Implementation of the GiniIndex as separation criterion
virtual | ~GiniIndex() |
static TClass* | Class() |
const TString& | TMVA::SeparationBase::GetName() |
virtual Double_t | TMVA::SeparationBase::GetSeparationGain(const Double_t& nSelS, const Double_t& nSelB, const Double_t& nTotS, const Double_t& nTotB) |
virtual Double_t | GetSeparationIndex(const Double_t& s, const Double_t& b) |
TMVA::GiniIndex | GiniIndex() |
TMVA::GiniIndex | GiniIndex(const TMVA::GiniIndex& g) |
virtual TClass* | IsA() const |
TMVA::GiniIndex& | operator=(const TMVA::GiniIndex&) |
virtual void | ShowMembers(TMemberInspector&) |
virtual void | Streamer(TBuffer&) |
void | StreamerNVirtual(TBuffer& ClassDef_StreamerNVirtual_b) |
TString | TMVA::SeparationBase::fName | name of the concrete Separation Index impementation |
Double_t | TMVA::SeparationBase::fPrecisionCut |
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