balanced_accuracy: Balanced Accuracy
In structToolbox: Data processing & analysis tools for Metabolomics and other omics
Description
Usage
Arguments
Value
Examples
View source: R/balanced_accuracy_class.R
Description
Balanced Accuracy is the average proportion of correctly classified samples across all groups.
Usage
1
Arguments
...
Additional slots and values passed to struct_class.
Value
A balanced_accuracy object.
Examples
1
2
3
4
5
D = iris_DatasetExperiment()
XCV = kfold_xval(folds=5,factor_name='Species') *
(mean_centre() + PLSDA(number_components=2,factor_name='Species'))
MET = balanced_accuracy()
XCV = run(XCV,D,MET)
structToolbox documentation built on Nov. 8, 2020, 6:54 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 Examples
View source: R/balanced_accuracy_class.R
Description
Balanced Accuracy is the average proportion of correctly classified samples across all groups.
Usage
1 |
Arguments
... |
Additional slots and values passed to |
Value
A balanced_accuracy object.
Examples
1 2 3 4 5 | D = iris_DatasetExperiment()
XCV = kfold_xval(folds=5,factor_name='Species') *
(mean_centre() + PLSDA(number_components=2,factor_name='Species'))
MET = balanced_accuracy()
XCV = run(XCV,D,MET)
|
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.