Classification with ID3 and SMO using Weka

Velinov, Aleksandar and Martinovska Bande, Cveta (2018) Classification with ID3 and SMO using Weka. In: International Conference on Information Technology and Development of Education – ITRO 2018, June, 2018, Zrenjanin, Republic of Serbia.

[img]
Preview
Text
Pages from Zbornik ITRO 2018 - Copy.pdf

Download (3519Kb) | Preview
Official URL: http://www.tfzr.rs/itro/Zbornik%20ITRO%202018.pdf

Abstract

In this paper, we look at ID3 and SMO (SVM) classification algorithms. We used the wine quality dataset that is publicly available. In our research, we classify red wine instances. Data refer to “Vinho Verde”, a product that is produced in Minho, a district in northwestern Portugal. According to the obtained results, SMO has more correctly classified instances than ID3, but ID3 has fewer incorrectly classified instances.

Item Type: Conference or Workshop Item (Paper)
Subjects: Natural sciences > Computer and information sciences
Divisions: Faculty of Computer Science
Depositing User: Aleksandar Velinov
Date Deposited: 03 Sep 2018 12:58
Last Modified: 03 Sep 2018 12:58
URI: http://eprints.ugd.edu.mk/id/eprint/20354

Actions (login required)

View Item View Item