code: def holdout_first_row(train_dataset, target_column):
      return train_dataset.iloc[1:5, :], train_dataset.iloc[[0], :]
  
imports: from hyperparameter_hunter import Environment, CVExperiment, FeatureEngineer, EngineerStep
  from hyperparameter_hunter.callbacks.recipes import dataset_recorder
  import numpy
  from numpy.testing import assert_array_almost_equal
  import pandas
  from pandas.testing import assert_frame_equal
  import pytest
  from sklearn.ensemble import AdaBoostClassifier
  from sklearn.preprocessing import StandardScaler
label_desc: Use image node_id 11 for calling a global function with example usage: holdout_first_row(train_dataset, target_column) and returns: train_dataset,  train_dataset