ModelForge

fraud-detector, latest report Thursday, October 8, 2026

All checks within limits

Drift, recall and data quality are inside their thresholds. 126 alert days in the last year.

Healthy
74days
Watch
165days
Alert
126days
Jul 11 to Oct 8
Predictions
5,400
0.0% vs prior 90d
Flagged as fraud
14.7%
2.3 pts vs prior 90d
Recall, mean
0.66
0.32 vs prior 90d
Largest drift
3.67
AlertTransaction type, Jul 22

Feature drift

How far each input has moved from its training distribution (PSI). The model alerts when any feature reaches 0.25.

< 0.100.10 to 0.250.25 to 11 to 33 or more

Recall and precision

Scored against fraud labels, which arrive about a week after each prediction. Recall below 0.80 raises an alert.

Recall Precision

Flagged as fraud

Share of transactions the model flags each day. A shift here, with no change in recall, means the inputs moved.

Alerts

Sent to Telegram and the webhook when a check crosses its threshold, at most once a day per kind.