architdatar/ml_uncertainty
Get prediction intervals, confidence intervals, and parameter uncertainties for various machine learning models
This tool helps data scientists and ML enthusiasts quantify the precision of their machine learning models. You provide your fitted scikit-learn model and data, and it outputs prediction intervals, confidence intervals, and insights into which model parameters or features are truly significant. This helps you build more reliable models and gain critical insights, especially with smaller datasets.
Available on PyPI.
Use this if you need to understand the uncertainty in your machine learning predictions or the significance of your model's features, particularly when working with scikit-learn models.
Not ideal if you primarily work with very large datasets where estimating prediction intervals for every single prediction is computationally prohibitive and you are solely focused on point predictions.
Stars
19
Forks
2
Language
Python
License
MIT
Last pushed
Feb 09, 2026
Commits (30d)
0
Dependencies
5
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