Possibilities of Prediction of COVID 19 using K-Nearest Neighbour Algorithm

Abstract

Nowadays the entire world has been suffered by a virus called corona which creates panic to the entire world. Even though the world has reached out its advanced level in medical and all other techniques this unseen virus has created an impact to the entire world. This virus has been explored in Wuhan at china, then it spread the entire world and the effect is being very dangerous. In this regard although there is been many researchers have given different solution to predict the root causes of this disease still it is a challenging task. So, this article addressed about the possibility of prediction rate using KNN algorithm. This proposed method would produce 85% of prediction accuracy and 1.4% to 3.4% accuracy improvement when compared with other algorithm. When compared with all other algorithm K- Nearest neighbour algorithm has given better classification than other machine learning algorithm for predicting the COVID 19 possibilities also it diminishes the error rate of prediction accuracy.