A note on the interpretability of machine learning algorithms
Alternative title: | The interpretability of machine learning algorithms |
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Year of publication: |
[2020]
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Authors: | Guégan, Dominique |
Publisher: |
Venice Italy : Department of Economics, Ca’ Foscari University of Venice |
Subject: | Agnostic models | Artificial Intelligence | Counterfactual approach | Interpretability | LIME method | Machine learning | Künstliche Intelligenz | Artificial intelligence | Algorithmus | Algorithm | Theorie | Theory | Prognoseverfahren | Forecasting model |
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