https://github.com/timvink/demo_streamlit_threshold_classifier
Demonstrates how to use streamlit to set the threshold for a classifier
https://github.com/timvink/demo_streamlit_threshold_classifier
Last synced: 9 months ago
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Demonstrates how to use streamlit to set the threshold for a classifier
- Host: GitHub
- URL: https://github.com/timvink/demo_streamlit_threshold_classifier
- Owner: timvink
- License: mit
- Created: 2020-07-16T13:37:13.000Z (about 6 years ago)
- Default Branch: master
- Last Pushed: 2020-10-20T08:20:38.000Z (almost 6 years ago)
- Last Synced: 2025-04-14T16:14:11.540Z (over 1 year ago)
- Language: Python
- Size: 592 KB
- Stars: 4
- Watchers: 1
- Forks: 1
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
- License: LICENSE
Awesome Lists containing this project
README
[](https://share.streamlit.io/timvink/demo_streamlit_threshold_classifier/app.py)
# Using streamlit to set the threshold for a classifier
:notebook: This code accompanies the blog post at https://www.timvink.nl/streamlit-threshold-app/
## Intro
Machine learning classifiers can make binary predictions by setting a threshold on the predicted probabilities. Often it makes sense to set this threshold together with business stakeholders that understand the problem domain.
This repository demonstrates a [streamlit](https://docs.streamlit.io/en/stable/index.html) app that can facilitate the interactive setting of threshold.
## App
Run the app with:
```bash
pip install -r requirements.txt
streamlit run app.py
```
This is what it looks like:
## Further reading
Read the full post at [timvink.nl/streamlit-threshold-app/](https://www.timvink.nl/streamlit-threshold-app/)
Other resources:
- [Streamlit video tutorial](https://calmcode.io/streamlit/hello-world.html) Crystal-clear and concise video tutorial by [calmcode.io](https://calmcode.io/)
- [Streamlit 101: An in-depth introduction](https://towardsdatascience.com/streamlit-101-an-in-depth-introduction-fc8aad9492f2) Great example use-case on NYC airbnb data
- [Streamlit API reference](https://docs.streamlit.io/en/stable/api.html#display-text) Overview of all the streamlist elements
- [Streamlit community components](https://www.streamlit.io/components)
- [awesome-streamlit](https://github.com/MarcSkovMadsen/awesome-streamlit) list of streamlit resources
- [github streamlit topic](https://github.com/topics/streamlit) is a great way to discover more streamlit libraries