scikit-learn
diff --git a/‎dev/_downloads/grid_search_digits.py
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diff --git a/‎dev/_images/plot_agglomerative_clustering.png
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diff --git a/‎dev/_images/plot_agglomerative_clustering1.png
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diff --git a/‎dev/_images/plot_agglomerative_clustering_001.png
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diff --git a/‎dev/_images/plot_agglomerative_clustering_0011.png
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diff --git a/‎dev/_images/plot_agglomerative_clustering_002.png
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diff --git a/‎dev/_images/plot_agglomerative_clustering_0031.png
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@@ -51,7 +51,7 @@
     print()
 
     clf = GridSearchCV(SVC(C=1), tuned_parameters, cv=5,
-                       scoring='%s_weighted' % score)
+                       scoring='%s_macro' % score)
     clf.fit(X_train, y_train)
 
     print("Best parameters set found on development set:")