UG409764 Artificial Intelligence Assignment 2b Brief | UHI

Instructions

This assignment is worth 5% of your final mark for AI. It will be marked out of 5 but is 1/5th of the Assignment 2 15 marks total. There is a piece of code which you need to analyse, research its purpose produce a very short report and add the confusion matrix, so you need to be clear and concise.

Part (a): 

worth 3 mark, tests your ability to analyse and evaluate the function of the program.

a.  Start by giving a very brief outline of REPTree (not too exhaustively remember, it’s all only worth five marks!)
b. Fine-tunethe classification output by using some of the parameters of REPTree in the tutorial provided.

Part (b):

Explain the visualisation of the tree. What values has the tree used for branching off splitting the nodes? (2 marks)

Background

A decision tree is similar to a structure akin to a flowchart. Each internal node represents a "test" on an attribute (e.g. whether a coin flip comes up heads or tails), each branch represents the outcome of the test, and each leaf node represents a class label (decision taken after computing all attributes). The paths from root to leaf represent classification rules.