The GeneralConfusionMatrix type exposes the following members.
Gets the Chi-Square statistic for the contingency table.
Gets the number of classes.
Gets the column marginals (proportions).
Gets the column totals.
Cramer's V association measure.
Gets the diagonal of the confusion matrix.
Expected values, or values that could have been generated just by chance.
Gets the Kappa coefficient of performance.
Gets the confusion matrix, in which each element e_ij represents the number of elements from class i classified as belonging to class j.
Gets the maximum number of correct matches (the maximum over the diagonal)
Gets the minimum number of correct matches (the minimum over the diagonal)
Pearson's contingency coefficient C.
Gets the confusion matrix in terms of cell percentages.
Gets the row marginals (proportions).
Gets the row totals.
Sakoda's contingency coefficient V.
Gets the number of samples.
Gets the standard error of the Kappa coefficient of performance.
Gets the standard error of the Kappa under the null hypothesis that the underlying Kappa value is 0.
Gets the Tau coefficient of performance.
Tschuprow's T association measure.
Gets the variance of the Kappa coefficient of performance.
Gets the variance of the Kappa under the null hypothesis that the underlying Kappa value is 0.