Machine Learning - Practice Test

[#321] The correlation coefficient for two real-valued attributes is -0.85. What does this value tell you?

(A) the attributes are not linearly related.

(B) as the value of one attribute increases the value of the second attribute also increases

(C) as the value of one attribute decreases the value of the second attribute increases

(D) the attributes show a linear relationship

(E) the attributes are not linearly related.

(F) as the value of one attribute increases the value of the second attribute also increases

(G) as the value of one attribute decreases the value of the second attribute increases

(H) the attributes show a linear relationship

Correct Answer

(C) as the value of one attribute decreases the value of the second attribute increases
(G) as the value of one attribute decreases the value of the second attribute increases

[#322] There are also many univariate methods that can be used in order to select the best features according to specific criteria based on . . . . . . . .

(A) F-tests and p-values

(B) chi-square

(C) ANOVA

(D) All above

(E) F-tests and p-values

(F) chi-square

(G) ANOVA

(H) All above

Correct Answer

(A) F-tests and p-values
(E) F-tests and p-values

[#323] Which of the following is an application of NN (Neural Network)?

(A) sales forecasting

(B) data validation

(C) risk management

(D) all of the mentioned

(E) sales forecasting

(F) data validation

(G) risk management

(H) all of the mentioned

Correct Answer

(D) all of the mentioned
(H) all of the mentioned

[#324] Which statement is true about the K-Means algorithm?

(A) the output attribute must be cateogrical

(B) all attribute values must be categorical

(C) all attributes must be numeric

(D) attribute values may be either categorical or numeric

(E) the output attribute must be cateogrical

(F) all attribute values must be categorical

(G) all attributes must be numeric

(H) attribute values may be either categorical or numeric

Correct Answer

(C) all attributes must be numeric
(G) all attributes must be numeric

[#325] which of the following step / assumption in regression modeling impacts the trade-off between under-fitting and over-fitting the most.

(A) The polynomial degree

(B) Whether we learn the weights by matrix inversion or gradient descent

(C) The use of a constant-term

(D) None of these

(E) The polynomial degree

(F) Whether we learn the weights by matrix inversion or gradient descent

(G) The use of a constant-term

(H) None of these

Correct Answer

(A) The polynomial degree
(E) The polynomial degree

Machine Learning - Study Mode

[#321] The correlation coefficient for two real-valued attributes is -0.85. What does this value tell you?

Correct Answer

[#322] There are also many univariate methods that can be used in order to select the best features according to specific criteria based on . . . . . . . .

Correct Answer

[#323] Which of the following is an application of NN (Neural Network)?

Correct Answer

[#324] Which statement is true about the K-Means algorithm?

Correct Answer

[#325] which of the following step / assumption in regression modeling impacts the trade-off between under-fitting and over-fitting the most.

Correct Answer