Speaker
Sebastiano Stramaglia
(UNIBA & INFN, Sezione di Bari)
Description
Leveraging the large body of work devoted in recent years to describe redundancy and synergy in higher order interactions among random variables, we propose an adaptive version of a well-known metric of feature importance, named Leave One Covariate Out (LOCO), to disentangle high-order effects involving a given input feature in regression problems. Applications to biological data sets will be described.
| Role | Professor/PI |
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Primary author
Sebastiano Stramaglia
(UNIBA & INFN, Sezione di Bari)
