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Which techniques ensure a model can explain its decisions and predictions?

Which techniques ensure a model can explain its decisions and predictions?
A . Implementing deep learning models exclusively
B . Using highly non-linear models without any simplification
C . Integrating explanation frameworks like LIME or SHAP
D . Minimizing the use of regularization techniques

Answer: C

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