	Name	Description
	GeneralConfusionMatrix(Int32)	Creates a new Confusion Matrix.
	GeneralConfusionMatrix(Double, Int32)	Creates a new Confusion Matrix.
	GeneralConfusionMatrix(Int32, Int32, Int32)	Creates a new Confusion Matrix.

	Name	Description
	Accuracy	Accuracy. This is the same value as OverallAgreement.
	ChanceAgreement	Chance agreement.
	ChiSquare	Gets the Chi-Square statistic for the contingency table.
	Classes	Gets the number of classes.
	ColumnProportions	Gets the column marginals (proportions).
	ColumnTotals	Gets the column totals.
	Cramer	Cramer's V association measure.
	Diagonal	Gets the diagonal of the confusion matrix.
	ExpectedValues	Expected values, or values that could have been generated just by chance.
	GeometricAgreement	Geometric agreement.
	Kappa	Gets the Kappa coefficient of performance.
	Matrix	Gets the confusion matrix, in which each element e_ij represents the number of elements from class i classified as belonging to class j.
	Max	Gets the maximum number of correct matches (the maximum over the diagonal)
	Min	Gets the minimum number of correct matches (the minimum over the diagonal)
	OverallAgreement	Overall agreement.
	Pearson	Pearson's contingency coefficient C.
	Phi	Phi coefficient.
	ProportionMatrix	Gets the confusion matrix in terms of cell percentages.
	RowProportions	Gets the row marginals (proportions).
	RowTotals	Gets the row totals.
	Sakoda	Sakoda's contingency coefficient V.
	Samples	Gets the number of samples.
	StandardError	Gets the standard error of the Kappa coefficient of performance.
	StandardErrorUnderNull	Gets the standard error of the Kappa under the null hypothesis that the underlying Kappa value is 0.
	Tau	Gets the Tau coefficient of performance.
	Tschuprow	Tschuprow's T association measure.
	Variance	Gets the variance of the Kappa coefficient of performance.
	VarianceUnderNull	Gets the variance of the Kappa under the null hypothesis that the underlying Kappa value is 0.

	Name	Description
	Combine	Combines several confusion matrices into one single matrix.
	Equals	Determines whether the specified object is equal to the current object. (Inherited from Object.)
	Finalize	Allows an object to try to free resources and perform other cleanup operations before it is reclaimed by garbage collection. (Inherited from Object.)
	GetHashCode	Serves as the default hash function. (Inherited from Object.)
	GetType	Gets the Type of the current instance. (Inherited from Object.)
	MemberwiseClone	Creates a shallow copy of the current Object. (Inherited from Object.)
	ToString	Returns a string that represents the current object. (Inherited from Object.)

	Name	Description
	HasMethod	Checks whether an object implements a method with the given name. (Defined by ExtensionMethods.)
	IsEqual	Compares two objects for equality, performing an elementwise comparison if the elements are vectors or matrices. (Defined by Matrix.)
	ToT	Converts an object into another type, irrespective of whether the conversion can be done at compile time or not. This can be used to convert generic types to numeric types during runtime. (Defined by ExtensionMethods.)

GeneralConfusionMatrix Class

Reference