I have problem for computing the entropy of parrent

Question

Imagine we have a data set containing 3 attributes (a,b,c) and we have two label of class(0,1) . We want to make a decision tree using information gain. Imagine that we found infogain a>b>c so the a would be the root of the tree. At first for computing the entropy of parent , I know that we count the number of 0 and 1 in class label column but after we found that a is root and in the next term a should be parent, how should we compute the entropy of a as a parent?

Answer 1

try this,it was tested using VS and Postman. It doesn't need any custom converter

using Newtonsoft.Json.Linq;
....

public string GetTarget([FromBody] JObject settingsObj)
{
Settings settings;
     
if (settingsObj["settings"] != null)  settings = settingsObj["settings"].ToObject<Settings>();
else settings = settingsObj.ToObject<Settings>();
    ......
}

public class Settings
{
    public int Target { get; set; }
    public int UserId { get; set; }
}