R: The Eigenvalues Entropy as a Classifier Evaluation Measure

# The Eigenvalues Entropy as a Classifier Evaluation Measure

## Documentation for package ‘eve’ version 1.1

- DESCRIPTION file.

## Help Pages

eve-package | The Eigenvalues Entropy as a Classifier Evaluation Measure
eve | Eigenvalue entropy calculation
eve.acc | Accuracy calculation
eve.amat | Return the bounds matrix A
eve.bival | Some binary measures calculation
eve.bmat | Return the bounds matrix B
eve.bounds | Eigenvalues bounds calculation
eve.cen | Confusion entropy calculation
eve.eigens | Eigenvalues used in the EVE measure
eve.kappa | Cohen's Kappa calculation
eve.mcc | Matthews' correlation coefficient calculation
eve.mcen | Modified confusion entropy calculation
eve.mmatt | Modified confusion matrix calculation
eve.nmi | Normalized mutual information calculation
m2two.a | Conversion of a multicass confusion matrixto a single binary confusion matrix
m2two.k | Comparison of the class k versus the rest