DECISION TREES IN CLASSIFICATION TASKS

Authors

  • Lauris Stirna Rezekne Academy of Technologies (LV)
  • Sergejs Kodors Rezekne Academy of Technologies (LV)

DOI:

https://doi.org/10.17770/het2021.25.6788

Keywords:

classification, decision trees, ID3

Abstract

The goal of the study is to develop a classification system for Iris dataset. The analytical development environment called KNIME and freely available Iris dataset were applied in the research. The developed classification is based on the decision tree application. The accuracy of decision tree is compared with artificial neural network.

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References

M. Swain, S. Kumar Dash, S. Dash, A. Mohapatra. IRIS plant dataset. International Journal on Soft Computing (IJSC), 2012. Vol. 3. No. 1. 80-81 pgs.

Владимиров А. Обзор Knime Analytics Platform — open source системы для анализа данных. Sk. Internetā (11.05.2018) https://habr.com/post/320500

Певченко С., Блужин В. Сравнительный анализ алгоритмов нейронной сети и деревьев принятия решений модели интеллектуального анализа данных. Sk. Internetā (24.05.2018) https://moluch.ru/archive/132/36999/

Шахиди А. Области применения деревьев решений. Sk. Internetā (16.04.2018) https://basegroup.ru/community/articles/description

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Published

2021-04-23

Issue

No. 25 (2021): Human. Environment. Technology

Section

Information Technologies

How to Cite

[1]
L. Stirna and S. Kodors, “DECISION TREES IN CLASSIFICATION TASKS”, HET, no. 25, pp. 103–109, Apr. 2021, doi: 10.17770/het2021.25.6788.