code: def cross_score(json_file, df, model, y):
      (y)
      if "analysis" in json_file:
          cv_fold = (
              json_file["analysis"]["spec"]
              if "spec" in json_file["analysis"]
              else 5
          )
      else:
          cv_fold = 2
      return cross_val_score(
          model, df["train"], y["train"], cv=cv_fold
      ).tolist()
  
file_path: nylon/nylon/analysis/analysis.py
imports: from sklearn.metrics import accuracy_score
  from sklearn.metrics import precision_score, recall_score
  from sklearn.metrics import confusion_matrix
  from sklearn.model_selection import cross_val_score
  import numpy
label_desc: Use image node_id 3 for calling a global function with example usage: cross_score(json_file, df, model, y) and returns: cross_val_score