WeightedConfusionMatrix Properties |
The WeightedConfusionMatrix type exposes the following members.
Name | Description | |
---|---|---|
Accuracy |
Accuracy. This is the same value as OverallAgreement.
(Inherited from GeneralConfusionMatrix.) | |
ChanceAgreement |
Chance agreement.
(Inherited from GeneralConfusionMatrix.) | |
ChiSquare |
Gets the Chi-Square statistic for the contingency table.
(Inherited from GeneralConfusionMatrix.) | |
Classes | Obsolete.
Obsolete. Please use NumberOfClasses instead.
(Inherited from GeneralConfusionMatrix.) | |
ColumnErrors |
Gets the col errors.
(Inherited from GeneralConfusionMatrix.) | |
ColumnProportions |
Gets the column marginals (proportions).
(Inherited from GeneralConfusionMatrix.) | |
ColumnTotals |
Gets the column totals.
(Inherited from GeneralConfusionMatrix.) | |
Cramer |
Cramer's V association measure.
(Inherited from GeneralConfusionMatrix.) | |
Diagonal |
Gets the diagonal of the confusion matrix.
(Inherited from GeneralConfusionMatrix.) | |
Error |
Error. This is the same value as 1.0 - OverallAgreement.
(Inherited from GeneralConfusionMatrix.) | |
ExpectedValues |
Expected values, or values that could
have been generated just by chance.
(Inherited from GeneralConfusionMatrix.) | |
GeometricAgreement |
Geometric agreement.
(Inherited from GeneralConfusionMatrix.) | |
Kappa |
Gets the Kappa coefficient of performance.
(Inherited from GeneralConfusionMatrix.) | |
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.
(Inherited from GeneralConfusionMatrix.) | |
Max |
Gets the maximum number of correct
matches (the maximum over the diagonal)
(Inherited from GeneralConfusionMatrix.) | |
Min |
Gets the minimum number of correct
matches (the minimum over the diagonal)
(Inherited from GeneralConfusionMatrix.) | |
NumberOfClasses |
Gets the number of classes.
(Inherited from GeneralConfusionMatrix.) | |
NumberOfSamples |
Gets the number of samples.
(Inherited from GeneralConfusionMatrix.) | |
OverallAgreement |
Overall agreement.
(Inherited from GeneralConfusionMatrix.) | |
Pearson |
Pearson's contingency coefficient C.
(Inherited from GeneralConfusionMatrix.) | |
PerClassMatrices |
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.) | |
Phi |
Phi coefficient.
(Inherited from GeneralConfusionMatrix.) | |
Precision |
Gets the row precision.
(Inherited from GeneralConfusionMatrix.) | |
ProportionMatrix |
Gets the confusion matrix in
terms of cell percentages.
(Inherited from GeneralConfusionMatrix.) | |
Recall |
Gets the column recall.
(Inherited from GeneralConfusionMatrix.) | |
RowErrors |
Gets the row errors.
(Inherited from GeneralConfusionMatrix.) | |
RowProportions |
Gets the row marginals (proportions).
(Inherited from GeneralConfusionMatrix.) | |
RowTotals |
Gets the row totals.
(Inherited from GeneralConfusionMatrix.) | |
Sakoda |
Sakoda's contingency coefficient V.
(Inherited from GeneralConfusionMatrix.) | |
Samples | Obsolete.
Obsolete. Please use NumberOfSamples instead.
(Inherited from GeneralConfusionMatrix.) | |
StandardError |
Gets the standard error of the Kappa
coefficient of performance.
(Inherited from GeneralConfusionMatrix.) | |
StandardErrorUnderNull |
Gets the standard error of the Kappa
under the null hypothesis that the underlying Kappa
value is 0.
(Inherited from GeneralConfusionMatrix.) | |
Tau |
Gets the Tau coefficient of performance.
(Inherited from GeneralConfusionMatrix.) | |
TitleAboveColumns |
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.) | |
TitleOnTheLeftOfRows |
Gets or sets the title that ought be displayed on left side of this
GeneralConfusionMatrix. Default is "Actual (Prediction)".
(Inherited from GeneralConfusionMatrix.) | |
Tschuprow |
Tschuprow's T association measure.
(Inherited from GeneralConfusionMatrix.) | |
Variance |
Gets the variance of the Kappa
coefficient of performance.
(Inherited from GeneralConfusionMatrix.) | |
VarianceDeltaMethod |
Gets the variance of the Kappa
coefficient of performance using Congalton's delta method.
(Inherited from GeneralConfusionMatrix.) | |
VarianceUnderNull |
Gets the variance of the Kappa
under the null hypothesis that the underlying
Kappa value is 0.
(Inherited from GeneralConfusionMatrix.) | |
WeightedChanceAgreement |
Chance agreement.
| |
WeightedColumnProportions |
Gets the column marginals (proportions).
| |
WeightedKappa |
Gets the Kappa coefficient of performance.
| |
WeightedOverallAgreement |
Overall agreement.
| |
WeightedRowProportions |
Gets the row marginals (proportions).
| |
WeightedStandardError |
Gets the standard error of the WeightedKappa
coefficient of performance.
| |
WeightedStandardErrorUnderNull |
Gets the standard error of the WeightedKappa
under the null hypothesis that the underlying Kappa
value is 0.
| |
WeightedVariance |
Gets the variance of the WeightedKappa
coefficient of performance.
| |
WeightedVarianceUnderNull |
Gets the variance of the WeightedKappa
under the null hypothesis that the underlying
Kappa value is 0.
| |
Weights |
Gets the Weights matrix.
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