Class RegressionStatistics

Calculates statistics for a network which is used to predict continuous values (regression).

Inheritance

System.Object

RegressionStatistics

Inherited Members

System.Object.Equals(System.Object)

System.Object.Equals(System.Object, System.Object)

System.Object.GetHashCode()

System.Object.GetType()

System.Object.MemberwiseClone()

System.Object.ReferenceEquals(System.Object, System.Object)

System.Object.ToString()

Namespace: BayesServer.Analysis

Assembly: BayesServer.Analysis.dll

Syntax

[Obfuscation(Exclude = false)]
public sealed class RegressionStatistics

Properties

MeanAbsoluteError

Gets the mean absolute error (MAE), which is a common measure used to determine how close predictions are to the actual values.

Declaration

public double? MeanAbsoluteError { get; }

Property Value

Type	Description
System.Nullable<System.Double>

Remarks

The mean absolute error is the average of the absolute errors.

MeanActual

Gets the mean of the actual column.

Declaration

public double? MeanActual { get; }

Property Value

Type	Description
System.Nullable<System.Double>

MeanSquaredError

Gets the mean squared error (MSE), which is a common measure used to determine how close predictions are to the actual values.

Declaration

public double? MeanSquaredError { get; }

Property Value

Type	Description
System.Nullable<System.Double>

Remarks

The mean squared error is the average of the squared errors.

RMSE

Gets the root mean squared error (RMSE).

Declaration

public double? RMSE { get; }

Property Value

Type	Description
System.Nullable<System.Double>

RSquared

Gets the R squared value (Coefficient of determination).

Declaration

public double? RSquared { get; }

Property Value

Type	Description
System.Nullable<System.Double>

SumAbsoluteError

Gets the sum absolute error (SAE).

Declaration

public double? SumAbsoluteError { get; }

Property Value

Type	Description
System.Nullable<System.Double>

Remarks

The sum of the absolute errors.

SumSquaredError

Gets the sum of squared errors (SSE), which is a common measure used to determine how close predictions are to the actual values.

Declaration

public double? SumSquaredError { get; }

Property Value

Type	Description
System.Nullable<System.Double>

Support

Gets the support/weight for the values used to calculate the statistics. (May not be a whole number, if original weights are not).

Declaration

public double Support { get; }

Property Value

Type	Description
System.Double

VarianceActual

Gets the variance of the actual column.

Declaration

public double? VarianceActual { get; }

Property Value

Type	Description
System.Nullable<System.Double>

Methods

Create(IDataReaderCommand, String, String)

Initializes a new instance of the RegressionStatistics class.

Declaration

public static RegressionStatistics Create(IDataReaderCommand readerCommand, string actual, string predicted)

Parameters

Type	Name	Description
IDataReaderCommand	readerCommand	Returns the data containing the actual values and predicted values.
System.String	actual	The name of the data column containing the actual value.
System.String	predicted	The name of the data column containing the predicted value.

Returns

Type	Description
RegressionStatistics

Create(IDataReaderCommand, String, String, String)

Initializes a new instance of the RegressionStatistics class.

Declaration

public static RegressionStatistics Create(IDataReaderCommand readerCommand, string actual, string predicted, string caseWeight)

Parameters

Type	Name	Description
IDataReaderCommand	readerCommand	Returns the data containing the actual values and predicted values.
System.String	actual	The name of the data column containing the actual value.
System.String	predicted	The name of the data column containing the predicted value.
System.String	caseWeight	The case weight, if any. Can be null.

Returns

Type	Description
RegressionStatistics