compute_shattering: Calculates the shattering coefficient for a decision tree.
In shatteringdt: Provide SLT Tools for 'rpart' and 'tree' to Study Decision Trees
Description
Usage
Arguments
Value
View source: R/compute_shattering.R
Description
Using a recursion function as auxiliar function,
calculates the shattering coefficient for a rpart decision tree.
Usage
1
compute_shattering(rpart.tree, n_samples)
Arguments
rpart.tree
rpart.tree. A Decision tree generated by rpart package.
n_samples
int. The # of samples to consider in dataset.
Value
The calculus of the shattering coefficient.
shatteringdt documentation built on March 3, 2021, 9:05 a.m.
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Description Usage Arguments Value
View source: R/compute_shattering.R
Description
Using a recursion function as auxiliar function, calculates the shattering coefficient for a rpart decision tree.
Usage
1 | compute_shattering(rpart.tree, n_samples)
|
Arguments
rpart.tree |
rpart.tree. A Decision tree generated by rpart package. |
n_samples |
int. The # of samples to consider in dataset. |
Value
The calculus of the shattering coefficient.
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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