softening.by.esd: Soften splits separately using error standard deviation.
In SplitSoftening: Softening Splits in Decision Trees
Description
Usage
Arguments
Details
References
View source: R/bounds_by_esd.R
Description
Set boundaries determined by given data to the splits in the tree,
such that in any inner node if its splitting value would be moved there,
then the number of misclassified cases in this node would be one standard deviation over the actual misclassification.
Usage
1
softening.by.esd(fit, d)
Arguments
fit
The soft tree
d
The data set
Details
This is the same approach as C4.5 uses for "probabilistic splits"
References
Quinlan, J. Ross (1993), C4.5: programs for machine learning, San Francisco, CA, USA: Morgan Kaufmann Publishers Inc.
SplitSoftening documentation built on Oct. 8, 2021, 5:07 p.m.
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Description Usage Arguments Details References
View source: R/bounds_by_esd.R
Description
Set boundaries determined by given data to the splits in the tree, such that in any inner node if its splitting value would be moved there, then the number of misclassified cases in this node would be one standard deviation over the actual misclassification.
Usage
1 | softening.by.esd(fit, d)
|
Arguments
fit |
The soft tree |
d |
The data set |
Details
This is the same approach as C4.5 uses for "probabilistic splits"
References
Quinlan, J. Ross (1993), C4.5: programs for machine learning, San Francisco, CA, USA: Morgan Kaufmann Publishers Inc.
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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