code: def __str__(self):
      if self.split_or_linear == "linear":
          if self.is_root:
              return f"X_{self.feature} * {self.value:0.3f} (Tree #{self.tree_num} linear root)"
          else:
              return f"X_{self.feature} * {self.value:0.3f} (linear)"
      else:
          if self.is_root:
              return f"X_{self.feature} <= {self.threshold:0.3f} (Tree #{self.tree_num} root)"
          elif self.left is None and self.right is None:
              return f"Val: {self.value[0][0]:0.3f} (leaf)"
          else:
              return (
                  f"X_{self.feature} <= {self.threshold:0.3f} (split)"
              )
  
imports: from copy import deepcopy
  import numpy
  from matplotlib import pyplot
  from sklearn import datasets
  from sklearn import tree
  from sklearn.base import BaseEstimator
  from sklearn.linear_model import RidgeCV, RidgeClassifierCV
  from sklearn.model_selection import train_test_split
  from sklearn.tree import plot_tree
  from sklearn.utils import check_X_y
  from imodels.tree.viz_utils import extract_sklearn_tree_from_figs
label_desc: Use image node_id 5 for calling the Node obj's underlying member method code with example usage: obj.__str__() and returns: str, self, str, self, str, self, str, str, self, str, self, str, str, self, str, self, str, self, str, str, self, str, str, self, str, self, str