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[#386] If X and Y in a regression model are totally unrelated,

(A) the correlation coefficient would be -1

(B) the coefficient of determination would be 0

(C) the coefficient of determination would be 1

(D) the sse would be 0

(E) the correlation coefficient would be -1

(F) the coefficient of determination would be 0

(G) the coefficient of determination would be 1

(H) the sse would be 0

Correct Answer

(B) the coefficient of determination would be 0
(F) the coefficient of determination would be 0

[#387] How can SVM be classified?

(A) it is a model trained using unsupervised learning. it can be used for classification and regression.

(B) it is a model trained using unsupervised learning. it can be used for classification but not for regression.

(C) it is a model trained using supervised learning. it can be used for classification and regression.

(D) t is a model trained using unsupervised learning. it can be used for classification but not for regression.

(E) it is a model trained using unsupervised learning. it can be used for classification and regression.

(F) it is a model trained using unsupervised learning. it can be used for classification but not for regression.

(G) it is a model trained using supervised learning. it can be used for classification and regression.

(H) t is a model trained using unsupervised learning. it can be used for classification but not for regression.

Correct Answer

(C) it is a model trained using supervised learning. it can be used for classification and regression.
(G) it is a model trained using supervised learning. it can be used for classification and regression.

[#388] A company has build a kNN classifier that gets 100% accuracy on training data. When they deployed this model on client side it has been found that the model is not at all accurate. Which of the following thing might gone wrong? Note: Model has successfully deployed and no technical issues are found at client side except the model performance

(A) it is probably a overfitted model

(B) it is probably a underfitted model

(C) can't say

(D) wrong client data

(E) it is probably a overfitted model

(F) it is probably a underfitted model

(G) can't say

(H) wrong client data

Correct Answer

(A) it is probably a overfitted model
(E) it is probably a overfitted model

[#389] which of the following cases will K-Means clustering give poor results? 1. Data points with outliers 2. Data points with different densities 3. Data points with round shapes 4. Data points with non-convex shapes

(A) 1 and 2

(B) 2 and 3

(C) 2 and 4

(D) 1, 2 and 4

(E) 1 and 2

(F) 2 and 3

(G) 2 and 4

(H) 1, 2 and 4

Correct Answer

[#390] Which of the following option is / are correct regarding benefits of ensemble model? 1. Better performance 2. Generalized models 3. Better interpretability

(A) 1 and 3

(B) 2 and 3

(C) 1, 2 and 3

(D) 1 and 2

(E) 1 and 3

(F) 2 and 3

(G) 1, 2 and 3

(H) 1 and 2

Correct Answer

(D) 1 and 2
(H) 1 and 2