code: def calculate_brier_score_loss(actuals, probas):
      return -1 * brier_score_loss(actuals, probas)
  
file_path: auto_ml/tests/advanced_tests/utils_testing.py
imports: import sys, os
  import pandas
  from sklearn.datasets import load_boston
  from sklearn.metrics import brier_score_loss, mean_squared_error
  from sklearn.model_selection import train_test_split
  from auto_ml import Predictor
label_desc: Use image node_id 6 for calling a global function with example usage: calculate_brier_score_loss(actuals, probas) and returns: unknown