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mariapetrosyann / Station-Project-1-The-Prediction

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Project peer evaluation #1 #1

Open stta9 opened 1 month ago

stta9 commented 1 month ago

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.

mariapetrosyann commented 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