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