class TMVA::SdivSqrtSplusB: public TMVA::SeparationBase

Function Members (Methods)

public:

virtual	~SdivSqrtSplusB()
static TClass*	Class()
const TString&	TMVA::SeparationBase::GetName()
virtual Double_t	GetSeparationGain(const Double_t& nSelS, const Double_t& nSelB, const Double_t& nTotS, const Double_t& nTotB)
virtual Double_t	GetSeparationIndex(const Double_t& s, const Double_t& b)
virtual TClass*	IsA() const
TMVA::SdivSqrtSplusB&	operator=(const TMVA::SdivSqrtSplusB&)
TMVA::SdivSqrtSplusB	SdivSqrtSplusB()
TMVA::SdivSqrtSplusB	SdivSqrtSplusB(const TMVA::SdivSqrtSplusB& g)
TMVA::SeparationBase	TMVA::SeparationBase::SeparationBase()
TMVA::SeparationBase	TMVA::SeparationBase::SeparationBase(const TMVA::SeparationBase& s)
virtual void	ShowMembers(TMemberInspector& insp) const
virtual void	Streamer(TBuffer&)
void	StreamerNVirtual(TBuffer& ClassDef_StreamerNVirtual_b)

Data Members

protected:

TString	TMVA::SeparationBase::fName	name of the concrete Separation Index impementation
Double_t	TMVA::SeparationBase::fPrecisionCut

Class Charts

Inheritance Inherited Members Includes Libraries

Function documentation

Double_t GetSeparationIndex(const Double_t& s, const Double_t& b)

 Index = S/sqrt(S+B)  (statistical significance)

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. into a "left-node" and a "right-node"
 (N * Index_parent) - (N_left * Index_left) - (N_right * Index_right)
 this is then the quality crition which is optimized for when trying
 to increase the information in the system (making the best selection

SdivSqrtSplusB()

constructor for the "statistical significance" index

{ fName = "StatSig"; }

SdivSqrtSplusB(const TMVA::SdivSqrtSplusB& g)

 copy constructor

{}

virtual ~SdivSqrtSplusB()

destructor

{}