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 # ⚡ sparsely ⚡
-`sparsely` is a `sklearn`-compatible Python module for sparse linear regression and classification. It is fast, using a cutting plane algorithm that efficiently scales to thousands of samples and features.
+`sparsely` is a `sklearn`-compatible Python module for sparse linear regression and classification. It uses an efficient cutting-plane algorithm to optimize feature selection, which scales to thousands of samples and features.
 This implementation follows [Bertsimas & Van Parys (2017)](https://arxiv.org/pdf/1709.10029.pdf) for regression, and [Bertsimas, Pauphilet & Van Parys (2021)](https://link.springer.com/article/10.1007/s10994-021-06085-5) for classification.
 
 Full API documentation can be found [here](https://joshivanhoe.github.io/sparsely/).