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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 _get_quantile_ratio(self, X, y):
 """find the expirical quantile of the model Parameters X : array-like, shape (n_samples, m_features) Training vectors, where n_samples is the number of samples and m_features is the number of features. y : array-like, shape (n_samples,) Target values (integers in classification, real numbers in regression) For classification, labels must correspond to classes. Returns ------- ratio : float on [0, 1] """

        y_pred = self.predict(X)
        return (y_pred > y).mean()