SciELO - Scientific Electronic Library Online

 
vol.27Indigenous Knowledge and Vocational Education: Marginalisation of Traditional Medicinal Treatments in Rwandan TVET Animal Health CoursesA Taxonomy to Understand Scaling of Innovation by African Enterprises índice de autoresíndice de assuntospesquisa de artigos
Home Pagelista alfabética de periódicos  

Serviços Personalizados

Artigo

Indicadores

Links relacionados

  • Em processo de indexaçãoCitado por Google
  • Em processo de indexaçãoSimilares em Google

Compartilhar


The African Journal of Information and Communication

versão On-line ISSN 2077-7213
versão impressa ISSN 2077-7205

Resumo

ZHOU, Helper  e  GUMBO, Victor. Supervised Machine Learning for Predicting SMME Sales: An Evaluation of Three Algorithms. AJIC [online]. 2021, vol.27, pp.1-21. ISSN 2077-7213.  http://dx.doi.org/10.23962/10539/31371.

The emergence of machine learning algorithms presents the opportunity for a variety of stakeholders to perform advanced predictive analytics and to make informed decisions. However, to date there have been few studies in developing countries that evaluate the performance of such algorithms-with the result that pertinent stakeholders lack an informed basis for selecting appropriate techniques for modelling tasks. This study aims to address this gap by evaluating the performance of three machine learning techniques: ordinary least squares (OLS), least absolute shrinkage and selection operator (LASSO), and artificial neural networks (ANNs). These techniques are evaluated in respect of their ability to perform predictive modelling of the sales performance of small, medium and micro enterprises (SMMEs) engaged in manufacturing. The evaluation finds that the ANNs algorithm's performance is far superior to that of the other two techniques, OLS and LASSO, in predicting the SMMEs' sales performance.

Palavras-chave : supervised machine learning; algorithms; sales predictive modelling; ordinary least squares (OLS); least absolute shrinkage and selection operator (LASSO); artificial neural networks (ANNs); small; medium and micro enterprises (SMMEs).

        · texto em Inglês     · Inglês ( pdf )

 

Creative Commons License Todo o conteúdo deste periódico, exceto onde está identificado, está licenciado sob uma Licença Creative Commons