Tyler James Burch
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Been expanding work benchmarking #TabPFN against more standard #tabular classification methods.
Here’s a comparison of training accuracy on Census data as a function of training set size. #XGBoost produces equal accuracy to TabPFN’s max training size using just 500 records - half(!) as many!
XGB does 1.5% better on an equal training set size (1024), and 5% better using the full data (30k points).