SeparationBase An interface to calculate the "SeparationGain" for different separation critiera 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 backgr), 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 crition which is optimized for when trying to increase the information in the system (making the best selection
virtual | ~SeparationBase() |
static TClass* | Class() |
const TString& | GetName() |
virtual Double_t | 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) |
virtual TClass* | IsA() const |
TMVA::SeparationBase& | operator=(const TMVA::SeparationBase&) |
TMVA::SeparationBase | SeparationBase() |
TMVA::SeparationBase | SeparationBase(const TMVA::SeparationBase& s) |
virtual void | ShowMembers(TMemberInspector& insp) const |
virtual void | Streamer(TBuffer&) |
void | StreamerNVirtual(TBuffer& ClassDef_StreamerNVirtual_b) |
Inheritance Chart: | |||||||||||||||||||||
|
Return the gain in separation of the original sample is splitted in two sub-samples (N * Index_parent) - (N_left * Index_left) - (N_right * Index_right)
Return the separation index (a measure for "purity" of the sample") Return the name of the concrete Index implementation
{ return fName; }