ARIA, HaRIA, and GeRIA: Novel Metrics for Pre-Model Interpretability
This work proposes three novel Pre-Model Interpretability metrics: HaRIA, ARIA, and GeRIA. They aim to assess the potential utilization of features in machine learning models prior to the training phase, by quantifying the Relative Information Availability. These metrics integrate Mutual Information...
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| Autore principale: | |
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| Natura: | Artigo |
| Lingua: | Inglês |
| Pubblicazione: |
IEEE
2024-01-01
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| Serie: | IEEE Access |
| Soggetti: | |
| Accesso online: | https://ieeexplore.ieee.org/document/10663744/ |
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