15-18 April 2019
CERN
Europe/Zurich timezone
There is a live webcast for this event.

Feature ranking based on subtraction methods

17 Apr 2019, 14:20
20m
500-1-001 - Main Auditorium (CERN)

500-1-001 - Main Auditorium

CERN

400
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Speaker

Paul Glaysher (DESY)

Description

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

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