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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

DOI

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

From Leong et. al. 2021

Metrics 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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