Table 4.
Results for Non-permanent Tinnitus Users, including standard deviation.
| Non-permanent Tinnitus Users | ||||||
|---|---|---|---|---|---|---|
| Accuracy | F1-score | AUC | Precision | Sensitivity | Specificity | |
| DT | 0.598 (+/− 0.045) | 0.611 (+/− 0.036) | 0.522 (+/− 0.034) | 0.753 (+/− 0.018) | 0.681 (+/− 0.067) | 0.359 (+/− 0.052) |
| RFC | 0.641 (+/− 0.052) | 0.636 (+/− 0.040) | 0.554 (+/− 0.076) | 0.752 (+/− 0.021) | 0.769 (+/− 0.076) | 0.273 (+/− 0.063) |
| SVM | 0.554 (+/− 0.084) | 0.576 (+/− 0.085) | 0.578 (+/− 0.086) | 0.789 (+/− 0.056) | 0.539 (+/− 0.119) | 0.595 (+/− 0.111) |
| CNB | 0.519 (+/− 0.107) | 0.538 (+/− 0.112) | 0.580 (+/− 0.107) | 0.777 (+/− 0.087) | 0.484 (+/− 0.154) | 0.622 (+/− 0.132) |
| KNC | 0.702 (+/− 0.045) | 0.641 (+/− 0.033) | 0.576 (+/− 0.077) | 0.743 (+/− 0.017) | 0.914 (+/− 0.067) | 0.093 (+/− 0.070) |
| LRC | 0.529 (+/− 0.097) | 0.550 (+/− 0.097) | 0.572 (+/− 0.104) | 0.779 (+/− 0.076) | 0.505 (+/− 0.139) | 0.597 (+/− 0.132) |
| MLP | 0.720 (+/− 0.036) | 0.648 (+/− 0.024) | 0.601 (+/− 0.092) | 0.746 (+/− 0.011) | 0.943 (+/− 0.057) | 0.078 (+/− 0.055) |
| XGB | 0.632 (+/− 0.061) | 0.635 (+/− 0.048) | 0.576 (+/− 0.088) | 0.761 (+/− 0.027) | 0.734 (+/− 0.094) | 0.339 (+/− 0.096) |
Decision Tree (DT), Random Forest (RFC), Support Vector Machine (SVM), Complement Naive Bayes (CNB), k-nearest neighbors (KNC), Logistic Regression (LRC), Multi-layer Perceptron (MLP), Extreme Gradient Boosting (XGB)
Highest values are in bold.