this has nothing to do with feature engineering and generation. I never added or changed any features in the example. It is exactly in the realm of automl, yo

this has nothing to do with feature engineering and generation. I never added or changed any features in the example. It is exactly in the realm of automl, you run a model, -because- you are missing data, your model is making wrong assumptions. You could argue (which you didn't) that this would fall under model interpretation, but a model in this example would probably fail to generalize and make bad predictions in the future: IE slamming home values because they have large square footage.