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Confusion Matrix and Testing Performance of the Model for Nerve Identification (Number of Nerve Structures, n = 132).
| Actual: positive (n) | Actual: negative (n) | ||
|---|---|---|---|
| Predicted: positive | TP (106) | FP (3) | |
| Predicted: negative | FN (8) | TN (15) | |
| Sensitivity: 92.98% | Specificity: 83.33% | Accuracy: 91.67% |
TP, true positive; FP, false positive; FN, false negative; TN, true negative.
