forest_auc: Calculate the ROC-AUC from a randomForest model
In wilsontom/modelmisc: Miscellaneous tools for modelling
Description
Usage
Arguments
Value
Description
Calculte the training ROC-AUC for a randomForest model. The votes cast during out-of-bag (OOB) predictions are used for
the predicition of class. If classification is multinomial, then Hand and Till's (2001) method for multi-class AUC is used. If
classification is binary, then the standard ROC-AUC apprach is used.
Usage
1
forest_auc(model)
Arguments
model
a randomForest classification model
Value
a numeric value for ROC-AUC
wilsontom/modelmisc documentation built on Nov. 22, 2019, 12:22 a.m.
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Description Usage Arguments Value
Description
Calculte the training ROC-AUC for a randomForest model. The votes cast during out-of-bag (OOB) predictions are used for the predicition of class. If classification is multinomial, then Hand and Till's (2001) method for multi-class AUC is used. If classification is binary, then the standard ROC-AUC apprach is used.
Usage
1 | forest_auc(model)
|
Arguments
model |
a randomForest classification model |
Value
a numeric value for ROC-AUC
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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