In multinomial logistic regression, what is used to calculate the probability of outcome occurring?
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?
Which metric would be most helpful in identifying a node that may cause network disruption if the node were removed?
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?