Open AccessDesign, synthesis and experimental validation of novel potential chemopreventive agents using random forest and support vector machine binary classifiers
Author(s) -
Alexander Sedykh,
Hao Zhu,
Liying Zhang,
KuoHsiung Lee,
Harukuni Tokuda,
Marlene T. Kim,
Brienne Sprague,
Eiichiro Ichiishi,
Qian Shi
Publication year - 2020
Publication title -
unc libraries
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
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