For a dataset with 1000 data points and 100 features, the following code will generate how many models during execution? Note: X is the feature matrix and y is the target vector. from sklearn.model_selection import cross_val_score from sklearn.model_selection import LeaveOneOut from sklearn.linear_model import linear_regression lin_reg = linear_regression() loocv = LeaveOneOut() score = cross_val_score(lin_reg, X, y, cv=loocv)

Machine Learning Practice · Quiz 1 · 23 Feb 2025 · January 2025 term

Question 5: For a dataset with 1000 data points and 100 features, the…

Question 5

+3 marksOne correct option

For a dataset with 1000 data points and 100 features, the following code will generate how many models during execution?

Note: X is the feature matrix and y is the target vector.

python

1from sklearn.model_selection import cross_val_score
2from sklearn.model_selection import LeaveOneOut
3from sklearn.linear_model import linear_regression
4lin_reg = linear_regression()
5loocv = LeaveOneOut()
6score = cross_val_score(lin_reg, X, y, cv=loocv)

A
1000
B
100
C
99
D
999

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Correct answer

A
1000

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Question 5 of 20 in the IIT Madras BS Machine Learning Practice (MLP) Quiz 1 paper sat on 23 Feb 2025, in the January 2025 term (IIT M DIPLOMA AN EXAM QDD2 23 Feb 2025). It carries 3 marks.

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