RegressionVariance.cxx File Reference

#include <iostream>
#include "TMath.h"
#include "TMVA/RegressionVariance.h"

Include dependency graph for RegressionVariance.cxx:

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Functions
	ClassImp (TMVA::RegressionVariance) Double_t TMVA
	Separation Gain: the measure of how the quality of separation of the sample increases by splitting the sample e.g. More...

Function Documentation

ClassImp

(

TMVA::RegressionVariance

)

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 40 of file RegressionVariance.cxx.