Click or drag to resize
Accord.NET (logo)

WeightedConfusionMatrix Properties

The WeightedConfusionMatrix type exposes the following members.

Properties
  NameDescription
Public propertyAccuracy
Accuracy. This is the same value as OverallAgreement.
(Inherited from GeneralConfusionMatrix.)
Public propertyChanceAgreement
Chance agreement.
(Inherited from GeneralConfusionMatrix.)
Public propertyChiSquare
Gets the Chi-Square statistic for the contingency table.
(Inherited from GeneralConfusionMatrix.)
Public propertyClasses Obsolete.
Obsolete. Please use NumberOfClasses instead.
(Inherited from GeneralConfusionMatrix.)
Public propertyColumnErrors
Gets the col errors.
(Inherited from GeneralConfusionMatrix.)
Public propertyColumnProportions
Gets the column marginals (proportions).
(Inherited from GeneralConfusionMatrix.)
Public propertyColumnTotals
Gets the column totals.
(Inherited from GeneralConfusionMatrix.)
Public propertyCramer
Cramer's V association measure.
(Inherited from GeneralConfusionMatrix.)
Public propertyDiagonal
Gets the diagonal of the confusion matrix.
(Inherited from GeneralConfusionMatrix.)
Public propertyError
Error. This is the same value as 1.0 - OverallAgreement.
(Inherited from GeneralConfusionMatrix.)
Public propertyExpectedValues
Expected values, or values that could have been generated just by chance.
(Inherited from GeneralConfusionMatrix.)
Public propertyGeometricAgreement
Geometric agreement.
(Inherited from GeneralConfusionMatrix.)
Public propertyKappa
Gets the Kappa coefficient of performance.
(Inherited from GeneralConfusionMatrix.)
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.
(Inherited from GeneralConfusionMatrix.)
Public propertyMax
Gets the maximum number of correct matches (the maximum over the diagonal)
(Inherited from GeneralConfusionMatrix.)
Public propertyMin
Gets the minimum number of correct matches (the minimum over the diagonal)
(Inherited from GeneralConfusionMatrix.)
Public propertyNumberOfClasses
Gets the number of classes.
(Inherited from GeneralConfusionMatrix.)
Public propertyNumberOfSamples
Gets the number of samples.
(Inherited from GeneralConfusionMatrix.)
Public propertyOverallAgreement
Overall agreement.
(Inherited from GeneralConfusionMatrix.)
Public propertyPearson
Pearson's contingency coefficient C.
(Inherited from GeneralConfusionMatrix.)
Public propertyPerClassMatrices
Gets binary confusion matrices for each class in the multi-class classification problem. You can use this property to obtain recall, precision and other metrics for each of the classes.
(Inherited from GeneralConfusionMatrix.)
Public propertyPhi
Phi coefficient.
(Inherited from GeneralConfusionMatrix.)
Public propertyPrecision
Gets the row precision.
(Inherited from GeneralConfusionMatrix.)
Public propertyProportionMatrix
Gets the confusion matrix in terms of cell percentages.
(Inherited from GeneralConfusionMatrix.)
Public propertyRecall
Gets the column recall.
(Inherited from GeneralConfusionMatrix.)
Public propertyRowErrors
Gets the row errors.
(Inherited from GeneralConfusionMatrix.)
Public propertyRowProportions
Gets the row marginals (proportions).
(Inherited from GeneralConfusionMatrix.)
Public propertyRowTotals
Gets the row totals.
(Inherited from GeneralConfusionMatrix.)
Public propertySakoda
Sakoda's contingency coefficient V.
(Inherited from GeneralConfusionMatrix.)
Public propertySamples Obsolete.
Obsolete. Please use NumberOfSamples instead.
(Inherited from GeneralConfusionMatrix.)
Public propertyStandardError
Gets the standard error of the Kappa coefficient of performance.
(Inherited from GeneralConfusionMatrix.)
Public propertyStandardErrorUnderNull
Gets the standard error of the Kappa under the null hypothesis that the underlying Kappa value is 0.
(Inherited from GeneralConfusionMatrix.)
Public propertyTau
Gets the Tau coefficient of performance.
(Inherited from GeneralConfusionMatrix.)
Public propertyTitleAboveColumns
Gets or sets the title that ought be displayed on top of the columns of this GeneralConfusionMatrix. Default is "Expected (Ground-truth)".
(Inherited from GeneralConfusionMatrix.)
Public propertyTitleOnTheLeftOfRows
Gets or sets the title that ought be displayed on left side of this GeneralConfusionMatrix. Default is "Actual (Prediction)".
(Inherited from GeneralConfusionMatrix.)
Public propertyTschuprow
Tschuprow's T association measure.
(Inherited from GeneralConfusionMatrix.)
Public propertyVariance
Gets the variance of the Kappa coefficient of performance.
(Inherited from GeneralConfusionMatrix.)
Public propertyVarianceDeltaMethod
Gets the variance of the Kappa coefficient of performance using Congalton's delta method.
(Inherited from GeneralConfusionMatrix.)
Public propertyVarianceUnderNull
Gets the variance of the Kappa under the null hypothesis that the underlying Kappa value is 0.
(Inherited from GeneralConfusionMatrix.)
Public propertyWeightedChanceAgreement
Chance agreement.
Public propertyWeightedColumnProportions
Gets the column marginals (proportions).
Public propertyWeightedKappa
Gets the Kappa coefficient of performance.
Public propertyWeightedOverallAgreement
Overall agreement.
Public propertyWeightedRowProportions
Gets the row marginals (proportions).
Public propertyWeightedStandardError
Gets the standard error of the WeightedKappa coefficient of performance.
Public propertyWeightedStandardErrorUnderNull
Gets the standard error of the WeightedKappa under the null hypothesis that the underlying Kappa value is 0.
Public propertyWeightedVariance
Gets the variance of the WeightedKappa coefficient of performance.
Public propertyWeightedVarianceUnderNull
Gets the variance of the WeightedKappa under the null hypothesis that the underlying Kappa value is 0.
Public propertyWeights
Gets the Weights matrix.
Top
See Also