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SaifSagor / Medical-Insurance-Cost-Prediction-using-Multivariate-Linear-Regression

This model predicts the cost of medical insurance and the model was trained using multivariate linear regression algorithm.
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Medical Insurance Cost Prediction using Multivariate Linear Regression #1

Open SaifSagor opened 1 year ago

SaifSagor commented 1 year ago

This model utilizes a multivariate linear regression algorithm to predict the cost of medical insurance. The dataset consists of 1338 data points with 6 input features and 1 target variable. Prior to training the model, exploratory data analysis and visualization techniques were applied.

Unfortunately, the accuracy of the model was found to be unsatisfactory, measuring at 74.5%. In order to improve the accuracy, alternative regression algorithms can be further explored and applied.

SaifSagor commented 1 year ago

The source code file and dataset are included below:

Medical-Insurance-Cost-Prediction-using-Multivariate-Linear-Regression-main.zip

SaifSagor commented 1 year ago

You can also see the source code from the following repository link:

https://github.com/SaifSagor/Medical-Insurance-Cost-Prediction-using-Multivariate-Linear-Regression/tree/main