Consider the following code snippet using scikit-learn: from sklearn.preprocessing import StandardScaler from sklearn.pipeline import Pipeline from sklearn.svm import SVC from sklearn.model_selection import GridSearchCV 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(estimator= pipeline, param_grid= param_grid, cv=5, scoring='accuracy', verbose=2) grid_search.fit(X_train, y_train) Assuming that X_train and y_train are given and the features are not sparse, which of the following statements about the given code is correct?

(B) Option figure from the original question paper

(A) Option figure from the original question paper

(C) Option figure from the original question paper

(D) Option figure from the original question paper

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

Question 10: Consider the following code snippet using scikit-learn: …

Question 10

+2 marksOne correct option

Consider the following code snippet using scikit-learn:

python

1from sklearn.preprocessing import StandardScaler
2from sklearn.pipeline import Pipeline
3from sklearn.svm import SVC
4from sklearn.model_selection import GridSearchCV
5
6pipeline = Pipeline([('scaler', StandardScaler()),
7                     ('classifier', SVC())])
8
9param_grid = {'scaler__with_mean': [True, False],
10              'classifier__C': [0.1, 1, 10],
11              'classifier__kernel': ['linear', 'rbf'],
12              'classifier__gamma': [0.1, 1, 10]}
13
14grid_search = GridSearchCV(estimator= pipeline,
15                           param_grid= param_grid,
16                           cv=5,
17                           scoring='accuracy',
18                           verbose=2)
19grid_search.fit(X_train, y_train)

Assuming that X_train and y_train are given and the features are not sparse, which of the following statements about the given code is correct?

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Question 10 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 10: Consider the following code snippet using scikit-learn: …

Question 10

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