Machine Learning MCQs with answers Page - 29

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Q. A measurable property or parameter of the data-set is

  • (A) training data
  • (B) Frequency distribution of categories is different in train as compared to the test dataset.
  • (C) test data
  • (D) validation data
💬 Discuss
✅ Correct Answer: (B) Frequency distribution of categories is different in train as compared to the test dataset.

Published by Mr. Dubey ⭐ 111.54K Points at 26-Apr-2024 12:22 pm in Machine Learning

Q. Problem: Players will play if weather is sunny. Is this statement is correct?

  • (A) TRUE
  • (B) KernelPCA
  • (C) ---
  • (D) ---
💬 Discuss
✅ Correct Answer: (A) TRUE

Published by Mr. Dubey ⭐ 111.54K Points at 26-Apr-2024 12:22 pm in Machine Learning

Q. . . . . . . . . allows exploiting the natural sparsity of data while extracting principal components.

  • (A) SparsePCA
  • (B) only 1
  • (C) SVD
  • (D) init parameter
💬 Discuss
✅ Correct Answer: (A) SparsePCA

Published by Mr. Dubey ⭐ 111.54K Points at 26-Apr-2024 12:22 pm in Machine Learning

Q. Generally, which of the following method(s) is used for predicting continuous dependent variable?
1. Linear Regression
2. Logistic Regression

  • (A) 1 and 2
  • (B) To judge how the trained model performs outside the sample on test data
  • (C) only 2
  • (D) none of these.
💬 Discuss
✅ Correct Answer: (B) To judge how the trained model performs outside the sample on test data

Published by Mr. Dubey ⭐ 111.54K Points at 26-Apr-2024 12:22 pm in Machine Learning

Q. What is the purpose of performing cross-validation?

  • (A) To assess the predictive performance of the models
  • (B) the coefficient of determination would be 0
  • (C) Both A and B
  • (D) None of these
💬 Discuss
✅ Correct Answer: (C) Both A and B

Published by Mr. Dubey ⭐ 111.54K Points at 26-Apr-2024 12:22 pm in Machine Learning

Q. If X and Y in a regression model are totally unrelated,

  • (A) the correlation coefficient would be -1
  • (B) it is a model trained using unsupervised learning. it can be used for classification but not for regression.
  • (C) the coefficient of determination would be 1
  • (D) the sse would be 0
💬 Discuss
✅ Correct Answer: (B) it is a model trained using unsupervised learning. it can be used for classification but not for regression.

Published by Mr. Dubey ⭐ 111.54K Points at 26-Apr-2024 12:22 pm in Machine Learning

Q. How can SVM be classified?

  • (A) it is a model trained using unsupervised learning. it can be used for classification and regression.
  • (B) it is probably a underfitted model
  • (C) it is a model trained using supervised learning. it can be used for classification and regression.
  • (D) t is a model trained using unsupervised learning. it can be used for classification but not for regression.
💬 Discuss
✅ Correct Answer: (C) it is a model trained using supervised learning. it can be used for classification and regression.

Published by Mr. Dubey ⭐ 111.54K Points at 26-Apr-2024 12:22 pm in Machine Learning

Q. A company has build a kNN classifier that gets 100% accuracy on training data. When they deployed this model on client side it has been found that the model is not at all accurate. Which of the following thing might gone wrong? Note: Model has successfully deployed and no technical issues are found at client side except the model performance

  • (A) it is probably a overfitted model
  • (B) 2 and 3
  • (C) can't say
  • (D) wrong client data
💬 Discuss
✅ Correct Answer: (A) it is probably a overfitted model

Published by Mr. Dubey ⭐ 111.54K Points at 26-Apr-2024 12:22 pm in Machine Learning

Q. which of the following cases will K-Means clustering give poor results?
1. Data points with outliers
2. Data points with different densities
3. Data points with round shapes
4. Data points with non-convex shapes

  • (A) 1 and 2
  • (B) 2 and 3
  • (C) 2 and 4
  • (D) 1, 2 and 4
💬 Discuss
✅ Correct Answer: (C) 2 and 4

Published by Mr. Dubey ⭐ 111.54K Points at 26-Apr-2024 12:22 pm in Machine Learning

Q. Which of the following option is / are correct regarding benefits of ensemble model?
1. Better performance
2. Generalized models
3. Better interpretability

  • (A) 1 and 3
  • (B) decrease by 3 units
  • (C) 1, 2 and 3
  • (D) 1 and 2
💬 Discuss
✅ Correct Answer: (D) 1 and 2

Published by Mr. Dubey ⭐ 111.54K Points at 26-Apr-2024 12:22 pm in Machine Learning

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