Machine Learning MCQ Questions with answers and solutions Page 14

Q. When it is necessary to allow the model to develop a generalization ability and avoid a common problem called . . . . . . . .

(A) Overfitting
(B) Overlearning
(C) Classification
(D) Regression

💬 Discuss

✅ Correct Answer: (A) Overfitting

Published by Mr. Dubey ⭐ 111.54K Points at 26-Apr-2024 12:21 pm in Machine Learning

Q. Which of the following is true about Manhattan distance?

(A) it can be used for continuous variables
(B) it can be used for categorical variables
(C) it can be used for categorical as well as continuous
(D) it can be used for constants

💬 Discuss

✅ Correct Answer: (A) it can be used for continuous variables

Published by Mr. Dubey ⭐ 111.54K Points at 26-Apr-2024 12:21 pm in Machine Learning

Q. Suppose, you have 2000 different models with their predictions and want to ensemble predictions of best x models. Now, which of the following can be a possible method to select the best x models for an ensemble?

(A) step wise forward selection
(B) step wise backward elimination
(C) both
(D) none of above

💬 Discuss

✅ Correct Answer: (C) both

Published by Mr. Dubey ⭐ 111.54K Points at 26-Apr-2024 12:21 pm in Machine Learning

Q. In a linear regression problem, we are using "R-squared" to measure goodness-of-fit. We add a feature in linear regression model and retrain the same model. Which of the following option is true?

(A) If R Squared increases, this variable is significant.
(B) If R Squared decreases, this variable is not significant.
(C) Individually R squared cannot tell about variable importance. We can't say anything about it right now.
(D) None of these.

💬 Discuss

✅ Correct Answer: (C) Individually R squared cannot tell about variable importance. We can't say anything about it right now.

Published by Mr. Dubey ⭐ 111.54K Points at 26-Apr-2024 12:21 pm in Machine Learning

Q. True or False: Ensemble of classifiers may or may not be more accurate than any of its individual model.

(A) TRUE
(B) bias will be low, variance will be high
(C) ---
(D) ---

💬 Discuss

✅ Correct Answer: (A) TRUE

Published by Mr. Dubey ⭐ 111.54K Points at 26-Apr-2024 12:21 pm in Machine Learning

Q. This clustering algorithm terminates when mean values computed for the current iteration of the algorithm are identical to the computed mean values for the previous iteration Select one:

(A) k-means clustering
(B) conceptual clustering
(C) expectation maximization
(D) agglomerative clustering

💬 Discuss

✅ Correct Answer: (A) k-means clustering

Published by Mr. Dubey ⭐ 111.54K Points at 26-Apr-2024 12:21 pm in Machine Learning

Q. scikit-learn offers the class. . . . . . . ., which is responsible for filling the holes using a strategy based on the mean, median, or frequency

(A) LabelEncoder
(B) LabelBinarizer
(C) DictVectorizer
(D) Imputer

💬 Discuss

✅ Correct Answer: (D) Imputer

Published by Mr. Dubey ⭐ 111.54K Points at 26-Apr-2024 12:21 pm in Machine Learning

Q. Which of the following function provides unsupervised prediction ?

(A) cl_forecastb
(B) cl_nowcastc
(C) cl_precastd
(D) none of the mentioned

💬 Discuss

✅ Correct Answer: (D) none of the mentioned

Published by Mr. Dubey ⭐ 111.54K Points at 26-Apr-2024 12:21 pm in Machine Learning

Q. In the last decade, many researchers started training bigger and bigger models, built with several different layers that's why this approach is called . . . . . . . .

(A) Deep learning
(B) Machine learning
(C) Reinforcement learning
(D) Unsupervised learning

💬 Discuss

✅ Correct Answer: (A) Deep learning

Published by Mr. Dubey ⭐ 111.54K Points at 26-Apr-2024 12:21 pm in Machine Learning

Q. Which of the following statement(s) can be true post adding a variable in a linear regression model?
1. R-Squared and Adjusted R-squared both increase
2. R-Squared increases and Adjusted R-squared decreases
3. R-Squared decreases and Adjusted R-squared decreases
4. R-Squared decreases and Adjusted R-squared increases

(A) 1 and 2
(B) 1 and 3
(C) 2 and 4
(D) None of the above

💬 Discuss

✅ Correct Answer: (A) 1 and 2

Published by Mr. Dubey ⭐ 111.54K Points at 26-Apr-2024 12:21 pm in Machine Learning

Machine Learning MCQs with answers Page - 14

Q. When it is necessary to allow the model to develop a generalization ability and avoid a common problem called . . . . . . . .

Q. Which of the following is true about Manhattan distance?

Q. Suppose, you have 2000 different models with their predictions and want to ensemble predictions of best x models. Now, which of the following can be a possible method to select the best x models for an ensemble?

Q. In a linear regression problem, we are using "R-squared" to measure goodness-of-fit. We add a feature in linear regression model and retrain the same model. Which of the following option is true?

Q. True or False: Ensemble of classifiers may or may not be more accurate than any of its individual model.

Q. This clustering algorithm terminates when mean values computed for the current iteration of the algorithm are identical to the computed mean values for the previous iteration Select one:

Q. scikit-learn offers the class. . . . . . . ., which is responsible for filling the holes using a strategy based on the mean, median, or frequency

Q. Which of the following function provides unsupervised prediction ?

Q. In the last decade, many researchers started training bigger and bigger models, built with several different layers that's why this approach is called . . . . . . . .

Programming Categories

📱 Download Our App