ROOT 6.07/09 Reference Guide |
Definition at line 70 of file RegressionVariance.h.
Public Member Functions | |
RegressionVariance () | |
RegressionVariance (const RegressionVariance &s) | |
virtual | ~RegressionVariance () |
TString | GetName () |
Double_t | GetSeparationGain (const Double_t &nLeft, const Double_t &targetLeft, const Double_t &target2Left, const Double_t &nTot, const Double_t &targetTot, const Double_t &target2Tot) |
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 &n, const Double_t &target, const Double_t &target2) |
Separation Index: a simple Variance. More... | |
Protected Attributes | |
TString | fName |
#include <TMVA/RegressionVariance.h>
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Definition at line 75 of file RegressionVariance.h.
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Definition at line 78 of file RegressionVariance.h.
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Definition at line 81 of file RegressionVariance.h.
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Definition at line 92 of file RegressionVariance.h.
Double_t TMVA::RegressionVariance::GetSeparationGain | ( | const Double_t & | nLeft, |
const Double_t & | targetLeft, | ||
const Double_t & | target2Left, | ||
const Double_t & | nTot, | ||
const Double_t & | targetTot, | ||
const Double_t & | target2Tot | ||
) |
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 for the Regression: as the "Gain is maximised", the RMS (sqrt(variance)) which is used as a "separation" index should be as small as possible. the "figure of merit" here has to be -(rms left+rms-right) or 1/rms...
Definition at line 53 of file RegressionVariance.cxx.
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Separation Index: a simple Variance.
Definition at line 72 of file RegressionVariance.cxx.
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Definition at line 96 of file RegressionVariance.h.