class_docstr: SplitCriterion
  
  Abstract class for computing splitting criteria with respect to distributions of class values.
  The split criterion is used as a parameter on decision trees and decision stumps.
  
  This class should not me instantiated, as none of its methods are implemented.
code: def __init__(self):
      super().__init__()
  
imports: from __future__ import annotations
  import abc
label_desc: Use image node_id 1 to create a new SplitCriterion object from inherited base classes: abc with example: obj = SplitCriterion()