Machine Learning - Practice Test

[#326] How can we best represent 'support' for the following association rule: "If X and Y, then Z".

(A) $$frac{{{ ext{x}},{ ext{y}}}}{{{ ext{total number of transactions}}}}$$

(B) $$frac{z}{{{ ext{total number of transactions}}}}$$

(C) $$frac{z}{{{ ext{x,y}}}}$$

(D) $$frac{{{ ext{x}},{ ext{y,}},{ ext{z}}}}{{{ ext{total number of transactions}}}}$$

(E) $$frac{{{ ext{x}},{ ext{y}}}}{{{ ext{total number of transactions}}}}$$

(F) $$frac{z}{{{ ext{total number of transactions}}}}$$

(G) $$frac{z}{{{ ext{x,y}}}}$$

(H) $$frac{{{ ext{x}},{ ext{y,}},{ ext{z}}}}{{{ ext{total number of transactions}}}}$$

Correct Answer

(C) $$frac{z}{{{ ext{x,y}}}}$$
(G) $$frac{z}{{{ ext{x,y}}}}$$

[#327] With Bayes theorem the probability of hypothesis(H) specified by P(H) is referred to as

(A) a conditional probability

(B) an a priori probability

(C) a bidirectional probability

(D) a posterior probability

(E) a conditional probability

(F) an a priori probability

(G) a bidirectional probability

(H) a posterior probability

Correct Answer

(B) an a priori probability
(F) an a priori probability

[#328] Which of the following statement is true about outliers in Linear regression?

(A) Linear regression is sensitive to outliers

(B) Linear regression is not sensitive to outliers

(C) Can't say

(D) None of these

(E) Linear regression is sensitive to outliers

(F) Linear regression is not sensitive to outliers

(G) Can't say

(H) None of these

Correct Answer

(A) Linear regression is sensitive to outliers
(E) Linear regression is sensitive to outliers

[#329] Naive Bayes classifiers is . . . . . . . . Learning

(A) Supervised

(B) Unsupervised

(C) Both

(D) None

(E) Supervised

(F) Unsupervised

(G) Both

(H) None

Correct Answer

(A) Supervised
(E) Supervised

[#330] The distance between two points calculated using Pythagoras theorem is

(A) supremum distance

(B) eucledian distance

(C) linear distance

(D) manhattan distance

(E) supremum distance

(F) eucledian distance

(G) linear distance

(H) manhattan distance

Correct Answer

(B) eucledian distance
(F) eucledian distance

Machine Learning - Study Mode

[#326] How can we best represent 'support' for the following association rule: "If X and Y, then Z".

Correct Answer

[#327] With Bayes theorem the probability of hypothesis(H) specified by P(H) is referred to as

Correct Answer

[#328] Which of the following statement is true about outliers in Linear regression?

Correct Answer

[#329] Naive Bayes classifiers is . . . . . . . . Learning

Correct Answer

[#330] The distance between two points calculated using Pythagoras theorem is

Correct Answer