code: def mse(x, y):
      return np.mean((x - y) ** 2)
  
file_path: miceforest/tests/test_imputed_accuracy.py
imports: from sklearn.datasets import load_iris
  import pandas
  import numpy
  import miceforest
  from miceforest.utils import logistic_function
  from sklearn.metrics import roc_auc_score
  from miceforest import mean_match_fast_cat, mean_match_default, mean_match_shap
label_desc: Use image node_id 1 for calling a global function with example usage: mse(x, y) and returns: np