Data Science

Final Project Part 9: Monitoring

Senior Data Analyst
May 29, 2026
5 min read

What to Monitor

1. **Prediction drift**: Are the predictions changing over time?

2. **Feature drift**: Is the input data distribution changing?

3. **Actual outcomes**: Re-evaluate accuracy as new labels come in.

When to Retrain

  • Performance drops by >5%.
  • New feature becomes available.
  • Business context changes.
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