A data scientist is preparing to brief a non-technical audience that is focused on analysis and results. During the modeling process, the data scientist produced the following artifacts:
Charts and dashboards -
Model performance statistics (accuracy, precision, recall, F1 score, etc.)
Mathematical descriptions of clustering algorithms included in the selected model
Model selection, justification, and purpose
Code documentation -
Data dictionary -
Which of the following artifacts should the data scientist include in the briefing? (Choose two.)
SuntzuLegacy
1Â month, 1Â week ago