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  2. Volume 7, Issue 3
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Online ISSN: 2515-8260

Volume7, Issue3

SUPPORT VECTOR REGRESSION FOR PREDICTING COVID-19 CASES

    B Suvarna,Bhagya Lakshmi Nandipati, M Nirupama Bhat

European Journal of Molecular & Clinical Medicine, 2020, Volume 7, Issue 3, Pages 4882-4893

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Abstract

This study uses the Machine Learning models to forecast the number of upcoming cases affected by COVID-19. Particularly two models for forecasting such as Support Vector Regression and Linear regression (LR)are used in this study to predict future number of cases of COVID-19. Number of upcoming covid-19 cases is going to be happen and deaths are predicted by using these two models for the next 365 days. The predictions are done for India and the worldwide. Between these two SVR is performing well compared with Linear Regression.
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(2020). SUPPORT VECTOR REGRESSION FOR PREDICTING COVID-19 CASES. European Journal of Molecular & Clinical Medicine, 7(3), 4882-4893.
B Suvarna,Bhagya Lakshmi Nandipati, M Nirupama Bhat. "SUPPORT VECTOR REGRESSION FOR PREDICTING COVID-19 CASES". European Journal of Molecular & Clinical Medicine, 7, 3, 2020, 4882-4893.
(2020). 'SUPPORT VECTOR REGRESSION FOR PREDICTING COVID-19 CASES', European Journal of Molecular & Clinical Medicine, 7(3), pp. 4882-4893.
SUPPORT VECTOR REGRESSION FOR PREDICTING COVID-19 CASES. European Journal of Molecular & Clinical Medicine, 2020; 7(3): 4882-4893.
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