Algorithm

Full name Microsoft.VisualBasic.DataMining.DecisionTree.Algorithm Assembly Microsoft.VisualBasic.DataMining.Framework Members 2

Algorithm module for train a new decision tree model

01 Syntax

Microsoft.VisualBasic.DataMining.DecisionTree.Algorithm

02 Methods

Name	Overloads	Summary
Learn	1	Create tree of Tree.root
GetGainForAllAttributes	1	information Gain

03 Members

method Learn #

Learn(DataTable, String)

Create tree of Tree.root

Parameters

Name	Type	Description
`data`	DataTable	-
`edgeName`	`String`	-

method GetGainForAllAttributes #

GetGainForAllAttributes(DataTable, Int32, Double)

information Gain

Parameters

Name	Type	Description
`data`	DataTable	-
`colIndex`	`Int32`	-
`entropyOfDataset`	`Double`	the total information entropy for entire dataset