Modeling and classification of deaths due to Covid 19 based on machine learning technique

Abstract

Statistical classification is recently considered one of the most important and most common methods in machine learning models and consists of building models that define the target of research interest. There are many classification methods that can be used to predict the value of a response. In this article, we are interested in machine learning applications to classify the new deaths due to Covid-19. Under consideration BIC criterion, the experimental results have shown that the E (Equal variance) with four is the best mixture model. The convergence in the algorithm of expectation-maximization is satisfied after 167 iterations. The World Health Organization has presented the source of data over the period of March 2, 2020 to August 5, 2020.