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Machine Learning Techniques, End Term

May 2022 term, 7 Aug 2022, Set QPB1

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Question 1

+2−0Single correct

During classification of linearly separable data-set using perceptron algorithm, as the value of learning rate α is increased,

Select one option

A.
The number of steps required for convergence increases.
B.
The number of steps required for convergence decreases.
C.
The number of steps required for convergence is independent of the learning rate.
D.
The perceptron algorithm may not converge.

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During classification of linearly separable data-set using perceptron algorithm, as the value of learning rate α is increased, A knn algorithm with *k* = 10 gives low training error and high validation error. What value of *k* should we choose to get the better performance of the algorithm? Consider a binary classification problem. Let *p*1 denote the proportion of class 0 examples in a particular node. Which of the following graphs shows correct curves for the Gini-index, Entropy and misclassification error of that node?