code: def step_four(model, X_data, Y_data):
      from sklearn.linear_model import LogisticRegression  # noqa
      from sklearn.metrics import accuracy_score
  
      Y_pred = model.predict(X_data)
      return accuracy_score(Y_data, Y_pred, normalize=True)
  
imports: from clearml.automation.controller import PipelineDecorator
  from clearml import TaskTypes
label_desc: Use image node_id 4 for calling a global function with example usage: step_four(model, X_data, Y_data) and returns: accuracy_score