lorentzenchr/model-diagnostics
Tools for diagnostics and assessment of (machine learning) models
This tool helps data scientists and machine learning engineers rigorously evaluate the performance and fairness of their predictive models. It takes your model's predictions and the actual observed outcomes, then generates detailed diagnostic plots and metrics. The output helps you understand if your model is well-calibrated and how to improve its accuracy across different scenarios.
Available on PyPI.
Use this if you need to thoroughly diagnose why your machine learning model might be underperforming or making biased predictions.
Not ideal if you are looking for a tool to build or train machine learning models, as this focuses solely on post-training assessment.
Stars
41
Forks
5
Language
Python
License
MIT
Category
Last pushed
Feb 28, 2026
Commits (30d)
0
Dependencies
6
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