Data Analytics and Mining

Question: Assume that you are a computer network engineer at Evil Corp., who is building an automated classification system that can determine if an incoming data packet into your firm's network carries malicious code (e.g. virus) or not. Below is your network log, which shows information about some of the prior packets and their class labels - i.e. whether they were malicious or not. White-listed IP Yes Yes No Source Asia Asia Asia Asia Asia Asia US US US Yes No No Yes No Packet Size Small Large Small Small Medium Medium Large Medium Medium App Type HTTP FTP HTTP HTTP HTTP HTTP FTP HTTP HTTP Malicious Packet? Yes Yes No Yes No Yes No No No No The packet that you are interested in classifying with this system has the following characteristics: Source Asia White-listed IP No Packet Size Small App Type HTTP Malicious Packet? ? Build two classification models using both Decision Tree and Nave Bayes methods and decide whether to accept this packet or not. Note: You need to manually implement these methods and show all your calculations