Given the following code for Polynomial Regression: from sklearn.preprocessing import PolynomialFeatures from sklearn.linear_model import LinearRegression import numpy as np X = np.array([1, 2, 3, 4, 5]).reshape(-1, 1) y = np.array([1, 4, 9, 16, 25]) poly = PolynomialFeatures(degree=2, interaction_only=False) X_poly = poly.fit_transform(X) model = LinearRegression() model.fit(X_poly, y) y_pred = model.predict(X_poly) print(y_pred) What will be the output of the code?

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

Question 3: Given the following code for Polynomial Regression: What …

Question 3

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Given the following code for Polynomial Regression:

python

1from sklearn.preprocessing import PolynomialFeatures
2from sklearn.linear_model import LinearRegression
3import numpy as np
4
5X = np.array([1, 2, 3, 4, 5]).reshape(-1, 1)
6y = np.array([1, 4, 9, 16, 25])
7
8poly = PolynomialFeatures(degree=2, interaction_only=False)
9X_poly = poly.fit_transform(X)
10model = LinearRegression()
11model.fit(X_poly, y)
12
13y_pred = model.predict(X_poly)
14print(y_pred)

What will be the output of the code?

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Question 3 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 3: Given the following code for Polynomial Regression: What …

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