class_docstr: Abstract class for confusion matrix
  
  You shouldn't instantiate this class.
  You might instantiate ConfusionMatrix or BinaryConfusionMatrix classes
class_docstr_tok: ["Abstract","class","for","confusion","matrix","You","should","n't","instantiate","this","class",".","You","might","instantiate","ConfusionMatrix","or","BinaryConfusionMatrix","classes"]
docstr: Return an OrderedDict with statistics
docstr_tok: ["Return","an","OrderedDict","with","statistics"]
code: def stats(self, lst_stats=None):
      """
      Return an OrderedDict with statistics
      """
      d_stats = collections.OrderedDict()
      d_stats["cm"] = self
      d_stats["overall"] = self.stats_overall
      d_stats["class"] = self.stats_class
      return d_stats
  
imports: import numpy
  import pandas
  import collections
  import pandas_ml
  from pandas_ml.confusion_matrix.stats import binom_interval, class_agreement, prop_test
label_desc: Use image node_id 23 for calling the ConfusionMatrixAbstract obj's underlying member method code with example usage: obj.stats(lst_stats) and returns: d_stats