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Machine Learning Practice · End Term · 13 Apr 2025 · January 2025 term · Set QDD1

Question 23: Consider the following code snippet: If the shape of X i…

Question 23

+1 markNumerical answer

Consider the following code snippet:

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


X,y = load_iris(return_X_y= True)


polynomial_transform = PolynomialFeatures(degree=3,
                                          interaction_only=False,
                                          include_bias=False)






combined_features = FeatureUnion([('poly', polynomial_transform),
                                  ('pca', PCA(n_components=2))])


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


X_transformed = pipeline.fit_transform(X)


print(X_transformed.shape)

If the shape of X is (150,4)(150, 4), what will be the number of features in X_transformed?

Show answer

Correct answer: 36

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Question 23 of 30 in the IIT Madras BS Machine Learning Practice (MLP) End Term paper sat on 13 Apr 2025, in the January 2025 term (IIT M DIPLOMA AN EXAM QDD3 13 Apr 2025). It carries 1 mark.

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