Use pandas to parse the fetched the example dataset.

ogrisel · glemaitre · web-flow · commit 180ee0eb51b9 · 2023-03-16T14:14:13.000+01:00
Co-authored-by: Guillaume Lemaitre &lt;g.lemaitre58@gmail.com&gt;
diff --git a/examples/preprocessing/plot_target_encoder.py b/examples/preprocessing/plot_target_encoder.py
@@ -23,7 +23,7 @@
 # be a reviewer:
 from sklearn.datasets import fetch_openml
 
-wine_reviews = fetch_openml(data_id=42074, as_frame=True, parser="liac-arff")
+wine_reviews = fetch_openml(data_id=42074, as_frame=True, parser="pandas")
 
 df = wine_reviews.frame
 df.head()
