Kocaleva, Mirjana and Zlatanovska, Biljana and Karamazova Gelova, Elena and Stojkovic, Natasa and Stojanova, Aleksandra (2021) Using WEKA for finding output for given function. In: ITRO 2021, 26 Nov 2021, Zrenjanin, Republic of Serbia.
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Abstract
The aim of this paper is to explain what a machine learning is and to describe a decision tree as a kind of implementation of machine learning. Also, in the paper will be shown the practical application of Waikato Environment for Knowledge Analysis (WEKA) through a concrete example. WEKA is one of the most used software for machine learning. The example consists of a function of three input data giving the appropriate output. The function is shown with two types of decision trees: M5P and PERTree. In the conclusion is presented the appropriate and best output for our function.
| Item Type: | Conference or Workshop Item (Speech) |
|---|---|
| Subjects: | Natural sciences > Computer and information sciences |
| Divisions: | Faculty of Computer Science |
| Depositing User: | Mirjana Kocaleva Vitanova |
| Date Deposited: | 30 May 2022 12:20 |
| Last Modified: | 22 Jun 2022 09:22 |
| URI: | https://eprints.ugd.edu.mk/id/eprint/28844 |
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