Comment by westurner

From https://twitter.com/FrankRHutter/status/1583410845307977733 :

> This may revolutionize data science: we introduce TabPFN, a new tabular data classification method that takes 1 second & yields SOTA performance (better than hyperparameter-optimized gradient boosting in 1h). Current limits: up to 1k data points, 100 features, 10 classes. 1/6

[Faster and more accurate than gradient boosting for tabular data: Catboost, LightGBM, XGBoost]