| AB | 0.978 | +/−0.017 | 0.756 | +/−0.103 |
| SVM | 0.836 | +/−0.038 | 0.828 | +/−0.058 |
| SMOTE Resampling | ADASYN Resampling | |||
| RF | 0.911 | +/−0.038 | 0.917 | +/−0.046 |
| LR | 0.847 | +/−0.066 | 0.803 | +/−0.052 |
| ETC | 0.920 | +/−0.041 | 0.909 | +/−0.062 |
| AB | 0.873 | +/−0.043 | 0.866 | +/−0.056 |
| SVM | 0.840 | +/−0.049 | 0.810 | +/−0.071 |