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

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