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
In the Vinony graph
Within Vinony's link graph, false positives and false negatives is referenced by 566 other articles, and connects out to type I and type II errors, sensitivity and specificity and binary classification.
It is catalogued under topics including Medical error, Medical tests and Statistical classification.
Its subject is documented across 19 Wikipedia language editions.
Wikidata facts
- Subclass of
- type I and type II errors
Show 3 more facts
- studied by
- epidemiology
- permanent duplicated item
- type I and type II errors
- facet of
- binary classification
Sources (2)
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