Table 9.
Results for Non-permanent Tinnitus Users (downsampled), including standard deviation.
| Non-permanent Tinnitus Users down | ||||||
|---|---|---|---|---|---|---|
| Accuracy | F1-score | AUC | Precision | Sensitivity | Specificity | |
| DT | 0.640 (+/− 0.009) | 0.648 (+/− 0.012) | 0.641 (+/− 0.012) | 0.634 (+/− 0.009) | 0.663 (+/− 0.023) | 0.618 (+/− 0.020) |
| RFC | 0.665 (+/− 0.011) | 0.670 (+/− 0.012) | 0.733 (+/− 0.013) | 0.661 (+/− 0.011) | 0.678 (+/− 0.017) | 0.652 (+/− 0.015) |
| SVM | 0.608 (+/− 0.010) | 0.605 (+/− 0.009) | 0.640 (+/− 0.012) | 0.610 (+/− 0.012) | 0.599 (+/− 0.008) | 0.617 (+/− 0.017) |
| CNB | 0.569 (+/− 0.012) | 0.542 (+/− 0.011) | 0.609 (+/− 0.014) | 0.579 (+/− 0.014) | 0.510 (+/− 0.010) | 0.629 (+/− 0.018) |
| KNC | 0.642 (+/− 0.011) | 0.643 (+/− 0.010) | 0.690 (+/− 0.011) | 0.641 (+/− 0.013) | 0.646 (+/− 0.013) | 0.638 (+/− 0.020) |
| LRC | 0.593 (+/− 0.010) | 0.577 (+/− 0.010) | 0.618 (+/− 0.013) | 0.600 (+/− 0.011) | 0.556 (+/− 0.011) | 0.629 (+/− 0.014) |
| MLP | 0.637 (+/− 0.008) | 0.630 (+/− 0.013) | 0.694 (+/− 0.010) | 0.643 (+/− 0.015) | 0.620 (+/− 0.033) | 0.654 (+/− 0.038) |
| XGB | 0.665 (+/− 0.012) | 0.657 (+/− 0.015) | 0.723 (+/− 0.012) | 0.674 (+/− 0.012) | 0.641 (+/− 0.022) | 0.689 (+/− 0.015) |
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.