Definition at line 65 of file GiniIndex.h.

Public Member Functions
	GiniIndex ()

	GiniIndex (const GiniIndex &g)

virtual	~GiniIndex ()

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::GiniIndex:

Constructor & Destructor Documentation

◆ GiniIndex() [1/2]

TMVA::GiniIndex::GiniIndex ( )

inline

Definition at line 70 of file GiniIndex.h.

TMVA::GiniIndex::GiniIndex ( const GiniIndex & g )

inline

Definition at line 73 of file GiniIndex.h.

virtual TMVA::GiniIndex::~GiniIndex ( )

inlinevirtual

Definition at line 76 of file GiniIndex.h.

Double_t TMVA::GiniIndex::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 for just Signal and Background classes this boils down to: Gini(Sample) = 2s*b/(s+b)^2 ( = 2 * purity * (1-purity) )

!! what we use here is 2*Gini.. as for the later use the factor 2 is irrelevant and hence I'd like to save this calculation

Definition at line 60 of file GiniIndex.cxx.

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