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Machine Learning Practice · End Term · 11 Dec 2022 · September 2022 term · Set ETD1-2

Question 38: Which of the following could be the possible output of p…

Question 38

+3 marksOne correct option

Go through the code snippet given below and answer the given subquestions.

python
from sklearn.preprocessing import PolynomialFeatures
from sklearn.pipeline import Pipeline
from sklearn.preprocessing import StandardScaler
from sklearn.linear_model import RidgeCV
from sklearn.datasets import load_diabetes
dataset = load_diabetes(as_frame=True)
X=dataset.data
y=dataset.target


lf= np.arange(0.01, 1, 0.03)


ridge_reg_pipeline = Pipeline([("poly", PolynomialFeatures(degree=2)),
                               ("feature_scaling", StandardScaler())
                               ])


ridge= RidgeCV(alphas=lf,scoring="neg_mean_squared_error")
results = ridge.fit(X,y)

Which of the following could be the possible output of print(results.best_score_)?

  1. A

    1

  2. B

    -3000.38

  3. C

    0.528

  4. D

    0.681

Show answer

Correct answer

  • B

    -3000.38

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Question 38 of 38 in the IIT Madras BS Machine Learning Practice (MLP) End Term paper sat on 11 Dec 2022, in the September 2022 term (IIT M DIPLOMA AN1 EXAM ETD1 11 Dec 2022). It carries 3 marks.

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