False positives and false negatives
types 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
(Redirected from False positive)
False positives and negatives are words related with practical testing. When performing a practical test, there is the possibility that the result of the test does not show the real situation.
In a test, a false positive is when a test result shows that a condition is present – but it is not. A false negative is when a test result shows a condition is not present when in fact it is present.
Related pages
change- Type I and type II errors describe the same condition when it occurs in a statistical test
