I am going through the tutorial at this site. Here, I can see the author is explaining the derivation of Gini Index. I want to understand the following terms
- Classes : As far as I have understood, it represents the possible values of labels in the data which we are supposed to classify. Please correct me if I am wrong.
The website here states that it is the difference between 1 and the probabilities of the classified values within the dataset while creating the split. But the first link does add some more points to the simple derivation. Can anyone please explain in layman terms the derivation of Gini Index?