Open AccessQuantitative modeling for prediction of boiling points of phenolic compounds
Author(s) -
Soumaya Kherouf,
Nabil Bouarra,
Djelloul Messadi
Publication year - 2019
Publication title -
international journal of chemistry and technology
Language(s) - English
Resource type - Journals
ISSN - 2602-277X
DOI - 10.32571/ijct.636581
Subject(s) - quantitative structure–activity relationship , applicability domain , molecular descriptor , cross validation , linear regression , mathematics , partial least squares regression , test set , loo , set (abstract data type) , boiling point , biological system , regression analysis , algorithm , chemistry , computer science , statistics , machine learning , organic chemistry , biology , programming language
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