Research Article
Stress Classification by Multimodal Physiological Signals Using Variational Mode Decomposition and Machine Learning
Table 2
Classification results for the percentage split.
| Sets | Statistical parameters | MPLN | SVM | MPLN | SVM | MPLN | SVM | Modes 1-4 | Modes 5-8 | Modes 1-8 |
| Good performer vs. bad performer | Sensitivity | 97.2 | 61.23 | 98 | 68.67 | 98 | 70.65 | Specificity | 96.3 | 65.12 | 98 | 68.67 | 98 | 70.65 | Accuracy | 97.2 | 61.23 | 98 | 68.67 | 98 | 70.65 | F-measure | 0.95 | 0.65 | 0.97 | 0.57 | 1 | 0.69 | Kappa statistics | 0.94 | 0.63 | 0.98 | 0.56 | 0.99 | 0.69 |
| Good performer vs. bad performer (female) | Sensitivity | 78.56 | 62.34 | 81.67 | 68.67 | 83.78 | 69.67 | Specificity | 78.9 | 62.37 | 82.23 | 68.67 | 83.67 | 69.67 | Accuracy | 76.56 | 62.78 | 81.78 | 68.67 | 83.67 | 69.67 | F-measure | 0.67 | 0.64 | 0.82 | 0.65 | 0.87 | 0.67 | Kappa statistics | 0.68 | 0.63 | 0.82 | 0.65 | 0.88 | 0.69 |
| Good performer vs. bad performer (male) | Sensitivity | 79.56 | 63.43 | 80.21 | 68.67 | 82.67 | 70.02 | Specificity | 78.78 | 63.56 | 80.12 | 68.67 | 82.56 | 70.02 | Accuracy | 78.67 | 63.56 | 80.32 | 68.67 | 82.67 | 70.02 | F-measure | 0.87 | 0.65 | 0.79 | 0.68 | 0.83 | 0.69 | Kappa statistics | 0.87 | 0.65 | 0.79 | 0.67 | 0.83 | 0.69 |
| Good performer vs. bad performer (frontal region) | Sensitivity | 98 | 70.78 | 98.45 | 70.67 | 99 | 72.67 | Specificity | 98 | 78.78 | 98.45 | 70.67 | 99 | 72.67 | Accuracy | 98 | 67.89 | 98.45 | 70.67 | 99 | 72.67 | F-measure | 0.98 | 0.74 | 0.99 | 0.69 | 1 | 0.71 | Kappa statistics | 1 | 0.78 | 1 | 0.7 | 1 | 0.71 |
| Good performer vs. bad performer (temporal region) | Sensitivity | 99.8 | 67.78 | 99.99 | 61.23 | 99.99 | 75.56 | Specificity | 97.78 | 67.78 | 99.99 | 65.12 | 99.99 | 75.56 | Accuracy | 99.8 | 67.78 | 99.99 | 61.23 | 99.99 | 75.56 | F-Measure | 0.99 | 0.74 | 0.99 | 0.59 | 1 | 0.72 | Kappa statistics | 1 | 0.74 | 1 | 0.59 | 1 | 0.76 |
| Good performer vs. bad performer (occipital region) | Sensitivity | 78.56 | 60 | 80.23 | 62.34 | 89.34 | 76.7 | Specificity | 78.9 | 60 | 80.34 | 62.37 | 89.43 | 76.7 | Accuracy | 76.56 | 60 | 80.32 | 62.78 | 89.34 | 76.7 | F-measure | 0.88 | 0.58 | 0.89 | 0.62 | 0.85 | 0.74 | Kappa statistics | 0.85 | 0.58 | 0.86 | 0.62 | 0.85 | 0.74 |
| Good performer vs. bad performer (central region) | Sensitivity | 75.78 | 64.67 | 79.78 | 63.43 | 80.56 | 68.78 | Specificity | 76.89 | 64.67 | 79.56 | 63.56 | 80.56 | 68.78 | Accuracy | 78.67 | 64 | 79.34 | 63.56 | 80.56 | 68.78 | F-measure | 0.76 | 0.67 | 0.75 | 0.62 | 0.83 | 0.56 | Kappa statistics | 0.78 | 0.65 | 0.78 | 0.62 | 0.83 | 0.56 |
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