3 / 4 Production Monitoring

What should be monitored after model deployment?

After deploying a machine learning model, which issue should be monitored continuously?

A

Only the model's initial cross-validation score

B

Only the original training loss

C

Distribution drift, performance degradation, calibration drift, and data quality problems

D

Only the number of Python files in the project