Download the firewall.csv Download firewall.csv dataset. Using Weka, create a J$48$ decision tree that predicts the $$class$$ variable. Answer the following questions in a Word document or a PDF:

Put a screenshot of your decision tree

Does your decision tree classify every instance correctly?

What is the maximum number of $$questions$$ you must ask to predict an incoming data instance?

What attribute and threshold produces the most information gain in the original data set $($that is$,$ which attribute is evaluated at the root of the tree?$)$

Suppose you were given the following observation:

Source Port: $5403$

Destination Port: $80$

NAT Source Port: $10000$

NAT Destination Port: $80$

Bytes: $120$

Bytes Sent: $80$

Bytes Received: $40$

Packets: $4$

Elapsed Time $($sec$)$: $30$

pkts$\_$sent: $3$

pkts$\_$received: $1$

How would your decision tree classify this observation $($allow$,$ drop, deny, reset$-$both$)?$