Consider the following code snippet using scikit-learn: pipeline = Pipeline([ ('scaler', StandardScaler()), ('classifier', SVC())]) param_grid = {'scalerwith_mean': [True, False], 'classifierC': [0.1, 1, 10], 'classifierkernel': ['linear', 'rbf'], 'classifiergamma': [0.1, 1, 10]} grid_search = GridSearchCV(pipeline, param_grid, cv=5, scoring='accuracy') grid_search.fit(X_train, y_train) Assume that X_train and y_train are training feature matrix and label vector, respectively. Which of the following statements about the given code is correct?

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

Question 14: Consider the following code snippet using scikit-learn: …

Question 14

+3 marksOne correct option

Consider the following code snippet using scikit-learn:

python

1pipeline = Pipeline([
2    ('scaler', StandardScaler()),
3    ('classifier', SVC())])
4
5
6param_grid = {'scaler__with_mean': [True, False],
7    'classifier__C': [0.1, 1, 10],
8    'classifier__kernel': ['linear', 'rbf'],
9    'classifier__gamma': [0.1, 1, 10]}
10
11grid_search = GridSearchCV(pipeline, param_grid, cv=5, scoring='accuracy')
12grid_search.fit(X_train, y_train)

Assume that X_train and y_train are training feature matrix and label vector, respectively. Which of the following statements about the given code is correct?

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Question 14 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 3 marks.

Question 14: Consider the following code snippet using scikit-learn: …

Question 14

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