clf = Perceptron

Author: Hobson Lane

doc/modules/linear_model.rst

@@ -1239,6 +1239,6 @@ This way, we can solve the XOR problem with a linear classifier::
            [ 1.,  0.,  1.,  0.],
            [ 1.,  1.,  0.,  0.],
            [ 1.,  1.,  1.,  1.]])
-    >>> reg = Perceptron(fit_intercept=False, n_iter=10, shuffle=False).fit(X, y)
-    >>> reg.score(X, y)
+    >>> clf = Perceptron(fit_intercept=False, n_iter=10, shuffle=False).fit(X, y)
+    >>> clf.score(X, y)
     1.0