#include "TMVA/GiniIndexWithLaplace.h"

Include dependency graph for GiniIndexWithLaplace.cxx:

Functions
	ClassImp (TMVA::GiniIndexWithLaplace) Double_t TMVA
	Gini(Sample M) = 1 - (c(1)/N)^2 - (c(2)/N)^2 .... More...

Function Documentation

ClassImp ( TMVA::GiniIndexWithLaplace )

Gini(Sample M) = 1 - (c(1)/N)^2 - (c(2)/N)^2 ....

(c(k)/N)^2 Where: M is a smaple of whatever N elements (events) that belong to K different classes c(k) is the number of elements that belong to class k Laplace's correction to the prob.density c/N –> (c+1)/(N+2) for just Signal and Background classes this then boils down to: Gini(Sample) = 2(s*b+s+b+1)/(s+b+2)^2

Definition at line 43 of file GiniIndexWithLaplace.cxx.

Functions