Research Article
Biosensor-Assisted Method for Abdominal Syndrome Classification Using Machine Learning Algorithm
Table 5
Proposed algorithm parameters.
| Trials | No. of neurons in the hidden layer | Amount of test EGG classified (50 each) | Total | Correct classification (%) | Normal | Abnormality | Dyspepsia | Tachygastria | Nausea | Vomiting | Ulcer | Bradygastria |
| 1st | 9 | 44 | 39 | 43 | 46 | 34 | 27 | 48 | 372 | 77.43 | 2nd | 22 | 43 | 37 | 43 | 39 | 48 | 39 | 49 | 398 | 86.24 | 3rd | 23 | 36 | 33 | 33 | 30 | 43 | 47 | 43 | 333 | 63.72 | 4th | 24 | 46 | 40 | 39 | 43 | 48 | 46 | 44 | 303 | 86.67 | 5th | 26 | 46 | 42 | 48 | 44 | 49 | 38 | 60 | 326 | 95.00 | 6th | 26 | 43 | 40 | 43 | 46 | 60 | 44 | 60 | 326 | 90.00 | 7th | 27 | 43 | 43 | 44 | 46 | 48 | 44 | 49 | 326 | 90.00 |
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