| NaiveBayesClassifierGetClassificationErrors Method |
Returns the classification probability errors for each pattern in the
training data.
Namespace: Imsl.DataMiningAssembly: ImslCS (in ImslCS.dll) Version: 6.5.2.0
Syntaxpublic double[] GetClassificationErrors()
Public Function GetClassificationErrors As Double()
public:
array<double>^ GetClassificationErrors()
member GetClassificationErrors : unit -> float[]
Return Value
Type:
Double
A
double array containing the classification
probability errors for each pattern in the training data.
The classification error for the
i-th training pattern is
equal to 1-
predictedClassProbability[i][k],
where
predictedClassProbability is returned from
GetProbabilities and
k is
equal to
classificationData[i].
See Also