The model still runs without errors.
Performance seems “okay.”
But I suspect it’s getting stale.
There’s no obvious trigger.
Lost your password? Please enter your email address. You will receive a link and will create a new password via email.
Please briefly explain why you feel this question should be reported.
Please briefly explain why you feel this answer should be reported.
Please briefly explain why you feel this user should be reported.
The model still runs without errors.
Performance seems “okay.”
But I suspect it’s getting stale.
There’s no obvious trigger.
Retraining decisions should be signal-driven, not guesswork.
Monitor drift metrics, business KPIs, and prediction confidence trends. Combine these signals to define retraining thresholds.
In some systems, scheduled retraining works. In others, event-driven retraining is more effective.
The takeaway is that retraining should be deliberate and measurable.