RForestImportance2: RForestImportance2
In matpato/EEFR: Enhanced Ensemble Feature Ranking (EEFR)
Description
Usage
Arguments
Value
View source: R/RForestImportance2.R
Description
FSelector::random.forest.importance default importance.type=1 mean decrease in node accuracy. This variante option is importance.type=2 mean decrease in node impurity
Usage
1
RForestImportance2(formula, dataset)
Arguments
dataset
as specified in FSelector::random.forest.importance
Value
featurenames subset, ordered by its weights as specified in FSelector::random.forest.importance
matpato/EEFR documentation built on Dec. 21, 2021, 2:53 p.m.
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Description Usage Arguments Value
View source: R/RForestImportance2.R
Description
FSelector::random.forest.importance default importance.type=1 mean decrease in node accuracy. This variante option is importance.type=2 mean decrease in node impurity
Usage
1 | RForestImportance2(formula, dataset)
|
Arguments
dataset |
as specified in FSelector::random.forest.importance |
Value
featurenames subset, ordered by its weights as specified in FSelector::random.forest.importance
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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