Open AccessForward Variable Selection Improves the Power of Random Forest for High-Dimensional Micro Biome Data
Author(s) -
Tung Dang,
Hirohisa Kishino
Publication year - 2022
Publication title -
journal of cancer science and clinical therapeutics
Language(s) - English
Resource type - Journals
ISSN - 2637-5079
DOI - 10.26502/jcsct.5079147
Subject(s) - random forest , feature selection , computer science , curse of dimensionality , random variable , classifier (uml) , artificial intelligence , pattern recognition (psychology) , data mining , algorithm , machine learning , mathematics , statistics
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