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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
)
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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.
See Also