| dc.contributor.author | Doroshenko, Iryna | |
| dc.contributor.author | Knihnitska, Tatiana | |
| dc.contributor.author | Deretorska, Tetiana | |
| dc.date.accessioned | 2022-11-21T08:05:22Z | |
| dc.date.available | 2022-11-21T08:05:22Z | |
| dc.date.issued | 2022 | |
| dc.identifier.citation | 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 | uk_UA |
| dc.identifier.issn | 2663-5712 | |
| dc.identifier.uri | https://archer.chnu.edu.ua/xmlui/handle/123456789/5927 | |
| dc.description.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 of the constructed models was used to compare the Algorithms. All statistical studies were conducted in the R Programming language | uk_UA |
| dc.description.sponsorship | Математичного моделювання | uk_UA |
| dc.language.iso | other | uk_UA |
| dc.publisher | SWorldJournal | uk_UA |
| dc.subject | Machine Learning | uk_UA |
| dc.subject | Support Vector Machine | uk_UA |
| dc.subject | Random Forest | uk_UA |
| dc.subject | Logistic Regression | uk_UA |
| dc.title | COMPARISON OF MACHINE LEARNING ALGORITHMS FOR PREDICTING MORTALITY FROM COVID-19 VIRUS | uk_UA |
| dc.title.alternative | ПОРІВНЯННЯ АЛГОРИТМІВМАШИННОГО НАВЧАННЯ ДЛЯПРОГНОЗУВАННЯ СМЕРТНОСТІ ВІД ВІРУСУ COVID-19 | uk_UA |
| dc.type | Article | uk_UA |
