This function computes the eigenvalues entropy
 for a binary or a multiclass confusion matrix.

The confusion matrix (CM) is used to get a classifier's
evaluation measure in order to select a method among many.
A stochastic matrix and its transformation are computed from
the CM. The eigenvalues of the transformed symmetric matrix
are used to get an entropy which appears to be a good
evaluation measure. Many other measures, commonly used, are
provided for comparison purpose.

Doulaye Dembele

The Eigenvalues Entropy as a Classifier Evaluation Measure

eve function

<dl> <dt>mmat</dt>
<dd>a square numerical-valued confusion matrix.</dd></dl>

Arguments

Author

Eigenvalue entropy calculation — eve

<dl>

 <dt>mmat</dt>
<dd>a square numerical-valued confusion matrix.</dd>

</dl>

eve: Eigenvalue entropy calculation

Description

Usage

Value

Arguments

Author

References

Examples