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Q. Which statement is true about prediction problems?

(A) the output attribute must be categorical.
(B) the output attribute must be numeric.
(C) the resultant model is designed to determine future outcomes.
(D) the resultant model is designed to classify current behavior.

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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

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

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

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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) ---

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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)

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

(A) TRUE
(B) convolutional neural network
(C) ---
(D) ---

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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

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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

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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

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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

Machine Learning MCQs with answers Page - 17

Q. Which statement is true about prediction problems?

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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