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What was the reason that you didn't choose out of fold predictions for the next stage error estimations? That could have given your regressor more data to train on.
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Out of fold predictions is a really good idea. Honestly, I never even considered it. At that point, I was already in the lead and running low on time, so just did the bare minimum and submitted the code.
Apart from your suggestion, I've also seen some fantastic feature engineering done in the other code files, I think implementing those will also have a massive impact on the final score.
Yes, the Feature Engineering would have improved your regressor, indeed! But the crucial part was tuning the SVD parameters which I didn't and simply dropped the Idea and I can't even begin to describe how disappointed I am to see such good scores with it.
Error estimation was a really great idea!
What was the reason that you didn't choose out of fold predictions for the next stage error estimations? That could have given your regressor more data to train on.
The text was updated successfully, but these errors were encountered: