ISmLogisticRegression.ClassificationSummary

Syntax

ClassificationSummary: Array;

Description

The ClassificationSummary property returns summary results of classification.

Comments

Classification results are a square matrix, the number of rows and columns of which is equal to two. Matrix rows correspond to real values of attribute for analysis, matrix columns correspond to forecasted values from IDataMining.FilledDependent.

Each element of the ClassificationSummary matrix is a number of objects from the source sample belonging to the category corresponding to the row, for those objects is forecasted that they belong to the category corresponding to the column where the element is placed.

Respectively, the less elements are out of the ClassificationSummary main matrix diagonal, the better is classification quality and the better model can forecast object categories.

Example

The property use is given in the example for ISmLogisticRegression.Probabilities.