Open stta9 opened 1 month ago
Hi there,
Thank you so much for your feedback.
About the model selection, you can write a loop and try several training models and choose the one with the higher accuracy, or even separately without the loop, it doesn't matter. As for my model, the R²=0.997, which is a good result for the training model. The low values of MSE, MAE, and RMSE, along with the high R² value, suggest that the model accurately predicts the target variable and is a good fit for the data. You can note, that in this kind of problem, you can use Linear Regression, one of the most-used regression algorithms in Machine Learning. However, always consider the accuracy score.
Best regards, Maria
I have no idea where to leave the comment, so this is what I do. In case of questions, let me know.
The project is bombastic! The code is clear and understandable, though please, follow pep-8. The visualization makes it very easy to understand what's going on. The only thing that I would like to know why did your choice fall on this particular model?
Thanks! Best of luck in your studies.