Machine Learning MCQs with answers Page - 10

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📊 Machine Learning
Q. What does dimensionality reduction reduce?
  • (A) stochastics
  • (B) not frequent
  • (C) performance
  • (D) entropy
💬 Discuss
✅ Correct Answer: (B) not frequent
📊 Machine Learning
Q. If an item set 'XYZ' is a frequent item set, then all subsets of that frequent item set are
  • (A) undefined
  • (B) deductive
  • (C) frequent
  • (D) can not say
💬 Discuss
✅ Correct Answer: (C) frequent
📊 Machine Learning
Q. Like the probabilistic view, the . . . . . . . . view allows us to associate a probability of membership with each classification.
  • (A) exampler
  • (B) analogy
  • (C) classical
  • (D) inductive
💬 Discuss
✅ Correct Answer: (D) inductive
📊 Machine Learning
Q. Hierarchical agglomerative clustering is typically visualized as?
  • (A) dendrogram
  • (B) binary trees
  • (C) block diagram
  • (D) graph
💬 Discuss
✅ Correct Answer: (A) dendrogram
📊 Machine Learning
Q. Commons unsupervised applications include
  • (A) object segmentation
  • (B) similarity detection
  • (C) automatic labeling
  • (D) all above
💬 Discuss
✅ Correct Answer: (D) all above
📊 Machine Learning
Q. The multiple coefficient of determination is computed by
  • (A) dividing ssr by sst
  • (B) dividing sst by ssr
  • (C) dividing sst by sse
  • (D) none of the above
💬 Discuss
✅ Correct Answer: (C) dividing sst by sse
📊 Machine Learning
Q. The most popularly used dimensionality reduction algorithm is Principal Component Analysis (PCA). Which of the following is/are true about PCA?
1. PCA is an unsupervised method
2. It searches for the directions that data have the largest variance
3. Maximum number of principal components <= number of features
4. All principal components are orthogonal to each other
  • (A) 1 & 2
  • (B) 2 & 3
  • (C) 3 & 4
  • (D) all of the above
💬 Discuss
✅ Correct Answer: (D) all of the above
📊 Machine Learning
Q. A term used to describe the case when the independent variables in a multiple regression model are correlated is
  • (A) regression
  • (B) correlation
  • (C) multicollinearity
  • (D) none of the above
💬 Discuss
✅ Correct Answer: (C) multicollinearity
📊 Machine Learning
Q. Bayes' theorem describes the probability of an event, based on prior knowledge of conditions that might be related to the event.
  • (A) TRUE
  • (B) feature
  • (C) ---
  • (D) ---
💬 Discuss
✅ Correct Answer: (A) TRUE
📊 Machine Learning
Q. In the example of predicting number of babies based on stork's population ,Number of babies is
  • (A) outcome
  • (B) postpruning and prepruning
  • (C) observation
  • (D) attribute
💬 Discuss
✅ Correct Answer: (A) outcome

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