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  2. False positives and false negatives - Wikipedia

    en.wikipedia.org/wiki/False_positives_and_false...

    The false positive rate (FPR) is the proportion of all negatives that still yield positive test outcomes, i.e., the conditional probability of a positive test result given an event that was not present. The false positive rate is equal to the significance level. The specificity of the test is equal to 1 minus the false positive rate.

  3. False positive rate - Wikipedia

    en.wikipedia.org/wiki/False_positive_rate

    The false positive rate is = +. where is the number of false positives, is the number of true negatives and = + is the total number of ground truth negatives.. The significance level used to test each hypothesis is set based on the form of inference (simultaneous inference vs. selective inference) and its supporting criteria (for example FWER or FDR), that were pre-determined by the researcher.

  4. False Positive (film) - Wikipedia

    en.wikipedia.org/wiki/False_Positive_(film)

    False Positive is a 2021 American psychological horror film directed by John Lee from a screenplay he co-write with Ilana Glazer. The film stars Glazer, Justin Theroux , and Pierce Brosnan . False Positive had its world premiere at the Tribeca Film Festival on June 18, 2021 and was released in the United States by Hulu on June 25, 2021.

  5. Type I and type II errors - Wikipedia

    en.wikipedia.org/wiki/Type_I_and_type_II_errors

    One consequence of the high false positive rate in the US is that, in any 10-year period, half of the American women screened receive a false positive mammogram. False positive mammograms are costly, with over $100 million spent annually in the U.S. on follow-up testing and treatment. They also cause women unneeded anxiety. As a result of the ...

  6. Positive and negative predictive values - Wikipedia

    en.wikipedia.org/wiki/Positive_and_negative...

    The positive predictive value (PPV), or precision, is defined as = + = where a "true positive" is the event that the test makes a positive prediction, and the subject has a positive result under the gold standard, and a "false positive" is the event that the test makes a positive prediction, and the subject has a negative result under the gold standard.

  7. Base rate fallacy - Wikipedia

    en.wikipedia.org/wiki/Base_rate_fallacy

    An example of the base rate fallacy is the false positive paradox (also known as accuracy paradox). This paradox describes situations where there are more false positive test results than true positives (this means the classifier has a low precision). For example, if a facial recognition camera can identify wanted criminals 99% accurately, but ...

  8. "False positives" scandal - Wikipedia

    en.wikipedia.org/wiki/"False_positives"_scandal

    An article from "The Guardian" shows a 2018 study claiming a total of 10,000 "false positive" victims between 2002 and 2010. [5] The name of the scandal refers to the technical term of "false positive" which describes a test falsely detecting a condition that is not present. However, in armed conflicts such as this one, it refers to “The ...

  9. Binary classification - Wikipedia

    en.wikipedia.org/wiki/Binary_classification

    Given a classification of a specific data set, there are four basic combinations of actual data category and assigned category: true positives TP (correct positive assignments), true negatives TN (correct negative assignments), false positives FP (incorrect positive assignments), and false negatives FN (incorrect negative assignments).