Evaluating Conditional and Unconditional Correlations Capturing Strategies in Multi Label Classification

Authors

  • Raed Alazaidah School of Computing, Universiti Utara Malaysia, 06010 UUM Sintok, Kedah, Malaysia.
  • Farzana Kabir Ahmad School of Computing, Universiti Utara Malaysia, 06010 UUM Sintok, Kedah, Malaysia.
  • Mohamad Farhan Mohamad Mohsen School of Computing, Universiti Utara Malaysia, 06010 UUM Sintok, Kedah, Malaysia.
  • Ahmad Kadri Junoh Institute of Engineering Mathematics, Universiti Malaysia Perlis, 02600 Arau, Perlis, Malaysia.
  • Mo'ath Allwaise Institute of Engineering Mathematics, Universiti Malaysia Perlis, 02600 Arau, Perlis, Malaysia.

Keywords:

Classification, Conditional Correlation, Multi Label Classification, Unconditional Correlations,

Abstract

In the last few years, multi label classification has attracted many scholars and researchers; due to the increasing number of modern domains that are applicable to this general type of classification. Recently, it has been believed by many researchers that the best way to handle the problem of multi label classification is by exploiting the correlations among labels. Two main strategies have been utilized to capture these correlations: conditional correlations and unconditional correlations capturing strategies. In this paper, an extensive evaluation of both strategies has been conducted, to determine the best strategy to handle multi label classification, with respect to the size of the data set and the optimized loss function. Results showed that the unconditional correlations capturing strategy overcomes the conditional correlations capturing strategy in all multi label data sets that have been used in this experiment.

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Published

2018-07-03

How to Cite

Alazaidah, R., Ahmad, F. K., Mohamad Mohsen, M. F., Junoh, A. K., & Allwaise, M. (2018). Evaluating Conditional and Unconditional Correlations Capturing Strategies in Multi Label Classification. Journal of Telecommunication, Electronic and Computer Engineering (JTEC), 10(2-4), 47–51. Retrieved from https://jtec.utem.edu.my/jtec/article/view/4315

Issue

Vol. 10 No. 2-4: Enhancing Digital Trust for Sustainable Development

Section

Articles

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