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

Question 38: Go through the code snippet given below and answer the s…

Question 38

+3 marksOne correct option

Go through the code snippet given below and answer the subquestions.

python
import numpy as np
from sklearn.pipeline import make_pipeline
from sklearn.preprocessing import StandardScaler
X = np.array([[-8, -3], [3, 3], [5, 3], [-4, -3],])
y = np.array([-3, 3, 3, -3])
from sklearn.svm import SVC
clf = SVC(gamma='auto',kernel="linear")
clf.fit(X, y)
print(clf.predict([[-4, -3]]))

Which of the following is likely to be the correct output:

  1. A

    array([[-8., -3.], [ 3., 3.]])

  2. B

    array([[-4., -3.], [ 3., 3.]])

  3. C

    array([[-4., -3.], [ 5., 3.]])

  4. D

    array([[-8., -3.], [ 5., 3.]])

Show answer

Correct answer

  • B

    array([[-4., -3.], [ 3., 3.]])

See the whole paperTake it as a mock test

Question 38 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 3 marks.

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