Re:Why do tree-based models still outperform deep learning o...
by lr1970 on Wednesday August 03, 2022 @07:40PM
(#32337709)
> I have a theory - tree based models require minimal feature engineering.
Actually, the whole premise of Deep Learning is to learn proper feature representations from data with minimal data preprocessing. And it works wonderfully in CV and NLP but is less performant in tabular data. The paper indicates that there are several contributing factors to the DL underperforming.
Actually, the whole premise of Deep Learning is to learn proper feature representations from data with minimal data preprocessing. And it works wonderfully in CV and NLP but is less performant in tabular data. The paper indicates that there are several contributing factors to the DL underperforming.