class_docstr: Binary confusion matrix class
docstr: Returns a DataFrame reminder about terms
  * TN: True Negative
  * FP: False Positive
  * FN: False Negative
  * TP: True Positive
docstr_tok: ["Returns","a","DataFrame","reminder","about","terms","*","TN",":","True","Negative","*","FP",":","False","Positive","*","FN",":","False","Negative","*","TP",":","True","Positive"]
code: def help(cls):
      """
      Returns a DataFrame reminder about terms
      * TN: True Negative
      * FP: False Positive
      * FN: False Negative
      * TP: True Positive
      """
      df = pd.DataFrame(
          [["TN", "FP"], ["FN", "TP"]],
          columns=[False, True],
          index=[False, True],
      )
      df.index.name = cls.TRUE_NAME
      df.columns.name = cls.PRED_NAME
      return df
  
imports: from __future__ import absolute_import, division, print_function, unicode_literals
  import math
  import numpy
  import pandas
  import collections
  from pandas_ml.confusion_matrix.abstract import ConfusionMatrixAbstract
label_desc: Use image node_id 2 for calling the BinaryConfusionMatrix obj's underlying member method code with example usage: obj.help(cls) and returns: df