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  1. clf = tree.DecisionTreeClassifier()
  2. clf.fit(X_train, y_train)
  3. pred = clf.predict(X_test)
  4.    
  5. clf = tree.DecisionTreeClassifier()
  6. clf.fit(X_train, y_train)
  7. scaler = preprocessing.StandardScaler().fit(X_train)
  8. pred = clf.predict(X_test)
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