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Proposed by Lundberg and Lee, SHAP offers a unified framework for explaining the output of any ML model [25]. This technique visualizes the contribution of each feature to the model’s prediction for a specific instance, illustrating how each feature shifts the model’s output from the base value.
All computations, model training, validation, and evaluation processes were executed using Python (version 3.12.4; Python Software Foundation).
J Med Internet Res 2025;27:e62805
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