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When you deploy a machine learning model, you need to monitor it's performance in production. If the model's ROC-AUC falls by 0.1, the mean/s.d. of one of it's
by oli5679 8y ago
When you deploy a machine learning model, you need to monitor it's performance in production.
If the model's ROC-AUC falls by 0.1, the mean/s.d. of one of it's inputs changes by more than 50% or the number of N.a.s for an input increases suddenly or if the monitoring report dies, then the model owner should get an alert quickly.