Towards an MCDM-Based Evaluation Framework for Regression Algorithms

Di Yao; Kevin Kam Fung Yuen

doi:10.1109/SMARTCOMP.2017.7947052

Towards an MCDM-Based Evaluation Framework for Regression Algorithms

Di Yao, Kevin Kam Fung Yuen^*

^*Corresponding author for this work

School of Advanced Technology

Xi'an Jiaotong-Liverpool University

Research output: Chapter in Book or Report/Conference proceeding › Conference Proceeding › peer-review

2 Citations (Scopus)

Abstract

Prediction is a challenging topic and regression is one of the methods developed for this problem. Various regression algorithms produce different prediction results for different datasets. Various performance criteria are used to measure the regression algorithms performance. The Multiple Criteria Decision Making (MCDM) method can be used to synthesize measurements of the performance criteria for the algorithms to select the most appropriate algorithm for a dataset. This paper introduces a MCDM-based evaluation framework for regression algorithms selection for a dataset. Experiments are demonstrated for usability of the proposed framework.

Original language	English
Title of host publication	2017 IEEE International Conference on Smart Computing, SMARTCOMP 2017
Publisher	Institute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)	9781509065172
DOIs	https://doi.org/10.1109/SMARTCOMP.2017.7947052
Publication status	Published - 12 Jun 2017
Event	2017 IEEE International Conference on Smart Computing, SMARTCOMP 2017 - Hong Kong, China Duration: 29 May 2017 → 31 May 2017

Publication series

Name	2017 IEEE International Conference on Smart Computing, SMARTCOMP 2017

Conference

Conference	2017 IEEE International Conference on Smart Computing, SMARTCOMP 2017
Country/Territory	China
City	Hong Kong
Period	29/05/17 → 31/05/17

Keywords

Algorithm Evaluation Framework
Multiple Criteria Decision Making (MCDM)
Regression Algorithms

Access to Document

10.1109/SMARTCOMP.2017.7947052

Cite this

@inproceedings{efb7eda7ecce4ab5a42b3d0c8a45b985,

title = "Towards an MCDM-Based Evaluation Framework for Regression Algorithms",

abstract = "Prediction is a challenging topic and regression is one of the methods developed for this problem. Various regression algorithms produce different prediction results for different datasets. Various performance criteria are used to measure the regression algorithms performance. The Multiple Criteria Decision Making (MCDM) method can be used to synthesize measurements of the performance criteria for the algorithms to select the most appropriate algorithm for a dataset. This paper introduces a MCDM-based evaluation framework for regression algorithms selection for a dataset. Experiments are demonstrated for usability of the proposed framework.",

keywords = "Algorithm Evaluation Framework, Multiple Criteria Decision Making (MCDM), Regression Algorithms",

author = "Di Yao and Yuen, {Kevin Kam Fung}",

note = "Publisher Copyright: {\textcopyright} 2017 IEEE.; 2017 IEEE International Conference on Smart Computing, SMARTCOMP 2017 ; Conference date: 29-05-2017 Through 31-05-2017",

year = "2017",

month = jun,

day = "12",

doi = "10.1109/SMARTCOMP.2017.7947052",

language = "English",

series = "2017 IEEE International Conference on Smart Computing, SMARTCOMP 2017",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

booktitle = "2017 IEEE International Conference on Smart Computing, SMARTCOMP 2017",

}

Yao, D & Yuen, KKF 2017, Towards an MCDM-Based Evaluation Framework for Regression Algorithms. in 2017 IEEE International Conference on Smart Computing, SMARTCOMP 2017., 7947052, 2017 IEEE International Conference on Smart Computing, SMARTCOMP 2017, Institute of Electrical and Electronics Engineers Inc., 2017 IEEE International Conference on Smart Computing, SMARTCOMP 2017, Hong Kong, China, 29/05/17. https://doi.org/10.1109/SMARTCOMP.2017.7947052

Towards an MCDM-Based Evaluation Framework for Regression Algorithms. / Yao, Di; Yuen, Kevin Kam Fung.
2017 IEEE International Conference on Smart Computing, SMARTCOMP 2017. Institute of Electrical and Electronics Engineers Inc., 2017. 7947052 (2017 IEEE International Conference on Smart Computing, SMARTCOMP 2017).

Research output: Chapter in Book or Report/Conference proceeding › Conference Proceeding › peer-review

TY - GEN

T1 - Towards an MCDM-Based Evaluation Framework for Regression Algorithms

AU - Yao, Di

AU - Yuen, Kevin Kam Fung

PY - 2017/6/12

Y1 - 2017/6/12

N2 - Prediction is a challenging topic and regression is one of the methods developed for this problem. Various regression algorithms produce different prediction results for different datasets. Various performance criteria are used to measure the regression algorithms performance. The Multiple Criteria Decision Making (MCDM) method can be used to synthesize measurements of the performance criteria for the algorithms to select the most appropriate algorithm for a dataset. This paper introduces a MCDM-based evaluation framework for regression algorithms selection for a dataset. Experiments are demonstrated for usability of the proposed framework.

AB - Prediction is a challenging topic and regression is one of the methods developed for this problem. Various regression algorithms produce different prediction results for different datasets. Various performance criteria are used to measure the regression algorithms performance. The Multiple Criteria Decision Making (MCDM) method can be used to synthesize measurements of the performance criteria for the algorithms to select the most appropriate algorithm for a dataset. This paper introduces a MCDM-based evaluation framework for regression algorithms selection for a dataset. Experiments are demonstrated for usability of the proposed framework.

KW - Algorithm Evaluation Framework

KW - Multiple Criteria Decision Making (MCDM)

KW - Regression Algorithms

UR - http://www.scopus.com/inward/record.url?scp=85023178919&partnerID=8YFLogxK

U2 - 10.1109/SMARTCOMP.2017.7947052

DO - 10.1109/SMARTCOMP.2017.7947052

M3 - Conference Proceeding

AN - SCOPUS:85023178919

T3 - 2017 IEEE International Conference on Smart Computing, SMARTCOMP 2017

BT - 2017 IEEE International Conference on Smart Computing, SMARTCOMP 2017

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 2017 IEEE International Conference on Smart Computing, SMARTCOMP 2017

Y2 - 29 May 2017 through 31 May 2017

ER -

Towards an MCDM-Based Evaluation Framework for Regression Algorithms

Abstract

Publication series

Conference

Keywords

Access to Document

Other files and links

Fingerprint

Cite this