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Positive rate distribution across different cancer types.
This false positive rate needs to be more carefully studied.
It had a 1percentt false positive rate.
The false positive rate is also known as (1-sensitivity).
In comparison, the best unweighted threshold rule provides only 60% true positive rate at the same false positive rate.
ROC curve plots true positive rate against false positive rate, evaluated on a certain population.
Similar(7)
Statistical analysis showing TUNEL-positive rate.
The report did not specify an actual false-positive rate.
And the tests have a high false-positive rate that may lead to unnecessary biopsies.
Cluster-failure: why fMRI inferences for spatial extent have inflated false-positive rate.
FDcov gets a 47% true-positive rate.
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