code: def class_avg_c(prediction, y, significance):
      """Calculates the average number of classes per prediction of a conformal
      classification model.
      """
      prediction = prediction > significance
      return np.sum(prediction) / prediction.shape[0]
  
file_path: lightwood/lightwood/analysis/nc/metrics.py
imports: import numpy
label_desc: Use image node_id 15 for calling a global function with example usage: class_avg_c(prediction, y, significance) and returns: unknown