Research Article
A New Method of Diagnosing Constitutional Types Based on Vocal and Facial Features for Personalized Medicine
Table 3
Detailed performance evaluation of experiments using feature selection in all groups.
| | Group | Measure | Class | | TE | SE | SY |
| | Female-20 | Sensitivity | 0.89 | 0.77 | 0.91 | | Specificity | 0.93 | 0.95 | 0.9 | | -measure | 0.87 | 0.83 | 0.88 |
| | Female-30 | Sensitivity | 0.63 | 0.4 | 0.53 | | Specificity | 0.78 | 0.84 | 0.66 | | -measure | 0.6 | 0.44 | 0.52 |
| | Female-50 | Sensitivity | 0.87 | 0.17 | 0.8 | | Specificity | 0.79 | 0.97 | 0.74 | | -measure | 0.8 | 0.26 | 0.72 |
| | Male-30 | Sensitivity | 0.81 | 0.84 | 0.09 | | Specificity | 0.74 | 0.78 | 0.92 | | -measure | 0.72 | 0.75 | 0.14 |
| | Male-50 | Sensitivity | 0.89 | 0.5 | 0.68 | | Specificity | 0.81 | 0.92 | 0.82 | | -measure | 0.81 | 0.58 | 0.68 |
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