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

Question 21: Consider the following block of code for the binary clas…

Question 21

+4 marksOne correct option

Consider the following block of code for the binary classification dataset.

Shape of feature matrix is (10000,4) and labels (10000,) respectively.

keep following symbols in mind:

  • >>>: Represents input code
  • # : Represents comment in a code
  • ... : Represents code continuation
  • Without any symbols at the beginning of a line then it is output of just above input line of code.
python
>>> from sklearn.linear_model import LogisticRegression,SGDClassifier
>>> from sklearn.naive_bayes import GaussianNB
>>> from sklearn.ensemble import VotingClassifier


>>> clf1 = LogisticRegression(multi_class='multinomial', random_state=1)
>>> clf2 = SGDClassifier(random_state=1)
>>> clf3 = GaussianNB()


>>> eclf = VotingClassifier(estimators=[('lr', clf1),
...                                     ('sgd', clf2),
...                                     ('gnb', clf3)],
...                              voting='soft')


>>> eclf.fit(X,y)


>>> eclf.named_estimators_['lr'].predict_proba(X[0:1])
[0.4,0.6]
>>> eclf.named_estimators_['sgd'].predict_proba(X[0:1])
[0.25,0.75]
>>> eclf.named_estimators_['gnb'].predict_proba(X[0:1])
[0.9,0.1]

what will be the predicted class for X[0:1] sample using the code given above

  1. A

    0

  2. B

    1

  3. C

    2

  4. D

    3

Show answer

Correct answer

  • B

    1

See the whole paperTake it as a mock test

Question 21 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 4 marks.

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