IBM Planning Analytics V2.0 Developer — Question 24

What is the definition of false positive in the context of measuring accuracy of a machine learning system?

Answer options

• A. The system returns a low confidence score for a correct answer.
• B. The system returns a high confidence score for an incorrect answer.
• C. The system returns only low confidence scores for all answers.
• D. The system returns only high confidence for all answers, both correct and incorrect.

Correct answer: A

Explanation

A false positive occurs when a system mistakenly identifies an incorrect answer as correct, which typically results in a high confidence score for that incorrect answer. Option A is not correct; it describes a low confidence score for a correct answer, which does not fit the definition of a false positive. Options C and D do not accurately represent the concept of false positives either, as they refer to confidence levels that don't align with the definition.