Machine Learning MCQs with answers Page - 11

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📊 Machine Learning
Q. What are two steps of tree pruning work?
  • (A) pessimistic pruning and optimistic pruning
  • (B) Lasso regression uses subset selection of features
  • (C) cost complexity pruning and time complexity pruning
  • (D) none of the options
💬 Discuss
✅ Correct Answer: (B) Lasso regression uses subset selection of features
📊 Machine Learning
Q. Suppose you are using stacking with n different machine learning algorithms with k folds on data. Which of the following is true about one level (m base models + 1 stacker) stacking? Note: Here, we are working on binary classification problem All base models are trained on all features You are using k folds for base models
  • (A) you will have only k features after the first stage
  • (B) you will have only m features after the first stage
  • (C) you will have k+m features after the first stage
  • (D) you will have k*n features after the first stage
💬 Discuss
✅ Correct Answer: (B) you will have only m features after the first stage
📊 Machine Learning
Q. Type of dataset available in Supervised Learning is
  • (A) unlabeled dataset
  • (B) labeled dataset
  • (C) csv file
  • (D) excel file
💬 Discuss
✅ Correct Answer: (B) labeled dataset
📊 Machine Learning
Q. Another name for an output attribute.
  • (A) predictive variable
  • (B) independent variable
  • (C) estimated variable
  • (D) dependent variable
💬 Discuss
✅ Correct Answer: (B) independent variable
📊 Machine Learning
Q. PCA works better if there is
1. A linear structure in the data
2. If the data lies on a curved surface and not on a flat surface
3. If variables are scaled in the same unit
  • (A) 1 and 2
  • (B) 2 and 3
  • (C) 1 and 3
  • (D) 1,2 and 3
💬 Discuss
✅ Correct Answer: (C) 1 and 3
📊 Machine Learning
Q. What is/are true about kernel in SVM?
1. Kernel function map low dimensional data to high dimensional space
2. It's a similarity function
  • (A) 1
  • (B) 2
  • (C) 1 and 2
  • (D) None of these
💬 Discuss
✅ Correct Answer: (C) 1 and 2
📊 Machine Learning
Q. Which statement about outliers is true?
  • (A) outliers should be part of the training dataset but should not be present in the test data
  • (B) outliers should be identified and removed from a dataset
  • (C) the nature of the problem determines how outliers are used
  • (D) outliers should be part of the test dataset but should not be present in the training data
💬 Discuss
✅ Correct Answer: (C) the nature of the problem determines how outliers are used
📊 Machine Learning
Q. Select the correct answers for following statements.
1. Filter methods are much faster compared to wrapper methods.
2. Wrapper methods use statistical methods for evaluation of a subset of features while Filter methods use cross validation.
  • (A) both are true
  • (B) 1 is true and 2 is false
  • (C) both are false
  • (D) 1 is false and 2 is true
💬 Discuss
✅ Correct Answer: (B) 1 is true and 2 is false
📊 Machine Learning
Q. With Bayes classifier, missing data items are
  • (A) treated as equal compares.
  • (B) treated as unequal compares.
  • (C) replaced with a default value.
  • (D) ignored.
💬 Discuss
✅ Correct Answer: (B) treated as unequal compares.
📊 Machine Learning
Q. scikit-learn also provides functions for creating dummy datasets from scratch:
  • (A) make_classification()
  • (B) make_regression()
  • (C) make_blobs()
  • (D) all above
💬 Discuss
✅ Correct Answer: (D) all above

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