Analysis of feature importance by Wrapper method using single feature elimination.

Analysis of feature importance by Wrapper method using single feature elimination.

<p>Analysis of feature importance by Wrapper method using single feature elimination.</p>

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Bibliographic Details
Main Author:	Lillian Li (11337679) (author)
Other Authors:	Sung-In Back (21526276) (author), Jian Ma (170138) (author), Yawen Guo (3167700) (author), Thomas Galeandro-Diamant (21526279) (author), Didier Clénet (21526282) (author)
Published:	2025
Subjects:	Science Policy Biological Sciences not elsewhere classified Mathematical Sciences not elsewhere classified Information Systems not elsewhere classified using test datasets useful complementary tool shapeley additive explanations provide additional insights preventing infectious diseases infectious titer loss global health needs glass transition temperature critical quality attributes models &# 8217 validation matrices two cases stepwise analysis prediction accuracy permutation importance model quality manuscript highlights machine learning liquid form linear responses innovative approaches formulation development experimental design dried form data science better stability bayesian optimization artificial intelligence
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