Hitman & Quantify
Hitman Hitman
Quantify Quantify
Hitman Hitman
I’ve been mapping routine patterns in target locations. How accurate are your predictive models when the data shows a sudden, unanticipated anomaly?
Quantify Quantify
When a rogue data point pops up the model’s confidence interval widens, so you’ll see a 70‑80% accuracy ballpark until you re‑train with the anomaly marked, otherwise it’s basically a caution flag; it’s not a crystal ball, it’s a spreadsheet that gets confused by a rogue data point.
Hitman Hitman
Got it, adjust the training set, keep a close eye on the flagged values, and stay ready for the next anomaly.
Quantify Quantify
Sounds like a plan—just remember to log each flagged value so the next anomaly doesn’t catch us off guard.
Hitman Hitman
Sounds good, I'll log them and stay alert for the next one.
Quantify Quantify
Good move, just make sure the logs include a timestamp and context so the next anomaly isn’t just a data point in a spreadsheet.
Hitman Hitman
Will do, timestamped and contextualized logs.