HIGHLIGHTS
SUMMARY
The authors note that when an array of ML methods were used (e_g testing and then selecting a best-performing classifier in Published in partnership with Seoul National University Bundang Hospital either neuroimaging or survey data), with one exception20, there was no definition of what explainability meant and the authors deferred to the XAI method used. An AI/ML algorithm takes some input and performs operations to derive a feature space which is the basis for downstream computations that implement the desired functionality e_g classification, regression, function approximation, etc. Clearly, criteria (a) will be . . .
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