---
title: "Comment by StackShortlist on \"Why typed decisions?\" | Hashnode"
description: "Being upfront about the trade is what makes this series credible: 86.9% on the BANKING77 test set, compared against 83 to 85% for classifiers trained on 10 mess"
url: "https://hashnode.com/posts/why-typed-decisions/6ad2ac5aa305ffe6691817a4/comment/6ad2ee7d297ccb0383ba4979"
---

[Discussion](https://hashnode.com/posts/why-typed-decisions/6ad2ac5aa305ffe6691817a4)

Comment [Why typed decisions?](https://hashnode.com/posts/why-typed-decisions/6ad2ac5aa305ffe6691817a4)

[Oct 17](https://hashnode.com/posts/why-typed-decisions/6ad2ac5aa305ffe6691817a4/comment/6ad2ee7d297ccb0383ba4979)

Being upfront about the trade is what makes this series credible: 86.9% on the BANKING77 test set, compared against 83 to 85% for classifiers trained on 10 messages per intent and about 93% with full training data. Framing the goal as knowing which answers to act on, which to clarify and which to hand off is a practical way to think about it. Refitting the calibration in seconds when labels change, instead of retraining, also keeps the setup cheap to maintain.

[Limin Ma](https://hashnode.com/@liminma)

[1d ago](https://hashnode.com/posts/why-typed-decisions/6ad2ac5aa305ffe6691817a4/comment/6ad2ee7d297ccb0383ba4979#reply-6af6365ac2b68ec6d70cdb84)

Thanks for reading. [Post 8](https://liminma.hashnode.dev/from-confidence-to-action) is now up. It shows how the thresholds are chosen and how much the 98.7% could vary on other messages. One detail this post leaves out: the model needs a few minutes to answer the new calibration messages before the refit after a label change.