Machine Learning MCQ Questions with answers and solutions Page 32

Q. A good clustering method will produce high quality clusters with

(A) high inter class similarity
(B) low intra class similarity
(C) high intra class similarity
(D) no inter class similarity

💬 Discuss

✅ Correct Answer: (C) high intra class similarity

Published by Mr. Dubey ⭐ 111.54K Points at 26-Apr-2024 12:23 pm in Machine Learning

Q. In SVM which has quadratic kernel function of polynomial degree 2 that has slack variable C as one hyper paramenter. What would happen if we use very large value for C

(A) we can still classify the data correctly for given setting of hyper parameter c
(B) we can not classify the data correctly for given setting of hyper parameter c
(C) we can not classify the data at all
(D) data can be classified correctly without any impact of c

💬 Discuss

✅ Correct Answer: (A) we can still classify the data correctly for given setting of hyper parameter c

Published by Mr. Dubey ⭐ 111.54K Points at 26-Apr-2024 12:23 pm in Machine Learning

Q. . . . . . . . . performs a PCA with non-linearly separable data sets.

(A) SparsePCA
(B) KernelPCA
(C) SVD
(D) None of the Mentioned

💬 Discuss

✅ Correct Answer: (B) KernelPCA

Published by Mr. Dubey ⭐ 111.54K Points at 26-Apr-2024 12:23 pm in Machine Learning

Q. True or False: Dropout is computationally expensive technique w.r.t. bagging

(A) TRUE
(B) not pure
(C) ---
(D) ---

💬 Discuss

✅ Correct Answer: (B) not pure

Published by Mr. Dubey ⭐ 111.54K Points at 26-Apr-2024 12:23 pm in Machine Learning

Q. High entropy means that the partitions in classification are

(A) pure
(B) no change
(C) useful
(D) useless

💬 Discuss

✅ Correct Answer: (B) no change

Published by Mr. Dubey ⭐ 111.54K Points at 26-Apr-2024 12:23 pm in Machine Learning

Q. In a simple linear regression model (One independent variable), If we change the input variable by 1 unit. How much output variable will change?

(A) by 1
(B) Deep learning
(C) by intercept
(D) by its slope

💬 Discuss

✅ Correct Answer: (D) by its slope

Published by Mr. Dubey ⭐ 111.54K Points at 26-Apr-2024 12:23 pm in Machine Learning

Q. . . . . . . . . showed better performance than other approaches, even without a context-based model

(A) Machine learning
(B) Variance
(C) Reinforcement learning
(D) Supervised learning

💬 Discuss

✅ Correct Answer: (B) Variance

Published by Mr. Dubey ⭐ 111.54K Points at 26-Apr-2024 12:23 pm in Machine Learning

Q. The SVM's are less effective when:

(A) The data is linearly separable
(B) The data is clean and ready to use
(C) The data is noisy and contains overlapping points
(D) None of these

💬 Discuss

✅ Correct Answer: (C) The data is noisy and contains overlapping points

Published by Mr. Dubey ⭐ 111.54K Points at 26-Apr-2024 12:23 pm in Machine Learning

Q. The process of forming general concept definitions from examples of concepts to be learned.

(A) deduction
(B) abduction
(C) induction
(D) conjunction

💬 Discuss

✅ Correct Answer: (C) induction

Published by Mr. Dubey ⭐ 111.54K Points at 26-Apr-2024 12:23 pm in Machine Learning

Q. What is 'Test set'?

(A) Test set is used to test the accuracy of the hypotheses generated by the learner.
(B) It is a set of data is used to discover the potentially predictive relationship.
(C) Both A & B
(D) None of above

💬 Discuss

✅ Correct Answer: (A) Test set is used to test the accuracy of the hypotheses generated by the learner.

Published by Mr. Dubey ⭐ 111.54K Points at 26-Apr-2024 12:23 pm in Machine Learning

Machine Learning MCQs with answers Page - 32

Q. A good clustering method will produce high quality clusters with

Q. In SVM which has quadratic kernel function of polynomial degree 2 that has slack variable C as one hyper paramenter. What would happen if we use very large value for C

Q. . . . . . . . . performs a PCA with non-linearly separable data sets.

Q. True or False: Dropout is computationally expensive technique w.r.t. bagging

Q. High entropy means that the partitions in classification are

Q. In a simple linear regression model (One independent variable), If we change the input variable by 1 unit. How much output variable will change?

Q. . . . . . . . . showed better performance than other approaches, even without a context-based model

Q. The SVM's are less effective when:

Q. The process of forming general concept definitions from examples of concepts to be learned.

Q. What is 'Test set'?

Programming Categories

📱 Download Our App