3b(i) Accuracy importance depending on the nature of the problem

The Data Scientist is accountable for selecting the best accuracy measure possible depending on the nature of the problem, as well as proactively assessing the validity of the model. Options, accuracy measures, and choices should be documented.

Comments

  • Juan Bernabé Moreno says:

    For example, an algorithm designed to classify customers according to the predicted response to a campaign has no consequences if it fails for a customer.
    An algorithm designed to assess, according to real time thermal imagery, whether a location is safe for a workforce to perform maintenance work, would put a person’s life at risk in the event of a false negative.

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