leockl/sklearn-diagnose
🔍 AI-powered diagnosis for Scikit-learn models: Detect overfitting, data leakage, class imbalance & more with LLM-generated insights
This helps data scientists and machine learning engineers understand why their Scikit-learn models aren't performing as expected. You input your trained model and datasets, and it outputs a detailed report identifying common issues like overfitting, data leakage, or class imbalance, along with actionable recommendations. It acts as an 'MRI scan' to diagnose your model's health.
Available on PyPI.
Use this if you need clear, evidence-based insights into why your machine learning model is underperforming and want specific steps to improve it, without having to manually dig through metrics.
Not ideal if you are looking for a tool that automatically fixes or retrains your model, as this only provides diagnosis and recommendations.
Stars
52
Forks
6
Language
Python
License
MIT
Category
Last pushed
Jan 30, 2026
Commits (30d)
0
Dependencies
14
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