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E20-065 Practice Questions

E20-065 Practice Questions

Question# 1

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

Question# 2

What is a characteristic of spark?

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?

Question# 4

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

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?

Note:

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E20-065 Practice Questions

E20-065 Practice Questions

Question# 1

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

Question# 2

What is a characteristic of spark?

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?

Question# 4

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

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?

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