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  1. 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.

  2. May 2, 2024 · What You Should Know About False Positive Test Results. False positive refers to a test result that tells you a disease or condition is present, when in reality, there is no disease. A false positive result is an error, which means the result is not giving you the correct information.

  3. Mar 1, 2024 · A new report showed that persistent false-positive rapid antigen test results might be more common in women and people with autoimmune disorders. But what does it mean if you keep getting a positive COVID test when you really don't have it?

  4. Nov 29, 2023 · Key Takeaways. A false-positive result means the test says you have an illness when you really don’t. You can get a false positive on a rapid COVID-19 test, but it’s not common. Experts say certain factors raise your risk of getting a false-positive COVID-19 test.

  5. Oct 28, 2022 · Causes. Accuracy. Reducing the risk. Taking the test. Next steps. Summary. A false positive result is possible with a rapid COVID-19 test. It happens when a person does not have COVID-19 but...

  6. Jul 18, 2022 · A false positive is an outcome where the model incorrectly predicts the positive class. And a false negative is an outcome where the model incorrectly predicts the negative...

  7. Mar 23, 2016 · An incorrect result is called a false positive test if it incorrectly reports the presence of a condition or abnormality, or a false negative if it incorrectly reports the absence of a condition.

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