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- The ideal predictive model should:
Adequately fit the data (no under or overfit !)
Giving correct predictions outside the original
(training) data set on new (validation) data sets
More external validations means more confidence
in applying the model (…and negative results
reduce it)
Different degrees of generalization of the model
based on the type of validation (range of doses,
delivery technique, temporal, geographical,……)
Heavy lacks of available predictive models with
(satisfactory) external validation !
Need of much more efforts to accomplish accurate
and well assessed validation studies
Validating Phenomenological models: a key point
External validation