docstr: Validation performance of the ensemble that is best for the 1st metric.
  
  Returns
  -------
  float
docstr_tok: ["Validation","performance","of","the","ensemble","that","is","best","for","the","1st","metric",".","Returns","--","--","--","-","float"]
code: def get_validation_performance(self) -> float:
      """Validation performance of the ensemble that is best for the 1st metric.
  
      Returns
      -------
      float
      """
      return self.pareto_set[0].get_validation_performance()
  
imports: from __future__ import annotations
  from typing import Sequence
  import warnings
  import numpy
  from sklearn.exceptions import NotFittedError
  from autosklearn.automl_common.common.utils.backend import Backend
  from autosklearn.constants import TASK_TYPES
  from autosklearn.data.validation import SUPPORTED_FEAT_TYPES
  from autosklearn.ensemble_building.run import Run
  from autosklearn.ensembles.abstract_ensemble import AbstractEnsemble, AbstractMultiObjectiveEnsemble
  from autosklearn.ensembles.singlebest_ensemble import SingleModelEnsemble
  from autosklearn.metrics import Scorer, calculate_losses
  from autosklearn.pipeline.base import BasePipeline
  from autosklearn.util.multiobjective import pareto_front
label_desc: Use image node_id 9 for calling the MultiObjectiveDummyEnsemble obj's underlying member method code with example usage: obj.get_validation_performance() and returns: self