LinearDiscriminantFunction.Intercept Property

public double Intercept { get; }

Public ReadOnly Property Intercept As Double
	Get

public:
property double Intercept {
	double get ();
}

member Intercept : float with get

Property Value

The intercept is a constant term in the linear discriminant function. It represents the bias of the function, which adjusts the decision boundary to account for the prior probabilities of the classes.

The intercept is calculated during the training phase of the linear discriminant analysis and is used in the classification of new observations. It ensures that the discriminant function properly reflects the underlying distribution of the data.

Reference