Published Paper Details:

Many elements affect the expenses of health insurance and it's far quite a tough project to analyze the sample from those capabilities. We use a regression version to recognize and study a complex sample that enables us to predict the price of medical insurance .In this paper, we used a dataset from Kaggle that consists of 6 capabilities and 1338 instances .We will be taking the assistance of diverse regression models and reading which model's overall performance is excessive in predicting medical insurance .Regression is a statistical procedure for calculating the cost of a primarily based variable from an impartial variable. Regression measures the affiliation among variables. it's far a modeling method wherein a based variable is predicted primarily based on one or more unbiased variables. Regression evaluation is the maximum widely used of all statistical techniques. This text explains the primary concepts and explains how we can do regression calculations.