Given a dataset with shape 4 \times 3 (4 samples and 3 features), apply the VarianceThreshold method with a threshold of 0.1. What will be the output of the following code? from sklearn.feature_selection import VarianceThreshold data = [ [1, 2, 3], [1, 2, 3], [1, 2, 4], [1, 2, 3] ] # Apply VarianceThreshold with threshold 0.1 vf = VarianceThreshold(threshold=0.1) # Fit the VarianceThreshold and transform the data selected_data = vf.fit_transform(data) # Hint: Columns with variance below the threshold will be removed selected_data.shape[1]

Machine Learning Practice · End Term · 22 Dec 2024 · September 2024 term · Set QDD1

Question 34: Given a dataset with shape 4 \times 3 (4 samples and 3 f…

Question 34

+3 marksNumerical answer

Given a dataset with shape $4 \times 3$ (4 samples and 3 features), apply the VarianceThreshold method with a threshold of 0.1. What will be the output of the following code?

python

1from sklearn.feature_selection import VarianceThreshold
2
3data = [
4        [1, 2, 3],
5        [1, 2, 3],
6        [1, 2, 4],
7        [1, 2, 3]
8       ]
9
10# Apply VarianceThreshold with threshold 0.1
11vf = VarianceThreshold(threshold=0.1)
12
13# Fit the VarianceThreshold and transform the data
14selected_data = vf.fit_transform(data)
15
16# Hint: Columns with variance below the threshold will be removed
17selected_data.shape[1]

Show answer

Correct answer: 1

See the whole paper Take it as a mock test

Question 34 of 37 in the IIT Madras BS Machine Learning Practice (MLP) End Term paper sat on 22 Dec 2024, in the September 2024 term (IIT M IMPROVEMENT FN EXAM QDD1 22 Dec 2024). It carries 3 marks.

Question 34: Given a dataset with shape 4 \times 3 (4 samples and 3 f…

Question 34

More questions from this paper