Definition at line 70 of file RegressionVariance.h.
#include <TMVA/RegressionVariance.h>
◆ RegressionVariance() [1/2]
TMVA::RegressionVariance::RegressionVariance |
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◆ RegressionVariance() [2/2]
◆ ~RegressionVariance()
virtual TMVA::RegressionVariance::~RegressionVariance |
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◆ GetName()
TString TMVA::RegressionVariance::GetName |
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◆ GetSeparationGain()
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.
◆ GetSeparationIndex()
◆ fName
TString TMVA::RegressionVariance::fName |
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The documentation for this class was generated from the following files: