code: def evalerror_02(self, preds, dtrain):
      labels = dtrain.get_label()
      return [
          ("error", float(sum(labels != (preds > 0.0))) / len(labels))
      ]
  
imports: import numpy
  import pytest
  import xgboost
  from xgboost import testing
  from xgboost.testing.metrics import check_precision_score, check_quantile_error
label_desc: Use image node_id 2 for calling the TestEvalMetrics obj's underlying member method code with example usage: obj.evalerror_02(preds, dtrain) and returns: list