strength.wsrf: Strength
In SimonYansenZhao/wsrf: Weighted Subspace Random Forest for Classification
strength.wsrf R Documentation
Strength
Description
Give the measure for the collective performance of
individual trees in the forest model built from wsrf.
Usage
## S3 method for class 'wsrf'
strength(object, ...)
Arguments
object
object of class wsrf.
...
optional additional arguments. At present no additional
arguments are used.
Details
The measure was introduced in Breiman (2001).
Value
A numeric value.
Author(s)
He Zhao and Graham Williams (SIAT, CAS)
References
Breiman, L. 2001 "Random forests". Machine learning,
45(1), 5–32.
See Also
wsrf
SimonYansenZhao/wsrf documentation built on Jan. 5, 2023, 9 p.m.
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| strength.wsrf | R Documentation |
Strength
Description
Give the measure for the collective performance of
individual trees in the forest model built from wsrf.
Usage
## S3 method for class 'wsrf' strength(object, ...)
Arguments
object |
object of class |
... |
optional additional arguments. At present no additional arguments are used. |
Details
The measure was introduced in Breiman (2001).
Value
A numeric value.
Author(s)
He Zhao and Graham Williams (SIAT, CAS)
References
Breiman, L. 2001 "Random forests". Machine learning, 45(1), 5–32.
See Also
wsrf
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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