code: def batch_remove_absolute_retrain__r2(
      X, y, model_generator, method_name, num_fcounts=11
  ):
      """Batch Remove Absolute (retrain)
      xlabel = "Fraction of features removed"
      ylabel = "1 - R^2"
      transform = "one_minus"
      sort_order = 13
      """
      return __run_batch_abs_metric(
          measures.batch_remove_retrain,
          X,
          y,
          model_generator,
          method_name,
          sklearn.metrics.r2_score,
          num_fcounts,
      )
  
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 34 for calling a global function with example usage: batch_remove_absolute_retrain__r2(X, y, model_generator, method_name, num_fcounts) and returns: __run_batch_abs_metric