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
Facts
5 properties- Instance of
- duality
- Subclass of
- type I and type II errors[2]
- Facet of
- binary classification[3]
- Permanent duplicated item
- type I and type II errors[5]
- Studied by
- epidemiology[4]
🏷️ Also known as
en false positives and false negatives
ar الإيجابية الكاذبة والسلبية الكاذبة
cs falešná pozitiva
cs falešná pozitiva a falešná negativa
cs falešně negativní
cs falešné negativum
cs falešně pozitivní
cs falešné pozitivum
cs falešné pozitivum a falešné negativum
cs falešná negativa
es falso positivo y falso negativo
fa مثبت کاذب و منفی کاذب
he חיובי כוזב ושלילי כוזב
he תוצאה חיובית שגויה ותוצאה שלילית שגויה
hi झूठी सकारात्मक और झूठी नकारात्मक
id Positif palsu dan negatif palsu
it falso positivo e falso negativo
ja 偽陽性と偽陰性
ko 거짓 양성과 거짓 음성
nl fout-positief en fout-negatief
🔖 Identifiers · 3
- OpenAlex ID
- C112789634, C2909814700
- BBC Things ID
- f77286f7-c20b-41a0-8b58-91e7d0643700
- Microsoft Academic ID (discontinued)
- 112789634
🔗 Connections
Facet of 1
Permanent duplicated item 1
Studied by 1
Subclass of 1
← Has characteristic 1
← Permanent duplicated item 1
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Summary
false positives and false negatives is a duality[1].