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 7 hours ago [-]
GitHub 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 2 hours ago [-]
wouldn't xgboost be covered under autogluon? not perfect, but not missing either
kingjimmy 8 hours ago [-]
interesting to see this from Google after the SAP acquisition of Prior Labs.
https://news.ycombinator.com/item?id=48689744
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.
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.