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Machine learning model for predicting the 5-year recurrence risk in breast cancer patients with low-positive HER2 expression.
| Data set | AUC | 95% CI | Sensitivity (%) | Specificity (%) | PPV (%) | NPV (%) |
| Training set | 0.983 | 0.977–0.990 | 98.6 | 77.9 | 29.9 | 99.8 |
| Test set | 0.815 | 0.750–0.880 | 78.3 | 71.0 | 73.0 | 76.6 |
AUC: Area under the receiving operator characteristic curve; CI: Confidence interval; HER2: Human epidermal growth factor receptor 2; NPV: Negative predictive value; PPV: Positive predictive value.
