resultCV: create a result plot for all performed crossvalidations
In bootfs: Derive Robust Feature Sets for Two or Multiclass Classification Problems
Description
Usage
Arguments
Details
Value
See Also
Description
Use the ouptu of a call to doCV and create a
summary of the performance for multiple methods.
Usage
1
resultCV(retCV)
Arguments
retCV
Return list from function
doCV
Details
This function parses the returned list object from
function doCV and extracts the performance
data for each classification method. It assembles the
data and generates either a ROC curve for each method
(binary classification) or a boxplot representation of
the multiclass AUC values gathered through the CV.
Value
void
See Also
bootfs documentation built on May 2, 2019, 5:50 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 Details Value See Also
Description
Use the ouptu of a call to doCV and create a
summary of the performance for multiple methods.
Usage
1 | resultCV(retCV)
|
Arguments
retCV |
Return list from function
|
Details
This function parses the returned list object from
function doCV and extracts the performance
data for each classification method. It assembles the
data and generates either a ROC curve for each method
(binary classification) or a boxplot representation of
the multiclass AUC values gathered through the CV.
Value
void
See Also
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.