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 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
to make the meeting more interesting

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

Answer 1

The most relevant response is:

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

Visualizing the outputs of predictive analytics or machine learning algorithms allows data scientists to track model performance, identify patterns or anomalies, and ensure that their models are making accurate predictions. While enhancing trust and making meetings more interesting can be secondary benefits, the primary importance lies in monitoring results and validating model performance.