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. | |
virtual Double_t | GetSeparationIndex (const Double_t s, const Double_t b) |
Index = S/sqrt(S+B) (statistical significance) | |
Public Member Functions inherited from TMVA::SeparationBase | |
SeparationBase () | |
Constructor. | |
SeparationBase (const SeparationBase &s) | |
Copy constructor. | |
virtual | ~SeparationBase () |
const TString & | GetName () |
Additional Inherited Members | |
Protected Attributes inherited from TMVA::SeparationBase | |
TString | fName |
Double_t | fPrecisionCut |
#include <TMVA/SdivSqrtSplusB.h>
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inline |
Definition at line 49 of file SdivSqrtSplusB.h.
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inline |
Definition at line 52 of file SdivSqrtSplusB.h.
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inlinevirtual |
Definition at line 55 of file SdivSqrtSplusB.h.
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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 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.