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An empirical study of the effect of background data size on the stability of SHapley Additive exPlanations (SHAP) for deep learning models.

Han YuanMingxuan LiuLican KangChenkui MiaoYing Wu
Published in: CoRR (2022)
Keyphrases
  • learning models
  • data sets
  • data analysis
  • training data
  • learning algorithm
  • semi supervised
  • labeled data
  • learning tasks
  • real world
  • genetic algorithm
  • classification accuracy
  • knowledge discovery
  • training examples