When a data scientist is writing advanced predictive analytics or machine learning (ML) algorithms, why is it important to visualize the outputs?(1 point)

Question

Responses

to replace complex interpretations of numerical outputs
to replace complex interpretations of numerical outputs

to offer alternative views, enhancing trust
to offer alternative views, enhancing trust

to monitor results and make sure that models are performing as planned
to monitor results and make sure that models are performing as planned

to make the meeting more interesting

Answer 1

The most appropriate response is:

to monitor results and make sure that models are performing as planned.

While the other options have their merits, the primary purpose of visualizing outputs in predictive analytics and machine learning is to effectively monitor and ensure that models are functioning as expected and to identify any potential issues or discrepancies in their performance.