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Reference Guide
TMVA::SeparationBase Class Referenceabstract

An interface to calculate the "SeparationGain" for different separation criteria used in various training algorithms.

There are two things: the Separation Index, and the Separation Gain Separation Index: Measure of the "purity" of a sample. If all elements (events) in the sample belong to the same class (e.g. signal or background), than the separation index is 0 (meaning 100% purity (or 0% purity as it is symmetric. The index becomes maximal, for perfectly mixed samples eg. purity=50% , N_signal = N_bkg

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 criterion which is optimized for when trying to increase the information in the system (making the best selection

Definition at line 82 of file SeparationBase.h.

Public Member Functions

 SeparationBase ()
 Constructor. More...
 
 SeparationBase (const SeparationBase &s)
 Copy constructor. More...
 
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...
 
virtual Double_t GetSeparationIndex (const Double_t s, const Double_t b)=0
 

Protected Attributes

TString fName
 
Double_t fPrecisionCut
 

#include <TMVA/SeparationBase.h>

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

◆ SeparationBase() [1/2]

TMVA::SeparationBase::SeparationBase ( )

Constructor.

Definition at line 76 of file SeparationBase.cxx.

◆ SeparationBase() [2/2]

TMVA::SeparationBase::SeparationBase ( const SeparationBase s)

Copy constructor.

Definition at line 86 of file SeparationBase.cxx.

◆ ~SeparationBase()

virtual TMVA::SeparationBase::~SeparationBase ( )
inlinevirtual

Definition at line 93 of file SeparationBase.h.

Member Function Documentation

◆ GetName()

const TString& TMVA::SeparationBase::GetName ( )
inline

Definition at line 104 of file SeparationBase.h.

◆ GetSeparationGain()

Double_t TMVA::SeparationBase::GetSeparationGain ( const Double_t  nSelS,
const Double_t  nSelB,
const Double_t  nTotS,
const Double_t  nTotB 
)
virtual

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 criterion which is optimized for when trying to increase the information in the system (making the best selection

Reimplemented in TMVA::SdivSqrtSplusB.

Definition at line 101 of file SeparationBase.cxx.

◆ GetSeparationIndex()

virtual Double_t TMVA::SeparationBase::GetSeparationIndex ( const Double_t  s,
const Double_t  b 
)
pure virtual

Member Data Documentation

◆ fName

TString TMVA::SeparationBase::fName
protected

Definition at line 108 of file SeparationBase.h.

◆ fPrecisionCut

Double_t TMVA::SeparationBase::fPrecisionCut
protected

Definition at line 110 of file SeparationBase.h.

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