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- False positive is a term used to describe an error in binary classification in which a test result incorrectly indicates the presence of a condition12. For example, a false positive is when a person is wrongly diagnosed with a disease that they do not have. In statistical hypothesis testing, a false positive is also known as a type I error, which is the mistaken rejection of an actually true null hypothesis3.Learn more:✕This summary was generated using AI based on multiple online sources. To view the original source information, use the "Learn more" links.A false positive is an error in binary classification in which a test result incorrectly indicates the presence of a condition (such as a disease when the disease is not present), while a false negative is the opposite error, where the test result incorrectly indicates the absence of a condition when it is actually present.en.wikipedia.org/wiki/False_positives_and_false_n…False positive, diterjemahkan bebas sebagai "positif palsu", biasanya disebabkan algoritme suatu program yang menyatakan adanya suatu gejala/sinyal/objek yang sebetulnya tidak ada. Disebut juga dengan false alarm.id.wikipedia.org/wiki/False_positiveIn statistical hypothesis testing, a type I error is the mistaken rejection of an actually true null hypothesis (also known as a "false positive" finding or conclusion; example: "an innocent person is convicted"), while a type II error is the failure to reject a null hypothesis that is actually false (also known as a "false negative" finding or conclusion; example: "a guilty person is not convicted").en.wikipedia.org/wiki/Type_I_and_type_II_errors
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False positives and false negatives - Wikipedia
A false positive is an error in binary classification in which a test result incorrectly indicates the presence of a condition (such as a disease when the disease is not present), while a false negative is the opposite error, where the test result incorrectly indicates the absence of a condition when it is … See more
A false positive error, or false positive, is a result that indicates a given condition exists when it does not. For example, a pregnancy test which indicates a woman is pregnant when she … See more
False positive and false negative rates
The false positive rate (FPR) is the proportion of all negatives that still yield positive test … See moreA false negative error, or false negative, is a test result which wrongly indicates that a condition does not hold. For example, when a pregnancy test indicates a woman is not pregnant, but … See more
Wikipedia text under CC-BY-SA license False positives and false negatives - Simple English Wikipedia, …
False Positives and False Negatives - Definition and …
WebDefinition and explanation. False positives and negatives occur when the outcome of an experiment does not accurately reflect what happened in reality. Suppose you are going through airport security and, being the …
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