4i. Accuracy vs. Explainability trade-off

The Data Scientist needs to make the right call, depending on the particular problem, between accuracy and explainability. There are situations where explainability should prevail over accuracy. Conversely, there are times when explainability is not a must have. It is expected a professional decision based on the predicted use of the model

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