DOC Fix example Recursive feature elimination with cross-validation (scikit-learn#31516)

Author: StefRe

examples/feature_selection/plot_rfe_with_cross_validation.py

@@ -105,7 +105,7 @@
 
 for i in range(cv.n_splits):
     mask = rfecv.cv_results_[f"split{i}_support"][
-        rfecv.n_features_
+        rfecv.n_features_ - 1
     ]  # mask of features selected by the RFE
     features_selected = np.ma.compressed(np.ma.masked_array(feat_names, mask=1 - mask))
     print(f"Features selected in fold {i}: {features_selected}")