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| predicted | |||
|---|---|---|---|
| Cancer | No cancer | ||
| measured | Cancer | 29 | 4 |
| No cancer | 3 | 12 | |
| Sensitivity (%) | 88 | ||
| Specificity (%) | 80 | ||
| Accuracy (%) | 85 | ||
Classification success of the PLS-DA classification model to predict breast cancer cell lines-derived samples from all other. Sensitivity = TP/(TP + FN); specificity = TN/(TN + FP); accuracy = (TP + TN)/(TP + TN + FP + FN).
Where TP = True Positive; TN = True Negative; FP = False Positive; FN = False Negative.
