ExtractRules: Extract decision rules from an ImbTreeEntropy Object

In KrzyGajow/ImbTreeEntropy: Software to build Decision Trees for imbalanced data

Usage

ExtractRules( tree )

Arguments

tree	Fitted model object. This is assumed to be the result of some function that produces an object with the same named components as that returned by the ImbTreeEntropy or ImbTreeEntropyInter functions.

Value

Data frame with the extracted decision rules along with the following performance measures: Support, Confidence, Lift, Conviction, AddedValue, Cosine, Jaccard, Laplace, Leverage.

See Also

ImbTreeEntropy, ImbTreeEntropyInter, PredictTree, PrintTree, PrintTreeInter, ExtractRules

Examples

library("ImbTreeEntropy")
data(iris)
Tree <- ImbTreeEntropy(Y_name = "Species", 
                       X_names = colnames(iris)[-ncol(iris)], 
                       data = iris) 
Tree <- ExtractRules(Tree)

KrzyGajow/ImbTreeEntropy documentation built on Dec. 31, 2020, 2:13 p.m.