Machine Learning for The Diagnosis of Covid-19

Abstract

A singular coronavirus (SARS-CoV-2) is an unusual viral pneumonia in sufferers, first determined in overdue December 2019, latter it declared a virus via world health corporations because of its deadly consequences on public health. In this present, cases of COVID-19 pandemic are exponentially increasing every day within the entire international. here, we're detecting the COVID-19 cases, i.e., showed, demise, and cured cases in India handiest. We are performing this evaluation based totally at the cases taking place in the world in chronological dates. Our dataset incorporates a couple of instructions so we're performing multi-elegance classification. in this dataset, first, we completed statistics cleaning and feature choice, then done forecasting of all lessons the usage of random forest, linear model, assist vector machine, selection tree, and neural network, in which random wooded area model outperformed the others, therefore, the random forest is used for prediction and analysis of all the outcomes. The okay-fold move-validation is carried out to measure the consistency of the version.