false positives and false negatives
Sign in to savetypes of error in data reporting, where false positive is an error in which a test result incorrectly indicates the presence of a condition, while a false negative is the opposite error where the test fails to indicate the actual presence
Wikidata facts
- Subclass of
- type I and type II errors
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- studied by
- epidemiology
- permanent duplicated item
- type I and type II errors
- facet of
- binary classification
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