Report

Discretization is a common process used in data mining applications that  transforms quantitative data into qualitative data. Different methods have been  proposed in order to achieve this process. The stand stone in the discretization  algorithm is to find potential cut-points which split continuous range values into  nominal values. So the discretization methods vary according to how to find these  cut-points. Entropy-based method is one of discretization methods however using  information entropy measure.

This is our data:

Firstly, we need to find entropy for classe

Second, find entropy for estadoCivil and calculate information gain

Then, find entropy for naconalidade and calculate information gain

And finally find entropy for altura and calculate information gain

So, according to my calculation, im gonna pick naconalidade


Report Discretization is a common process used in data mining applications that transforms quantitative data into qualitative data . Different methods have been proposed in order to achieve this process . The stand stone in the discretization algorithm is to find potential cut - points which split continuous range values into nominal values . So the discretization methods vary according to how to find these cut - points . Entropy - based method is one of discretization methods however using information entropy measure . This is our data : Firstly , we need to find entropy for classe Second , find entropy for estadoCivil and calculate information gain Then , find entropy for naconalidade and calculate information gain And finally find entropy for altura and calculate information gain So , according to my calculation , i m gon na pick naconalidade