Submitted by: Jennifer Cheek

Question: 1

In multinomial logistic regression, what is used to calculate the probability of outcome occurring?

A. Logistic function applied to a linear combination of the input and outcome variables

B. Linear regression applied to a combination of input variables

C. Linear regression applied to a combination of input and outcome variables

D. Logistic function applied to a linear combination of the input variables

Answer: B

Question: 2

What is a characteristic of spark?

A. Unable to run map -> reduce execution plans

B. Supports applications written in Python, Java, and Scala

C. Less efficient processing small files than Hadoop MapReduce

D. Supports workflows that can return to previous work steps

Answer: B

Question: 3

In a connected, undirected graph of 5 nodes with 10 edges, how many more edges need to be added to make the clustering coefficient of every node equal 1?

A. 0

B. 5

C. 10

D. 15

Answer: A

Question: 4

Which metric would be most helpful in identifying a node that may cause network disruption if the node were removed?

A. Degree

B. Closeness

C. Betweenness

D. PageRank

Answer: A

Question: 5

The naive Bayer classifier is trained over 1600 movie reviews and then tested over 400 reviews.

Here is the resulting confusion matrix:

190 (TP) 10(FN)

80 (FP) 120(TN)

What are the precision, recall, and the F1-score values?

A. Precision0.95; Recall: 0704; F1-score: 0.809

B. Precision 0.613, Recall: 0.95, F1-score: 0.745

C. Precision 0.704, Recall: 0.95; F1-score: 0.809

D. Precision 0.95; Recall: 0.613; F1-score: 0.745

Answer: C

Question: 6

What is a property of a good color model for ordinal data?

A. Uses a rainbow-like color map for distinction of categories

B. Uses a rainbow-like color map for ease of display and printing

C. Uses perceptually ordinal colors with just-noticeable increments

D. Uses perceptually ordinal colors with linear, perceptual increments

Answer: D

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