Machine Learning - Practice Test

[#286] Classification problems are distinguished from estimation problems in that

(A) classification problems require the output attribute to be numeric.

(B) classification problems require the output attribute to be categorical.

(C) classification problems do not allow an output attribute.

(D) classification problems are designed to predict future outcome.

(E) classification problems require the output attribute to be numeric.

(F) classification problems require the output attribute to be categorical.

(G) classification problems do not allow an output attribute.

(H) classification problems are designed to predict future outcome.

Correct Answer

(C) classification problems do not allow an output attribute.
(G) classification problems do not allow an output attribute.

[#287] How will you counter over-fitting in decision tree?

(A) by pruning the longer rules

(B) by creating new rules

(C) both by pruning the longer rules' and ' by creating new rules'

(D) over-fitting is not possible

(E) by pruning the longer rules

(F) by creating new rules

(G) both by pruning the longer rules' and ' by creating new rules'

(H) over-fitting is not possible

Correct Answer

(A) by pruning the longer rules
(E) by pruning the longer rules

[#288] Can we calculate the skewness of variables based on mean and median?

(A) TRUE

(B) FALSE

(C) TRUE

(D) FALSE

Correct Answer

(B) FALSE
(D) FALSE

[#289] It is possible to design a Linear regression algorithm using a neural network?

(A) TRUE

(B) FALSE

(C) TRUE

(D) FALSE

Correct Answer

(A) TRUE
(C) TRUE

[#290] If Linear regression model perfectly first i.e., train error is zero, then . . . . . . . .

(A) Test error is also always zero

(B) Test error is non zero

(C) Couldn't comment on Test error

(D) Test error is equal to Train error

(E) Test error is also always zero

(F) Test error is non zero

(G) Couldn't comment on Test error

(H) Test error is equal to Train error

Correct Answer

(C) Couldn't comment on Test error
(G) Couldn't comment on Test error

Machine Learning - Study Mode

[#286] Classification problems are distinguished from estimation problems in that

Correct Answer

[#287] How will you counter over-fitting in decision tree?

Correct Answer

[#288] Can we calculate the skewness of variables based on mean and median?

Correct Answer

[#289] It is possible to design a Linear regression algorithm using a neural network?

Correct Answer

[#290] If Linear regression model perfectly first i.e., train error is zero, then . . . . . . . .

Correct Answer