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Machine Learning Techniques, End Term

September 2022 term, 11 Dec 2022, Set ETD1-2

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Question 1

+2−0Multiple correct

Which of the following estimators are more likely to be preferred for bagging? Select all that apply.

Select all that apply

Select all that apply.

A.
A decision stump
B.
A fully grown decision tree with randomly selected features for splitting the nodes.
C.
k-NN classifier with a smaller value of k.
D.
k-NN classifier with a larger value of k.

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Which of the following estimators are more likely to be preferred for bagging? Select all that apply. What will be the result of applying ReLU to the following values?:\ \-3.7, 4.9, -2.0, 5.2, 7.4, -8.3 Suppose you run gradient descent for linear regression for 100 iterations with a learning rate 0.01. You observe that the training loss (sum of squared loss) is increasing after every iteration. What may be the reason? What changes would you make to the set-up for the gradient descent to converge to a solution?