Why did the prediction change? Explaining changes in predictions as time progresses
Few works on machine learning (ML) explanations design explanations from the perspective of model deployment in the real-world. This work addresses the challenges of understanding ML models applied to event-based time-series data, concretizes two explanation scenarios, and proposes explanations base...
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Format: | Thesis |
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Massachusetts Institute of Technology
2024
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Online Access: | https://hdl.handle.net/1721.1/153884 |