Balanced Accuracy — balanced_accuracy • structToolbox

Balanced Accuracy is the average proportion of correctly classified samples across all groups.

Usage

balanced_accuracy(...)

Arguments

...: Additional slots and values passed to struct_class.

Value

A balanced_accuracy object. This object has no output slots.

Inheritance

A balanced_accuracy object inherits the following struct classes:

[balanced_accuracy] >> [metric] >> [struct_class]

Examples

M = balanced_accuracy()

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)