ooberror.randomForest: Extract OOB error from a randomForest model
In talegari/forager: Compute auxiliary information (proximity, dissimilarity, outlyingness, depth) and imputation from tree ensembles on new data
Description
Extract OOB error from a randomForest model
Usage
1
2
## S3 method for class 'randomForest'
oob_error(model)
Arguments
model
forest model of class: randomForest
talegari/forager documentation built on May 3, 2019, 4:01 p.m.
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Description
Extract OOB error from a randomForest model
Usage
1 2 | ## S3 method for class 'randomForest'
oob_error(model)
|
Arguments
model |
forest model of class: randomForest |
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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