confidence_interval: Calculates the confidence interval for the dataset.
In shatteringdt: Provide SLT Tools for 'rpart' and 'tree' to Study Decision Trees
Description
Usage
Arguments
Value
View source: R/confidence_interval.R
Description
Calculates # of samples needed to ensure learning with,
a certain confidence interval simulated.
Usage
1
confidence_interval(rpart.tree, epsilon, max_confidence)
Arguments
rpart.tree
rpart.tree. A Decision tree generated by rpart package.
epsilon
float. The epsilon to be used in the delta calculation.
max_confidence
int. The maximum confidence to achieve in 0.01 steps length.
Value
No return value, the function plot the confidence interval values.
shatteringdt documentation built on March 3, 2021, 9:05 a.m.
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Description Usage Arguments Value
View source: R/confidence_interval.R
Description
Calculates # of samples needed to ensure learning with, a certain confidence interval simulated.
Usage
1 | confidence_interval(rpart.tree, epsilon, max_confidence)
|
Arguments
rpart.tree |
rpart.tree. A Decision tree generated by rpart package. |
epsilon |
float. The epsilon to be used in the delta calculation. |
max_confidence |
int. The maximum confidence to achieve in 0.01 steps length. |
Value
No return value, the function plot the confidence interval values.
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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