| false negative |
A false negative, also called a miss, exists when a test reports, incorrectly, that a signal was not detected when, in fact, was present. Detection algorithms of all kinds often create misses. For example, if a radar does not detect an enemy air plane when an enemy air plane is present within the radar scanned area, that is a false negative. In statistical hypothesis testing, a false negative test which accepts the null hypothesis when it is false is called a Type II error. ...
출처: en.wikipedia.org/wiki/False_negative
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| false positive |
A false positive, also called false alarm, exists when a test reports, incorrectly, that it has found a signal where none exists in reality. Detection algorithms of all kinds often create false alarms. For example, optical character recognition (OCR) software may detect an 'a' where there are only some dots that look like an a to the algorithm being used. In statistical hypothesis testing, a false positive test which rejects the null hypothesis when it is true is called a Type I error. ...
출처: en.wikipedia.org/wiki/False_positive
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| false positive |
a result that is erroneously positive (abnormal) when a situation is normal.
출처: www.geocities.com/HotSprings/3982/dictionary.html
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| false negative |
Does have the abnormality or disease and is incorrectly classified by the test.
출처: www.cdc.gov/genomics/gtesting/ACCE/FBR/CF/CFGlossa...
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| false positive |
Does not have the abnormality or disease and is incorrectly classified by the test.
출처: www.cdc.gov/genomics/gtesting/ACCE/FBR/CF/CFGlossa...
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