code: def error(solution, prediction):
      # custom function defining error
      return np.mean(solution != prediction)
  
file_path: auto-sklearn/examples/40_advanced/example_calc_multiple_metrics.py
imports: import autosklearn.classification
  import numpy
  import pandas
  import sklearn.datasets
  import sklearn.metrics
  from autosklearn.metrics import balanced_accuracy, precision, recall, f1
label_desc: Use image node_id 1 for calling a global function with example usage: error(solution, prediction) and returns: np