class_docstr: Cross Validation Result Class for a single model. A list of :obj:`cornac.experiment.Result`.
  
  Parameters
  ----------
  model_name: string, required
      The name of the recommender model.
      
  Attributes
  ----------    
  metric_mean: :obj:`OrderedDict`
      A dictionary containing the mean of results across all folds per-metric.
  
  metric_std: :obj:`OrderedDict`
      A dictionary containing the standard deviation of results across all folds per-metric.
code: def __init__(self, model_name):
      super().__init__()
      self.model_name = model_name
      self.metric_mean = OrderedDict()
      self.metric_std = OrderedDict()
  
imports: import numpy
  from collections import OrderedDict
label_desc: Use image node_id 1 to create a new CVResult object from inherited base classes: list with example: obj = CVResult(model_name)