Research Article
Biosensor-Assisted Method for Abdominal Syndrome Classification Using Machine Learning Algorithm
Table 4
Analysis of performance metrics with proposed technique.
| S. No. | Input signals | Proposed technique | Precision | Sensitivity | Specificity | Input measure | Frequency (sec) | Overall accuracy (%) |
| 1 | 268 | 0.82 | 0.864 | 0.956 | 0.874 | 14 | 91.2 | 2 | 389 | 0.89 | 0.893 | 0.978 | 0.896 | 19 | 92.4 | 3 | 457 | 0.90 | 0.912 | 0.956 | 0.945 | 25 | 93.9 | 4 | 562 | 0.91 | 0.923 | 0.936 | 0.969 | 21 | 97.6 |
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