ПОРІВНЯННЯ АЛГОРИТМІВ МАШИННОГО НАВЧАННЯ ДЛЯ ПРОГНОЗУВАННЯ СМЕРТНОСТІ ВІД ВІРУСУ COVID-19

Iryna Doroshenko; Tatiana Knihnitska; Tetiana Deretorska

doi:10.30888/2663-5712.2022-11-02-045

COMPARISON OF MACHINE LEARNING ALGORITHMS FOR PREDICTING MORTALITY FROM COVID-19 VIRUS

Authors

Iryna Doroshenko Chernivtsi National University https://orcid.org/0000-0001-8729-1768
Tatiana Knihnitska Chernivtsi National University https://orcid.org/0000-0003-4614-5945
Tetiana Deretorska Chernivtsi National University https://orcid.org/

DOI:

https://doi.org/10.30888/2663-5712.2022-11-02-045

Keywords:

Machine Learning, Random Forest, Support Vector Machine, Logistic Regression, K-means

Abstract

The article compares the effectiveness of Machine Learning Algorithms on the example of Covid-19 distribution data. The following Machine Learning algorithms are considered: Logistic Regression, Support Vector Machine, Random Forest, K-Means. The accuracy

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References

Anandhanathan, Praveen & Gopalan, Priyanka. (2021). Comparison of Machine Learning algorithm for COVID-19 Death Risk Prediction. 10.21203/rs.3.rs-196077/v1.

Edureka courses https://www.edureka.co/blog/random-forest-classifier/ [Електронний ресурс]

Международный научный периодический рецензируемый журнал "SWorldJournal"

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Published

2022-01-30

How to Cite

Дорошенко, І., Кнігніцька, Т., & Дереторська, Т. (2022). COMPARISON OF MACHINE LEARNING ALGORITHMS FOR PREDICTING MORTALITY FROM COVID-19 VIRUS. SWorldJournal, 2(11-02), 72–77. https://doi.org/10.30888/2663-5712.2022-11-02-045