Balanced error — balanced_error • structToolbox

Balanced Accuracy is the average proportion of correctly identified samples within each class. Balanced error is 1 - Balanced Accuracy.

Usage

balanced_error(...)

Arguments

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

Value

A balanced_error object. This object has no output slots.

Inheritance

A balanced_error object inherits the following struct classes:

[balanced_error] >> [metric] >> [struct_class]

Examples

M = balanced_error()

D = iris_DatasetExperiment()
XCV = kfold_xval(folds=5,factor_name='Species') *
      (mean_centre() + PLSDA(number_components=2,factor_name='Species'))
MET = balanced_error()
XCV = run(XCV,D,MET)