The forecasting model used random forest algorithm. From the outcomes, it has been found that the regression models utilize basic linkage works and are exceptionally solid for forecast of COVID-19 cases in different countries as well as India. The current share of worldwide COVID-19 confirmed cases has been predicted by taking the world population, and a comparative study has been done on COVID-19 total case growth for the top 10 worst-affected countries including US and excluding US. The ratio between confirmed cases vs. fatalities of COVID-19 is predicted, and in the end, a special study has been done on India where the authors have forecasted all the age groups affected by COVID-19. Then they have extended the study to forecast the active, death, and recovered cases in India and compared the situation with other countries.
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