diff --git a/doc/tutorial/statistical_inference/supervised_learning.rst b/doc/tutorial/statistical_inference/supervised_learning.rst index dbba1cb727e47..6fab7e3cbb59e 100644 --- a/doc/tutorial/statistical_inference/supervised_learning.rst +++ b/doc/tutorial/statistical_inference/supervised_learning.rst @@ -341,7 +341,7 @@ application of Occam's razor: *prefer simpler models*. solves the lasso regression problem using a `coordinate descent `_ method, that is efficient on large datasets. However, scikit-learn also - provides the :class:`LassoLars` object using the *LARS* algorthm, + provides the :class:`LassoLars` object using the *LARS* algorithm, which is very efficient for problems in which the weight vector estimated is very sparse (i.e. problems with very few observations).