Assume train data (X_train, y_train) and test data (X_test) is given as numpy array and you build and train a LogisticRegression model. Which of the following options might possibly be the predicted class of first two samples(rows) of the test data according to the code given below? >>> from sklearn.linear_model import LogisticRegression >>> log_reg = LogisticRegression() >>> log_reg.fit(X_train,y_train) >>> print(log_reg.classes_) [0,1,2] #output of above code >>> print(log_reg.predict_proba(X_test[[0]])) [[2.73e-45, 1.21e-51, 1.00e+00]] #output of above code >>> print(log_reg.predict_proba(X_test[[1]])) [[7.09e-29, 1.00e+00, 2.02e-36]] #output of above code >>> print(log_reg.predict(X_test[0:2]))

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(A) Option figure from the original question paper

(B) Option figure from the original question paper

(D) Option figure from the original question paper

Machine Learning Practice · Quiz 2 · 3 Dec 2023 · September 2023 term

Question 3: Assume train data (X_train, y_train) and test data (X_tes…

Question 3

+2 marksOne correct option

Assume train data (X_train, y_train) and test data (X_test) is given as numpy array and you build and train a LogisticRegression model. Which of the following options might possibly be the predicted class of first two samples(rows) of the test data according to the code given below?

python

1>>> from sklearn.linear_model import LogisticRegression
2>>> log_reg = LogisticRegression()
3>>> log_reg.fit(X_train,y_train)
4
5>>> print(log_reg.classes_)
6[0,1,2] #output of above code
7
8>>> print(log_reg.predict_proba(X_test[[0]]))
9[[2.73e-45, 1.21e-51, 1.00e+00]] #output of above code
10
11>>> print(log_reg.predict_proba(X_test[[1]]))
12[[7.09e-29, 1.00e+00, 2.02e-36]] #output of above code
13
14>>> print(log_reg.predict(X_test[0:2]))

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Question 3 of 23 in the IIT Madras BS Machine Learning Practice (MLP) Quiz 2 paper sat on 3 Dec 2023, in the September 2023 term (IIT M DIPLOMA AN2 EXAM QDD2 03 Dec 2023). It carries 2 marks.

Question 3: Assume train data (X_train, y_train) and test data (X_tes…

Question 3

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