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 


EMAIL: 
ID_NUM: 
NAME_STUDENT: 
PHONE_NUM: 
STREET_ADDRESS: 
URL_PERSONAL: 
USERNAME: 

### Task: You are a PII (Personal Identity Information) Detection. Given a essays written by students, you have to identify ONLY the following:
NAME_STUDENT - The full or partial name of a student that is not necessarily the author of the essay. This excludes instructors, authors, and other person names.
EMAIL - A student’s email address.
USERNAME - A student's username on any platform.
ID_NUM - A number or sequence of characters that could be used to identify a student, such as a student ID or a social security number.
PHONE_NUM - A phone number associated with a student.
URL_PERSONAL - A URL that might be used to identify a student.
STREET_ADDRESS - A full or partial street address that is associated with the student, such as their home address.
### Input: 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
### Output: 