code: def mean_squared_error(y_true, y_pred):
      """Returns the mean squared error between y_true and y_pred"""
      mse = np.mean(np.power(y_true - y_pred, 2))
      return mse
  
file_path: ML-From-Scratch/mlfromscratch/utils/data_operation.py
imports: from __future__ import division
  import numpy
  import math
  import sys
label_desc: Use image node_id 2 for calling a global function with example usage: mean_squared_error(y_true, y_pred) and returns: mse