A ham that's incorrectly classified as spam. Also abbreviated as "fp" or "FP".
a Pap smear or colposcopy result that mistakenly reports the presence of abnormal cells
False positives happen when a segment, or string of code, has qualities similar to a virus. Sometimes this is simply an accident, due to a faulty scanner, or it can happen if an incomplete disinfection is done by the anti-virus scanner. The main problem with false positives is more than mere annoyance. They can cause users to ignore legitimate warnings, if too many unnecessary warnings have occurred. It is important to discover the reason for the false positive, and this can be done by sending the file to the anti-virus vendors laboratory for analysis. Anti-virus software that includes behaviour blocking, or uses heuristics, has been known to cause false positives, so it is important that users only choose this type of product if they think it right and necessary for them. Vendors are working on ways to deal with these problems, and it is worthwhile to keep up to date on innovations being made.
A test result that wrongly shows an effect to be present.
A report of an attack or attempted attack when no vulnerability existed or no compromise occurred.
A false positive is an email that has been marked as spam but isn't really spam. Related Words: False Negative.
a result that is erroneously positive (abnormal) when a situation is normal.
Some women are told that tests have shown that their baby may have a problem. If further tests then show that this is not the case, that result is called a false positive.
Does not have the abnormality or disease and is incorrectly classified by the test.
Occurs when the system classifies an action as anomalous (a possible intrusion) when it is a legitimate action.
A legitimate email that is not delivered because a spam filter incorrectly identifies it as junk mail.
When a legitimate email is mistakenly blocked by the limitations in current filters and email blocking techniques.
Term used to describe a test result that wrongly or inaccurately shows the presence of a disease or other conditions when none exist.
a data point which is classified as positive and it is negative and conversely for false negatives
a good message mistakenly identified as spam
a legitimated message incorrectly identified as spam and caught in the filter
a legitimate email, but which was recognized by an email filtering solution (usually an anti-spam filter) incorrectly as illegitimate email and withheld from your inbox
a legitimate email identified as SPAM by AntiSpam software
a legitimate e-mail message that's mistakenly been identified as spam
a legitimate message that has been incorrectly identified as spam by an anti-spam filtering solution
a legitimate message that the SPAM filter suspected as SPAM
a message identified by spam filters as a spam email even though it is from a legitimate or known source
a message that is identified incorrectly as one of the filtered categories
an alert for a chemical warfare agent that is not present
an email message from a requested sender that was wrongly tagged as spam and sent to a bulk folder
an email that is designated as spam, but it's actually something you wanted to receive
an incorrectly classified non-spam item
a positive test result in a person who does not actually have the disorder
a statistical test where a diagnostic test identifies the presence of a condition in a sample that is identified by a gold standard as not having that condition
a blood test for HIV that shows the presence of HIV in a person who does not have HIV; this happens when the test detects antibodies to another organism.
when a screening test suggests that a baby has a high risk of a condition which it later turns out not to have.
The incorrect identification of an email message as sspam (i.e., a message tested positive for spam but the results were false). Overly agressive or careless blocking and filtering strategies cause many legitimate permission-based email messages to blocked or filtered and can be a significant problem for email marketers.
A test result that incorrectly says the analyte, disease, or condition is present when it is actually not present. False positives can be due to human error, test error, or substances in the sample that interfere with the test. EXAMPLE: A woman who is not pregnant woman receives a test result saying she is pregnant.
A test result that wrongly indicates the presence of a condition when the condition is not present.
The rate of occurrence of positive test results in tests of individuals known to be free of a disease or disorder for which the individual is being tested.
Occurs when a legitimate permission-based e-mail is incorrectly filtered or blocked as spam. HTML-sniffer Technology embedded in e-mail software that enables it to determine if recipients can receive HTML content.
The situation that occurs when a test indicates that the person being assessed has a disease which they do not.
relating to or being an individual or a test result that is erroneously classified in a positive category (as of diagnosis) because of imperfect testing methods or procedures.
When spam-filtering devices inaccurately identify legitimate email as spam.
This occurs when a spam filter mistakes wanted email for spam and blocks it from you.
Legitimate permission-based email that is erroneously blocked due to the limitations of current email blocking and filtering techniques. False positives are an industry wide problem. Currently, 17% of permission-based email is erroneously blocked.
A legitimate email message that is mistakenly rejected or filtered by a spam filter.
The erroneous classification of an action as anomalous (a possible intrusion) when it is, in fact, legitimate and benign.
A legitimate message mistakenly rejected or filtered as spam, either by an ISP or a recipient's anti-spam program. The more stringent an anti-spam program, the higher the false-positive rate.
When a test wrongly shows an effect or condition to be present (e.g. that is woman is pregnant when, in fact, she is not).
A false positive occurs when a chemical warfare agent detector falsely indicates the presence of a chemical warfare agent.[78
When someone tests positive for a condition that they do not have.
A test result that is read as positive when the disease is not present.
A determination of toxicity when the material is in fact nontoxic. Hypothesis Testing: A statistical technique (e.g. Dunnett¡s test) for determining whether a tested concentration is statistically different from the control. Endpoints determined from hypothesis testing are NOEC and LOEC. The two hypotheses commonly tested in WET are: Null Hypothesis (Ho): The effluent is not toxic. Alternate hypothesis (Ha ): The effluent is toxic. (EPA, 2000).
An email that is marked as spam, even though it is legitimate.
A false positive error occurs when anti-virus software wrongly claims a virus infects a clean file. False positives usually occur when the string chosen for a given virus signature is also present in another program. See Also: False Negative
an incorrectly positive answer on a given medical test. This gives the physician the impression that a given disease state has been identified, but this is not true
A false positive when a system classifies an action as a possible intrusion when it is a legitimate action.
test result implying a condition exists when in fact it does not.
A situation in which a signature is fired incorrectly.
An erroneous result of a drug test that indicates the presence of a drug that is actually absent.
an experimental outcome that incorrectly yields a positive result. False positives can frustrate assessing the performance of lead compounds.
A false positive occurs when there is no attack and the product raises an alarm. This case can be problematic because administrators, facing a false positive, might take unnecessary actions. By definition, the administrators do not know that this is a false positive when the IDS is their only source of information. After some time, they might deduce that this specific alert seldom originates from an attack and, therefore, starts to ignore alarms. However, in this process, Tivoli Risk Manager might ignore real attacks as well.
A positive test result that mistakenly identifies a state or condition that does not in fact exist.
An erroneous decision that an examinee is being deceptive when the examinee is actually being truthful.
A false positive occurs when a scanner identifies a file as infected when in fact it is not.
This means a test has shown that a disease is present when it is not.
In the anti-spam application, when useful email winds up in the junk mailbox.
False positives can fall into several categories. In an effort to sell software, unscrupulous antispyware programs often will mislead a user into believing his or her machine is infected with spyware when no problems actually exist. The term false positive also can be used when legitimate antispyware applications mistakenly label a benign program as a threat.
Abnormal test results in a blood sample of a normal person not suspected to be sick.
A test result that is not correct. This may be a result of performing the test incorrectly or using a test that is not accurate. A false positive test in HIV would be a test that is positive in a person who is not infected. For this reason, a second confirmatory test is recommended when a person tests HIV positive.
Een false positive is wanneer uw anti-spam software legitieme mail identificeerd als spam. SPAMfighter heeft een automatische "real mail" bescherming, wat betekent geen false positives.