code: def run(_config):
      X, y = datasets.load_breast_cancer(return_X_y=True)
      (
          X_train,
          X_test,
          y_train,
          y_test,
      ) = model_selection.train_test_split(X, y, test_size=0.2)
      clf = get_model(
          _config["C"], _config["gamma"], _config["kernel"]
      )  # Parameters are passed explicitly.
      clf.fit(X_train, y_train)
      return clf.score(X_test, y_test)
  
imports: from sacred import Experiment
  from sacred.observers import FileStorageObserver
  from sklearn import svm, datasets, model_selection
label_desc: Use image node_id 2 for calling a global function with example usage: run(_config) and returns: clf