accuracy computation separate from print

2_classification.py

@@ -43,7 +43,9 @@ print("\n Actual   Predicted")
 for i in range(10):
     print("{0:6.2f}  {1:8.2f}".format(y_test[i], y_pred[i]))
 print(""" -- Performance ---""")
-print("Accuracy  \t{0:5.2f}".format( metrics.accuracy_score(y_test, y_pred)))
+
+accuracy = metrics.accuracy_score(y_test, y_pred)
+print("Accuracy  \t{0:5.2f}".format(accuracy))
 
 
 """ Visualize the tree """               # https://scikit-learn.org/stable/auto_examples/tree/plot_unveil_tree_structure.html#sphx-glr-auto-examples-tree-plot-unveil-tree-structure-py