Accord.NET Framework

## ReceiverOperatingCharacteristicPoint Class |

Object to hold information about a Receiver Operating Characteristic Curve Point

Inheritance Hierarchy

SystemObject

Accord.Statistics.AnalysisConfusionMatrix

Accord.Statistics.AnalysisReceiverOperatingCharacteristicPoint

Accord.Statistics.AnalysisConfusionMatrix

Accord.Statistics.AnalysisReceiverOperatingCharacteristicPoint

Syntax

The ReceiverOperatingCharacteristicPoint type exposes the following members.

Properties

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.) |

Methods

Name | Description | |
---|---|---|

Equals | Determines whether the specified object is equal to the current object. (Inherited from Object.) | |

Finalize | Allows an object to try to free resources and perform other cleanup operations before it is reclaimed by garbage collection. (Inherited from Object.) | |

GetHashCode | Serves as the default hash function. (Inherited from Object.) | |

GetType | Gets the Type of the current instance. (Inherited from Object.) | |

MemberwiseClone | Creates a shallow copy of the current Object. (Inherited from Object.) | |

ToGeneralMatrix |
Converts this matrix into a GeneralConfusionMatrix.
(Inherited from ConfusionMatrix.) | |

ToString |
Returns a System.String that represents the current ReceiverOperatingCharacteristicPoint.
(Overrides ConfusionMatrixToString.) |

Extension Methods

Name | Description | |
---|---|---|

HasMethod |
Checks whether an object implements a method with the given name.
(Defined by ExtensionMethods.) | |

IsEqual |
Compares two objects for equality, performing an elementwise
comparison if the elements are vectors or matrices.
(Defined by Matrix.) | |

To(Type) | Overloaded.
Converts an object into another type, irrespective of whether
the conversion can be done at compile time or not. This can be
used to convert generic types to numeric types during runtime.
(Defined by ExtensionMethods.) | |

ToT | Overloaded.
Converts an object into another type, irrespective of whether
the conversion can be done at compile time or not. This can be
used to convert generic types to numeric types during runtime.
(Defined by ExtensionMethods.) |

See Also