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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 confusion_matrix(self):
 """ Returns the normalised confusion matrix """

        confusion_matrix = self.pixel_classification_sum.astype(np.float)
        confusion_matrix = np.divide(confusion_matrix.T, self.pixel_truth_sum.T).T

        return confusion_matrix * 100.0