Consider the following code snippet: from sklearn.datasets import load_iris from sklearn.decomposition import PCA from sklearn.preprocessing import PolynomialFeatures from sklearn.pipeline import FeatureUnion X = load_iris().data # X.shape = (150,4) poly_feature = PolynomialFeatures(degree=2, include_bias=True) union = FeatureUnion([('poly', poly_feature), ('pca', PCA(n_components=2))]) X_transformed = union.fit_transform(X) print(X_transformed.shape) If the shape of X is (150, 4). How many total columns are there in the X_transformed ?

Machine Learning Practice · Quiz 2 · 24 Mar 2024 · January 2024 term

Question 19: Consider the following code snippet: If the shape of X i…

Question 19

+2 marksNumerical answer

Consider the following code snippet:

python

1from sklearn.datasets import load_iris
2from sklearn.decomposition import PCA
3from sklearn.preprocessing import PolynomialFeatures
4from sklearn.pipeline import FeatureUnion
5X = load_iris().data # X.shape = (150,4)
6
7poly_feature = PolynomialFeatures(degree=2, include_bias=True)
8union = FeatureUnion([('poly', poly_feature),
9                      ('pca', PCA(n_components=2))])
10
11X_transformed = union.fit_transform(X)
12print(X_transformed.shape)

If the shape of X is $(150, 4)$ . How many total columns are there in the X_transformed ?

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Correct answer: 17

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Question 19 of 22 in the IIT Madras BS Machine Learning Practice (MLP) Quiz 2 paper sat on 24 Mar 2024, in the January 2024 term (IIT M DIPLOMA AN EXAM QDD2 24 Mar 2024). It carries 2 marks.

Question 19: Consider the following code snippet: If the shape of X i…

Question 19

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