get_kappa: Get the Tree-Based Kappa
In EdwinTh/thatssorandom: Contains functions posted on my blog
Description
Usage
Arguments
Value
See Also
View source: R/tree-based_kappa.R
Description
Split x and y into k folds. For each fold; train a univariate tree and get
the probalities for the hold-out. Then, obtain the optimal split and calculate
Cohen's kappa on y and y hat.
Usage
1
get_kappa(x, y, k = 10)
Arguments
x
A numerical vector.
y
A binary variable that can be coerced to factor.
k
The number of folds to use in cross-validation.
Value
An object of class ggplot.
See Also
https://edwinth.github.io/blog/tree-based-kappa/
EdwinTh/thatssorandom documentation built on Jan. 18, 2020, 2:55 p.m.
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.
Description Usage Arguments Value See Also
View source: R/tree-based_kappa.R
Description
Split x and y into k folds. For each fold; train a univariate tree and get the probalities for the hold-out. Then, obtain the optimal split and calculate Cohen's kappa on y and y hat.
Usage
1 | get_kappa(x, y, k = 10)
|
Arguments
x |
A numerical vector. |
y |
A binary variable that can be coerced to factor. |
k |
The number of folds to use in cross-validation. |
Value
An object of class ggplot.
See Also
https://edwinth.github.io/blog/tree-based-kappa/
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.
Embedding an R snippet on your website
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.