COMPARATIVE ANALYSIS FOR INSURANCE CLAIM USING MACHINE LEARNING

Abstract

An insurance company operating as a business has encountered fraud cases involving a variety of claims since a few years ago. Numerous organizations are collaborating with the government to identify and stop these actions because the amount claimed fraudulently is so large and could cause serious problems. Such fakes happened in each space of protection guarantee with high seriousness, for instance, protection guarantee towards the auto area is extortion that is much of the time asserted and noticeable kind, which might be finished by bogus mishap guarantee. Consequently, we want to make an undertaking that investigations a bunch of protection guarantee information to track down misrepresentation and expanded claims. A claim assessment and labelling model is created by the research using machine learning algorithms.