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Confusion matrix for performance of implemented algorithm.
| Total population 455 |
Condition positive | Condition negative | Prevalence 91.64% |
||
|---|---|---|---|---|---|
| Test outcome | Test outcome positive | 416 | 0 |
Positive predictive value 100% |
False discovery rate 0.00% |
| Test outcome negative | 2 | 37 |
False omission rate 5.13% |
Negative predictive value 94.87% |
|
|
True positive rate 99.52% |
False positive rate 0.00% |
Accuracy 99.56% |
|||
|
False negative rate 0.48% |
True negative rate 100% |
||||
