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Ablation studies are experiments designed to understand the contribution of individual components of a model by systematically removing or altering them and observing the resulting performance changes. This technique helps researchers identify which parts of a model are crucial for its success, providing insights into model interpretability and enhancing explainability. By analyzing how the performance drops when specific components are removed, ablation studies reveal dependencies and significance of various features within the model.
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