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SdivSqrtSplusB.h
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1// @(#)root/tmva $Id$
2// Author: Andreas Hoecker, Joerg Stelzer, Helge Voss, Kai Voss
3
4/**********************************************************************************
5 * Project: TMVA - a Root-integrated toolkit for multivariate data analysis *
6 * Package: TMVA *
7 * Class : SdivSqrtSplusB *
8 * Web : http://tmva.sourceforge.net *
9 * *
10 * Description: Implementation of the SdivSqrtSplusB as separation criterion *
11 * S/sqrt(S + B) *
12 * *
13 * Authors (alphabetical): *
14 * Andreas Hoecker <Andreas.Hocker@cern.ch> - CERN, Switzerland *
15 * Helge Voss <Helge.Voss@cern.ch> - MPI-K Heidelberg, Germany *
16 * Kai Voss <Kai.Voss@cern.ch> - U. of Victoria, Canada *
17 * *
18 * Copyright (c) 2005: *
19 * CERN, Switzerland *
20 * U. of Victoria, Canada *
21 * Heidelberg U., Germany *
22 * *
23 * Redistribution and use in source and binary forms, with or without *
24 * modification, are permitted according to the terms listed in LICENSE *
25 * (http://tmva.sourceforge.net/LICENSE) *
26 **********************************************************************************/
27
28#ifndef ROOT_TMVA_SdivSqrtSplusB
29#define ROOT_TMVA_SdivSqrtSplusB
30
31//////////////////////////////////////////////////////////////////////////
32// //
33// SdivSqrtSplusB //
34// //
35// Implementation of the SdivSqrtSplusB as separation criterion //
36// Index = S/sqrt(S+B) (statistical significance) //
37// //
38//////////////////////////////////////////////////////////////////////////
39
40#include "TMVA/SeparationBase.h"
41
42namespace TMVA {
43
45
46 public:
47
48 //constructor for the "statistical significance" index
49 SdivSqrtSplusB(): SeparationBase() { fName = "StatSig"; }
50
51 // copy constructor
53
54 //destructor
55 virtual ~SdivSqrtSplusB() {}
56
57 // Return the gain in separation of the original sample is split in two sub-samples
58 // (N * Index_parent) - (N_left * Index_left) - (N_right * Index_right)
59 virtual Double_t GetSeparationGain( const Double_t nSelS, const Double_t nSelB,
60 const Double_t nTotS, const Double_t nTotB );
61 // return the Index (S/sqrt(S+B))
62 virtual Double_t GetSeparationIndex( const Double_t s, const Double_t b );
63
64 protected:
65
66 ClassDef(SdivSqrtSplusB,0); // Implementation of the SdivSqrtSplusB as separation criterion
67 };
68
69} // namespace TMVA
70
71#endif
72
#define b(i)
Definition: RSha256.hxx:100
#define g(i)
Definition: RSha256.hxx:105
double Double_t
Definition: RtypesCore.h:59
#define ClassDef(name, id)
Definition: Rtypes.h:325
Implementation of the SdivSqrtSplusB as separation criterion.
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 th...
SdivSqrtSplusB(const SdivSqrtSplusB &g)
virtual Double_t GetSeparationIndex(const Double_t s, const Double_t b)
Index = S/sqrt(S+B) (statistical significance)
An interface to calculate the "SeparationGain" for different separation criteria used in various trai...
static constexpr double s
create variable transformations