rank.sumcat: rank.sumcat
In samhaycock/sumcat: Categorical Summary
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.sumcat".
Usage
1
rank.sumcat(object)
Arguments
object
An object passed from the "model_cat" function.
samhaycock/sumcat documentation built on Dec. 22, 2021, 10:11 p.m.
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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.sumcat".
Usage
1 | rank.sumcat(object)
|
Arguments
object |
An object passed from the "model_cat" function. |
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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