class_docstr: Performs element-wise subtraction of two lists.
  
  Description:
      Given a list of values X and a list of values
      Y, determine the difference of each value
      in X from its corresponding value in Y.
  
  Args:
      commutative (bool): determines if Deep Feature Synthesis should
          generate both x - y and y - x, or just one. If True, there is no
          guarantee which of the two will be generated. Defaults to True.
  
  Notes:
      commutative is True by default since False would result in 2 perfectly
      correlated series.
  
  Examples:
      >>> subtract_numeric = SubtractNumeric()
      >>> subtract_numeric([2, 1, 2], [1, 2, 2]).tolist()
      [1, -1, 0]
code: def generate_name(self, base_feature_names):
      return "%s - %s" % (base_feature_names[0], base_feature_names[1])
  
file_path: featuretools/featuretools/primitives/standard/transform/binary/subtract_numeric.py
imports: import numpy
  from woodwork.column_schema import ColumnSchema
  from featuretools.primitives.base.transform_primitive_base import TransformPrimitive
  from featuretools.utils.gen_utils import Library
label_desc: Use image node_id 3 for calling the SubtractNumeric obj's underlying member method code with example usage: obj.generate_name(base_feature_names) and returns: unknown