Problem Description:

This lab follows the Lab 1.

Here is a set of data that will also be used in the assignment 1: A1-data.csv. The attribute "AGE" is a continuous attribute. In order to duild a decision tree using the given data set, the values in the "AGE" attribute need to be split into two categories.

The two types of algorithms mentioned in Lab 1 only consider the value distribution in the "AGE" attribute only, and don't take the target attribute value distribution into consideration.

Your tasks:

• Design and implement a program to find the "best" split threshold value to perform the two-way split for the "AGE" attribute based on the GINI information.
• Pre-process the data and transform the "AGE" attribute to a categorical one based on the split value found in the previous step.