Extensions of the External Validation for Checking Learned Model Interpretability and Generalizability
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We discuss the validation of machine learning models, which is standard practice in determining model efficacy and generalizability. We argue that internal validation approaches, such as cross-validation and bootstrap, cannot guarantee the quality of a machine... ...
