Evaluation of Impact of Data Processing on Quality of Machine Learning Model

Solovei Olga, Solovei Bohdan

Abstract: In the article is considered a question of how initial data processing impacts the quality of machine learning model. As a result of the research had been received models’ quality score when data is processed by different methods: standardization and scaling. The summary specifies what data process method to be used depending on the chosen machine learning model. All calculations were performed by the functions from Phyton libraries

Keywords: data processing method, confusion matrix, F1-scope, mean absolute error, machine learning model

How to Cite?: Solovei Olga, Solovei Bohdan, "Evaluation of Impact of Data Processing on Quality of Machine Learning Model", Volume 9 Issue 8, August 2020, International Journal of Science and Research (IJSR), Pages: 641-643, https://www.ijsr.net/getabstract.php?paperid=SR20811133634, DOI: https://dx.doi.org/10.21275/SR20811133634