false positive vs false negative

http://www.csie.nctu.edu.tw/~chlo/web/docs/doc/data/cs/9.htm

http://en.wikipedia.org/wiki/False_positive
A false positive, also called a Type I error, exists when a test
incorrectly reports that it has found a result where none really
exists.

http://en.wikipedia.org/wiki/False_negative
In statistics, a false negative, also called a Type II error or miss,
exists when a test incorrectly reports that a result was not
detected, when it was really present.

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用網路安全來看

誤報: 明明沒有漏洞卻說有 -> false positive

漏報: 明明有漏洞卻說沒有 -> false negative

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false positive: 明明沒有卻說有

false negative: 明明有卻說沒有

example:

"芭樂消息"
-> false positive

"此地無銀三百兩"
-> false negative

"嘴巴說不要, 身體到是挺老實的嘛"
-> false negative