Consider the following code? from sklearn.neighbors import KNeighborsClassifier import numpy as np X_train = np.array([[1, 0.5], [2, 1], [3, 1.5], [4, 2], [5, 2.5], [6, 3], [7, 3.5], [8, 4], [9, 4.5], [10, 5]]) y_train = [0, 0, 1, 1, 2, 2, 2, 2, 2, 2] knn = KNeighborsClassifier(n_neighbors=7) knn.fit(X_train, y_train) Given a single test data point X_test, what will be the output of the following code? print(knn.predict(X_test))

(D) Can not be determined without knowing the test data point.

Machine Learning Practice · Quiz 2 · 3 Dec 2023 · September 2023 term

Question 9: Consider the following code? Given a single test data poi…

Question 9

+2 marksOne correct option

Consider the following code?

python

1from sklearn.neighbors import KNeighborsClassifier
2import numpy as np
3
4X_train = np.array([[1, 0.5],   [2, 1], [3, 1.5],    [4, 2], [5, 2.5],
5                    [6, 3], [7, 3.5],    [8, 4], [9, 4.5],   [10, 5]])
6
7y_train = [0, 0, 1, 1, 2, 2, 2, 2, 2, 2]
8
9knn = KNeighborsClassifier(n_neighbors=7)
10knn.fit(X_train, y_train)

Given a single test data point X_test, what will be the output of the following code?

python

1print(knn.predict(X_test))

A
0
B
1
C
2
D
Can not be determined without knowing the test data point.

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Question 9 of 23 in the IIT Madras BS Machine Learning Practice (MLP) Quiz 2 paper sat on 3 Dec 2023, in the September 2023 term (IIT M DIPLOMA AN2 EXAM QDD2 03 Dec 2023). It carries 2 marks.

Question 9: Consider the following code? Given a single test data poi…

Question 9

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