Open AccessDesign, synthesis and experimental validation of novel potential chemopreventive agents using random forest and support vector machine binary classifiers
Author(s) -
Brienne Sprague,
Qian Shi,
Marlene T. Kim,
Liying Zhang,
Alexander Sedykh,
Eiichiro Ichiishi,
Harukuni Tokuda,
KuoHsiung Lee,
HaiLiang Zhu
Publication year - 2014
Publication title -
carolina digital repository (university of north carolina at chapel hill)
Language(s) - English
DOI - 10.17615/pwcn-qk42
Subject(s) - random forest , support vector machine , binary number , computer science , binary classification , artificial intelligence , machine learning , pattern recognition (psychology) , mathematics , arithmetic