<abstract xmlns="http://www.w3.org/1999/xhtml"><p>In this paper, we present the impact of the data normalization on the classification model performance. In first part of this paper, we present the structure of our dataset, where we discuss the features of the data set and basic statistical analysis of the data. In this research, we worked with the medical data about the patients with the Parkinson disease. In second part of this paper, we present the process of data normalization and the impact of scaling data on the classification model performance. In this research, we used the XGBoost model as our classification model. The main classification task was to classify whether the patient is ill with Parkinson disease or not. Since the data set contains more numerical parameters of different scaling, the main aim of this paper was to investigate the impact of the data normalization (scaling) on the performance of the classification model.</p></abstract>

In this paper, we present the impact of the data normalization on the classification model performance. In first part of this paper, we present the structure of our dataset, where we discuss the features of the data set and basic statistical analysis of the data. In this research, we worked with the medical data about the patients with the Parkinson disease. In second part of this paper, we present the process of data normalization and the impact of scaling data on the classification model performance. In this research, we used the XGBoost model as our classification model. The main classification task was to classify whether the patient is ill with Parkinson disease or not. Since the data set contains more numerical parameters of different scaling, the main aim of this paper was to investigate the impact of the data normalization (scaling) on the performance of the classification model.

Impact of Data Normalization on Classification Model Accuracy

Slovak University of Technology in Bratislava

Faculty of Materials Science and Technology in Trnava, Institute of Applied Informatics, Automation and Mechatronics

Kalashnikov Izhevsk State Technical University

Research Papers Faculty of Materials Science and Technology Slovak University of Technology

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.

{"article-title":"Impact of Data Normalization on Classification Model Accuracy"}

In this paper, we present the impact of the data normalization on the classification model performance. In first part of this paper, we present the structure...

Impact of Data Normalization on Classification Model Accuracy

Data publikacji: 16 gru 2019

Zakres stron: 79 - 84

Otrzymano: 23 sie 2019

Przyjęty: 08 paź 2019

DOI: https://doi.org/10.2478/rput-2019-0029

Słowa kluczowe
Data normalization, model accuracy, classification

© 2019 Dmitrii Borkin et al., published by Sciendo

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.

Impact of Data Normalization on Classification Model Accuracy

Data publikacji: 16 gru 2019

Zakres stron: 79 - 84

Otrzymano: 23 sie 2019

Przyjęty: 08 paź 2019

DOI: https://doi.org/10.2478/rput-2019-0029

Słowa kluczoweData normalization, model accuracy, classification

© 2019 Dmitrii Borkin et al., published by Sciendo

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.

Słowa kluczowe
Data normalization, model accuracy, classification