code: def test_get_clean_prediction(target, prediction, expected):
      actual = pd.DataFrame(
          get_clean_prediction(
              pd.DataFrame(target), pd.DataFrame(prediction)
          )
      )
      assert actual.equals(pd.DataFrame(expected))
  
imports: from hyperparameter_hunter.metrics import ScoringMixIn, Metric, format_metrics, wrap_xgboost_metric
  from hyperparameter_hunter.metrics import get_formatted_target_metric, get_clean_prediction
  from collections import OrderedDict
  import numpy
  import pandas
  import pytest
  import sys
  from sklearn.metrics import roc_auc_score, hamming_loss, r2_score, f1_score
label_desc: Use image node_id 26 for calling a global function with example usage: test_get_clean_prediction(target, prediction, expected) without return types