eve (version 1.0)

eve.bounds: Eigenvalues bounds calculation

Description

This function computes a lower and an upper bound values for the eigenvalues associated with a confusion matrix transformation.

Usage

eve.bounds(mmat)

Value

This function returns a vector which entries are a lower and an upper bound for the eigenvalues associated with a confusion matrix transformation. The range of these bounds is small (<2) for a good classifier.

Arguments

mmat

a square numerical-valued confusion matrix.

Author

Doulaye Dembele

References

Dembele D. (2025), The Eigenvalues Entropy as a Classifier Evaluation Measure. arXiv:2511.01904

Examples

   mmat <- matrix(c(50,0,0,0,35,15,0,7,34), ncol=3)
   eve.bounds(mmat)