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Interactive visualization of machine learning model evaluation metrics
Jupyter Notebook Python
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README.md

Machine Learning Interactive Visualization

Binder

An interactive dashboard made with Jupyter and Voila. Users can play around with parameter like class imbalance, model strength or cutoff value and observe the effects on metris like ROC/AUC or accuracy/precision/recall.

Now available live here and in the official Voila Gallery.

Some code copied from this voila example.

Deployment: https://voila.readthedocs.io/en/latest/deploy.html#deployment-on-heroku

ml

ToDo

  • More comprehensive Readme on machine learning model evaluation, describing metrics in detail
  • Create GIFs and add to Readme
  • Smoother refresh and faster plot update. Could be possible via using matplotlib's notebook or widget backend, but currently not working, see this GitHub issue.
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