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The hyperparameter search space included the number of estimators (n_estimators: 50‐500) and the maximum depth of trees (max-depth: 1‐20). A total of 5 hyperparameter configurations were randomly sampled, balancing exploration with computational efficiency. The model was evaluated across different combinations of features, and the best-performing configuration from the process was selected for final evaluation on the validation set.
JMIR Med Inform 2025;13:e69282
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Users' Perceptions and Trust in AI in Direct-to-Consumer mHealth: Qualitative Interview Study
JMIR Mhealth Uhealth 2025;13:e64715
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