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61. You have been given the following 2 statements. Find out which of these options is/are true in case of k-NN? 1. In case of very large value of k, we may include points from other classes into the neighborhood. 2. In case of too small value of k, the algorithm is very sensitive to noise.
1 is True and 2 is False
1 is False and 2 is True
Both are True
Both are False
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62. Suppose you are given the following images (1 represents the left image, 2 represents the middle and 3 represents the right). Now your task is to find out the value of k in k-NN in each of the images shown below. Here k1 is for 1st, k2 is for 2nd and k3 is for 3rd figure.
k1 > k2 > k3
k1 < k2 > k3
k1 < k2 < k3
None of these
63. Which of the following necessitates feature reduction in machine learning?
Irrelevant and redundant features
Limited training data
Limited computational resources
All of the above
64. Suppose, you have given the following data where x and y are the 2 input variables and Class is the dependent variable.
+Class
-Class
Can't say
65. What are the optimum number of principal components in the below figure?
10
20
30
40
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