Consider the following code for Ridge Regression: from sklearn.linear_model import Ridge import numpy as np X = np.array([[1, 2], [2, 4], [3, 6], [4, 8]]) y = np.array([1, 2, 3, 4]) model = Ridge(alpha=10) model.fit(X, y) coefficients = model.coef_ print(np.round(coefficients,2)) What will be the output for the coefficients?

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

Question 1: Consider the following code for Ridge Regression: What wi…

Question 1

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Consider the following code for Ridge Regression:

python

1from sklearn.linear_model import Ridge
2import numpy as np
3
4X = np.array([[1, 2], [2, 4], [3, 6], [4, 8]])
5y = np.array([1, 2, 3, 4])
6
7model = Ridge(alpha=10)
8model.fit(X, y)
9coefficients = model.coef_
10print(np.round(coefficients,2))

What will be the output for the coefficients?

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Question 1 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 1: Consider the following code for Ridge Regression: What wi…

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