old_contents: from .accuracy import Accuracy
  from .balanced_accuracy import BalancedAccuracy
  from .base import BaseScoreType
  from .brier_score import (
      BrierScore, BrierSkillScore, BrierScoreReliability, BrierScoreResolution)
  from .clustering_efficiency import ClusteringEfficiency
  from .classification_error import ClassificationError
  from .combined import Combined
  from .detection import (
      OSPA, SCP, DetectionPrecision, DetectionRecall, MADCenter, MADRadius,
      AverageDetectionPrecision, DetectionAveragePrecision)
  from .f1_above import F1Above
  from .macro_averaged_recall import MacroAveragedRecall
  from .make_combined import MakeCombined
  from .mare import MARE
  from .negative_log_likelihood import NegativeLogLikelihood
  from .normalized_gini import NormalizedGini
  from .normalized_rmse import NormalizedRMSE
  from .relative_rmse import RelativeRMSE
  from .rmse import RMSE
  from .roc_auc import ROCAUC
  from .soft_accuracy import SoftAccuracy
  
  __all__ = [
      'Accuracy',
      'BalancedAccuracy',
      'BaseScoreType',
      'BrierScore',
      'BrierScoreReliability',
      'BrierScoreResolution',
      'BrierSkillScore',
      'ClassificationError',
      'ClusteringEfficiency',
      'Combined',
      'DetectionPrecision',
      'DetectionRecall',
      'DetectionAveragePrecision',
      'F1Above',
      'MacroAveragedRecall',
      'MakeCombined',
      'MADCenter',
      'MADRadius',
      'MARE',
      'NegativeLogLikelihood',
      'NormalizedGini',
      'NormalizedRMSE',
      'OSPA',
      'RelativeRMSE',
      'RMSE',
      'ROCAUC',
      'SCP',
      'SoftAccuracy',
  ]
  
new_contents: from .accuracy import Accuracy
  from .balanced_accuracy import BalancedAccuracy
  from .base import BaseScoreType
  from .brier_score import (
      BrierScore, BrierSkillScore, BrierScoreReliability, BrierScoreResolution)
  from .clustering_efficiency import ClusteringEfficiency
  from .classification_error import ClassificationError
  from .classifier_base import ClassifierBaseScoreType
  from .combined import Combined
  from .detection import (
      OSPA, SCP, DetectionPrecision, DetectionRecall, MADCenter, MADRadius,
      AverageDetectionPrecision, DetectionAveragePrecision)
  from .f1_above import F1Above
  from .macro_averaged_recall import MacroAveragedRecall
  from .make_combined import MakeCombined
  from .mare import MARE
  from .negative_log_likelihood import NegativeLogLikelihood
  from .normalized_gini import NormalizedGini
  from .normalized_rmse import NormalizedRMSE
  from .relative_rmse import RelativeRMSE
  from .rmse import RMSE
  from .roc_auc import ROCAUC
  from .soft_accuracy import SoftAccuracy
  
  __all__ = [
      'Accuracy',
      'BalancedAccuracy',
      'BaseScoreType',
      'BrierScore',
      'BrierScoreReliability',
      'BrierScoreResolution',
      'BrierSkillScore',
      'ClassificationError',
      'ClassifierBaseScoreType',
      'ClusteringEfficiency',
      'Combined',
      'DetectionPrecision',
      'DetectionRecall',
      'DetectionAveragePrecision',
      'F1Above',
      'MacroAveragedRecall',
      'MakeCombined',
      'MADCenter',
      'MADRadius',
      'MARE',
      'NegativeLogLikelihood',
      'NormalizedGini',
      'NormalizedRMSE',
      'OSPA',
      'RelativeRMSE',
      'RMSE',
      'ROCAUC',
      'SCP',
      'SoftAccuracy',
  ]
  
subject: Add ClassifierBaseScoreType to score_types.__init__ (#281)