False null hypothesis is also known as "false negative", and true null hypothesis is also known as "false positive".
A false negative is when a wrong hypothesis gets accepted, and false positive is when a correct hypothesis gets rejected.
A false positive is when a normal file is thought to be a virus, and a false negative is when a virus is thought to be a normal file.
To learn about hypothesis testing, visit this link.
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