ARTICLE AD BOX
In House Price Prediction problem, I am trying to find out the coefficients of different features through linear regression model. While trying to find out the coefficients, I faced an issue. The value of R^2 for train data is coming ~ 72%, while for test data it is coming around -3.56%, eventhough I have properly handled the test and train data from data leakage as far as I believe.
The snippets of different R^2 are attached along with the python script are attached for your reference. Please have a look and provide me some background what might be the reason for this along with some feedbacks and solutions.
Google Collab Script: https://colab.research.google.com/drive/1pvwIF72LwP235HMT15MY0Qf-rFqkOB-w
Snippet: Image
