Artificial Intelligence MCQs with Answers
Practice important Artificial Intelligence MCQs with answers and explanations.
Multiple Choice Questions
Q1111: What is a limitation of FIND-S in real-world data?
- A: It handles noise well
- B: It finds all consistent hypotheses
- C: It assumes consistent data
- D: It handles both positive and negative examples well
View Answer
C
Q1112: What will be the final hypothesis h after processing examples (<H,H>,1), (<L,L>,0), (<N,H>,1)?
- A: <Ø, Ø>
- B:
- C:
- D:
View Answer
D
Q1113: The FIND-S algorithm always outputs the ________ hypothesis consistent with the positive examples.
- A: Maximally general
- B: Maximally specific
- C: Average
- D: Random
View Answer
B
Q1114: In FIND-S, hypothesis h is initialized with the most _________ hypothesis.
- A: general
- B: specific
- C: accurate
- D: complete
View Answer
B
Q1115: FIND-S replaces each Ø in the initial hypothesis with the _________ attribute value of the first positive example.
- A: least frequent
- B: random
- C: specific
- D: exact
View Answer
D
Q1116: FIND-S replaces attribute values that conflict with new positive examples with ________.
- A: Ø
- B: ?
- C: *
- D: #
View Answer
B
Q1117: FIND-S works by moving from ______ to ______ in the hypothesis space.
- A: general, specific
- B: specific, general
- C: specific, random
- D: general, random
View Answer
B
Q1118: FIND-S fails to identify all hypotheses in the ________.
- A: positive set
- B: hypothesis list
- C: version space
- D: negative list
View Answer
C
Q1119: FIND-S is an example of _______ learning.
- A: unsupervised
- B: reinforcement
- C: inductive
- D: supervised
View Answer
D
Q1120: The version space includes ________ hypotheses consistent with training examples.
- A: some
- B: all
- C: few
- D: no
View Answer
B