Machine Learning - Practice Test

[#381] If you remove the non-red circled points from the data, the decision boundary will change?

(A) TRUE

(B) FALSE

(C) TRUE

(D) FALSE

Correct Answer

(B) FALSE
(D) FALSE

[#382] Problem: Players will play if weather is sunny. Is this statement is correct?

(A) TRUE

(B) FALSE

(C) TRUE

(D) FALSE

Correct Answer

(A) TRUE
(C) TRUE

[#383] . . . . . . . . allows exploiting the natural sparsity of data while extracting principal components.

(A) SparsePCA

(B) KernelPCA

(C) SVD

(D) init parameter

(E) SparsePCA

(F) KernelPCA

(G) SVD

(H) init parameter

Correct Answer

(A) SparsePCA
(E) SparsePCA

[#384] Generally, which of the following method(s) is used for predicting continuous dependent variable? 1. Linear Regression 2. Logistic Regression

(A) 1 and 2

(B) only 1

(C) only 2

(D) none of these.

(E) 1 and 2

(F) only 1

(G) only 2

(H) none of these.

Correct Answer

(B) only 1
(F) only 1

[#385] What is the purpose of performing cross-validation?

(A) To assess the predictive performance of the models

(B) To judge how the trained model performs outside the sample on test data

(C) Both A and B

(D) None of these

(E) To assess the predictive performance of the models

(F) To judge how the trained model performs outside the sample on test data

(G) Both A and B

(H) None of these

Correct Answer

(C) Both A and B
(G) Both A and B

Machine Learning - Study Mode

[#381] If you remove the non-red circled points from the data, the decision boundary will change?

Correct Answer

[#382] Problem: Players will play if weather is sunny. Is this statement is correct?

Correct Answer

[#383] . . . . . . . . allows exploiting the natural sparsity of data while extracting principal components.

Correct Answer

[#384] Generally, which of the following method(s) is used for predicting continuous dependent variable? 1. Linear Regression 2. Logistic Regression

Correct Answer

[#385] What is the purpose of performing cross-validation?

Correct Answer