Consider the following Python code snippet that demonstrates the use of SGDClassifier from scikit-learn: clf = SGDClassifier(loss="hinge", penalty="l2", max_iter=500, warm_start=True) clf.fit(X_train,y_train) Choose the correct statements:

(B) The training may terminate after 499 iterations or lesser

(D) The classifier’s model parameters will initialized with parameters learnt from previous call to fit() function, if the same object is trained/fitted multiple times on new data.

(C) the classifier represents a perceptron model

Machine Learning Practice · End Term · 24 Dec 2023 · September 2023 term · Set FDD1

Question 24: Consider the following Python code snippet that demonstr…

Question 24

+2 marksOne or more correct options

Consider the following Python code snippet that demonstrates the use of SGDClassifier from scikit-learn:

python

1clf = SGDClassifier(loss="hinge",
2                    penalty="l2",
3                    max_iter=500,
4                    warm_start=True)
5clf.fit(X_train,y_train)

Choose the correct statements:

Select all that apply.

A
It applies lasso penalty.
B
The training may terminate after 499 iterations or lesser
C
the classifier represents a perceptron model
D
The classifier’s model parameters will initialized with parameters learnt from previous call to fit() function, if the same object is trained/fitted multiple times on new data.

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Correct answers

B
The training may terminate after 499 iterations or lesser
D
The classifier’s model parameters will initialized with parameters learnt from previous call to fit() function, if the same object is trained/fitted multiple times on new data.

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Question 24 of 38 in the IIT Madras BS Machine Learning Practice (MLP) End Term paper sat on 24 Dec 2023, in the September 2023 term (IIT M DIPLOMA FN EXAM FDD1 24 Dec 2023). It carries 2 marks.

Question 24: Consider the following Python code snippet that demonstr…

Question 24

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