Research Article
Personalized Body Constitution Inquiry Based on Machine Learning
Table 2
Experimental performances of different models.
| Body constitution combination | Classifier | k | Acc (5-folds) (%) | Micro-averaging | Macro-averaging | Response time (s) | Precision (%) | Recall (%) | F Score (%) | Precision (%) | Recall (%) | F Score (%) |
| Balanced Constitution; Yang-deficient Constitution; Qi-deficient constitution | LDA | 16 | 99.88 | 99.88 | 99.88 | 99.88 | 99.86 | 99.88 | 99.87 | 0.009 | ANN | 18 | 99.90 | 99.90 | 99.90 | 99.90 | 99.89 | 99.90 | 99.90 | 0.524 | SVM | 15 | 99.76 | 99.76 | 99.76 | 99.76 | 99.74 | 99.75 | 99.75 | 0.013 | RF | 15 | 87.29 | 87.29 | 87.29 | 87.29 | 87.81 | 86.34 | 86.38 | 0.036 | KNN | 14 | 97.18 | 97.18 | 97.18 | 97.18 | 97.08 | 97.05 | 97.06 | 134.273 |
| Yang-deficient Constitution; Phlegm-dampness Constitution; Stagnant blood constitution | LDA | 22 | 99.84 | 99.84 | 99.84 | 99.84 | 99.83 | 99.84 | 99.84 | 0.006 | ANN | 25 | 99.81 | 99.81 | 99.81 | 99.81 | 99.81 | 99.82 | 99.81 | 0.389 | SVM | 28 | 96.02 | 96.02 | 96.02 | 96.02 | 96.28 | 96.01 | 96.03 | 0.011 | RF | 18 | 66.63 | 66.63 | 66.63 | 66.63 | 67.49 | 65.95 | 65.66 | 0.049 | KNN | 22 | 87.48 | 87.48 | 87.48 | 87.48 | 87.45 | 87.50 | 87.46 | 1710.521 |
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