> The gap between tree-based models and deep learning becomes narrower as the dataset size increases (here: 10k -> 50k).
I am curious if there is a sample threshold where it's worth exploring deep learning approaches to tabular data. I wonder if there are other considerations (e.g., inference speed, explainability, etc.).
I am curious if there is a sample threshold where it's worth exploring deep learning approaches to tabular data. I wonder if there are other considerations (e.g., inference speed, explainability, etc.).