code: def remove_absolute_mask__r2(
      X, y, model_generator, method_name, num_fcounts=11
  ):
      """Remove Absolute (mask)
      xlabel = "Max fraction of features removed"
      ylabel = "1 - R^2"
      transform = "one_minus"
      sort_order = 9
      """
      return __run_measure(
          measures.remove_mask,
          X,
          y,
          model_generator,
          method_name,
          0,
          num_fcounts,
          sklearn.metrics.r2_score,
      )
  
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 11 for calling a global function with example usage: remove_absolute_mask__r2(X, y, model_generator, method_name, num_fcounts) and returns: __run_measure