Machine Learning MCQ Questions with answers and solutions Page 28

Q. What are support vectors?

(A) all the examples that have a non-zero weight αk in a svm
(B) 1, 2 and 3
(C) all of the above
(D) none of the above

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✅ Correct Answer: (C) all of the above

Published by Mr. Dubey ⭐ 111.54K Points at 26-Apr-2024 12:22 pm in Machine Learning

Q. Which of the following can act as possible termination conditions in K-Means?
1. For a fixed number of iterations.
2. Assignment of observations to clusters does not change between iterations. Except for cases with a bad local minimum.
3. Centroids do not change between successive iterations.
4. Terminate when RSS falls below a threshold.

(A) 1, 3 and 4
(B) root node
(C) 1, 2 and 4
(D) 1,2,3,4

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✅ Correct Answer: (D) 1,2,3,4

Published by Mr. Dubey ⭐ 111.54K Points at 26-Apr-2024 12:22 pm in Machine Learning

Q. True or False: Ensembles will yield bad results when there is significant diversity among the models. Note: All individual models have meaningful and good predictions.

(A) TRUE
(B) 1 and 3
(C) ---
(D) ---

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✅ Correct Answer: (B) 1 and 3

Published by Mr. Dubey ⭐ 111.54K Points at 26-Apr-2024 12:22 pm in Machine Learning

Q. Which of the following is / are true about weak learners used in ensemble model?
1. They have low variance and they don't usually overfit
2. They have high bias, so they can not solve hard learning problems
3. They have high variance and they don't usually overfit

(A) 1 and 2
(B) Gini Index
(C) 2 and 3
(D) none of these

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✅ Correct Answer: (A) 1 and 2

Published by Mr. Dubey ⭐ 111.54K Points at 26-Apr-2024 12:22 pm in Machine Learning

Q. According to . . . . . . . . , it's a key success factor for the survival and evolution of all species.

(A) Claude Shannon's theory
(B) inclusive
(C) Darwin's theory
(D) None of above

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✅ Correct Answer: (C) Darwin's theory

Published by Mr. Dubey ⭐ 111.54K Points at 26-Apr-2024 12:22 pm in Machine Learning

Q. In a Rule based classifier, If there is a rule for each combination of attribute values, what do you called that rule set R

(A) exhaustive
(B) market-basket analysis
(C) comprehensive
(D) mutually exclusive

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✅ Correct Answer: (A) exhaustive

Published by Mr. Dubey ⭐ 111.54K Points at 26-Apr-2024 12:22 pm in Machine Learning

Q. Which of the following classifications would best suit the student performance classification systems?

(A) if...then... analysis
(B) it is used for prediction.
(C) regression analysis
(D) cluster analysis

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✅ Correct Answer: (A) if...then... analysis

Published by Mr. Dubey ⭐ 111.54K Points at 26-Apr-2024 12:22 pm in Machine Learning

Q. Which of the following sentence is FALSE regarding regression?

(A) it relates inputs to outputs.
(B) y is true when x is known to be true.
(C) it may be used for interpretation.
(D) it discovers causal relationships.

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✅ Correct Answer: (D) it discovers causal relationships.

Published by Mr. Dubey ⭐ 111.54K Points at 26-Apr-2024 12:22 pm in Machine Learning

Q. Given a rule of the form IF X THEN Y, rule confidence is defined as the conditional probability that Select one:

(A) y is false when x is known to be false.
(B) hidden
(C) x is true when y is known to be true
(D) x is false when y is known to be false.

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✅ Correct Answer: (B) hidden

Published by Mr. Dubey ⭐ 111.54K Points at 26-Apr-2024 12:22 pm in Machine Learning

Q. Database query is used to uncover this type of knowledge.

(A) deep
(B) feature
(C) shallow
(D) multidimensional

💬 Discuss

✅ Correct Answer: (D) multidimensional

Published by Mr. Dubey ⭐ 111.54K Points at 26-Apr-2024 12:22 pm in Machine Learning

Machine Learning MCQs with answers Page - 28

Q. What are support vectors?

Q. True or False: Ensembles will yield bad results when there is significant diversity among the models. Note: All individual models have meaningful and good predictions.

Q. Which of the following is / are true about weak learners used in ensemble model?
1. They have low variance and they don't usually overfit
2. They have high bias, so they can not solve hard learning problems
3. They have high variance and they don't usually overfit

Q. According to . . . . . . . . , it's a key success factor for the survival and evolution of all species.

Q. In a Rule based classifier, If there is a rule for each combination of attribute values, what do you called that rule set R

Q. Which of the following classifications would best suit the student performance classification systems?

Q. Which of the following sentence is FALSE regarding regression?

Q. Given a rule of the form IF X THEN Y, rule confidence is defined as the conditional probability that Select one:

Q. Database query is used to uncover this type of knowledge.

Programming Categories

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Machine Learning MCQs with answers Page - 28

Q. What are support vectors?

Q. True or False: Ensembles will yield bad results when there is significant diversity among the models. Note: All individual models have meaningful and good predictions.

Q. Which of the following is / are true about weak learners used in ensemble model? 1. They have low variance and they don't usually overfit 2. They have high bias, so they can not solve hard learning problems 3. They have high variance and they don't usually overfit

Q. According to . . . . . . . . , it's a key success factor for the survival and evolution of all species.

Q. In a Rule based classifier, If there is a rule for each combination of attribute values, what do you called that rule set R

Q. Which of the following classifications would best suit the student performance classification systems?

Q. Which of the following sentence is FALSE regarding regression?

Q. Given a rule of the form IF X THEN Y, rule confidence is defined as the conditional probability that Select one:

Q. Database query is used to uncover this type of knowledge.

Programming Categories

📱 Download Our App

Q. Which of the following is / are true about weak learners used in ensemble model?
1. They have low variance and they don't usually overfit
2. They have high bias, so they can not solve hard learning problems
3. They have high variance and they don't usually overfit