Comparative analysis of classification algorithms on three different datasets using WEKA

Rafet Duriqi, Vigan Raça, B. Çiço
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引用次数: 24

Abstract

This paper analyzes the most useful and popular classification algorithms used by the Machine Learning systems, particularly in the artificial intelligent systems. It is focused on the practical applying of classification algorithms, in all three different dataset used throughout this paper. The results of the paper show which algorithm is more convenient for a particular dataset. The common analysis of these datasets including classification algorithms is implemented on the WEKA Tool.
使用WEKA对三种不同数据集的分类算法进行比较分析
本文分析了机器学习系统,特别是人工智能系统中使用的最有用和最流行的分类算法。它侧重于分类算法的实际应用,在本文中使用的所有三种不同的数据集中。本文的研究结果表明,对于特定的数据集,哪种算法更方便。对这些数据集(包括分类算法)的通用分析在WEKA Tool上实现。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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