Apr 15 – 18, 2019
Europe/Zurich timezone
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Feature ranking based on subtraction methods

Apr 17, 2019, 2:20 PM
500/1-001 - Main Auditorium (CERN)

500/1-001 - Main Auditorium


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Paul Glaysher (DESY)


The input variables of ML methods in physics analysis are often highly correlated and figuring out which ones are the most important ones for the classification turns out to be a non-trivial tasks. We compare the standard method of TMVA to rank variables with a several newly developed methods based on iterative removal for the use case of a search for top pair associated Higgs production (ttH) in the Higgs to b-pair decay channel.

Preferred contribution length 20 minutes

Primary authors

Paul Glaysher (DESY) Sitong An (CERN, Carnegie Mellon University (US)) Judith Katzy (Deutsches Elektronen-Synchrotron (DE))

Presentation materials