Abstract

The biggest health issue in the world is COVID-19. Many variants came into\nexistence in 2019 due to changing behavior of the virus. The virus is easily converted in a new\nvariant or strain, which behaves differently from the previous variant in terms of transmission\nrate, infection rate, severity, and death rate. With the fast spread and mutating behavior of the\nvirus, the healthcare system faced a lot of pressure to deal with it. Predicting the transmission\ngrowth of virus and the number of new, confirmed, recovered, and dead cases in the future\nhave become a big issue for the healthcare sector so that they can increase medical facilities to\ncope with this virus. The worsening conditions need immediate execution of control schemes to\nstop its transmission. This paper introduces the concept of machine learning algorithms and\naccuracy-based Evaluation of Machine Learning Models.