Applying the final changes

Finally, after implementing all necessary feature modifications, proceed with training the model to evaluate its performance in terms of efficiency and accuracy. If you wish to conduct comparative analysis with an alternative model to assess whether it outperforms the Extra Trees algorithm, you may consider using a Random Forest Regressor for this purpose, but feel free to choose whichever model you prefer!

After all the changes are done, we can move on to the final deployment fase.