code: def default_analysis(json_file, model, df, y):
      acc_results = acc_score(model, df, y)
      cv_results = cross_score(json_file, df, model, y)
      matrix = confusion(model, df, y)
      precise = precision_calculation(model, df, y)
      recaller = recall_score_helper(model, df, y)
      return acc_results, cv_results, matrix, precise, recaller
  
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 1 for calling a global function with example usage: default_analysis(json_file, model, df, y) and returns: acc_results,  cv_results,  matrix,  precise,  recaller