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Again, my point is that for a given data set, an auto ml system is much more efficient and radically cheaper than human modeler. You are pointing to an area ou
by streetcat1 7y ago
Again, my point is that for a given data set, an auto ml system is much more efficient and radically cheaper than human modeler.
You are pointing to an area outside the realm of automl (feature engineering/generation) , which is domain specific. But this was not my original question.
- autokad 7y agothis 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.