Keywords : Mean absolute error
European Journal of Molecular & Clinical Medicine,
2020, Volume 7, Issue 7, Pages 371-380
The epidemic of Covid-19 has created a disastrous situation around the globe. The spread of Covid-19 is drastically increasing day by day. Machine learning is one of the efficient tools to track the outbreak of the disease, forecast the probable confirmed and death cases as well as the fatality rate. This study applies multiple regression analysis which is one of the supervised machine learning algorithms to analyze and forecast the fatality rate. The study was conducted to predict the spread of Covid-19 in areas of Telangana, Andhra Pradesh, and India. R-Square (R2), Mean square error (MSE), Root mean square error (RSME) and Mean absolute error (MAE) are the main measures used to predict the accuracy of the algorithm. The results reveal that the case fatality rate is higher in Telangana compared to Andhra Pradesh and India, and more diseased cases are observed in Andhra Pradesh. The study was conducted with the available data; if sufficient data is available then the more precise predictions could be possible using multiple regression analysis.