What will be the output of the following code? import numpy as np from sklearn.neighbors import KNeighborsRegressor X_train = np.array([[1, 100], [4, 400], [5, 500], [6, 600], [8, 800], [9, 900], [11, 1100], [12, 1200], [15, 1500], [18, 1800], [19, 1900]]) y_train = np.array([10, 20, 30, 40, 50, 60, 70, 80, 90, 100, 110]) X_test = np.array([[2, 200]]) knn = KNeighborsRegressor(n_neighbors=len(y_train), metric="euclidean", weights='uniform') knn.fit(X_train, y_train) print(knn.predict(X_test))

Machine Learning Practice · Quiz 2 · 1 Dec 2024 · September 2024 term

Question 19: What will be the output of the following code?

Question 19

+3 marksNumerical answer

What will be the output of the following code?

python

1import numpy as np
2from sklearn.neighbors import KNeighborsRegressor
3
4X_train = np.array([[1, 100], [4, 400], [5, 500], [6, 600], [8, 800],
5                    [9, 900], [11, 1100], [12, 1200], [15, 1500],
6                    [18, 1800], [19, 1900]])
7
8y_train = np.array([10, 20, 30, 40, 50, 60, 70, 80, 90, 100, 110])
9
10X_test = np.array([[2, 200]])
11
12knn = KNeighborsRegressor(n_neighbors=len(y_train),
13                          metric="euclidean",
14                          weights='uniform')
15knn.fit(X_train, y_train)
16print(knn.predict(X_test))

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Correct answer: 60

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Question 19 of 21 in the IIT Madras BS Machine Learning Practice (MLP) Quiz 2 paper sat on 1 Dec 2024, in the September 2024 term (IIT M DIPLOMA AN EXAM QDD2 01 Dec 2024). It carries 3 marks.

Question 19: What will be the output of the following code?

Question 19

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