Table 3.
Classification performance for each feature set using a logistic regression modela
Feature Set | Accuracy | Sensitivity | Specificity |
---|---|---|---|
All features | 0.72 | 0.75 | 0.70 |
GSR | 0.78 | 0.75 | 0.80 |
HR | 0.66 | 0.50 | 0.75 |
ST | 0.59 | 0.50 | 0.65 |
Recovery | 0.63 | 0.50 | 0.70 |
Response | 0.78 | 0.75 | 0.80 |
Abbreviations: GSR, galvanic skin response; HR, heart rate; ST, skin temperature.
The performance is evaluated using accuracy, sensitivity, and specificity. Classifications based on the GSR and response‐related features give the best performance.