Medical Cost Personal Datasets Insurance Forecast By Using Linear Regression at Car Insurance

Medical Cost Personal Datasets Insurance Forecast By Using Linear Regression. We will use the linear regression algorithm to predict insurance. Nidhi bhardwaj , rishabh anand.

Predicting Medical Insurance Costs — Machine Learning | By Mamtha |  Analytics Vidhya | Medium
Predicting Medical Insurance Costs — Machine Learning | By Mamtha | Analytics Vidhya | Medium from medium.com

Ordinary least squares linear regression (lr) regression is the most widely used method in predictive modeling. Body mass index, providing an understanding of body, weights that are relatively high or low relative to height, objective index of body weight (kg / m ^ 2) using the. Three regression models naming multiple linear regression, decision tree regression and gradient.

Predicting Medical Insurance Costs — Machine Learning | By Mamtha | Analytics Vidhya | Medium

Medical cost personal datasets content the dataset columns age: In this example, it will be presented how to simply analyze a raw data and to use regression model for the purpose of analyzing the medical costs data. The insurance money is calculated from a medical cost dataset which has various features to work with. The column descriptions look like this: