Machine Learning - Practice Test

[#171] Multinomial Nave Bayes Classifier is . . . . . . . . distribution

(A) continuous

(B) discrete

(C) binary

(D) none of these

(E) continuous

(F) discrete

(G) binary

(H) none of these

Correct Answer

(B) discrete
(F) discrete

[#172] 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

(E) Attributes are equally important.

(F) Attributes are statistically dependent of one another given the class value.

(G) Attributes are statistically independent of one another given the class value.

(H) Attributes can be nominal or numeric

Correct Answer

(B) Attributes are statistically dependent of one another given the class value.
(F) Attributes are statistically dependent of one another given the class value.

[#173] 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

(E) 100

(F) 200

(G) 4950

(H) 5000

Correct Answer

(C) 4950
(G) 4950

[#174] 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

(E) less correlation among predictions

(F) high correlation among predictions

(G) correlation does not have any impact on ensemble output

(H) none of the above

Correct Answer

(A) less correlation among predictions
(E) less correlation among predictions

[#175] Techniques involve the usage of both labeled and unlabeled data is called . . . . . . . .

(A) Supervised

(B) Semi-supervised

(C) Unsupervised

(D) None of the above

(E) Supervised

(F) Semi-supervised

(G) Unsupervised

(H) None of the above

Correct Answer

(B) Semi-supervised
(F) Semi-supervised

Machine Learning - Study Mode

[#171] Multinomial Nave Bayes Classifier is . . . . . . . . distribution

Correct Answer

[#172] Which of the following statements about Naive Bayes is incorrect?

Correct Answer

[#173] In Apriori algorithm, if 1 item-sets are 100, then the number of candidate 2 item-sets are

Correct Answer

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

Correct Answer

[#175] Techniques involve the usage of both labeled and unlabeled data is called . . . . . . . .

Correct Answer