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Machine Learning Practice · End Term · 3 Sept 2023 · May 2023 term · Set QPD1-S1

Question 13: Consider the following code snippet: If the shape of X i…

Question 13

+3 marksOne correct option

Consider the following code snippet:

python
from sklearn.datasets import fetch_california_housing
from sklearn.decomposition import PCA
from sklearn.preprocessing import StandardScaler, PolynomialFeatures
from sklearn.pipeline import Pipeline, FeatureUnion




data = fetch_california_housing()
X = data.data


polynomial_transform = PolynomialFeatures(degree=2, include_bias=False)
pca_transform = PCA(n_components=5)
scaler = StandardScaler()




combined_features = FeatureUnion([  ('poly', polynomial_transform),
    ('pca', pca_transform)])




pipeline = Pipeline([ ('features', combined_features),
    ('scaler', scaler)])


X_transformed = pipeline.fit_transform(X)
print(X_transformed.shape)

If the shape of X is (20640,8)(20640, 8), what will be the shape of X_transformed?

  1. A

    (20640, 8)

  2. B

    (20640, 5)

  3. C

    (20640, 44)

  4. D

    (20640, 49)

Show answer

Correct answer

  • D

    (20640, 49)

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Question 13 of 34 in the IIT Madras BS Machine Learning Practice (MLP) End Term paper sat on 3 Sept 2023, in the May 2023 term (IIT M DIPLOMA ET1 EXAM QPD1 S2 03 Sep). It carries 3 marks.

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