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Solve the following problem using Python, implementing the functions described below, one line at a time
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Description:
 def ce(actual, predicted):
 """ Computes the classification error. This function computes the classification error between two lists Parameters actual : list A list of the true classes predicted : list A list of the predicted classes Returns ------- score : double The classification error between actual and predicted """

    return (sum([1.0 for x,y in zip(actual,predicted) if x != y]) /
            len(actual))