Definition at line 61 of file GiniIndexWithLaplace.h.

Public Member Functions
	GiniIndexWithLaplace ()

	GiniIndexWithLaplace (const GiniIndexWithLaplace &g)

virtual	~GiniIndexWithLaplace ()

virtual Double_t	GetSeparationIndex (const Double_t &s, const Double_t &b)
	Gini(Sample M) = 1 - (c(1)/N)^2 - (c(2)/N)^2 .... More...

Public Member Functions inherited from TMVA::SeparationBase
	SeparationBase ()

	SeparationBase (const SeparationBase &s)

virtual	~SeparationBase ()

const TString &	GetName ()

virtual Double_t	GetSeparationGain (const Double_t &nSelS, const Double_t &nSelB, const Double_t &nTotS, const Double_t &nTotB)
	Separation Gain: the measure of how the quality of separation of the sample increases by splitting the sample e.g. More...

Additional Inherited Members
Protected Attributes inherited from TMVA::SeparationBase
TString	fName

Double_t	fPrecisionCut

Inheritance diagram for TMVA::GiniIndexWithLaplace:

Constructor & Destructor Documentation

◆ GiniIndexWithLaplace() [1/2]

TMVA::GiniIndexWithLaplace::GiniIndexWithLaplace ( )

inline

Definition at line 66 of file GiniIndexWithLaplace.h.

TMVA::GiniIndexWithLaplace::GiniIndexWithLaplace ( const GiniIndexWithLaplace & g )

inline

Definition at line 69 of file GiniIndexWithLaplace.h.

virtual TMVA::GiniIndexWithLaplace::~GiniIndexWithLaplace ( )

inlinevirtual

Definition at line 72 of file GiniIndexWithLaplace.h.

Double_t TMVA::GiniIndexWithLaplace::GetSeparationIndex	(	const Double_t &	s,
		const Double_t &	b
	)

virtual

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 56 of file GiniIndexWithLaplace.cxx.

The documentation for this class was generated from the following files: