Machine Learning MCQ Questions with answers and solutions Page 22

Q. How does the bias-variance decomposition of a ridge regression estimator compare with that of ordinary least squares regression?

(A) ridge has larger bias, larger variance
(B) classification problems require the output attribute to be categorical.
(C) ridge has larger bias, smaller variance
(D) ridge has smaller bias, smaller variance

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✅ Correct Answer: (C) ridge has larger bias, smaller variance

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

Q. What is the precision value for following confusion matrix of binary classification?

(A) 0.91
(B) by creating new rules
(C) 0.9
(D) 0.95

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✅ Correct Answer: (B) by creating new rules

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

Q. Multinomial Nave Bayes Classifier is . . . . . . . . distribution

(A) continuous
(B) discrete
(C) binary
(D) none of these

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✅ Correct Answer: (B) discrete

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

Q. Which of the following statements about Naive Bayes is incorrect?

(A) Attributes are equally important.
(B) Attributes are statistically dependent of one another given the class value.
(C) Attributes are statistically independent of one another given the class value.
(D) Attributes can be nominal or numeric

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✅ Correct Answer: (B) Attributes are statistically dependent of one another given the class value.

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

Q. In Apriori algorithm, if 1 item-sets are 100, then the number of candidate 2 item-sets are

(A) 100
(B) 200
(C) 4950
(D) 5000

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✅ Correct Answer: (C) 4950

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

Q. Generally, an ensemble method works better, if the individual base models have . . . . . . . .?
Note: Suppose each individual base models have accuracy greater than 50%.

(A) less correlation among predictions
(B) high correlation among predictions
(C) correlation does not have any impact on ensemble output
(D) none of the above

💬 Discuss

✅ Correct Answer: (A) less correlation among predictions

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

Q. Techniques involve the usage of both labeled and unlabeled data is called . . . . . . . .

(A) Supervised
(B) Semi-supervised
(C) Unsupervised
(D) None of the above

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✅ Correct Answer: (B) Semi-supervised

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

Q. True or False: Ensemble learning can only be applied to supervised learning methods.

(A) TRUE
(B) kernelpca
(C) ---
(D) ---

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✅ Correct Answer: (B) kernelpca

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

Q. If two variables are correlated, is it necessary that they have a linear relationship?

(A) Yes
(B) id3
(C) ---
(D) ---

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✅ Correct Answer: (B) id3

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

Q. Let's say, a "Linear regression" model perfectly fits the training data (train error is zero). Now, Which of the following statement is true?

(A) You will always have test error zero
(B) You can not have test error zero
(C) Both A and B
(D) None of these

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✅ Correct Answer: (C) Both A and B

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

Machine Learning MCQs with answers Page - 22

Q. How does the bias-variance decomposition of a ridge regression estimator compare with that of ordinary least squares regression?

Q. What is the precision value for following confusion matrix of binary classification?

Q. Multinomial Nave Bayes Classifier is . . . . . . . . distribution

Q. Which of the following statements about Naive Bayes is incorrect?

Q. In Apriori algorithm, if 1 item-sets are 100, then the number of candidate 2 item-sets are

Q. Generally, an ensemble method works better, if the individual base models have . . . . . . . .?
Note: Suppose each individual base models have accuracy greater than 50%.

Q. Techniques involve the usage of both labeled and unlabeled data is called . . . . . . . .

Q. True or False: Ensemble learning can only be applied to supervised learning methods.

Q. If two variables are correlated, is it necessary that they have a linear relationship?

Q. Let's say, a "Linear regression" model perfectly fits the training data (train error is zero). Now, Which of the following statement is true?

Programming Categories

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Machine Learning MCQs with answers Page - 22

Q. How does the bias-variance decomposition of a ridge regression estimator compare with that of ordinary least squares regression?

Q. What is the precision value for following confusion matrix of binary classification?

Q. Multinomial Nave Bayes Classifier is . . . . . . . . distribution

Q. Which of the following statements about Naive Bayes is incorrect?

Q. In Apriori algorithm, if 1 item-sets are 100, then the number of candidate 2 item-sets are

Q. Generally, an ensemble method works better, if the individual base models have . . . . . . . .? Note: Suppose each individual base models have accuracy greater than 50%.

Q. Techniques involve the usage of both labeled and unlabeled data is called . . . . . . . .

Q. True or False: Ensemble learning can only be applied to supervised learning methods.

Q. If two variables are correlated, is it necessary that they have a linear relationship?

Q. Let's say, a "Linear regression" model perfectly fits the training data (train error is zero). Now, Which of the following statement is true?

Programming Categories

📱 Download Our App

Q. Generally, an ensemble method works better, if the individual base models have . . . . . . . .?
Note: Suppose each individual base models have accuracy greater than 50%.