How to evaluate accuracy of a regression model

Excellent! Congrats!

As a hint for a potential next step. Also:

can be useful. Especially the latter can be very helpful since it visualises the whole distribution of your training and e.g validation set and you can easily compare it against your business requirements (e.g. when predicting a pressure in a regression task, your business requirement might be:

less than 110 mbar pressure error allowed.


The residuals should be normally distributed and they should not show any patterns or correlations with your features.

Otherwise it might be worth to exploit this and incorporate this knowledge into your features.

Best regards