code: def remove_negative_retrain(
      X, y, model_generator, method_name, num_fcounts=11
  ):
      """Remove Negative (retrain)
      xlabel = "Max fraction of features removed"
      ylabel = "Mean model output"
      transform = "identity"
      sort_order = 12
      """
      return __run_measure(
          measures.remove_retrain,
          X,
          y,
          model_generator,
          method_name,
          -1,
          num_fcounts,
          __mean_pred,
      )
  
imports: import hashlib
  import os
  import time
  import numpy
  import sklearn
  from ..None import __version__
  from .None import measures, methods
label_desc: Use image node_id 32 for calling a global function with example usage: remove_negative_retrain(X, y, model_generator, method_name, num_fcounts) and returns: __run_measure