change comment, printed comment, and code behavior to all reflect computation of mean squared error

Author: KjellSwedin

examples/linear_model/plot_ols.py

@@ -50,9 +50,9 @@
 
 # The coefficients
 print('Coefficients: \n', regr.coef_)
-# The mean square error
-print("Residual sum of squares: %.2f"
-      % np.sum((regr.predict(diabetes_X_test) - diabetes_y_test) ** 2))
+# The mean squared error
+print("Mean squared error: %.2f"
+      % np.mean((regr.predict(diabetes_X_test) - diabetes_y_test) ** 2))
 # Explained variance score: 1 is perfect prediction
 print('Variance score: %.2f' % regr.score(diabetes_X_test, diabetes_y_test))