Machine Learning - Practice Test

[#76] True or False: Dropout is computationally expensive technique w.r.t. bagging

(A) TRUE

(B) FALSE

(C) TRUE

(D) FALSE

Correct Answer

(B) FALSE
(D) FALSE

[#77] High entropy means that the partitions in classification are

(A) pure

(B) not pure

(C) useful

(D) useless

(E) pure

(F) not pure

(G) useful

(H) useless

Correct Answer

(B) not pure
(F) not pure

[#78] 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) no change

(C) by intercept

(D) by its slope

(E) by 1

(F) no change

(G) by intercept

(H) by its slope

Correct Answer

(D) by its slope
(H) by its slope

[#79] . . . . . . . . showed better performance than other approaches, even without a context-based model

(A) Machine learning

(B) Deep learning

(C) Reinforcement learning

(D) Supervised learning

(E) Machine learning

(F) Deep learning

(G) Reinforcement learning

(H) Supervised learning

Correct Answer

(B) Deep learning
(F) Deep learning

[#80] Gaussian distribution when plotted, gives a bell shaped curve which is symmetric about the . . . . . . . . of the feature values.

(A) Mean

(B) Variance

(C) Discrete

(D) Random

(E) Mean

(F) Variance

(G) Discrete

(H) Random

Correct Answer

(A) Mean
(E) Mean

Machine Learning - Study Mode

[#76] True or False: Dropout is computationally expensive technique w.r.t. bagging

Correct Answer

[#77] High entropy means that the partitions in classification are

Correct Answer

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

Correct Answer

[#79] . . . . . . . . showed better performance than other approaches, even without a context-based model

Correct Answer

[#80] Gaussian distribution when plotted, gives a bell shaped curve which is symmetric about the . . . . . . . . of the feature values.

Correct Answer