How can I improve my regression model's accuracy?

How can I improve my regression model's accuracy?

There are several ways to enhance your regression model's accuracy. Have you considered feature selection or regularization?

I haven't tried feature selection yet. What methods do you recommend?

You can use techniques like Recursive Feature Elimination (RFE) or Lasso regression to identify and select important features.

What about regularization? How does it help?

Regularization helps prevent overfitting by adding a penalty for larger coefficients, which can improve model generalization.

Are there any specific metrics I should look at to evaluate my model?

Yes, metrics like R-squared, Mean Absolute Error (MAE), and Root Mean Squared Error (RMSE) are great for evaluating regression models.