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Nov 29, 2019 in Machine Learning

Q: What is the difference between the Type I and Type II error?

1 Answer

Nov 29, 2019
Don’t think this as something high level of stuff, interviewers ask questions in such terms just to the know that you have all the bases and you are on the top.

Type I error is the false positive, while Type II is the  false negative. Type I error is claiming on something has to happened when it hasn’t. For the instance, telling an man he is pregnant. On the other hand, Type II error means you claim nothing is happened but in the  fact something . To exemplify, you tell an pregnant lady she isn’t carrying baby.
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