Consider the following block of code and mark all possible correct options. from sklearn.linear_model import LogisticRegression from sklearn.ensemble import RandomForestClassifier, VotingClassifier clf1 = LogisticRegression() clf2 = RandomForestClassifier() vote=VotingClassifier(estimators=[('lr', clf1), ('rf', clf2)], weights=None, n_jobs= 1, flatten_transform=True, verbose=False, voting='hard') vote = vote.fit(X, y) print(vote.predict(X))

(A) Given model uses majority voting rule to predict class labels.

(C) Setting flatten_transform =True with voting=’soft’ will flatten the output shape of transform.

(B) Given model predicts the class labels based on the argmax of the sums of the predicted probabilities.

Machine Learning Practice · End Term · 7 Aug 2022 · May 2022 term

Question 21: Consider the following block of code and mark all possib…

Question 21

+2 marksOne or more correct options

Consider the following block of code and mark all possible correct options.

python

1from sklearn.linear_model import LogisticRegression
2from sklearn.ensemble import RandomForestClassifier, VotingClassifier
3clf1 = LogisticRegression()
4clf2 = RandomForestClassifier()
5vote=VotingClassifier(estimators=[('lr', clf1), ('rf', clf2)],
6                      weights=None,
7                      n_jobs= 1,
8                      flatten_transform=True,
9                      verbose=False,
10                      voting='hard')
11vote = vote.fit(X, y)
12print(vote.predict(X))

Select all that apply.

A
Given model uses majority voting rule to predict class labels.
B
Given model predicts the class labels based on the argmax of the sums of the predicted probabilities.
C
Setting flatten_transform =True with voting=’soft’ will flatten the output shape of transform.
D
None of these are correct

Show answer

Correct answers

A
Given model uses majority voting rule to predict class labels.
C
Setting flatten_transform =True with voting=’soft’ will flatten the output shape of transform.

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Question 21 of 40 in the IIT Madras BS Machine Learning Practice (MLP) End Term paper sat on 7 Aug 2022, in the May 2022 term (IIT M FOUNDATION DIPLOMA ENDTERM QPB1 07 Aug 2022 IBA NS). It carries 2 marks.

Question 21: Consider the following block of code and mark all possib…

Question 21

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