class_docstr: Propensity Stratified Result Class for a single model
  
  Parameters
  ----------
  model_name: string, required
      The name of the recommender model.
code: def __init__(self, model_name):
      super().__init__()
      self.model_name = model_name
  
imports: import numpy
  from collections import OrderedDict
label_desc: Use image node_id 1 to create a new PSTResult object from inherited base classes: list with example: obj = PSTResult(model_name)