mdlStop: Auxiliary function for performing discretization using MDLP

In discretization: Data Preprocessing, Discretization for Classification

Auxiliary function for performing discretization using MDLP

Description

This function determines cut criterion based on Fayyad and Irani Criterion, is required to perform the minimum description length principle.

Usage

mdlStop(ci, y, entropy)

Arguments

ci	cut index
y	class variable
entropy	this value is calculated by cutIndex()

Details

Minimum description Length Principle Criterion

Value

gain	numeric value

Author(s)

HyunJi Kim [e-mail]

References

Fayyad, U. M. and Irani, K. B.(1993). Multi-interval discretization of continuous-valued attributes for classification learning, Artificial intelligence, 13, 1022–1027.

See Also

cutPoints, ent, mergeCols, cutIndex, mylog, mdlp .

discretization documentation built on June 9, 2022, 5:09 p.m.