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GeneralConfusionMatrix Properties

The GeneralConfusionMatrix type exposes the following members.

Properties
  NameDescription
Public propertyChanceAgreement
Chance agreement.
Public propertyChiSquare
Gets the Chi-Square statistic for the contingency table.
Public propertyClasses
Gets the number of classes.
Public propertyColumnProportions
Gets the column marginals (proportions).
Public propertyColumnTotals
Gets the column totals.
Public propertyCramer
Cramer's V association measure.
Public propertyDiagonal
Gets the diagonal of the confusion matrix.
Public propertyExpectedValues
Expected values, or values that could have been generated just by chance.
Public propertyGeometricAgreement
Geometric agreement.
Public propertyKappa
Gets the Kappa coefficient of performance.
Public propertyMatrix
Gets the confusion matrix, in which each element e_ij represents the number of elements from class i classified as belonging to class j.
Public propertyMax
Gets the maximum number of correct matches (the maximum over the diagonal)
Public propertyMin
Gets the minimum number of correct matches (the minimum over the diagonal)
Public propertyOverallAgreement
Overall agreement.
Public propertyPearson
Pearson's contingency coefficient C.
Public propertyPhi
Phi coefficient.
Public propertyProportionMatrix
Gets the confusion matrix in terms of cell percentages.
Public propertyRowProportions
Gets the row marginals (proportions).
Public propertyRowTotals
Gets the row totals.
Public propertySakoda
Sakoda's contingency coefficient V.
Public propertySamples
Gets the number of samples.
Public propertyStandardError
Gets the standard error of the Kappa coefficient of performance.
Public propertyStandardErrorUnderNull
Gets the standard error of the Kappa under the null hypothesis that the underlying Kappa value is 0.
Public propertyTau
Gets the Tau coefficient of performance.
Public propertyTschuprow
Tschuprow's T association measure.
Public propertyVariance
Gets the variance of the Kappa coefficient of performance.
Public propertyVarianceUnderNull
Gets the variance of the Kappa under the null hypothesis that the underlying Kappa value is 0.
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