Open AccessModeling of Feature Selection Based on Random Forest Algorithm and Pearson Correlation Coefficient
Author(s) -
Masahiro Kai,
Meifang Tan,
Zheng-Hui Yang,
Shaoyue Shi
Publication year - 2022
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/2219/1/012046
Subject(s) - molecular descriptor , correlation coefficient , pearson product moment correlation coefficient , random forest , feature selection , correlation , feature (linguistics) , pattern recognition (psychology) , selection (genetic algorithm) , mathematics , quantitative structure–activity relationship , artificial intelligence , statistics , algorithm , computer science , machine learning , linguistics , philosophy , geometry