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Reference Guide
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TMVA::GiniIndex Class Reference

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 TStringGetName ()
 
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
 

#include <TMVA/GiniIndex.h>

Inheritance diagram for TMVA::GiniIndex:
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Constructor & Destructor Documentation

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.

Member Function Documentation

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

Implements TMVA::SeparationBase.

Definition at line 60 of file GiniIndex.cxx.


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