DOC exchanged boston for diabetes dataset in plot_cv_predict
@@ -14,7 +14,7 @@ from sklearn import linear_model
import matplotlib.pyplot as plt
lr = linear_model.LinearRegression()
-X, y = datasets.load_boston(return_X_y=True)
+X, y = datasets.load_diabetes(return_X_y=True)
# cross_val_predict returns an array of the same size as `y` where each entry
# is a prediction obtained by cross validation:
