Question

If a hypothesis says it should be positive, but in fact, it is negative, we call it __________

(a) A consistent hypothesis

(b) A false negative hypothesis

(c) A false positive hypothesis

(d) A specialized hypothesis

I got this question by my college director while I was bunking the class.

My question is taken from Learning in portion Learning of Artificial Intelligence

Answer 1

Right choice is (c) A false positive hypothesis

To explain I would say: Consistent hypothesis go with examples, If the hypothesis says it should be negative but infect it is positive, it is false negative. If a hypothesis says it should be positive, but in fact, it is negative, it is false positive. In a specialized hypothesis we need to have certain restrict or special conditions.