|
GeneralConfusionMatrix Properties |
The GeneralConfusionMatrix type exposes the following members.
Properties| 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 | Obsolete.
Obsolete. Please use NumberOfClasses instead.
|
| ColumnErrors |
Gets the col errors.
|
| 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.
|
| Error |
Error. This is the same value as 1.0 - OverallAgreement.
|
| 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)
|
| NumberOfClasses |
Gets the number of classes.
|
| NumberOfSamples |
Gets the number of samples.
|
| OverallAgreement |
Overall agreement.
|
| Pearson |
Pearson's contingency coefficient C.
|
| 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.
|
| Phi |
Phi coefficient.
|
| Precision |
Gets the row precision.
|
| ProportionMatrix |
Gets the confusion matrix in
terms of cell percentages.
|
| Recall |
Gets the column recall.
|
| RowErrors |
Gets the row errors.
|
| RowProportions |
Gets the row marginals (proportions).
|
| RowTotals |
Gets the row totals.
|
| Sakoda |
Sakoda's contingency coefficient V.
|
| Samples | Obsolete.
Obsolete. Please use NumberOfSamples instead.
|
| 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.
|
| TitleAboveColumns |
Gets or sets the title that ought be displayed on top of the columns of
this GeneralConfusionMatrix. Default is "Expected (Ground-truth)".
|
| TitleOnTheLeftOfRows |
Gets or sets the title that ought be displayed on left side of this
GeneralConfusionMatrix. Default is "Actual (Prediction)".
|
| Tschuprow |
Tschuprow's T association measure.
|
| Variance |
Gets the variance of the Kappa
coefficient of performance.
|
| VarianceDeltaMethod |
Gets the variance of the Kappa
coefficient of performance using Congalton's delta method.
|
| VarianceUnderNull |
Gets the variance of the Kappa
under the null hypothesis that the underlying
Kappa value is 0.
|
See Also