code: def get_d_prime(auc_roc_value):
      d_prime = stats.norm().ppf(auc_roc_value) * np.sqrt(2.0)
      return d_prime
  
imports: from absl import logging
  import numpy
  from scipy import stats
  from sklearn.metrics import average_precision_score
  from sklearn.metrics import roc_auc_score
label_desc: Use image node_id 1 for calling a global function with example usage: get_d_prime(auc_roc_value) and returns: d_prime