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Cross-validation accuracy for logistic regression
| No. of cases | No. of CV errors* | Accuracy* | Sensitivity* | Specificity* | auROC | |
|---|---|---|---|---|---|---|
| Cancerous vs other | 20 vs 18 | 4 | 89% | 90% | 89% | 91% |
| Invasive vs other | 10 vs 28 | 3 | 92% | 80% | 96% | 95% |
| Invasive vs non-cancerous | 10 vs 18 | 0 | 100% | 100% | 100% | 100% |
auROC = area under the receiver operating characteristics curve.
Binary predictions obtained by a 0.5 significance threshold.
