ConfusionMatrixEstimateTInput Method (IClassifierTInput, Int32, TInput, Int32)

Estimates a ConfusionMatrix directly from a classifier, a set of inputs and its expected outputs.

Namespace: Accord.Statistics.Analysis
Assembly: Accord.Statistics (in Accord.Statistics.dll) Version: 3.8.0

Syntax

public static ConfusionMatrix Estimate<TInput>(
	IClassifier<TInput, int> classifier,
	TInput[] inputs,
	int[] expected
)

Public Shared Function Estimate(Of TInput) ( 
	classifier As IClassifier(Of TInput, Integer),
	inputs As TInput(),
	expected As Integer()
) As ConfusionMatrix

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Parameters

classifier: Type: Accord.MachineLearningIClassifierTInput, Int32
The classifier.
inputs: Type: TInput
The input vectors.
expected: Type: SystemInt32
The expected outputs associated with each input vector.

Type Parameters

TInput: The type of the inputs accepted by the classifier.

Return Value

Type: ConfusionMatrix
A ConfusionMatrix capturing the performance of the classifier when trying to predict the outputs expected from the inputs.

Reference

ConfusionMatrix Class

Estimate Overload

Accord.Statistics.Analysis Namespace