CMS Wiki Pages - mva
https://wiki.physik.uzh.ch/cms/
2026-05-21T13:41:29+00:00CMS Wiki Pages
https://wiki.physik.uzh.ch/cms/
https://wiki.physik.uzh.ch/cms/_media/wiki:dokuwiki.svgtext/html2023-06-01T11:29:25+00:00Anonymous (anonymous@undisclosed.example.com)mva
https://wiki.physik.uzh.ch/cms/mva:mva?rev=1685618965&do=diff
How to run TMVA
TMVA is a tool to run a multivariate analysis in ROOT. Among many other methods, it includes boosted decision tree (BDT) and neural network (MLP). More information can be found at:
* Main website
* Manual
* TMVA Class Reference
* Factory Class Reference
* Reader Class Reference
* Official examples (C++)
When using the neural netwerk method MLP, you might need ROOT 5.34.0.0 or newer, to have larger buffer for the xml reader, for example:text/html2016-08-07T08:30:32+00:00Anonymous (anonymous@undisclosed.example.com)mvaexample
https://wiki.physik.uzh.ch/cms/mva:mvaexample?rev=1470558632&do=diff
import os
import ROOT
from ROOT import TFile, gDirectory, TChain, TObject, TMVA, TCut, TCanvas, THStack, TH1F
from array import array
from copy import deepcopy
from math import sqrt
import CMS_lumi, tdrstyle
from HHPlotterTools import *
ROOT.gROOT.SetBatch(ROOT.kTRUE) # run in batch mode, don't open plots
# GLOBAL VARIABLES
Methods = [ ]
methods = [ ]
# FILES & TREES
MVA_DIR = "/shome/ineuteli/CMSSW_5_3_24/src/MVA/"
fileS = TFile(MVA_DIR+"exoticProcess.root")
fileB = TFile(MVA_DIR+"boringProce…