There are more than thousands of insurance companies in the world which handles large amount of data. Insurance
fraud has become the most common among the organizations across the industries. Insurance industry is one among the most
growing industries hence fraud detection becomes very important in this current world. Fraud detection can be implemented in
various fields like banking, insurance, financial sectors and information security systems. There are many approaches by which
fraud can be detected. In this paper, we use various techniques of machine learning for the detection of vehicle insurance fraud.
We make use of Random forest and KNN algorithm for the accuracy detection the insurance fraud. The performance
calculation is done by calculation of confusion matrix.
