The Eigenvalues Entropy as a Classifier Evaluation Measure
The Eigenvalues Entropy as a Classifier Evaluation Measure
Accuracy calculation
Some binary measures calculation
Eigenvalues bounds calculation
Confusion entropy calculation
Eigenvalues used in the EVE measure
Cohen's Kappa calculation
Matthews' correlation coefficient calculation
Modified confusion entropy calculation
Modified confusion matrix calculation
Normalized mutual information calculation
Eigenvalue entropy calculation
Comparison of the class k versus the rest
Conversion of a multicass confusion matrixto a single binary confusion...
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.