BinaryClassification.PredictedClass Method

BinaryClassificationPredictedClass Method

Calculates the classification probablities for the input pattern x, and returns either 0 or 1 identifying the class with the highest probability.

Namespace: Imsl.DataMining.Neural
Assembly: ImslCS (in ImslCS.dll) Version: 6.5.2.0

Syntax

C++

Copy

public virtual int PredictedClass(
	double[] x
)

Public Overridable Function PredictedClass ( 
	x As Double()
) As Integer

public:
virtual int PredictedClass(
	array<double>^ x
)

abstract PredictedClass : 
        x : float[] -> int 
override PredictedClass : 
        x : float[] -> int

Parameters

x: Type: SystemDouble
The double array containing the network input patterns to classify. The length of x should be equal to the number of inputs in the network.

Return Value

Type: Int32
The classification predicted by the trained network for x. This will be either 0 or 1.

Remarks

This method is used to classify patterns into one of the two target classes based upon the pattern's values. The predicted classification is the class with the largest probability, i.e. greater than 0.5.

Reference

BinaryClassification Class

Imsl.DataMining.Neural Namespace