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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 _classifiers(self):
 """ Get a set of supported classifiers. Returns ------- classifiers : {set} The set of supported classifiers. """


        # sklearn version < 0.18.0
        classifiers = (
            AdaBoostClassifier,
            BernoulliNB,
            DecisionTreeClassifier,
            ExtraTreesClassifier,
            GaussianNB,
            KNeighborsClassifier,
            LinearSVC,
            NuSVC,
            RandomForestClassifier,
            SVC,
        )

        # sklearn version >= 0.18.0
        if self.sklearn_ver[:2] >= (0, 18):
            from sklearn.neural_network.multilayer_perceptron \
                import MLPClassifier
            classifiers += (MLPClassifier, )

        return classifiers