ROOT 6.10/09 Reference Guide 
Implementation of the SdivSqrtSplusB as separation criterion.
\( Index = \frac{S}{\sqrt{S+B}} \) (statistical significance)
Definition at line 44 of file SdivSqrtSplusB.h.
Public Member Functions  
SdivSqrtSplusB ()  
SdivSqrtSplusB (const SdivSqrtSplusB &g)  
virtual  ~SdivSqrtSplusB () 
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...  
virtual Double_t  GetSeparationIndex (const Double_t s, const Double_t b) 
Index = S/sqrt(S+B) (statistical significance) More...  
Public Member Functions inherited from TMVA::SeparationBase  
SeparationBase ()  
Constructor. More...  
SeparationBase (const SeparationBase &s)  
Copy constructor. More...  
virtual  ~SeparationBase () 
const TString &  GetName () 
Additional Inherited Members  
Protected Attributes inherited from TMVA::SeparationBase  
TString  fName 
Double_t  fPrecisionCut 
#include <TMVA/SdivSqrtSplusB.h>

inline 
Definition at line 49 of file SdivSqrtSplusB.h.

inline 
Definition at line 52 of file SdivSqrtSplusB.h.

inlinevirtual 
Definition at line 55 of file SdivSqrtSplusB.h.

virtual 
Separation Gain: the measure of how the quality of separation of the sample increases by splitting the sample e.g.
into a "leftnode" and a "rightnode" (N * Index_parent)  (N_left * Index_left)  (N_right * Index_right) this is then the quality criterion which is optimized for when trying to increase the information in the system (making the best selection
Reimplemented from TMVA::SeparationBase.
Definition at line 58 of file SdivSqrtSplusB.cxx.
Index = S/sqrt(S+B) (statistical significance)
Implements TMVA::SeparationBase.
Definition at line 44 of file SdivSqrtSplusB.cxx.