class_docstr: Evaluate the average performance (objective value) for each search algorithm
  at different time steps (trial number).
  The performance (objective value) used for a trial will the best result until the trial.
code: def __init__(self, repetitions=1):
      super().__init__(repetitions=repetitions)
  
imports: from collections import defaultdict
  from orion.benchmark.assessment.base import BenchmarkAssessment
  from orion.plotting.base import regrets
label_desc: Use image node_id 1 to create a new AverageResult object from inherited base classes: BenchmarkAssessment with example: obj = AverageResult(repetitions)