rank_methods: rank_methods
In samhaycock/sumcat: Categorical Summary
Description
Usage
Arguments
Examples
View source: R/rank_function.R
Description
Ranks several methods of classification based on their level of predictive
accuracy. Returns a matrix of methods and ranked accuracies from largest to
smallest. MUST run "model_cat" function prior to "rank_methods".
Usage
1
rank_methods(object)
Arguments
object
An object passed from the "model_cat" function.
Examples
1
2
object <- model_cat(Potability ~ ., water_potability, water_test)
rank_methods(object)
samhaycock/sumcat documentation built on Dec. 22, 2021, 10:11 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 Examples
View source: R/rank_function.R
Description
Ranks several methods of classification based on their level of predictive accuracy. Returns a matrix of methods and ranked accuracies from largest to smallest. MUST run "model_cat" function prior to "rank_methods".
Usage
1 | rank_methods(object)
|
Arguments
object |
An object passed from the "model_cat" function. |
Examples
1 2 | object <- model_cat(Potability ~ ., water_potability, water_test)
rank_methods(object)
|
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.