In multinomial logistic regression, what is used to calculate the probability of outcome occurring?
Question No 2
What is a characteristic of spark?
Question No 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 No 4
Which metric would be most helpful in identifying a node that may cause network disruption if the
node were removed?
Question No 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?