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Preference should be given to deterministic modelling as it has predefined results and possible output, unlike the stochastic model that has real time input only.
Determine models do a better job of identifying necessary vs. sufficient conditions. In a logistic regression , for example. a variable that is truly sufficient and necessary would be dropped from the model since it perfectly predicts the outcome.
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