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ConfusionMatrix Properties |
The ConfusionMatrix type exposes the following members.
Properties| Name | Description | |
|---|---|---|
 | Accuracy |
Accuracy, or raw performance of the system
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| ActualNegatives |
Gets the number of actual negatives
|
| ActualPositives |
Gets the number of actual positives.
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| ChanceAgreement |
Chance agreement.
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| ChiSquare |
Gets the Chi-Square statistic for the contingency table.
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| ColumnTotals |
Gets the marginal sums for table columns.
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| Diagonal |
Gets the diagonal of the confusion matrix.
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| Efficiency |
Efficiency, the arithmetic mean of sensitivity and specificity
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| Error |
Error rate, or 1 - accuracy.
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| Errors |
Gets the number of errors between the expected and predicted values.
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| ExpectedValues |
Expected values, or values that could
have been generated just by chance.
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| FalseDiscoveryRate |
False Discovery Rate, or the expected false positive rate.
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| FalseNegatives |
Cases incorrectly identified by the system as negatives.
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| FalsePositiveRate |
False Positive Rate, also known as false alarm rate.
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| FalsePositives |
Cases incorrectly identified by the system as positives.
|
| FScore | |
| GeometricAgreement |
Geometric agreement.
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| Hits |
Gets the number of hits between the expected and predicted values.
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| Kappa |
Kappa coefficient.
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| Matrix |
Gets the confusion matrix in count matrix form.
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| MatthewsCorrelationCoefficient |
Matthews Correlation Coefficient, also known as Phi coefficient
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| NegativePredictiveValue |
Negative Predictive Value, also known as Negative Precision
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| NormalizedMutualInformation |
Normalized Mutual Information.
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| NumberOfClasses |
Gets the number of classes in this decision problem.
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| NumberOfSamples |
Gets the number of observations for this matrix.
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| OddsRatio |
Odds-ratio.
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| OverallAgreement |
Overall agreement.
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| OverallDiagnosticPower |
Diagnostic power.
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| Pearson |
Pearson's contingency coefficient C.
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| PositivePredictiveValue |
Positive Predictive Value, also known as Positive Precision
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| Precision |
Precision, same as the PositivePredictiveValue.
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| PredictedNegatives |
Gets the number of predicted negatives.
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| PredictedPositives |
Gets the number of predicted positives.
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| Prevalence |
Prevalence of outcome occurrence.
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| Recall |
Recall, same as the Sensitivity.
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| RowTotals |
Gets the marginal sums for table rows.
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| Samples | Obsolete.
Gets the number of observations for this matrix
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| Sensitivity |
Sensitivity, also known as True Positive Rate
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| Specificity |
Specificity, also known as True Negative Rate
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| StandardError |
Gets the standard error of the Kappa
coefficient of performance.
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| StandardErrorUnderNull |
Gets the standard error of the Kappa
under the null hypothesis that the underlying Kappa
value is 0.
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| TrueNegatives |
Cases correctly identified by the system as negatives.
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| TruePositives |
Cases correctly identified by the system as positives.
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| Variance |
Gets the variance of the Kappa
coefficient of performance.
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| VarianceUnderNull |
Gets the variance of the Kappa
under the null hypothesis that the underlying
Kappa value is 0.
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See Also