A Python package for computing additional classification metrics for machine learning or AI models. These metrics include and also known as AUC, NRI, and IDI
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AUC_NRI_IDI_python_functions
Custom python functions to help you further analyse machine learning models and diagnostic test.
Will help you make plots and compute evaluation metrics as seen in Nature Article, Leong et al. 2021
Functions to compute and plot:
- AUC = Area Under the Curve
- NRI = Net Reclassification Index
- IDI = Integrated Discrimination Improvement
Run "example.ipynb" Jupyter notebook to see and use functions
Code and concepts further explained in the following post: "Area Under the Curve and Beyond" or "On Medium/Towards Data Science"
contact Lambert Leong
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