NaiveBayesClassifier.GetTrainingErrors Method

NaiveBayesClassifierGetTrainingErrors Method

Returns a table of classification errors of non-missing classifications for each target classification plus the overall total of classification errors.

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

Syntax

C++

Copy

public int[][] GetTrainingErrors()

Public Function GetTrainingErrors As Integer()()

public:
array<array<int>^>^ GetTrainingErrors()

member GetTrainingErrors : unit -> int[][]

Return Value

Type: Int32
An int matrix containing nClasses + 1 rows and two columns. The first column contains the number of misclassifications and the second column contains the total number of classifications for the i-th row target class. The last row of the matrix contains the total number of misclassifications in column one and the total non-missing classifications in column two.

Reference

NaiveBayesClassifier Class

Imsl.DataMining Namespace