Update benchmarking_guide.md

mlfoundations · Dec 14, 2023 · 9ff1063 · 9ff1063
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 `tableshift` seeks to support a wide range of supervised learning algorithms. Benchmark data is available in a variety of formats used by common learning frameworks (Pandas `DataFrame`s, Torch `DataLoader`s, and even Ray Datasets) and is serializable to disk so that preprocessing need only happen once.
 
-This page provides a walkthrough for bennchmarking an algorithm on the TableShift benchmark.
+This page provides a walkthrough for benchmarking an algorithm on the TableShift benchmark.
 
 ## Setup