Quiz Space

Machine Learning Practice · End Term · 30 Apr 2023 · January 2023 term · Set QPD1-S2

Question 16: Consider the following statements about SGDClassifier:\ …

Question 16

+3 marksOne correct option

Consider the following statements about SGDClassifier:
1. It can be used to train a model on large dataset that doesn’t fit in main memory
2. It can emulate a KNN model
3. It can emulate a decision tree model
4. It can emulate a perceptron
Choose the correction option(s)

  1. A

    1 and 4

  2. B

    1 and 2

  3. C

    2 and 3

  4. D

    3 and 4

Show answer

Correct answer

  • A

    1 and 4

See the whole paperTake it as a mock test

Question 16 of 36 in the IIT Madras BS Machine Learning Practice (MLP) End Term paper sat on 30 Apr 2023, in the January 2023 term (IIT M DIPLOMA ET1 EXAM QPD1 S2 30 Apr 2023). It carries 3 marks.

More questions from this paper

  1. Q1generates a bunch of normally-distributed clusters of points with specific mean and standard deviations for each cluste…
  2. Q2Why is data preprocessing necessary?
  3. Q3Which of the following is correct with respect to R2-score?
  4. Q4Which options represent the output of the following code block?
  5. Q5Consider the following code block: What will be the value of the ‘count’?
  6. Q6Consider the following code block:
  7. Q7Which of the following is a hyperparameter?
  8. Q8Figure question
  9. Q9Consider the following code Which of the following options is True for blank space if I want to train the above pipelin…
  10. Q10Consider the following code:
  11. Q11Which of the following are correct about sklearn.svm.SVC:
  12. Q12Figure question
  13. Q13Which of the following APIs only supports conjoining transformers and estimators in series (i.e. one after another)?
  14. Q14Consider the following ML task/steps for a regression dataset:\ Read the data from a file (named ‘dataset.csv’). It has…
  15. Q15Figure question
  16. Q17Consider an image classification task: an image can have dogs, birds and trees. An image can have any combination of th…
  17. Q18Consider following code snippets, assuming necessary imports.
  18. Q19Which of the following options is true for the gamma parameter in a non-linear soft margin SVM?
  19. Q20Consider the following code: Which model is likely to overfit the most?
  20. Q21Following is the code to tune the n_estimators parameter of a Bagging Classifier model. What should the blank space con…
  21. Q22Consider the following code. How many DecisionTreeClassifier models will be trained internally?
  22. Q23Consider two classifiers as shown in the following block of code: What can we say about the depths of the classifiers c…
  23. Q24Consider the following code: What can we say about d1, d2, d3 and d4?
  24. Q25Suppose that we have 10000 samples in a dataset. Suppose further we use the K − means algorithm to find clusters in the…
  25. Q26Suppose that we use k-means clustering for a dataset having 100 samples. The initial centroids for k clusters can be in…
  26. Q27We wish to load the wine dataset from sklearn. Which of the following will throw an error?
  27. Q28Which of the following is correct?
  28. Q29Which of the following algorithms may get impacted by feature scaling?
  29. Q30Which of the following class(es) is (are) used to instantiate a neural network in Sklearn.
  30. Q31Following information about X_train is given: Shape of X_train is (100,6) 4 continuous features, 2 categorical features…
  31. Q32Which of the following ways can help in feature selection?
  32. Q33Consider the following block of code: In which of the following scenarios, the split will NOT be done at node N?
  33. Q34The code given below attempts to find the clusters in the dataset, X using the K-means algorithm.
  34. Q35The following line of code creates a neural network (assume necessary imports) Select the correct statements from the f…
  35. Q36Consider the following code block: How many parameter combinations will be tried by GridSearchCV?