code: def sigma_m(self) -> float:
      if self.classification:
          return 3 / (self.k * np.power(self.n_trees, 0.5))
      return 0.5 / (self.k * np.power(self.n_trees, 0.5))
  
imports: from copy import deepcopy, copy
  from typing import List, Generator, Optional
  from imodels.util.checks import check_is_fitted
  import numpy
  import pandas
  from .data import Data
  from .initializers.initializer import Initializer
  from .initializers.sklearntreeinitializer import SklearnTreeInitializer
  from .sigma import Sigma
  from .split import Split
  from .tree import Tree, LeafNode, deep_copy_tree
label_desc: Use image node_id 11 for calling the Model obj's underlying member method code with example usage: obj.sigma_m() and returns: unknown, unknown