Your data science project is running out of time. How do you choose which features to prioritize? (original) (raw)

When the clock is against you in a data science project, it becomes critical to identify and focus on the most impactful features. To make the right call:

- Assess feature importance. Use statistical techniques to rank features based on their impact on model performance.

- Consult stakeholder objectives. Align feature prioritization with key business goals and stakeholder needs.

- Simplify models when necessary. Opt for models with fewer variables that are easier to interpret and validate quickly.

How do you tackle feature prioritization when time is short? Share your strategies.