Table 2.
Diagnostic performance of machine-learning model according to SCCmec types.
| SCCmec Types | AMRQuest (v. 2.1) | Total | Accuracy | |
|---|---|---|---|---|
| MRSA | MSSA | |||
| II | 62 | 3 | 65 | 95.4% |
| IV | 3 | 11 | 14 | 21.4% |
| IVA | 25 | 1 | 26 | 96.1% |
| V | 0 | 1 | 1 | 0.0% |
| MSSA | 8 | 80 | 88 | 90.9% |
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