Table 7 Evaluation metrics (mean ± standard deviation) obtained by selecting features and hyperparameter values from UEX database and testing the performance on mPower-based database
Accuracy | Sensitivity | Specificity | AUC | |
|---|---|---|---|---|
Gradient Boosting | 0.5234 ± 0.1139 | 0.5358 ± 0.1827 | 0.5131 ± 0.1912 | 0.5377 ± 0.1294 |
Logistic Regression | 0.5380 ± 0.1233 | 0.5376 ± 0.2024 | 0.5393 ± 0.2036 | 0.5569 ± 0.1495 |
Passive Aggressive | 0.5021 ± 0.1243 | 0.4706 ± 0.2092 | 0.5357 ± 0.2130 | 0.5036 ± 0.1548 |
Perceptron | 0.5289 ± 0.1205 | 0.5267 ± 0.2019 | 0.5334 ± 0.2027 | 0.5522 ± 0.1452 |
Random Forest | 0.5519 ± 0.1245 | 0.5286 ± 0.1956 | 0.5818 ± 0.1980 | 0.5822 ± 0.1474 |
SVM | 0.5230 ± 0.1209 | 0.5308 ± 0.2023 | 0.5166 ± 0.2025 | 0.5442 ± 0.1432 |