Machine Learning MCQ Questions with answers and solutions Page 20

Q. . . . . . . . . is much more difficult because it's necessary to determine a supervised strategy to train a model for each feature and, finally, to predict their value

(A) removing the whole line
(B) creating sub-model to predict those features
(C) using an automatic strategy to input them according to the other known values
(D) all above

💬 Discuss

✅ Correct Answer: (B) creating sub-model to predict those features

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

Q. Which of the folllowing is an example of feature extraction?

(A) construction bag of words from an email
(B) applying pca to project high dimensional data
(C) removing stop words
(D) forward selection

💬 Discuss

✅ Correct Answer: (B) applying pca to project high dimensional data

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

Q. Clustering is . . . . . . . . and is example of . . . . . . . . learning

(A) predictive and supervised
(B) predictive and unsupervised
(C) descriptive and supervised
(D) descriptive and unsupervised

💬 Discuss

✅ Correct Answer: (D) descriptive and unsupervised

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

Q. A perceptron adds up all the weighted inputs it receives, and if it exceeds a certain value, it outputs a 1, otherwise it just outputs a 0.

(A) TRUE
(B) C1: (6,6), C2: (4,4), C3: (9,9)
(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. 8 observations are clustered into 3 clusters using K-Means clustering algorithm. After first iteration clusters, C1, C2, C3 has following observations:
C1: {(2,2), (4,4), (6,6)}
C2: {(0,4), (4,0),(2,5)}
C3: {(5,5), (9,9)}
What will be the cluster centroids if you want to proceed for second iteration?

(A) C1: (4,4), C2: (2,2), C3: (7,7)
(B) to decrease the efficiency, do level-wise generation of frequent item sets
(C) C1: (2,2), C2: (0,0), C3: (5,5)
(D) C1: (4,4), C2: (3,3), C3: (7,7)

💬 Discuss

✅ Correct Answer: (D) C1: (4,4), C2: (3,3), C3: (7,7)

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

Q. Any linear combination of the components of a multivariate Gaussian is a univariate Gaussian.

(A) TRUE
(B) convolutional neural network
(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. What is the final resultant cluster size in Divisive algorithm, which is one of the hierarchical clustering approaches?

(A) zero
(B) three
(C) singleton
(D) two

💬 Discuss

✅ Correct Answer: (C) singleton

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

Q. The adjusted multiple coefficient of determination accounts for

(A) the number of dependent variables in the model
(B) the number of independent variables in the model
(C) unusually large predictors
(D) none of the above

💬 Discuss

✅ Correct Answer: (D) none of the above

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

Q. What is the sequence of the following tasks in a perceptron? Initialize weights of perceptron randomly Go to the next batch of dataset If the prediction does not match the output, change the weights For a sample input, compute an output

(A) 1, 4, 3, 2
(B) 3, 1, 2, 4
(C) 4, 3, 2, 1
(D) 1, 2, 3, 4

💬 Discuss

✅ Correct Answer: (A) 1, 4, 3, 2

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

Q. Which of the following selects only a subset of features belonging to a certain percentile

(A) selectpercentile
(B) featurehasher
(C) selectkbest
(D) all above

💬 Discuss

✅ Correct Answer: (A) selectpercentile

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

Machine Learning MCQs with answers Page - 20

Q. . . . . . . . . is much more difficult because it's necessary to determine a supervised strategy to train a model for each feature and, finally, to predict their value

Q. Which of the folllowing is an example of feature extraction?

Q. Clustering is . . . . . . . . and is example of . . . . . . . . learning

Q. A perceptron adds up all the weighted inputs it receives, and if it exceeds a certain value, it outputs a 1, otherwise it just outputs a 0.

Q. Any linear combination of the components of a multivariate Gaussian is a univariate Gaussian.

Q. What is the final resultant cluster size in Divisive algorithm, which is one of the hierarchical clustering approaches?

Q. The adjusted multiple coefficient of determination accounts for

Q. What is the sequence of the following tasks in a perceptron? Initialize weights of perceptron randomly Go to the next batch of dataset If the prediction does not match the output, change the weights For a sample input, compute an output

Q. Which of the following selects only a subset of features belonging to a certain percentile

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