Prediction Analysis of Natural Disasters Using Machine Learning

Abstract

At present, the entire world has suffered a lot due to natural calamities such as torrential rain flows, earthquakes, tsunamis, storms, as well as global warming. Natural disasters create issues for the livelihoods of all the people. Many people may lose their belongings, and their life too. Some of these disasters may even lead to the spread of some kinds of diseases, which may affect people later. Although technology has grown in all the fields, prediction of the natural disaster becomes tedious for all researchers. Nowadays, machine learning algorithms provide a feasible solution for social issues. So, this chapter addresses the performances of decision tree and K-means algorithms to predict the natural disaster and analyze the performance.