# google/TrustScore

<https://repo.masters-masters.com/en/repos/google/TrustScore>

[Home](https://repo.masters-masters.com/en) › [google](https://repo.masters-masters.com/en/owners/google) › [TrustScore](https://repo.masters-masters.com/en/repos/google/TrustScore)

google/TrustScore has 181 stars on GitHub. Its RepoMasters card: Prototype tier. To Trust Or Not To Trust A Classifier. A measure of uncertainty for any…

| Field | Value |
| --- | --- |
| Owner | [google](https://repo.masters-masters.com/en/owners/google) |
| Stars | 181 |
| Forks | 41 |
| Language | [Jupyter Notebook](https://repo.masters-masters.com/en/languages/jupyter-notebook) |
| License | Apache-2.0 |
| Created | 2018 |
| Topics | uncertainty-neural-networks, uncertainty-estimation |
| Tier | [Prototype (100 to 249 ★)](https://repo.masters-masters.com/en/ranks/rush) |
| View on GitHub | [google/TrustScore](https://github.com/google/TrustScore) |

## Repository

To Trust Or Not To Trust A Classifier. A measure of uncertainty for any trained (possibly black-box) classifier which is more effective than the classifier's own implied confidence (e.g. softmax probability for a neural network).

Archived: this repository is read-only

The tier for repos with 100 to 249 ★. Published odds per card pulled: 70%. Rarity: Common.

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Data: GitHub · Illustration drawn by RepoMasters from the repo’s ID and its language color.
