Resumen

ETI, Serkan  y  İNEL, Mehmet Nuri. A research on the comparison of classification algorithm in finance. Contad. Adm [online]. 2020, vol.65, n.4, 00013.  Epub 13-Sep-2021. ISSN 0186-1042.  https://doi.org/10.22201/fca.24488410e.2020.2497.

Nowadays, data is developing with technology. With developments in the Internet and technology, it makes a warehouse that changes the data more rapidly and in volume. This situation increases the importance of data mining every day. The aim of this study is to examine classification algorithms which are the sub-subject of data mining. In the analysis part of the study, it is aimed to compare the algorithms with the accuracy ratio by using the financial data. As a result of the study conducted on stock marketing, the classification of enterprises of decision tree models with artificial neural networks has also been found to be more successful than other methods.

Palabras llave : C88; G17; Data mining; Machine learning; Profitability; Financial ratio; Compare of methods.