International Journal of Science and Research (IJSR)

International Journal of Science and Research (IJSR)
Call for Papers | Fully Refereed | Open Access | Double Blind Peer Reviewed

ISSN: 2319-7064


Downloads: 79

Research Paper | Computer Science and Information Technology | Ukraine | Volume 9 Issue 8, August 2020


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

Solovei Olga [2] | Solovei Bohdan [2]


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


Edition: Volume 9 Issue 8, August 2020,


Pages: 641 - 643


How to Download this Article?

You Need to Register Your Email Address Before You Can Download the Article PDF


How to Cite this Article?

Solovei Olga, Solovei Bohdan, "Evaluation of Impact of Data Processing on Quality of Machine Learning Model", International Journal of Science and Research (IJSR), Volume 9 Issue 8, August 2020, pp. 641-643, https://www.ijsr.net/get_abstract.php?paper_id=SR20811133634

Similar Articles with Keyword 'confusion matrix'

Downloads: 2 | Weekly Hits: ⮙1 | Monthly Hits: ⮙1

Analysis Study Research Paper, Computer Science and Information Technology, Zimbabwe, Volume 11 Issue 12, December 2022

Pages: 283 - 286

A Model to Predict Survival among Pancreatic Cancer Patients using Supervised Machine Learning

Simbarashe N. Manyetu | Monika Gondo [3]

Share this Article

Downloads: 3 | Weekly Hits: ⮙2 | Monthly Hits: ⮙2

Masters Thesis, Computer Science and Information Technology, India, Volume 10 Issue 11, November 2021

Pages: 630 - 633

Heart Disease Prediction Using Machine Learning Techniques

Vajja Nagavallika

Share this Article
Top