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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 calculated as the ratio between the number of negative events wrongly categorized as positive (false positives) and the total number of actual negative events (regardless of classification). The false positive rate (or "false alarm rate") usually refers to the expectancy of the false positive ratio.

  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. Sensitivity and specificity - Wikipedia

    en.wikipedia.org/wiki/Sensitivity_and_specificity

    The true positive in this figure is 6, and false negatives of 0 (because all positive condition is correctly predicted as positive). Therefore, the sensitivity is 100% (from 6 / (6 + 0) ). This situation is also illustrated in the previous figure where the dotted line is at position A (the left-hand side is predicted as negative by the model ...

  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. 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.

  9. "False positives" scandal - Wikipedia

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

    The "false positives" scandal (Spanish: Escándalo de los falsos positivos) was a series of murders in Colombia, part of the armed conflict in that country between the government and guerrilla forces of the FARC and the ELN. Members of the military and their civilian collaborators lured poor or mentally impaired civilians to remote parts of the ...