4 ms·
On the one hand, this is impressive. TabPFN was already state of the art and is seriously shaking up Bayesian prediction for tabular data (which is almost every
by hodgehog11 4mo ago
On the one hand, this is impressive. TabPFN was already state of the art and is seriously shaking up Bayesian prediction for tabular data (which is almost everything).
On the other hand, perhaps it is just me, but I do not feel that this is an acceptable form of benchmark reporting in this domain. TabArena actually has multiple metrics, since ELO does not properly quantify the degree of improvement. The fact that these are not displayed here should give pause. Also the results section in the GitHub is a dumpster fire.
- Eridrus 4mo agoGitHub Repo: Please see the results folder Results folder: Here's some undocumented parquet files Definitely feels like they're hiding the ball lol. If they had good benchmarks they'd talk about them. Not comparing to tuned xgboost is also a warning sign.
- nok22kon 4mo agowouldn't xgboost be covered under autogluon? not perfect, but not missing either
- Eridrus 4mo agoHonestly, I don't really know AutoGluon, if this does xgboost tuning that's good. I do still think ELO scores are still a way to obscure results though. For all we know this is like 0.1% better than a "normal" approach on like 70% of tasks and a tire fire on others.
- nok22kon 4mo agoAutoGluon does their own benchmarking, the default is Elo, but you can switch to other metrics: https://huggingface.co/spaces/TabArena/leaderboard https://huggingface.co/spaces/TabArena/leaderboard xgboost is listed, they say "tuned" but who knows what that means. and its below CatBoost and LightGBM as an aggregator of models (trees, neural networks, clustering, ...) AutoGluon doesn't really have a dog in this fight
- Eridrus 4mo agoThanks for the pointer, though I can't seem to find TabFM and AutoGluon at that link?