code: def _reg_interval_size(prediction, y, significance):
      idx = int(significance * 100 - 1)
      prediction = prediction[:, :, idx]
  
      return prediction[:, 1] - prediction[:, 0]
  
file_path: lightwood/lightwood/analysis/nc/metrics.py
imports: import numpy
label_desc: Use image node_id 8 for calling a global function with example usage: _reg_interval_size(prediction, y, significance) and returns: unknown