docs: def sens_from_spec(spec, labels, scores, *args, **kwargs):
      r"""Find the sensitivity that corresponds to the indicated specificity (ROC function)
      sensitivity = Num_True_Positive / (Num_True_Postive + Num_False_Negative)
      specificity = Num_True_Negative / (Num_True_Negative + Num_False_Positive)
      """
      thresh = thresh_from_spec(spec, labels, scores)
      df = pd.DataFrame(list(zip(labels, scores[scores > thresh].astype(int))))
      c = Confusion(df, *args, **kwargs)
      return c._binary_sensitivity