DOC clarified documentation on flip_y for make_classification
@@ -100,7 +100,7 @@ def make_classification(n_samples=100, n_features=20, n_informative=2,
``weights`` exceeds 1.
flip_y : float, optional (default=0.01)
- The fraction of samples whose class are randomly exchanged. Larger
+ The fraction of samples whose class is assigned randomly. Larger
values introduce noise in the labels and make the classification
task harder.
