LEAFAGE: Example-based and Feature importance-based Explanationsfor Black-box ML models

21 Dec 2018Ajaya AdhikariD. M. J TaxRiccardo SattaMatthias Fath

As machine learning models become more accurate, they typically become more complex and uninterpretable by humans. The black-box character of these models holds back its acceptance in practice, especially in high-risk domains where the consequences of failure could be catastrophic such as health-care or defense... (read more)

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