code: def markedness(self, idx):
      return (
          self.positive_predictive_value(idx)
          + self.negative_predictive_value(idx)
          - 1
      )
  
imports: import logging
  from collections import OrderedDict
  import numpy
  from sklearn import metrics
  from sklearn.metrics import confusion_matrix
label_desc: Use image node_id 27 for calling the ConfusionMatrix obj's underlying member method code with example usage: obj.markedness(idx) and returns: unknown