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URL: https://github.com/ModelOriented/randomForestExplainer
Proper Citation: randomForestExplainer (RRID:SCR_021823)
Description: Software R package to help explain which variables are most important in random forests. Various variable importance measures are calculated and visualized in different settings in order to get idea on how their importance changes classification or regression model accuracy.
Resource Type: software toolkit, software resource
Keywords: important variables, random forests, importance measures, importance changes classification, regression model accuracy
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